湖北农业科学 ›› 2022, Vol. 61 ›› Issue (21): 217-222.doi: 10.14088/j.cnki.issn0439-8114.2022.21.040

• 经济·管理 • 上一篇    下一篇

湖南省农业面源污染的地区差异和影响因素研究

陈素琼1, 刘忠敏2   

  1. 1.湖南财政经济学院经济学院,长沙 410205;
    2.吉林师范大学经济管理与法学学院,吉林 四平 136000
  • 收稿日期:2022-06-20 出版日期:2022-11-10 发布日期:2022-12-10
  • 作者简介:陈素琼(1981-),女,湖南岳阳人,副教授,博士,主要从事农林经济管理、流动人口方向研究,(电话)13217413652(电子信箱)aprilsu422@163.com。
  • 基金资助:
    湖南省教育厅一般项目(18C0967); 湖南省自然科学基金面上项目(2020JJ4153)

Study on regional differences and influencing factors of agricultural non-point source pollution in Hunan Province

CHEN Su-qiong1, LIU Zhong-min2   

  1. 1. School of Economics,Hunan University of Finance and Economics,Changsha 410205,China;
    2. School of Economics Management and Law,Jilin Normal University,Siping 136000,Jilin,China
  • Received:2022-06-20 Online:2022-11-10 Published:2022-12-10

摘要: 以湖南省14个市州农业面源污染为研究对象,采用基于单元分析的非点源污染调查评估方法对2005—2019年湖南省农业面源污染进行了测算,并对其变化趋势、空间差异和影响因素进行了研究。结果表明,2005—2019年,湖南省农业面源COD、TN和TP的污染排放总量和排放强度整体呈下降趋势;14个市州农业面源COD、TN、TP污染排放总量的空间差异整体呈上升趋势,COD和TP污染排放强度的空间差异呈先升后降再升趋势,TN则表现为先升后降趋势;湖南省农业面源COD、TN和TP污染排放强度与农业经济增长呈倒“U”型库兹涅茨曲线关系。此外城市化水平提升、单位面积化肥使用量和单位面积农药使用量的减少、农林业占比提升均能显著减轻农业面源污染。

关键词: 农业面源污染, 环境库兹涅茨曲线, 空间差异, 湖南省

Abstract: Taking the agricultural non-point source pollution of 14 cities and prefectures in Hunan Province as the research object,the non-point source pollution survey and assessment method based on unit analysis was used to calculate the agricultural non-point source pollution of Hunan Province from 2005 to 2019, and its change trend, spatial difference and influencing factors were studied. The results showed that from 2005 to 2019, the total amount and emission intensity of COD, TN and TP pollution from agricultural non-point sources in Hunan Province showed a downward trend as a whole; the spatial differences of the total amount of COD, TN and TP pollution emissions from agricultural non-point sources in 14 cities and prefectures showed an upward trend. The spatial differences of COD and TP pollution emission intensity showed a trend of first increasing, then decreasing, and then increasing, and TN showed first increasing and then decreasing. There was an inverted “U-shaped” Kuznets Curve relationship between COD, TN and TP pollution emission intensity from agricultural non-point sources and agricultural economic growth in Hunan Province. In addition, the improvement of urbanization level, the reduction of the use of chemical fertilizers and pesticides per unit area, and the increase in the proportion of agriculture and forestry could significantly reduce agricultural non-point source pollution.

Key words: agricultural non-point source pollution, Environmental Kuznets Curve, spatial differences, Hunan Province

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