renewable energy non renewable energy and economic growth in brazil this study employs brazil s yearly statistics from 1980 to 2010 to explore the causal relationships between the real gdp and four types of energy consumption non hydroelectric renewable energy consumption nhrec total renewable energy consumption trec non renewable energy consumption nrec and the total primary energy consumption tec the cointegration test reveals a long run equilibrium among brazil s real gdp labour capital and each of the four types of consumption the development of the brazilian economy has close ties with capital formation and labour force the influence of nhrec trec on real output is positive and significant while the impacts by nrec tec are insignificant the results from the vector error correction models reveal a unidirectional causality from nhrec to economic growth a bidirectional causality between economic growth and trec and a unidirectional causality from economic growth to nrec or tec without feedback in the long run these findings suggest that brazil is an energy independent economy and that economic growth is crucial in providing the necessary resources for sustainable development expanding renewable energy would not only enhance brazil s economic growth and curb the deterioration of the environment but also create an opportunity for a leadership role in the international system and improve brazil s competition with more developed countries

the impact of renewable energy consumption to economic growth a panel data application internationally the importance of renewable energy in the energy mix has been increasingly appreciated the advantages of the renewable energy usage for the world s energy security and the environment are indisputable and much discussed in the literature however its effects on the economic welfare of the countries are yet to be examined fully and described quantitatively the purpose of this paper is to estimate the impact of the renewable energy consumption to economic welfare by employing panel data techniques the results show that the influence of renewable energy consumption or its share to the total energy mix to economic growth is positive and statistically significant from a policy point of view promoting renewable energies bears benefits not only for the environment but also for the economic conditions of the countries

a multivariate cointegrated modelling approach in testing temporal causality between energy consumption real income and prices with an application to two asian ldcs unlike previous studies on the casual relationship between energy consumption and economic growth this paper illustrates how the finding of cointegration i e long term equilibrium relationship between these variables may be used in testing granger causality based on the most recent johansen s multiple cointegration tests preceded by various unit root or nonstationarity tests we test for cointegration between total energy consumption real income and price level of two asian ldcs thailand and sri lanka nonrejection of cointegration between variables rules out granger noncausality and implies at least one way of granger causality either unidirectional or bidirectional secondly by using a dynamic vector error correction model we then analyse the direction of granger causation and hence the within sample grangerexogeneity or endogeneity of each of the variables thirdly the relative strength of the causality is gauged through the dynamic variance decomposition technique by decomposing the total

a first empirical comparison of energy footprints embodied in trade mrio versus plum abstract the ecological footprint as an indicator that accounts for human demand on global bioproductivity sets out to quantify the impacts associated with consumption in a given country including the impacts associated with trade the national footprint accounts nfa by global footprint network gfn calculate trade embodied footprints by multiplying yield and embodied energy factors with mass volumes of traded goods in a product land use matrix plum this article compares energy footprints embodied in trade from and to the united kingdom in 2002 as calculated by the nfa plum with the results from a recently developed multi region input output model mrio for the uk although totals for imports and exports are comparable breaking down the results by economic sectors reveals large differences and hardly any correlation between the two methods the omission of trade in services especially transport services and upstream impacts of energy goods fossil fuels and the use of inappropriate embodied energy factors in the nfa plum method are identified as the main reasons for these differences in the light of the results it seems that a comprehensive footprint account of trade can better be achieved with an input output based approach i conclude that mrio models once fully developed will be particularly suitable in the future to estimate the ecological footprints of imports and exports of nations with the possibility to track their origin via inter industry linkages international supply chains and multi national trade flows

disaggregate energy consumption employment and income in turkey the purpose of this paper is to contribute to literature on energy consumption and economic growth relationship by examining how much of the variance in national income growth can be explained by the growth of different sources of energy consumption and employment in turkey we use the recently developed generalized forecast error variance decomposition technique of koop et al j econom 74 1996 119 and pesaran and shin econ lett 58 1998 17 to determine the information content of the growth rate of energy consumption waste seems to have the largest initial impact followed by oil however over a 3 year horizon lignite appears to explain the largest forecast error variance of gdp the total energy consumption explains 21 of forecast error variance of gdp energy consumption appears to be almost as important as employment in turkey therefore policy makers may be interested in identifying the energy dependencies of economic growth in allocating the energy investment budget

international trade in biofuels an introduction to the special issue abstract currently many countries are establishing goals for substituting biofuels for fossil fuels these goals usually foresee 5 10 substitution while today s production in most countries is far below 2 evidently many countries will seek to meet their ambitious biofuel targets through imports this global trade in biofuels which is to some extent already taking place will have a major impact not only on other commodity markets like vegetable oils or animal fodder but also on the global land use change and on environmental impacts this special issue focuses on the relation between trading policy making and sustainability impacts of biofuels it demonstrates the strong but complex link between biofuels production and the global food market it unveils policy measures as the main drivers for production and use of biofuels and it analyzes various sustainability indicators and certification schemes for biofuels with respect to minimizing the adverse effects of biofuels while maximizing the benefits of the future use of biofuels

energy consumption real income and temporal causality results from a multi country study based on cointegration and error correction modelling techniques abstract unlike previous studies on the causal relationship between energy consumption and economic growth this paper illustrates how the finding of cointegration i e long term equilibrium relationship between these variables may be used in testing granger causality based on the most recent johansen s multivariate cointegration tests preceded by various unit root or non stationarity tests we test for cointegration between total energy consumption and real income of six asian economies india pakistan malaysia singapore indonesia and the philippines non rejection of cointegration between variables rules out granger non causality and imples at least one way of granger causality either unidirectional or bidirectionial secondly by using a dynamic vector error correction model we then analyse the direction of granger causation and hence the within sample granger exogeneity or endogeneity of each of the variables thirdly the relative strength of the causality is gauged through the dynamic variance decomposition technique by decomposing the total impact of an unanticipated shock to each of the variables beyond the sample period into proportions attributable to shocks in the other variables including its own in the bivariate system results based on these tools of methodology indicate that while all pair wise relationships shared common univariate integrational properties only relationships for three countries india pakistan and indonesia were cointegrated for these countries temporal causality results were mixed with unidirectional causality from energy to income for india exactly the reverse for indonesia and mutual causality for pakistan the vdcs were not inconsistent with these results and provided us with an additional insight as to the relatively more dominant direction of causation in pakistan simple bivariate vector autoregressive models for the three non cointegrated systems did not indicate any direction of causality significantly in either direction

energy consumption and gdp causality relationship in g 7 countries and emerging markets abstract the causality relationship between energy consumption and income is a well studied topic in energy economics this paper studies the time series properties of energy consumption and gdp and reexamines the causality relationship between the two series in the top 10 emerging markets excluding china due to lack of data and g 7 countries we discover bi directional causality in argentina causality running from gdp to energy consumption in italy and korea and from energy consumption to gdp in turkey france germany and japan hence energy conservation may harm economic growth in the last four countries

sustainable design of renewable energy supply chains integrated with district heating systems a fuzzy optimization approach abstract this study aims to develop a comprehensive decision model for sustainable design of biomass based renewable energy supply chains and district heating systems dhs with thermal energy storages the model integrates the strategic decisions such as location and capacity selection for energy plants dhs thermal storages and biomass storages with tactical decisions related to biomass production supply and transportation planning inventory management and energy production the main purpose is to find the optimum configuration of the supply chain and dhs to meet the heat demand of a particular locality the model combines cost and service level objectives and accounts for biomass supply material flow capacity demand and technical constraints the problem is formulated as a fuzzy mixed integer linear programming milp model that comprises multiple biomass types and system uncertainties to explore the viability of the proposed model computational experiments are performed on a real world case sensitivity analyses are conducted to examine the impacts of cost and capacity limit of thermal energy storage as well as heat demand on the objective functions and thermal storage capacity the results reveal that the proposed model can effectively be used in practice to assist the decision makers in planning energy production systems in a sustainable and effective manner

granger non causality tests between non renewable energy consumption and output in italy since 1861 the ir relevance of structural breaks abstract the present paper considers an italian dataset with an annual frequency from 1861 to 2000 it implements granger non causality tests between energy consumption and output contrasting methods allowing for structural change with those imposing parameter stability throughout the sample though some econometric details can differ results have clear policy implications energy conservation policies hasten an underlying tendency of the economy towards a more efficient use of fossil fuels the abandonment of traditional energy carriers was a positive change the challenge for renewable energy is to diversify among different sources and to overcome possible social acceptance problems

fuzzy input output model for optimizing eco industrial supply chains under water footprint constraints global water stress is expected to increase due to population growth economic development and climate change because of this trend there is an increased interest in the water intensity of industrial activities conducted via the product supply chain or within specified geographical boundaries or regions both at the enterprise or regulatory level the total water footprint of economic activities should be evaluated in consideration of local water resource consumption virtual water trade and resource availability as individual entities seek to protect their respective interests the challenge is to optimize inter regional trade of goods with the consideration of the interests of participants in the network this work presents a fuzzy inputeoutput model for optimizing supply chains under water footprint constraints two case studies involving tile manufacturing and biofuel production are considered to demonstrate the use of the model

a review of recent multi region input output models used for consumption based emission and resource accounting abstract the interest in consumption based emission and resource accounting has grown significantly many studies juxtapose consumer emissions carbon footprint and producer territorial emissions of greenhouse gases in order to demonstrate the effects of trade on the national emission budget to this end a respectable number of studies have been undertaken worldwide in order to estimate emissions embedded in international trade of numerous countries and world regions input output approaches and increasingly multi region input output mrio models are commonly chosen as they provide an appropriate methodological framework for complete carbon footprint estimates at the national and supra national level with increasing processing capabilities of computers and a wider availability of economic accounts environmental accounts and trade data such models are now being implemented on a wide scale after a brief overview of salient single region input output studies i provide an in depth review of the most recent multi region input output models used for the purpose of consumption based environmental accounting the main methodological features and important results are described for around twenty studies covering the years 2007 to 2009 this is followed by a detailed review of studies dealing with uncertainty in mrio analysis an area which has not received a lot of attention so far i conclude that further research is mainly needed in two areas a improvements in data availability and quality and b improvements in the accuracy of mrio modelling

renewable energy oil prices and economic activity a granger causality in quantiles analysis this paper analyzes the causal relationship between renewable energy consumption oil prices and economic activity in the united states from july 1989 to july 2016 considering all quantiles of the distribution although the concept of granger causality is defined for the conditional distribution the majority of papers have tested granger causality using conditional mean regression models in which the causal relations are linear we apply a granger causality in quantiles analysis that evaluates causal relations in each quantile of the distribution under this approach we can discriminate between causality affecting the median and the tails of the conditional distribution we find evidence of bi directional causality between changes in renewable energy consumption and economic growth at the lowest tail of the distribution besides changes in renewable energy consumption lead economic growth at the highest tail of the distribution our results also support the unidirectional causality from fluctuations in oil prices to economic growth at the extreme quantiles of the distribution finally we find evidence of lower tail dependence from changes in oil prices to changes in renewable energy consumption our findings call for government policies aimed at developing renewable energy markets to increase energy efficiency in the u s

renewable and non renewable energy consumption growth nexus evidence from a panel error correction model abstract unlike previous renewable energy consumption growth studies this study examines the relationship between renewable and non renewable energy consumption and economic growth for 80 countries within a multivariate panel framework over the period 1990 2007 the pedroni 1999 2004 heterogeneous panel cointegration test show a long run equilibrium relationship between real gdp renewable energy consumption non renewable energy consumption real gross fixed capital formation and the labor force with the respective coefficient estimates positive and statistically significant there is little difference in the elasticity estimates with respect to renewable and non renewable energy consumption the results from the panel error correction model reveal bidirectional causality between renewable and non renewable energy consumption and economic growth in both the short and long run also there is bidirectional short run causality between renewable and non renewable energy consumption indicative of substitutability between the two energy sources

a fuzzy linear programming enterprise input output model for optimal crisis operations in industrial complexes abstract industrial complexes may be subject to significant risk of cascading failure caused by various disruptions and emerging economies are potentially more susceptible to the impacts as less established policies are in place to deal with these issues in particular there is a need to develop adaptation strategies to ensure the resilience of industrial activities to various perturbations that may result from climate change the inherent complexity of such systems makes decision making for risk management a non trivial task that is best facilitated with the aid of mathematical models enterprise input output models have been used extensively to model production systems at different scales in this work a fuzzy linear programming enterprise input output model is developed to determine optimal adjustments in production levels of multi product systems when a crisis is induced by a loss of resource inputs the model allows for adjustments that are equitable for different decision makers that may comprise an industrial complex or a supply chain capabilities of the model are illustrated with a case study on the effect of water shortage on an aluminum production system

a note on the causal relationship between energy and gdp in taiwan abstract this paper re examines the causality between energy consumption and gdp by using updated taiwan data for the period 1954 1997 as a secondary contribution we investigate the causal relationship between gdp and the aggregate as well as several disaggregate categories of energy consumption including coal oil natural gas and electricity applying granger s technique we find bidirectional causality between total energy consumption and gdp we find further that different directions of cause exist between gdp and various kinds of energy consumption

the relationship between energy and gnp further results this paper reexamines the casuality between gnp and energy consumption by using updated us data for the period 1947 1979 as a secondary contribution we investigate the causal relationship between energy consumption and employment applying sims technique we find no causal relationship between gnp and energy consumption we find further that there is a slight unidirectional flow running from employment to energy consumption economic interpretations of the empirical results are also presented

a review of progress in empowerment of women in rural water management decision making processes abstract the authors of this paper explore the links between water infrastructure water policies processes and protections along with mechanisms for women s leadership and decision making for contributing to rural well being the broad brush strokes approach is our attempt to reveal the breadth and complexity of the interdisciplinary nature of problems which canonly be solved via interdisciplinary and collaborative approaches poor rural women are disproportionally and adversely impacted by domestic and public gendered roles in relation to water accessibility system design and management as well as by the high costs of water distribution the inadequacy of fair water distribution channels is compounded by the growing influence of water privatization advocates the significant changes in climate and global warming also threaten accessibility to safe water and add levels of competitiveness and vulnerability for people in many regions of the world the recommendations proposed in this paper underscore the need for proper management of water resources to prevent and to reduce water conflicts and to increase all dimensions of well being this paper builds upon literature from four interconnected strategies 1 investing in water infrastructure to increase well being 2 establishing policies and legislation to protect the global commons human rights and enhance economic well being 3 embedding gender equality and women s leadership in water management and 4 developing strategic interventions to reduce and mitigate adverse global affects by educating for sustainable development preventing and planning around climate change and enhancing local water management through resisting global privatization approaches

the causal relationship between energy resources and economic growth in brazil abstract this study investigates the causal relationship between clean and non clean energy consumption and economic growth in brazil over the period of 1980 2009 clean energy consumption at aggregated level of total renewable energy consumption and disaggregated levels of hydroelectric new renewables and nuclear energy consumption are tested within a production function framework a cointegration test reveals a long term equilibrium relationship between real output capital labor and renewable and non renewable energy consumption at aggregated level and a long term equilibrium relationship between real output capital labor and hydroelectric new renewables nuclear and fossil fuel energy consumption at disaggregated level the capital labor and new renewables elasticities of real output are positive and statistically significant other energy consumption item s elasticities are insignificant the results from error correction model reveal the interdependencies between new renewables nuclear fossil fuel and total non renewable energy consumption and economic growth the unidirectional causality from hydroelectric total renewable consumption to economic growth the substitutability between new renewables and fossil fuel consumption and the substitutability between new renewables and nuclear energy consumption additionally nuclear and new renewables energy consumption responds to bring the system back to equilibrium overall aggregated analysis may obscure the relationship between different types of clean energy consumption and economic growth

regional spillover effects of renewable energy generation in italy in a multivariate setting we document that renewable energy generation has a positive impact on economic growth at the regional level in italy we do so by adopting panel data unit root and cointegration tests as well as granger non causality tests relying on the system gmm estimator our results are interpreted in three ways renewable energy generation alleviates balance of payments constraints and reduces the exposure of a regional economy to the volatility of the price of fossil fuels and to negative environmental and health externalities deriving from non renewable energy generation therefore our evidence supports policies promoting renewable energy generation in an appendix we show that our results are robust to the adoption of alternative econometric methods and definitions for our energy variable they are also stable over time

economic performance through time prize lecture to the memory of alfred nobel december 9 1993 this abstract was borrowed from another version of this item

long memory in us disaggregated petroleum consumption evidence from univariate and multivariate lm tests for fractional integration previous studies that have tested for a unit root in aggregate energy consumption have potentially reached misleading conclusions because they fail to allow for the possibility that energy consumption might be fractionally integrated and do not distinguish between different types of energy consumption this study tests for long memory in disaggregated petroleum consumption in the united states using univariate and multivariate lagrange multiplier lm tests for fractional integration the results point strongly to the need to distinguish between different forms of energy consumption and allow for a generalization of the i 0 i 1 dichotomy when considering the order of integration of energy consumption allowing for short run dynamics the univariate test suggests that less than 50 of the series are fractionally integrated consistent with expectations the non stationary series are found to have the highest mean and standard deviation the multivariate test suggests that petroleum consumption in the commercial and industrial sectors is clearly fractionally integrated when allowing for short run dynamics and as such exhibits persistent effects while petroleum consumption in the residential sector is a stationary process

electricity consumption and economic growth in transition countries a revisit using bootstrap panel granger causality analysis abstract the purpose of this paper is to revisit the granger causal relationship between electricity consumption and economic growth for 15 transition economies for the period 1975 2010 using a bootstrap panel causality approach that allows for both cross sectional dependency and for heterogeneity across countries applying this approach we found a unidirectional causality running from electricity consumption to economic growth only in belarus and bulgaria from economic growth to electricity consumption in the czech republic latvia lithuania and the russian federation bidirectional causality only in ukraine while no granger causality in any direction in albania macedonia moldova poland romania serbia slovak republic and slovenia these results show that there is a limited support for the electricity led growth hypothesis nevertheless these different findings provide important implications for energy strategies and policies for transition countries

looking under the hood exploring assumptions and finding behavioral economics abstract cognitive scarcity is a fundamental economic fact but the standard maximization assumption abstracts from this fact much of behavioral economics can be framed as exploring the maximization assumption by applying the tools of behavioral economics to explore this important assumption we can learn why presuming maximization works when it works even when we know the assumption is not accurately descriptive we can also learn why theory fails when the assumption does not proximately hold

decomposition of co2 emissions over 1980 2003 in turkey abstract there is a multi dimensional need for studying the energy situation in turkey and to obtain insight into the development of co2 emissions on the one hand recent projections of the oecd show that turkey has a yearly gdp growth potential of over 7 on the other hand recent projections of undp and world bank indicate that the level of co2 emission is going to rise six fold by 2025 with respect to the level of emissions in 1990 it is a great challenge to both meet the growth target and keep the co2 under control thereupon this paper tries to unfold factors that explain co2 emissions by undertaking a complete decomposition analysis for turkey over the period 1980 2003 the analysis shows as is common to relatively fast growing economies that the biggest contributor to the rise in co2 emissions is the expansion of the economy scale effect the carbon intensity and the change in composition of the economy which nearly move in tandem also contribute to the rise in co2 emissions albeit at a slower rate the energy intensity of the economy which is decreasing is responsible for a modest reduction in co2 emissions hence in congruence with the scale effect a decoupling of carbon emissions and economic growth is not found in turkey over the period 1980 2003

p graph approach for gdp optimal allocation of resources commodities and capital in economic systems under climate change induced crisis conditions abstract climate change impacts may manifest via multiple pathways often leading to a shortage of resources reduction in production capacities or reduction in available labor inputs that are vital for economic activities effective climate change adaptation strategies are needed to determine the optimal allocation of scarce resources commodities or capital under crisis conditions to minimize the economic consequences in such cases it is necessary to account for structural properties of economic systems to ensure that rational distribution policies are implemented input output models are used to illustrate interdependencies among economic sectors and to assess both direct and indirect effects of disruptive events alternatively these interdependencies may be exploited for developing effective recovery efforts to minimize the ripple effects of a crisis in this paper a process graph representation of the input output model is developed to generate a rational procedure for the allocation of scarce resources commodities or capital during crisis conditions the process graph model is a graph theoretic approach originally developed for chemical process design applications the analogous problem structure allows it to be used for the input output system the method is demonstrated through several case studies to identify allocation policies geared towards reducing the impact of disruptions attributed to critical resources commodities or capital results show that depending on the economic structure the optimal allocation of scarce resources commodities or capital will satisfy the final demands of some economic sectors and reduce the production capacity of others in order to minimize the reduction of total gross domestic product though similar results can be obtained through traditional mathematical programming models the process graph platform has the advantage to visually present the distribution of scarce resources commodities or capital within the system this work is a first attempt to implement the process graph approach in the fields of economics and climate change adaptation in conclusion the process graph based approach developed in this work can be used to provide policymakers with insights in developing appropriate risk mitigation plans associated with climate change induced crisis conditions potential applications include both the development of disaster preparedness measures for anticipated disruptions as well as the implementation of real time emergency response in the midst of a crisis

the hydroelectricity consumption and economic growth in asian countries evidence using an asymmetric cointegration approach this study examines the four commonly tested hypotheses in hydroelectricity consumption economic growth literature for 12 asian countries our results from a recently developed hidden cointegrati

examining the global environmental impact of regional consumption activities part 1 a technical note on combining input output and ecological footprint analysis in recent years there have been a number of attempts to develop a more comprehensive approach to the issue of measuring resource use and or pollution generation embodied in trade flows including contributions that combine input output techniques and ecological footprint analysis in this two part paper we describe how to enumerate the resource and or pollution content of inter regional and inter national trade flows part 1 and we present a literature review of recent methodological and empirical developments part 2 it is straightforward in principle to extend the basic input output approach to capture international trade flows however in practice problems of data availability and compatibility and of computability of extended input output matrices mean that simplifying assumptions are generally applied but with the implications of these assumptions often not made fully explicit what appears to be absent from previous applications is an account of the analytical method by which ecological footprints should ideally be estimated in an international input output accounting analysis this allows an explicit analysis of the problems that prevent the application of the full method and identification of the most appropriate short cut methods in a transparent way the objective of this paper is to provide such an account

sectoral energy consumption by source and economic growth in turkey this paper provides a detailed analysis of the energy consumption in turkey during the last 40 years it investigates the causal relationships between income and energy consumption in two ways first the relationship is studied at the aggregate level then we focus on the industrial sector previous findings suggest that in the case of turkey there is a unidirectional causality running from energy consumption to growth however our findings suggest that in the long run income and energy consumption appear to be neutral with respect to each other both at the aggregate and at the industrial level we also find a strong evidence of instantaneous causality which means that contemporaneous values of energy consumption and income are correlated furthermore a descriptive analysis is conducted in order to reveal the differences in the use of energy resources we conclude that energy conservation policies are necessary for environmental concerns and our empirical results imply that such policies would not impede economic growth in the long term

energy consumption and economic growth in the usa evidence from renewable energy abstract recent debates about renewable energy consumption manifest two main expectations firstly renewable energy consumption should contribute to economic growth and secondly it should not cause damage on environment this study focuses on the first issue by applying toda yamamoto procedure and bootstrap corrected causality test for the us since empirical literature criticizes the toda yamamoto test which bases on asymptotic distribution the models consist of real gdp employment investment and kinds of renewable energy consumption only one causal relationship was found from biomass waste derived energy consumption to real gdp no causal relationship was found between real gdp and all of the other renewable energy kinds total renewable energy consumption geothermal energy consumption hydro electric energy consumption biomass energy consumption and biomass wood derived energy consumption that is using of energy from waste cause not only solving the dumping problems but also it contributes to real gdp for policy purpose the results of this study suggest that countries should concentrate on energy producing from waste as an alternative energy resource

arima forecasting of primary energy demand by fuel in turkey abstract forecasting of energy demand in emerging markets is one of the most important policy tools used by the decision makers all over the world in turkey most of the early studies used include various forms of econometric modeling however since the estimated economic and demographic parameters usually deviate from the realizations time series forecasting appears to give better results in this study we used the autoregressive integrated moving average arima and seasonal arima sarima methods to estimate the future primary energy demand of turkey from 2005 to 2020 the arima forecasting of the total primary energy demand appears to be more reliable than the summation of the individual forecasts the results have shown that the average annual growth rates of individual energy sources and total primary energy will decrease in all cases except wood and animal plant remains which will have negative growth rates the decrease in the rate of energy demand may be interpreted that the energy intensity peak will be achieved in the coming decades another interpretation is that any decrease in energy demand will slow down the economic growth during the forecasted period rates of changes and reserves in the fossil fuels indicate that inter fuel substitution should be made leading to a best mix of the country s energy system based on our findings we proposed some policy recommendations

investment planning and strategic management of sustainable systems for clean power generation an e constraint based multi objective modelling approach biomass based energy production has been considered as a part of the solution to energy crisis which is mainly caused by diminishing fossil fuel resources and environmental pollution from traditional fossil fuel based energy production systems therefore it is important to design sustainable and effective systems for biomass based energy production to provide competitive advantage on fossil fuel resourced systems this study develops a novel optimization model to aid investment planning and strategic management of biomass based clean power generation systems the model integrates the location capacity and technology decisions to find the optimal combination of bioenergy production systems to meet electricity demand of particular regions and accounts for multiple biomass types and power technologies the modelling approach and data analysis are presented to outline the important characteristics of the problem for minimization of the supply chain cost and minimization of the greenhouse gas ghg emissions simultaneously to handle the multi objective problem efficiently an integrated approach based on fuzzy decision making and e constraint method is proposed and used considering both sustainability aspects and uncertainties in the system parameters the viability of the proposed approach is explored on a case study of izmir region in turkey different supply chain configuration alternatives are provided for the case study region considering various weights for objective functions representing relative importance of each objective corresponding supply chain performance measures in terms of total cost and ghg emissions are proposed and discussed for each configuration alternative further enviro economic analyses denote that discounted investment cost and ghg emissions associated with energy production activities receive the biggest shares in the total cost and in the total ghg emissions respectively the government and private investors can employ the model and solution algorithm to design the most cost effective and environment friendly supply chain to monitor the economic and environmental performance of the current biomass based supply chains and identify policies to support a viable profitable and eco friendly energy industry

input output models for the analysis of a local global supply chain abstract a supply chain can be analysed as a network of production processes which can be localised within and outside a given geographic area each process can be defined as a system that produces output flows in consequence of input flows in this paper an input output approach based on production processes is used to develop specific models that investigate flows among production processes either of a whole global supply chain or of a part of the supply chain localised within a given area local by product and waste outputs are also considered the developed models can help improve design and management of supply chains also in terms of sustainable development of a local area in fact this use of the input output analysis entails a deeper understanding of the relationships among the processes and the environment

relationship between energy production and water resource utilization a panel data analysis of 31 provinces in china abstract the systematic study of the relationship between energy production and water resource utilization is crucial for china to relieve the energy water crisis and achieve sustainable use of them this work explores the causal relationship between energy production and water resource utilization in china using panel data of 31 provinces over the period 2000 2014 this study have applied a panel unit root test cointegration test vector error correction model vecm and granger causality approaches to examine the long run and short run relationship between the variables the results show that 1 there is a long run bidirectional granger causality relationship between energy production and water resources utilization but a short run unidirectional relationship between two variables i e the water resource utilization is the short run granger reason for the change in energy production 2 the increases in industrial added value population and ratio of the secondary industry value added to gdp have a positive effect on both energy production and water resource utilization 3 industrial water use will fall by about 0 12 if the rate of industrial waste water reuse increases by 1 which shows that the progress of water saving technology can reduce industrial water usage effectively our findings indicate that government should implement strict water constraint strategies and promote water conservation technology for the sustainable development of energy and water resources in china

nobel lecture the economic way of looking at behavior an important step in extending the traditional theory of individual rational choice to analyze social issues beyond those usually considered by economists is to incorporate into the theory a much richer class of attitudes preferences and calculations while this approach to behavior builds on an expanded theory of individual choice it is not mainly concerned with individuals it uses theory at the micro level as a powerful tool to derive implications at the group or macro level the lecture describes the approach and illustrates it with examples drawn from my past and current work