IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v88y2017i2d10.1007_s11069-017-2888-1.html
   My bibliography  Save this article

Investigating the sensitivity factors of household indirect CO2 emission from the production side

Author

Listed:
  • Tao Lin

    (Tianjin University of Commerce)

  • Junna Yan

    (Tianjin University of Finance and Economics)

Abstract

Indirect emission from household consumption, which is affected by technologies of production sectors, is the significant contributor to national CO2 emission. Input–output model is preferred when direct and indirect transactions and emissions are considered simultaneously. Based on input–output model, this study applies the sensitivity analysis to indirect emission from rural and urban domestic consumption, respectively. It allows us to investigate the influences of the technology change both at the transaction level and at the sector level. In addition, multi-years symmetrical input–output tables are adopted to obtain dynamic analysis in order to study the variation trend of the influences. At the transaction level, the technology change of production and supply of electric power and heat power self-supplied intermediate inputs exerts the most significant influence on indirect emission from both rural and urban consumption. At the sector level, indirect emissions from rural and urban consumption are both the most sensitive to the technology change of chemistry industry. Furthermore, there are more key transactions selected under consideration of rural domestic consumption compared with the urban. Additionally, the influencing degree and variation trends of the same technology change would be different between rural and urban situation. According to the above findings, policy recommendations aiming at achieving emission abatement from household consumption are provided in detail.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:nathaz:v:88:y:2017:i:2:d:10.1007_s11069-017-2888-1
    DOI: 10.1007/s11069-017-2888-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-017-2888-1
    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/s11069-017-2888-1?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. Su, Bin & Huang, H.C. & Ang, B.W. & Zhou, P., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of sector aggregation," Energy Economics, Elsevier, vol. 32(1), pages 166-175, January.
    2. 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.
    3. Vringer, Kees & Blok, Kornelis, 1995. "The direct and indirect energy requirements of households in the Netherlands," Energy Policy, Elsevier, vol. 23(10), pages 893-910, October.
    4. Tarancón, Miguel Ángel & del Río, Pablo & Callejas, Fernando, 2011. "Determining the responsibility of manufacturing sectors regarding electricity consumption. The Spanish case," Energy, Elsevier, vol. 36(1), pages 46-52.
    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. Galvin, Ray, 2014. "Estimating broad-brush rebound effects for household energy consumption in the EU 28 countries and Norway: some policy implications of Odyssee data," Energy Policy, Elsevier, vol. 73(C), pages 323-332.
    7. Wang, Qiang & Wu, Shi-dai & Zeng, Yue-e & Wu, Bo-wei, 2016. "Exploring the relationship between urbanization, energy consumption, and CO2 emissions in different provinces of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1563-1579.
    8. Weber, Christoph & Perrels, Adriaan, 2000. "Modelling lifestyle effects on energy demand and related emissions," Energy Policy, Elsevier, vol. 28(8), pages 549-566, July.
    9. Xu, Xianshuo & Zhao, Tao & Liu, Nan & Kang, Jidong, 2014. "Changes of energy-related GHG emissions in China: An empirical analysis from sectoral perspective," Applied Energy, Elsevier, vol. 132(C), pages 298-307.
    10. Pachauri, Shonali, 2004. "An analysis of cross-sectional variations in total household energy requirements in India using micro survey data," Energy Policy, Elsevier, vol. 32(15), pages 1723-1735, October.
    11. Wang, Qiang, 2014. "Effects of urbanisation on energy consumption in China," Energy Policy, Elsevier, vol. 65(C), pages 332-339.
    12. Wang, Zhaohua & Liu, Wei, 2015. "Determinants of CO2 emissions from household daily travel in Beijing, China: Individual travel characteristic perspectives," Applied Energy, Elsevier, vol. 158(C), pages 292-299.
    13. Zhang, Ming & Guo, Fangyan, 2013. "Analysis of rural residential commercial energy consumption in China," Energy, Elsevier, vol. 52(C), pages 222-229.
    14. Zhang, Ming & Su, Bin, 2016. "Assessing China's rural household energy sustainable development using improved grouped principal component method," Energy, Elsevier, vol. 113(C), pages 509-514.
    15. Su, Bin & Ang, B.W., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of spatial aggregation," Ecological Economics, Elsevier, vol. 70(1), pages 10-18, November.
    16. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    17. Park, Hi-Chun & Heo, Eunnyeong, 2007. "The direct and indirect household energy requirements in the Republic of Korea from 1980 to 2000--An input-output analysis," Energy Policy, Elsevier, vol. 35(5), pages 2839-2851, May.
    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. Cohen, Claude & Lenzen, Manfred & Schaeffer, Roberto, 2005. "Energy requirements of households in Brazil," Energy Policy, Elsevier, vol. 33(4), pages 555-562, March.
    20. Xu, X.Y. & Ang, B.W., 2014. "Analysing residential energy consumption using index decomposition analysis," Applied Energy, Elsevier, vol. 113(C), pages 342-351.
    21. 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.
    22. Golley, Jane & Meng, Xin, 2012. "Income inequality and carbon dioxide emissions: The case of Chinese urban households," Energy Economics, Elsevier, vol. 34(6), pages 1864-1872.
    23. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    24. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2012. "The impacts of China’s household consumption expenditure patterns on energy demand and carbon emissions towards 2050," Energy Policy, Elsevier, vol. 50(C), pages 736-750.
    25. Pachauri, Shonali & Spreng, Daniel, 2002. "Direct and indirect energy requirements of households in India," Energy Policy, Elsevier, vol. 30(6), pages 511-523, May.
    26. Yan, Junna & Zhao, Tao & Kang, Jidong, 2016. "Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input–output model," Applied Energy, Elsevier, vol. 171(C), pages 456-467.
    27. Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.
    28. Zhang, Ming & Song, Yan & Li, Peng & Li, Huanan, 2016. "Study on affecting factors of residential energy consumption in urban and rural Jiangsu," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 330-337.
    29. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    30. 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.
    31. Du, Gang & Lin, Wei & Sun, Chuanwang & Zhang, Dingzhong, 2015. "Residential electricity consumption after the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 157(C), pages 276-283.
    32. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    33. Hondo, Hiroki & Sakai, Shinsuke & Tanno, Shiro, 2002. "Sensitivity analysis of total CO2 emission intensities estimated using an input-output table," Applied Energy, Elsevier, vol. 72(3-4), pages 689-704, July.
    34. Liu, Wenling & Spaargaren, Gert & Heerink, Nico & Mol, Arthur P.J. & Wang, Can, 2013. "Energy consumption practices of rural households in north China: Basic characteristics and potential for low carbon development," Energy Policy, Elsevier, vol. 55(C), pages 128-138.
    35. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    36. 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.
    37. 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.
    38. Liu, Zhu & Liang, Sai & Geng, Yong & Xue, Bing & Xi, Fengming & Pan, Ying & Zhang, Tianzhu & Fujita, Tsuyoshi, 2012. "Features, trajectories and driving forces for energy-related GHG emissions from Chinese mega cites: The case of Beijing, Tianjin, Shanghai and Chongqing," Energy, Elsevier, vol. 37(1), pages 245-254.
    39. 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.
    40. 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. 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.
    2. Huimin Zhou & Pei Wang & Chengxin Wang & Xiangzheng Deng & Kai Liu, 2019. "Investigation of a spatial coupling relationship between carbon emission performance and regional urbanization in China," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-22, September.

    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. 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.
    2. Jiansheng Qu & Tek Maraseni & Lina Liu & Zhiqiang Zhang & Talal Yusaf, 2015. "A Comparison of Household Carbon Emission Patterns of Urban and Rural China over the 17 Year Period (1995–2011)," Energies, MDPI, vol. 8(9), pages 1-21, September.
    3. 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.
    4. 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.
    5. Kim, Yong-Gun & Yoo, Jonghyun & Oh, Wankeun, 2015. "Driving forces of rapid CO2 emissions growth: A case of Korea," Energy Policy, Elsevier, vol. 82(C), pages 144-155.
    6. 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.
    7. Das, Aparna & Paul, Saikat Kumar, 2013. "Changes in energy requirements of the residential sector in India between 1993–94 and 2006–07," Energy Policy, Elsevier, vol. 53(C), pages 27-40.
    8. Yong Yang & Junsong Jia & Adam T. Devlin & Yangming Zhou & Dongming Xie & Min Ju, 2020. "Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, China," Energies, MDPI, vol. 13(17), pages 1-21, August.
    9. Zhipeng Tang & Shuang Wu & Jialing Zou, 2020. "Consumption substitution and change of household indirect energy consumption in China between 1997 and 2012," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-19, August.
    10. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    11. Yan, Junna & Zhao, Tao & Kang, Jidong, 2016. "Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input–output model," Applied Energy, Elsevier, vol. 171(C), pages 456-467.
    12. 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.
    13. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    14. 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.
    15. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    16. 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.
    17. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 220-233.
    18. Changjian Wang & Fei Wang, 2015. "Structural Decomposition Analysis of Carbon Emissions and Policy Recommendations for Energy Sustainability in Xinjiang," Sustainability, MDPI, vol. 7(6), pages 1-20, June.
    19. 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.
    20. Lina Liu & Jiansheng Qu & Afton Clarke-Sather & Tek Narayan Maraseni & Jiaxing Pang, 2017. "Spatial Variations and Determinants of Per Capita Household CO 2 Emissions (PHCEs) in China," Sustainability, MDPI, vol. 9(7), pages 1-19, July.

    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:88:y:2017:i:2:d:10.1007_s11069-017-2888-1. 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.