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

Author

Listed:
  • 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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    7. Yuhan Yu & Mengmeng Yu & Lu Lin & Jiaxin Chen & Dongjie Li & Wenting Zhang & Kai Cao, 2019. "National Green GDP Assessment and Prediction for China Based on a CA-Markov Land Use Simulation Model," Sustainability, MDPI, Open Access Journal, vol. 11(3), pages 1-19, January.
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