Journal of Jiangxi University of Finance and Economics ›› 2022, Vol. 0 ›› Issue (6): 13-16.

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Measurement Evaluation, Dynamic Distribution and Convergent Tendency of the Inclusive Green Development in the Yangtze River Economic Belt

WU Wu-lin1, LUO Shi-hua2, LIU Xiang-guan3   

  1. 1. Fujian Normal University, Fuzhou 350117;
    2. Jiangxi University of Finance and Economics, Nanchang 330013;
    3. Zhejiang University, Hangzhou 310027, China
  • Received:2022-04-10 Online:2022-11-25 Published:2022-12-08

Abstract: Based on the panel data of 11 provinces in the Yangtze River Economic Belt (YREB) from 2001 to 2019, this paper measures and evaluates the inclusive green development efficiency of the YREB by employing the fixed base difference entropy weight method.And it also investigates the dynamic distribution, regional difference and convergent tendency of the inclusive green development byadopting kernel density estimation, Theil index and convergent model. The results reveal that the inclusive green development efficiency of the YREB shows an obvious growth trend, and that the efficiency of each subsystem presents the distribution pattern of “economic development >social opportunity equity >green production and consumption >ecological environment protection”. The inclusive green development efficiency in the three regions shows a trend of progressive increase, presenting a distribution characteristic of “downstream > upstream > midstream”. The imbalance of the inclusive green development is prominent, but there is no polarization trend. The overall difference of the inclusive green development shows a downward trend, and the regional differences are the main source. The inclusive green development of the YREB and the three regions have the trend of convergence and absoluteconvergence. There is a trend of conditionalconvergence in the YREB and its upper and lower reaches, while the middle reaches are characterized by divergence.

Key words: efficiency ofinclusive green development, fixed base difference entropy weight method, Kernel density estimation, Theil index, convergent tendency.

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