IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v229y2018icp236-252.html
   My bibliography  Save this article

Heterogeneous impacts of households on carbon dioxide emissions in Chinese provinces

Author

Listed:
  • Zhang, Junjie
  • Yu, Biying
  • Wei, Yi-Ming

Abstract

As unequal carbon dioxide emissions exist among households with diverse consumption patterns resulting from different income and spatial contexts, the same carbon emission reduction policies for households will go against the principle of social equality. Though a lot of attention has been paid to estimating the emissions from different income households in previous literature, the full impacts of households on carbon emissions of production sectors through changing income are not well captured. Therefore, for better supporting the fair but different carbon emission reduction policy design for households and provinces, this paper investigates the unequal impacts of households on total emissions and sectoral emissions by specifically taking into account the heterogeneity among different income households in different provinces under the empirical context of China. A combination of semi-closed input-output model and hypothetical extraction method is used here to quantify the unique effect of each income class of households. We find five aspects of seriously unequal impacts of different income households among Chinese provinces: (1) the more responsibility for reducing carbon emissions should be allocated to Shandong, Hebei, Jiangsu, Inner Mongolia, Henan, Guangdong, Shanxi and Liaoning; (2) more unequal impacts on total provincial emissions between urban and rural households in Beijing, Tianjin, Inner Mongolia, Liaoning, Jilin, Heilongjiang, Shanghai, Zhejiang, Guangdong and Chongqing; (3) unequal impacts of urban (or rural) households on total provincial emissions exist among provinces; (4) unequal impacts of households on total provincial emissions exist among income classes and among provinces; (5) unequal impacts of urban households on emissions of sectors exist among provinces. These pictures of the inequality can provide more evidence for making fair but distinguishing carbon emission reduction policies for different income households across Chinese provinces.

Suggested Citation

  • Zhang, Junjie & Yu, Biying & Wei, Yi-Ming, 2018. "Heterogeneous impacts of households on carbon dioxide emissions in Chinese provinces," Applied Energy, Elsevier, vol. 229(C), pages 236-252.
  • Handle: RePEc:eee:appene:v:229:y:2018:i:c:p:236-252
    DOI: 10.1016/j.apenergy.2018.07.110
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918311450
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2018.07.110?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Das, Aparna & Paul, Saikat Kumar, 2014. "CO2 emissions from household consumption in India between 1993–94 and 2006–07: A decomposition analysis," Energy Economics, Elsevier, vol. 41(C), pages 90-105.
    2. Perrels, Adriaan & Weber, Christoph, 2000. "Modelling Impacts of Lifestyle on Energy Demand and Related Emissions," Discussion Papers 228, VATT Institute for Economic Research.
    3. Duarte, Rosa & Mainar, Alfredo & Sánchez-Chóliz, Julio, 2010. "The impact of household consumption patterns on emissions in Spain," Energy Economics, Elsevier, vol. 32(1), pages 176-185, January.
    4. Bin, Shui & Dowlatabadi, Hadi, 2005. "Corrigendum to "Consumer lifestyles approach to US energy use and the related CO2 emissions": [Energy Policy 33 (2005) 197-208]," Energy Policy, Elsevier, vol. 33(10), pages 1362-1363, July.
    5. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "The impact of household consumption on energy use and CO2 emissions in China," Energy, Elsevier, vol. 36(1), pages 656-670.
    6. Long, Yin & Yoshida, Yoshikuni, 2018. "Quantifying city-scale emission responsibility based on input-output analysis – Insight from Tokyo, Japan," Applied Energy, Elsevier, vol. 218(C), pages 349-360.
    7. Chitnis, Mona & Hunt, Lester C., 2012. "What drives the change in UK household energy expenditure and associated CO2 emissions? Implication and forecast to 2020," Applied Energy, Elsevier, vol. 94(C), pages 202-214.
    8. Reinders, A. H. M. E. & Vringer, K. & Blok, K., 2003. "The direct and indirect energy requirement of households in the European Union," Energy Policy, Elsevier, vol. 31(2), pages 139-153, January.
    9. Bin, Shui & Dowlatabadi, Hadi, 2005. "Consumer lifestyle approach to US energy use and the related CO2 emissions," Energy Policy, Elsevier, vol. 33(2), pages 197-208, January.
    10. Weber, Christoph & Perrels, Adriaan, 2000. "Modelling lifestyle effects on energy demand and related emissions," Energy Policy, Elsevier, vol. 28(8), pages 549-566, July.
    11. Liang, Qiao-Mei & Fan, Ying & Wei, Yi-Ming, 2007. "Multi-regional input-output model for regional energy requirements and CO2 emissions in China," Energy Policy, Elsevier, vol. 35(3), pages 1685-1700, March.
    12. Dominik Wiedenhofer & Dabo Guan & Zhu Liu & Jing Meng & Ning Zhang & Yi-Ming Wei, 2017. "Unequal household carbon footprints in China," Nature Climate Change, Nature, vol. 7(1), pages 75-80, January.
    13. Fan, Jing-Li & Liao, Hua & Liang, Qiao-Mei & Tatano, Hirokazu & Liu, Chun-Feng & Wei, Yi-Ming, 2013. "Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis," Applied Energy, Elsevier, vol. 101(C), pages 323-332.
    14. Kerkhof, Annemarie C. & Nonhebel, Sanderine & Moll, Henri C., 2009. "Relating the environmental impact of consumption to household expenditures: An input-output analysis," Ecological Economics, Elsevier, vol. 68(4), pages 1160-1170, February.
    15. Tian, Xin & Chang, Miao & Lin, Chen & Tanikawa, Hiroki, 2014. "China’s carbon footprint: A regional perspective on the effect of transitions in consumption and production patterns," Applied Energy, Elsevier, vol. 123(C), pages 19-28.
    16. Ding, Qun & Cai, Wenjia & Wang, Can & Sanwal, Mukul, 2017. "The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective," Applied Energy, Elsevier, vol. 207(C), pages 520-532.
    17. Zhang, Youguo, 2009. "Structural decomposition analysis of sources of decarbonizing economic development in China; 1992-2006," Ecological Economics, Elsevier, vol. 68(8-9), pages 2399-2405, June.
    18. Brizga, Janis & Feng, Kuishuang & Hubacek, Klaus, 2017. "Household carbon footprints in the Baltic States: A global multi-regional input–output analysis from 1995 to 2011," Applied Energy, Elsevier, vol. 189(C), pages 780-788.
    19. Allinson, David & Irvine, Katherine N. & Edmondson, Jill L. & Tiwary, Abhishek & Hill, Graeme & Morris, Jonathan & Bell, Margaret & Davies, Zoe G. & Firth, Steven K. & Fisher, Jill & Gaston, Kevin J. , 2016. "Measurement and analysis of household carbon: The case of a UK city," Applied Energy, Elsevier, vol. 164(C), pages 871-881.
    20. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    21. Shang, Yizi & Lu, Shibao & Li, Xiaofei & Hei, Pengfei & Lei, Xiaohui & Gong, Jiaguo & Liu, Jiahong & Zhai, Jiaqi & Wang, Hao, 2017. "Balancing development of major coal bases with available water resources in China through 2020," Applied Energy, Elsevier, vol. 194(C), pages 735-750.
    22. Shammin, Md Rumi & Bullard, Clark W., 2009. "Impact of cap-and-trade policies for reducing greenhouse gas emissions on U.S. households," Ecological Economics, Elsevier, vol. 68(8-9), pages 2432-2438, June.
    23. Perobelli, Fernando Salgueiro & Faria, Weslem Rodrigues & Vale, Vinicius de Almeida, 2015. "The increase in Brazilian household income and its impact on CO2 emissions: Evidence for 2003 and 2009 from input–output tables," Energy Economics, Elsevier, vol. 52(PA), pages 228-239.
    24. Munksgaard, Jesper & Pedersen, Klaus Alsted & Wien, Mette, 2000. "Impact of household consumption on CO2 emissions," Energy Economics, Elsevier, vol. 22(4), pages 423-440, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang, Di & Luan, Weixin & Qiao, Lu & Pratama, Mahardhika, 2020. "Modeling and spatio-temporal analysis of city-level carbon emissions based on nighttime light satellite imagery," Applied Energy, Elsevier, vol. 268(C).
    2. Yongyou Nie & Yunhuan Gao & He He, 2022. "Modelling Structural Effect and Linkage on Carbon Emissions in China: An Environmentally Extended Semi-Closed Ghosh Input–Output Model," Energies, MDPI, vol. 15(17), pages 1-17, August.
    3. Jinzhao Song & Qing Feng & Xiaoping Wang & Hanliang Fu & Wei Jiang & Baiyu Chen, 2018. "Spatial Association and Effect Evaluation of CO 2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    4. Soltani, Mohammad & Rahmani, Omeid & Ghasimi, Dara S.M. & Ghaderpour, Yousef & Pour, Amin Beiranvand & Misnan, Siti Hajar & Ngah, Ibrahim, 2020. "Impact of household demographic characteristics on energy conservation and carbon dioxide emission: Case from Mahabad city, Iran," Energy, Elsevier, vol. 194(C).
    5. Jingjing Chen & Yangyang Lin & Xiaojun Wang & Bingjing Mao & Lihong Peng, 2022. "Direct and Indirect Carbon Emission from Household Consumption Based on LMDI and SDA Model: A Decomposition and Comparison Analysis," Energies, MDPI, vol. 15(14), pages 1-22, July.
    6. Chen, Peipei & Wu, Yi & Zhong, Honglin & Long, Yin & Meng, Jing, 2022. "Exploring household emission patterns and driving factors in Japan using machine learning methods," Applied Energy, Elsevier, vol. 307(C).
    7. Jingbo Fan & Aobo Ran & Xiaomeng Li, 2019. "A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    8. Yuan, Rong & Wang, Juan, 2021. "Impacts of poverty alleviation on household GHG footprints in China," Energy Economics, Elsevier, vol. 103(C).
    9. Du, Huibin & Chen, Zhenni & Peng, Binbin & Southworth, Frank & Ma, Shoufeng & Wang, Yuan, 2019. "What drives CO2 emissions from the transport sector? A linkage analysis," Energy, Elsevier, vol. 175(C), pages 195-204.
    10. Lei, Mingyu & Ding, Qun & Cai, Wenjia & Wang, Can, 2022. "The exploration of joint carbon mitigation actions between demand- and supply-side for specific household consumption behaviors — A case study in China," Applied Energy, Elsevier, vol. 324(C).
    11. Zhang, Mingming & Liu, Jinghui & Liu, Liyun & Zhou, Dequn, 2023. "Inequality in urban household energy consumption for 30 Chinese provinces," Energy Policy, Elsevier, vol. 172(C).
    12. Huang, Rui & Tian, Lixin, 2021. "CO2 emissions inequality through the lens of developing countries," Applied Energy, Elsevier, vol. 281(C).
    13. Wang, Yizhong & Hang, Ye & Jeong, Sujong & Wang, Qunwei, 2023. "Intersectoral transfers and drivers of net CO2 emissions in China incorporating sources and sinks," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rui Huang & Shaohui Zhang & Changxin Liu, 2018. "Comparing Urban and Rural Household CO 2 Emissions—Case from China’s Four Megacities: Beijing, Tianjin, Shanghai, and Chongqing," Energies, MDPI, vol. 11(5), pages 1-17, May.
    2. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    3. Li, Jun & Zhang, Dayong & Su, Bin, 2019. "The Impact of Social Awareness and Lifestyles on Household Carbon Emissions in China," Ecological Economics, Elsevier, vol. 160(C), pages 145-155.
    4. Liu, Lan-Cui & Wu, Gang, 2013. "Relating five bounded environmental problems to China's household consumption in 2011–2015," Energy, Elsevier, vol. 57(C), pages 427-433.
    5. Yuling Sun & Junsong Jia & Min Ju & Chundi Chen, 2022. "Spatiotemporal Dynamics of Direct Carbon Emission and Policy Implication of Energy Transition for China’s Residential Consumption Sector by the Methods of Social Network Analysis and Geographically We," Land, MDPI, vol. 11(7), pages 1-26, July.
    6. Xin Li & Xiaoqiong He & Xiyu Luo & Xiandan Cui & Minxi Wang, 2020. "Exploring the characteristics and drivers of indirect energy consumption of urban and rural households from a sectoral perspective," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(5), pages 907-924, October.
    7. Ding, Qun & Cai, Wenjia & Wang, Can & Sanwal, Mukul, 2017. "The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective," Applied Energy, Elsevier, vol. 207(C), pages 520-532.
    8. Zhang, Xiaoling & Wang, Yue, 2017. "How to reduce household carbon emissions: A review of experience and policy design considerations," Energy Policy, Elsevier, vol. 102(C), pages 116-124.
    9. Hongwu Zhang & Lequan Zhang & Keying Wang & Xunpeng Shi, 2019. "Unveiling Key Drivers of Indirect Carbon Emissions of Chinese Older Households," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    10. Kok, Rixt & Benders, Rene M.J. & Moll, Henri C., 2006. "Measuring the environmental load of household consumption using some methods based on input-output energy analysis: A comparison of methods and a discussion of results," Energy Policy, Elsevier, vol. 34(17), pages 2744-2761, November.
    11. Ivan Tilov & Benjamin Volland & Mehdi Farsi, 2017. "Interactions in Swiss Households' Energy Demand: A Holistic Approach," IRENE Working Papers 17-11, IRENE Institute of Economic Research.
    12. Fan, Jianshuang & Zhou, Lin & Zhang, Yan & Shao, Shuai & Ma, Miao, 2021. "How does population aging affect household carbon emissions? Evidence from Chinese urban and rural areas," Energy Economics, Elsevier, vol. 100(C).
    13. Wang, Keying & Cui, Yongyan & Zhang, Hongwu & Shi, Xunpeng & Xue, Jinjun & Yuan, Zhao, 2022. "Household carbon footprints inequality in China: Drivers, components and dynamics," Energy Economics, Elsevier, vol. 115(C).
    14. Wiedenhofer, Dominik & Lenzen, Manfred & Steinberger, Julia K., 2013. "Energy requirements of consumption: Urban form, climatic and socio-economic factors, rebounds and their policy implications," Energy Policy, Elsevier, vol. 63(C), pages 696-707.
    15. Xiaoyu Liu & Xian’en Wang & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "Why Are the Carbon Footprints of China’s Urban Households Rising? An Input–Output Analysis and Structural Decomposition Analysis," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    16. Wei, Rui & Zhang, Wencheng & Peng, Shuijun, 2022. "Energy and greenhouse gas footprints of China households during 1995–2019: A global perspective," Energy Policy, Elsevier, vol. 164(C).
    17. Tao Lin & Junna Yan, 2017. "Investigating the sensitivity factors of household indirect CO2 emission from the production side," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 721-740, September.
    18. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2019. "Interactions in Swiss households’ energy demand: A holistic approach," Energy Policy, Elsevier, vol. 128(C), pages 136-149.
    19. Jingjing Chen & Yangyang Lin & Xiaojun Wang & Bingjing Mao & Lihong Peng, 2022. "Direct and Indirect Carbon Emission from Household Consumption Based on LMDI and SDA Model: A Decomposition and Comparison Analysis," Energies, MDPI, vol. 15(14), pages 1-22, July.
    20. Pedro J. Zarco-Periñán & Fco Javier Zarco-Soto & Irene M. Zarco-Soto & José L. Martínez-Ramos & Rafael Sánchez-Durán, 2022. "CO 2 Emissions in Buildings: A Synopsis of Current Studies," Energies, MDPI, vol. 15(18), pages 1-10, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:229:y:2018:i:c:p:236-252. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.