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Driving Forces of CO 2 Emissions in Emerging Countries: LMDI Decomposition Analysis on China and India’s Residential Sector

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  • Yeongjun Yeo

    (Technology Management, Economics, and Policy Program, College of Engineering, Seoul National University, Seoul 151-742, Korea)

  • Dongnyok Shim

    (Technology Management, Economics, and Policy Program, College of Engineering, Seoul National University, Seoul 151-742, Korea)

  • Jeong-Dong Lee

    (Technology Management, Economics, and Policy Program, College of Engineering, Seoul National University, Seoul 151-742, Korea)

  • Jörn Altmann

    (Technology Management, Economics, and Policy Program, College of Engineering, Seoul National University, Seoul 151-742, Korea)

Abstract

The main objective of this paper is to identify and analyze the key drivers behind changes of CO 2 emissions in the residential sectors of the emerging economies, China and India. For the analysis, we investigate to what extent changes in residential emissions are due to changes in energy emissions coefficients, energy consumption structure, energy intensity, household income, and population size. We decompose the changes in residential CO 2 emissions in China and India into these five contributing factors from 1990 to 2011 by applying the Logarithmic Mean Divisia Index (LMDI) method. Our results show that the increase in per capita income level was the biggest contributor to the increase of residential CO 2 emissions, while the energy intensity effect had the largest effect on CO 2 emissions reduction in residential sectors in both countries. This implies that investments for energy savings, technological improvements, and energy efficiency policies were effective in mitigating CO 2 emissions. Our results also depict that the change in CO 2 emission coefficients for fuels which include both direct and indirect emission coefficients slowed down the increase of residential emissions. Finally, our results demonstrate that changes in the population and energy consumption structure drove the increase in CO 2 emissions.

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  • Yeongjun Yeo & Dongnyok Shim & Jeong-Dong Lee & Jörn Altmann, 2015. "Driving Forces of CO 2 Emissions in Emerging Countries: LMDI Decomposition Analysis on China and India’s Residential Sector," Sustainability, MDPI, vol. 7(12), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:12:p:15805-16129:d:59949
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    1. Ang, B. W. & Pandiyan, G., 1997. "Decomposition of energy-induced CO2 emissions in manufacturing," Energy Economics, Elsevier, vol. 19(3), pages 363-374, July.
    2. Glaeser, Edward L. & Kahn, Matthew E., 2010. "The greenness of cities: Carbon dioxide emissions and urban development," Journal of Urban Economics, Elsevier, vol. 67(3), pages 404-418, May.
    3. Zhang, Xing-Ping & Cheng, Xiao-Mei, 2009. "Energy consumption, carbon emissions, and economic growth in China," Ecological Economics, Elsevier, vol. 68(10), pages 2706-2712, August.
    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. Chandran Govindaraju, V.G.R. & Tang, Chor Foon, 2013. "The dynamic links between CO2 emissions, economic growth and coal consumption in China and India," Applied Energy, Elsevier, vol. 104(C), pages 310-318.
    6. Siqi Zheng & Rui Wang & Edward L. Glaeser & Matthew E. Kahn, 2011. "The greenness of China: household carbon dioxide emissions and urban development," Journal of Economic Geography, Oxford University Press, vol. 11(5), pages 761-792, September.
    7. Sahba Fatima & Kaustuva Barik, 2012. "Technical Efficiency of Thermal Power Generation in India: Post-Restructuring Experience," International Journal of Energy Economics and Policy, Econjournals, vol. 2(4), pages 210-224.
    8. 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.
    9. Jeong, Kyonghwa & Kim, Suyi, 2013. "LMDI decomposition analysis of greenhouse gas emissions in the Korean manufacturing sector," Energy Policy, Elsevier, vol. 62(C), pages 1245-1253.
    10. Xu, Shaofeng & Chen, Wenying, 2006. "The reform of electricity power sector in the PR of China," Energy Policy, Elsevier, vol. 34(16), pages 2455-2465, November.
    11. Liaskas, K. & Mavrotas, G. & Mandaraka, M. & Diakoulaki, D., 2000. "Decomposition of industrial CO2 emissions:: The case of European Union," Energy Economics, Elsevier, vol. 22(4), pages 383-394, August.
    12. Nie, Hongguang & Kemp, René, 2014. "Index decomposition analysis of residential energy consumption in China: 2002–2010," Applied Energy, Elsevier, vol. 121(C), pages 10-19.
    13. 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.
    14. Ang, BW, 1994. "Decomposition of industrial energy consumption : The energy intensity approach," Energy Economics, Elsevier, vol. 16(3), pages 163-174, July.
    15. 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.
    16. Pachauri, Shonali & Jiang, Leiwen, 2008. "The household energy transition in India and China," Energy Policy, Elsevier, vol. 36(11), pages 4022-4035, November.
    17. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    18. Price, Lynn & Levine, Mark D. & Zhou, Nan & Fridley, David & Aden, Nathaniel & Lu, Hongyou & McNeil, Michael & Zheng, Nina & Qin, Yining & Yowargana, Ping, 2011. "Assessment of China's energy-saving and emission-reduction accomplishments and opportunities during the 11th Five Year Plan," Energy Policy, Elsevier, vol. 39(4), pages 2165-2178, April.
    19. Pereira, Marcio Giannini & Sena, José Antonio & Freitas, Marcos Aurélio Vasconcelos & Silva, Neilton Fidelis da, 2011. "Evaluation of the impact of access to electricity: A comparative analysis of South Africa, China, India and Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1427-1441, April.
    20. Amit Basole & Deepankar Basu, 2015. "Non-Food Expenditures and Consumption Inequality in India," UMASS Amherst Economics Working Papers 2015-06, University of Massachusetts Amherst, Department of Economics.
    21. Jayanthakumaran, Kankesu & Verma, Reetu & Liu, Ying, 2012. "CO2 emissions, energy consumption, trade and income: A comparative analysis of China and India," Energy Policy, Elsevier, vol. 42(C), pages 450-460.
    22. Thakur, Tripta & Deshmukh, S. G. & Kaushik, S. C. & Kulshrestha, Mukul, 2005. "Impact assessment of the Electricity Act 2003 on the Indian power sector," Energy Policy, Elsevier, vol. 33(9), pages 1187-1198, June.
    23. Vives, Xavier, 1990. "Nash equilibrium with strategic complementarities," Journal of Mathematical Economics, Elsevier, vol. 19(3), pages 305-321.
    24. Wuyuan Peng & Jiahua Pan, 2006. "Rural Electrification in China: History and Institution," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 14(1), pages 71-84, February.
    25. Uwe Remme & Nathalie Trudeau & Dagmar Graczyk & Peter Taylor, 2011. "Technology Development Prospects for the Indian Power Sector," IEA Energy Papers 2011/4, OECD Publishing.
    26. 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.
    27. Cherni, Judith A. & Kentish, Joanna, 2007. "Renewable energy policy and electricity market reforms in China," Energy Policy, Elsevier, vol. 35(7), pages 3616-3629, July.
    28. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    29. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    30. Albrecht, Johan & Francois, Delphine & Schoors, Koen, 2002. "A Shapley decomposition of carbon emissions without residuals," Energy Policy, Elsevier, vol. 30(9), pages 727-736, July.
    31. Chaurey, Akanksha & Ranganathan, Malini & Mohanty, Parimita, 2004. "Electricity access for geographically disadvantaged rural communities--technology and policy insights," Energy Policy, Elsevier, vol. 32(15), pages 1693-1705, October.
    32. Kanagawa, Makoto & Nakata, Toshihiko, 2008. "Assessment of access to electricity and the socio-economic impacts in rural areas of developing countries," Energy Policy, Elsevier, vol. 36(6), pages 2016-2029, June.
    33. 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.
    34. Desyllas, Panos & Hughes, Alan, 2010. "Do high technology acquirers become more innovative?," Research Policy, Elsevier, vol. 39(8), pages 1105-1121, October.
    35. Bhattacharyya, Subhes C., 2006. "Energy access problem of the poor in India: Is rural electrification a remedy?," Energy Policy, Elsevier, vol. 34(18), pages 3387-3397, December.
    36. Kroeze, Carolien & Vlasblom, Jaklien & Gupta, Joyeeta & Boudri, Christiaan & Blok, Kornelis, 2004. "The power sector in China and India: greenhouse gas emissions reduction potential and scenarios for 1990-2020," Energy Policy, Elsevier, vol. 32(1), pages 55-76, January.
    37. Milgrom, Paul & Roberts, John, 1995. "Complementarities and fit strategy, structure, and organizational change in manufacturing," Journal of Accounting and Economics, Elsevier, vol. 19(2-3), pages 179-208, April.
    38. Bhattacharyya, Subhes C., 2005. "The Electricity Act 2003: will it transform the Indian power sector?," Utilities Policy, Elsevier, vol. 13(3), pages 260-272, September.
    39. Rong, Fang, 2010. "Understanding developing country stances on post-2012 climate change negotiations: Comparative analysis of Brazil, China, India, Mexico, and South Africa," Energy Policy, Elsevier, vol. 38(8), pages 4582-4591, August.
    40. L. Schipper & R. Haas & C. Sheinbaum, 1996. "Recent Trends in Residential Energy Use in OECD Countries and their Impact on Carbon Dioxide Emissions: A Comparative Analysis of the Period 1973–1992," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 1(2), pages 167-196, December.
    41. Ang, B. W. & Lee, S. Y., 1994. "Decomposition of industrial energy consumption : Some methodological and application issues," Energy Economics, Elsevier, vol. 16(2), pages 83-92, April.
    42. Zhe Wang & Lin Zhao & Guozhu Mao & Ben Wu, 2015. "Factor Decomposition Analysis of Energy-Related CO 2 Emissions in Tianjin, China," Sustainability, MDPI, vol. 7(8), pages 1-16, July.
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    2. Meiting Tu & Ye Li & Lei Bao & Yuao Wei & Olivier Orfila & Wenxiang Li & Dominique Gruyer, 2019. "Logarithmic Mean Divisia Index Decomposition of CO 2 Emissions from Urban Passenger Transport: An Empirical Study of Global Cities from 1960–2001," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    3. Kuşkaya, Sevda, 2022. "Residential solar energy consumption and greenhouse gas nexus: Evidence from Morlet wavelet transforms," Renewable Energy, Elsevier, vol. 192(C), pages 793-804.
    4. Minda Ma & Liyin Shen & Hong Ren & Weiguang Cai & Zhili Ma, 2017. "How to Measure Carbon Emission Reduction in China’s Public Building Sector: Retrospective Decomposition Analysis Based on STIRPAT Model in 2000–2015," Sustainability, MDPI, vol. 9(10), pages 1-16, September.
    5. Chen, Jiandong & Wang, Ping & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2018. "Decomposition and decoupling analysis of CO2 emissions in OECD," Applied Energy, Elsevier, vol. 231(C), pages 937-950.
    6. Linwei Ma & Chinhao Chong & Xi Zhang & Pei Liu & Weiqi Li & Zheng Li & Weidou Ni, 2018. "LMDI Decomposition of Energy-Related CO 2 Emissions Based on Energy and CO 2 Allocation Sankey Diagrams: The Method and an Application to China," Sustainability, MDPI, vol. 10(2), pages 1-37, January.
    7. Xiaohu Lin & Jie Ren & Jingcheng Xu & Tao Zheng & Wei Cheng & Junlian Qiao & Juwen Huang & Guangming Li, 2018. "Prediction of Life Cycle Carbon Emissions of Sponge City Projects: A Case Study in Shanghai, China," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    8. Balezentis, Tomas, 2020. "Shrinking ageing population and other drivers of energy consumption and CO2 emission in the residential sector: A case from Eastern Europe," Energy Policy, Elsevier, vol. 140(C).
    9. Yoonhwan Oh & Jungsub Yoon & Jeong-Dong Lee, 2016. "Evolutionary Patterns of Renewable Energy Technology Development in East Asia (1990–2010)," Sustainability, MDPI, vol. 8(8), pages 1-24, July.
    10. Zhaosu Meng & Huan Wang & Baona Wang, 2018. "Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China," IJERPH, MDPI, vol. 15(11), pages 1-15, November.

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    More about this item

    Keywords

    CO 2 emissions; emerging economy; residential sector; Logarithmic Mean Divisia Index (LMDI) method;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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