SCIENTIA GEOGRAPHICA SINICA ›› 2023, Vol. 43 ›› Issue (2): 337-348.doi: 10.13249/j.cnki.sgs.2023.02.015

Previous Articles     Next Articles

Spatial and temporal variation and influencing factors of agricultural green efficiency in the Yangtze River Economic Belt based on GWR

Lu Shan1(), Xiong Jiao2   

  1. 1. School of Resources and Environment, Hunan University of Technology and Business, Changsha 410205, Hunan, China
    2. Department of Tourism Management, South China University of Technology, Guangzhou 510641, Guangdong, China
  • Received:2021-10-16 Revised:2022-02-22 Online:2023-02-28 Published:2023-02-20
  • Supported by:
    National Social Science Foundation of China(20BJY123)

Abstract:

Based on the spatial scale of cities, the super-efficient MINDS model considering non-desired output was used to measure the agricultural green efficiency of 126 prefecture-level cities in the Yangtze River Economic Belt from 2001 to 2019, and the standard deviation ellipse and ESDA spatial statistics were used to reveal the spatial and temporal divergence characteristics of agricultural green efficiency, and the spatial heterogeneity influence of multiple factors on agricultural green efficiency in the Yangtze River Economic Belt was explored with the GWR model. The results show that: 1) the overall spatial distribution pattern of agricultural green efficiency in the Yangtze River Economic Zone shows a southwest-northeast trend and tends to polarize, and the center of gravity has a tendency to move to the east-northwest. 2) There is a significant positive spatial correlation between agricultural green efficiency in the Yangtze River Economic Zone. In the distribution of cold and hot spots, the hot spot areas converge to the Yangtze River Delta region, the secondary cold spot areas extend upstream, and the middle reaches develop into concentrated continuous cold spot areas. 3) There is a significant spatial non-equilibrium in the regression coefficients of all the influencing factors. The level of industrialization has a negative impact on agricultural green efficiency in most regions, with the weakest inhibitory effect in the upstream areas; the level of urbanization, the scale of agricultural land operation, and the level of agricultural mechanization have an overall positive correlation with agricultural green efficiency, with the regression coefficient of urbanization level decreasing from east to west, and the regression coefficient of the scale of agricultural land operation and agricultural mechanization level showing a collapse in the high east and low west; the overall impact of fiscal expenditure on agricultural green efficiency changes from positive to negative in the 13th Five-Year Plan period, but still plays a positive role in promoting agricultural green efficiency in upstream regions.

Key words: agricultural green efficiency, super-efficiency MINDS, geographical weighted regression, the Yangtze River Economic Belt

CLC Number: 

  • F323.22