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

the effectiveness of leniency programs when firms choose the degree of collusion abstract an antitrust authority grants leniency pre and post investigation it chooses the probability of an investigation firms pick the degree of collusion the more they collude the higher are profits but so is the probability of detection firms thus trade off higher profits against higher expected fines if firms are sufficiently patient leniency is ineffective it may even increase collusion increasing the probability of an investigation at low levels does not increase deterrence increasing the probability of an investigation at high levels reduces collusion yet never completely with bare pre investigation leniency deterrence is better than without leniency if firms are sufficiently impatient granting leniency pre and post is better than merely pre investigation

business models for distributed energy resources a review and empirical analysis this paper presents a novel empirical analysis of the most common business models for the deployment of demand response and energy management systems electricity and thermal storage and solar pv distributed energy resources we classify the revenue streams customer segments electricity services provided and resources for 144 business models we use this assessment to identify a set of business model archetypes in each resource category our analysis leads us to five observations that have important implications for policymakers and regulators first our analysis highlights that business models are deeply embedded in myriad policy and regulatory frameworks second current der business models are driven more by regulatory and policy factors than by technological factors third the relatively small set of well defined der business model archetypes suggests that the determinants of success within a given archetype may include executional capabilities culture and other activities that are not captured in our framework fourth continued cost declines technological innovation and changing policy and regulatory landscapes mean the business models of tomorrow will likely look very different than the business models of today finally der business models compete within archetypes for market share in providing a limited set of electricity services

site aggregation in a random utility model of recreation random utility models are commonly used to model the choice among a set of alternatives often due to data or computational constraints the analyst must use aggregated alternatives to estimate the model these aggregates are defined by averaging characteristics of alternatives over prespecified groups in this analysis we demonstrate that unless some very restrictive conditions hold the use of aggregated alternatives will lead to biased results then using a data set of recreational fishing in wisconsin we show the effects that this bias can have on the results estimated from the model

estimating fishing and hunting leisure spending shares in the united states abstract we apply a bivariate censored demand system to estimate hunting and fishing trip related spending shares in the united states using data from off site surveys the approach considers fishing and hunting destination decisions and includes respondents who were inactive i e did not hunt or fished in a particular season the statistical significance of correlation coefficient parameter supports the use of a joint e g bivariate rather than separate e g univariate decision modeling process for fishing or hunting share equations most individual characteristics are statistically significant as explanatory variables respondents holding recreation licenses tended to spend significantly more on recreation than those without licenses all own price and cross price elasticities are statistically significant and suggest that hunting and fishing are complements the results also suggest that the popularity of hunting may decline as the population ages

on the design of leniency programs abstractleniency programs contribute to destabilizing collusion but can also be abused and generate perverse effects this paper develops a simple model capturing this trade off which we use to relate the optimal leniency policy the carrot to the effectiveness of investigations the stick we show that it is always desirable to offer some leniency before an investigation is launched it is also optimal to offer some leniency once an investigation is underway when investigations are unlikely to succeed in uncovering cartels absent self reporting our analysis also confirms the usefulness of restricting leniency to the first informant only in contrast it does not support prohibiting leniency for repeat offenders

sustainable business models as boundary spanning systems of value transfers abstract sustainable innovation requires collaboration across organizational boundaries hence in this research we take a boundary spanning perspective on the business model this perspective focuses on how value is created and captured across organizational boundaries by investigating the value transfers between the focal organization and the external network of business model actors we analyze the business models of 64 innovative sustainable organizations from the netherlands in terms of how environmental and social sustainability is manifested in the content structure and governance of their business models we find that environmental sustainability is mainly represented in value creation content whereas social sustainability is achieved by serving underprivileged user groups and mainly is reflected in value capture content we observe that social sustainability in both for profit and non profit organizations is often achieved by having an imbalance in value exchanges that is compensated elsewhere in the business model in terms of business model structure we show that sustainable organizations use the same underlying business model structures as can be found in conventional firms all in all we demonstrate that analyzing the environmental and social sustainability of organizations using the boundary spanning perspective on business models provides complementary insights to the traditional component based view of the business model

fines leniency and rewards in antitrust this article reports results from an experiment studying how fines leniency and rewards for whistleblowers affect cartel formation and prices antitrust without leniency reduces cartel formation but increases cartel prices subjects use costly fines as punishments leniency improves antitrust by strengthening deterrence but stabilizes surviving cartels subjects appear to anticipate the lower postconviction prices after reports leniency with rewards prices fall at the competitive level overall our results suggest a strong cartel deterrence potential for well run leniency and reward schemes these findings may also be relevant for similar white collar organized crimes such as corruption and fraud

money not morale the impact of desires and beliefs on private investment in photovoltaic citizen participation initiatives abstract a transition towards renewable energy production is one proposed solution as one means of reducing greenhouse gas emissions in this regard photovoltaic citizen participation initiatives are a cornerstone in fostering the diffusion of renewables allowing for active citizen engagement this article investigates the drivers behind people s decision to participate in two selected austrian citizen participation initiatives in the field of photovoltaics based on a survey of 870 potential adopters in addition to commonly used indicators variables assessing both people s desires their goals or preferences with respect to energy autonomy environmental protection financial aspects etc and their beliefs how likely they think their participation in a citizen participation initiative in the field of photovoltaics will help them achieve these goals are also included in the analysis the findings show that people s desires are not decisive in deciding on pv participation and that financial beliefs are the main driver behind joining such an initiative this focus on financial gain clearly poses a risk in any attempted transition towards renewable energy production as it indicates that adopters may withdraw from participation as soon as a more attractive investment opportunity becomes available it also indicates that subsidized feed in tariffs are likely to be essential in any long term transition policy

renewable micro generation of heat and electricity review on common and missing socio technical configurations abstract a widespread adoption of distributed generation dg technologies in energy systems can play a key role in creating clean reliable energy and support the targets of emission reduction a transition from current modes of production to a significant deployment of renewable energy technologies can fundamentally affect the structure of the industry and change the way energy is produced transmitted and sold the current paper provides an extended review of the socio technical configurations of micro generation based on journal publications and reports during the 21st century the paper analyses currently existing and missing configurations and discusses technology and policy implications to support proliferation of micro generation technology and local energy production from renewable sources the potential for new configurations can be found particularly in heat producing micro generation with solar heat heat pumps and biomass developing further the operations and maintenance of distributed generation technologies and business models appears an area that calls for further innovation and corresponding innovation policy measures third party service and community driven deployment models can aide the proliferation of distributed generation and further innovation therein justifying the introduction of feed in tariffs to attract such models during their early diffusion

modeling the birth and death of cartels with an application to evaluating competition policy one of the primary challenges to measuring the impact of antitrust policy on collusion is that the cartel population is unobservable we observe only the population of discovered cartels to address this challenge a model of cartel creation and dissolution is developed to endogenously derive the populations of cartels and discovered cartels it is then shown how one can infer the impact of antitrust policy on the population of cartels by measuring its impact on the population of discovered cartels in particular the change in the distribution on the duration of discovered cartels could be informative in assessing whether a new antitrust policy is reducing the latent rate of cartels

corporate leniency programs when firms have private information the push of prosecution and the pull of pre emption a corporate leniency program provides relief from government penalties to the first member of a cartel to come forward and cooperate with the authorities this study explores the incentives to apply for leniency when each cartel member has private information as to the likelihood that the competition authority will be able to convict them without a cooperating firm a firm may apply for leniency because it fears being convicted prosecution effect or because it fears another firm will apply pre emption effect policies by the competition authority to magnify concerns about pre emption and thereby induce greater use of the leniency program are also explored

a structural equations approach to modeling consumptive recreation demand abstract in this analysis we develop a two equation structural model of a count travel cost model of recreational angling demand and angling success by modeling the two equations jointly we avoid the difficulties associated with the usual approach which estimates the demand for recreational fishing sites assuming the existence of an exogenous measure of fishing quality our analysis explicitly develops the joint log likelihood function that combines the two processes we estimate our model using full information maximum likelihood methods

measurement error in recreation demand models the joint estimation of participation site choice and site characteristics abstract in the demand for recreational fishing sites an important explanatory variable differentiating sites is the unobserved expected catch rate since the observed catch rate is subject to sampling variability using the average of a site s observed catch rates causes the parameter estimator on catch to be biased downward we develop and demonstrate a solution to this errors in variables problem when there are repeated measurements on the catch rate consistent and efficient estimates of both the demand parameters and the expected catch rates are obtained by simultaneously estimating them by maximum likelihood an empirical example demonstrates the importance of simultaneous estimation

business models as drivers of the low carbon power system transition a multi level perspective abstract decarbonising the electrical power system holds a critical role in climate change mitigation recent developments in technology are helping change the current centralized paradigm into one of integrated distributed clean energy resources in spite of these developments radical transformation is not occurring at a speed to effectively meet environmental targets mostly due to the incumbent carbon lock in trajectory we argue that business model bm innovation dynamics are key drivers in accelerating the low carbon power system transition often operating irrespective of the underlying technology we combine bm theory with the multi level perspective on sociotechnical transitions to present a useful framework to analyze this potential transition this paper presents the application of this framework characterizing relevant bm dynamics of niche and regime business actors and supporting these with illustrative examples particularly we find that new actors in the distributed energy business are achieving market scale by offering financially innovative bms that do not require upfront costs from customers higher penetrations of renewable energy sources in liberalized electricity markets are destabilizing the historical bm of large centralized utilities through erosion of wholesale prices furthermore a shift towards distributed and dynamic energy resources further challenges incumbents and might bring opportunities for bms focused on active customer participation and social value creation as these tendencies are expected to accelerate we find analyses of bms will have important relevance for future power system transition research

optimal cartel pricing in the presence of an antitrust authority the dynamic behavior of a price fixing cartel is explored when it is concerned about creating suspicions that a cartel has formed consistent with preceding static theories the cartel s steady state price is decreasing in the damage multiple and the probability of detection however contrary to those theories it is independent of the level of fixed fines it is also shown that the cartel prices higher when a more competitive benchmark price is used in calculating damages

two stage estimation to control for unobservables in a recreation demand model with unvisited sites the role of unobserved site attributes is a growing concern in recreation demand modeling one solution in random utility models rums involves separating estimation into two stages where the rum is estimated with alternative specific constants ascs in the first stage and the estimated ascs are regressed on the observed site attributes in the second stage prior work estimates the second stage with ordinary least squares ols and two stage least squares regression we present an application with censored regression in the second stage we show ols produces inconsistent parameters when there are unvisited sites with no estimable ascs and that censored regression avoids this problem

solar pv where the sun doesn t shine estimating the economic impacts of support schemes for residential pv with detailed net demand profiling abstract countries with low irradiation and solar pv adoption rates are increasingly considering policy support for solar pv although consumer electricity demand and solar generation profiles are often mismatched this paper presents a methodology for policymakers in such conditions to examine more precisely the financial performance of residential solar pv from the consumer perspective as part of an ex ante policy assessment we model a range of prospective policy scenarios and compare policy mechanisms that compensate homeowners for generation those that reduce their upfront costs and those that assist with financing using ireland as a case study the results confirm the intuitive notion that more generous financial remuneration schemes provide quicker payback however we observe that in low irradiance regions there is little difference between upfront grants and feed in tariffs to accelerate payback timeframes we also show the importance of retail tariff structure in consumer payback for solar pv systems with one part tariffs generating shorter paybacks than two part tariff structures although the latter is more likely to secure revenue for electricity infrastructure investment drawing from this analysis the paper proposes some options for the design of policy supports and tariff structures to deliver a sustainable residential renewable electricity system in low irradiance regions

measuring angling quality in count data models of recreational fishing a non nested test of three approaches this paper develops a methodology for investigating different specifications of angling quality in recreational demand models the methodology is used to compare three alternative specifications of the relationship between angling demand and site quality the site quality alternatives include chemical concentrations biological stress indices based on the chemicals and catch per unit effort the three alternatives are differentiated using a likelihood ratio non nested testing procedure

estimating social welfare using count data models an application to long run recreation demand under conditions of endogenous stratification and truncation this paper develops a negative binomial model of recreation demand that corrects for both truncation and endogenous stratification this approach recovers the demand associated with the general population not just the users of the site this model demonstrates the importance of the joint nature of the population s latent demand for trips and the consumer surplus associated with those trips the empirical results provide an estimate of the willingness to pay by washington state residents for hiking opportunities in the cascade mountain range these results are used to forecast total trips and willingness to pay over the next forty years copyright 1995 by mit press

the deterrent effect of antitrust enforcement in this paper we formulate and test a model of collusive pricing in the presence of antitrust enforcement we show that a cartel s optimal price is likely to be neither the competitive price nor the price that the cartel would set in the absence of antitrust enforcement but rather an intermediate price that depends on the levels of antitrust enforcement efforts and penalties our empirical results reveal that increasing antitrust enforcement in the presence of a credible threat of large damage awards has the deterrent effect of reducing mark ups in the bread industry

valuing the benefits of coastal water quality improvements using contingent and real behaviour recent moves in the european union have beenmade towards a toughening of legislation onbathing water quality this has focussedpolicy makers thoughts on the welfare benefitsresulting from such improvements especiallygiven their cost our paper uses a combinedstated and revealed preference approach tovalue coastal water quality improvements focussing on an area of scotland which hasconsistently failed to meet standards under thebathing waters directive we combine data onreal behaviour with data on contingentbehaviour using a random effects negativebinomial panel model this allows us to predictboth the change in participation trips shouldwater quality be improved and the welfareincrease per trip our model includes allowancefor the existence of substitute sites and forchanges in recreational behaviour during abeach visit

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

breakthrough without subsidies pv business model experiments in the netherlands despite a lack of steady governmental support for pv in the netherlands over the last decade from 2008 onwards an increased number of initiatives started experimenting with new business models for pv though absolute numbers of installed capacity are still low this is a promising sign in this article we aim to contribute to the understanding of these developments by using insights from both business model and transition studies literature i e strategic niche management by performing a literature study and a series of interviews we found three main types of business models customer owned community shares and third party financial viability of these was found to be heavily dependent on net metering regulations which are surrounded by uncertainty and struggle about its meaning and application also the overall pv niche is maturing we found several local and national organizations lobbying for expansion of the space for pv business model experiments and enabling knowledge sharing and networking between initiatives furthermore a number of regime players is getting involved in the pv niche considering the current economic turndown and related subsidy cuts in many other countries we believe the netherlands with its relatively poor and unstable support system could serve as an example

calibrating benefit function transfer to assess the conservation reserve program benefit transfer offers an inexpensive alternative to conducting an original study to determine economic value unfortunately benefit transfers can also result in biased welfare estimates in this paper we suggest a method of calibrating the benefit transfer to reduce this bias an empirical example to determine the benefits of the conservation reserve program on water based recreation illustrates the potentially large biases that can result if the transfer is not calibrated

three is a crowd exploring the potential of crowdfunding for renewable energy in the netherlands there is a huge gap between demand and supply of finance for energy transitions and the financial and economic crisis have had a negative impact in the already meagre funds for transforming the energy system towards renewable sources in this paper we explore whether crowdfunding for renewable energy as a novel sociotechnical practice developed in a niche has the potential to break through and transform both the energy and the financial regimes utilising the multi level perspective theory we empirically investigate crowdfunding platforms linked to renewable electricity projects in the netherlands the main conclusion is that the volume of crowdfunding today is low but the dynamic of these projects holds potential there is limited indication of learning processes until now as well as limited support from regime actors pointing at a low level of niche stabilization and break through potential which may however be related to the early stage of development of crowdfunding in the netherlands on the other hand the heterogeneity of crowdfunders is very promising platforms dedicated to renewable electricity exclusively and with an investment based business model seem to be the most successful we show how governmental market regulation and support mechanisms are shaping crowdfunding as a business model and discuss the implications for other countries

solar energy markets economics and policies abstract solar energy has experienced phenomenal growth in recent years due to both technological improvements resulting in cost reductions and government policies supportive of renewable energy development and utilization this study analyzes the technical economic and policy aspects of solar energy development and deployment while the cost of solar energy has declined rapidly in the recent past it still remains much higher than the cost of conventional energy technologies like other renewable energy technologies solar energy benefits from fiscal and regulatory incentives including tax credits and exemptions feed in tariff preferential interest rates renewable portfolio standards and voluntary green power programs in many countries the emerging carbon credit markets are expected to provide additional incentives to solar energy deployment however the scale of incentives provided by the existing carbon market instruments such as the clean development mechanism of the kyoto protocol is limited despite the huge technical potential the development and large scale deployment of solar energy technologies world wide still has to overcome a number of technical financial regulatory and institutional barriers the continuation of policy supports might be necessary for several decades to maintain and enhance the growth of solar energy in both developed and developing countries

strategic leniency and cartel enforcement the cornerstone of cartel enforcement in the united states and elsewhere is a commitment to the lenient prosecution of early confessors a burgeoning game theoretical literature is ambiguous regarding the impacts of leniency i develop a theoretical model of cartel behavior that provides empirical predictions and moment conditions and apply the model to the complete set of indictments and information reports issued over a 20 year span statistical tests are consistent with the notion that leniency enhances deterrence and detection capabilities the results have implications for market efficiency and enforcement efforts against cartels and other forms of organized crime jel d43 l12 l13 k21 in 1993 the department of justice doj introduced a new leniency program with the intent of destabilizing existing cartels and deterring new cartels the program commits the doj to the lenient prosecution of early confessors in particular it guarantees complete amnesty from federal prosecution to the first confessor from each cartel provided that an investigation into the confes sor s cartel is not already underway it also offers discretionary penalty reductions to conspirators who confess when an investigation is already ongoing the new leniency program has become the cornerstone of cartel enforcement efforts in the united states e g scott d hammond 2004 and recently has inspired antitrust authorities in australia canada the european union japan south korea and elsewhere to introduce similar programs oecd 2002 2003 this paper tests the efficacy of the new leniency program the results have implications for market efficiency and enforcement efforts against cartels and other forms of organized crime a burgeoning game theoretical literature is ambiguous regarding the impacts of leniency a common finding is that leniency may destabilize cartels because conspirators can simultane

subsidies for residential solar photovoltaic energy systems in western australia distributional procedural and outcome justice governments seek to increase renewable energy capacity by providing subsidies to householders opting to install residential solar energy photovoltaic systems the funds used to pay for these subsidies are sourced from tax revenue or electricity tariffs paid by all community members including those on a low income this sees a redistribution of funds from all community members to installers of residential solar energy systems this research compared community attitudes towards distributional justice or the fairness of this redistribution of funds with outcome justice associated with the environmental benefits of renewable energy a randomised survey distributed in four metropolitan and two regional communities in western australian resulted in 295 responses a response rate of 22 33 of community members prioritised distributional justice 30 prioritised outcome justice and 37 indicated that they were unsure about their preference however support for renewable energy was found with 80 of respondents supportive of renewable energy subsidies and 68 supportive of renewable energy taxation including in electricity tariffs qualitative comments indicate that in spite of the preoccupation with distributional justice in the residential solar energy literature community members are concerned with procedural justice issues in this case procedural justice can be interpreted as government commitment to existing policy the expanded scope of renewable energy policy and enhanced regulations

the economics of fish consumption advisories insights from revealed and stated preference data measuring how fish consumption advisories affect angler s utility has proven difficult relying on stated preference sp data is problematic because of hypothetical bias revealed preference rp data benefits from using actual behavior however co linearity often makes it difficult to model the array of advisory severity levels across different species and catch rates the array of advisories also makes traditional joint estimation impractical this paper describes an alternative joint estimation technique based on an index of sp parameter that we used for estimating the effect of fish consumption advisories on the fox river green bay

modeling hunting demand in the presence of a bag limit with tests of alternative specifications abstract bag limits complicate the measurement of consumer surplus from hunting because the point at which hunters cease taking trips is not necessarily the point at which they are unwilling to pay for additional hunting trips we develop and apply an econometric model which accounts for bag limits to data of deer hunting in california and we employ several alternative models that do not account for the bag limit we conduct non nested testing of the models and estimate welfare measures at existing conditions and after a quality improvement confidence intervals are provided for the welfare measurements

sea bass angling in ireland a structural equation model of catch and effort abstract the relationship between angling effort and catch is well recognised in particular that effort influences catch rates but increased catch which can be considered an attribute of fishery quality may influence effort in terms of number of fishing trips this suggests bi directional feedback between catch and effort in many travel cost applications little attention has been given to this endogeneity problem in this paper we expand the application of structural equation models to address this issue by jointly estimating demand effort and catch functions using a cross section dataset of sea bass anglers we propose two separate joint models first we include expected catch as an explanatory variable in the demand equation in the second we reverse the causality and use the expected number of fishing days as a covariate in the catch function the two approaches produce similar model estimates and perform better at predicting anglers catch and effort than standard models the findings confirm that sea bass angling is highly valued with a consumer surplus of about 282 318 per angler per day though this is likely to be biased upwards furthermore higher catches result in more days fished on average in a 2 1 ratio whereas on average an additional fishing day results in 3 4 additional bass caught

cartel pricing dynamics in the presence of an antitrust authority cartel pricing is characterized when firms are concerned about creating suspicions that a cartel has formed balancing concerns about maintaining the stability of the cartel with those of avoiding detection the cartel may either i gradually raise price to its steady state level or ii gradually raise price and then have it decline to its steady state level antitrust laws may have a perverse effect as they make cartel stability easier and thus allow for higher cartel prices

business model innovation in electricity supply markets the role of complex value in the united kingdom this research investigates the new opportunities that business model innovations are creating in electricity supply markets at the sub national scale these local supply business models can offer significant benefits to the electricity system but also generate economic social and environmental values that are not well accounted for in current policy or regulation this paper uses the uk electricity supply market to investigate new business models which rely on more complex value propositions than the incumbent utility model nine archetypal local supply business models are identified and their value propositions value capture methods and barriers to market entry are analysed this analysis defines complex value as a key concept in understanding business model innovation in the energy sector the process of complex value identification poses a challenge to energy researchers commercial firms and policymakers in liberalised markets to investigate the opportunities for system efficiency and diverse outcomes that new supplier business models can offer to the electricity system

using count data models in travel cost analysis with aggregate data estimators of recreational demand models frequently use continuous functional forms such as ordinary least squares ols on log transformed variables e g ziemer musser and hill however the nature of trip demand introduces complicating factors first trips occur in nonnegative quantities failure to control for this censoring will lead to biased estimation second because trips are available only in integer quantities the usual demand models which correlate marginal quantity with marginal price may be inapplicable in light of these factors a natural alternative is to use statistical models that explicitly recognize the count nature of trip demand several recent papers e g shaw smith grogger and carson creel and loomis have applied count models to the travel cost model these works largely have focused on truncated data sets based on choice based samples in this study the focus is on the older problem where zero demanders are included in particular the application of several robust estimators of count models to aggregated data will be considered the poisson distribution forms the foundation for the count models examined in this study although the poisson is a convenient distribution to work with it imposes some stringent constraints on the demand distribution in particular the poisson distribution assumes the variance of trip demand is equal to the expected value of trip demand to loosen these constraints a generalization of the poisson the negative binomial is discussed robust estimation procedures that permit further loosening of a priori assumptions are then reviewed permit data from the boundary waters canoe area are used to examine the effects of these count models on consumer surplus estimates and on coefficient variability

a dual approach to modeling corner solutions in recreation demand abstract the dual approach of lee and pitt to estimating demand systems for which individuals often choose not to consume one or more of the available goods provides a utility consistent framework for estimating preferences over visits to recreation sites because of the complexity of the model however this approach has not been applied in the recreation demand literature this paper provides the first application of the model to recreation demand and develops a methodology for conducting welfare analysis relying on monte carlo integration to derive estimates of compensating variation the methods are applied to the demand for fishing in the wisconsin great lakes region

how renewables will change electricity markets in the next five years photovoltaic pv cells onshore wind turbines internet technologies and storage technologies have the potential to fundamentally change electricity markets in the years ahead photovoltaic cells are the most disruptive energy technology as they allow consumers of all sizes to produce power by themselves new actors in the power market can begin operating with a new bottom up control logic unsubsidised pv markets may start to take off in 2013 fuelling substantial growth where pv power is getting cheaper than grid or diesel backup electricity for commercial consumers managing loads and achieving a good match between power consumption and weather dependent power production will likely become a key issue this consumption production balance may trigger massive innovation and investment in energy management technologies involving different kinds of storage and controls increasing autonomy and flexibility of consumers challenges the top down control logic of traditional power supply and pushes for a more decentralised and multi layered system how rapidly and smoothly this transformation occurs depends to a large extent on the adaptation speed of the regulatory framework and on the ability of market players to develop appropriate business models the paper discusses conflicts of interest hurdles and drivers opportunities and traps for this perspective

using non market valuation to inform the choice between permits and fees in environmental regulation the purpose of this short note is to open an exploration regarding the use of non market valuation to help guide the selection of economically efficient pollution control instruments as long as non market valuation techniques can correctly estimate the slope of the marginal benefit of abatement curve this information along with engineering cost estimates of the unit costs or slope of the marginal abatement cost will provide useful information to policy makers in choosing between fees and permits an illustrative review of the literature suggests that both stated and revealed preference methods have estimated slopes of marginal benefit functions for reducing several pollutants to investigate the efficiency of permits versus fees an illustrative review of corresponding marginal abatement costs is also made for air pollutants affecting visibility the slope of the marginal benefit curve is far greater than the slope of the marginal abatement costs suggesting permits as the efficient instrument for nitrates in groundwater used for drinking the marginal benefit curve is flatter than the rather steep marginal abatement cost suggesting fees taxes would be a more efficient economic instrument we hope this note stimulates more emphasis in non market valuation on estimating the slope of the marginal benefit function to enhance environmental economists ability to make policy recommendations regarding the choice of pollution instruments for specific pollutants

benefit transfer via preference calibration prudential algebra for policy this paper proposes a new approach to benefit transfer the method assumes a specific form for preferences and uses available benefit information to identify and calibrate the preference parameters to match the existing benefit estimates this approach assures economic consistency of the transfers benefit measures can never be inconsistent with household income the logic also offers a series of potentially observable predictions that can be used to gauge the plausibility of benefit transfers when multiple benefit estimates from different methods are available such as hedonic property value travel cost demand and contingent valuation the framework uses the definition of the benefit concept from each method in a single preference function to reconcile differences it provides a specific way to take account of baseline conditions and scope effects i e the size of the proposed change consistently in the transfer the method is illustrated using estimates for benefit measure changes in water quality from three studies travel cost demand hedonic property value and contingent valuation analysis q26

brand choice and purchase frequency revisited an application to recreation behavior the role that total purchases play in determining the choice among brands has been considered in microeconomic theory for quite some time but for traditional goods only consumption of outdoor recreation is an unusual good most often measured using an individual s recreational trip adding the trips made on a number of choice occasions seems the obvious way to aggregate this good but doing so leads to several problems in defining a meaningful price index the hicks leontief conditions for aggregation suggest that trips to destinations may be thought of as brand choices on consumption occasions andthe continuous analogue to total purchases may in fact be the individual s total travel an empirical example of the model is used to estimate welfare impacts for a group of anglers

a comparison of contingent valuation method and random utility model estimates of the value of avoiding reductions in king mackerel bag limits this paper estimates the value of king mackerel bag limit changes with both stated and revealed preference methods the 1997 marine recreational fishery statistical survey allows estimation of the value of avoiding bag limit reductions with the random utility model and the contingent valuation method using the contingent valuation method the willingness to pay to avoid a one fish reduction in the bag limit is 2 45 per year using the random utility model the willingness to pay to avoid a one fish reduction in the bag limit is 2 24 per trip and 7 71 for a two month time period considering several methodological issues the difference in willingness to pay between the stated and revealed preference methods is in the expected direction

does enforcement deter cartels a tale of two tails this paper investigates the deterrent impact of anti cartel enforcement it is shown theoretically that if enforcement is effective in deterring and constraining cartels then there will be fewer cartels with low overcharges and fewer with high overcharges this prediction provides an indirect method for testing whether the enforcement of competition law is effective using historical data on legal cartels to generate the counterfactual we find significantly less mass in the tails of the overcharge distribution compared to illegal cartels this result is robust to controlling for confounding factors and we interpret this as the first tentative confirmation of effective deterrence

an expected profit model for monetizing fishing location choices abstract we develop and analyze the properties of a new type of discrete choice model which jointly estimates the expected value of catch and location choice this model implicitly monetizes location choices and can be used to predict costs and effort redistribution of creating marine protected areas or of implementing other policy changes that either increase travel costs or alter expected revenue we illustrate our approach by considering the closing of the steller sea lion conservation area in the united states bering sea to pollock fishing

prosecution and leniency programs the role of bluffing in opening investigations this paper characterizes the optimal investigation and leniency policies when the competition authority is privately informed about the strength of a cartel case i show that the competition authority can then exploit firms uncertainty about the risk of conviction to obtain confessions even when the case is weak more generally i show that offering full leniency allows the competition authority to open more successful investigations what i refer to as the activism effect of leniency which overall raises both cartel desistance and cartel deterrence finally i discuss the policy implications of the model

optimal corporate leniency programs this study characterizes the corporate leniency policy that minimizes the frequency with which collusion occurs though it can be optimal to provide only partial leniency plausible sufficient conditions are provided whereby the antitrust authority should waive all penalties for the first firm to come forward it is also shown that restrictions should be placed on when amnesty is awarded though it can be optimal to award amnesty even when the antitrust authority is very likely to win the case without insider testimony