湖北农业科学 ›› 2021, Vol. 60 ›› Issue (2): 161-166.doi: 10.14088/j.cnki.issn0439-8114.2021.02.034

• 经济·管理 • 上一篇    下一篇

中国粮食主产区农业生态环境评价研究

易杏花, 何苗   

  1. 中国地质大学(武汉)经济管理学院,武汉 430074
  • 收稿日期:2020-05-13 出版日期:2021-01-25 发布日期:2021-02-07
  • 通讯作者: 何 苗(1996-),湖北黄冈人,在读硕士研究生,研究方向为资源环境经济学,(电子信箱)1925456403@qq.com。
  • 作者简介:易杏花(1973-),湖北通城人,副教授,博士,主要从事资源环境经济学研究,(电话)18971116407(电子信箱)yxh73@cug.edu.cn。

Evaluation of agricultural environment in China’s major grain producing areas

YI Xing-hua, HE Miao   

  1. School of Economics and Management, China University of Geosciences(Wuhan), Wuhan 430074, China
  • Received:2020-05-13 Online:2021-01-25 Published:2021-02-07

摘要: 在PSR模型框架下,构建农业生态环境综合评价指标体系,结合熵权法确定指标权重,利用密切值法对各粮食主产区农业生态环境进行评价。结果显示,中国粮食主产区省份在秸秆综合利用率和农机推广培训投入这2项指标上差异最大;在PSR框架下,各省响应系统的差距大于状态系统和压力系统的差距;2011—2016年,东北平原农业生态环境排名最为靠前,华北平原居于中位,长江中下游平原排名靠后。

关键词: PSR模型, 熵权法, 密切值法, 农业生态环境

Abstract: Based on PSR model, this study build a comprehensive evaluation indicator system of agricultural environment, during which the entropy method and the optimal osculating value method were used to define the weight of each indicator and to evaluation the agricultural environmental among these areas. The results showed that the major grain producing areas in China have the biggest differences in straw utilization ratio and agricultural machinery training input; under the framework of PSR, the gap in response system was greater than that in state system and pressure system. From 2011 to 2016, the Northeast Plain ranked the highest in terms of agricultural environment, the North China Plain ranked the middle, and the Yangtze River Plain ranked the lowest.

Key words: PSR model, entropy method, optimal osculating value method, agricultural environment

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