estimates of inter fuel substitution possibilities in chinese chemical industry abstract the chemical sector is a key driver of china s remarkable growth record and accounts for about 10 of the country s gdp this has made the industry energy intensive and consequently a major contributor to greenhouse gas emissions ghg and other pollutants this study has attempted to investigate the potential for inter fuel substitution between coal oil natural gas and electricity in chinese chemical sector by employing a translog production and cost function ridge regression procedure was adopted to estimate the parameters of the function estimation results show that all energy inputs are substitutes in addition the study produces evidence that the significant role of coal in the chinese chemical fuel mix converges over time albeit slowly these results suggest that price based policies coupled with capital subsidy programs can be adopted to redirect technology use towards cleaner energy sources like electricity and natural gas hence retaining the ability to fuel the chemical sector while also mitigating ghg emissions notwithstanding one must understand that the extent to which substituting electricity for coal will be effective depends on the extent to which coal or oil is used in generating electricity the findings of this study provide general insights and underscore the importance of chinese government policies that focus on installed capacity of renewable electricity energy intensity targets as well as merger of enterprises

assessing management options for weed control with demanders and non demanders in a choice experiment the yellow floating heart is a water weed causing nuisance problems in swedish water courses an economic analysis where various management options are considered is required using a choice experiment we estimate the benefits of a weed management program and perform a cost benefit analysis in order to be able to distinguish between those who have a demand for a program from those who do not we introduce a way to distinguish demanders from non demanders in the choice experiments using a simple cost benefit rule we find that cutting the weed in certain places in the lake can be justified

serial nonparticipation in repeated discrete choice models we consider alternative econometric strategies for addressing serial nonparticipation that is repeated choice of the same alternative or same type of alternative across a series of choice occasions in data typically analyzed within the repeated discrete choice framework single and double hurdle variants of the repeated discrete choice model are developed and applied to choice experiment and multisite seasonal recreation demand data our results suggest that hurdle models can generate significant improvements in statistical fit and qualitatively different policy implications particularly in choice experiment applications where the proper treatment of serial nonparticipation is relatively more ambiguous

operations research for green logistics an overview of aspects issues contributions and challenges the worldwide economic growth of the last century has given rise to a vast consumption of goods while globalization has led to large streams of goods all over the world the production transportation storage and consumption of all these goods however have created large environmental problems today global warming created by large scale emissions of greenhouse gasses is a top environmental concern governments action groups and companies are asking for measures to counter this threat operations research has a long tradition in improving operations and especially in reducing costs in this paper we present a review that highlights the contribution of operations research to green logistics which involves the integration of environmental aspects in logistics we give a sketch of the present and possible developments focussing on design planning and control in a supply chain for transportation inventory of products and facility decisions while doing this we also indicate several areas where environmental aspects could be included in or models for logistics

application of the translog model of energy substitution to developing countries the case of korea abstract while studies exist on the applications of the translog energy model in developed countries little is known about its application in developing countries to this end this paper investigates the long run sensitivities of energy demand to price changes and the degree of interfactor and interfuel substitution in the korean industrial sector we also uniquely disaggregate the industrial sector into nine manufacturing and three non manufacturing subsectors based on time series data obtained from the korea institute of energy and resources an energy demand model has been specified and estimated according to the translog approach the conclusions provide future directions for energy demand management policies in korea

economic growth and interfactor interfuel substitution in korea this paper investigates the impact of increases in oil consumption and changes in wage rates on the interfactor interfuel substitution in korea a two stage translog cost function is estimated to incorporate the feedback effect between the interfactor and interfuel substitution empirical results show that the substitutability complementarity relationships among factors and fuels exhibit substantially different patterns before and after 1989

estimation of distance decay functions to account for substitution and spatial heterogeneity in stated preference research in a site selection choice experiment various hypotheses are tested related to spatial heterogeneity in willingness to pay wtp for environmental improvements spatial heterogeneity is measured through distance decay effects substitute sites inside and outside the experiment s choice set and spatial trend variables we demonstrate that distance decay functions differ between users and nonusers and across study sites also the distance to substitutes outside the choice set explains spatial variation in wtp we show that further extending the model with spatial trend variables reveals additional spatial heterogeneity in choices accounting for spatial heterogeneity patterns results in significantly different wtp estimates for environmental improvements jel q25 q51

modelling winners and losers in contingent valuation of public goods appropriate welfare measures and econometric analysis contingent valuation is now the most widely used method for valuing non marketed goods in cost benefit analysis yet despite the fact that many externalities manifest themselves as costs to some and benefits to others most studies restrict willingness to pay to being non negative this can result in significant errors in policymaking this paper examines the importance of this explores appropriate welfare measures for assessing losses and gains demonstrates how these can be elicited explicitly highlights the sensitivity of the results of such studies to the econometric specification employed and suggests ways of dealing with it finally the implica tions for policy are examined assessment including passive use values this technique has become the most widely used method for placing values on non marketed goods this paper examines some outstanding issues in relation to the validity of the method as a basis for policy making in particular most studies ignore the fact that many externalities manifest themselves as costs to some and benefits to others in addition the results of contingent valuation studies are often quite sensitive to the econometric specification assumed the significance of these issues is examined techniques for their resolution are outlined and the implications for public policy are highlighted the importance for economists of the debate on the validity of contingent valuation was emphasised in a series of papers from a symposium on the contingent valuation method cvm published in the journal of economic perspectives in 1994 in his paper portney 1994 predicted that whether the economics profession liked it or not the cvm would inevitably play a role in public policy formulation and therefore it was important that economists be aware of the controversies and have their say on the topic portney s prediction was correct and contingent valuation has become a routine approach to valuing environmental goods with hundreds of studies being produced each year 1 the cvm places a value on a change in the provision of a public good by asking households in a survey how much they are willing to pay for the change or the minimum compensation they would require if the change were not to happen the role that contingent valuation studies play in public policy is

the relation between energy and non energy inputs in india s manufacturing industries the purpose of this paper is to examine the substitution possibilities among energy inputs and other non energy factors of production in response to price changes we relate this study to india s manufacturing industries this is of special interest since in the recent years indian industries have been gradually moving towards a high energy intensive structure of production in 1970 71 the mining and the manufacturing sector accounted for 52 9 per cent of the total commercial energy consumed in india in coal equivalent terms 8 p 1301 in this study we compute cross and own price elasticities of demand for all inputs a knowledge of the substitution possibilities is of paramount importance in economic planning consider for instance three situations first the effect of rising energy prices will tend to raise the demand for capital if capital and energy are substitute inputs second if energy and capital are complements the higher price for energy will tend to reduce the demand for both new capital equipment and energy thus the availability of cheap and ample supply of energy is significant in determining capital intensity and the future rates of capital formation in the literature on economic development this aspect of the choice of techniques has been by and large neglected third if there are limited substitution possibilities between energy and other inputs the adjustment by industry to higher prices of energy may be quite difficult and costs of production may rise precipitously necessitating a drastic change away from energy based production techniques in section ii of this paper we discuss the technique of analysis and describe the sources of data section iii presents the results and section iv is confined to the concluding remarks

estimating energy and oil demand functions a study of thirteen developing countries abstract in this paper we attempt to identify some of the factors that have determined the level and pattern of energy demand in developing countries during the 1970s and early 1980s aggregate oil and energy demanding functions are constructed for a selection of oil importing countries and oil exporting countries the results show a strong link between income and aggregate energy demand conversely the price elasticity of energy demand is low both in the short run and the long run oil demand behaviour is more complex oil products can be rationed or domestic energy production can affect oil demand nonetheless the income elasticity remains close to one in most countries and is well above one for some

interfuel substitution a meta analysis interfuel substitutability has been of longstanding interest to the energy economics and policy community however no quantitative meta analysis has yet been carried out of this literature this paper fills this gap by analyzing a broad sample of studies of interfuel substitution in the industrial sector manufacturing industry or subindustries or macro economy of a variety of developed and developing economies publication bias is controlled for by including the primary study sample size in the meta regression results for the shadow elasticities of substitution between coal oil gas and electricity for forty six primary studies show that at the level of the industrial sector there are easy substitution possibilities between all the fuel pairs with the exception of gas electricity and coal electricity substitution possibilities seem more constrained at the macro level and less constrained in sub industries estimates also vary across countries publication bias does not seem to be present but model and data specification issues very significantly affect the estimates derived by each individual study estimates from cross section regressions are generally largest fixed effects panel estimates intermediate in magnitude and time series estimates are mostly much smaller econometric research suggests that the fixed effects estimates are likely the best among the existing studies though biased downwards

modelling energy demand of developing countries are the specific features adequately captured abstract this paper critically reviews existing energy demand forecasting methodologies highlighting the methodological diversities and developments over the past four decades in order to investigate whether the existing energy demand models are appropriate for capturing the specific features of developing countries the study finds that two types of approaches econometric and end use accounting are commonly used in the existing energy demand models although energy demand models have greatly evolved since the early seventies key issues such as the poor rich and urban rural divides traditional energy resources and differentiation between commercial and non commercial energy commodities are often poorly reflected in these models while the end use energy accounting models with detailed sectoral representations produce more realistic projections as compared to the econometric models they still suffer from huge data deficiencies especially in developing countries development and maintenance of more detailed energy databases further development of models to better reflect developing country context and institutionalizing the modelling capacity in developing countries are the key requirements for energy demand modelling to deliver richer and more reliable input to policy formulation in developing countries

using cheap talk as a test of validity in choice experiments abstract in two experiments on the choice of consumer goods the estimated marginal willingness to pay for food is found to be lower in the survey version with cheap talk our test can be seen as a test of hypothetical bias this implies that we cannot reject the hypothesis of a hypothetical bias for marginal wtp in choice experiments

estimates of energy and non energy elasticities in selected asian manufacturing sectors policy implications abstract this paper presents the results of a study of the demand elasticities for energy and non energy inputs in the food processing and textile industries in bangladesh the philippines and thailand estimates of substitution elasticities in production were derived by fitting data to a translog cost function for the period 1970 1980 for bangladesh 1970 1978 for the philippines and 1974 1977 for thailand the results varied according to the industries studied and across countries they were compared with those of several developing and industrialized countries and substitutability among inputs was found to be greater in the manufacturing sector of the developing countries studies than in those of industrialized countries the generally high elasticities between labour and energy have implications for relative input pricing and use in developing countries

performance evaluation and a flow allocation decision model for a sustainable supply chain of an apparel industry abstract there is a growing concern that business enterprises and their supply chains focus primarily on economic activities and ignore their impact on the environment and society this paper aims to help decision makers managers and practitioners to achieve economic growth societal development and environmental protection by developing sustainable supply chain performance measures and proposes a partner selection and flow allocation decision making model survey data from 278 business organizations from the indian apparel industry supply chain network were used and an integrated method of structural equation modeling fuzzy analytical hierarchy process and fuzzy multi objective linear programming was applied to the proposed model the results of the structural equation modeling analysis indicate that the survey respondents considered sustainable production performance to be of prime importance which thus indicates its significance in developing a sustainable supply chain for the apparel industry to illustrate the use of the proposed model for partner selection and flow allocation decision making real time data from an apparel manufacturer are presented optimal results were obtained for two strategies sustainability and cost saving to show a cost benefit trade off when developing a sustainable supply chain using comparative performance a decision maker can choose an appropriate strategy based on cost benefit analysis of the presented trade offs

spike models in contingent valuation spike models allow for a nonzero probability of zero willingness to pay in referendum style contingent valuation experiments they include many of the often used models as special cases and allow various analyses that are not possible in standard applications in this paper the economic rationale for the spike models and their estimation techniques are discussed and empirical illustrations are provided one study suggests that mean willingness to pay is zero and both studies strongly suggest that median wtp is zero these results have some bearing on the continuing debate of the incentive properties of hypothetical surveys and the construction of scenarios in contingent valuation experiments

valuing wetland attributes an application of choice experiments abstract the interest for wetlands is increasing not only because of the possibility of a cost efficient uptake of nutrients but also because wetlands can be designed to provide other services what values that are supplied depend largely on the design there are numerous different design options and different actors may promote different alternatives whether we want to design a wetland for nutrient retention alone or one that also serves other interests policy makers need information about the value of different options conducting a choice experiment we are able to identify attributes that increase and decrease citizens perceived value of wetlands using a random parameter model we find that biodiversity and walking facilities are the two greatest contributors to welfare while a fenced waterline and introduction of crayfish decrease welfare

understanding technological progress and input price as drivers of energy demand in manufacturing industries in india abstract this paper presents a comprehensive analysis of energy demand behaviour of seven energy intensive manufacturing industries and the aggregate manufacturing sector in india during 1973 74 to 2011 12 the policy perform achieve and trade pat has mandated energy efficiency targets for these manufacturing industries in india we focus on two major drivers of energy demand technological progress and energy price productivity growth accounting and estimation of parametric cost function using annual survey of industry data bring out important implications regarding the role of these two drivers results suggest that these industries experienced technological progress over the study period 1973 74 to 2011 12 with significant energy saving bias during 1998 99 to 2011 12 increase in energy price has led to reduction in energy demand and augmented technological progress in most of the industries energy and material inputs are mostly substitutes during 1998 99 to 2011 12 productivity growth of energy input was induced by both technological progress and increase in energy price estimates of inter factor substitution suggest that price induced reduction in energy demand can be a capital intensive process in case of some industries rebound effect has never taken back full gains of energy efficiency policies in the context of these industries

social issues in supply chains capabilities link responsibility risk opportunity and performance abstract social issues in the supply chain are defined as product or process related aspects of operations that affect human safety welfare and community development drawing from related literatures basic constructs related to capabilities and risk are defined and used to underpin case research in five multinational firms this data extended our understanding of three key social management capabilities monitoring collaboration and innovation moreover the field research revealed four key linkages that detail how managers actively can work toward mitigating social risks creating new opportunities and improving firm performance collectively these capabilities and linkages establish the basis for an integrative framework and five research propositions

barriers to massachusetts forest landowner participation in carbon markets u s forests including family owned forests are important carbon sinks and sources for carbon sequestration family forest owners constitute a significant portion of the overall forestland in the u s but little is known about their preferences for participating in carbon sequestration programs the goal of this research is to understand what motivates massachusetts family forest owners to participate in carbon markets the study estimates the probability these landowners would engage in carbon sequestration programs using data from a survey of 930 massachusetts family forest owners results from a random effects ordered probit indicate that under a carbon scenario similar to the current voluntary scheme very few of these landowners would be interested in participating supply analysis indicates these landowners are more influenced to participate by factors other than price regression analysis results suggest that survey respondents are concerned about early withdrawal penalties additionality requirements and contract length forest owner harvesting plans opinions about forest usage and beliefs about climate change all play a significant role in the decision to participate the study suggests that policy makers should consider the reasons behind these low participation rates because private forest owners could play a pivotal role in the carbon sequestration potential of forests

three laws of energy transitions the paper formulates and explores a hypothesis on three general energy transition laws the law of stable long term energy costs to income ratio the law of improving energy quality and the law of growing energy productivity these laws are essential for shaping long term projections and checking for their consistency all three are rooted in amazingly stable in time and universal across countries energy costs to income ratios limited energy purchasing power sets up thresholds which if exceeded bring asymmetry to energy demand to price elasticity the author believes that the theoretical postulate on the substantial substitution among production factors which is used in the production functions theory may be incorrect in reality innovations mainly lead to the substitution of a low quality production factor with the same yet of a better quality improving energy quality with stable costs to income ratio is accompanied by growing energy productivity energy costs to income thresholds are indicators allowing for better projections of oil prices

dealing with ignored attributes in choice experiments on valuation of sweden s environmental quality objectives using a choice experiment this paper investigates how swedish citizens value three environmental quality objectives in addition a follow up question is used to investigate whether respondents ignored any attributes when responding the resulting information is used in model estimation by restricting the individual parameters for the ignored attributes to zero when taking the shares of respondents who took both the environmental and the cost attributes 52 69 of the respondents into account then the wtp for each attribute changes if the respondents who ignored the attributes have a zero wtp at the same time we find evidence that not all respondents who claimed to have ignored an attribute really did however the most commonly ignored non monetary attributes always have the lowest rankings in terms of wtp across all three environmental objectives thus our results show that instead of ignoring attributes completely respondents seem to put less weight on the attributes they claimed to have ignored

preferences for site and environmental functions when selecting forthcoming national parks abstract a political decision to establish the first ever national parks in denmark allowed us to examine if people hold preferences regarding which site to be designated as national park separate from the preferences for its environmental functions to this end we designed a choice experiment representing the national park alternatives by the possible site and the possible improvements in environmental functions results revealed that respondents have strong preferences for the establishment of a national park per se furthermore there are significant differences in taste parameters for the different sites which cannot be explained by respondents valuing the different functions differently across sites instead we explain the results with differences in regional and cultural preferences we also performed a balanced split sample test of anchoring effects and found clear evidence of this we included a zero bidder screening question prior to the choice set part of the survey instrument to improve wtp estimation

nonparticipation or misspecification the impacts of nonparticipation on dichotomous choice contingent valuation dichotomous choice or referendum contingent valuation surveys have become the predominate choice for valuing goods and services otherwise not valued in a standard market nonmarket goods and services a number of researchers have recently recommended that dichotomous choice contingent valuation studies include a follow up question to all no responses to determine whether the no response is a result of unwillingness to pay or nonparticipation if the goal of the study is to investigate the impact of covariates on either mean willingness to pay or the probability of nonparticipation simple identification of indifferent individuals will not suffice a simulation study shows that existing econometric models designed to account for nonparticipation are extremely sensitive to misspecification bias accurate identification of the probability of nonparticipation is hampered by potential misspecification of the distribution of willingness to pay

heterogeneous preferences regarding global climate change we examine the structure of preferences for mitigating impacts of global climate change that will not occur during the lifetimes of most who are alive today because no market data exist for such distant markets a statedpreference approach is used the analysis is based on the random parameters logit model and the results indicate substantial heterogeneity in respondent preferences that mean willingness to pay is a significant and increasing function of the scope of the impact and provocatively that respondents have the same preferences over the two very different time horizons that we consider e examine the structure of preferences for mitigating impacts of global climate change that will not occur during the lifetimes of most who are alive today studies using current market data have estimated the potential costs of climate change on agriculture mendelsohn nordhaus shaw 1994 and on other aspects of measured production nordhaus 1994 but market data can not reveal the willingness of those currently alive to pay for measures to mitigate impacts that may not happen for 100 years or more there is serious public discussion involving diplomats at the highest levels about measures to mitigate emissions that would cost the united states alone 100 to 200 billion dollars annually therefore estimating the willingness of those currently alive to pay for mitigation measures is not a fanciful exercise but rather a crucial effort to determine how much mitigation should be undertaken it is the preferences of those alive today regarding acceptable levels of climate impacts and not the unknowable preferences of those who do not yet exist that will ultimately determine how much mitigation we pursue in the next quarter century as this question cannot be answered with market data we use the stated preference sp approach and elicit preferences for preventing climate change induced impacts a host of climate change impacts have been enumerated this study focuses on one type of impact that may be important but has received little attention from economists scientists have predicted that widespread ecosystem shifts may accompany changes in climate vemap 1995 ecosys tem shifts are likely to evolve slowly indicating that lost use values are likely to be small for those alive today yet the public may still be willing and asked to pay for mitigation measures that are designed to slow the transformation of ecosystems the current debate over climate change demon strates two things the first is that some people do care about long term changes that will never affect them or perhaps even their children the second is that preferences regarding the impacts of climate change are very heterogeneous as other members of the public appear much less concerned long term horizons combined with heterogeneous prefer ences makes ecosystem shifts a useful place to begin analyzing preferences for mitigating climate change im pacts a stated preference survey was designed that asked respondents to choose their most preferred program to reduce ecological impacts from a set menu of five or six different programs the programs varied in terms of costs the degree of ecosystem change and in the mitigation method four different menus provided to each respondent yielded four distinct valuation responses section ii de scribes the random parameters logit model for repeated choices that allows for a flexible correlation structure based on heterogeneous preferences the ecosystem change and the stated preference survey are discussed in section iii in section iv we estimate the random parameters model and estimate the willingness to pay to prevent various levels of ecosystem change section v concludes with a discussion of how the scope of the impact preference heterogeneity and the time horizon affect willingness to pay