employer matching and 401 k saving evidence from the health and retirement study abstract employer matching of employee 401 k contributions is often touted as a powerful incentive to save for retirement and is a key component in pension plan design in the united states using detailed administrative contribution earnings and pension plan data from the health and retirement study this analysis formulates a life cycle consistent econometric specification of 401 k saving and estimates the determinants of saving accounting for non linearities in the household budget set induced by matching the participation estimates indicate that an increase in the match rate by 25 cents per dollar of employee contribution raises 401 k participation by 5 percentage points the parametric and semi parametric estimates for saving indicate that an increase in the match rate by 25 cents per dollar of employee contribution raises 401 k saving by 365 in 1991 dollars overall the analysis reveals that the 401 k saving response to matching is quite inelastic and hence matching is a rather poor policy instrument with which to raise retirement saving

innovation subsidies versus consumer subsidies a real options analysis of solar energy abstract given the interest in the commercialization of affordable clean energy technologies we examine the prospects of solar photovoltaics pv we consider the question of how to transition to a meaningful percentage of solar energy in a sustainable manner and which policies are most effective in accelerating adoption this paper develops a stochastic dynamic model of the adoption of solar pv in the residential and commercial sector under two sources of uncertainty the price of electricity and cost of solar the analytic results suggest that a high rate of innovation may delay adoption of a new technology if the consumer has rational price expectations we simulate the model across alternative rates technological change electricity prices subsidies and carbon taxes it is shown that there will be a displacement of incumbent technologies and a widespread shift towards solar pv in under 30 years and that this can occur without consumer incentives and carbon pricing we show that these policies have a modest impact in accelerating adoption and that they may not be an effective part of climate policy instead results demonstrate that further technological change is the crucial determinant and main driver of adoption further results indicate that subsidies and taxes become increasingly ineffective with higher rates of technological change

leveraged investments and agency conflicts when cash flows are mean reverting we analyse the effect of mean reverting cash flows on the costs of shareholder bondholder conflicts arising from partially debt financed investments in a partial equilibrium setting we find that such agency costs are significantly lower under mean reverting mr dynamics when compared to the ubiquitous geometric brownian motion gbm the difference is attributed to the stationarity of the mr process in addition through the application of a novel agency cost decomposition we show that for a larger speed of mean reversion agency costs are driven mainly by suboptimal timing decisions as opposed to suboptimal financing decisions in contrast under the standard gbm assumption the agency costs are driven mainly by suboptimal financing decisions for large growth rates and by suboptimal timing decisions for smaller or negative growth rates

carbon subsidies taxes and optimal forest management we consider the effect of carbon credit payment schemes on forest owners land use and harvest decisions we study two possible credit allocation regimes one where credits are allocated according to the actual amount of carbon sequestered by the trees on a piece of land and another where credits are allocated according to the long run potential to sequester carbon on the land using a real options model with uncertain future timber prices we examine the effect on the timing of harvests and the replanting abandonment decision we show that both schemes discourage deforestation compensating growers for actual carbon sequestration leads to longer rotation periods between harvests while basing compensation only on the long run potential level of sequestration induces shorter rotation periods the former scheme leads to greater benefits of carbon sequestration at lower cost than the latter scheme although inducing moderate levels of sequestration is expensive under both schemes the cost falls dramatically when the level of payments climbs above some threshold indeed providing the payments are sufficiently generous carbon credit payment schemes offer an effective means of increasing carbon sequestration

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

where the wind blows assessing the effect of fixed and premium based feed in tariffs on the spatial diversification of wind turbines abstract feed in tariffs fit are among the most important policy instruments to promote renewable electricity production the fixed price fit ffit which guarantee a fixed price for every unit of produced electricity and the premium based fit pfit which pay a premium on top of the market price are commonly implemented in the eu costs for balancing intermittent electricity production may be significantly higher with ffit than with pfit and ffit do not provide any incentive to produce electricity when marginal production costs are high in contrast pfit do provide strong incentives to better match renewable power output with marginal production costs in the system the purpose of this article is to assess the effects of the two tariff schemes on the choice of wind turbine locations in an analytical model we show that both the covariance between wind power supply and demand as well as between the different wind power locations matter for investors in a pfit scheme high covariance with other intermittent producers causes a decrease in market prices and consequently in revenues for wind power investors they are therefore incentivized to diversify the locations of wind turbines to decrease the covariance between different wind power production locations in an empirical optimization model we analyze the effects of these two different schemes in a policy experiment for austria the numerical results show that under a pfit scheme 1 spatial diversification is incentivized 2 the covariance of wind power production with marginal electricity production costs increases and 3 the variances of the wind power output and of residual load decrease if wind power deployment attains 10 of total national electricity consumption

participation in and contributions to 401 k pension plans evidence om plan data k plans differ from traditional employer sponsored pension plans in that employees are permitted to make voluntary pre tax contributions hence the sensitivity of participation and contributions to plan charac teristics notably the employer matching rate may play a critical role in retirement saving using plan level data from form 5500s filed annu ally with the internal revenue service ifind that substantial increases occur when an employer moves from a zero to a small or moderately sized match but that at higher match rates employee contributions fall

asset retirement with infinitely repeated alternative replacements harvest age and species choice in forestry abstract at what age should productive assets be retired how should replacements be chosen when they differ in their uncertain ability to generate future incomes as a particular version of that problem we study the tree harvesting decision with two possible replacement species whose values as timber are stochastic and whose growth functions are deterministic in the single rotation wicksell problem starting with a bare piece of land an empty shop it is optimal to choose and plant one species immediately if its current value is sufficiently high relative to that of the other species the alternative equipment however if the species are insufficiently price differentiated it is preferable to leave the land vacant the shop empty despite the opportunity cost of doing so in the repeated version of the problem it is never optimal to leave the land bare provided the cost of replacement is null furthermore the optimal harvest tree retirement age not only depends on the price and current productivity of the trees in place but also on the price and productivity of the other species because it may replace the current one the harvest age reaches a peak at some critical threshold of the relative price that signals the necessity to switch to the alternative species indeed this is when the opportunity cost of choosing one alternative replacement over the other is the highest the land value and also the value of the firm is similar to an american option with free boundary infinite expiry period and endogenous payoff the paper highlights the opportunity cost of alternative replacement options and the central role of their volatility in both asset retirement and replacement choice decisions all results are derived analytically a numerical treatment by the penalty method completes the resolution

the panzar rosse revenue test and market power in banking abstract the panzar rosse h statistic is a commonly used measure of market power in banking it is widely believed that h 0 is inconsistent with significant market power this study rigorously disproves that perception instead the possibility of h 0 under conditions of substantial market power turns out robust to the timing of banks actions relative costs choice of strategic variable degree of product differentiation strategy static or dynamic and degree of heterogeneity in banks conduct collusive versus fringe and hence may be common in practice

the impact of government subsidies and enterprises r d investment a panel data study from renewable energy in china in this research we aim to understand the influence of government subsidies on enterprises research and development r d investment behavior particularly in china s renewable energy sector we are also interested in examining how the attributes of enterprise ownership act as a moderating variable for the relationship between government subsidies and r d investment behavior three classical panel data analysis models including the pooled ordinary least squares ols model the fixed effect model and the random effect model are employed we find that government subsidies have a significant crowding out influence on enterprises r d investment behavior and that the influence is further moderated by the attributes of enterprise ownership moreover a panel threshold regression model is used to demonstrate how the influence of government subsidies on enterprises r d investment behavior will change when government subsidies increase two thresholds 0 6 and 10 1 are identified we recommend that relevant government departments should motivate enterprise r d investment behavioral intention by increasing subsidies within a certain range different attributes of enterprise ownership should also be considered as part of policy reform and re structuring relating to government subsidies

a real options based model and its application to china s overseas oil investment decisions abstract this paper applies real options theory to overseas oil investment by adding an investment environment factor to oil resource valuation a real options model is developed to illustrate how an investor country or oil company can evaluate and compare the critical value of oil resource investment in different countries under oil price exchange rate and investment environment uncertainties the aim is to establish a broad model that can be used by every oil investor country to value overseas oil resources the model developed here can match three key elements 1 deal with overseas investment the effects of investment environment and exchange rates 2 deal with oil investment oil price production decline rate and development cost etc 3 the comparability of the results from different countries different countries oil investment situation can be compared by using the option value index ovi china s overseas oil investment is taken as an example to explain the model by calculating each oil investee country s critical value per unit of oil reserves and examining the effect of different factors on the critical value the results show that the model developed here can provide useful advice for china s overseas oil investment program the research would probably also be helpful to other investor countries looking to invest in overseas oil resources

supply amount and marginal price of renewable electricity under the renewables portfolio standard in japan abstract the renewables portfolio standard rps in japan requires that approximately 1 35 of each retail supplier s electricity sales in fy2010 come from renewable energy sources res for example photovoltaics wind biomass geothermal and small hydropower to help retail suppliers and renewable generators develop effective strategies this study provides a quantitative analysis of the impact of this measure we assume the supply conditions for electricity generation from renewable energy sources res e based on regional resource endowments and we derive the cost effective compositions of renewable portfolios res e certificate prices and additional costs to retail suppliers the future prospects of res e are assessed based on technology region and year up to fy2010 the analysis reveals that wind power and biomass power generated from municipal waste will provide the majority of the total supply of res e under the rps it also indicates that the marginal price of res e certificates will be approximately 5 8 jpy kwh 5 2 usc kwh in fy2010 in the case wherein the marginal price of electricity is assumed to be 4 jpy kwh 3 6 usc kwh in order to elaborate on this further sensitivity analyses for some parameters of res and the price of electricity are provided the dynamic supply curves of res e certificates are also indicated

using the binomial model for the valuation of real options in computing optimal subsidies for chinese renewable energy investments abstract for the valuation and implementation of renewable energy investments the issue of providing private investors with a financial incentive to accelerate their investment is frequently a critical component we apply this principle to the chinese context this paper focuses on using the binomial model to compute the required subsidy that would incentivize investors to optimal immediate exercise of the american style option embedded at the launching phase of the projects for chinese renewable energy investments in addition this paper also aims at contrasting the binomial model with the more laborious monte carlo simulation previously used to evaluate the proper subsidy by using the same data but a different method and reducing the number of uncertain factors to one it is suggested these two methods have similar outcomes but the binomial method requires substantially less computation and is more self explanatory this paper thus provides government with an easy to implement alternative way to compute the required subsidy

real option valuation in renewable energy literature research focus trends and design abstract in light of intensive development of the renewable energy re sector a growing number of academic papers address the complexity of re investment planning and valuation to take account of the high risk profile and irreversibility of re investments researchers have resorted to sophisticated real options ro approaches that enable flexibility to be incorporated into project design in the face of an uncertain environment the variety of different frameworks and models adopted as well as a lack of aggregated analysis of the field suggest a need for a critical review of ro methodology and design in re assessment this study describes the research focus trends and design found in contemporary academic literature devoted to re valuation with a ro approach particular attention is given to ro in project and policy design the results give a comprehensive picture of existing research on the topic thus providing researchers with a solid foundation for further study and indications of directions for future development furthermore the findings provide policymakers and project planners with valuable insights into key aspects of re project and policy design

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

renewable energy technologies as beacon of cleaner production a real options valuation analysis for liberia abstract the importance of energy consumption for growth and development calls for improved decision support for a sustainable energy transition given africa s dependence on fossil fuels the economic and environmental savings from research development and deployment of renewable energy technologies may be substantial although the benefits of renewable energy technologies research development funding may appear to be low assuming immediate deployment the uncertainty in the non renewable energy price and the flexibility over timing makes research development program more appealing this study develops different scenarios in order to quantify benefits provided by research development funding for renewable power generation in liberia by using real options pricing approach to estimate the value of renewable energy technologies while taking into account the uncertainty of fossil fuel prices and learning by doing in renewable energy technologies the optimal solution shows that renewable energy technologies are economically attractive especially when external costs are internalized however annual research development funding is low and should be raised significantly in order to guarantee the highest possible investment incentives with minimal expenditures the study also hypothesizes that with the likelihood of renewable energy to replace non renewable energy renewable power use in liberia can potentially reduce carbon dioxide emissions by approximately 13 9 by 2015 compared to the 2008 levels the key insight provided by the real options analysis in this study is that while renewable energy may have inherent limitations such as seasonality of supply low energy content and capacity factor issues they still hold a significant amount of value which can only be detected when externalities are internalized thus underscoring the need for external costs related policies

optimizing the level of renewable electric r d expenditures using real options analysis abstract one of the primary objectives of the united states federal non hydro renewable electric r d program is to promote the development of technologies that have the potential to provide consumers with stable and secure energy supplies in order to quantify the benefits provided by continued federal renewable electric r d this paper uses real option pricing techniques to estimate the value of renewable electric technologies in the face of uncertain fossil fuel prices within the real options analysis framework the current value of expected future supply from renewable electric technologies net of federal r d expenditures is estimated to be 30 6 billion of this value 86 can be attributed to past federal r d efforts and 14 can be attributed to future federal r d efforts assuming continued federal r d funding at 300 million yr in addition real options analysis shows that the value of renewable electric technologies increases as current and future r d funding levels increase this indicates that the current level of federal renewable electric r d funding is sub optimal

the rosse panzar statistic and the lerner index in the short run abstract the lerner index or price cost margin is derived in terms of the rosse panzar statistic thereby broadening our understanding of the latter and affording a way of empirically estimating the former

renewable energy policy evaluation using real option model the case of taiwan abstract this study presents a policy benefit evaluation model that integrates cost efficiency curve information on renewable power generation technologies into real options analysis roa methods the proposed model evaluates quantitatively the policy value provided by developing renewable energy re in the face of uncertain fossil fuel prices and re policy related factors the economic intuition underlying the policy making process is elucidated while empirical analysis illustrates the option value embedded in the current development policy in taiwan for wind power in addition to revealing the benefits that re development provides when considering real options analytical results indicate that roa is a highly effective means of quantifying how policy planning uncertainty including managerial flexibility influences re development in addition to assessing the policy value of current re development policy this study also compares policy values in terms of internalized external costs and varying feed in tariff fit simulation results demonstrate that the re development policy with internalized co2 emission costs is appropriate policy planning from sustainability point of view furthermore relationship between varying fit and policy values can be shown quantitatively and appropriate fit level could be determined accordingly

impact of deployment of renewable portfolio standard on the electricity price in the state of illinois and implications on policies abstract the renewable portfolio standard rps of the state of illinois specifies a schedule for the fraction of electricity produced from wind to be phased in through 2025 the price of electricity due to implementation of rps in order to achieve a six year payback on investment on new wind farms was estimated for six scenarios that examined the effect of electricity consumption growth rate production tax credit of 0 022 kw h or unrestricted investment tax credit of 30 and projected changes in installed project costs in all cases the electricity price was found to be dominated by the installed project cost capital cost thus any policy that affects the capital cost directly or indirectly would have a significant effect on the electricity price whereas investment tax credit has a direct effect policies that encourage technology improvement and improve transmission lines would have a similar effect of lowering the capital cost carbon tax on the other hand would increase the electricity price to the consumers although it offers other benefits

forest valuation under the new zealand emissions trading scheme a real options binomial tree with stochastic carbon and timber prices under the new zealand emissions trading scheme forests planted on or after january 1 1990 earn carbon credits these credits have to be repaid when the forest is harvested this paper analyses the effects of this scheme on the value of bareland on which radiata pine is to be planted a real options method is developed and applied assuming stochastic carbon and timber prices we find that land value increases by about 73 with the optimal rotation age substantially lengthened the derived optimal harvest price thresholds are useful in deciding whether to harvest or to wait jel q23 q28

valuing flexibility the case of an integrated gasification combined cycle power plant abstract in this paper we analyze the choice between two technologies for producing electricity in particular the firm has to decide whether and when to invest either in a natural gas combined cycle ngcc power plant or in an integrated gasification combined cycle igcc power plant which may burn either coal or natural gas instead of assuming that fuel prices follow standard geometric brownian motions here they are assumed to show mean reversion specifically to follow an inhomogeneous geometric brownian motion first we consider the opportunity to invest in a ngcc power plant we derive the optimal investment rule as a function of natural gas price and the remaining life of the right to invest in addition the analytical solution for a perpetual option to invest is obtained then we turn to the igcc power plant we analyse the valuation of an operating plant when there are switching costs between modes of operation and the choice of the best operation mode this serves as an input to evaluate the option to invest in this plant finally we derive the value of an opportunity to invest either in a ngcc or igcc power plant i e to choose between an inflexible and a flexible technology respectively depending on the opportunity s time to maturity we derive the pairs of coal and gas prices for which it is optimal to invest in ngcc in igcc or simply not to invest numerical computations involve the use of one and two dimensional binomial lattices that support a mean reverting process for coal and gas prices basic parameter values are taken from an actual igcc power plant currently in operation sensitivity of some results with respect to the underlying stochastic process for fuel price is also checked

enhancing renewable and sustainable energy development based on an options based policy evaluation framework case study of wind energy technology in taiwan global warming and climate change have shifted the focus of industrial development towards low carbon renewable energy re as evidence by global efforts to develop re based sustainable energy policies however the generally cost ineffective nature of re investments explains continued governmental subsidies and draft assistance measures to encourage related industrial development reduce research and development r d costs and increase innovativeness besides measures to accelerate supply and reduced demand for energy sustainable energy policies must enact thoroughly planned legal and regulatory mechanisms notable examples of establishing a legal basis for a low carbon society in taiwan include the energy management act renewable energy development bill greenhouse gas reduction act draft and energy tax act draft however such legislative efforts occasionally conflict or compete with each other warranting further integration additionally re technologies are characterized by high r d costs long term planning and high investment risks therefore based on global trends in wind power development and related policy planning this study analyzes the feasibility of implementing management strategies in the development process and the correlations between such strategies additionally the achievements polices functions mechanisms promotion measures and future plans for related renewable and sustainable energy laws in taiwan is thoroughly reviewed an options based policy evaluation framework is also constructed based on governmental administrative considerations moreover the characteristics of options that lead to unforeseen circumstances during the planning of re development policies are discussed allowing us to derive real time response measures with a decision making value results of this study provide a valuable reference for governmental efforts to evaluate the merits and limitations of related policies concisely ultimately facilitating the formulation of re development policies

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

a method for allocating renewable energy source subsidies among final energy consumers abstract in a new context of growing need for renewable energy sources res tariff design has become a critical component of energy system regulation a methodology for allocating the cost of res subsidies that ensures an optimal balance between compliance with the main regulatory principles of tariff design and each state s specific policy is of cardinal importance in the current context this paper presents and discusses a novel methodology to allocate the res subsidy costs which consists of distributing them among final energy consumers in proportion to their consumption regardless of the type of final energy consumed liquid fuels gas electricity or coal first the different designs of res subsidies are categorized and a review of a good number of the res burden sharing mechanisms implemented in the eu is presented then the proposed methodology is developed on the basis of the basic regulatory principles underlying the tariff design and the current regulatory context in force in the eu finally to illustrate its actual impact in a real case example the proposed methodology is applied to the spanish system in which the burden of extra costs incurred for res amounts to a very large proportion of the overall energy system costs

a real options evaluation model for the diffusion prospects of new renewable power generation technologies this study presents a policy planning model that integrates learning curve information on renewable power generation technologies into a dynamic programming formulation featuring real options analysis the model recursively evaluates a set of investment alternatives on a year by year basis thereby taking into account that the flexibility to delay an irreversible investment expenditure can profoundly affect the diffusion prospects of renewable power generation technologies price uncertainty is introduced through stochastic processes for the average wholesale price of electricity and for input fuel prices demand for electricity is assumed to be increasingly price sensitive as the electricity market deregulation proceeds reflecting new options of consumers to react to electricity price changes such as time of use pricing unbundled electricity services and choice of supplier the empirical analysis is based on data for the turkish electricity supply industry apart from general implications for policy making it provides some interesting insights about the impact of uncertainty and technical change on the diffusion of various emerging renewable energy technologies

competition conduct and demand elasticity abstract this paper demonstrates the relationship between the rosse panzar test for competitive conduct and the firm s elasticity of demand and develops a method of increasing the test s discriminating power

permanent and temporary policy incentives for conservation under stochastic returns from competing land uses rapid conversion of private land for agricultural and urban use has raised concern worldwide over the loss of ecological services to inform conservation policy we model privately optimal land use decisions using a real options framework that assumes both the ecological and commercial values of land are stochastic and that land conversion is irreversible we analyze permanent and temporary land conservation policy incentives using this dynamic framework to guide policy makers interested in designing efficient payment mechanisms to achieve ecological preservation goals we find that while the financial cost of temporary policy incentives is generally much lower than permanent policy incentives this difference is very small in scenarios with high discount rates and lower uncertainties in conversion returns and lower expected trend in conservation returns alternately the financial cost of temporary conservation is substantially lower than that of permanent conservation when the expected trend in conservation returns and uncertainties in conservation and conversion returns is high and the discount rate is low comparison with net present value and single source uncertainty models indicates that the presence of a second uncertainty increases the option value of delaying conversion and shows that permanent and temporary policy incentives based on either of the two simpler models can be seriously misguided if multiple uncertainties are present we illustrate the analytical results with a case study of tropical deforestation in indonesia where private landowners can either conserve forests and earn carbon credits or convert to palm oil agriculture and earn profits from the sale of palm oil

estimating the value of wind energy using electricity locational marginal price abstract there is an increasing interest in adding renewables such as wind to electricity generation portfolios in larger amounts as one response to concern about atmospheric carbon emissions from our energy system and the resulting climate change most policies with the aim of promoting renewables e g rps fit do not explicitly address siting issues which for wind energy are currently approached as the intersection of wind resource land control and transmission factors this work proposes the use of locational marginal price lmp the location and time specific cost of electricity on the wholesale market to signal locations where generation can address electricity system insufficiency after an examination of the spatial and temporal behavior of lmp in michigan over the first two years of wholesale market operation this work combines lmp with wind speed data to generate a value metric high value sites in michigan tend to be sites with higher wind speeds with the bulk of value accruing in the fall and winter seasons

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

harvesting in a fishery with stochastic growth and a mean reverting price we analyze a continuous nonlinear bioeconomic model to demonstrate how stochasticity in the growth of fish stocks affects the optimal exploitation policy when prices are stochastic mean reverting and possibly harvest dependent optimal exploitation has nonlinear responses to the price signal and should be conservative at low levels of biological stochasticity and aggressive at high levels price stochasticity induces conservative exploitation with little or no biological uncertainty but has no strong effect when the biological uncertainty is larger we further observe that resource exploitation should be conservative when the price reverts slowly to the mean simulations show that in the long run both the stock level and the exploitation rate are lower than in the deterministic solution with a harvest dependent price the long run price is higher in the stochastic system the price mean reversion rate has no influence on the long run solutions

cost effectiveness of renewable electricity policies we analyze policies to promote renewable sources of electricity a portfolio standard rps raises electricity prices and primarily reduces gas fired generation a knee of the cost curve exists between 15 and 20 goals for 2020 in our central case and higher natural gas prices lower the cost of greater reliance on renewables a renewable energy production tax credit lowers electricity price at the expense of taxpayers which limits its effectiveness in reducing carbon emissions and it is less cost effective at increasing renewables than a portfolio standard neither policy is as cost effective as a cap and trade policy for achieving carbon emission reductions

optimal investment in ecological rehabilitation under climate change ecological rehabilitation is subject to a variety of risks affecting the likely return on investment we propose an options approach to allocating scarce conservation funds that explicitly allows for the irreversibility of investment and risks to investment payoffs the approach captures ecosystem dynamics from extinction debt as well as ecological and climatic risks at the project scale climatic risks are introduced through three channels the effects of climate change on species loss future rehabilitation benefits and frequency of catastrophic events our results suggest that allocating voluntary rehabilitation contracts on the basis of real options criteria increases cost efficiency and delivers greater value for money for the government when compared with the conventional cost effectiveness criterion as it is illustrated for the case of box gum grassy woodland rehabilitation in australia

harvest decisions and asset valuation for biological resources exhibiting size dependent stochastic growth optimal harvest rules and preharvest valuation procedures are derived for biological assets with stochastic size dependent growth in a stochastic price environment these issues are analyzed as continuous time optimal stopping problems both the single rotation and ongoing rotations problems are addressed the sensitivity of harvest and valuation rules is assessed the results are compared with those derived from a myopic look ahead procedure and with the corresponding findings for age dependent growth copyright 1990 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

what a difference a stochastic process makes epidemiological based real options models of optimal treatment of disease the real options approach has been used within environmental economics to investigate the impact of uncertainty on the optimal timing of control measures to minimise the impacts of invasive species including pests and diseases previous studies typically model the growth in infected area using geometric brownian motion gbm the advantage of this simple approach is that it allows for closed form solutions however such a process does not capture the mechanisms underlying the spread of infection in particular the gbm assumption does not respect the natural upper boundary of the system which is determined by the maximum size of the host species nor the deceleration in the rate of infection as this boundary is approached we show how the stochastic process describing the growth in infected area can be derived from the characteristics of the spread of infection if the model used does not appropriately capture uncertainty in infection dynamics then the excessive delay before treatment implies that the full value of the option to treat is not realised indeed when uncertainty is high or the disease is fast spreading ignoring the mechanisms of infection spread can lead to control never being deployed thus the results presented here have important implications for the way in which the real options approach is applied to determine optimal timing of disease control given uncertainty in future disease progression

tying odysseus to the mast evidence from a commitment savings product in the philippines we designed a commitment savings product for a philippine bank and implemented it using a randomized control methodology the savings product was intended for individuals who want to commit now to restrict access to their savings and who were sophisticated enough to engage in such a mechanism we conducted a baseline survey on 1777 existing or former clients of a bank one month later we offered the commitment product to a randomly chosen subset of 710 clients 202 28 4 percent accepted the offer and opened the account in the baseline survey we asked hypothetical time discounting questions women who exhibited a lower discount rate for future relative to current trade offs and hence potentially have a preference for commitment were indeed significantly more likely to open the commitment savings account after twelve months average savings balances increased by 81 percentage points for those clients assigned to the treatment group relative to those assigned to the control group we conclude that the savings response represents a lasting change in savings and not merely a short term response to a new product

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

valuing chinese feed in tariffs program for solar power generation a real options analysis newhuadu business school research fund china sustainable energy program g 1305 18257 national social science foundation of china 12zd059 ministry of education 10gbj013

real option valuation of power transmission investments by stochastic simulation abstract network expansions in power markets usually lead to investment decisions subject to substantial irreversibility and uncertainty hence investors need valuing the flexibility to change decisions as uncertainty unfolds progressively real option analysis is an advanced valuation technique that enables planners to take advantage of market opportunities while preventing or mitigating losses if future conditions evolve unfavorably in the past many approaches for valuing real options have been developed however applying these methods to value transmission projects is often inappropriate as revenue cash flows are path dependent and affected by a myriad of uncertain variables in this work a valuation technique based on stochastic simulation and recursive dynamic programming called least square monte carlo is applied to properly value the deferral option in a transmission investment the effect of option s maturity the initial outlay and the capital cost upon the value of the postponement option is investigated finally sensitivity analysis determines optimal decision regions to execute postpone or reject the investment projects

the tree cutting problem in a stochastic environment the case of age dependent growth abstract harvest policies are derived for growing biological assets e g forests livestock subject to stochastic age dependent growth and price uncertainty the task posed is analyzed as a continuous time optimal stopping problem for diffusion processes both single and ongoing rotation problems are considered qualitative comparative static and numerical results are provided

in search of inclusion informal sector participation in a voluntary defined contribution pension system abstractthis paper examines who contributes and who persists in contributing in a national voluntary defined contributory pension programme where the government provides the incentive of matching contributions of a minimum amount usd 16 the paper uses proprietary data from a financial services firm where 12 per cent of customers 37 000 individuals chose to participate in this programme the evidence shows that only about 50 per cent of contributors reach the minimum amount for the co contribution but that participants persist in contributing even if they failed to contribute the minimum amount in a given year while this paper does not provide causal estimates it does present evidence of considerable interest among the informal sector in a state run voluntary pension programme in an emerging market where access to formal finance is otherwise poor

real options approach to renewable energy investments in mongolia developing nations are seeking alternative energy for electricity and one attractive alternative is renewable energy this research analyzes changing investment environment for renewable energy with real options approach and explores its potential in developing economies through studying the case of mongolia under coal price uncertainty to evaluate comparative attractiveness of either continuing to use coal based infrastructures or switching to renewable energy we formulate social revenue functions for the two environments assuming that renewable energy has lower external costs and coal prices follow geometric brownian motion gbm or geometric mean reverting gmr processes we find the optimal trigger coal prices for switching technologies with some scenarios in electricity price and externality characterize when renewable energy investments become attractive in contrast to conventional wisdom we identify some situations where the value of having more decision opportunities does not exceed that of a now or never decision for switching technologies and welfare losses are incurred the optimal trigger prices are higher in gbm than in gmr and our result raises the possible risks for waiting to switch energy to avoid welfare losses in mongolia the government should increase electricity prices or switch to renewable energy earlier especially when people pay more for the removal of externalities

on estimating the option value of preserving a wilderness area in this paper option pricing theory is used to analyse whether or not to preserve a wilderness area a numerical approach is demonstrated that can be applied to any generalized stochastic process the impact of assuming that amenity value follows a logistic process rather than geometric brownian motion is considered the calculation of critical levels for amenity value necessary to justify preserving a wilderness area such as the killarney provincial park in ontario or the headwaters forest in california is demonstrated the impact of changing the assumed growth and volatility of amenity value is also examined jel classifcation d81 q26 ce memoire utilise la theorie de la tarification d une option pour analyser si on doit preserver un espace naturel on utilise une approche numerique qui peut etre appliquee a tout processus stochastique generalise on examine l impact de possibilites que le profil de la valeur de la ressource dans la temps suive un processus logistique plutot qu un pattern geometrique de type brownien le texte montre le calcul des niveaux critiques de la valeur de la ressource qui seraient necessaires pour justifier la preservation d une espace naturel comme le parc provincial killarney en ontario ou les forets headwaters en californie l impact de postulats differents quant a la croissance et a la volatilite de la valeur de la ressource est examine

electricity generation from renewables in the united states resource potential current usage technical status challenges strategies policies and future directions abstract in order to secure the energy future and protect the environment the u s is looking for renewable resources to meet the increasing energy demands for its electricity sector which accounts for 40 of total u s energy consumption in 2011 the overall aim of this article is to summarize the possible approaches that can be used to improve and optimize the utilization of renewables for electricity generation in the united states first an overview is presented about the resource potential current usage and technical status of electricity generation from renewables in the united states second a number of economic operational regulatory sustainability and technical challenges that are likely to be encountered are identified third strategies are outlined that can be used to minimize costs deal with the spatial nature of renewables smooth temporal variations associated with intermittency and achieve successful integration of electricity generated from renewable resources into the u s power grid fourth a sustainability assessment framework for renewable resource deployment for electricity generation in the u s is discussed the framework considers multiple criteria including cost environmental and social impacts thus giving a comprehensive assessment of each renewable energy resource for electricity generation in the united states fifth the current u s renewable energy policy is analyzed and rigorous recommendations are made for optimizing future u s renewable energy policy that can permanently induce a long term sustainable shift towards electricity generation from renewables finally directions for future research are highlighted

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

implementing renewable energy portfolio standards the good the bad and the ugly in a two state comparison abstract understanding how household practices with regard to energy usage change and how to most effectively encourage the adoption of technologies that utilize renewable energy sources at the residential scale are important issues for addressing the environmental impacts of energy use here the social practices model spaargaren 2003 is applied to examine solar technology adopters in two u s states who were interviewed about adopting residential solar electric technology and specifically about their experiences with the rebate and incentive programs available to them examining the policies and interrogating their potentially unintended consequences from the perspective of the user sheds light on how residential solar incentive programs act as systems of provision shaping the practices of solar technology adopters in hopes of improving these incentive programs and effectively encouraging increased residential solar technology adoption findings suggest that feed in tariffs offer additional positive outcomes related to broadening the context for adoption and encouraging future energy conservation while size restrictions wholesale pricing in net metering agreements and inconsistent policy mechanisms across utilities in the same state all have potentially unintended negative consequences utilizing a perspective attentive to social practice offers a means of improving the design and implementation of energy policy

wicksellian theory of forest rotation under interest rate variability abstract we apply the wicksellian single rotation framework to cover the unexplored case of variable and stochastic interest rate we provide a mathematical characterization of the two dimensional optimal stopping problem and show in the presence of amenity valuation that increased interest rate volatility lengthens the optimal rotation period and increases the value of the optimal policy by modelling the interest rate as a mean reverting process and forest value as a geometric brownian motion and abstracting from amenity valuation we present an explicit solution for the problem numerical illustrations indicate that interest rate volatility has a significant and non linear impact on optimal rotation

the economic costs of reducing greenhouse gas emissions under a u s national renewable electricity mandate the electricity sector is the largest source of greenhouse gas emissions ghgs in the u s many states have passed and congress has considered renewable portfolio standards rps mandates that specific percentages of electricity be generated from renewable resources we perform a technical and economic assessment and estimate the economic costs and net ghg reductions from a national 25 percent rps by 2025 relative to coal based electricity this policy would reduce ghg emissions by about 670 million metric tons per year 11 percent of 2008 u s emissions the first 100 million metric tons could be abated for less than 36 metric ton however marginal costs climb to 50 for 300 million metric tons and to as much as 70 metric ton to fulfill the rps the total economic costs of such a policy are about 35 billion annually we also examine the cost sensitivity to favorable and unfavorable technology development assumptions we find that a 25 percent rps would likely be an economically efficient method for utilities to substantially reduce ghg emissions only under the favorable scenario these estimates can be compared with other approaches including increased r d funding for renewables or deployment of efficiency and or other low carbon generation technologies

a stochastic analysis of the tree paradigm abstract the tree paradigm which is a problem in optimal stopping has important ramifications for human capital acquisition search behavior firm entry and in the theory of renewable resources our paper extends previous work in the stochastic literature on several fronts we exhibit a tractable solution to the rotation problem for the stochastic model analyze the effects of inputs which control the growth process and illustrate our results with a multi stage learning problem

taxation and rotation age under stochastic forest stand value abstract the paper uses both the single rotation and ongoing rotation framework to study the impact of yield tax lump sum tax and tax on interest rate earnings on the privately optimal rotation period when forest stand value is stochastic and forest owners are risk averse or risk neutral under risk aversion the optimal harvesting threshold is lower and therefore the expected rotation period shorter than under risk neutrality both in the single and ongoing rotation cases whether the forest owner is risk averse or risk neutral a higher yield tax a higher lump sum tax or a higher tax on interest rate earnings raise the optimal harvesting threshold numerical results indicate that the optimal harvesting threshold increases less rapidly under risk aversion than under risk neutrality with an increase in either a yield tax or the volatility of forest stand value

investment flexibility as a barrier to entry abstract this paper presents a model of investment in a duopoly with firms that choose the scale and timing of investment decision making flexibility and the costs saved by investing in large steps rather than sequences of small steps determine an incumbent s ability to deter entry by a potential competitor entry occurs when these cost savings are very small or very large because the effect of increased industry capacity on the incumbent s assets in place is the same regardless of which firm invests in intermediate cases the incumbent is able to deter entry by making a smaller earlier investment than the potential entrant the smaller investment scale protects the incumbent s assets in place which offsets the incumbent s cost disadvantage from investing in smaller steps than the entrant would choose nevertheless the threat of entry constrains the incumbent s investment behavior and limits its profitability the model is solved using a combination of best response iteration and the projected successive over relaxation method

the spillover effects of biofuel policy on participation in the conservation reserve program abstract this paper studies the spillover effects of rising biofuel production on participation in the conservation reserve program landowner participation decisions are modeled using a real options framework we develop a land use decision model that captures biofuel driven structural changes in market demand and derive threshold conditions that trigger participation in the program we then quantify the impacts of biofuel production on participation at both the national and state levels using monte carlo simulations the model is also used to analyze how changes in the persistence of the biofuel production boom and in the volatility of farming returns affect conservation participation decisions policy implications of the results are discussed

assessing competition with the panzar rosse model the role of scale costs and equilibrium the panzar rosse test has been widely applied to assess competitive conduct often in specifications controlling for firm scale or using a price equation we show that neither a price equation nor a scaled revenue function yields a valid measure for competitive conduct moreover even an unscaled revenue function generally requires additional information about costs and market equilibrium to infer the degree of competition our theoretical findings are confirmed by an empirical analysis of competition in banking using a sample containing more than 100 000 bank year observations on more than 17 000 banks in 63 countries during the years 1994 2004

distribution of costs induced by the integration of res e power this article focuses on the distribution of costs induced by the integration of electricity generation from renewable energy sources res e the treatment to distribute these costs on different market actors is crucial for its development for this purpose individual actors of electricity markets and several cost categories are identified according to the defined cost structure possible treatments to distribute the individual cost categories on different relevant actors are described finally an evaluation of the cost distribution treatments based on an economic analysis is given economic efficiency recommends that clearly attributable shallow grid connection as well as deep grid costs are charged to the corresponding res e producer and that the res e producers are also charged the regulating power costs however deep grid integration costs should be updated to reflect evolving scarcities also regulating power costs should reflect actual scarcity and thus be symmetric and based on real time prices taking into account the overall system imbalance moreover the time span between the closure of the spot market and actual delivery should be chosen as short as possible to enable accurate res e production forecasts

optimal forest rotation when stumpage prices follow a diffusion process a key assumption in the faustmann rule for financial maturity is that stumpage prices are constant over time timber price series however exhibit wide fluctuations over time which this paper models as a lognormal diffusion process comparing the diffusion results modeled here to the fixed price faustmann results show 1 the prescribed rotation length is generally longer 2 computed stand values are higher using the diffusion model with the greatest divergence occurring when a stand is about the midpoint of a rotation 3 as the stumpage price volatility increases the gain in computed npv increases though in a nonlinear fashion

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

the composition and drawdown of wealth in retirement as the baby boomers approach and enter their retirement years the accumulation phase of their life cycle is nearly over thus the focus of many researchers financial services firms and public policymakers concerned with retirement saving is shifting from the accumulation of resources while working to the drawdown of resources during retirement retired households are dependent on the annuitized income streams that they have built up during their working careers and on the wealth that they have accumulated in other forms the two most common annuitized income streams are social security benefits and the payments from defined benefit pension plans these payout streams provide income for life and thus provide some protection against falling into poverty if one lives an especially long life the three most common sources of accumulated wealth are equity in an owner occupied home financial assets such as bonds and stocks and financial assets held in a personal retirement account such as an individual retirement arrangement or a 401 k plan throughout our analysis we will define retirement age households as those headed by someone between the ages of 65 and 69 in 2008 just over 80 percent of these households had some equity in their home or another property while 52 percent had assets in personal retirement accounts a much higher fraction 87 percent had some financial assets outside their retirement accounts but for many households the amount of such assets was relatively modest only 45 percent had more than 20 000 in non retirement account financial assets the median financial asset holding for this group including holdings in personal retirement accounts is 52 000 in short many households have small enough amounts of accumulated wealth that they will depend heavily on the life contingent payout streams offered by social security and if they have one a defined benefit pension this paper presents evidence on the resources available to households as they enter retirement it draws heavily on data collected by the health and retirement study which we sometimes refer to as the hrs we calculate the potential additional annuity income that households could purchase given their holdings of non annuitized financial assets at the start of retirement even if households used all of their financial assets inside and outside personal retirement accounts to purchase a life annuity only 47 percent of households between the ages of 65 and 69 in 2008 could increase their life contingent income by more than 5 000 per year at the upper end of the wealth distribution however a substantial number of households could make large annuity purchases we also consider the role of housing equity in the portfolios of retirement age households and explore the extent to which households draw down housing equity and financial assets as they age we find that many households appear to treat housing equity and non annuitized financial assets as precautionary savings tending to draw them down only when they experience a shock such as the death of a spouse or a period of substantial medical outlays because home equity is often conserved until very late in life for many households it may provide some insurance against the risk of living longer than expected a brief conclusion summarizes our findings and indicates how they bear on a number of policy issues such as the role for annuity defaults in retirement saving plans

impacts of increasing renewable energy subsidies and phasing out fossil fuel subsidies in china abstract subsidies to fossil fuel consumption have made china s energy system fragile and unsustainable it is necessary for china to reform fossil fuel subsidies and reflect the resource cost and environmental cost in energy prices considering the life cycle external costs this paper estimates the scale of fossil fuel subsidy and the true cost of renewable energy in 2010 and evaluates impacts of increasing renewable energy subsidies and phasing out fossil fuel subsidies on macro economy and energy system in china based on scenario analysis simulation results show that the negative impacts on economic growth can be reduced from 4 460 to 0 432 if only 10 of fossil fuel subsidies were removed increasing subsidies for renewable energy has positive impacts on macroeconomic variables although the economic benefits per unit of subsidies for renewable energy are lower than those for fossil fuels by 0 06 0 19 cny the revenue gap can be narrowed by shifting more subsidies from fossil fuels to renewables increasing subsidies for renewable energy helps optimize china s energy system in three ways the first is making energy consumption structure cleaner the second is improving energy efficiency and the third is addressing the problem of imbalanced distribution and consumption of energy

state renewable energy electricity policies an empirical evaluation of effectiveness over the past decade state governments have emerged as us energy policy leaders across the country states are adopting policy instruments aimed at carbon mitigation and renewable energy deployment one of the most prevalent and innovative policy instruments is a renewable portfolio standard rps which seeks to increase the share of renewable energy electrification in the electricity market this analysis evaluates the effectiveness of state energy programs with an empirical investigation of the linkage between state rps policy implementation and the percentage of renewable energy electricity generation across states we use a variant of a standard fixed effects model referred to as a fixed effects vector decomposition with state level data from 1998 to 2006 results indicate that rps implementation is not a significant predictor of the percentage of renewable energy generation out of the total generation mix yet for each additional year that a state has an rps policy they are found to increase the total amount of renewable energy generation these findings reveal a potentially significant shortcoming of rps policies political institutions natural resource endowments deregulation gross state product per capita electricity use per person electricity price and the presence of regional rps policies are also found to be significantly related to renewable energy deployment

a real options approach to the valuation of a forestry investment abstract the theory of real options is used to model the optimal tree harvesting decision the value of the option to harvest is estimated using a dynamic programming approach and a general numerical solution technique suitable for any type of stochastic process for prices the conditions under which the optimal harvest time is independent of price are examined in addition the impact of assuming future lumber prices are mean reverting is considered it is found that option value and optimal cutting time are significantly different under the mean reversion assumption compared to geometric brownian motion

the decision to conserve or harvest old growth forest abstract the decision to harvest or conserve old growth forest is formulated as a stochastic decision problem in continuous time uncertainty in future amenity values for standing forest and in future timber revenues for harvested forest are included in the model along with the risk of catastrophic destruction by fire pest infestation etc it is shown how the decision problem can be expressed as an optimal stopping problem which can be solved analytically the optimal decision rule is shown to depend on how the ratio of current timber value to the current expected present value of amenity benefits foregone through harvesting compares with some critical level the effects of changes in uncertainty and other parameters on the optimal rule are discussed also it is shown how the cost benefit analysis and certainty equivalence procedures lead to premature harvesting and the expected loss in survival time for these sub optimal procedures is calculated

green electricity policies in the netherlands an analysis of policy decisions over the last decades fundamental changes can be observed in both market conditions and the national policy framework for green electricity in the netherlands the dutch government has regularly intervened in markets demonstrating fundamental shifts in policy and approach this study aims to analyse the developments in renewable energy policy making in the netherlands it assesses changes in the choice of policy instruments and target groups the role of stakeholders and offers explanations behind policy successes and failures dutch green electricity policy over the last decade can be characterised roughly by three phases in the early 1990s the government negotiated voluntary agreements with the energy distribution sector on targets for green electricity sales which were never met in the second half of the 1990s a regulatory energy tax was introduced from which customers of green electricity were exempt this led to a substantial increase in demand which was largely met by green electricity imports and did not lead to additional domestic renewable energy capacity finally a change in policy has taken place recently 2003 shifting the focus from promotion of demand to the promotion of supply through a system of regulated feed in tariffs despite the renewable energy policies growth of the renewable energy market in the netherlands has been small and targets have not been fully met the dutch government has not yet succeeded in substantially reducing market uncertainties and in building confidence among market parties because the policies have not been stable and policy objectives have frequently been partly ambiguous in addition the influence of stakeholders in renewable energy policy making has been small which has the early acceptance and implementation of alternative policies

on solving the multirotational timber harvesting problem with stochastic prices a linear complementarity formulation this article develops a two factor real options model of the harvesting decision over infinite rotations assuming a known stochastic price process and using a rigorous hamilton jacobi bellman methodology the harvesting problem is formulated as a linear complementarity problem that is solved numerically using a fully implicit finite difference method this approach is contrasted with the markov decision process models commonly used in the literature the model is used to estimate the value of a representative stand in ontario s boreal forest both when there is complete flexibility regarding harvesting time and when regulations dictate the harvesting date

the impact of spatial price differences on oil sands investments abstract in this article a two factor real options model is developed to examine the impact spatial price differences have on the value of an oil sands project and the incentive to invest large volatile price differences between locations can emerge when demand to ship exceeds capacity limits this may have a significant impact on production investment and policy in exporting regions here we assume the price difference between two locations follows a stationary process implying crude oil markets are integrated as oil prices in different locations move together the investment decision is formulated as a linear complementarity problem that is solved numerically using a fully implicit finite difference method results show the value of an oil sands project and the incentive to invest in a new project will increase when the mean price difference decreases surprisingly the standard deviation of the price difference has very little impact on project value or the incentive to invest

you can t save alone commitment in rotating savings and credit associations in kenya abstract this article examines one reason why individuals develop and maintain local level financial savings organizations known as rotating savings and credit organizations or roscas economic theories suggest that individuals form roscas to finance the purchase of a lumpy durable good in response to intrahousehold conflict over savings or to provide themselves with insurance the article proposes an additional hypothesis for rosca participation saving requires discipline and some roscas may be formed to provide a collective mechanism for commitment in the presence of time inconsistent preferences data from 70 roscas located in western kenya indicate that the commitment hypothesis is plausible and broadly consistent with the design and patterns of participation in these roscas as many rosca participants put it you can t save alone

levelized cost of electricity lcoe of renewable energies and required subsidies in china newhuadu business school research fund china sustainable energy program g 1305 18257 national social science foundation of china 12zd059 ministry of education 10 jbg 013

evaluation and optimization of feed in tariffs abstract feed in tariff program is an incentive plan that provides investors with a set payment for electricity generated from renewable energy sources that is fed into the power grid as of today fit is being used by over 75 jurisdictions around the world and offers a number of design options to achieve policy goals the objective of this paper is to propose a quantitative model by which a specific fit program can be evaluated and hence optimized we focus on payoff structure which has a direct impact on the net present value of the investment and other parameters relevant to investor reaction and electricity prices we combine cost modeling option valuation and consumer choice so as to simulate the performance of a fit program of interest in various scenarios the model is used to define an optimization problem from a policy maker s perspective who wants to increase the contribution of renewable energy to the overall energy supply while keeping the total burden on ratepayers under control numerical studies shed light on the interactions among design options program parameters and the performance of a fit program

why don t the poor save more evidence from health savings experiments using data from a field experiment in kenya we document that providing individuals with simple informal savings technologies can substantially increase investment in preventative health and reduce vulnerability to health shocks simply providing a safe place to keep money was sufficient to increase health savings by 66 percent adding an earmarking feature was only helpful when funds were put toward emergencies or for individuals that are frequently taxed by friends and relatives group based savings and credit schemes had very large effects

expanding the life cycle model precautionary saving and public policy one of the key puzzles in understanding saving behavior is not so much why people save the title of this session but why people don t save according to the familiar life cycle model households should accumulate wealth to provide for their retirement consumption the surprising result from the data is the sizable fraction of the population who have accumulated so little even among those nearing retirement given that earnings will almost surely decline when households retire such behavior can imply poor living standards for the elderly some might interpret the low wealth accumulation as being evidence of myopia irrationality or a failure of households to enforce mental accounting richard thaler 1994 while others might view the low level of wealth accumulation as evidence of high individual rates of time preference determining the underlying causes of low wealth is crucial for public policies that seek to alleviate low aggregate saving rates in the united states as well as policies that seek to buttress the adequacy of financial resources for the elderly in this paper we outline what we believe to be the causes of why many people do not save we conclude by speculating about government policies that may be most effective at encouraging saving much of the research examining levels of consumption saving and wealth as well as their responsiveness to policy has been done using a life cycle model with the simplifying assumption of perfect certainty alan auerbach and laurence kotlikoff 1987 for example developed a model with 55 overlapping generations of individual lifecycle households each with empirically plausible age earnings profiles and utility parameters and used the model to address tax policy and demographic issues in a regime in which all households are identical within a generation and all generations know future earnings and interest rates more recently a line of inquiry has examined the effects of uncertainty on saving generally in the context of highly stylized models this research has shown that in these models uninsured earnings uncertainty can alter optimal saving behavior in a variety of important ways for a partial review of this precautionary saving literature see hubbard et al 1994 in two recent papers hubbard et al 1993 1994 we have combined these two strands of the literature by examining the implications of a life cycle model of consumption saving and wealth accumulation subject to what we think are the three most important sources of uninsured idiosyncratic risk facing households uncertainty about earnings medical expenses and length of life our intent has been to create a realistic model in which families live for many periods working for part of their lives and retiring later in life to parameterize the uncertainty facing families we estimate tdiscussants christopher carroll federal reserve board john b shoven stanford university laurence kotlikoff boston university

the value of adaption climate change and timberland management abstract adaptation to exogenous change occurs on both intensive and extensive margins whether and how one accounts for human adaptation directly affects estimates of the economic consequences of environmental change estimates that are both critical in informing policy decisions and notoriously difficult to value this paper introduces and applies an analytical framework for placing an economic value on adaptation we explore the issue first in a stylized model that facilitates making concrete generalizations about the kinds of adaptations that generate high or low economic value we then test the soundness of our insights by incorporating learning and adaptive decision making into a structural dynamic forestry model where climate change is imposed exogenously and agents respond optimally using downscaled climate projections integrated with site and species specific timber productivity data we estimate the economic value of adaptation to climate change within the california timber industry we find on the intensive margin changing the rotation intervals will yield a low value of adaptation but on the extensive margin replanting more suitable tree species can yield significant value

cost effectiveness as energy policy mechanisms the paradox of technology neutral and technology specific policies in the short and long term when choosing policy mechanisms to design and deploy energy policies policymakers typically seek cost effective ones linking cost effectiveness to the lowest cost of support for res e generation and or consumer costs the objectives of this paper are to analyze the cost effectiveness of renewable portfolio standards rps feed in tariffs fit and auctions in the short and long term considering both technology neutral and technology specific approaches results show that rps and auctions are more cost effective than feed in tariffs fit in the short term if cost effectiveness is defined as minimizing consumer costs also if one or more emerging technologies with higher levelized life cycle costs lcc low cumulative production and high experience elasticity are considered in the pool of res e policy design a technology neutral approach in the short term could lock out these emerging technologies avoiding a long term lcc reduction in this case a technology specific policy used in the short term would reflect lower total generation policy costs in the long term if compared with a technology neutral policy in both short and long term this paper calls this phenomenon the paradox of technology neutral and technology specific policies in the long term considering the results this paper suggests a mix of technology neutral and technology specific policies using rps or auction mechanisms to promote res e

patterns of rainfall insurance participation in rural india take up of an innovative rainfall insurance policy offered to smallholder farmers in rural india decreases with basis risk between insurance payouts and income fluctuations increases with household wealth and decreases with binding credit constraints these results are consistent with the predictions of a simple neoclassical model with borrowing constraints other patterns are less consistent with the benchmark model for example participation in village networks and measures of familiarity with the insurance vendor are strongly correlated with insurance take up decisions and risk averse households are less not more likely to purchase insurance these results may reflect household uncertainty about the product given their limited experience with it

estimating the influence of u s ethanol policy on plant investment decisions a real options analysis with two stochastic variables abstract u s ethanol policies have contributed to changes in the levels and the volatilities of revenues and costs facing ethanol firms the implications of these policies for optimal investment behavior are investigated through an extension of the real options framework that allows for the consideration of volatility in both revenue and cost components as well as the correlation between them the effects of policy affecting plant revenues dominate the effects of those policies affecting production costs in the absence of these policies much of the recent expansionary periods would have not existed and market conditions in the late 1990s would have led to some plant closures we also show that regardless of plant size u s ethanol policy has narrowed the distance between the optimal entry and exit curves implying a more narrow range of inactivity and indicative of a more volatile evolution for the industry than would have existed otherwise

the planting real option in cash rent valuation after entering into a farmland cash rent contract in the fall a tenant farmer has flexibility over the spring crop choice and the input application level failure to account for these options will bias estimates of what farmers should pay to rent land applying monte carlo simulation methods this study investigates the option values for these choices a multivariate gaussian copula mgc is employed to account for dependence among yields and prices results show that the average cash rent valuation for the real option approach is 33 6 higher than that for the conventional net present value npv method in which the input intensity option is 0 9 crop planting sequence is shown to impact the real option value

valuation and management of fishing resources under price uncertainty the traditional expected net present value methods cannot properly capture the management flexibility and strategic value aspects of a fishery and may understate its value instead this paper develops a real options model to conceptualize and evaluate fishery exploitation flexibility specifically general models to value the opportunity to either exploit or invest in a fishery are presented they suffice to determine not only these values but also the optimal policy for opening closing delaying and setting its harvest rate the sustainable case in which the harvest rate equals the natural net growth function is also considered concerning the exploitation decision it is found that as could be expected the higher the resource price the higher the value of this opportunity in both models general and sustainable however the resource stock affects both models differently as to the investment opportunity its value is always lower than the exploitation opportunity because of investment costs finally numerical simulations are run in order to illustrate the nature of the solution sensitivity analysis concerning the influence of the tax rate convenience yield risk free interest rate and price volatility on the value of the fishery is also reported

the cost of solar centric renewable portfolio standards and reducing coal power generation using arizona as a case study abstract this paper develops an econometric forecasting system of energy demand coupled with engineering economic models of energy supply the framework is used to quantify the impact of a state level renewable portfolio standard rps achieved predominately with solar generation we perform the analysis using arizona s rps as a case study over the period 2012 2035 we find if arizona implements its rps when supplying future electricity demand there will be an increase in electricity rates relative to a business as usual scenario of reliance on gas fired generation extending the current regime of tax credits greatly reduces this increase at the taxpayers expense we find that by 2025 arizona s rps will implicitly abate carbon dioxide emissions at a cost between 58 and 82 per metric ton and by 2035 abatement costs are between 22 and 69 per metric ton depending on the future evolution of nature gas prices the rps always leads to a negative impact on social welfare under low gas prices but after 2029 the welfare impact is positive under high gas prices in contrast phasing out arizona s existing coal fired generation always has positive welfare impacts

the valuation of forestry resources under stochastic prices and inventories a contingent claims approach to capital budgeting may be preferable to traditional methods where uncertainty and managers strategic reactions to changing conditions are impor tant as an example of such a case we solve the classical problem of the duration of an investment in forestry resources i e when to cut down the trees in the general case of stochastic output prices and stochastic natural growth rate and timber inventories a con tingent claims approach is used to value the forestry resources as a function of 1 sto chastic prices and inventories and 2 an asymmetric optimal production policy that incorporates the option to halt timber production temporarily i introduction classical capital budgeting techniques are based on the assumption that fu ture cash flows follow a rigid pattern and can be accurately predicted far into the future on the basis of such cash flow predictions the project is either accepted or rejected the uncertainty in the project and management s strategic reactions to changing conditions are dealt with only superficially at best a risk adjusted interest rate is employed and various deterministic scenarios are plotted out in situations where uncertainty and management s strategic reactions to it are im portant the classical technique is apt to lead to wrong decisions the technology needed to deal with such problems more accurately is becoming available the purpose of this paper is to present a stylized example of how it can be used our example is a general solution to the classical duration problem of the optimal control of a long term renewable resource investment such as forestry resources i e when to chop down a tree 1 if the prices and the natural growth rate of the inventory of forest timber are assumed to be deterministic the optimal control is very simple to derive but when both the price and inventory of timber are stochastic the problem becomes both stochastic and asymmetric the asym

financial assessment of government subsidy policy on photovoltaic systems for industrial users a case study in taiwan due to taiwan s limited energy resources the development of solar photovoltaic pv in taiwan has become one of the most important solutions for meeting future energy supply needs and ensuring environmental protection a huge amount of researches about renewable energy sources has emerged recently in response to these issues however the amount of researches considering the effects of various influential parameters on the efficiency and performance of pv systems remains small and is still limited to some specific parts of pv systems in particular researches considering thoughtfully the influence of government subsidies on pv financial assessment are still in development this paper proposes an approach to analyze the benefit of installing a pv system under the impact of government financial subsidies focusing especially on feed in tariff fit and tax abatement policies for industrial users in taiwan in addition a method for selecting the most appropriate policies is proposed for the government through the analysis of both user demand and the government s pv installation capacity target