IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v84y2016i1d10.1007_s11069-015-2067-1.html
   My bibliography  Save this article

Impact of household expenditures on CO2 emissions in China: Income-determined or lifestyle-driven?

Author

Listed:
  • Qian Wang

    (Beijing Institute of Technology
    Beijing Institute of Technology (BIT)
    Collaborative Innovation Center of Electric Vehicles in Beijing)

  • Qiao-Mei Liang

    (Beijing Institute of Technology
    Beijing Institute of Technology (BIT)
    Collaborative Innovation Center of Electric Vehicles in Beijing)

  • Bing Wang

    (Beijing Institute of Technology
    Beijing Institute of Technology (BIT)
    Collaborative Innovation Center of Electric Vehicles in Beijing)

  • Fang-Xun Zhong

    (The Chinese University of Hong Kong)

Abstract

The aim of this paper is to analyze the relationship between household expenditure and CO2 emissions among different income groups of urban and rural households in China. Having employed the 2007 Social Accounting Matrix of China, this study examines the direct and indirect CO2 emissions caused by household demand. The results show that within both urban and rural households, the higher the income level is, the higher the per capita emissions are; the CO2 emissions per unit expenditure due to savings and taxes are generally much larger than those from consumption of goods and services; and these emissions per unit consumption expenditures mainly come from indirect emissions. To deeply explore the relationships between consumption patterns and CO2 emissions, two scenarios are established to eliminate the differences in income level and consumption propensity among different groups step by step. Main results indicate that (1) the income gap is the primary cause of the significant differences in emission levels among each group; (2) the difference in consumption propensity is also a notable reason; and (3) the rural higher income groups spend a larger share of their income on those carbon-intensive goods (e.g., electricity, transportation, energy products), thus making their consumption patterns more carbon-intensive, while for the urban, the consumption patterns of lower income groups are more carbon-intensive. Finally, policy recommendations on the reduction of household emissions are also made.

Suggested Citation

  • Qian Wang & Qiao-Mei Liang & Bing Wang & Fang-Xun Zhong, 2016. "Impact of household expenditures on CO2 emissions in China: Income-determined or lifestyle-driven?," 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. 84(1), pages 353-379, November.
  • Handle: RePEc:spr:nathaz:v:84:y:2016:i:1:d:10.1007_s11069-015-2067-1
    DOI: 10.1007/s11069-015-2067-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-015-2067-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-015-2067-1?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. Duarte, Rosa & Mainar, Alfredo & Sánchez-Chóliz, Julio, 2012. "Social groups and CO2 emissions in Spanish households," Energy Policy, Elsevier, vol. 44(C), pages 441-450.
    3. Mona Chitnis & Lester Hunt, 2011. "Modelling UK household expenditure: economic versus noneconomic drivers," Applied Economics Letters, Taylor & Francis Journals, vol. 18(8), pages 753-767.
    4. Zhu Liu & Dabo Guan & Douglas Crawford-Brown & Qiang Zhang & Kebin He & Jianguo Liu, 2013. "A low-carbon road map for China," Nature, Nature, vol. 500(7461), pages 143-145, August.
    5. 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.
    6. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    7. Mette Wier & Manfred Lenzen & Jesper Munksgaard & Sinne Smed, 2001. "Effects of Household Consumption Patterns on CO2 Requirements," Economic Systems Research, Taylor & Francis Journals, vol. 13(3), pages 259-274.
    8. 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.
    9. 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.
    10. Kerkhof, Annemarie C. & Benders, Ren M.J. & Moll, Henri C., 2009. "Determinants of variation in household CO2 emissions between and within countries," Energy Policy, Elsevier, vol. 37(4), pages 1509-1517, April.
    11. Liu, Hong-Tao & Guo, Ju-E & Qian, Dong & Xi, You-Min, 2009. "Comprehensive evaluation of household indirect energy consumption and impacts of alternative energy policies in China by input-output analysis," Energy Policy, Elsevier, vol. 37(8), pages 3194-3204, August.
    12. Starkey, Richard, 2012. "Personal carbon trading: A critical survey Part 2: Efficiency and effectiveness," Ecological Economics, Elsevier, vol. 73(C), pages 19-28.
    13. Peters, Glen P., 2008. "From production-based to consumption-based national emission inventories," Ecological Economics, Elsevier, vol. 65(1), pages 13-23, March.
    14. Lenzen, Manfred & Wier, Mette & Cohen, Claude & Hayami, Hitoshi & Pachauri, Shonali & Schaeffer, Roberto, 2006. "A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan," Energy, Elsevier, vol. 31(2), pages 181-207.
    15. 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.
    16. repec:cep:sticas:/152 is not listed on IDEAS
    17. Druckman, Angela & Jackson, Tim, 2010. "The bare necessities: How much household carbon do we really need?," Ecological Economics, Elsevier, vol. 69(9), pages 1794-1804, July.
    18. Cellura, Maurizio & Longo, Sonia & Mistretta, Marina, 2012. "Application of the Structural Decomposition Analysis to assess the indirect energy consumption and air emission changes related to Italian households consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1135-1145.
    19. Chitnis, Mona & Druckman, Angela & Hunt, Lester C. & Jackson, Tim & Milne, Scott, 2012. "Forecasting scenarios for UK household expenditure and associated GHG emissions: Outlook to 2030," Ecological Economics, Elsevier, vol. 84(C), pages 129-141.
    20. Wei, Yi-Ming & Liu, Lan-Cui & Fan, Ying & Wu, Gang, 2007. "The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents," Energy Policy, Elsevier, vol. 35(1), pages 247-257, January.
    21. Brannlund, Runar & Ghalwash, Tarek & Nordstrom, Jonas, 2007. "Increased energy efficiency and the rebound effect: Effects on consumption and emissions," Energy Economics, Elsevier, vol. 29(1), pages 1-17, January.
    22. Giovanni Baiocchi & Jan Minx & Klaus Hubacek, 2010. "The Impact of Social Factors and Consumer Behavior on Carbon Dioxide Emissions in the United Kingdom," Journal of Industrial Ecology, Yale University, vol. 14(1), pages 50-72, January.
    23. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    24. Liang, Qiao-Mei & Wei, Yi-Ming, 2012. "Distributional impacts of taxing carbon in China: Results from the CEEPA model," Applied Energy, Elsevier, vol. 92(C), pages 545-551.
    25. Starkey, Richard, 2012. "Personal carbon trading: A critical survey," Ecological Economics, Elsevier, vol. 73(C), pages 7-18.
    26. Kim, Ji-Hyun, 2002. "Changes in consumption patterns and environmental degradation in Korea," Structural Change and Economic Dynamics, Elsevier, vol. 13(1), pages 1-48, March.
    27. Lee, Sungwon & Lee, Bumsoo, 2014. "The influence of urban form on GHG emissions in the U.S. household sector," Energy Policy, Elsevier, vol. 68(C), pages 534-549.
    28. Su, Bin & Ang, B.W., 2013. "Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports," Energy Policy, Elsevier, vol. 56(C), pages 83-87.
    29. Qiao-Mei Liang & Qian Wang & Yi-Ming Wei, 2013. "Assessing the Distributional Impacts of Carbon Tax among Households across Different Income Groups: The Case of China," Energy & Environment, , vol. 24(7-8), pages 1323-1346, December.
    30. Su, Bin & Ang, B.W., 2011. "Multi-region input–output analysis of CO2 emissions embodied in trade: The feedback effects," Ecological Economics, Elsevier, vol. 71(C), pages 42-53.
    31. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    32. Malla, Sunil, 2013. "Household energy consumption patterns and its environmental implications: Assessment of energy access and poverty in Nepal," Energy Policy, Elsevier, vol. 61(C), pages 990-1002.
    33. Ming Zhang & Yan Song, 2015. "Exploring influence factors governing the changes in China’s final energy consumption under a new framework," 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. 78(1), pages 653-668, August.
    34. Zhu, Qin & Peng, Xizhe & Wu, Kaiya, 2012. "Calculation and decomposition of indirect carbon emissions from residential consumption in China based on the input–output model," Energy Policy, Elsevier, vol. 48(C), pages 618-626.
    35. Saamah Abdallah & Ian Gough & Victoria Johnson & Josh Ryan-Collins & Cindy Smith, 2011. "The distribution of total greenhouse gas emissions by households in the UK, and some implications for social policy," CASE Papers case152, Centre for Analysis of Social Exclusion, LSE.
    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. PU, Zhengning & FEI, Jinhua, 2022. "The impact of digital finance on residential carbon emissions: Evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 515-527.
    2. Tian, Jing & Andraded, Celio & Lumbreras, Julio & Guan, Dabo & Wang, Fangzhi & Liao, Hua, 2018. "Integrating Sustainability Into City-level CO2 Accounting: Social Consumption Pattern and Income Distribution," Ecological Economics, Elsevier, vol. 153(C), pages 1-16.
    3. Zhang, Yimeng & Wang, Feng & Zhang, Bing, 2023. "The impacts of household structure transitions on household carbon emissions in China," Ecological Economics, Elsevier, vol. 206(C).
    4. Lebrand,Mathilde Sylvie Maria & Theophile,Ewane, 2022. "Rising Incomes, Transport Demand, and Sector Decarbonization," Policy Research Working Paper Series 10010, The World Bank.
    5. Xueting Jin & Yu Li & Dongqi Sun & Jinzhou Zhang & Ji Zheng, 2019. "Factors Controlling Urban and Rural Indirect Carbon Dioxide Emissions in Household Consumption: A Case Study in Beijing," Sustainability, MDPI, vol. 11(23), pages 1-21, November.
    6. Zhang, Hongwu & Shi, Xunpeng & Wang, Keying & Xue, Jinjun & Song, Ligang & Sun, Yongping, 2020. "Intertemporal lifestyle changes and carbon emissions: Evidence from a China household survey," Energy Economics, Elsevier, vol. 86(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. Pottier, Antonin, 2022. "Expenditure elasticity and income elasticity of GHG emissions: A survey of literature on household carbon footprint," Ecological Economics, Elsevier, vol. 192(C).
    2. Büchs, Milena & Schnepf, Sylke V., 2013. "Who emits most? Associations between socio-economic factors and UK households' home energy, transport, indirect and total CO2 emissions," Ecological Economics, Elsevier, vol. 90(C), pages 114-123.
    3. 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.
    4. Zhen, Wei & Zhong, Zhangqi & Wang, Yichen & Miao, Lu & Qin, Quande & Wei, Yi-Ming, 2019. "Evolution of urban household indirect carbon emission responsibility from an inter-sectoral perspective: A case study of Guangdong, China," Energy Economics, Elsevier, vol. 83(C), pages 197-207.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Shi, Xunpeng & Wang, Keying & Cheong, Tsun Se & Zhang, Hongwu, 2020. "Prioritizing driving factors of household carbon emissions: An application of the LASSO model with survey data," Energy Economics, Elsevier, vol. 92(C).
    12. Zhang, Hongwu & Shi, Xunpeng & Wang, Keying & Xue, Jinjun & Song, Ligang & Sun, Yongping, 2020. "Intertemporal lifestyle changes and carbon emissions: Evidence from a China household survey," Energy Economics, Elsevier, vol. 86(C).
    13. Xinkuo Xu & Liyan Han, 2017. "Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China," Sustainability, MDPI, vol. 9(9), pages 1-25, September.
    14. 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.
    15. Buchs, Milena & Schnepf, Sylke V., 2013. "UK Households' Carbon Footprint: A Comparison of the Association between Household Characteristics and Emissions from Home Energy, Transport and Other Goods and Services," IZA Discussion Papers 7204, Institute of Labor Economics (IZA).
    16. 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.
    17. Yueyue Rong & Junsong Jia & Min Ju & Chundi Chen & Yangming Zhou & Yexi Zhong, 2021. "Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    18. Anderson, Blake & M'Gonigle, Michael, 2012. "Does ecological economics have a future?," Ecological Economics, Elsevier, vol. 84(C), pages 37-48.
    19. Haitao Zheng & Qi Fang & Cheng Wang & Huiwen Wang & Ruoen Ren, 2017. "China’s Carbon Footprint Based on Input-Output Table Series: 1992–2020," Sustainability, MDPI, vol. 9(3), pages 1-17, March.
    20. Chen, Jiandong & Cheng, Shulei & Song, Malin, 2017. "Decomposing inequality in energy-related CO2 emissions by source and source increment: The roles of production and residential consumption," Energy Policy, Elsevier, vol. 107(C), pages 698-710.

    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:spr:nathaz:v:84:y:2016:i:1:d:10.1007_s11069-015-2067-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.