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The threshold effect of the efficiency of science and technological services on regional environmental governance in China

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  • Congxin Li
  • Guozhu Li
  • Zining Li

Abstract

Through panel data for every province in China from 2006 to 2016, this paper studies the impact of the efficiency of science and technological services and the level of economic development on environmental governance, with the efficiency of science and technological services as the threshold variables. The results of the research indicate that the efficiency of science and technological services in China's provinces is low, while the regional gap is expanding. When the efficiency of science and technological services is the threshold variable, single threshold results are significant. When the efficiency of science and technological services is the threshold variable and when the efficiency of science and technological services is lower than the threshold value, there is a significant impact on environmental governance. If the efficiency of science and technological services crosses the threshold value, the impact of science and technological service efficiency on environmental governance becomes insignificant. For the level of economic development, it is a core explanatory variable and has a significant impact on environmental governance only when the efficiency of science and technological services is below the threshold value. According to the empirical results, this paper proposes corresponding countermeasures and suggestions.

Suggested Citation

  • Congxin Li & Guozhu Li & Zining Li, 2019. "The threshold effect of the efficiency of science and technological services on regional environmental governance in China," Growth and Change, Wiley Blackwell, vol. 50(3), pages 1026-1042, September.
    • Handle: RePEc:bla:growch:v:50:y:2019:i:3:p:1026-1042
    DOI: 10.1111/grow.12314
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    Cited by:

    1. Congxin Li & Guozhu Li, 2020. "Does environmental regulation reduce China’s haze pollution? An empirical analysis based on panel quantile regression," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-14, October.

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