Acta Geographica Sinica ›› 2021, Vol. 76 ›› Issue (3): 726-739.doi: 10.11821/dlxb202103016

• Environment and Ecosystem Services • Previous Articles     Next Articles

Spatio-temporal differentiation characteristics and influencing factors of green development in the eco-economic corridorof the Yellow River Basin

GUO Fuyou1,2(), TONG Lianjun3(), QIU Fangdao4, LI Yiming1   

  1. 1. College of Geography and Tourism, Qufu Normal University, Rizhao 276800, Shandong, China
    2. Rizhao Key Laboratory of Territory Spatial Planning and Ecological Construction, Rizhao 276800, Shandong, China
    3. Northeast Institute of Geography and Agricultural Ecology, CAS, Changchun 130102, China
    4. School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China
  • Received:2020-03-12 Revised:2020-12-12 Online:2021-03-25 Published:2021-05-25
  • Contact: TONG Lianjun E-mail:guofy945@nenu.edu.cn;tonglj@neigae.ac.cn
  • Supported by:
    National Natural Science Foundation of China(41801105);National Natural Science Foundation of China(41771138);National Natural Science Foundation of Shandong(ZR2018BD002);Social Science Planning Research Project of Shandong(18DJJJ14)

Abstract:

Based on the scientific connotation of green development, a comprehensive evaluation index system for green development in the Yellow River Basin was constructed, and various measurement methods such as entropy method, spatial autocorrelation analysis, and geographical detector model were used to study the spatio-temporal differentiation characteristics and the influencing factors of the green development in the eco-economic corridor of the Yellow River Basin. The results are obtained as follows: (1) The green development in the Yellow River Basin mainly originates from the external driving effects of large-scale expansion and the growth of total volume. Focusing only on pursuing the speed and scale of development but ignoring the connotative improvement of quality and efficiency will inevitably lead to the insufficiency of internal driving effects and unsustainability. (2) The number of areas with lower level of green development in the study area decreased continuously while that with a higher-level of green development rose slightly during the limited study period. However, the proportion of the numbers of areas with the lower level and medium-low level of green development remained above 65% for a long time, indicating that the level of green development needs further improvement. (3) From 2005 to 2017, the 61 prefecture-level cities in the Yellow River Basin generally showed relatively obvious spatial dependencies, and the green development level displayed a relatively obvious characteristic of spatial club convergence. The phenomenon of polarization in the study area was obvious. (4) The economic development level, science and technology level and government regulation are still the leading factors influencing the green development, and the explanatory power of interactions between factors for the green development far exceeds that of a single factor. This reflects the driving factors for green development in the Yellow River Basin are complex.

Key words: green development, spatio-temporal differentiation, influencing factor, geographical detector, Yellow River Basin