Exploring the characteristics of production-based and consumption-based carbon emissions of major economies: A multiple-dimension comparison

Addressing climate change requires the efforts of all countries with common but differentiated responsibilities. The mitigation responsibilities one country takes greatly depends on its national emission inventories. As a good complement to the production-based accounting (PBA) principle, consumption-based accounting (CBA) principle has been widely concerned. However, few studies focus on emissions equity issues temporally and spatially. In this paper, we explore the characteristics of production-based and consumption-based CO2 emissions for 14 major economies through multiple-dimension comparisons to get insight into the emissions equity comparisons among major emitters. In particular, four categories of economies with different dynamic features are divided based on their percentage differences between PBA and CBA emissions. Demographical and economic variables are additionally taken into consideration. The results indicate that France and Russia hold extreme characteristic on evaluating the emission difference between two principles, while China and Chinese Taiwan reveal uniquely increasingly larger gaps between two principle emissions. Besides, the per capita CBA emissions grows more prominently and possesses a more obviously positive correlation with their own per capita GDP which confirms that CBA principle is potentially attractive for estimating national emissions.

[1]  Yuli Shan,et al.  CO2 emissions from China’s lime industry , 2016 .

[2]  Manfred Lenzen,et al.  Influence of trade on national CO2 emissions , 2005 .

[3]  B. W. Ang,et al.  Decomposition of industrial energy consumption: Some methodological and application issues , 1994 .

[4]  Bart Los,et al.  How Global are Global Value Chains? A New Approach to Measure International Fragmentation , 2015 .

[5]  Ce Wang,et al.  Spatial–temporal variations of embodied carbon emission in global trade flows: 41 economies and 35 sectors , 2015, Natural Hazards.

[6]  Yue‐Jun Zhang,et al.  The indirect energy consumption and CO2 emission caused by household consumption in China: an analysis based on the input–output method , 2017 .

[7]  Yue-Jun Zhang,et al.  The decomposition of energy-related carbon emission and its decoupling with economic growth in China , 2015 .

[8]  Xuemei Jiang,et al.  Global value chain, trade and carbon: Case of information and communication technology manufacturing sector , 2015 .

[9]  Jiun-Jiun Ferng,et al.  Allocating the responsibility of CO2 over-emissions from the perspectives of benefit principle and ecological deficit , 2003 .

[10]  Yi-Ming Wei,et al.  Climate policy modeling: An online SCI-E and SSCI based literature review , 2015 .

[11]  Nan Li,et al.  Quantifying the impacts of decarbonisation in China’s cement sector: A perspective from an integrated assessment approach , 2017 .

[12]  Yi-Ming Wei,et al.  Potential impacts of industrial structure on energy consumption and CO2 emission: a case study of Beijing , 2015 .

[13]  E. Hertwich,et al.  Post-Kyoto greenhouse gas inventories: production versus consumption , 2008 .

[14]  Yi-Ming Wei,et al.  Residential carbon emission evolutions in urban-rural divided China: An end-use and behavior analysis , 2013 .

[15]  Murat Kucukvar,et al.  A global, scope-based carbon footprint modeling for effective carbon reduction policies: Lessons from the Turkish manufacturing , 2015 .

[16]  Weilong Huang,et al.  TIMES modelling of transport sector in China and USA: Comparisons from a decarbonization perspective☆ , 2016 .

[17]  Iñaki Arto,et al.  Drivers of the growth in global greenhouse gas emissions. , 2014, Environmental science & technology.

[18]  Bin Xu,et al.  Assessing CO2 emissions in China’s iron and steel industry: A dynamic vector autoregression model , 2016 .

[19]  Marcel P. Timmer,et al.  Slicing Up Global Value Chains , 2014 .

[20]  R. Feenstra,et al.  The Next Generation of the Penn World Table , 2013 .

[21]  Yi-Ming Wei,et al.  Exploring the regional characteristics of inter-provincial CO2 emissions in China: An improved fuzzy clustering analysis based on particle swarm optimization , 2012 .

[22]  Yi-Ming Wei,et al.  Impact of inter-sectoral trade on national and global CO2 emissions: An empirical analysis of China and US , 2010 .

[23]  Qiao-Mei Liang,et al.  Accounting for China's regional carbon emissions in 2002 and 2007: production-based versus consumption-based principles , 2015 .

[24]  K. Hubacek,et al.  Household carbon footprints in the Baltic States: A global multi-regional input–output analysis from 1995 to 2011 , 2017 .

[25]  Manfred Lenzen,et al.  Consumption-based GHG emission accounting: a UK case study , 2013 .

[26]  Carol J. Miller,et al.  Residential emissions reductions through variable timing of electricity consumption , 2015 .

[27]  Bart Los,et al.  THE CONSTRUCTION OF WORLD INPUT–OUTPUT TABLES IN THE WIOD PROJECT , 2013 .

[28]  Yi-Ming Wei,et al.  The impacts of migrant workers consumption on energy use and CO2 emissions in China , 2016, Natural Hazards.

[29]  Weidong Liu,et al.  Outsourcing CO2 within China , 2013, Proceedings of the National Academy of Sciences.

[30]  Elena Verdolini,et al.  Energy Intensity Developments in 40 Major Economies: Structural Change or Technology Improvement? , 2013 .

[31]  Bo Meng,et al.  China’s inter-regional spillover of carbon emissions and domestic supply chains , 2013 .

[32]  G. Peters From production-based to consumption-based national emission inventories , 2008 .

[33]  Yi-Ming Wei,et al.  An empirical analysis of energy efficiency in China's iron and steel sector , 2007 .

[34]  B. W. Ang,et al.  Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China , 2014 .

[35]  T. Wiedmann A review of recent multi-region input–output models used for consumption-based emission and resource accounting , 2009 .

[36]  Robert C. Johnson Five Facts about Value-Added Exports and Implications for Macroeconomics and Trade Research , 2014 .

[37]  N. H. Ravindranath,et al.  2006 IPCC Guidelines for National Greenhouse Gas Inventories , 2006 .

[38]  P. Ciais,et al.  Reduced carbon emission estimates from fossil fuel combustion and cement production in China , 2015, Nature.

[39]  O. Edenhofer,et al.  Regional Development and Cooperation , 2015 .

[40]  Rueda Cantuche Jose,et al.  Global Resources Use and Pollution: Vol. II, Country Factsheets , 2013 .

[41]  Rueda Cantuche Jose,et al.  Global Resources Use and Pollution:Vol. I, Production, Consumption and Trade (1995-2008) , 2012 .

[42]  Karl W. Steininger,et al.  Austria's CO2 responsibility and the carbon content of its international trade , 2010 .

[43]  E. Hertwich,et al.  CO2 embodied in international trade with implications for global climate policy. , 2008, Environmental science & technology.