Abstract
Indirect carbon emissions caused by residential consumption has gradually become the key to the formulation of carbon emission reduction policies. In order to analyze the factors that influence the provincial residential indirect carbon emissions in China, comprehensive structural decomposition analysis (SDA) and logarithmic mean Divisia index (LMDI) models are established in this paper. The Liaoning province was selected due to its typical features as a province with higher urbanization rates. The model is based on input–output tables from 2002 to 2012, including those pertaining to the carbon emission coefficient (ΔF), energy intensity effect (ΔE), intermediate demand (ΔL), commodity structure (ΔS), residential consumption structure (ΔU), residential consumption ratio (ΔR), per capita GDP (ΔA) and population size (ΔP). The results show that the consumption of urban residents is the most common and significant section causing the growth of direct and indirect carbon emissions, both of which show an obvious upward trend. Nonmetal mining is the sector experiencing the greatest growth in indirect carbon emissions. The two most influential factors of indirect carbon emissions via the consumption of rural and urban residents are the intermediate demand effect (ΔL) and the per capita GDP effect (ΔA), respectively. Reducing energy intensity and optimizing commodity structures are the most effective ways to reduce indirect carbon emissions.
Highlights
The phenomenon of global climate change caused by the rapid increase of greenhouse gases has changed from being a simple scientific problem to a complex political, economic, social and development issue
The results showed that the consumption level and emission intensity were the main drivers that influence the change in indirect carbon emissions
4B.4a.sDedecoomn pthoseedSDReAsualtnsd logarithmic mean Divisia index (LMDI) methods, the decomposition of indirect carbon emissions from residentiaBlacsoendsuomn pthtieonSDinAruarnadl aLnMd uDrIbmanerthesoiddse,ntths eindLeicaoomnipnogsiptrioonvinocfeinwdaisreccatlccualrabtoend.eTmhiessrieosnusltsfrom are dreissipdleanyteidal icnonTsaubmlep3ti,onfoirn trhuerasltaunddyuprbearinordesfirdoemnts20in02Litaoon2i0n1g2p, raonvdinfcoerwtahsecaeilgcuhltatperdo.mThineernetsults influaernecidnigspfalacytoerds.in Table 3, for the study period from 2002 to 2012, and for the eight prominent iBnfeltuweenecnin2g0f0a2ctaonrds. 2012, the overall increase of indirect carbon emissions caused by residential consumption in Liaoning province was 9280.21 × 104 t
Summary
The phenomenon of global climate change caused by the rapid increase of greenhouse gases has changed from being a simple scientific problem to a complex political, economic, social and development issue. Fonseca et al [4] and Shaharudin et al [5] researched domestic consumption from the perspective of Circular Economy (CE) and low carbon supply chain (LCSC), respectively. They pointed out that future research needs to integrate domestic consumption into carbon emission reduction policy analysis models, to understand how policy makers can encourage industry to comply with low carbon emissions. As the world’s largest developing country and a major party to global climate talks, China is shouldering great pressure to reduce emissions, while shouldering great responsibility for reducing them
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