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A Dynamic Analysis of Green Productivity Growth for Cities in Xinjiang

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  • Deshan Li

    (College of Environmental Economics, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Rongwei Wu

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

Abstract

Improving green productivity is an important way to achieve sustainable development. In this paper, we use the Global Malmquist-Luenberger (GML) index to measure and decompose the green productivity growth of 18 cities in Xinjiang over 2000–2015. Furthermore, this study also explores factors influencing urban green productivity growth. Our results reveal that the urban green productivity in Xinjiang has slowly declined during the sample period. Technological progress is the main factor contributing to green productivity growth, while improvements in efficiency lag behind. Implementing stricter environmental regulation, improving infrastructure, and appropriately enhancing the spatial agglomeration of economic activities may improve green productivity, while the increase in the size of the industrial base in the near future will likely hinder green productivity growth. Based on these results, this paper puts forward corresponding policy suggestions for the sustainable development of the urban economy in Xinjiang.

Suggested Citation

  • Deshan Li & Rongwei Wu, 2018. "A Dynamic Analysis of Green Productivity Growth for Cities in Xinjiang," Sustainability, MDPI, vol. 10(2), pages 1-13, February.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:2:p:515-:d:131952
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    References listed on IDEAS

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    2. Pastor, Jesus T. & Lovell, C.A. Knox & Aparicio, Juan, 2020. "Defining a new graph inefficiency measure for the proportional directional distance function and introducing a new Malmquist productivity index," European Journal of Operational Research, Elsevier, vol. 281(1), pages 222-230.
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