Indirect carbon emissions of urban households in China: Patterns, determinants and inequality

Abstract The urban household sector is considered to be an essential source of climate change. In order to obtain detailed information concerning the description of household consumption activities, this paper combined consumer lifestyle approach and input-output analysis to estimate indirect carbon emissions of urban household from 2002 to 2012. Besides, we further analysed the driving forces and inequality of indirect carbon emissions. The results showed that the total indirect carbon emissions during the study period increased rapidly, rising from 894.08 MtCO2 to 1957.03 MtCO2. ¬ More than 58% of carbon emissions were from 40% of the high income population. The highest income group, 10% of total urban households, deduced 21% of urban indirect carbon emissions. The per capita carbon emissions of different households showed a remarkable disparity, and the per capita carbon emissions of high income groups decreased from 2011 to 2012. The effective mitigation efforts should focus on reducing carbon intensity and shifting consumption structure. For high inequality consumption activities caused by rich households, rich urban households should consume less goods and services from this consumption activities. For high inequality consumption activities caused by low income households, the redistribution of income from rich to poor and low carbon intensity lifestyles may be better options to reduce carbon emissions and inequalities of urban households.

[1]  J. C. J. M. Bergh,et al.  Comparing structural decomposition analysis and index , 2003 .

[2]  Hong Chen,et al.  An integrated measurement of household carbon emissions from a trading-oriented perspective: A case study of urban families in Xuzhou, China , 2018, Journal of Cleaner Production.

[3]  Eunnyeong Heo,et al.  The direct and indirect household energy requirements in the Republic of Korea from 1980 to 2000—An input–output analysis , 2007 .

[4]  Tsuyoshi Fujita,et al.  Regional household carbon footprint in China: a case of Liaoning province , 2016 .

[5]  Zhaohua Wang,et al.  Indirect carbon emissions in household consumption: evidence from the urban and rural area in China , 2014 .

[6]  Chu Wei,et al.  Measurement of inequality using household energy consumption data in rural China , 2017 .

[7]  Liyan Han,et al.  Household carbon inequality in urban China, its sources and determinants , 2016 .

[8]  J. Weiner,et al.  Describing inequality in plant size or fecundity , 2000 .

[9]  Jiaming Li,et al.  Impacts of energy consumption, energy structure, and treatment technology on SO2 emissions: A multi-scale LMDI decomposition analysis in China , 2016 .

[10]  António Carrizo Moreira,et al.  The driving forces of change in energy-related CO2 emissions in Eastern, Western, Northern and Southern Europe: The LMDI approach to decomposition analysis , 2015 .

[11]  Xin Meng,et al.  Income inequality and carbon dioxide emissions: The case of Chinese urban households , 2012 .

[12]  Manuel L. Nunes,et al.  Driving forces for aggregate energy consumption: A cross-country approach , 2017 .

[13]  Martin Skitmore,et al.  Household carbon emission research: An analytical review of measurement, influencing factors and mitigation prospects , 2015 .

[14]  W. Leontief,et al.  The Structure of American Economy, 1919-1939. , 1954 .

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

[16]  Can Wang,et al.  The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective , 2017 .

[17]  Xinyu Cao,et al.  A novel analysis of consumption-based carbon footprints in China: Unpacking the effects of urban settlement and rural-to-urban migration , 2016 .

[18]  Tim Jackson,et al.  The carbon footprint of UK households 1990–2004: A socio-economically disaggregated, quasi-multi-regional input–output model , 2009 .

[19]  Yi-Ming Wei,et al.  The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents , 2007 .

[20]  Qin Zhu,et al.  Calculation and decomposition of indirect carbon emissions from residential consumption in China based on the input–output model , 2012 .

[21]  Klaus Hubacek,et al.  The Impact of Social Factors and Consumer Behavior on Carbon Dioxide Emissions in the United Kingdom , 2010 .

[22]  T. Zhao,et al.  Changes of energy-related GHG emissions in China: An empirical analysis from sectoral perspective , 2014 .

[23]  F. Monsalve,et al.  Assessing the Inequality of Spanish Households through the Carbon Footprint: The 21st Century Great Recession Effect , 2016 .

[24]  B. W. Ang,et al.  Structural decomposition analysis applied to energy and emissions: Some methodological developments , 2012 .

[25]  W. Leontief Environmental Repercussions and the Economic Structure: An Input-Output Approach , 1970 .

[26]  Seppo Junnila,et al.  Carbon and material footprints of a welfare state: Why and how governments should enhance green investments , 2018, Environmental Science & Policy.

[27]  Wei Zhang,et al.  Decomposition of intensity of energy-related CO2 emission in Chinese provinces using the LMDI method , 2016 .

[28]  Yi-Ming Wei,et al.  The impact of household consumption on energy use and CO 2 emissions in China , 2011 .

[29]  Heleen de Coninck,et al.  Technical Summary. In: Global Warming of 1.5°C. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways , 2018 .

[30]  T. Wiedmann EDITORIAL: CARBON FOOTPRINT AND INPUT–OUTPUT ANALYSIS – AN INTRODUCTION , 2009 .

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

[32]  T. Baležentis,et al.  Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations” , 2019, Environmental and Resource Economics.

[33]  Laixiang Sun,et al.  Consumption-based CO2 accounting of China's megacities: the case of Beijing, Tianjin, Shanghai and Chongqing , 2014 .

[34]  Z. Mi,et al.  China's “Exported Carbon” Peak: Patterns, Drivers, and Implications , 2018 .

[35]  Jing Meng,et al.  China CO2 emission accounts 1997–2015 , 2018, Scientific Data.

[36]  Yi-Ming Wei,et al.  Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: An empirical analysis , 2007 .

[37]  Jianhua Cao,et al.  Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes:A case study for Shanghai (China) , 2016 .

[38]  H. Schroeder,et al.  City-level climate change mitigation in China , 2018, Science Advances.

[39]  D. Guan,et al.  Integrating Sustainability Into City-level CO2 Accounting: Social Consumption Pattern and Income Distribution , 2018, Ecological Economics.

[40]  Manfred Lenzen,et al.  The Inequality Footprints of Nations: A Novel Approach to Quantitative Accounting of Income Inequality , 2014, PloS one.

[41]  E. Hertwich,et al.  Carbon footprint of nations: a global, trade-linked analysis. , 2009, Environmental science & technology.

[42]  S. Davis,et al.  Structural decline in China’s CO2 emissions through transitions in industry and energy systems , 2018, Nature Geoscience.

[43]  Yi-Ming Wei,et al.  Consumption-based emission accounting for Chinese cities , 2016 .

[44]  H. S. Matthews,et al.  Quantifying the global and distributional aspects of American household carbon footprint , 2008 .

[45]  Yi-Ming Wei,et al.  Unequal household carbon footprints in China , 2017 .

[46]  Xiaoyu Liu,et al.  Low-carbon developments in Northeast China: Evidence from cities , 2019, Applied Energy.

[47]  Anand Patwardhan,et al.  Poverty eradication in a carbon constrained world , 2017, Nature Communications.

[48]  Hanwei Liang,et al.  Spatial analysis on China's regional air pollutants and CO2 emissions: emission pattern and regional disparity , 2014 .

[49]  Shui Bin,et al.  Consumer lifestyle approach to US energy use and the related CO2 emissions , 2005 .

[50]  D. Stern,et al.  China's Changing Energy Intensity Trend: A Decomposition Analysis , 2008 .

[51]  Wei Liu,et al.  Driving forces of indirect carbon emissions from household consumption in China: an input–output decomposition analysis , 2015, Natural Hazards.

[52]  Yi-Ming Wei,et al.  China’s carbon emissions from urban and rural households during 1992–2007 , 2011 .

[53]  J. Heinonen,et al.  Emissions in a decarbonised economy? Global lessons from a carbon footprint analysis of Iceland , 2017 .

[54]  Kiyoshi Takahashi,et al.  Global‐scale analysis on future changes in flow regimes using Gini and Lorenz asymmetry coefficients , 2014 .

[55]  Zhaohua Wang,et al.  Features and influencing factors of carbon emissions indicators in the perspective of residential consumption: Evidence from Beijing, China , 2016 .

[56]  W. Leontief Environmental Repercussions and the Economic Structure: An Input-Output Approach , 1970 .