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Environmental total factor productivity and regional disparity in China

Author

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  • Keyun Zhang
  • Yi Yi
  • Wenbin Zhang

Abstract

We apply Malmquist index to measure Environmental Total Factor Growth in a sample of 28 provinces and cities in China over the period 1992–2009 while the removal amount of COD and SO $$_{2}$$ 2 is regarded as the output for the first time, and analyze the impact of regional economic disparities on it from a different point of view. It is shown that, there is an inverted U-curve relation between GRP per capita and environmental total factor productivity growth, so the decrease of regional economic disparities will narrow the gap in productivity growth. Higher levels of industrialization lead to a decline in productivity growth, while population density and the degree of dependence on foreign trade have a significant positive effect, therefore China has not gone out of the extensive growth mode. In addition, the Lateral economic region division is instructive for regional economic and ecological problems. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Keyun Zhang & Yi Yi & Wenbin Zhang, 2014. "Environmental total factor productivity and regional disparity in China," Letters in Spatial and Resource Sciences, Springer, vol. 7(1), pages 9-21, March.
    • Handle: RePEc:spr:lsprsc:v:7:y:2014:i:1:p:9-21
    DOI: 10.1007/s12076-013-0097-4
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    References listed on IDEAS

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    1. Yoruk, BarIs K. & Zaim, Osman, 2005. "Productivity growth in OECD countries: A comparison with Malmquist indices," Journal of Comparative Economics, Elsevier, vol. 33(2), pages 401-420, June.
    2. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-1039, December.
    3. Pooran Lall & Allen Featherstone & David Norman, 2002. "Productivity Growth in the Western Hemisphere (1978–94): The Caribbean in Perspective," Journal of Productivity Analysis, Springer, vol. 17(3), pages 213-231, May.
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    Cited by:

    1. Anping Chen & Peter Nijkamp & Takatoshi Tabuchi & Jouke Dijk, 2014. "Regional science research in China: Spatial dynamics, disparities and regional productivity," Papers in Regional Science, Wiley Blackwell, vol. 93(2), pages 223-227, June.
    2. Shuai Wang & Cunyi Yang & Zhenghui Li, 2022. "Green Total Factor Productivity Growth: Policy-Guided or Market-Driven?," IJERPH, MDPI, vol. 19(17), pages 1-19, August.
    3. Liu, Zuankuo & Xin, Li, 2019. "Has China's Belt and Road Initiative promoted its green total factor productivity？——Evidence from primary provinces along the route," Energy Policy, Elsevier, vol. 129(C), pages 360-369.
    4. Honghao Ren & Henk Folmer & Arno J. Van der Vlist, 2018. "The Impact of Home Ownership on Life Satisfaction in Urban China: A Propensity Score Matching Analysis," Journal of Happiness Studies, Springer, vol. 19(2), pages 397-422, February.
    5. Juan Du & Yongrui Duan & Jinghua Xu, 2019. "The infeasible problem of Malmquist–Luenberger index and its application on China’s environmental total factor productivity," Annals of Operations Research, Springer, vol. 278(1), pages 235-253, July.

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    More about this item

    Keywords

    Regional economic disparity; Environmental total factor productivity; Inverted U-curve; C61; O47;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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