JOURNAL OF NATURAL RESOURCES ›› 2021, Vol. 36 ›› Issue (3): 793-810.doi: 10.31497/zrzyxb.20210319

• Regular Articles • Previous Articles    

Research on misuses and modification of coupling coordination degree model in China

WANG Shu-jia1,2(), KONG Wei2,3(), REN Liang2, ZHI Dan-dan2, DAI Bin-ting4   

  1. 1. School of Tourism Management, Sun Yat-sen University, Guangzhou 510275, China
    2. Ecological Construction and Industry Development Research Center, Hebei North University, Zhangjiakou 075000, Hebei, China
    3. School of Economics and Management, Hebei University of Technology, Tianjin 300401, China
    4. College of Science, Hebei North University, Zhangjiakou 075000, Hebei, China
  • Received:2019-07-17 Revised:2019-12-16 Online:2021-03-28 Published:2021-05-28
  • Contact: KONG Wei;


With the deepening understanding of the Scientific Outlook on Development, the coupling coordination degree model has become an effective evaluation and research tool for the regional overall balanced development. However, for this model, there are four types of misuses, including writing errors, coefficients loss, weight misuses and model failures, which have significantly affected the scientific nature of academic research. Therefore, this study firstly clarified the normative formula of the traditional coupling coordination degree model. On the basis of discussing the validity of the traditional model in the field of social science research, this study further proposed a modified model of coupling degree. In addition, the coupling coordination degree model has three reliability issues: the subjectivity of index construction, and the volatility and incomparability of coupling results. Taking the ecological and economic system of the Beijing-Tianjin-Hebei region as an example, we proved that the modified coupling coordination degree model has better validity, and the spatial and temporal changes of the research object will affect the reliability of the coupled coordination model.

Key words: coupling coordination degree, misuse, model validity, model reliability, model modification