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作 者:张灵芝 何强 漆雁斌 邓鑫 Zhang Lingzhi;He Qiang;Qi Yanbin;Deng Xin(College of Economics,Sichuan Agricultural University,Chengdu 611130,Sichuan,China)
出 处:《中国农业资源与区划》2024年第7期54-65,共12页Chinese Journal of Agricultural Resources and Regional Planning
基 金:国家社会科学基金青年项目“长江上游地区农业绿色发展绩效跟踪评估及提升路径研究”(22CJY046);重庆市社会科学规划社会组织项目一般项目“沱江流域农业绿色发展绩效的跟踪评估及提升路径研究”(2022SZ05);成都市哲学社会科学研究基地特大城市精细化治理研究基地“成都市农业绿色发展绩效评估及精细化提升路径研究”(TD2023Z01);四川省社会科学重点研究基地四川县域经济发展研究中心一般项目“数字经济赋能四川县域乡村生态振兴研究”(xy2023012)。
摘 要:[目的]基于熵值法从农业资源、生态环境、社会经济3个维度测算了2010—2020年沱江流域39个县(市、区)的县域农业绿色发展水平。[方法]文章利用Dagum基尼系数及其分解讨论了沱江流域县域农业绿色发展水平的区域差距及差异来源,并采用核密度估计考察了沱江流域县域农业绿色发展水平的动态研究特征。[结果](1) 2010—2020年沱江流域整体农业绿色发展水平得到了提高。在地区层面的发展速度表现为“下游>中游>上游”的格局,在各系统方面农业绿色发展水平表现为“农业资源系统>社会经济系统>生态环境系统”的发展格局;(2)农业绿色发展的总体基尼系数呈现下降的趋势,但整体基尼系数仍相对较高,表明在此期间沱江流域各地区之间的农业绿色发展存在不均衡的现象;(3)核密度估计表明,沱江流域整体和上中下游地区整体的农业绿色发展水平提高,研究期内农业绿色发展水平呈现明显的空间差异和分散特征。[结论]研究期间内沱江流域农业绿色发展水平整体提高且整体差异呈现下降趋势。Utilizing the entropy value method,we assessed the green development level of agriculture in 39 counties,cities,and districts within the Tuojiang Basin from 2010 to 2020 from three dimensions:agricultural resources,ecological environment and social economy.We explored regional disparities and the sources of differences in the green development level of agriculture in the Tuojiang Basin's counties by using the Dagum Gini coefficient and its decomposition.Furthermore,we investigated the dynamic research characteristics of agricultural green development in these counties by using kernel density estimation.The results were showed as follows.(1) From 2010 to 2020, there was an overall improvement in the level of agricultural green development in theTuojiang Basin. Regionally, the development speed followed a downstream > middle reach > upper reach pattern.When examining each system separately, the level of agricultural green development exhibited the pattern ofagricultural resource system > socio-economic system > ecological environment system.(2)The overall Ginicoefficient for agricultural green development exhibited a declining trend, although it remained relatively high. Thissuggested that an uneven distribution of agricultural green development persisted among the various regions of theTuojiang Basin during this period. (3) The kernel density estimation indicated an overall improvement in the level ofagricultural green development in the Tuojiang Basin, as well as in the upper, middle, and lower reaches of thebasin. However, the level of agricultural green development during the study period displayed significant spatialdifferences and dispersed characteristics. In summary, the level of agricultural green development in the TuojiangBasin improved during the study period, and overall disparities decreased.
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