assessing the effects of co2 price caps on electricity investments a real options analysis abstract this paper uses real options modeling to assess the impact of different climate change policy instruments on investment profits and cumulative emissions in the electricity sector even though co 2 price caps or safety valves have been suggested as methods to limit uncertainty emanating from fluctuating prices of co 2 permits that would hurt the industry s profit and thereby also energy security our analysis shows that price caps set at a too low level are detrimental to the adoption of e g modern biomass fired capacity as a replacement for existing coal fired power plants we therefore conduct a series of experiments with different policy scenarios to analyze under which regime emissions are most effectively reduced with respect to co 2 price uncertainty it turns out that even for moderately rising co 2 prices fluctuations frequently lead to investment into carbon capture and storage ccs while investment is often not triggered in the face of deterministic co 2 prices

theoretical and empirical advantages of truncated count data estimators for analysis of deer hunting in california truncated poisson and truncated negative binomial count data models as well as standard count data models ols nonlinear normal and truncated nonlinear normal mle were used to estimate demand for deer hunting in california the truncated count data estimators and their properties are reviewed a large sample n 2223 allowed random segmenting of the data into specification estimation and out of sample prediction portions statistics of interest are therefore unbiased by the specification search and the prediction results allow comparison of the statistical models robustness the new estimators are found to be more appropriate for estimating and predicting demand and social benefits than the alternative estimators based on a variety of criteria

joint recreation choices and implied values of time a model of joint recreation quantity choices is developed individuals choose both total time spent at distant sites and the number of trips taken implicitly choosing average on site time the model permits nonzero marginal utility of travel makes on site time endogenous and is linear in the constraints the scarcity value of time is analyzed without assuming the marginal utility of work time is zero a partially testable assumption about relative marginal values of travel and on site time yields nonparametric calculations of the scarcity value of time and marginal values of trips and days on site from people s observed optimal quantity choices

a multi period optimization model for planning of china s power sector with consideration of carbon dioxide mitigation the importance of continuous and stable carbon mitigation policy abstract a great challenge china s power sector faces is to mitigate its carbon emissions whilst satisfying the ever increasing power demand optimal planning of the power sector with consideration of carbon mitigation for a long term future remains a complex task involving many technical alternatives and an infinite number of possible plants installations retrofitting and decommissioning over the planning horizon previously the authors built a multi period optimization model for the planning of china s power sector during 2010 2050 based on that model this paper executed calculations on the optimal pathways of china s power sector with two typical decision making modes which are based on full information and limited information hypothesis and analyzed the impacts on the optimal planning results by two typical types of carbon tax policies including a continuous and stable one and a loose first and tight later one the results showed that making carbon tax policy for long term future and improving the continuity and stability in policy execution can effectively help reduce the accumulated total carbon emissions and also the cost for carbon mitigation of the power sector the conclusion of this study is of great significance for the policy makers to make carbon mitigation policies in china and other countries as well

option value of gasification technology within an emissions trading scheme investment analysis is mostly implemented with discounted cash flow dcf methods such as the net present value npv the problem in a typical application of these methods is the limited ability to value real options management s ability to adapt to changing market conditions or to revise decisions this paper presents a simulation model in which the investment is regarded as a single firm problem in an operating environment with multiple exogenous and stochastic prices the simulation model is used to explore the impact of emissions trading and in particular the european union emissions trading scheme eu ets on investments in integrated gasification combined cycle igcc plants two real case studies are presented modifications of an existing condensing power plant and a new combined heat and power plant the benefit of the selected approach is that it can take into account the value of multiple simultaneous real options better than a standard dcf analysis the results show that a straightforward application of dcf analysis can lead to biased results in competitive energy markets within an emissions trading scheme where a number of uncertainties potentially combined with several real options can make quantitative investment appraisals very complex

uncertain regulatory timing and market dynamics abstract using a dynamic model of capacity accumulation i examine the relationship between uncertainty about the timing of a new pigouvian tax and oligopolistic competition i find that for some market structures uncertainty about the timing of the regulatory change leads firms to increase investment these results stem from the nature of the uncertainty and its interaction with firms strategic incentive to engage in capacity races they dramatize the importance of accounting for initial conditions when forecasting firms reactions to anticipated regulatory changes in addition i find that more protracted uncertainty leads to greater welfare costs

applying real options in investment decisions relating to environmental pollution abstract this study focuses on how to assess the optimal environmental investment decisions under economic and ecological uncertainty and establishes the continuous time model using the real option approach to optimize environmental pollution policy unlike traditional cost benefit analysis this work extends the model of pindyck r s 2002 optimal timing problems in environmental economics journal of economic dynamics and control 26 9 10 1677 1697 and attempts to identify the storage threshold of pollution stocks and the optimal timing for implementing environmental pollution decisions

possibilities for including the opportunity cost of time in recreation demand systems recreation demand modelers have attempted to identify and incorporate the opportunity cost of an individual s time in travel and on site in the model larson 1993b focused on the value of leisure time in a model where individuals face a fixed work week in this paper we examine the connection between labor supply and recreation demands and focus on conditional demand systems we illustrate that corner solution models are not needed to explain several interesting time related recreation issues

market efficiency and the u s market for sulfur dioxide allowances focusing on the u s sulfur dioxide so2 allowance market from its inception in 1994 to 2009 we model allowance prices to determine the influence of market fundamentals on allowance price level and volatility we find evidence that the so2 market operates in ways that are not inconsistent with an efficient market prices that reflect marginal abatement costs after the first few years of the program but before a court decision that introduced significant uncertainty into the market in mid 2008 our empirical analysis finds that the so2 market similar to other emission markets studied in the literature can remain relatively inefficient for several years after launch we also find that market volatility increases in response to all types of communications from the administrator suggesting that the development of a formal communication strategy possibly similar to that used by central banks would reduce price volatility and increase the efficiency of the market

business case uncertainty of power plants in future energy systems with wind power abstract the european power sector is transforming due to climate policies and an increased deployment of intermittent res the sector will require thermal power plants for the decades to come but their business cases are negatively affected by this transformation this study presents a novel tool to quantify the effect of policy price and project related uncertainties on power plant business cases this tool can support policymakers in stimulating necessary investments in new thermal generation capacity we find that these investments are currently unsound power plants recoup on average 12 to 59 of their initial investment future climate policy i e the co 2 price has a very strong impact on business cases affects the profitability by 5 40 points the impact of the deployment of wind power is average 2 8 point difference between 10 and 21 wind penetration variations in annual wind power production barely affect the profitability variation of 1 point to stimulate new investments policymakers should first decrease the uncertainty in business cases caused by policy durable climate policy is especially important also policies to increase the profits of thermal power plants should be carefully considered and implemented this combined approach will reduce the revenue gap that needs to be bridged by supportive policies

productivity metrics and consumers misunderstanding of time savings abstractthe marketplace is replete with productivity metrics that put units of output in the numerator and one unit of time in the denominator e g megabits per second mbps to measure download speed in this article three studies examine how productivity metrics influence consumer decision making many consumers have incorrect intuitions about the impact of productivity increases on time savings they do not sufficiently realize that productivity increases at the high end of the productivity range e g from 40 to 50 mbps imply smaller time savings than productivity increases at the low end of the productivity range e g from 10 to 20 mbps consequently the availability of productivity metrics increases willingness to pay for products and services that offer higher productivity levels this tendency is smaller when consumers receive additional information about time savings through product experience or through metrics that are linearly related to time savings consumers intuitions about time

the demand for spatially complementary national parks using a panel dataset on annual visits to each u s national park we empirically analyze the demand for these parks using a spatial lag model which accounts for the complementary nature of the parks our results suggest that increases in fuel costs temperature increases of greater than 3 f and restrictions on foreign tourism all lower visitation to u s national parks causing associated decreases in money spent by tourists jobs created and income generated these results can also be used to analyze the possible implications of proposed public policies such as international visa requirements gas taxes and carbon taxing trading

the boundaries of loss aversion abstract in this article the authors propose some psychological principles to describe the boundaries of loss aversion a key idea is that exchange goods that are given up as intended do not exhibit loss aversion for example the authors propose that money given up in purchases is not generally subject to loss aversion the results of several experiments provide preliminary support for the hypotheses the authors find that consistent with prospect theory loss aversion provides a complete account of risk aversion for risks with equal probability to win or lose the authors propose boundaries for this result and suggest further tests of the model

using revealed preferences to estimate the value of travel time to recreation sites the opportunity value of travel time vtt is one of the most important elements of the total cost of recreation day trips and arguably the most difficult to estimate most studies build upon the theoretical framework proposed by becker 1965 by using a combination of revealed and stated preference data to estimate a value of time which is uniform in all activities and under all circumstances this restriction is relaxed by deserpa s 1971 model which allows the value of saving time to be activity specific we present the first analysis which uses actual driving choices between open access and toll roads to estimate a vtt specific for recreation trips thereby providing a value which conforms to both becker s and deserpa s theoretical models using these findings we conduct a monte carlo simulation to identify generalizable results for subsequent valuation studies our results indicate that 3 4 of the wage rate provides a reasonable approximation of the average vtt for recreation trips while the commonly implemented assumption of 1 3 of the wage rate generates downward biased results

an optimization methodology for identifying robust process integration investments under uncertainty uncertainties in future energy prices and policies strongly affect decisions on investments in process integration measures in industry in this paper we present a five step methodology for the identification of robust investment alternatives incorporating explicitly such uncertainties in the optimization model methods for optimization under uncertainty or stochastic programming are thus combined with a deep understanding of process integration and process technology in order to achieve a framework for decision making concerning the investment planning of process integration measures under uncertainty the proposed methodology enables the optimization of investments in energy efficiency with respect to their net present value or an environmental objective in particular as a result of the optimization approach complex investment alternatives allowing for combinations of energy efficiency measures can be analyzed uncertainties as well as time dependent parameters such as energy prices and policies are modelled using a scenario based approach enabling the identification of robust investment solutions the methodology is primarily an aid for decision makers in industry but it will also provide insight for policy makers into how uncertainties regarding future price levels and policy instruments affect the decisions on investments in energy efficiency measures

co2 emission standards and investment in carbon capture abstract policy makers in a number of countries have proposed or are considering proposing co 2 emission standards for new fossil fuel fired power plants the proposed standards require coal fired power plants to have approximately the same carbon emissions as an uncontrolled natural gas fired power plant effectively mandating the adoption of carbon capture and sequestration ccs technologies for new coal plants however given the uncertainty in the capital and operating costs of a commercial scale coal plant with ccs the impact of such a standard is not apparent a priori we apply a stochastic generation expansion model to determine the impact of co 2 emission standards on generation investment decisions and in particular for coal plants with ccs moreover we demonstrate how the incentive to invest in coal ccs from emission standards depends on the natural gas price the co 2 price and the enhanced oil recovery price as well as on the level of the emission standard this analysis is the first to consider the entire power system and at the same time allow the capture percentage for ccs plants to be chosen from a continuous range to meet the given standard at minimum cost previous system level studies have assumed that ccs plants capture 90 of the carbon while studies of individual units have demonstrated the costs of carbon capture over a continuous range we show that 1 currently proposed levels of emission standards are more likely to shift fossil fuel generation from coal to natural gas rather than to incentivize investment in ccs 2 tighter standards that require some carbon reductions from natural gas fired power plants are more likely than proposed standards to incentivize investments in ccs especially on natural gas plants but also on coal plants at high gas prices and 3 imposing a less strict emission standard emission rates higher than natural gas but lower than coal e g 1500 lbs mwh is more likely than current proposals to incentivize investment in coal ccs technology but only at high gas prices and to a lesser extent than a stringent standard e g 300 lbs mwh

mental accounting and changes in price the frame dependence of reference dependence mental accounting principles for multiple events were replicated and then extended to pricing situations that were designed to moderate these principles if reference dependence is proportional i e if consumers evaluate events in terms of proportional deviations from reference states rather than raw deviations prices were stated with or without popular percentage based pricing frames such as 33 off mental accounting principles generally prevailed in the absence of percentage based frames however percentage based frames altered two principles and increased tendencies toward the others the findings demonstrate that mental accounting principles price perception and reference dependence are sensitive to the ways in which deviations from reference states are framed

sequential investment in renewable energy technologies under policy uncertainty although innovation and support schemes are among the main forces that drive investment in renewable energy re technologies both involve considerable uncertainty we develop a real options framework to analyse the impact of technological policy and electricity price uncertainty on the decision to invest sequentially in successively improved versions of a re technology technological uncertainty is reflected in the random arrival of innovations and policy uncertainty in the likely provision or retraction of a subsidy that takes the form of a fixed premium on top of the electricity price we show that greater likelihood of subsidy retraction provision lowers raises the incentive to invest and by comparing a stepwise to a lumpy investment strategy we show how an embedded option to adopt an improved technology version mitigates the impact of subsidy retraction on investment timing specifically we show how stepwise investment facilitates earlier technology adoption compared to lumpy investment and that under stepwise investment technological uncertainty accelerates technology adoption thus further offsetting the incentive to delay investment in the light of subsidy retraction

flexible investment under uncertainty in smart distribution networks with demand side response assessment framework and practical implementation abstract classical deterministic models applied to investment valuation in distribution networks may not be adequate for a range of real world decision making scenarios as they effectively ignore the uncertainty found in the most important variables driving network planning e g load growth as greater uncertainty is expected from growing distributed energy resources in distribution networks there is an increasing risk of investing in too much or too little network capacity and hence causing the stranding and inefficient use of network assets these costs are then passed on to the end user an alternative emerging solution in the context of smart grid development is to release untapped network capacity through demand side response dsr however to date there is no approach able to quantify the value of smart dsr solutions against conventional asset heavy investments on these premises this paper presents a general real options framework and a novel probabilistic tool for the economic assessment of dsr for smart distribution network planning under uncertainty which allows the modeling and comparison of multiple investment strategies including dsr and capacity reinforcements based on different cost and risk metrics in particular the model provides an explicit quantification of the economic value of dsr against alternative investment strategies through sensitivity analysis it is able to indicate the maximum price payable for dsr service such that dsr remains economically optimal against these alternatives the proposed model thus provides regulators with clear insights for overseeing dsr contractual arrangements further it highlights that differences exist in the economic perspective of the regulated dno business and of customers our proposed model is therefore capable of highlighting instances where a particular investment strategy is favorable to the dno but not to its customers or vice versa and thus aspects of the regulatory framework which may need altering the case study results indicate that dsr can be an economical option to delay or even avoid large irreversible capacity investments thus reducing overall costs for networks and end customers however in order for the value and benefits of dsr to be acknowledged a change in the regulatory framework currently based on deterministic analysis that takes explicit account of uncertainty in planning as suggested by our work is required

measuring the cost of time in recreation demand analysis comment in the february 1981 issue of the journal mcconnell and strand present a model of recreation demand in which the opportunity cost of an hour of travel to a recreation site is assumed not to equal the average hourly income of the recreating family they test the model with data from a 1978 survey of sportfishermen in the chesapeake bay region simply stated the model hypothesizes that the sportfishermen will behave as if the price of a recreational trip is the sum of cash costs and the opportunity cost of travel time this opportunity cost is hypothesized to be some ratio k of average family income per hour times the travel time mcconnell and strand estimate the value of k by regressing recreation days against cash costs and opportunity cost of time as separate variables the ratio of regression coefficients then is an estimate of k they go on to estimate the ratio k of the opportunity cost of travel to the average income for sportfishermen in the chesapeake bay region the authors hypothesize that the ratio k falls between 0 and 1 implying that sportfishermen value the time in transit lower than their average income when working sufficient conditions for k to equal one include a the tax rate is zero b marginal earnings are constant and c nonwork income equals zero this comment is written to point out certain aspects of the study which may have led to an underestimation of the value of k it is argued that mcconnell and strand have misspecified their demand equation in such a way that their estimate for k 612 is biased downward mcconnell and strand hypothesize the demand relation

hidden skewness on the difficulty of multiplicative compounding under random shocks multiplicative growth processes that are subject to random shocks often have an asymmetric distribution of outcomes in a series of incentivized laboratory experiments we show that a large majority of participants either strongly underestimate the asymmetry or ignore it completely participants misperceive the spread of the outcome distribution to be too narrowband and they estimate the median and the mode to lie too close to the center of the distribution failing to account for the compound nature of average growth the observed biases are measured irrespective to risk preferences and they appear under a variety of conditions the biases are largely consistent with a behavioral model in which geometric growth is confused with linear growth this confusion is a possible driver of investors difficulties with real world financial products like leveraged exchange traded funds and retirement savings plans data and the online appendix are available at https doi org 10 1287 mnsc 2016 2618 this paper was

biodiesel investment in a disruptive tax credit policy environment abstract an investigation of poisson type policy jumps on biodiesel investment considers the theory of investment under uncertainty the analysis studies the probability of implementing a policy if it is not in effect and the probability of withdrawal if it is in effect an application models the policy switching regime of the discontinuous u s federal tax credit of 1 00 per gallon on biodiesel results support that time inconsistent government policies do lead to market uncertainty the analysis reveals a pronounced negative impact on decisions to invest in a biodiesel refinery results do indicate a consistent policy switching regime may not be that disruptive to the emerging biodiesel industry it is policy uncertainty that drives the option pricing thresholds and a consistent policy switching does not increase the uncertainty

biomass and ccs the influence of technical change the combination of bioenergy production and carbon capture and storage technologies beccs provides an opportunity to create negative emissions of co2 in biofuel production however high capture costs reduce profitability this paper investigates carbon price uncertainty and technological uncertainty through a real option approach we compare the cases of early and delayed ccs deployments an early technological progress may arise from aggressive r d and pilot project programs but the expected cost reduction remains uncertain we show that this approach results in lower emissions and more rapid investment returns although these returns will not fully materialise until after 2030 in a second set of simulations we apply an incentive that prioritises sequestered emissions rather than avoided emissions in other words this economic instrument does not account for co2 emissions from the ccs implementation itself but rewards all the sequestered emissions in contrast with technological innovations this subsidy is certain for the investor the resulting investment level is higher and the project may become profitable before 2030 negative emission in bioethanol production does not seem to be a short term solution in our framework whatever the carbon price drift

strategies against shocks in power systems an analysis for the case of europe abstract electricity systems are constantly exposed to geopolitical techno economic and natural uncertainties that may endanger security of supply therefore it is crucial that policy makers concerned about it consider a variety of possible futures and not only the one that is perceived as the most likely in particular they should account for the possibility of sudden shocks in their decisions with the goal of making the system more robust however long term power system models which are an important pillar of policy decision making are typically designed to determine the cost minimal power system for a specific expected future such a system is not necessarily the most robust one by combining the classic investment optimization approach with the tools of robust decision making we analyze the viability of different strategies that may potentially increase the robustness of a power system for the case of the european power system we pursue a dedicated analysis with the european power system model limes eu based on a total of more than 40 000 model runs we find that strategies promoting the ability of countries to always produce at least 95 of their electricity demand domestically significantly help to reduce the loss of load in case of shocks such a strategy is not cost optimal for the expected future without shocks but the additional costs about 0 1 of total system costs are low compared to the benefits of significantly increasing the power system s robustness

a real option model for renewable energy policy evaluation with application to solar pv power generation in china abstract this study proposes a policy evaluation model from the perspective of government and investors the proposed model which integrates american option method and two factor learning curve method can be used to evaluate the unit decision value and save path rate for renewable energy development and examine the existence of balance point of interest several uncertain factors including non renewable energy cost carbon price renewable energy cost and price subsidy are all considered in this model the model has been applied to evaluate the solar photovoltaic pv power generation in china our empirical results show that real option analysis roa is more effective than net present value analysis npv when handling uncertainty under current level of subsidy the government would suffer loss and the investors could benefit so that it is difficult to achieve the balance of interest during the planning period with the reduction of subsidy rate they can achieve the balance of interest

measuring the cost of time in recreation demand analysis reply we appreciate the comments of johnson and ward on our note measuring the value of time we would like to emphasize that the purpose of our note was to offer an empirical approach to measuring value of time which permitted the value to vary across individuals but which inferred this variation from individuals in the sample we realize that empirical approaches to measuring the value of time are currently evolving the comments by johnson and ward help elucidate some basic issues in valuing time we respond first to johnson and then to ward

the clean development mechanism stochastic permit prices and energy investments abstract we analyze the impact on energy investments stemming from different emission permit classes by considering permits that are allocated inside the european emission trading scheme and secondary certified emission reduction scer permits originating from the clean development mechanism one price taking firm which is subject to emission regulation has the choice to invest in gas or wind power plant the firm faces uncertainty regarding stochastically evolving permit prices while it receives a premium on the electricity price for wind energy as a first step we determine the value of the option to invest into a gas power plant over time then we calculate the investment probability of a gas power investment in a range of policy scenarios we find that allowing the usage of scer permits in the present policy framework has a positive impact on gas power investment decoupling the price processes has a similar effect if the quota of scer permits is doubled the decrease in the investment probability for wind power is large we carry out sensitivity tests for different parameter values and find that investment behavior changes significantly with differing interest rates the wind energy premium and volatility

a real options model for renewable energy investment with application to solar photovoltaic power generation in china this paper proposes a real options model for evaluating renewable energy investment by considering uncertain factors such as co2 price non renewable energy cost investment cost and market price of electricity a phase out mechanism is built into the model to reflect the long term changes of subsidy policy we apply the proposed model to empirically evaluate the investment value and optimal timing for solar photovoltaic power generation in china our empirical results show that the current investment environment in china may not be able to attract immediate investment while the development of carbon market helps advance the optimal investment time a sensitivity analysis is conducted to investigate the dynamics of investment value and optimal timing under the changes of unit generating capacity subsidy level market price of electricity co2 price and investment cost it is found that the high investment cost and the volatility of electricity and co2 prices are not conducive to attract immediate investment instead increasing the level of subsidy promoting technological progress and maintaining the stability of market are useful to stimulate investment

valuing time in travel cost demand analysis an empirical investigation the opportunity cost of time is usu ally a significant part of the price variable in the travel cost demand model thus its accurate mea surement is important to the estimation of demand and benefit valuation for nonmarket resources this paper empirically tests models which assume that income is the basis for opportunity time cost with an alternative pooled model based on a disequi librium labor market for some recreationists ac ceptance of the hypothesis that disequilibrium mod els may be necessary for some individuals implies increased survey information requirements so that the appropriate model can be applied to each indi vidual jel q21

omitted cross price variable biases in the linear travel cost model correcting common misperceptions the essence of the travel cost method is that the combination of the number of visits to a site and the round trip travel costs for each recreationist traces out a demand relationship since the geographic location of the recreationist s residence exerts a kind of experimental control which forces the more distant consumer to bear higher travel and related costs these travel costs are used as proxies for prices in estimating demand for the site s services clawson 1959 has presented the two step method for valuing a single site s services however it has been pointed out in the literature that single and isolated recreation sites very rarely exist and the failure to include prices for alternative sites in the demand equation leads to biased estimates for the value of the resource under consideration the literature contains some misconceptions about the direction of the bias consider quotations from two frequently cited studies

spring cleaning rural water impacts valuation and property rights institutions the brief summarizes the spring cleaning rural water impacts valuation and property rights institutions the first two rounds of spring protection occurred in january april 2005 and august november 2005 the author measure health impacts of spring protection an investment that improves source water quality the author also estimate households valuation of spring protection and simulate the welfare impacts of alternatives to the current system of common property rights in water which limits incentives for private investment spring infrastructure investments reduce fecal contamination by 66 percent but household water quality improves less due to recontamination child diarrhea falls by one quarter travel cost based revealed preference estimates of households valuations are much smaller than both stated preference valuations and health planners valuations and are consistent with models in which the demand for health is highly income elastic the author estimate that private property norms would generate little additional investment while imposing large static costs due to above marginal cost pricing private property will function better at higher income levels or underwater scarcity and alternative institutions could yield pareto improvements

ecology driven real options an investment framework for incorporating uncertainties in the context of the natural environment the role of uncertainty within an organization s environment features prominently in the business ethics and management literature but how corporate investment decisions should proceed in the face of uncertainties relating to the natural environment is less discussed from the perspective of ecological economics the salience of ecology induced issues challenges management to address new types of uncertainties these pertain to constraints within the natural environment as well as to institutional action aimed at conserving the natural environment we derive six areas of ecology induced uncertainties and propose ecology driven real options as a conceptual approach for systematically incorporating these uncertainties into strategic management we combine our results in an integrative investment framework and illustrate its application with the case of carbon constraints

willingness to pay for snowmobile recreation travel cost method models with and without post season resurvey of trip count annual willingness to pay wtp for snowmobile recreation in idaho is estimated using the travel cost method tcm on site snow conditions are important and erratic thus we collect two measures o

the opportunity cost of travel time as a noisy wage fraction few issues are more important to welfare estimation with recreation demand models than the specification of the opportunity cost of travel time the two most common approaches to specifying this cost treat it as a fixed fraction of the recreationist s wage and either estimate the fraction done infrequently or assume it takes some value done commonly with references to results from the commute time literature used to justify the latter however these approaches lack firm conceptual rationales and the consequences of using them are not fully understood recognizing that information limitations often preclude more general approaches we use a joint recreation travel labor supply model to show that under relatively modest assumptions the opportunity cost of travel time can be expressed as a wage fraction with noise this formulation is straightforward to implement as part of random parameters based recreation demand models we then evaluate the welfare consequences of using the two approaches noted above which are special cases of the noisy wage fraction specification our results suggest that the more critical restriction to relax in opportunity cost of travel time specifications is the absence of noise rather than the specific level of the wage fraction

two moment decision models and expected utility maximization two moment decision models are consistent with expected utility maximization only if the choice set or the agent s preferences are restricted this paper identifies a restriction which is sufficient to ensure this consistency and confirms that it holds in many economic models the implications for economic analysis are then derived two different approaches to representing an agent s preferences over strategies yielding random payoffs are in wide use under the mean standard deviation ms approach the agent is assumed to rank the alternatives according to the value of some function defined over the first two moments of the random payoff while the expected utility eu criterion assumes that the expected value of some utility function defined over payoffs is used instead the fact that there are these two competing approaches has generated a considerable literature some authors are concerned with the advantages and disadvantages of each while others deal with conditions under which the potentially different approaches would yield the same results or at least approximately so space does not

optimal design of subsidy to stimulate renewable energy investments the case of china this paper proposes a real options model for estimating the optimal subsidy for renewable energy power generation project by using stochastic process to describe the market price of electricity co2 price and investment cost two indicators i e project value and threshold value are used to derive the optimal subsidy the least squares monte carlo simulation method is used to solve the model the proposed model is used to empirically evaluate the optimal level of subsidy for solar photovoltaic power generation in china the results show that carbon emission trading scheme helps reduce subsidy unit generating capacity market price of electricity co2 price and the volatility of investment cost are negatively related with subsidy whereas investment cost and the volatility of electricity price and co2 price are positively related with subsidy it is suggested that chinese governments take some measures e g promoting technological progress establishing a nationwide carbon emission trading market promoting the competition in renewable energy industry as well as maintaining the stability of co2 price and electricity price to reduce the required subsidy

delaying the introduction of emissions trading systems implications for power plant investment and operation from a multi stage decision model relying on real options theory we employ a multistage decision model to analyze the effect of delaying the introduction of emission trading systems ets on power plant investments in carbon capture and storage ccs retrofits on plant operation and on carbon dioxide co2 abatement unlike previous studies we assume that the investment decision is made before the ets is in place and we allow ccs operating flexibility for new power plant investments thus the plant may be run in ccs off mode if carbon prices are low we employ monte carlo simulation methods to account for uncertainties in the prices of co2 certificates other inputs and output prices relying on a realistic parameterization for a supercritical pulverized coal plant in china we find that ccs operating flexibility lowers the critical carbon price needed to support ccs investment because it renders ccs investment less irreversible for a low carbon price path operating flexibility also implies that delaying the introduction of an ets hardly affects plant co2 abatement since the plant operator is better off purchasing emission certificates rather than operating the plant in ccs mode interestingly for low carbon prices we find a u shaped relation between the length of the delay and the economic value of the plant thus delaying the introduction of an ets may make investors worse off

specification of driving costs in models of recreation demand existing recreation demand models have paid much attention to the heterogeneous nature of the opportunity cost of time but generally stipulate constant per mile costs in access price specifications this study proposes two alternative approaches to introduce user specific driving costs into recreation demand models the first approach is based on a refined measurement of driving costs based on engineering considerations the second strategy estimates perceived per mile cost as a function of vehicle attributes in an empirical framework we find strong evidence that driving costs are a visitor specific concept and that prescribed and perceived costs differ substantially however welfare measures generated by these alternative specifications are not statistically different from those produced by the standard model in our application of jet skiing in the lake tahoe region

influences from the european parliament on eu emissions prices abstract the decisions of the european parliament ep are shown to influence both eu emission allowance eua prices and volatility reductions in price and increases in volatility are observed when ep decisions are i not party political in origin ii made during times of low market sentiment or iii made during times of low market attention daily eua prices from 2007 to 2014 are used in the study with decisions analysed using an event study approach for price impact and a garch specification for volatility impact our findings suggest the need for policymakers to improve communication of long term strategies for the eua market this aims to reduce the evident ongoing uncertainty experienced by traders around each decision made by the ep the finding that sentiment and market attention at the time of an ep decision influences the market s reaction indicates a need to consider market dynamics in terms of decision timing so that market turbulence is not an unintended by product of an ep decision some form of medium term forward guidance may be called for

wind farm investment risks under uncertain cdm benefit in china abstract china has set an ambitious target to increase its wind power capacity by 35 gw from 2007 to 2020 the country s hunger for clean power provides great opportunities for wind energy investors however risks from china s uncertain electricity market regulation and an uncertain energy policy framework mainly due to uncertain clean development mechanism cdm benefits prevent foreign investors from investing in china s wind energy the objectives of this paper are to 1 quantify wind energy investment risk premiums in an uncertain international energy policy context and 2 evaluate the impact of uncertain cdm benefits on the net present values of wind power projects with four scenarios this study simulates possible prices of certified emissions reductions cers from wind power projects project net present values npvs have been calculated the project risk premiums are drawn from different and uncertain cer prices our key findings show that uncertain cdm benefits will significantly affect the project npvs this paper concludes that the chinese government needs revising its tariff incentives most likely by introducing fixed feed in tariffs fits and re examining its cdm granting policy and its wind project tax rates to facilitate wind power development and enable china to achieve its wind energy target

portfolio applications in electricity markets review private investor and manager perspective trends abstract the private sector plays a major role in the expansion and operation of power systems in most countries especially those running liberalized electricity markets policymakers have the task of inducing private agents through their regulatory designs to make decisions that point toward social welfare maximization conversely it is a task of private agents to protect themselves against the risks of the sector including regulatory risks international fuel price uncertainty climate change policies natural resource availability electricity demand uncertainty co2 clearance prices etc instead of hiding all of these risks within the total project costs and losing competitiveness private agents can use diversification as a strategy to deal with them this paper presents a review of the main applications voids and challenges of portfolio optimization for two key agents of the private sector investors and managers the problem of the investor is to design a technology portfolio to invest in that maximizes its expected returns and limits risks while the manager has to design a portfolio of financial physical instruments long term contracts futures etc to sell buy electricity and hedge against price risks we have found two fundamental issues in the literature the first and most important is excessive confidence in historical data and statistical analysis for predicting future price behavior for a changing future in detriment of more structural analysis structural analysis can include particularities of modern power systems such as future transmission changes congestion operational constraints ramps new entrants new technologies and new demand grow patterns that cannot be taken into account by simply analyzing price historical values the second is the omission of renewable complementarities which is a proven characteristic of dispersed renewable plants that may have important risk mitigation effects although it has largely been ignored in portfolio analysis due to insufficient data modeling limitations and computational complexity

close encounters of two kinds false alarms and dashed hopes people are frequently exposed to potentially attractive events that are subsequently and unexpectedly reversed and to potentially painful events which are also unexpectedly reversed in the process of being returned to the initial asset position does the sequence in which the positive and negative events occur matter this issue of the combined effect of pleasurable and painful stimuli has received scant theoretical or empirical attention we attempt to fill this lacuna in the literature by studying the retrospective evaluation of surprises that return individuals to their original economic state although such surprises do not change an individual s original economic state we argue that the individual s psychological state changes and the final affective state is among other things a function of the sequence in which the events occur from a theoretical standpoint several perspectives can be brought to bear on the issue for instance one reading of mental accounting based on prospect theory s value function would predict that losses should dominate gains and therefore regardless of sequence people should be unhappy when exposed to two economically equivalent outcomes of different signs conversely the literature on intertemporal choice would suggest that a series that ends on an up note is preferred to a series that ends on a down note because people like to defer gratification so that they may savor positive outcomes similarly people apparently have a preference for happy endings finally the extant literature on recency effects would predict that the last event in a series should have a disproportionate influence on overall affect our model relies on a shift in the reference point to explain how a surprising reversal of an event will lead to a nonzero evaluation of the sequence we suggest that people s reference points shift immediately but imperfectly after a stimulus is presented intuitively this implies that the first stimulus will shift the reference point in its direction as a result of which the evaluation of a sequence of events in which an initial event is unexpectedly reversed will be more favorable if the first event is a loss than if it is a gain this model captures the unanticipated nature of the second event i e the surprise element by allowing the first event to move the reference point consequently by the time the next event occurs the reference point has been updated as a result of which the zero economic outcome of the sequence yields nonzero utility we further posit that the magnitude of the reference point shift should be affected by the time elapsed between the two stimuli specifically the reference point shifts gradually with time until it is fully updated consequently the final affective state of the sequence is also a function of the temporal distance between the two events the main predictions of the model were empirically supported first in a survey using a mall intercept sample subsequently we conducted a study of student subjects involving a coin tossing game in which real money was at stake and in which subjects in one condition experienced the second outcome after a two day delay our results from this second study supported the model s prediction regarding the impact of the elapsed time between the events the experimental tasks involved surprising reversals of initial outcomes thus ensuring that savoring dread types of explanations which require that subjects anticipate the second event could not be operating finally in a series of three follow up studies we tested the claim that the magnitude of outcomes would have an impact on observed affect and consistent with our theory and contrary to recency predictions we observed similar results across different magnitudes while theoretically interesting we should also note that our research is of potential pragmatic significance people s reactions to a series of events is of considerable interest to marketers desirous of generating enhanced attitude affect purchase intention and the like without offering economic inducements such as rebates coupons or other costly discounts additionally public policy officials may be interested in protecting people from being manipulated into purchasing a product simply because of changes in the sequence in which a series of offers is made by the merchant

study on carbon capture and storage ccs investment decision making based on real options for china s coal fired power plants in this paper a quadrinomial model based on the theory of real options is developed to evaluate the investment in carbon capture and storage ccs retrofitting for existing coal fired power plants in china uncertainties in carbon price fossil fuel price investment cost and government subsidy are considered an existing typical 600 mw supercritical pulverized coal fired scpc plant is taken as a case study to illustrate the proposed model and the effects of government subsidy under different scenarios on the critical carbon price to invest in ccs are analyzed the results indicate that the real options approach has an advantage over the application of traditional net present value npv method when handling uncertainty and government subsidy has significant effects on reducing critical carbon price for investment in ccs the critical carbon prices are 103 56 rmb ton with 100 subsidy and 217 95 rmb ton without subsidy while the current average carbon price is 85 2 rmb ton this means that the current trading environment is not positive enough to attract investment in ccs retrofitting these conclusions provide theoretical foundation for decision making of ccs investment and related policy making

bang for the buck gain loss ratio as a driver of judgment and choice prominent decision making theories propose that individuals should evaluate alternatives by combining gains and losses in an additive way instead we suggest that individuals seek to maximize the rate of exchange between positive and negative outcomes and thus combine gains and losses in a multiplicative way sensitivity to gain loss ratio provides an alternative account for several existing findings and implies a number of novel predictions it implies greater sensitivity to losses and risk aversion when expected value is positive but greater sensitivity to gains and risk seeking when expected value is negative it also implies more extreme preferences when expected value is positive than when expected value is negative these predictions are independent of decreasing marginal sensitivity loss aversion and probability weighting three key properties of prospect theory five new experiments and reanalyses of two recently published studies support these predictions this paper was accepted by yuval ro

switching outputs in a bioenergy cogeneration project a real options approach abstract environmental concerns have stimulated the search for economically feasible renewable energy projects one such alternative is the use of biomass for energy generation which has increasingly been the focus of interest traditional valuation methods on the other hand fail to capture the value of the embedded options that exist in many of these projects which may lead to non optimal investment decisions in this article we analyze the feasibility of installing a cogeneration unit in an industrial plant in brazil in order to extract value from biomass residue currently discarded which can be used for thermal and electric energy generation the cogeneration unit also allows the firm the flexibility to optimally choose between an increase in production or the generation of surplus energy for sale in the short term market once additional investment in interconnection to the grid is made we model the uncertainty over future energy prices as a mean reverting process with jumps and seasonality and the embedded flexibility as a bundle of european options under the real options approach the results indicate that the investment in the cogeneration plant is warranted and that the option to switch outputs adds significant value to the project which suggests that biomass residue may be a sustainable energy alternative in this case

the effect of long term expansion on the evolution of electricity price numerical analysis of a theoretically optimised electricity market abstract a decision support tool is proposed for optimising the expansion planning of a semi liberalised electricity market whilst the underlying interaction of the generating mix with electricity prices is researched in the long run a nonlinear stochastic programming algorithm is used for handling multiple uncertainties optimising the power sector characteristics both in terms of financial and environmental performance two endogenous models and an exogenous one are analysed and compared the endogenous model results indicate that consumers might benefit by the moderate electricity prices in case the optimal loads and capacity orders are rendered the exogenous model is insensitive to generating mix variations the long term actions suggested for system operators are comprised of the permits issued for new entries they are affected by the evolution of electricity prices since the permits granted for conventional technologies are maintained when their profits are rising the permits granted for renewable technologies are also maintained thus allowing cleaner electricity production to be induced to the grid the optimal bid strategies of generators interact with their dispatching schedule and the diversification of their load curves the relevant bids are primarily driven by the merit order the plants are dispatched in the assigned load levels may be raised in profitable producers so that their profit is maximised they might be restrained instead in case there are no significant prospects for individual profits the lognormal distribution of electricity price results is characterised by increasing variance over time indicating that the model is more robust in the most imminent solutions

time and the recreational demand model in this paper a theoretically consistent approach to including time costs in recreational demand models is developed the demand model is conditional on the recreationist s labor market situation for individuals at corner solutions in the labor market utility maximization is subject to two constraints leading to a demand function with travel costs and travel time as independent variables with interior solutions in the labor market time is valued at the wage rate and combined with travel costs to produce one full cost variable in an illustration welfare measures based on the new model are estimated for a sample of sportfishermen

renewable energy investments under different support schemes a real options approach abstract this paper adopts a real options approach to analyze investment timing and capacity choice for renewable energy projects under different support schemes the main purpose is to examine investment behavior under the most extensively employed support schemes namely feed in tariffs and renewable energy certificate trading we consider both multiple sources of uncertainty under each support scheme and uncertainty with respect to any change of support scheme and we obtain both analytical when possible and numerical solutions in a nordic case study based on wind power we find that the feed in tariff encourages earlier investment nevertheless as investment has been undertaken renewable energy certificate trading creates incentives for larger projects in our baseline scenario and taking the fixed feed in tariff as a base the revenue required to trigger investments is 61 higher with renewable certificates at the same time investment capacity is 61 higher

searching for the opportunity cost of an individual s time a traditional assumption made in the literature is that the value of an individual s time spent in any activity is equal to his or her wage rate this result stems from the derivation of the value of leisure time in the context of the standard labor supply model this paper pre sents some reasons why the relationship be tween the wage rate and the value of time does not hold suggestions for what to do when the relationship breaks down and the investigator needs some value to impute to the individual are given in the final section of the paper

european co2 prices and carbon capture investments we assess the option to install a carbon capture and storage ccs unit in a coal fired power plant operating in a carbon constrained environment we consider two sources of risk namely the price of emission allowance and the price of the electricity output first we analyse the performance of the eu market for co2 emission allowances specifically we focus on the contracts maturing in the kyoto protocol s first commitment period 2008 to 2012 and calibrate the underlying parameters of the allowance price process then we refer to the spanish wholesale electricity market and calibrate the parameters of the electricity price process we use a two dimensional binomial lattice to derive the optimal investment rule in particular we obtain the trigger allowance prices above which it is optimal to install the capture unit immediately we further analyse the effect of changes in several variables on these critical prices among them allowance price volatility and a hypothetical government subsidy we conclude that at current permit prices immediate installation does not seem justified from a financial point of view this need not be the case though if carbon market parameters change dramatically carbon capture technology undergoes significant improvements and or a specific governmental policy to promote these units is adopted

an extension of omitted cross price variable biases in the linear travel cost model correcting common misperceptions caulkins bishop and bouwes cbb 1985 raise an important issue concerning the conventional presumption of positive bias in consumer surplus when alternative sites are ignored in the travel cost method treatment of site value dwyer kelly and bowes 1977 they analyze a significant geographic dispersion phenomenon which can cause either negative or positive bias in travel cost model tcm estimates of site value when travel costs to alternative sites are omitted however the derivation of specification bias in the tcm which they provide is incomplete and could lead to generalizations which are erroneous cbb use the well known specification bias analysis to discuss the possible effects of ignoring alternative recreation sites in the tcm demand analysis given the estimated linear regression equation

investment in new power generation under uncertainty benefits of chp vs condensing plants in a copula based analysis abstract in this paper we apply a spread based real options approach to analyze the decision making problem of an investor who has the choice between an irreversible investment in a condensing power plant without heat utilization and a plant with combined heat and power chp generation our investigation focuses on large scale fossil fueled generation technologies and is based on a stochastic model that uses copula functions to provide the input parameters of the real options model we define the aggregated annual spread as assessment criteria for our investigation since it contains all relevant volatile input parameters that have an impact on the evaluation of investment decisions we show that the specific characteristics of chp plants such as additional revenues from heat sales promotion schemes specific operational features and a beneficial allocation of co 2 allowances have a significant impact on the option value and therefore on the optimal timing for investment for the two fossil fueled chp technologies investigated combined cycle gas turbine and steam turbine we conclude from our analysis that a high share of chp generation reduces the risk exposure for the investor the maximal possible chp generation depends significantly on the local heat demand in the surroundings of the power plant considering this the size of the heat sink available could gain more relevance in the future selection process of sites for new large scale fossil power plants

valuing investment decisions of renewable energy projects considering changing volatility abstract volatility is an important parameter when evaluating investments using the real options method for renewable energy investments the volatility of cash flow continuously changes because as new information and knowledge are gathered there is less foreseen variation this paper proposes an extended recombining trinomial tree model where the changing volatility is used to generate transition probabilities the changing volatility is generated using a consolidation process where multiple random variables including the market price of electricity carbon price and lending rate are integrated into a low dimension stochastic process a two factor learning curve is used to model the changes of investment cost we apply the proposed model to analyze solar photovoltaic pv power generation investment in china the results show volatility with changing feature compared with constant volatility changing volatility may advance investment decisions and change the project value complete grid parity policy in the solar pv industry is infeasible because the opportunity cost brought by the option of delaying cannot be offset the changing volatility may produce a lower and equally effective subsidy level compared with constant volatility a carbon emission trading scheme is helpful in advancing investments in renewable energy which is reflected in improvements in project value advancements in investment decisions and reductions in the required subsidy level

counterfactual comparisons of investment options for wind power and agricultural production in the united states lessons from northern ohio abstract we analyze potential efficiency gains in wind power projects by comparing counterfactual investment decisions in two different scenarios under a real options framework the first scenario is a standard wind power investment where the investor rents the land from local farms in the second scenario the wind power investor buys the land and commercializes both electricity and crop production thus reducing the revenue risk through the diversification both scenarios have a waiting option with the wholesale prices leading the installation decision we model the electricity price as a mean reverting process with jumps and with different jumping probabilities for the different seasons of the year corn prices follow a mean reverting process the waiting flexibility was modeled as a bundle of european options the results indicate that the waiting option is exercised in 100 of our simulations in both scenarios suggesting the still important role of government policies to stimulate wind power more importantly in more than 90 of the simulations the second scenario brought value to the investment furthermore net present values are more sensitive to reductions in capital costs than electricity prices these results can form the basis for more effective policies for the wind power sector

the red and the black mental accounting of savings and debt in the standard economic account of consumer behavior the cost of a purchase takes the form of a reduction in future utility when expenditures that otherwise could have been made are forgone the reality of consumer hedonics is different when people make purchases they often experience an immediate pain of paying which can undermine the pleasure derived from consumption the ticking of the taxi meter for example reduces one s pleasure from the ride we propose a double entry mental accounting theory that describes the nature of these reciprocal interactions between the pleasure of consumption and the pain of paying and draws out their implications for consumer behavior and hedonics a central assumption of the model which we call prospective accounting is that consumption that has already been paid for can be enjoyed as if it were free and that the pain associated with payments made prior to consumption but not after is buffered by thoughts of the benefits that the payments will finance another important concept is coupling which refers to the degree to which consumption calls to mind thoughts of payment and vice versa some financing methods such as credit cards tend to weaken coupling whereas others such as cash payment produce tight coupling our model makes a variety of predictions that are at variance with economic formulations contrary to the standard prediction that people will finance purchases to minimize the present value of payments our model predicts strong debt aversion that they should prefer to prepay for consumption or to get paid for work after it is performed such pay before sequences confer hedonic benefits because consumption can be enjoyed without thinking about the need to pay for it in the future likewise when paying beforehand the pain of paying is mitigated by thoughts of future consumption benefits contrary to the economic prediction that consumers should prefer to pay at the margin for what they consume our model predicts that consumers will find it less painful to pay for and hence will prefer flat rate pricing schemes such as unlimited internet access at a fixed monthly price even if it involves paying more for the same usage other predictions concern spending patterns with cash charge or credit cards and preferences for the earmarking of purchases we test these predictions in a series of surveys and in a conjoint like analysis that pitted our double entry mental accounting model against a standard discounting formulation and another benchmark that did not incorporate hedonic interactions between consumption and payments our model provides a better fit of the data for 60 of the subjects the discounting formulation provides a better fit for only 29 of the subjects even when allowing for positive and negative discount rates the pain of paying we argue plays an important role in consumer self regulation but is hedonically costly from a hedonic perspective the ideal situation is one in which payments are tightly coupled to consumption so that paying evokes thoughts about the benefits being financed but consumption is decoupled from payments so that consumption does not evoke thoughts about payment from an efficiency perspective however it is important for consumers to be aware of what they are paying for consumption this creates a tension between hedonic efficiency and what we call decision efficiency various institutional arrangements such as financing of public parks through taxes or usage fees play into this tradeoff a producer developing a pricing structure for their product or service should be aware of these two conflicting objectives and should try to devise a structure that reconciles them

green investment under time dependent subsidy retraction risk abstract driven by ambitious targets to reduce greenhouse gas emissions many countries have introduced support schemes to accelerate investments in renewable energy however in recent years experience showed that over time retraction of support schemes becomes more likely this has a severe effect on investment behaviour in this paper we study the effect of a potential subsidy retraction of a feed in tariff fit on investment in renewable energy capacity where we explicitly account for the fact that the likelihood of policy retraction may change over time we show that the range of fits for which it is optimal to invest immediately decreases the longer a subsidy has been in place if the fit offered is too small and or the subsidy has been installed too long ago it is optimal for the firm to wait with investment until the subsidy is eventually retracted and free market conditions prove to be profitable enough furthermore we show that whether a policy maker aiming at accelerating investment prefers investors to consider retraction risk to be time dependent or not depends on how much time has passed since the subsidy has been introduced at the moment the investor considers investment for the first time

how china s current carbon trading policy affects carbon price an investigation of the shanghai emission trading scheme pilot abstract to better establish a unified carbon market in china this study evaluates the effect of current carbon trading policy and further investigates the relationship between such policy that is published during the second phase of shanghai environment and energy exchange seee and shanghai emission allowance shea price we aim to analyze whether these policies can improve the operation efficiency of current carbon market by the mean reversion test cox ingersoll ross cir model and event study method we first analyze the potential price discovery function of shea products thereby describing the transmission channel of current policy to shea price then we examine the effect of carbon policies published in different periods on their corresponding shea price by the auto correlation test and cir simulation we find that 3 4 of all auto correlation values are less than 0 after apr 2017 and the minimum cumulative error is 31 3792 under the supply and demand channel these findings imply that shea price has the discovery function at the middle and end of trading period and the current policy affects shea price through its effect on the fundamentals of supply and demand further more than 60 of all r values r value that reflects the response of price to policy are less than 1 which implies that the published policy will improves future shea price accordingly we argue that seee belongs to a policy oriented market and the change of carbon price is closely related to emission allocation policies in this case china s government should further push forward the smooth operation of current carbon market by the aid of incentive policy in the coming period

robust incentives and the design of a climate change governance regime in building a governance regime to address climate change should we prioritize the development of global institutions or national ones this paper focuses on two neglected characteristics to inform the governance problem the incentives for investment in low carbon energy technology and the influence of historical policy volatility examining a case study of an important low carbon energy technology wind power this study finds 1 policy volatility has been substantial 2 policy changes were uncorrelated across jurisdictions suggesting that 3 investors could have substantially reduced their exposure to the risk of policy volatility by operating globally while it also has downsides a poorly coordinated international policy regime has the advantage of reducing the risk associated with a global policy failure beyond this case study the importance of this positive effect depends on the probability of policy failures in each country the correlations among them and the probability of a global policy failure

chinese companies awareness and perceptions of the emissions trading scheme ets evidence from a national survey in china abstract china announced the launch of a national emissions trading scheme ets in 2017 however companies appear show little enthusiasm for participation in the ets in china this paper identifies the factors affecting companies awareness and perceptions of ets by conducting a national survey based on an online questionnaire from may to november 2015 in seven carbon trading pilots the results indicate that companies attitudes towards the ets are positively influenced by government regulations and policy public relations management and estimated economic benefit of these public relations management is the decisive factor and estimated economic benefit is confirmed to be a relatively weak predictor a company s environmental and energy strategy exerts insignificant effects on its preference for the ets although the sampled companies are very willing to save energy and reduce emissions there exists an inverted u shape relationship between a company s level of mitigation technologies and its attitudes towards the ets the carbon price fails to stimulate companies to upgrade mitigation technologies the majority of companies treat participation in the ets only as a means of improving ties with governments as well as of earning a good social reputation rather than as a cost effective mechanism to mitigate greenhouse gas emissions

investment under uncertain climate policy a practitioners perspective on carbon risk this paper introduces the concept of payment probability as an important component of carbon risk the financial risk associated with co2 emissions under uncertain climate policy in modeling power plant investment decisions most existing literature uses the expected carbon price e g the price of traded permits or carbon tax as a proxy for carbon risk in contrast this paper identifies expected carbon payment as a more accurate measure of carbon risk as perceived by industry practitioners this measure of carbon risk incorporates both expected price and the probability that this price would actually be faced in the case of a particular investment this concept helps explain both the surge of activity in 2005 2006 and the subsequent decline in interest in coal fired power plant development in the u s the data for this case study comes from an extensive online survey of 700 u s energy professionals completed in 2006 as well as interviews conducted with industry representatives from 2007 to 2009 by analyzing industry views on policy uncertainty and future carbon legislation we gain a better understanding of investor attitudes toward carbon risk this understanding will help policy makers design better incentives for investing in low carbon technologies

policy interactions risk and price formation in carbon markets carbon pricing is an important mechanism for providing companies with incentives to invest in carbon abatement price formation in carbon markets involves a complex interplay between policy targets dynamic technology costs and market rules carbon pricing may under deliver investment due to r d externalities requiring additional policies which themselves affect market prices also abatement costs depend on the extent of technology deployment due to learning by doing this paper introduces an analytical framework based on marginal abatement cost mac curves with the aim of providing an intuitive understanding of the key dynamics and risk factors in carbon markets the framework extends the usual static mac representation of the market to incorporate policy interactions and some technology cost dynamics the analysis indicates that supporting large scale deployment of mature abatement technologies suppresses the marginal cost of abatement sometimes to zero whilst increasing total abatement costs however support for early stage r d may reduce both total abatement cost and carbon price risk an important aspect of the analysis is in elevating risk management considerations into energy policy formation as the results of the stochastic modelling indicate wide distributions for the emergence of carbon prices and public costs around the policy expectations

evaluating the power investment options with uncertainty in climate policy abstract this paper uses a real options approach roa for analysing the effects of government climate policy uncertainty on private investors decision making in the power sector it presents an analysis undertaken by the international energy agency iea that implements roa within a dynamic programming approach for technology investment choice case studies for gas coal and nuclear power investment are undertaken with the model illustrative results from the model indicate four broad conclusions i climate change policy risks can become large if there is only a short time between a future climate policy event such as post 2012 and the time when the investment decision is being made ii the way in which co 2 and fuel price variations feed through to electricity price variations is an important determinant of the overall investment risk that companies will face iii investment risks vary according to the technology being considered with nuclear power appearing to be particularly exposed to fuel and co 2 price risks under various assumptions and iv the government will be able to reduce investors risks by implementing long term say 10 years rather than short term say 5 years climate change policy frameworks contributions of this study include 1 having created a step function with stochastic volume of jump at a particular time to simulate carbon price shock under a particular climate policy event 2 quantifying the implicit risk premium of carbon price uncertainty to investors in new capacity 3 evaluating carbon price risk alongside energy price risk in investment decision making and 4 demonstrating roa to be a useful tool to quantify the impacts of climate change policy uncertainty on power investment

measuring the cost of time in recreation demand analysis an application to sportfishing since the work of cesario and knetsch economists have recognized that the opportunity cost of time plays an important role in determining the demand for outdoor recreation the opportunities one has for spare time are more significant for consumption of time intensive outdoor recreation activities than for other commodities especially nondurables bishop and heberlein illustrate the overwhelming importance of time costs to final recreational values total consumer surplus is nearly four times as large when time costs are added at half the income rate as when time costs were set at zero p 21 despite the recognition economists have neither successfully integrated the costs of time with the methods of recreational demand analysis nor reached a consensus on how it should be measured brown charbonneau and hay state finally the apparently crucial importance of how opportunity cost of time is handled needs further work while we are convinced it is an appropriate concept exactly how it should be included and measured s remains to be determined p 24 several approaches have been taken to include it in the travel cost method one approach brown and nawas gum and martin suggests that time in transit be considered as a separate independent variable another approach bishop and heberlein brown charbonneau hay nicols bowes dwyer cesario and knetsch measures the cost of time and adds it to other costs several approaches have been suggested to measure time costs one approach is simply to choose an hourly wage e g 2 00 per hour or perhaps the minimum wage rate a more flexible but still ad hoc approach is to use some proportion of the individual s wage rate as the opportunity cost of time nichols bowes dwyer the proportion is usually taken from independent studies and used to value the travel time this approach is better than using a constant opportunity cost of time because it allows variation across individuals it suffers because the choice of the percentage of the wage rate is arbitrary independent of the sampled population cesario has discussed the consequences of ignoring time costs and the differences in values arising from alternative measurement approaches in this paper we argue that the opportunity cost of time is some proportion of the individual s market wage rate or income per hour and that this proportion can be determined from sample data this method permits the proportion to vary from one study to another rather than imposing either an arbitrary estimate or one from a sample different from the study s sample

payment depreciation the behavioral effects of temporally separating payments from consumption research suggests that individuals mentally track the costs and benefits of a consumer transaction for the purpose of reconciling those costs and benefits on completion of the transaction prelec and loewenstein 1998 thaler 1980 1985 in transactions where costs precede benefits this can lead to a systematic and economically irrational attention to sunk costs arkes and blumer 1985 thaler 1980 in this article we consider economic exchanges in which costs significantly precede benefits as with many prepayment types of consumer transactions we predict a consumer will gradually adapt to a historic cost with the passage of time thereby decreasing its sunk cost impact on the consumption of a pending benefit we label this process of gradual adaptation to costs payment depreciation in a series of experiments we find evidence of payment depreciation across a range of consumer transactions and offer insight into the behavioral implications of temporally separating costs from benefits

when two plus two is not equal to four errors in processing multiple percentage changes when evaluating the net impact of a series of percentage changes we predict that consumers may employ a whole number computational strategy that yields a systematic error in their calculation we report on three studies conducted to examine this issue in the first study we identify the computational error and demonstrate its consequences in a second study we identify several theoretically driven boundary conditions for the observed phenomenon finally we demonstrate in a real world retail setting that consistent with our premise sequential percentage discounts generate more purchasers sales revenue and profit than the economically equivalent single percentage discount

optimal design of feed in tariffs to stimulate renewable energy investments under regulatory uncertainty a real options analysis feed in tariffs fits are widely used as policy instruments to promote investments in renewable energy sources res while fits are often regarded as the most effective res support scheme regulators around the world continuously review their fit schemes in the light of budget constraints and evolving policy goals we assess the impact of adjustments to fit schemes by quantifying the relationship between fit levels i e the guaranteed amount paid per quantity of electricity produced and the propensity to invest in res through a regime switching model we quantify the impact of regulatory uncertainty induced by regulators considering moves from a fit scheme to a more market oriented regulatory regime our focus is on market independent fixed fits the dominant scheme in europe receiving increasing attention globally we find that res investment projects under market independent fixed fit schemes become now or never decisions and derive fit thresholds required to induce investment we show that uncertainty regarding future regulatory regimes delays or even reduces investment activity for fit levels near electricity market prices and high probabilities of an imminent regime switch

a theoretical foundation for count data models the paper develops a theoretical foundation for using count data models in travel cost analysis two micro models are developed a restricted choice model and a repeated discrete choice model we show that both models lead to identical welfare measures

misunderstanding savings growth implications for retirement savings behavior abstract people systematically underestimate exponential growth this article illustrates this phenomenon its implications and some potential interventions in the context of saving for retirement where savings grow exponentially over long periods of time experiment 1 shows that a majority of participants expect savings over 40 years to grow linearly rather than exponentially leading them to grossly underestimate their account balance at retirement experiment 2 demonstrates that this misunderstanding leads to underestimates of the cost of waiting to save which makes putting off saving more attractive than it should be finally experiments 3 5 show that highlighting the exponential growth of savings motivates both college students and employees to save more for retirement making clear to employees the exponential growth of savings before they make crucial decisions about how much to save may be a simple and effective means of increasing retirement savings

optimal feed in tariff for solar photovoltaic power generation in china a real options analysis abstract the feed in tariff policy is widely used to promote the development of renewable energy china also adopts feed in tariff policy to attract greater investment in solar photovoltaic power generation this study employs real options method to assess the optimal levels of feed in tariffs in 30 provinces of china the uncertainties in co 2 price and investment cost are considered a method that integrates the backward dynamic programming algorithm and least squares monte carlo method is used to solve the model the results demonstrate that the feed in tariffs of 30 provinces range from 0 68 rmb kwh to 1 71 rmb kwh and the average level is 1 01 rmb kwh on this basis we find that the levels of sub regional feed in tariff announced in 2013 are no longer appropriate and should be adjusted as soon as possible we have also identified the implications of technological progress and carbon emission trading schemes as well as the importance of strengthening electricity transmission it has been suggested that the chinese government takes diverse measures including increasing research and development investment establishing and improving a nationwide carbon emission trading scheme and accelerating the construction of electricity transmission infrastructure to reduce the required feed in tariff and promote the development of solar photovoltaic power generation

loss aversion under prospect theory a parameter free measurement agrowing body of qualitative evidence shows that loss aversion a phenomenon formalized in prospect theory can explain a variety of field and experimental data quantifications of loss aversion are however hindered by the absence of a general preference based method to elicit the utility for gains and losses simultaneously this paper proposes such a method and uses it to measure loss aversion in an experimental study without making any parametric assumptions thus it is the first to obtain a parameter free elicitation of prospect theory s utility function on the whole domain our method also provides an efficient way to elicit utility midpoints which are important in axiomatizations of utility several definitions of loss aversion have been put forward in the literature according to most definitions we find strong evidence of loss aversion at both the aggregate and the individual level the degree of loss aversion varies with the definition used which underlines the need for a commonly accepted definition of loss aversion

reframing the discount as a comparison against the sale price does it make the discount more attractive abstractsales induced through price promotions depend heavily on discount depth so firms create mechanisms to influence perceptions of discount depth typically consumers compute discount depth as the difference between the sale price and the original price with this difference compared against the original price but thus far no research has examined the effect of reframing this difference by comparing the discount depth against the sale price multiple studies including a field study across four grocery stores show that framing the discount depth by comparing it against the sale price increases consumers discount depth perceptions and thus increases purchase intentions as evidence of the underlying process the authors identify boundary conditions related to both individual differences numeracy and managerially relevant factors discount depth size in addition to contributing to research on price promotions behavioral pricing and numeric processing the article offers implications for both

discount rates for time versus dates the sensitivity of discounting to time interval description abstract six experiments examine the impact of time interval descriptions on consumers discount rates consumers exhibit more discounting e g they demand more money to delay income when delay intervals are described by extents of time than when delay intervals are described by dates this pattern holds in various contexts including gains and losses and is robust to response mode changes findings further indicate that this effect may arise because compared with date descriptions extent descriptions enhance perceptions of interval length the author discusses other potential mechanisms and implications

real option valuation of facts investments based on the least square monte carlo method efficient and well timed investments in electric transmission networks that cope with the large ongoing power market uncertainties are currently an open issue of significant research interest strategic flexibility for seizing opportunities and cutting losses contingent upon an unfavorable unfolding of the long term uncertainties is an attribute of enormous value when assessing irreversible investments in this sense flexible ac transmission systems facts devices appear as an effective manner of adding flexibility to the transmission expansion planning this article proposes an investment valuation approach which properly assesses the option value of deferring transmission lines investments whereas gaining flexibility by investing in facts devices the flexibility provided by facts investments option to abandon and to relocate is assessed through a real option valuation approach based on the novel least square monte carlo method in order to illustrate the practicability of the proposed valuation approach a traditional expansion strategy lines and a flexible investment strategy lines and facts are compared in a real study case the article shows that a proper combination of lines and facts leads to efficient investments by allowing a progressive adaptation of the transmission grid to the changing scenarios

price dynamics in the european union emissions trading system and evaluation of its ability to boost emission related investment decisions abstract the price of permits in the european union emissions trading system eu ets has historically been highly sensitive and prone to jumps we consider different stochastic processes to model the price of permits and show that the variance gamma vg model provides the best fit for the price distribution among a selection of infinite activity processes using this result as a starting point we assess the effects of the eu ets in delivering low carbon investments at the firm level by modeling a price taker electricity producer subject to the eu ets jurisdiction we compute via least squares monte carlo the value of the real option the greenhouse gas emitter has consisting in the opportunity to switch from its current high carbon technology to a cleaner one we use a vg specification for carbon prices and a mean reverting brennan schwartz process for the price of fuel moreover we further analyze the investment decision problem in case of a co 2 price stabilization mechanism in the form of a price floor by explicitly computing the expected value of the investment project by means of fourier methods our results show that the introduction of the price stabilization mechanism significantly affects the timing of the investment decision and supports emission related investments

structural breaks and electricity prices further evidence on the role of climate policy uncertainties in the australian electricity market the primary objectives and the strategies of a national electricity market are the efficient delivery of network services and the electricity infrastructure to meet the long term consumer s interests therefore the objective of this study is to explore whether electricity prices across the six australian states display instability such instability is closely associated with the presence of structural breaks in relevance to policy events on australian carbon policies the study makes use of weekly australian wholesale electricity prices spanning the period from june 8th 2008 to march 30th 2014 along with linear and non linear unit root testing methodologies the results provide supportive evidence that the australian electricity market can be described as a less stable electricity market which implies that a high degree of market power is exercised by generators across regional markets these findings are expected to have substantial consequences for the effectiveness of carbon dioxide mitigating policies especially when there is uncertainty as to whether the planned environmental policy is put in place for the lifespan of undertaken investments