YANG Zhixin, ZHAO Yaqiao. Study on Comprehensive Evaluation and Influencing Factors of Agricultural Green Development Level in Dianchi Lake Basin[J]. Journal of Yunnan Agricultural University (Social Science), 2024, 18(2): 49-57. DOI: 10.12371/j.ynau(s).202305161
Citation: YANG Zhixin, ZHAO Yaqiao. Study on Comprehensive Evaluation and Influencing Factors of Agricultural Green Development Level in Dianchi Lake Basin[J]. Journal of Yunnan Agricultural University (Social Science), 2024, 18(2): 49-57. DOI: 10.12371/j.ynau(s).202305161

Study on Comprehensive Evaluation and Influencing Factors of Agricultural Green Development Level in Dianchi Lake Basin

  • It is of great practical significance to promote the green and high-quality development of agriculture in Dianchi Lake Basin to promote the management and ecological environment protection of Dianchi Lake.This paper took seven counties in the Dianchi Lake Basin as the research object, constructed 15 evaluation index systems suitable for the agricultural green development of the Dianchi Lake Basin from three levels of resource conservation, environmental friendliness and efficient development, and combined with the regional characteristics of agricultural green development in Dianchi Lake Basin, and used the entropy method to comprehensively evaluate the agricultural green development level of the Dianchi Lake Basin. Grey relational analysis was used to rank the influencing factors of agricultural green development in Dianchi Lake Basin.The results showed that, (1) From 2015 to 2020, the level of agricultural green development in Dianchi Basin had been improved, but the development was not stable and unbalanced; (2) The level of environmentally friendly development was relatively high, but resource conservation and efficient development were still the weaknesses, and efficient development had the slowest growth rate; (3) The biggest factors affecting the level of agricultural green development in Dianchi Lake Basin were environmental friendliness, efficient development had moderate impact, and resource conservation had minimal impact; (4) Among the specific indicators, the most influential factors were the contribution rate of agricultural service industry, rural per capita disposable income, pesticide application intensity, lake nutrient status index and forest coverage rate.
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