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Temporal and Spatial Analysis of Integrated Energy and Environment Efficiency in China Based on a Green GDP Index

Author

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  • Weibin Lin

    () (School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China
    School of Environment, Beijing Normal University, Beijing 100875, China)

  • Jin Yang

    () (School of Environment, Beijing Normal University, Beijing 100875, China
    China Energy Research Society, Beijing 100045, China)

  • Bin Chen

    () (School of Environment, Beijing Normal University, Beijing 100875, China
    China Energy Research Society, Beijing 100045, China)

Abstract

China is experiencing a high speed economic development which may exert great pressure on the environment and energy systems. To measure the environmental and energy performance during the economic development process, this paper selected 30 provinces, cities or autonomous regions as the decision making unit (DMU), and proposed a Green GDP index (GGI) in view of energy intensity and pollution intensity using the generalized Data Envelopment Analysis (DEA) method, and the developing trends of integrated energy and environment efficiency of DMUs from 2006 to 2010 are also demonstrated by the Malmquist index. Results show that the integrated energy and environment efficiency varies for each DMU. GGI were both 1 in Beijing and Shanghai. GGI values for the developed cities in Eastern China, such as Guangdong, Fujian, Zhejiang, Tianjin, Jiangsu, and Hainan, ranked high, while those in the Northeast and Middle China remained relatively low. Moreover, there is a positive relationship between the GGI and per capita GDP with a correlation coefficient of 0.75. Increases in GGI are also observed in the results, representing great achievements are acquired in energy conservation and emission reduction. However, the GGIs do not converge to the green frontier across the provinces.

Suggested Citation

  • Weibin Lin & Jin Yang & Bin Chen, 2011. "Temporal and Spatial Analysis of Integrated Energy and Environment Efficiency in China Based on a Green GDP Index," Energies, MDPI, Open Access Journal, vol. 4(9), pages 1-15, September.
  • Handle: RePEc:gam:jeners:v:4:y:2011:i:9:p:1376-1390:d:13917
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    References listed on IDEAS

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    Cited by:

    1. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    2. Qiang Wang & Rongrong Li & Rui Jiang, 2016. "Decoupling and Decomposition Analysis of Carbon Emissions from Industry: A Case Study from China," Sustainability, MDPI, Open Access Journal, vol. 8(10), pages 1-17, October.
    3. Wei Li & Shuang Sun & Hao Li, 2015. "Decomposing the decoupling relationship between energy-related CO 2 emissions and economic growth in China," 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. 79(2), pages 977-997, November.
    4. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    5. repec:eee:ejores:v:264:y:2018:i:1:p:1-16 is not listed on IDEAS
    6. repec:spr:nathaz:v:89:y:2017:i:2:d:10.1007_s11069-017-2981-5 is not listed on IDEAS
    7. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    8. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, Open Access Journal, vol. 7(4), pages 1-15, April.
    9. Wu, Jie & Zhu, Qingyuan & Liang, Liang, 2016. "CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China," Applied Energy, Elsevier, vol. 166(C), pages 282-291.

    More about this item

    Keywords

    integrated energy and environment efficiency; green GDP index; data envelopment analysis; Malmquist index;

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other

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