普雁翔, 殷真真, 路遥, 等. 区域多样性视角下云南农业绿色发展水平测度及路径分析[J]. 云南农业大学学报(社会科学), 2023, 17(4): 37−44. doi: 10.12371/j.ynau(s).202303042
引用本文: 普雁翔, 殷真真, 路遥, 等. 区域多样性视角下云南农业绿色发展水平测度及路径分析[J]. 云南农业大学学报(社会科学), 2023, 17(4): 37−44. doi: 10.12371/j.ynau(s).202303042
PU Yanxiang, YIN Zhenzhen, LU Yao, YAN Mingjie. Analysis of the Green Development Level and Path of Yunnan Agriculture under the Perspective of Regional Diversity[J]. Journal of Yunnan Agricultural University (Social Science), 2023, 17(4): 37-44. DOI: 10.12371/j.ynau(s).202303042
Citation: PU Yanxiang, YIN Zhenzhen, LU Yao, YAN Mingjie. Analysis of the Green Development Level and Path of Yunnan Agriculture under the Perspective of Regional Diversity[J]. Journal of Yunnan Agricultural University (Social Science), 2023, 17(4): 37-44. DOI: 10.12371/j.ynau(s).202303042

区域多样性视角下云南农业绿色发展水平测度及路径分析

Analysis of the Green Development Level and Path of Yunnan Agriculture under the Perspective of Regional Diversity

  • 摘要: 基于云南区域多样性特征,首先运用熵值法按州(市)对云南农业绿色发展水平进行测度,然后在此基础上运用ArcGIS 10.8划分出5个不同等级的农业绿色发展水平,最后深入分析不同等级区域农业绿色发展路径差异。研究发现,虽然各州(市)农业绿色发展水平不断提高,但问题各有不同:(1)影响绿色发展水平的因素,有的是化肥农药使用强度过高,有的是资源利用效率太低,这与投入强度过高的一般结论不同。(2)农业绿色发展关联度最高的是环境效益,其次为资源效益,最后为产出效益,说明目前农业绿色发展的重点还是在农业减量化。(3)农业绿色发展水平与各要素关联度依次为单位播种面积产值、农业用电指数、农村居民可支配收入、“三品一标”产品数、耕地灌溉强度和农膜使用强度。

     

    Abstract: Based on the regional diversity characteristics of Yunnan, the entropy method was used to measure the agricultural green development level of Yunnan according to the states and cities, then ArcGIS 10.8 was used to divide five different levels of agricultural green development levels. Finally, the differences of agricultural green development paths in different levels of regions were deeply analyzed. The study found that, although the level of agricultural green development in different states and cities was constantly improving, the problems were different: (1) Some factors affecting the level of green development were the excessively high intensity of chemical fertilizers and pesticides, and the low efficiency of resource utilization, which was different from the general conclusion that the input intensity was too high. (2) The highest correlation of agricultural green development was environmental benefit, the second was resource benefit, and the third was output benefit, which showed that the focus of current agricultural green development was still in agricultural reduction of chemical fertilizer, pesticide and so on. (3) The correlation between agricultural green development level and each element was the output value per unit sown area, the agricultural electricity consumption index, the disposable income of rural residents, the number of three products and one standard product, the irrigation intensity of cultivated land and the intensity of agricultural film use.

     

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