the carbon footprint of uk households 1990 2004 a socio economically disaggregated quasi multi regional input output model this paper presents a socio economically disaggregated framework for attributing co2 emissions to people s high level functional needs based around a quasi multi regional input output qmrio model the study in theory takes into account all co2 emissions that arise from energy used in production of goods and services to satisfy uk household demand whether the emissions occur in the uk or abroad results show that co2 emissions attributable to households were 15 above 1990 levels in 2004 and that although absolute decoupling occurred between household expenditure and co2 during the uk s switch from coal to gas in the early 1990s since then only slight relative decoupling is evident the proportion of co2 that arises outside uk borders in support of uk consumption is rising and reducing these emissions is particularly problematic in a global trading system investigation into the carbon footprint of different segments of the uk population shows wide variation the segment with the highest carbon footprint emits 64 more co2 than the segment with the lowest results show that recreation and leisure are responsible for over one quarter of co2 emissions in a typical uk household in 2004 we conclude that expanding lifestyle aspirations are significant factors in driving household co2 emissions but the study also emphasizes that attention must be paid to the infrastructures and institutions that result in considerable amounts of co2 being locked up in basic household activities through which people meet their everyday needs for subsistence protection and communication with family and friends the findings highlight the sheer scale of the challenge facing uk policy makers and suggest that policies should be targeted towards segments of society responsible for the highest carbon footprints

a semiparametric approach to short term oil price forecasting abstract in this paper it is shown how the garch properties of oil price changes can be employed to forecast the oil price distribution over short term horizons the forecasting methodology is semiparametric and it is based on the bootstrap approach the results of an out of sample forecasting exercise carried out using the brent oil price series suggest that the forecasting approach can be used to obtain a performance measure for the forward price in addition to compute interval forecasts for the oil price

the tenure imbalance in spain the need for social housing policy spain is usually chosen as an example of an unbalanced picture among tenures the owner occupied sector has been growing since the 1950s while the rental sector has become smaller surprisingly other european countries are at present following the same pattern but mostly we also see an important function for social housing taking into account that public housing built by public developers is almost negligible and that government housing policy programmes basically stimulate ownership the social housing concept lacks an adequate definition in spanish housing policy in this sense the encouragement of the rental sector through public policy should provide an alternative for low income families despite different cultural housing backgrounds the emergence of a reliable rental sector in spain appears to be the most promising strategy for solving current housing problems the aim of the paper is twofold on the one hand it analyses the evolution of the rental sector through recent decades stressing

a bibliometric analysis of research on carbon tax from 1989 to 2014 abstract as one of the most cost effective means of emission reduction carbon tax has attracted considerable attention from economists and international organizations and has led to a large number of related research using the bibliometric method this paper characterizes the carbon tax literature from 1989 to 2014 based on the network database platform of web of science the results indicate that the usa occupies a leading position in the carbon tax field the vrije university amsterdam massachusetts institute of technology and stanford university were the most productive research institutes energy policy 143 has been the most productive journal followed by energy economics 44 and energy 38 in general the cooperation of authors institutes and nations are continuing to strengthen however the growth rate at the author level was significantly higher than the others in addition the current key research areas in the carbon tax field based on co keyword analysis are as follows climate change and relevant policy carbon emissions trading socio economic effects of carbon tax renewable energy endogenous technological change and carbon capture and storage the results of this paper will help researchers grasp the current research in the carbon tax field but also provide a supporting role for future work

relating the environmental impact of consumption to household expenditures an input output analysis in this paper we evaluate the relationships between household expenditures and the environmental impact categories climate change acidification eutrophication and smog formation by combining household expenditures with environmentally extended input output analysis expenditure elasticities are examined with regression analysis and are compared and interpreted on the basis of insight at the product level with data from the netherlands in the year 2000 we find that environmental impact increases with increasing household expenditures although the degree to which the environmental impact increases differs per impact category climate change and eutrophication increase less than proportionally with increasing expenditures acidification increases nearly proportionally with increasing expenditures whereas smog formation increases more than proportionally it appears that the mix of necessities and luxuries to which an environmental impact is related is essential in explaining the relationship

engel functions panel data and latent variables a system of consumer expenditure functions is estimated from norwegian household budget data specific features of the approach are i panel data from individual households are used which offer far richer opportunities for identification estimation and testing than cross section data ii measurement errors are carefully modelled total consumption expenditure is modelled as a latent variable purchase expenditures on different goods and two income measures are used as indicators of this basic latent variable the usual assumption of no measurement error in total expenditure is clearly rejected iii the distribution of latent total expenditure across households and its evolution over time is estimated and important properties tested iv the distribution of individual differences in preferences represented by individual time invariant latent variables are modelled estimated and tested v we test the hypothesis that preferences are uncorrelated with total consumption expenditure which is basic to virtually all cross section studies of consumer demand functions

value at risk estimation with the optimal dynamic biofuel portfolio abstract in the past petroleum companies only paid attention to hedging the variation in the crude oil price and volatility however they have now expanded their analysis to encompass renewable sources such as corn and soybeans under the current low carbon biofuel obligations this paper employs garch 1 1 and arji models to estimate the one day ahead value at risk var of the optimal dynamic biofuel portfolio which consists of crude oil corn and soybeans the optimal blended standard is subject to the dual limitations of minimum production costs and the lowest biofuel using requirements our empirical findings confirm that the arji model is more suitable than the garch 1 1 model and further captures the discontinuous jump behavior from the in the sample data the results of out of sample forecasts also are represented that our models play important roles in var estimation and risk management for biofuel portfolio we therefore suggest that the petroleum companies should simultaneously pay attention to jump risk in hedging material costs in the prices of energy related crops

examining the global environmental impact of regional consumption activities part 2 review of input output models for the assessment of environmental impacts embodied in trade this paper offers a detailed review of recently described single and multi region input output models used to assess environmental impacts of internationally traded goods and services it is the second part of a two part contribution in part 1 turner k lenzen m wiedmann t and barrett j in press examining the global environmental impact of regional consumption activities part 1 a technical note on combining input output and ecological footprint analysis ecological economics we describe how to enumerate the resource and pollution content of inter regional and inter national trade flows with the aim to illustrate an ideal accounting and modelling framework for the estimation of ecological footprints a large number of such environment economic models have been described but only in the last few years models have emerged that use a more sophisticated multi region multi sector input output framework this has been made possible through improvements in data availability and quality as well as computability we identify six major models that employ multi sector multi region input output analysis in order to calculate environmental impacts embodied in international trade results from the reviewed studies demonstrate that it is important to explicitly consider the production recipe land and energy use as well as emissions in a multi region multi sector and multi directional trade model with global coverage and detailed sector disaggregation only then reliable figures for indicators of impacts embodied in trade such as the ecological footprint can be derived

tricks with hicks the easi demand system we invent implicit marshallian demands which combine desirable features of hicksian and marshallian demands we propose and estimate the exact affine stone index easi implicit marshallian demand system like the almost ideal demand aid system easi budget shares are linear in parameters given real expenditures however unlike the aid easi demands can have any rank and its engel curves can have any shape over real expenditures easi error terms equal random utility parameters to account for unobserved preference heterogeneity easi demand functions can be estimated using gmm or three stage least squares and like aid an approximate easi model can be estimated by linear regression

evaluating interval forecasts a complete theory for evaluating interval forecasts has not been worked out to date most of the literature implicitly assumes homoskedastic errors even when this is clearly violated and proceed by merely testing for correct unconditional coverage consequently i set out to build a consistent framework for conditional interval forecast evaluation which is crucial when higher order moment dynamics are present the new methodology is demonstrated in an application to the exchange rate forecasting procedures advocated in risk management

household energy prices and inequality evidence from german microdata based on the easi demand system abstract this paper studies the distributional effects of rising energy costs for households in contrast to most of the previous literature our specification differentiates between electricity and heating demand and still models other consumption goods in realistic detail we use a yet unexplored data set on household expenditures in germany and extend the recently developed easi demand system for the analysis of inequality and welfare at the individual and social level the easi system reveals non linearity of engel curves which when neglected can lead to biased estimates of distributional effects we find that increases in heating prices are more regressive than those in electricity furthermore current proposals for social tariffs are found to be less effective than targeted compensation schemes

which are the real determinants of tenure a comparative analysis of different models of the tenure choice of a house tenure choice is closely bound to other vital individual decisions of great importance not only for the individual but also for the country in which he or she resides the present paper includes a comparison of the different approaches that have been used in the economic literature in the analysis of the individual s housing tenure choice according to their dependent variable the different models can be divided into those whose dependent variable is tenure classical models recent movers models and sequential models and those in which the dependent variable is transition from renting to the position of ownership duration models and choice based models results show the best performance for the models in which the variable to be explained is the transition from renting to ownership and highlight real determinants of tenure life cycle variables and transition life cycle variables prices and transaction costs finally marital status stands out as the variable with the highest incidence

comparison of historically simulated var evidence from oil prices abstract cabedo and moya cabedo j d moya i 2003 estimating oil price value at risk using the historical simulation approach energy economics 25 239 253 find that arma with historical simulation delivers var forecasts that are superior to those from garch we compare the arma with historical simulation to the semi parametric garch model proposed by barone adesi et al barone adesi g giannopoulos k vosper l 1999 var without correlations for portfolios of derivative securities journal of futures markets 19 5 583 602 the results suggest that the semi parametric garch model generates var forecasts that are superior to the var forecasts from the arma with historical simulation this is due to the fact that garch captures volatility clustering our findings suggest that cabedo and moya s conclusion is mainly driven by the normal distributional assumption imposed on the future risk structure in the garch model

modelling household energy expenditures using micro data this paper is concerned with the empirical modeling of domestic demand for energy in the united kingdom at the level of the individual household a two stage budgeting model of household demand for energy conditional on durable ownership is developed at the first stage income is allocated between energy and nonenergy consumption while at the second stage energy expenditure is disaggregated the second stage allocation is assumed to be between gas electricity and a composite good other fuels estimation takes place using a sample of some 50 000 households drawn from the annual u k family expenditure survey for the years 1972 83 a source that has not been fully exploited in the analysis of energy demand to date copyright 1989 by royal economic society

are younger generations higher carbon emitters than their elders inequalities generations and co2 emissions in france and in the usa abstract proper understanding of the determinants of household co2 emissions is essential for a shift to sustainable lifestyles this paper explores the impacts of date of birth and income on household co2 emissions in france and in the usa direct co2 emissions of french and american households are computed from consumer budget surveys over the 1980 2000 time period age period cohort estimators are used to isolate the generational effect on co2 emissions i e the specific effect of date of birth independent of the age the year and other control variables the paper shows that french 1935 55 cohorts have a stronger tendency to emit co2 than their predecessors and followers the generational effect is explained by the fact that over their lifespan french baby boomers are better off than other generations and live in energy and carbon inefficient dwellings in the usa the absence of a generational effect on co2 emissions can be explained by the fact that intergenerational income inequalities are weaker than in france persistence of the generational effect once income and housing type is controlled for in france can be explained by the difficulty for french 1935 55 cohorts to adapt to sober energy consumption patterns

decoupling and displaced emissions on swedish consumers chinese producers and policy to address the climate impact of consumption abstract new developments in consumption based emissions accounting suggest that the reductions claimed by wealthy environmentally progressive nations have often come at the expense of increased emissions elsewhere and thus net growth in global ghg concentrations this paper traces sweden s attempts to translate growing recognition of displaced emissions into national environmental policy drawing on multi sited ethnographic research and policy analysis in sweden and china we argue that while the logical implications of consumption based analyses point to the need to address production and consumption as an integrated system complex governance challenges and the political precariousness of these ideas have thus far limited policy to the reinvention of consumer awareness campaigns and an international extension of long standing ecological efficiency efforts we argue that consumption based emissions indicators justify more ambitious demand side policy response

price and income elasticities of demand for housing characteristics in the city of barcelona garcia j and raya j m price and income elasticities of demand for housing characteristics in the city of barcelona regional studies this paper estimates price and income elasticities of demand for housing characteristics using the information of properties appraised in the city of barcelona 1998 2001 it employs a two stage approach estimating hedonic price equations for different districts in order to estimate subsequently the corresponding demand equations the results allow an analysis to be made of the complementarity or substitutability relationships among the characteristics analysed and also to catalogue these characteristics as goods by knowing the price cross and income elasticities of housing characteristics policy recommendations can be made about the type of housing units that are the most desirable to be subsidized garcia j et raya j m les elasticites par rapport au prix et au revenu de la demande de caracteristiques particulieres du logement a barcelone regional studies a p

evaluating energy embodied in national products through input output analysis theoretical definition and practical application of international trades treatment methods abstract production activities of modern economies are ultimately sustained by depletion of non renewable fossil fuels in the perspective of non renewables displacement an accurate evaluation of energy embodied in goods and services is crucial in order to select among alternative products or policies economic based input output models are widely used for this purpose however due to the increasing amount of international trades of products definition of appropriate methods to account for the energy embodied in trades is nowadays crucial in this paper international trades treatment methods in input output analysis are comprehensively formalized and applied to a case study based on the world input output database wiod energy embodied in final demand and in detailed products of key national energy sectors have been evaluated for the wiod countries according to single region and multi regional models it is found that an inappropriate use of international trades treatment models may produce very inaccurate estimations of numerical values of embodied energy three country groups has been identified characterized by different ranges of fractions of imported exported primary fossil fuels single region method a returns best results for countries of group 1 with high values of fossil exports and low values of fossil imports multi regional method c is to be preferred for countries of group 2 with high values of fossil imports and low values of fossil exports finally single region method b returns lower deviations compared to other methods for countries of group 3 with low values of fossil imports and exports this paper aims at supporting researchers in the field of life cycle assessment in the application of environmentally extended input output analysis finding the best trade off between the efforts due to data collection and the accuracy of results

estimating direct and indirect rebound effects for u s households with input output analysis part 2 simulation abstract this is the second part of a two part paper that integrates economic and industrial ecology methods to estimate the indirect rebound effect from residential energy efficiency investments we apply the model developed in part one to simulate the indirect rebound given an estimate of the direct rebound using a 2002 environmentally extended input output model and the 2004 consumer expenditure survey in 2002 for the u s we find an indirect rebound of 5 15 in primary energy and co 2 e emissions assuming a 10 direct rebound depending on the fuel saved with efficiency and household income the indirect rebound can be as high as 30 40 in no x or so 2 emissions for efficiency in natural gas services the substitution effect modeled in part one is small in most cases and we discuss appropriate applications for proportional or income elasticity spending assumptions large indirect rebound effects occur as the u s electric grid becomes less carbon intensive in households with large transportation demands or as energy prices increase even in extreme cases there is limited evidence for backfire or a rebound effect greater than 100 enacting pollution taxes or auctioned permits that internalize the externalities of energy use would ensure that rebound effects unambiguously increase consumers welfare

estimating direct and indirect rebound effects for u s households with input output analysis part 1 theoretical framework abstract this is the first part of a two part paper providing an analytical model of the indirect rebound effect given a direct rebound estimate that integrates consumer demand theory with the embodied energy of household spending from environmentally extended input output analysis the second part applies the model developed in part one to simulate the direct and indirect rebound for the average u s household in terms of primary energy co2e nox and so2 emissions and for energy efficiency investments in electricity natural gas or gasoline services part one provides a critical review of the largely independent economic and industrial ecology literatures on the indirect rebound by studying the two goods case and the n goods case we demonstrate that the indirect rebound is bounded by the consumer budget constraint and inversely related to the direct rebound we also compare the common proportional spending and income elasticity spending assumptions with our model of cross price elasticities including both substitution and income effects for the indirect rebound by assuming zero incremental capital costs and the same embodied energy as conventional technologies for efficient appliances we model an upper bound of the indirect rebound future work should also consider the increase in consumer welfare possible through the rebound effect

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

a structural decomposition of global raw material consumption between 1995 and 2008 the global extraction of biomass fossil fuels and minerals grew from 48 to 69 billion metric tons this study investigates how changing consumption and investment patterns a ected the aforementioned increase a series of structural decomposition analyses at a global level as well as for 38 major economies is conducted the analyses disentangle the drivers of raw material consumption which measures the extraction of materials necessary to produce a country s final demand data is taken from the world input output database the results suggest that rising final demand is the predominant driver of growing raw material consumption furthermore final demand shifted into countries that consume material intensive goods this shift was particularly pronounced for construction minerals and investment indicating that infrastructure investment in industrialising nations was a key driver the mix of goods in final demand slightly dematerialised falling material intensities in extractive industries as well as changes in production and trade patterns decelerated the growth of raw material consumption the country level structural decomposition analyses obtained qualitatively similar results

profiting from negawatts reducing absolute consumption and emissions through a performance based energy economy abstract current energy and ghg emissions policies either focus directly on emissions or promote renewable production and the implementation of specific efficiency measures meanwhile the fundamental structure of the energy market based on profits through energy throughput remains largely unchallenged this policy oversight prevents the transition to an energy economy in which profits are based on energy services delivered at the lowest energy cost a performance based energy economy pbee the pbee applies the combined concepts of the performance economy and energy services to the energy sector energy service companies escos are discussed as an example of pbee practices the implications for energy suppliers and consumers as well as the conditions for pbee diffusion and consequences for technological change are also explored the expected environmental social and economic benefits are described however absolute consumption and emissions reductions may prove elusive due to the rebound effect in order to forestall rebound led increases complementary policy measures likely to lead to absolute reductions are required

income inequality and carbon consumption evidence from environmental engel curves abstract i investigate the relationship between income inequality and the carbon dioxide co2 content of consumption i quantify the co2 content of household expenditure using input output analysis and estimate environmental engel curves eecs which describe the income emissions relationship using eecs for the united states between 1996 and 2009 i decompose the change in co2 over time and the distribution of emissions across households in both cases income is an important driver of household carbon finally i describe a potential equity pollution dilemma progressive income redistribution may raise the demand for aggregate greenhouse gas emissions i estimate that transfers raise emissions by 5 1 at the margin and by 2 3 under complete redistribution

extreme value theory and value at risk application to oil market recent increases in energy prices especially oil prices have become a principal concern for consumers corporations and governments most analysts believe that oil price fluctuations have considerable consequences on economic activity oil markets have become relatively free resulting in a high degree of oil price volatility and generating radical changes to world energy and oil industries as a result oil markets are naturally vulnerable to significant negative volatility an example of such a case is the oil embargo crisis of 1973 in this newly created climate protection against market risk has become a necessity value at risk var measures risk exposure at a given probability level and is very important for risk management appealing aspects of extreme value theory evt have made convincing arguments for its use in managing energy price risks in this paper we apply both unconditional and conditional evt models to forecast value at risk these models are compared to the performances of other well known modelling techniques such as garch historical simulation and filtered historical simulation both conditional evt and filtered historical simulation procedures offer a major improvement over the parametric methods furthermore garch 1 1 t model may provide equally good results as well as the combining of the two procedures

primary energy and greenhouse gases embodied in australian final consumption an input output analysis input output modeling of primary energy and greenhouse gas embodiments in goods and services is a useful technique for designing greenhouse gas abatement policies the present paper describes direct and indirect primary energy and greenhouse gas requirements for a given set of australian final consumption it considers sectoral disparities in energy prices capital formation and international trade flows and it accounts for embodiments in the gross national expenditure as well as the gross domestic product primary energy and greenhouse gas intensities in terms of mj and kg co2 e are reported as well as national balances of primary energy consumption and greenhouse gas emissions

value at risk estimation of energy commodities a long memory garch evt approach abstract in this paper we evaluate value at risk var and expected shortfall es for crude oil and gasoline market we adopt three long memory models including figarch hygarch and fiaparch to forecast energy commodity volatility by capturing some volatility stylized fact such as long range memory heteroscedasticity asymmetry and fat tails then we consider extreme value theory which concentrates on the tail distribution rather than the entire distribution evt is considered as a potential framework for the separate treatment of tails of distributions which allows for asymmetry our results show that the fiaparch model with extreme value theory performs better in predicting the one day ahead var using the fitted long memory garch model and a simulation approach to estimate var for horizons over than one day backtesting results show that our approach still performs for lower estimation frequencies overall our findings confirm that taking into account long range memory asymmetry and fat tails in the behavior of energy commodity prices returns combined with filtering process such as evt are important in improving risk management assessments and hedging strategies in the high volatile energy market

a multivariate analysis of the energy intensity of sprawl versus compact living in the u s for 2003 abstract we explore the energy intensity of sprawl versus compact living by analyzing the total energy requirements of u s households for the year 2003 the methods used are based on previous studies on energy cost of living total energy requirement is calculated as a function of individual energy intensities of goods and services derived from economic input output analysis and expenditures for those goods and services we use multivariate regression analysis to estimate patterns in household energy intensities we define sprawl in terms of location in rural areas or in areas with low population size we find that even though sprawl related factors account for about 83 of the average household energy consumption sprawl is only 17 19 more energy intensive than compact living based on how people actually lived we observe that some of the advantages of reduced direct energy use by people living in high density urban centers are offset by their consumption of other non energy products a more detailed analysis reveals that lifestyle choices household type number of vehicles and family size that could be independent of location play a significant role in determining household energy intensity we develop two models that offer opportunities for further analysis

quadratic engel curves and consumer demand this paper presents a model of consumer demand that is consistent with the observed expenditure patterns of individual consumers in a long time series of expenditure surveys and is also able to provide a detailed welfare analysis of shifts in relative prices a nonparametric analysis of consumer expenditure patterns suggests that engel curves require quadratic terms in the logarithm of expenditure while popular models of demand such as the translog or the almost ideal demand systems do allow flexible price responses within a theoretically coherent structure they have expenditure share engel curves that are linear in the logarithm of total expenditure we derive the complete class of integrable quadratic logarithmic expenditure share systems a specification from this class is estimated on a large pooled data set of u k households models that fail to account for engel curvature are found ro generate important distortions in the patterns of welfare losses associated with a tax increase

political institutions and pollution control this paper models the selection of environmental policies under authoritarian and democratic regimes and tests the hypothesis that political institutions systematically affect the enactment of environmental regulations the results support the contention that political institutional arrangements rather than resource endowments largely determine policies concerning environmental regulation copyright 1992 by mit press

estimating oil price value at risk using the historical simulation approach abstract in this paper we propose using value at risk var for oil price risk quantification var provides an estimation for the maximum oil price change associated with a likelihood level and can be used for designing risk management strategies we analyse three var calculation methods the historical simulation standard approach the historical simulation with arma forecasts hsaf approach developed in this paper and the variance covariance method based on autoregressive conditional heteroskedasticity models forecasts the results obtained indicate that hsaf methodology provides a flexible var quantification which fits the continuous oil price movements well and provides an efficient risk quantification

estimating welfare aspects of changes in energy prices from preference heterogeneity abstract the european union s energy and climate policy package is expected to cause an increase in end user prices of electricity and fuels this paper assesses the distributional effects of these price increases in cyprus by specifying and estimating a consumer demand system with price heterogeneity between households this novel method allows obtaining robust parameter estimates even when household expenditure surveys are limited as is the case in many european countries the empirical analysis is conducted both conditional on energy related household characteristics and unconditionally we then use the estimated demand system to conduct welfare analysis we find that the rise in energy prices results in welfare losses of eur 101 per household in 2009 prices in year 2020 or a nationwide welfare loss of more than eur 2009 33 million price increases will be regressive and will affect small and urban households more strongly than the rest of the population furthermore we find that the largest proportion of welfare loss is due to loss of household s income purchasing power caused by higher energy prices while the changes in relative prices induce deadweight loss which is a small part of welfare loss because of the limited substitutability of energy with other goods

the carbon footprint of greek households 1995 2012 abstract the goal of this paper is twofold i to investigate the carbon footprint of greek households throughout the period 1995 2012 in order to identify the main socio economic factors that affect ghg emissions and ii to evaluate the effectiveness of the implemented policies to tackle climate change in this a consumption based emissions inventory approach is applied the analysis is based on an environmentally extended input output model including direct co2 emissions from households indirect co2 emissions from electricity consumption and indirect co2 emissions from energy used in the production of goods and services purchased by households domestic or imported statistical analysis and appropriate regression models were developed in order to identify the main factors influencing the carbon footprint of greek households the results indicate that the observed trends during the period 1995 2008 can be attributed to the effect of high economic growth this trend is partially counterbalanced by favorable weather conditions and the implementation of greenhouse mitigation policies and measures mainly in the supply side since 2008 the shrinking household income is the dominant driver in addition the effectiveness of energy conservation policies and measures in place is rather low while the effect of imports is limited

how does income redistribution affect households material footprint abstract this paper presents a study of the evolution of spanish households material footprint for the period 2006 to 2013 the method proposed combines the multiregional input output model with spanish national data on household consumption according to social group material footprint has been affected by the 2008 economic crisis in relative terms the share of spanish households material footprint with respect to total material footprint decreased drastically from 70 7 in 2006 to 50 8 in 2011 this reduction can be mainly attributed to the construction sector crash 34 4 of the reduction is due to construction materials followed by biomass 29 metals 27 1 and fossil fuels 26 1 by type of household the material footprint exhibits a scale effect while consumption and income levels grow and this is accompanied by a global teleconnection effect which varies from 62 for biomass to 64 for metals to 82 for construction materials to 95 for fossil fuels given the context of increasing income inequality we perform one redistribution simulation from high to middle and low income households finding a material footprint increase in all cases the most materialized consumer basket is that corresponding to households with incomes between 1500 and 1999 euros above that income level the growing weight of expenditures on services reduces the use of materials importantly social income redistribution and environmental material footprint sustainability will become incompatible if responsibility is transferred only to households

who emits most associations between socio economic factors and uk households home energy transport indirect and total co2 emissions abstract does the association between household characteristics and household co2 emissions differ for areas such as home energy transport and indirect emissions this question is policy relevant because distributional implications of mitigation policies may vary depending on the area of emissions that is targeted if specific types of households are likely to have higher emissions in some areas than in others so far this issue has not been examined in depth in the literature on household co2 emissions using a representative uk expenditure survey this paper compares how household characteristics like income household size education gender worklessness and rural or urban location differ in their association with all three areas as well as total emissions we find that these associations vary considerably across emission domains in particular whilst all types of emissions rise with income low income workless and elderly households are more likely to have high emissions from home energy than from other domains suggesting that they may be less affected by carbon taxes on transport or total emissions this demonstrates that fairness implications related to mitigation policies need to be examined for separate emission domains

a bibliometric review energy consumption and greenhouse gas emissions in the residential sector residential sector has been one key sector for reducing its greenhouse gas emissions due to its significant contribution to global warming researchers in different countries have studied household energy consumption patterns and greenhouse gas emissions in order to promote low carbon lifestyles however few review papers have been published in this regard leading to a lack of systematic understanding on the related research achievements hence by using a bibliometric approach this paper aims to review the existing literature and examine the evolution of such a field so that the research trends can be uncovered including popular research methods citation analysis is performed to assess the influence of most productive journals countries territories and authors network analysis is also conducted to evaluate the relationship among different countries territories authors and keywords research outcomes of this paper present a comprehensive research picture on residential energy consumption and corresponding greenhouse gas emissions ree related papers published from 1997 to 2016 the most productive journals countries territories authors are also analyzed based on citation analysis and network analysis in addition results also revealed that behavioral analysis input output analysis life cycle assessment and cost benefit analysis are the most commonly used methods in this field results obtained from this study can provide valuable information for researchers interested in the ree related field

labor income uncertainty skewness and homeownership a panel data study for germany and spain abstract in this paper we empirically investigate the effect of labor income uncertainty on the probability of homeownership in germany and spain this study is motivated by two facts firstly theoretical models tend to provide ambiguous results on this issue secondly previous empirical evidence focuses exclusively on the us housing market to carry out our analysis we propose more precise income uncertainty measures based on panel data labor income equations we observe that households facing high levels of income uncertainty display a preference for renting while those located in more positively skewed income distributions show a greater propensity for homeownership

the evolution of household induced value chains and their environmental implications abstract the growing fragmentation of production processes and expansion of international trade in the last decades have increased the scope and complexity of value added chains worldwide causing a rearrangement of sectoral linkages intra and inter regionally in terms of economic spillovers this implies that a dollar entering a particular economy nowadays follows a different path than a decade before permeating in longer interregional feedback loops and creating additional multiplier effects outside its region of origin however it also implies that the environmental burden that such this dollar generates has changed in scale and spatial distribution in this paper we explore the evolution of these paths over the period 1997 2008 and highlight the main drivers of observed structural changes that contribute to the surge or decline of the spatial distribution of economic spillovers and greenhouse gases emissions we specifically study the effects of an increase in income in the united states the country with the largest trade volume in the world we introduce an extended version of the temporal leontief inverse tli framework that allows tracing the evolutionary path of the american households multiplier in a quasi dynamic fashion isolating the contribution of expenditure patterns income trade and foreign structural change to the temporal evolution we find similar growing multiplier effects inside and outside the us due to services and manufacturing respectively but a declining local environmental burden due to changes in interindustry relations inside the us with declining manufacturing and a reduced emission intensity we also highlight the fragmentation process with declining foreign intraregional spillovers and increasing trade spillovers

the environmental impact of sharing household and urban economies in co2 emissions abstract studies find that per capita carbon dioxide co 2 emissions decrease with household size and urban density the demographic trends of declining household size and dense urbanization therefore produce countervailing effects with respect to emissions we posit that both household and urban economies are driven by proximity and realized through sharing carbon intensive goods with detailed data from the united states consumer expenditure survey we construct a dataset of co 2 emissions at the household level and leverage a unique measure of residential density to estimate household and urban economies our estimates show that dense urban areas have per capita emissions roughly 20 lower than rural areas and that adding an additional member to a household reduces per capita emissions by about 6 we also find that household economies are about twice as large in rural areas as in dense urban areas and develop an explanation for this phenomenon in theory the carbon benefits of dense urbanization have the potential to offset the effects of declining household size however using historical us census data and extrapolating from our estimates we find that lost household economies have outpaced increased urban economies over the past fifty years

climate change policy market structure and carbon leakage abstract the 1997 kyoto protocol on climate change obliges the industrialized countries to initiate the international effort of abating anthropogenic greenhouse gas ghg emissions if such an initiative is to be taken the associated competitive effects may lead to significant relocation of developed countries energy intensive production this paper examines this issue i adopt an oligopolistic structure combined with increasing returns to scale production technologies to represent the strategic interaction among the firms producing energy intensive products this representation is then embedded within a multi regional computable general equilibrium model which in turn is used for quantifying these relocational effects the results suggest that significant relocation of energy intensive industries away from the oecd may occur depending on the type of market structure with leakage rates as high as 130 in which case ghg control policies in the industrialized countries actually lead to higher global emissions

mapping the cost risk of agricultural residue supply for energy application in rural china this research aims to shed light on the interaction mechanism of cost risks for biomass material supply in power generation especially for biomass coal dual fuel systems firstly a game model is established to analyze interactions among factors including unit procurement cost unit transportation cost basic price and coal price for crop residue collection secondly a monte carlo simulation is implemented to compare the profit increase under material competition with that under price alliance the methodology is illustrated with a case study in a biomass power plant in shandong province china it shows that developing a price alliance will benefit both the allied enterprises and the local collection area in most circumstances thirdly a risk tolerance area approach is applied in mapping the cost risk and in explaining the risky circumstances of the case study

the kyoto protocol and developing countries abstract under the kyoto protocol the world s wealthier countries assumed binding commitments to reduce greenhouse gas emissions the agreement requires these countries to consider ways to minimize adverse effects on developing countries of these actions transmitted through trade using a general equilibrium model of the world economy we find that adverse effects fall mainly on energy exporting countries for some even greater than on countries that are assuming commitments removing existing fuel taxes and subsidies and using international permit trading would greatly reduce the adverse impacts and also reduce economic impacts on the countries taking on commitments another approach preferential tariff reduction for developing countries would benefit many developing countries but would not target those most adversely affected if instead oecd countries directly compensated developing countries for losses the required annual financial transfer would be on the order of 25 billion 1995 us in 2010

a future for carbon taxes abstract carbon taxes have been frequently advocated as a cost effective instrument for reducing emissions however in the practice of environmental policies only six countries have implemented taxes based on the carbon content of the energy products in this paper we evaluate carbon taxes with regard to their competitiveness distributional and environmental impacts the evidence shows that carbon taxes may be an interesting policy option and that their main negative impacts may be compensated through the design of the tax and the use of the generated fiscal revenues

global patterns of materials use a socioeconomic and geophysical analysis abstract human use of materials is a major driver of global environmental change the links between materials use and economic development are central to the challenge of decoupling of materials use and economic growth dematerialization this article presents a new global material flow dataset compiled for the year 2000 covering 175 countries including both extraction and trade flows and comprising four major material categories biomass construction minerals fossil energy carriers and ores industrial minerals first we quantify the variability and distributional inequality gini coefficients in international material consumption we then measure the influence of the drivers population gdp land area and climate this analysis yields international income elasticities of material use finally we examine the coupling between material flows and between income and material productivity measured in economic production per tonne material consumed material productivity is strongly coupled to income and may thus not be suitable as an international indicator of environmental progress a finding which we relate to the economic inelasticity of material consumption the results demonstrate striking differences between the material groups biomass is the most equitably distributed resource economically the most inelastic and is not correlated to any of the mineral materials the three mineral material groups are closely coupled to each other and economic activity indicating that the challenge of dematerializing industrial economies may require fundamental structural transformation our analysis provides a first systematic investigation of international differences in material use and their drivers and thus serves as the basis for more detailed future work

the effects of border crossing frequencies associated with carbon footprints on border carbon adjustments abstract the fragmentation of production across national boundaries has become an important feature of the world economy this present paper adopts the viewpoint that not only the size and composition of carbon footprints are relevant but also the border crossing frequency associated with these carbon footprints which is defined as the number of borders a product crosses in a supply chain this process will affect the spatial accounting of the carbon emissions produced to support the economic activity the calculation of border crossing frequencies of carbon footprint is accomplished by decomposing the leontief inverse matrix derived from the world input output database we find that the aggregated average border crossing frequencies of carbon footprints show an increasing tendency which is influenced by the economic crisis obviously the policy application focuses on the united states which we assume to levy carbon tariffs on foreign emissions embodied in imports we find that the indirect carbon tariff on emissions embodied in international trade take a significant share the border carbon adjustments are mainly targeted at emissions generated in china which also pays the greatest share of the tariff burden the implication of carbon tariffs faces the problem of multiple taxation

forecasting the var of crude oil market do alternative distributions help abstract accurate modeling of the empirical distribution of crude oil market returns is extremely important in estimating risk measures in addition to several commonly used distributions alternative distributions are explored in this study some of which account for the asymmetry and heavy tails simultaneously found in distributions and contain more tail parameters to separately depict the right and left tails when forecasting the value at risk var of crude oil markets during highly volatile periods seven backtests are also conducted to compare the var forecasting accuracy among different distributions the empirical results indicate that a highly volatile environment challenges the commonly used distributions and the four risk models based on commonly used distributions are rejected about 27 to 38 of the time the alternative distributions i e skewed general error distributions sged generalized hyperbolic skewed student t distributions ghst and generalized asymmetric student t gast distributions generally produce more accurate var measurement and gast gives the best measurement accuracy the empirical results imply that risk managers or policymakers should further consider more flexible distributions such as sged ghst or gast in particular when quantifying or managing the risk in turbulent market times

foreign trade and declining pollution in sweden a decomposition analysis of long term structural and technological effects this article examines whether there exists any causal relationship between foreign trade and declining pollution in developed countries in other words do developed countries outsource their problems to less developed countries rather than solve them the case study is the swedish economy and the two environmental indicators employed are energy consumption and co2 emissions no causal relationships are found since sweden has long been a net exporter of embodied energy and co2 and continues to be so after 1970 when energy consumption stabilizes and co2 emissions decline in addition the ratios of net exported energy and co2 to total consumption remain stable which means there were no effects on the energy intensity or co2 intensity either these results suggest that internal forces like efficiency improvements changed consumption patterns and transformation of the energy system have been crucial for relative environmental improvement in sweden while foreign trade has played no role

to each their own the greenhouse gas impacts of intra household sharing in different urban zones abstract decreasing household size is a global trend driven by urbanization and multiple other socioeconomic trends going solo poses a great environmental challenge as the possibility to benefit from scale economies in consumption and its greenhouse gas impacts is not taken advantage of in other words understanding of intra household sharing patterns of different consumption categories is increasingly important in climate change mitigation this paper explores the relationship between household sizes urban structures and greenhouse gas impacts of lifestyles when urban areas grow outwards the household sizes also grow as a result of this the increase in intra household sharing seems to alleviate the negative ghg implications of urban sprawl which is highly logical but yet not comprehended thus the rise of collaborative consumption offers potential to reduce the greenhouse gas emissions of solo dwellers and compensate for the lower intra household sharing with inter household sharing

sustainability assessment of u s final consumption and investments triple bottom line input output analysis the u s final demand categories such as household consumption private fixed investments government purchases and investments and export of goods and services have a wide range of environmental economic and social impacts analysis of these impacts termed as the triple bottom line tbl stimulated a tremendous interest by policy makers over the last decade therefore current research aims to analyze the tbl of u s final demands from a systems perspective to accomplish this goal the supply and use tables published by the u s bureau of economic analysis are merged with a range of environmental economic and social metrics the results show that household consumption has the largest indirect tbl sustainability impacts compared to other final demand categories with shares that range between 43 and 88 industrial sectors including manufacturing utilities agriculture construction transportation and mining are generally found to be responsible for the highest impacts for most of the environmental impact categories service sectors generally have the highest impacts on the economic and social indicators of sustainability analysis results also indicate that while meeting the household demand agriculture utilities and manufacturing sectors have relatively more environmental impacts than their contributions to gross domestic product gdp whereas service sectors contribute to gdp with a higher share than their environmental burdens furthermore it is envisioned that significant reductions in environmental footprints of u s households can be achieved if environmental policies that aim to reduce the household consumption are also supported with sustainable growth through greener and resource efficient economy

income inequality and carbon dioxide emissions the case of chinese urban households abstract this paper draws on chinese survey data to investigate variations in carbon dioxide emissions across households with different income levels rich households generate more emissions per capita than poor households via both their direct energy consumption and their higher expenditure on goods and services that use energy as an intermediate input an econometric analysis confirms a positive relationship between emissions and income and establishes a slightly increasing marginal propensity to emit mpe over the relevant income range the redistribution of income from rich to poor households is therefore shown to reduce aggregate household emissions suggesting that the twin pursuits of reducing inequality and emissions can be achieved in tandem

carbon taxation prices and welfare in new zealand abstract this paper examines the effects on consumer prices arising from imposing a carbon tax in new zealand using information about inter industry transactions and the use of fossil fuels by industries the welfare effects of the carbon tax are examined for a range of different household types finally overall measures of inequality are reported

income inequality and carbon emissions in the united states a state level analysis 1997 2012 abstract this study investigates the relationship between u s state level co 2 emissions and two measures of income inequality the income share of the top 10 and the gini coefficient each of the inequality measures which focus on unique characteristics of income distributions is used to evaluate the arguments of different analytical approaches results of the longitudinal analysis for the 1997 to 2012 period indicate that state level emissions are positively associated with the income share of the top 10 while the effect of the gini coefficient on emissions is non significant the statistically significant relationship between co 2 emissions and the concentration of income among the top 10 is consistent with analytical approaches that focus on political economy dynamics and veblen effects which highlight the potential political and economic power and emulative influence of the wealthy the null effect of the gini coefficient is generally inconsistent with the marginal propensity to emit approach which posits that when incomes become more equally distributed the poor will increase their consumption of energy and other carbon intensive products as they move into the middle class

market risk in commodity markets a var approach we put forward value at risk models relevant for commodity traders who have long and short trading positions in commodity markets in a 5 year out of sample study on aluminium copper nickel brent crude oil and wti crude oil daily cash prices and cocoa nearby futures contracts we assess the performance of the riskmetrics skewed student aparch and skewed student arch models while the skewed student aparch model performs best in all cases the skewed student arch model delivers good results and its estimation does not require non linear optimization procedures as such this new model could be relatively easily integrated in a spreadsheet like environment and used by market practitioners

quantifying the global and distributional aspects of american household carbon footprint abstract analysis of household consumption and its environmental impact remains one of the most important topics in sustainability research nevertheless much past and recent work has focused on domestic national averages neglecting both the growing importance of international trade on household carbon footprint and the variation between households of different income levels and demographics using consumer expenditure surveys and multi country life cycle assessment techniques this paper analyzes the global and distributional aspects of american household carbon footprint we find that due to recently increased international trade 30 of total us household co 2 impact in 2004 occurred outside the us further households vary considerably in their co 2 responsibilities at least a factor of ten difference exists between low and high impact households with total household income and expenditure being the best predictors of both domestic and international portions of the total co 2 impact the global location of emissions which cannot be calculated using standard input output analysis and the variation of household impacts with income have important ramifications for polices designed to lower consumer impacts on climate change such as carbon taxes the effectiveness and fairness of such policies hinges on a proper understanding of how income distributions rebound effects and international trade affect them

the role of co2 embodiment in us china trade abstract this study examines the influence of us china trade on national and global emissions of carbon dioxide co2 the three basic questions are as follows 1 what amount of co2 emissions is avoided in the us by importing chinese goods 2 how much are co2 emissions in china increased as a result of the production of goods for export to the us and 3 what are the impacts of us china trade on global co2 emissions our initial findings reveal that during 1997 2003 1 us co2 emissions would have increased from 3 to 6 if the goods imported from china had been produced in the us 2 about 7 14 of china s current co2 emissions were a result of producing exports for us consumers and 3 us china trade has increased global co2 emissions by an estimated 720 million metric tons we suggest that the export of us technologies and expertise related to clean production and energy efficiency to china could be a win win strategy for both countries for reducing their trade imbalance and mitigating global co2 emissions improved international accounting methodologies for assigning responsibility for co2 emissions must be designed to account for the dynamic nature of international trade

forecasting petroleum futures markets volatility the role of regimes and market conditions in this paper we employ regime volatility models to describe time dependency in petroleum markets using a sample of nymex and ice futures contracts we establish the existence of a regime process and link this process to market fundamentals this formulation results in two distinct states a highly persistent conditional volatility process characterised by long memory and low sensitivity to market shocks and a relatively short lived nonstationary process with less memory but higher sensitivity to shocks moreover to investigate the relationship between disequilibrium and volatility of oil futures across high and low volatility regimes we use augmented regime garch models to address in a realistic way the potential diverse response of volatility to forward curve shocks the performance of these models is compared to benchmarks using both statistical tests and risk management loss functions to test the robustness of the forecasting strategies we also perform a reality check employing the stationary bootstrap approach the findings of this paper have important implications for decision making concerning trading and risk management as well as energy market operations such as refining and budget planning by providing valuable information on the oil price volatility dynamics and the ability to predict risk

the distribution of material footprints in germany this study investigates the within country heterogeneity of material footprints implied by households consumption in germany material footprints are defined as the amount of biomass minerals and fossil fuels extracted to produce the goods that households consume combining input output data with households consumption expenditures from the german sample survey of income and expenditure evs we present the first comprehensive study on the distribution of material footprints among households highlighting hot spots of unsustainable consumption patterns by household groups households in the quartile with the highest consumption expenditures have material footprints three times as large as those in the quartile with the lowest expenditures results of a microeconomic model of household s consumption behaviour estimated on the evs data suggest that price based instruments can reduce material footprints of luxury consumption such as leisure and private transport without imposing large burdens on low affluence households the material footprints caused by energy consumption do not react sensitively to price changes suggesting that non price policies are more effective to reduce them

the carbon footprint of european households and income distribution abstract this paper calculates the carbon footprint of private consumption in the eu27 by five groups of household income using a fully fledged macroeconomic input output model covering 59 industries and five groups of household income for the eu27 due to macroeconomic feedback mechanisms this methodology besides induced intermediate demand also quantifies i private consumption induced in the other household groups ii impacts on other endogenous final demand components and iii negative feedback effects due to output price effects of household demand the carbon footprint is calculated separately for the consumption vector of each of the five income groups the simulation results yield a non linear income elasticity of direct and indirect emissions at each income level the value of the direct footprint income elasticity decreases from 1 32 first quintile to 0 69 fourth quintile the value of the indirect footprint income elasticity is always below unity and decreases from 0 89 to 0 62 the results in general reveal a relative decoupling effect the share of the top income group in income 45 is much larger than its share in the carbon footprint 37 and vice versa for the bottom income group 6 in income and 8 in footprint