JOURNAL OF NATURAL RESOURCES ›› 2017, Vol. 32 ›› Issue (5): 788-799.doi: 10.11849/zrzyxb.20160512

• Resource Evaluation • Previous Articles     Next Articles

Coupling and Coordinating Degrees of Provincial Economy, Resources and Environment in China

JIANG Lei1, BAI Ling2, WU Yu-ming3   

  1. 1. School of Economics, Zhejiang University of Finance & Economics, Hangzhou 310018, China;
    2. School of Economics and Management, Nanchang University, Nanchang 330031, China;
    3. School of Business, East China University of Science and Technology, Shanghai 200237, China
  • Received:2016-05-18 Revised:2016-09-22 Online:2017-05-20 Published:2017-05-20
  • Supported by:
    National Natural Science Foundation of China, No.71373079; National Social Science Foundation of China, No.15FJL012

Abstract: For the purpose of transition of economic development pattern, China’s social-economic sustainable development depends on the harmonious development of economy, resources and environment. Coupling and coordinating degrees are designed to measure the interaction and mutual influence of two or more systems. Coupling degree is highly explainable and operational. Hence, it has been widely used in recent years. However, in many empirical studies, coupling degree formula was usually not used correctly. As a consequence, the range of the coupling degree could not be in the interval [0, 1]. One aim of this paper is to discuss and revise the coupling degree formula. A revised coupling degree formula is obtained and extended to n systems. This paper uses the revised coupling degree formula to calculate the coupling and coordinating degrees of three systems of 31 provinces in mainland China after comprehensive evaluation of provincial economic development, resources endowment and eco-environment. Then, it highlights the spatial analysis of the coupling and coordinating degrees in 31 provinces. The main results are the following. During the period of 2003-2014, generally the coupling degree had an increasing trend. Similarly, the coordinating degree grew up over time. From the spatio-temporal perspective, there was little variation in spatial distribution of coupling degrees of 31 provinces. Moreover, there was significant evidence of spatial autocorrelation of provincial coupling degrees of 31 provinces while provincial coordinating degrees of 31 provinces showed random spatial distribution.

Key words: China, coordination, coupling degree, coupling degree formula, eco-environment, resources endowment, economic development

CLC Number: 

  • F062.1