湖北农业科学 ›› 2020, Vol. 59 ›› Issue (8): 194-198.doi: 10.14088/j.cnki.issn0439-8114.2020.08.044

• 经济·管理 • 上一篇    下一篇

基于LMDI的长江经济带农业用水驱动因素分析

盛前1, 夏语欣2, 沈晓梅3   

  1. 1.河海大学商学院,南京 211100;
    2.河海大学企业管理学院,江苏 常州 213022;
    3.盐城工学院经济管理学院,江苏 盐城 224051
  • 收稿日期:2019-07-18 出版日期:2020-04-25 发布日期:2020-07-03
  • 通讯作者: 沈晓梅(1972-),女,江苏如东人,教授,主要从事宏观经济管理与可持续发展研究,(电子信箱)ycitsxm@163.com。
  • 作者简介:盛 前(1999-),女,江苏盐城人,在读硕士研究生,主要研究方向为水利经济与水资源管理,(电话)18262623978(电子信箱)779417989@qq.com。
  • 基金资助:
    江苏省社会科学基金项目(19GLB023); 中国科学院创新实践训练计划项目(20184000907)

Analysis of driving factors of agricultural water in Yangtze River economic belt based on LMDI

SHENG Qian1, XIA Yu-xin2, SHEN Xiao-mei3   

  1. 1. Business School,Hohai University,Nanjing 211100,China;
    2. School of Business Administration,Hohai University,Changzhou 213022, Jiangsu,China;
    3. School of Economics and Management,Yancheng Institute of Technology,Yancheng 224051, Jiangsu, China
  • Received:2019-07-18 Online:2020-04-25 Published:2020-07-03

摘要: 水资源优化配置成为长江经济带农业农村绿色发展的核心议题,厘清农业用水量变化的内在驱动因素及影响效应是关键。基于2002—2017年长江经济带11个省(市)的面板数据,利用对数平均迪氏指数法(LMDI)将农业用水影响因素分为技术水平、产业结构、生产水平和人口规模,进而分析不同因素对农业用水变化的效应。结果表明,从总体来看,产出效应和人口效应促进农业用水增长,其中产出效应占主导地位;技术效应和结构效应对农业用水量起抑制作用。从区域来看,上海市、安徽省、江西省、湖北省、重庆市、四川省和贵州省总体对农业用水起促进作用,江苏省、浙江省、湖南省和云南省总体对农业用水起抑制作用。

关键词: 长江经济带, 对数平均迪氏指数法(LMDI), 农业用水, 驱动因素, 驱动效应

Abstract: Optimal allocation of water resources has become the core issue of green agricultural development in the Yangtze River Economic Belt. It is the key to clarify the internal driving factors and effects of agricultural water change. Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2002 to 2017, the influencing factors of agricultural water was divided into technical level, industrial structure, production level and population size by using the logarithmic mean divisia index method. Furthermore, the effects of different factors on agricultural water were analyzed. The results showed that, as a whole, the output effect and population effect promoted the growth of agricultural water, in which the output effect was dominant, and the technology effect and the structure effect restrained the agricultural water. From a regional perspective, Shanghai city, Anhui province, Jiangxi province, Hubei province, Chongqing city, Sichuan province and Guizhou province played an overall role in promoting agricultural water. Jiangsu province, Zhejiang province, Hunan province and Yunnan province had a restraining effect on agricultural water.

Key words: Yangtze River Economic Belt, Logarithmic mean divisia index, farm water use, driving factors, driving effect

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