SCIENTIA GEOGRAPHICA SINICA ›› 2020, Vol. 40 ›› Issue (2): 200-210.doi: 10.13249/j.cnki.sgs.2020.02.005

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Performance Evaluation and Driving Mechanism of Green Development in Shandong Province Based on Panel Data of 17 Cities

Guo Fuyou1, Lyu Xiao1, Yu Wei1, Ren Jiamin2, Chu Nanchen2   

  1. 1. College of Geography and Tourism, Qufu Normal University, Rizhao 276826, Shandong, China
    2. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China
  • Received:2019-02-01 Revised:2019-05-09 Online:2020-02-10 Published:2020-04-09
  • Supported by:
    National Natural Science Foundation of China(41801105);National Natural Science Foundation of Shandong(ZR2018BD002);Social Science Planning Research Project of Shandong(18DJJJ14)

Abstract:

This paper comprehensively constructs the performance evaluation index system of green development, and analyzes its spatial-temporal pattern and driving mechanism of 17 cities in Shandong Province by using a variety of measurement methods. The results show that: 1) The "top-down" commanding characteristics of green development in Shandong are more prominent, and its development depends on the scale expansion and total growth of economic, and neglects the optimization and promotion of industrial structure and the lateral transfer feedback effect of economic factors; 2) The level of green development in Shandong is increasing, and the characteristics of club convergence are more prominent. But its low growth rate with 1.77% shows that the process of light and clear industry is slow, and the way of improving the green development quality is long and arduous; 3) The green development of Shandong has experienced an obvious process of spatial dependence. And there is obvious spatial differentiation in the green development, and the trend of polarization is obvious; 4) Spatial weighted regression models with spatial effects are more explanatory, and the per capita GDP, the number of R&D personnel and the investment of per capita fixed assets have a positive effect on the improvement of the green development. The second industrial added value / third industrial added value has negative correlation to the regression coefficient of green development, and the actual utilization of foreign capital has positive negative effect on the regression coefficient of green development.

Key words: green development, green development performance evaluation, resource environment, Shandong Province

CLC Number: 

  • F127