structural decomposition analysis of sources of decarbonizing economic development in china 1992 2006 abstract to analyze and understand decarbonizing economic development in china this paper undertakes a structural decomposition analysis of the historical change in energy related carbon intensity in china between 1992 and 2006 the results show that the energy related carbon intensity in china decreased by about three fourths between 1992 and 2006 and reduced carbon emissions by about two billion tons the decline in the energy related carbon intensity was mainly caused by changes in production pattern especially changes in energy intensity within each sector between 1992 and 2002 however the most important driving force of carbon intensity from 2002 2006 was not the energy intensity within each sector but the input mix on the other hand changes in demand pattern pushed up the carbon intensity to further decarbonize the economy in the future it is important for china to further enforce policies on shaping the production pattern such as reducing energy intensity and pay more attention to increasing the sustainability of the demand pattern at the same time

is the co2 emissions reduction from scale change structural change or technology change evidence from non metallic sector of 11 major economies in 1995 2009 the contribution of non metallic sector to global co2 emissions is increasing however there are very few studies on non metallic sector co2 emissions from international comparative perspective this paper proposes an integrated model employing lmdi logarithmic mean divisia index decomposition technique and topsis the technique for order preference by similarity to ideal solution method to contribute to the existing literature by filling the gap that the drivers of aggregate and national level non metallic sector co2 emissions and its impacts on co2 emissions reduction have not been estimated by relevant models first we analyze drivers of non metallic sector co2 emissions in bric countries and g7 countries using lmdi decomposition method second we evaluate the low carbon development of non metallic sector in the 11 major economies from a comprehensive viewpoint of main drivers using topsis assessment model finally based on the results of the model this paper presents some implications for the non metallic sector co2 emissions reduction and low carbon development

the role of intermediate trade in the change of carbon flows within china in recent years evaluating the emissions embodied in trade eeit has become an important area of policy and research multiregional input output mrio analysis which links producers and final consumers is a widely used method for quantifying the eeit however the role of intermediate trade in driving changes in the eeit is still not fully incorporated in mrio analysis and as a result poorly understood here we present a framework that separately identifies the drivers of the emissions embodied in the trade of final and intermediate products we implement this framework in a case study in which we analyse the changes in co2 emissions embodied in interprovincial trade in china from 2007 to 2012 we find that the largest changes are a rising final demand which is associated with increased emissions that are to some extent offset by decreasing emissions intensity and changing interregional dependency regionally the rising imports and the growth in final demand in less developed regions in the north and central e g hebei and henan reduced the co2 emissions outsourced by central coastal regions and drove the traded embodied co2 flows between the central and western regions the framework enriches our understanding of the role played by intermediate trade in the relocation of emissions

the structural changes and determinants of household energy choices and energy consumption in urban china addressing the role of building type abstract understanding the energy use and choice behaviors in urban china is essential to curb its energy consumption and air pollutant emissions current energy consumption estimates for urban households in china rarely account for the effects of building types on energy choice behavior thus may lead to biased policy implications in this paper we estimate the determinants of household energy consumption for different energy choice scenarios through the seemingly unrelated regression sur model using urban household data the empirical results show that household use of various energy carriers is driven by household income fuel price demographics building attributes and lifestyles results show building types have a significant effect on household energy consumption behaviors households living in old houses have less access to clean energy such as piped gas income and price elasticities of energy consumption vary with energy type in each scenario and there exist certain substitution effects among different types of energy carriers in particular inter fuel substitute elasticities between coal and clean energy are asymmetric our study highlights the significance of city planning and infrastructure expansion policies and also offers a better basis for coordinating and designing energy policies in urban china and other developing countries

technological change and the rebound effect in the stirpat model a critical view abstract technological change is key to understand the explanatory variables behind environmental impacts in the context of the stirpat stochastic impacts by regression on population affluence and technology model an adequate representation and analysis of the significance of the technology variable t in the stirpat model becomes crucial even more if one aims to better understand underlying processes such as the environmental rebound effect e re a critical review of the application of the stirpat model has been conducted to understand the diversity and value of the variables scopes assumptions statistical approaches and the environmental impacts commonly studied the findings highlight that despite the multiple applications and the high potential of the stirpat model inconclusive results and or knowledge gaps remain notably 1 a geographical imbalance in the scope of studies 2 the almost exclusive focus on carbon emissions 3 a lack of agreement on the choice of data additional explanatory variables and regression models 4 a lack of consensus on how to approximate t and 5 a lack of explicit analyses of the e re our findings are useful to both policymakers and academics for method design further research and policy evaluation

structural changes and sustainability a selected review of the empirical evidence abstract the paper offers a review of selected topics in the empirical literature on structural change and sustainability we focus on aspects of structural change that directly affect emissions and energy intensity changes of the sectoral composition of economies trade and international fragmentation of production technological change and innovation and demand we identify several empirical facts first only a few countries have experienced a decoupling between growth and emissions due to proportionately faster growth rather than greater energy efficiency second the long term shift from manufacturing to services has not led in all cases to the de materialisation of economies and a lower environmental burden exploitation of energy efficiency increases depends on the ability of the service sectors to incorporate technical changes to reduce energy intensity third global trade and energy and emissions intensity trends support the pollution haven hypothesis which predicts displacement of the environmental burden from developed to emerging countries the pursuit by developing countries of a long term strategy of trading jobs for emissions is likely to exacerbate the asymmetry related to emissions intensities between developed and less developed economies the review should inform debate on environmental policy within the broader context of innovation and development policies

the implications of industrial development for diversification of fuels abstract the central role of energy in economic growth and development is substantiated by both theory and data much of the analysis of energy in economics has focused on the study of the aggregate output here we deviate from this approach and study the role of fuel diversification in industrial development we build the energy space describing the space of energy technologies which a country can use in the production of manufacturing goods as countries grow they diversify their industries producing more diverse products over time we show that the process is accompanied by diversification of fuels which countries use in the manufacturing sector in particular countries move in the energy space by adopting novel fuels while their movements can be linked to structural changes in the industry over time countries build unique production capabilities which drives divergence in fuel diversity between countries our results provide insight into the limits of fuel substitution in the manufacturing sector as well as they carry important implications for the assessment of potential reductions in co 2 emissions in the future

decomposing final energy use for heating in the residential sector in austria abstract in austria a considerable number of measures have been implemented to reduce final energy use for residential heating since the 1990s the aim of this analysis is to investigate why despite these implemented measures final energy use for heating has not decreased in the expected way the impact of eight factors on final energy use for heating is quantified by applying the logarithmic mean divisia index lmdi i method the dataset covers the sector of private households in austria for the period from 1993 to 2009 the main findings of the analysis are 1 while technical improvements reduce final energy use for heating significantly rising comfort needs nearly outweigh these savings 2 consumer behaviour reduces calculated final energy use considerably 3 the extent of this reduction is declining significantly in the period observed 4 the growing share of single family houses has increased energy demand for heating in the observed period though a reversal of this trend is detected from 2007 onwards 5 the impact of growing floor space per person is the major effect revealed by the analysis 6 weather conditions have a major impact on annual fluctuations of energy consumption

account for sector heterogeneity in china s energy consumption sector price indices vs gdp deflator abstract a common practice in decomposition analyses is to deflate output indicators to purge the impact of inflation by using a general deflator this practice fails to account for sector heterogeneity and can be hazardous although the general identified patterns are largely correct the calculated magnitudes can be misleading or even wrongly signed instead it is strongly recommended that sector heterogeneity is accounted for by using individual sector price indices for all relevant sectors instead of one general gdp deflator this paper analyzes this advanced decomposition using chinese data and compares to the usual method of using only one deflator it is found that while most differences are only of quantitative quality some show even a qualitative difference furthermore the rising energy intensity in the early 2000s which has been discussed by previous studies vanishes completely

co2 embodiment in china australia trade the drivers and implications abstract this study focuses on co 2 emissions embodied in the characteristic china australia bilateral trade which refer to the co 2 emissions due to the production of goods traded between the two countries we perform an assessment of the co 2 embodiment in the trade during the period between 2002 and 2010 we find that the scale effect has been a dominant effect contributing to an increase of co 2 emissions embodied in the bilateral trade through the years while the composition effect seems to be a major driver for reducing co 2 embodiment in the exports of australia to china based on an analysis of the difference between the amounts of actual co 2 embodiment and those in a hypothetical no trade scenario we estimate that the net co 2 emissions due to the bilateral trade declined from around 10 mt of co 2 emissions in 2002 to 10 mt in 2010 that is the bilateral trade contributed to a reduction of the global carbon emissions in the recent years this finding suggests that the rapid growth of exports of carbon intensive goods from australia to china has helped in reducing carbon emissions globally because carbon intensity factors of those goods are much lower in australia than those in china

an analysis of the driving forces of co2 emissions embodied in japan china trade abstract by using the latest china japan input output data sets and the index decomposition analysis ida approach this article analyzes the driving forces of co2 emissions embodied in trade between the two countries during 1990 2000 we found that the growth of trade volume had a large influence on the increase of co2 emissions embodiments in bilateral trade the dramatic decline in carbon intensity of the chinese economy is a primary cause in offsetting co2 emissions exported from china to japan over 1995 2000 we argue that a better understanding of the factors affecting co2 emissions embodied in international trade will assist in seeking more effective climate policies with wider participation in the post kyoto regime

implementation of energy efficiency projects by dutch industry as potentials for energy savings are huge industry can provide a major contribution to energy savings goals this paper focuses on the energy savings realized under the dutch voluntary agreements in the period 2001 2011 participants in these schemes are obliged to plan and implement all measures with a payback period of less than 5 years this paper shows how many of these projects have been implemented and how much savings they generate our findings show that large differences exist in the realized savings between individual companies there is however no significant difference in savings observed between companies that participate in the emission trading system ets and companies that do not although it is impossible to disentangle the drivers behind the implementation of these projects the amount of savings suggest that at least part of them was implemented because of different energy policy instruments

embodied carbon in china s foreign trade an online sci e and ssci based literature review abstract this paper systematically presents a survey of the empirical literature studying the embodied co2 emissions in china s foreign trade ecct based on the bibliometric method and the online version of science citation index expanded sci e and social sciences citation index ssci this study summarizes the latest publications regarding ecct in peer reviewed journals in terms of quantities most productive countries institutions authors citations and disciplines by using synthetic analysis of keyword frequency this study reveals the most popular methodologies applied in measuring ecct discusses the variation of numerical results in the literature and reasons and countermeasures for the results uncertainties continuous investigation of the literature releases the methodology employed for measuring ecct becoming more reasonable and the results more critical however the numerical results of ecct are of great discrepancies within given year by different considerations on methodology specification accounting principles and data sources and processing for instance the estimates of co2 embodied in china s exports changed from 478 mt to over 3000 mt and those of in china s imports ranged from 140 mt to over 1700 mt in 2007 therefore overcoming data inherent limitations and reducing discrepancies among available databases should be urgently considered the results imply that the prospective research tendencies on ecct are to 1 improve china s regional input output data and energy intensity data to more precise estimates under global perspective 2 estimate china s carbon emission at firm level by different firm ownerships in production and consumption worldwide 3 assess china s carbon emission from processing or non processing trade by compiling more detailed multi regional input output table 4 evaluate city level carbon mitigation capacity in china under global mrio model 5 explore new carbon management experience in china s carbon trading market and new trade expansion policy of one belt and one road in her new growth era

decoupling economic growth from carbon dioxide emissions in china a sectoral factor decomposition analysis china is facing the dilemma of how to coordinate economic development and carbon dioxide co2 emissions reduction this paper investigates the decoupling effect of economic growth from co2 emissions in china during the period 1992 2012 using the logarithmic mean divisia index lmdi method we decompose the driving forces of the decoupling of economic growth from co2 emissions in china s five major economic sectors into several factors and measure the contribution of each factor to the decoupling of china s overall economy from co2 emissions the results show that china performed the weak decoupling of economic growth from co2 emissions during 1992 2012 and so did all its five major sectors such a state did not occur smoothly and presented five different stages energy intensity and economic activity level were the most important factors affecting the decoupling in china energy intensity decreased in all sectors indicating a large acceleration for the sectoral decoupling states this finding is applicable to process carbon intensity in industrial sector and energy emission factor in agricultural industrial construction and service sectors in terms of sectoral effects on the decoupling in china industrial sector played a dominant role while construction sector had the most marginal influence the economic activity level and economic share of industrial sector exerted the most negative effects on the decoupling the energy intensity of industrial sector played a key role in promoting the national decoupling state while the energy emission factor of agricultural sector contributed the least

changes in energy requirements of the residential sector in india between 1993 94 and 2006 07 abstract a substantial amount of primary and secondary energy is consumed by the residential sector residential energy consumption includes energy required for construction activity and household consumption hence there is a need to quantify energy consumption its significance and causes calculating energy intensity of goods and services is the first step towards quantifying the causes this research is based on the 115 sector classification input output tables for india for 1993 94 1998 99 and 130 sector classification input output tables for 2003 04 and 2006 07 energy intensity of sectors related to household consumption has been calculated to analyze the trend between 1993 94 and 2006 07 indirect energy requirements of indian households have been assessed in this study from calculations of total primary energy intensity along with private final consumption expenditure results indicate that energy consumption has increased for all categories except medical care and hygiene percentage increase in indirect primary energy consumed by households is maximum for house building and recreation categories finally a complete decomposition analysis of indirect primary energy consumed by households has been carried out based on changing structural composition of the private final consumption expenditure energy intensity patterns per capita expenditures on energy and population

contribution of demand shifts to industrial so 2 emissions in a transition economy evidence from china abstract for the past 20 years sulfur dioxide so2 emissions control has been a goal in china whose economy has been characterized as fast growing and in enormous transition as a prerequisite for effective future so2 emissions control a detailed investigation is needed to uncover and assess the contributions to changes in so2 emissions of key underlying drivers associated with china s evolving demand structure using structural decomposition analysis sda considering industrial characteristics and sector interactions this study identifies the underlying drivers behind china s demand structure shifts as well as their contributions to changes in industrial so2 emissions the results show that the change in total final demand was the largest driver of the increase in so2 emissions resulting in an increase of 36 64 million tons mt so2 emissions during the time period 1997 to 2012 from the final demand perspective the change in capital formation was the largest contributor resulting in an increase of 16 78 mt so2 emissions and accounting for 45 of the increase due to final demand shifts the construction industry was the primary trigger of industrial so2 emissions growth caused by shifts in final demand with an induced amount impact on other industries of so2 emissions of 10 14 mt the key drivers capturing shifts in final demand were mainly capital formation in the construction industry capital formation and exports in technology intensive industries and consumption in the services industries the recommendation is that to control industrial so2 emissions china should depend first on its economic transition that includes technology improvements and industry structure optimization for both final demand and production

the role of consumption patterns demand and technological factors on the recent evolution of co2 emissions in a group of advanced economies changes in production structures and modifications of patterns of consumption are key factors in the fight against environmental harm initiatives such as agenda 21 promoted by the un highlight the need to evaluate the relationships among factors of production and consumption innovation and demographics and the environment in the attainment of sustainable development in this context our work studies in depth those factors underlying the economic activity of households in a representative group of european union countries and the us within the framework of an input output model a structural decomposition analysis is considered in order to identify the weight that growth in demand changes in patterns of consumption changes in the distribution of income the substitution of inputs and changes in energy intensity have all had on the evolution of co2 emissions the work specifically seeks to identify common patterns and differential behaviors among productive sectors in the european social environment the results show that growth in demand and therefore in production largely absorbs the limited effect of technological and efficiency improvements and the incipient changes observed in consumption patterns

measuring energy performance with sectoral heterogeneity a non parametric frontier approach abstract evaluating economy wide energy performance is an integral part of assessing the effectiveness of a country s energy efficiency policy non parametric frontier approach has been widely used by researchers for such a purpose this paper proposes an extended non parametric frontier approach to studying economy wide energy efficiency and productivity performances by accounting for sectoral heterogeneity relevant techniques in index number theory are incorporated to quantify the driving forces behind changes in the economy wide energy productivity index the proposed approach facilitates flexible modelling of different sectors production processes and helps to examine sectors impact on the aggregate energy performance a case study of china s economy wide energy efficiency and productivity performances in its 11th five year plan period 2006 2010 is presented it is found that sectoral heterogeneities in terms of energy performance are significant in china meanwhile china s economy wide energy productivity increased slightly during the study period mainly driven by the technical efficiency improvement a number of other findings have also been reported

supply side structural effect on carbon emissions in china abstract this paper carries out a structural decomposition analysis sda of production related carbon emissions in china from 1992 to 2005 by adopting the ghosh input output model it finds that the supply side structure measured by sectoral shares in value added increased production related carbon emissions in 1992 2002 mainly due to the rapid growth of manufacturing sectors but reduced them in 2002 2005 thanks to the decreased shares of carbon intensive sectors whatever the supply side structure forward carbon multipliers of each sector or changes in supply side sectoral shares and related emissions effects calculated by adopting the ghosh input output model were different from their demand side counterparts estimated by adopting the leontief input output model the results suggest optimizing the supply side structure and lowering the forward carbon multipliers to control carbon emissions in the future

application of the structural decomposition analysis to assess the indirect energy consumption and air emission changes related to italian households consumption abstract the design of sustainable production and consumption strategies and the assessment of implemented actions require to identify the driving forces that influence the trend of energy consumption and environmental impacts for this purpose the structural decomposition analysis sda was developed as a suitable methodology to analyse the driving forces of the changes in economic energy and environmental indicators the paper presents one of the first italian studies that apply an energy and environmental extended input output model opportunely shaped to the examined context combined with sda in detail it aims at 1 investigating the energy use and the air emissions arisen from the productive sectors to meet the household final demand in the period 1999 2006 2 identifying the sources of variations in energy and environmental indicators and 3 identifying which economic sectors are the most relevant sources of variation and must to be taken into account in the definition of sustainable production and consumption strategies as sources of changes the authors investigate energy and emission intensity effects leontief effect and final demand effect outcomes point out that the increase of the final consumptions often nullifies the energy and environmental benefits due to the improvement of the eco efficiency and to the introduction of innovative technologies of production the sector level analysis shows that tertiary and electricity gas and vapour result the highest italian consuming sectors of energy thus they should be focused for energy saving strategies agriculture hunting and sylviculture and road transports that are primarily sectors affecting air emissions should be taken into account for the reduction of environmental impacts results highlight that the current dichotomy of final demand growth and improvement of eco efficiency represents a key problem that needs to be addressed therefore the presented study can aid to define suitable oriented strategies for the energy and environmental impact reduction

comparing structural decomposition analysis and index to analyze and understand historical changes in economic environmental employment or other socio economic indicators it is useful to assess the driving forces or determinants that underlie these changes two techniques for decomposing indicator changes at the sector level are structural decomposition analysis sda and index decomposition analysis ida for example sda and ida have been used to analyze changes in indicators such as energy use co2 emissions labor demand and value added the changes in these variables are decomposed into determinants such as technological demand and structural effects sda uses information from input output tables while ida uses aggregate data at the sector level the two methods have developed quite independently which has resulted in each method being characterized by specific unique techniques and approaches this paper has three aims first the similarities and differences between the two approaches are summarized second the possibility of transferring specific techniques and indices is explored finally a numerical example is used to illustrate differences between the two approaches

economic growth and the evolution of water consumption in spain a structural decomposition analysis abstract the aim of this paper is to examine how technology processes of input substitution and changes in final demand all of which underlie economic growth influence water consumption this analysis is undertaken for spain during a significant socio economic period from 1980 the beginning of the democratic era to 2007 the onset of the current economic crisis to this end we construct water consumption series linked to a time series of input output tables generated for the spanish economy and we develop a structural decomposition analysis to study mainly changes in water consumption embodied in final demand we find that the growth in spanish demand all other things being constant would have implied an increase in water consumption almost three times the growth actually observed however this demand effect is largely offset by technology and intensity effects mainly due to changes in agricultural crops given the importance of the demand growth the final demand effect is also analyzed in detail broken down by categories as well as level and composition household demand and the increase of exports appear as key explicative factors

decomposing the change of co2 emissions a joint production theoretical approach this paper presents an alternative decomposition method to explore the driving forces of change in carbon emissions by using distance functions estimated by data envelopment analysis the proposed approach can isolate the effects of changes in gdp composition and energy supply composition on the change of carbon emissions in addition it is capable of identifying the effects of changes in different input ratios which may be very important if there are substitution effects among different inputs moreover the proposed model can measure the effects of changes in good and bad output technical efficiencies consequently this decomposition technique allows a change of carbon emissions to be decomposed into contributions from ten factors which provides more insights for policy makers we apply this model to decompose carbon emissions in 25 oecd counties and china for the sample countries as a whole the empirical results indicate that the economic growth is the crucial driver to carbon emissions increase while the changes in gdp composition and capital energy ratio are two main drivers to carbon emissions reduction in particular we discuss in detail the driving forces of china s carbon emissions change in order to propose some valuable policy implications for china from an international perspective

coupling model of energy consumption with changes in environmental utility abstract this study explores the relationships between metropolis energy consumption and environmental utility changes by a proposed environmental utility of energy consumption euec model based on the dynamic equilibrium of input output economics theory it considers three simulation scenarios fixed technology technological innovation and green building effect it is applied to analyse hong kong in 1980 2007 continual increase in energy consumption with rapid economic growth degraded environmental utility first energy consumption at fixed technology was determined by economic outcome in 1990 it reached a critical balanced state when energy consumption was 22 109 kwh before 1990 x1 22 109 kwh expansion of energy consumption facilitated socio economic development but suppressed environmental benefits second technological innovation strongly influenced energy demand and improved environmental benefits the balanced state remained in 1999 when energy consumption reached 32 33 109 kwh technological innovation dampened energy consumption by 12 99 exceeding the fixed technology condition finally green buildings reduced energy consumption by an average of 17 5 in 1990 2007 they contributed significantly to energy saving and buffered temperature fluctuations between external and internal environment the case investigations verified the efficiency of the euec model which can effectively evaluate the interplay of energy consumption and environmental quality

technological gap scale economy and china s industrial energy demand abstract the industrial sector in china is energy intensive and accounts for more than 60 of the nation s total energy consumption demand narrating the story behind the growth of china s industrial energy consumption could help us understand the past and prepare for the future this paper aims to investigate the factors affecting china s industrial energy consumption in the 21st century by using an extended production theoretical decomposition approach pda with considering the technological gap and scale of the economy effects the new proposed decomposition framework includes four new factors namely the energy technological gap the output technological gap energy scale efficiency and output scale efficiency the results show that in the 21st century the energy consumption of china s industry increased by more than one billion tons of standard coal the expansion of the industrial economy is a dominant driver of china s industrial energy consumption while potential energy intensity energy technology and output technology are the three largest energy saving factors in addition to the conventional factors the newly proposed factors also have important effects on china s industrial energy consumption specifically output scale efficiency is an energy saving factor while the energy technological gap output technological gap and energy scale efficiency are drivers of energy consumption this suggests that china s industry is at the stage of returns to scale that is beneficial to output performance but harmful to energy performance meanwhile the widening of the industrial technological gaps has negative impacts on china s industrial energy conservation the proposed decomposition approach can provide information that cannot be obtained from traditional approaches and it can also be applied to many other cases for investigating feasible paths of energy saving and emissions reduction

decomposition of tourism greenhouse gas emissions revealing the dynamics between tourism economic growth technological efficiency and carbon emissions abstract this study proposes an analytical framework for decomposing the national tourism carbon footprint and carbon efficiency to identify the dynamics between economic growth technological efficiency and environmental externality using the environmentally extended input output model and decomposition methods tourism carbon changes are decomposed into the economic factors of total consumption and purchasing patterns and the production factors of industry input structure and technological improvement this macro level approach provides a basis for 1 assessing whether total tourism emissions increase in direct proportion to tourism consumption over time 2 tracing the underlying determinants and their effects on tourism emissions expansion and eco efficiency performance and 3 comparing the carbon performance of the tourism industry against the national average based on the example of taiwan the results demonstrate that we are a long way from the goal of using the technological efficiencies of production to offset tourism based carbon emissions

identifying critical supply chain paths that drive changes in co2 emissions abstract to address the problem of global warming it is important to identify the supply chain paths that drive changes in life cycle co2 emissions and provide both policy makers and decision makers with the information on the critical paths in order to efficiently reduce the co2 emissions in this article i extract and analyze the factors and key supply chains involved in changes in co2 emissions associated with japan s overall demand from 1990 to 2000 using the structural path decomposition spd method applied to the 1990 1995 2000 linked japanese environmental input output tables at the four digit commodity classification level the results reveal that the volume of co2 emissions increased as a result of changes in the input structure of the electricity of the services sector such as electricity amusement and recreation facilities household demand electricity retail trade household demand and electricity public administration local local government demand indicating increasing dependence of services on energy input i also find that the final demand shift changed co2 emissions for example the rise in demand for integrated circuits in exports has contributed to increasing co2 emissions generated from electricity the fall in demand for frozen fish and shellfish in household demand has contributed to decreasing co2 emissions from marine fisheries

why did china s energy intensity increase during 1998 2006 decomposition and policy analysis abstract despite the fact that china s energy intensity has continuously decreased during the 1980s and mostly 1990s the decreasing trend has reversed since 1998 and the past few years have witnessed rapid increase in china s energy intensity we firstly conduct an index decomposition analysis to identify the key forces behind the increase it is found that 1 the high energy demand in industrial sectors is mainly attributed to expansion of production scale especially in energy intensive industries 2 energy saving mainly comes from efficiency improvement with energy intensive sectors making the largest contribution and 3 a heavier industrial structure also contributes to the increase this study also makes the first attempt to bridge the quantitative decomposition analysis with qualitative policy analyses and fill the gap between decomposition results and policy relevance in previous work we argue that 1 energy efficiency improvement in energy intensive sectors is mainly due to the industrial policies that have been implemented in the past few years 2 low energy prices have directly contributed to high industrial energy consumption and indirectly to the heavy industrial structure we provide policy suggestions in the end

a two tiered attribution structural decomposition analysis to reveal drivers at both sub regional and sectoral levels a case study of energy consumption in the jing jin ji region abstract structural decomposition analysis sda is a very commonly used method for exploring the driving forces of environmental pressure ep enhanced with attribution analysis sda can further decompose the driving forces of ep into economic sectors or sub regions and provide more detailed evidence based policymaking however current studies of sda with attribution analysis have not been sufficiently developed and are only one tiered i e they decompose the driving forces of ep into either a sub regional or an economic sectoral level in this study we introduce a method of sda with a two tiered attribution analysis which is capable of 1 exploring the driving force of environmental pressure at a multi regional level and 2 further decomposing the driving forces of ep into both sub regions and economic sectors based on this method we explore the driving forces for the change of energy consumption in the jing jin ji region during the period of 2007 2012 results of this case study indicate that technological change final demand structure and final demand composition respectively contributed 129 12 and 3 while affluence production structure total population and population structure respectively contributed 129 77 38 and 2 to energy consumption change in the region in terms of sub regional and economic sectoral level contributions hebei province and the chemical and smelting and rolling of metals industries were the most prominent contributors through this case study we situate the strengths and limitations of the two tiered attribution sda method and propose key policy suggestions and future research directions

sector decomposition of china s national economic carbon emissions and its policy implication for national ets development abstract uncovering the contributions of each sector s driving factors to the growth of national economic carbon emissions has great significance for china in developing its nationwide emission trading scheme ets the paper applies the index decomposition analysis ida and logarithmic mean divisia index lmdi model to discuss the underlying drivers behind china s national economic carbon emissions during the period 1996 2012 from both sector and factor decomposition perspectives and accordingly offers policy proposals for china s national ets development major conclusions include 1 six heavy industry sectors the transport storage post sector and the construction sector are the largest contributors and hence proposed for incorporation into the ets s coverage 2 the rapid expansion of economic output dominantly increases carbon emissions the design of cap on emissions should allow for a proper increment and establish a new entrant reserve to coordinate economic development 3 as the dynamics of carbon emissions vary markedly across sectors allowance allocation needs to consider the changing sectoral structure of emissions 4 the combined effects of sectoral energy intensity and structure changes largely offset carbon emissions benchmarking is suggested as an ideal allocation mechanism and the setup of sectoral carbon intensity benchmark should synthetically evaluate the potential impacts of related factors 5 manufacturer based manner and carbon offset mechanism are respectively recommended for the initial implementation of carbon trading in the transport storage post sector and the construction sector

drivers of greenhouse gas emissions in the baltic states a structural decomposition analysis since the mid 1990s three baltic states have significantly increased their per capita gross domestic product gdp and at the same time have managed to keep the co2 equivalent co2e emissions low we used structural decomposition analysis to identify the drivers of change for co2e emissions in these countries between 1995 and 2009 a period that includes the collapse of the soviet union restructuring and economic growth and the great recession the results show that final demand has been the main driving force for increasing emissions in the baltic states and would have caused an 80 64 and 143 emission increase in estonia latvia and lithuania respectively all other factors kept constant this increase has been partly offset by a declining emission intensity of the economy especially in latvia and lithuania whereas in estonia which has one of the highest emission intensities in europe a shift in consumption patterns towards low carbon consumption items and a decarbonizing economic structure were the main balancing factors it is likely that the baltic states will experience a continuation of economic growth given their relatively low per capita gdp which is less than half of the european union average thus adequate carbon policies are paramount

decomposition analysis of debt s impact on china s energy consumption abstract debt can influence the energy consumption of private sectors and public agencies by changing their fiscal budget constraints from 1996 to 2016 china has had rapid debt growth and become the second largest borrower in the world additionally china has been the largest energy consumer since 2009 the impact of debt growth on its energy consumption however is not much addressed in the literature using an extended lmdi model we investigate the impact of china s debt on its energy consumption from 1996 to 2016 in a new way the results show that 1 among the closed set of debt related factors and other conventional variables studied private debt per capita makes the strongest contribution to china s energy consumption and population has a moderate impact on the growth of energy consumption 2 energy efficiency improvement output efficiency of government debt debt structure adjustment and increased tertiary industry share are mitigating forces of energy consumption these results provide a new holistic perspective for the chinese government to formulate synergistic policies of risk control and pollution control

determinants of net carbon emissions embodied in sino german trade abstract the existing research on carbon emissions embodied in trade has been concentrated between net importing countries and net exporting countries few study has been conducted to analyze carbon emissions embodied in trade between net exporting countries to fill the research gap this work systematically investigated the net carbon emissions embodied in trade between the largest net exporter of developing countries china and the largest net exporter of developed countries german based on the non competitive input output analysis and the structural decomposition analysis was used to study the driving factors effecting the change of net embodied carbon emissions in sino german trade the results show the net carbon emissions embodied in sino german trade increased significantly with the sharp increase of net trade volume after china s accession to the world trade organization carbon transfer through trade was mainly concentrated in the carbon intensive industrial sectors in sino german trade this phenomenon was attributed to the differences in the trade structure and the production efficiency between china and germany the decomposition analysis shows china s intermediate input structure effect and the country structure effect of germany s final demand were the leading contributors to growth in net carbon emission in sino german trade which mainly was offset by china s carbon intensity effect finally some policy implications are offered

driving factors of carbon embodied in china s provincial exports in this paper we use the multi regional input output model mrio and logarithm mean divisia index approach to analyze the changes in china s carbon embodied in exports cee at the national and provincial levels the results indicate that the total cee and the cee of 17 provinces including all eastern provinces decreased between 2007 and 2010 the largest decrease in total cee is caused by an input structural effect which decreases the cee of most of the provinces the technique effect arising from changes in provincial carbon intensities causes the second largest decrease in total cee and it effectively reduces the cee of most of the provinces especially the eastern provinces changes in the export composition of most of the provinces also decrease the provincial cee a change in the provincial distribution of exports decreases the cee in 11 provinces on the one hand and increases the cee in 19 provinces on the other hand a change in export volume increases the cee of each province and the whole country but its total effect is evidently lower than the input structural effect and the technique effect c 2015 elsevier b v all rights reserved

measuring structural change and energy use decomposition of the us economy from 1997 to 2002 abstract the steadily increasing focus on energy production and consumption has led to growing research attention to patterns of energy use within economies of particular interest has been comparing the driving forces of increasing efficiency and economic structural change input output analysis ioa and decomposition analysis have become critical tools for performing such analyses this study analyzes aggregate energy use in the united states in 1997 and 2002 to discover the causes of changing energy usage and flows results show that rising population and household consumption acted to drive up energy demand but this driving force was offset by considerable structural change within the economy particularly related to a quickly increasing trade deficit in manufacturing goods thus while total energy intensity the ratio of energy use to economic output declined by approximately 12 between 1997 and 2002 changes in the structure of the economy explain this drop more than increased energy efficiency the level of aggregation at which decomposition analyses are run was identified as a crucially sensitive parameter for the determination of structural change and future studies should specifically address the amount of detail necessary to adequately measure changes in economic structure

the driving forces of china s energy use from 1992 to 2010 an empirical study of input output and structural decomposition analysis abstract the energy consumption in china has accelerated since the early 2000s and china became the largest energy consumer in the world by 2010 to examine the driving forces of china s energy use this paper conducts a structural decomposition analysis based on hybrid input output tables in addition we describe the framework of china s energy system by using two energy flow charts the results show that china s current energy use is investment led demand between 1992 and 2007 the three main final demand categories gross fixed capital formation household consumption and exports contributed approximately one third each to the changes of total energy use in china between 2007 and 2010 however three quarters of energy consumption changes came from investment activity only technological improvement saved approximately five percent of the total energy use annually during the periods of 1992 1997 1997 2002 and 2007 2010 in the period of 2002 2007 however its contribution dropped to only three percent p a due to the rise of the indirect energy requirement coefficient in the construction sector these results suggest that adjusting the final demand structure and improving energy efficiency further will meet china s energy challenges in the future

changes in energy efficiency in australia a decomposition of aggregate energy intensity using logarithmic mean divisia approach abstract this paper provides an empirical estimation of energy efficiency and other proximate factors that explain energy intensity in australia for the period 1978 2009 the analysis is performed by decomposing the changes in energy intensity by means of energy efficiency fuel mix and structural changes using sectoral and sub sectoral levels of data the results show that the driving forces behind the decrease in energy intensity in australia are efficiency effect and sectoral composition effect where the former is found to be more prominent than the latter moreover the favourable impact of the composition effect has slowed consistently in recent years a perfect positive association characterizes the relationship between energy intensity and carbon intensity in australia the decomposition results indicate that australia needs to improve energy efficiency further to reduce energy intensity and carbon emissions

residential energy consumption in urban china a decomposition analysis abstract residential energy consumption rec is the second largest energy use category 10 in china and urban residents account for 63 of the rec understanding the underlying drivers of variations of urban rec thus helps to identify challenges and opportunities and provide advices for future policy measures this paper applies the lmdi method to a decomposition of china s urban rec during the period of 1998 2007 at disaggregated product activity level using data collected from a wide range of sources our results have shown an extensive structure change towards a more energy intensive household consumption structure as well as an intensive structure change towards high quality and cleaner energy such as electricity oil and natural gas which reflects a changing lifestyle and consumption mode in pursuit of a higher level of comfort convenience and environmental protection we have also found that china s price reforms in the energy sector have contributed to a reduction of rec while scale factors including increased urban population and income levels have played a key role in the rapid growth of rec we suggest that further deregulation in energy prices and regulatory as well as voluntary energy efficiency and conservation policies in the residential sector should be promoted

structural path and decomposition analysis of aggregate embodied energy intensities in china 2012 2017 abstract the dependence of the economic development of a region on its energy consumption is a major challenge for developing countries the aggregate embodied energy intensity aei based on an input output framework reflects the interaction between regional economy and energy consumption driven by final demand studying the change in aei from the perspective of sector production and final demand can effectively control the source and trend of energy intensity change in order to control the growth of energy intensity however there is a relative lack of studies determining the causes of aei changes from the perspective of sectors and final demands this study attempted to identify the influencing factors of aei changes and establish an aei based environmental policy in china a multiplicative structural decomposition analysis and a structural path analysis were used to study the aei under conditions of different final demands sectors and transmission layers along with the factors influencing aei changes in china from 2012 to 2017 our results indicate that the final demand category of gross fixed capital formation made the largest contribution to aei changes in 2012 and 2017 and the multiplicative intensity factor significantly inhibited the decrease in aei among the sectors studied only a few were found to significantly affect the change in aei with s11 processing of petroleum coking and nuclear fuel s12 chemical industry and s14 smelting and rolling of metals being the key sectors that input high energy consumption products to other sectors

does urbanization drive economic growth decoupled from energy consumption in china s logistics abstract logistics has gradually become a major energy consumer in china along with urbanization and e commerce a better understanding of economic growth decoupled from energy consumption in logistics could relieve the pressure of energy supply and environmental pollution a combined model based on the tapio decoupling model kaya identity and log mean divisia index was proposed to decompose the impact of urbanization into 4 related factors comparative analysis was applied to investigate the similarities of and differences in the urbanization related factors affecting the decoupling state of provinces the main results were as follows 1 weak decoupling was the dominant state of logistics in china during 2007 2016 there were weak decoupling and strong decoupling in most of the observation period in the eastern region while there was no strong decoupling in the central and western regions 2 from the national perspective urbanization related factors had very significant but different impacts population quantity spatial structure and spatial expansion were the key inhibitors while population density was the main contributor 3 from the regional perspective the patterns of urbanization related factors in the three regions were similar population density had a positive but decreasing effect on decoupling in the three regions especially the western region population quantity had an increasing negative effect on decoupling in the three regions especially the central and western regions spatial expansion had an increasing negative effect on decoupling in the eastern and western regions but a decreasing negative effect in the central region and spatial structure had a stable negative effect on the three regions finally some policy implications were proposed

changes in industrial electricity consumption in china from 1998 to 2007 abstract electricity consumption in the industrial sector experienced a dramatic increase between 1998 and 2007 accounting for approximately 75 of china s total electricity consumption this study analyzes the potential factors influencing the growth of electricity consumption in china s industrial sector over the past decade using a logarithmic mean divisia index i decomposition method results show that activity effect and shift effect caused by the change in the electricity s share of industrial energy use are the major factors responsible for the rise in electricity consumption between 1998 and 2007 it is found that structural change also contributed to the increase in electricity consumption it had only a small effect in contrast the technological effect is responsible for a decrease in electricity consumption during this period the influences of technological effects and shift effects followed approximately an inverse u shaped and u shaped curve respectively furthermore the results show that the main contributors to incremental electricity consumption among industrial subsectors were manufacturing of raw chemical material and products manufacturing of non metal mineral products smelting and pressing of ferrous and non ferrous metals and production and supply of electric power and heat power these sectors should take priority for industrial restructuring in order to implement policies for energy and electricity savings

calculation and decomposition of indirect carbon emissions from residential consumption in china based on the input output model abstract based on the input output model and the comparable price input output tables the current paper investigates the indirect carbon emissions from residential consumption in china in 1992 2005 and examines the impacts on the emissions using the structural decomposition method the results demonstrate that the rise of the residential consumption level played a dominant role in the growth of residential indirect emissions the persistent decline of the carbon emission intensity of industrial sectors presented a significant negative effect on the emissions the change in the intermediate demand of industrial sectors resulted in an overall positive effect except in the initial years the increase in population prompted the indirect emissions to a certain extent however population size is no longer the main reason for the growth of the emissions the change in the consumption structure showed a weak positive effect demonstrating the importance for china to control and slow down the increase in the emissions while in the process of optimizing the residential consumption structure the results imply that the means for restructuring the economy and improving efficiency rather than for lowering the consumption scale should be adopted by china to achieve the targets of energy conservation and emission reduction

the energy intensity in lithuania during 1995 2009 a lmdi approach abstract the measurement assessment and effective mitigation of energy intensity compose a foremost objective of contemporary energy policy although the european union eu member states have been experiencing the convergence in energy efficiency indicators lithuania acceded to the eu in 2004 still remains peculiar with relatively high energy intensity our study therefore is aimed at analyzing the energy intensity trends in lithuanian economy as a whole as well as in separate economic sectors the investigation covers the period of 1995 2009 the logarithmic mean divisia index was applied for decomposition analysis our analysis has shown that energy efficiency falls during economic downturn in order to facilitate these challenges the lithuanian government as well as business should opt for increasing energy efficiency in the most problematic sectors of transport and services in addition the analysis of legal acts namely national energy efficiency programme for 2006 2010 and energy efficiency action plan for 2010 2016 was taken into consideration some suggestions thus were offered for successful implementation of strategic goals outlined in the aforementioned strategic documents

has energy conservation been an effective policy for thailand an input output structural decomposition analysis from 1995 to 2010 abstract thailand has depended heavily on imported fossil fuels since the 1990s which hindered the nation s economic development because it created uncertainty in the nation s fuel supply an energy conservation policy was implemented in 1995 to require industries to reduce their energy intensity ei and consumption immediately this study investigates the effectiveness of the policy between 1995 and 2010 using the hybrid input output approach surprisingly ei improvement was observed in only a few sectors such as transportation non metallic paper and textile an embodied energy decomposition analysis revealed that while households were the largest energy consumer in 1995 energy consumption in exports exceeded that of households in 2000 2005 and 2010 in addition structural decomposition analysis revealed the final demand effect was the strongest factor in determining the efficacy of energy conservation whereas the energy efficiency effect was not an effective factor as expected for decreasing energy consumption policy barriers and conflicting economic plans were factors that affected the outcome of these energy policies

is energy efficiency a driver or an inhibitor of energy consumption changes in spain two decomposition approaches abstract the 2000 2008 expansion period of the economy was accompanied by an important increase of energy consumption the desire of decoupling has led us to analyse the driving forces behind the energy consumption changes during this expansion period through a structural decomposition analysis sda based on the spanish input output tables previous decomposition has been supplemented by a logarithmic mean divisia index lmdi analysis of the energy consumption changes during a longer period 2000 2013 the results show that the energy intensity was the main inhibitor effect of the energy consumption changes of sectors of production not only during the recession but also during the expansion period secondly the energy intensity was a driver of the energy consumption change of households during the expansion period however during the recession period the energy intensity of private transport contributed to reducing energy consumption having an inhibitor effect therefore if the activity effect is still the most important driver the energy intensity effect has become the main inhibitor of energy consumption changes the energy policy recommendation is to focus on household energy consumption in the future if the spanish government aims to attain the eu energy efficiency objectives

a comparative study on decoupling relationship and influence factors between china s regional economic development and industrial energy related carbon emissions abstract to study the relationship between china s regional economic development and industrial carbon emission reveal the major influencing factors and mechanism of carbon emission change in all regions and provide theoretical evidence for governments to formulate emission reduction strategies and policies big data analysis and the tapio extended model were adopted to quantitatively analyse the decoupling relationship between carbon emission and economic growth in eight major regions of china between 1996 and 2012 logarithmic mean divisia index lmdi was also applied to decompose the main factors affecting carbon emission change in all regions the results show that 1 the proportions of industrial energy related to carbon emissions in central china and the beijing tianjin region decreased year by year while the opposite was the case in coastal areas of northern china furthermore the proportions in other regions basically remained unchanged 2 a weak decoupling relation between industry energy carbon emission and economic growth was found in most regions except in northwest china during the period 1996 2000 southwest china south and north coastal regions during the period 2001 2005 beijing and tianjin during the period 2010 2012 energy consumption decoupling factors exerted a consistent positive effect on industry energy carbon emission decoupling with decoupling impact greater than emission factors 3 the overall level of carbon emission reduction technology in china was low and backwards and limited contributions have been made to economic growth and industry energy carbon emission decoupling development emphases of decoupling should be put on energy saving technology promotion industry structure upgrading and energy structure improvement in the future 4 economic intensity effect has exerted the most powerful positive influence on carbon emissions except in developed areas and the positive effect was weaker than that in other regions

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

multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities abstract aggregate intensity indicators such as the ratio of a country s energy and emissions to its gdp are often used by researchers and policymakers to study energy and environmental performance this paper analyzes the relationship between energy or emissions and value added or gdp from a different viewpoint namely from the demand rather than the production perspective using the input output i o framework the aggregate embodied intensity aei defined as the ratio of embodied energy or emissions to embodied value added can be defined at the aggregate final demand category and sectoral levels the total aggregate intensity can be presented as a weighted sum of the aeis at the final demand category or sectoral level changes of the aei at different levels can be decomposed to identify the driving forces using multiplicative sda a study using the latest 2007 and 2012 datasets of china indicates that a its aggregate intensity of co 2 emissions was mainly determined by the aei in investment and b the emission intensity effect generally contributed the most to the aei ratio changes at different levels the proposed framework can be applied to other aggregate intensity indicators and extended to multi country region analysis

what drive the changes in china s energy consumption and intensity during 12th five year plan period abstract during the 12th five year plan period 2011 2015 the chinese government has released a series of energy conservation plans to launch and deepen the transition in the energy use particularly the dual control of the energy consumption and energy intensity was firstly emphasized this paper intends to explore the targeted and effective energy policy implications through investigating the drivers of changes in energy consumption intensity of china during the 12th five year plan period under the input output framework the embodied energy consumptions intensities by final demand category were estimated at aggregate sector level and the total energy consumption intensity was decomposed using the additive multiplicative structural decomposition analysis among the final demand categories china s energy consumption intensity was mainly contributed by the investment followed by the household consumption according to the sda results china s total energy consumption increased by 28 8 of which the energy intensity effect and the investment effect were the most retardant and accelerator respectively at the same time china s total aggregate energy intensity decreased by 16 0 of which the energy intensity effect and the household consumption effect were the most retardant and accelerator respectively in detail the key sectors with respect to the critical effects were picked out above all policy implications are discussed for achieving the energy goals during the 13th five year plan period and launching the energy revolution during the 14th five year plan period

the indirect energy consumption and co2 emission caused by household consumption in china an analysis based on the input output method in recent decades china s rapid economy development has been coupling with the steadily increasing household consumption which in turn leads to ever growing energy consumption and co2 emission with a focus on the decade of 2000 2010 this study examines the energy consumption and co2 emission caused by household consumption using the input output method as well as the influencing factors of the indirect co2 emission the results show that first the indirect energy consumption and co2 emission appear the main parts of total energy consumption and co2 emission caused by household consumption accounting for 69 77 and 77 84 respectively second the indirect co2 emission indicates an increasing trend mainly driven by per capita household consumption and energy intensity finally the five sectors with relatively higher direct or total co2 emission intensity are the key sectors for reducing co2 emission in china i e 1 production and distribution of electric power and heat power pdeh 2 smelting and pressing of metals spm 3 processing of petroleum coking processing of nuclear fuel ppcpn 4 manufacture of non metallic mineral products mnm and 5 manufacture of chemical materials mcm

scale technique and composition effects in trade related carbon emissions in china this study applies structural decomposition analysis to evaluate the scale composition and technique effects of trade related carbon emissions in china mainland from 1987 to 2007 the initial findings indicate that the increasing magnitude of china s trade both in terms of the carbon emissions embodied in exports and the carbon emissions avoided via imports had large scale effects during the whole period the technique effect caused by changes in input mix sector energy intensity fuel mix and carbon coefficients effectively offset part of the scale effect during the entire period but failed to do so during some sub periods changes in trade composition caused a relative small increase in the carbon emissions created by exports but a relative small decrease in the carbon emissions avoided via imports during the whole period

consistent multi level energy efficiency indicators and their policy implications in order to cope with the global warming issue most of the asia pacific economic cooperation apec economies have made energy conservation policy a top priority in terms of their energy policies the energy efficiency indicators included in the present paper focus on the micro foundation aspects there are basically two types of energy efficiency indicators namely the economic thermodynamic energy efficiency indicators that use real gdp as the denominator and the physical thermodynamic energy efficiency indicators that are based on the output volume index while the common definitions and consistent methodology used in the present paper fulfill the iea pyramid eei concept the new methodology in this paper compares the decomposition effects between upstream and downstream industries when aggregating efficiency changes these decomposition effects can thereby provide valuable explanations for the energy conservation policy needed by energy policy and government administrators

industrial co2 emissions from energy use in korea a structural decomposition analysis abstract this paper attempts to quantify energy consumption and co 2 emissions in the industrial sectors of korea the sources of the changes in co 2 emissions for the years 1990 2003 are investigated in terms of a total of eight factors through input output structural decomposition analysis changes in emission coefficient caused by shifts in energy intensity and carbon intensity changes in economic growth and structural changes in terms of shifts in domestic final demand exports imports of final and intermediate goods and production technology the results show that the rate of growth of industrial co 2 emissions has drastically decreased since the 1998 financial crisis in korea the effect on emission reductions due to changes in energy intensity and domestic final demand surged in the second period 1995 2000 while the impact of exports steeply rose in the third period 2000 2003 of all the individual factors economic growth accounted for the largest increase in co 2 emissions the results of this analysis can be used to infer the potential for emission reduction in korea

driving forces of rapid co2 emissions growth a case of korea abstract this study aims to investigate korea s final demand structure and its impacts on co 2 emissions in order to reduce co 2 emissions and develop environmental policy directions based on the environmentally extended input output model this study adopts a two step approach 1 to estimate the embodied emissions and their intensities for 393 sectors induced by final demand and 2 to calculate the driving factors of emission growth between 2003 and 2011 and then evaluate the result by using structural decomposition analysis sda the findings of this study demonstrate that the impact of composition change in export with less embodied emission intensities tends to offset the increase in co 2 emission by the export scale growth the relatively low residential electricity price has resulted in the rapid growth of household electricity consumption and significantly contributed to emissions growth the result of sda indicates that korea s final demand behavior yielded high carbonization over the same period the findings suggest that korean government should promote exports in industries with less embedded co 2 in order to protect environments in addition emission information of each product and service should be provided for consumers to change their purchase patterns towards contributing to low carbon emissions as active players

kaya identity for analysis of the main drivers of ghg emissions and feasibility to implement eu 20 20 20 targets in the baltic states abstract the kaya identity relates the greenhouse gas ghg emissions to energy use economic growth and population growth therefore it can be applied to decompose ghg emissions with respect to the latter terms european union eu has established the main targets of sustainable energy development in energy and climate package 20 20 20 eu member states conformed to achieve in 2020 ghg emission reduction by 20 comparing with year 1990 level to achieve 20 of renewable energy sources res in final energy consumption and to reduce energy intensity by 20 compared to year 2005 level as all of these targets are interrelated and have to be achieved together it is very important to track the changes of ghg emissions in eu member states alongside the changes in energy intensity and increase in the share of renewables in final energy consumption the kaya identity and decomposition analysis allow the linking of changes in ghg emissions to changes in energy intensity and carbon intensity of energy which directly reflects the increase of the share of renewables in final energy consumption the impact of gdp growth on ghg emissions is also assessed by kaya identity the paper applies a novel approach in tracking progress achieved in implementing 20 20 20 targets by employing kaya identity and shapley value for decomposition analysis the conducted analysis showed that policies to increase energy efficiency are the most important drivers of ghg emission reduction and achieving eu 20 20 20 targets in baltic states though the share of res has increased significantly in baltic states its impact on ghg emissions reduction per capita in baltic states was insignificant therefore more emphasis on energy efficiency policies is necessary as they are the most effective measures for achieving ghg emission reduction targets

carbon dioxide emissions in the u s economy a structural decomposition analysis this paper provides an empirical analysis of the impact of various influences on carbon dioxide emissions it incorporates methodological refinements of input output structural decomposition analysis which is the examination of economic change by means of a set of comparative static variations in key parameters of i o tables the analysis is performed using a two tiered klem model which allows for estimation of substitution and technological change effects within and between input aggregates the model is used to decompose the sources of change in co2 emissions in the u s over the 1972 82 timeframe using hybrid energy value tables for the initial and terminal years results show the significant effect of substitution within the energy sector and between energy and other inputs as the leading causes of the decline in carbon dioxide emissions

decomposition analysis for assessing the progress in decoupling industrial growth from co2 emissions in the eu manufacturing sector decomposition analysis is used in this paper not only to explain changes in industrial co2 emissions but also to comparatively evaluate the progress made in 14 eu countries in decoupling emissions from industrial growth the analysis is performed for the period 1990 2003 by distinguishing two time intervals for assessing progress prior to and following the agreement on the kyoto protocol the refined laspeyres model is used to determine the impact of 5 explanatory factors output energy intensity structure fuel mix and utility mix the obtained results are further elaborated in order to assess the real efforts undertaken in each country and their effectiveness in dissociating the economic and environmental dimensions of development moreover a rescaling procedure is implemented in order to adjust efforts to the average progress in the eu and proceed to a fair comparative evaluation it is found that most eu countries made a considerable but not always sufficient decoupling effort while no significant acceleration is observed in the post kyoto period

contract farming and vulnerability to poverty among oil palm smallholders in indonesia abstractthis article addresses smallholder oil palm farming in indonesia and the risk of falling into poverty by comparing contract and non contract smallholders we use an asset based approach to define vulnerability and apply propensity score matching analysis to assess the impact of contract farming data were collected from a cross sectional survey conducted in 2010 of 245 oil palm smallholder households 126 of which were contract smallholders the study finds that approximately 40 per cent of oil palm smallholders can be classified as stochastic transient poor we also show that while contract participation reduces the negative impact of oil palm price shocks this is not the case for production shocks the study concludes that despite positive income effects contract smallholders also remain vulnerable to poverty

what causes the change in energy demand in the economy the role of technological change this paper proposes a simple and theoretically clear approach to the estimation of technological change in a multisector general equilibrium framework this study employs the multiple calibration decomposition analysis mcda to evaluate technological change that is responsible for changes in energy use and carbon dioxide emissions in the japanese economy in the oil crises period from 1970 to 1985 the mcda serves as an elementary way of separating structural change due to technological change from that due to price substitution effects capturing the interdependence among economic sectors the empirical result provides a better understanding of the effects on the economy of technological change in that significant period

drivers of provincial so2 emissions in china based on multi regional input output analysis abstract studying the driving factors of pollutant emissions is of great significance for china in the formulation of pollution control strategies existing studies mainly focus on the causes of national aggregate emission changes however considering the large differences among provinces in china and their close economic linkages it is necessary to develop a provincial level analysis to shape provincial policies for emission reduction using the multi regional input output mrio tables of 30 provinces in china and adopting structural decomposition analysis we analyze how changes in the end of pipe treatment cleaner production economic production structure domestic final use domestic exports and international exports drive national and provincial so2 emissions decomposition results show that during 2002 2010 the absolute value of each effect based on the mrio model is higher than that based on the national aggregate input output model which indicates that the existing studies adopting the national average data conceal the variation in the driving factors and underestimate their contributions to so2 emission changes the decomposition results based on mrio model further show that the end of pipe treatment and cleaner production are the major emission reduction factors for all provinces and the effect of the former has noticeably increased during 2007 2010 for the eastern provinces interestingly the economic production structure becomes a major emission reduction factor during the period of 2007 2010 changes in domestic final demand domestic exports and international exports exhibit significantly different contributions among provinces the increased final demand in eastern provinces largely drive so2 emissions for all provinces based on the above findings policy implications that address the so2 emission reduction issues are proposed

the embodied energy in trade what role does specialization play abstract many industrialized countries are net importers of embodied energy and emissions while many developing countries are net exporters we examine the role of specialization in driving these trade patterns by conducting a spatial index decomposition analysis on the embodied energy in net exports for 41 economies the results reveal that industrialized countries have generally offshored energy intensive production which many developing countries specialize in we find that specialization on average makes the biggest contribution accounting for roughly 50 of a country s embodied energy in net exports however other factors namely energy intensity and the trade balance combine to make an equally important contribution in summary specialization despite its significant role is not the only cause of the embodied energy trade patterns observed between industrialized and developing countries

how can chile move away from a high carbon economy abstract this paper quantitatively evaluates the performance of chile s co2 emissions between 1991 and 2013 using a complete decomposition technique to examine emissions and their components a decomposition analysis based on log mean divisia index method lmdi i was conducted six decomposition factors were considered carbon intensity effect ci res penetration effect res energy intensity effect ei economy structure effect es income effect yp and population effect p to know how these factors could influence each other in the future the innovative accounting approach iaa was used including forecast error variance decomposition and impulse response functions irfs these two methodologies allow us to identify the drivers of co2 emission changes in the past 1991 2013 test policy measures and learn how these drivers could influence each other in the future to evaluate whether the current measures meet the paris commitments the lmdi analysis results show that the energy intensity factor is the main compensating factor of chile s co2 emissions and the only effect with a clear trend to aid the economy s decoupling iaa and ifrs results react similarly and confirm that carbon intensity reacts to shocks more significantly in the short term the reaction to res has the same and opposite behavior to shocks in es and yp to disappear in the long term

structural decomposition analysis of physical flows in the economy many environmental problems can be attributedto the extraction and emissions of physicalsubstances increasing our understanding of theeconomic and technological driving forcesbehind these physical flows can contribute tosolving the environmental problems related tothem the input output framework is a usefulsetting in which to integrate detailedinformation about economic structure andphysical flows in this article a specificmethod in input output analysis is reviewed namely structural decomposition analysis sda it is based on comparative static analysis which decomposes historical changes of a policyvariable into determinant effects sda has beenapplied for example to analyze the demand andtechnological driving forces of energy use co2 emissions and various other pollutantsand resources this article examines thetheoretical aspects of structuraldecomposition in particular those concerningphysical flows and environmental issues furthermore the article includes an extensivesurvey of empirical studies

optimal bidding in multi item multislot sponsored search auctions we study optimal bidding strategies for advertisers in sponsored search auctions in general these auctions are run as variants of second price auctions but have been shown to be incentive incompatible thus advertisers have to be strategic about bidding uncertainty in the decision making environment budget constraints and the presence of a large portfolio of keywords makes the bid optimization problem nontrivial we present an analytical model to compute the optimal bids for keywords in an advertiser s portfolio to validate our approach we estimate the parameters of the model using data from an advertiser s sponsored search campaign and use the bids proposed by the model in a field experiment the results of the field implementation show that the proposed bidding technique is very effective in practice we extend our model to account for interactions between keywords in the form of positive spillovers from generic keywords into branded keywords the spillovers are estimated using a dynamic linear