曾艳, 廖成浩, 周宝亮, 郝柯锦. 高质量发展目标下脱贫县农业产业化与农地利用生态效率耦合协调分析: 以江西省为例[J]. 生态与农村环境学报, 2024, 40(5): 645-656. DOI: 10.19741/j.issn.1673-4831.2023.0946
    引用本文: 曾艳, 廖成浩, 周宝亮, 郝柯锦. 高质量发展目标下脱贫县农业产业化与农地利用生态效率耦合协调分析: 以江西省为例[J]. 生态与农村环境学报, 2024, 40(5): 645-656. DOI: 10.19741/j.issn.1673-4831.2023.0946
    ZENG Yan, LIAO Cheng-hao, ZHOU Bao-liang, HAO Ke-jin. Analyses of the Coupling Coordination between Agricultural Industrialization and Ecological Efficiency of Agricultural Land Use in Poverty-alleviated Counties under the Goal of High-quality Development: A Case Study of Jiangxi Province[J]. Journal of Ecology and Rural Environment, 2024, 40(5): 645-656. DOI: 10.19741/j.issn.1673-4831.2023.0946
    Citation: ZENG Yan, LIAO Cheng-hao, ZHOU Bao-liang, HAO Ke-jin. Analyses of the Coupling Coordination between Agricultural Industrialization and Ecological Efficiency of Agricultural Land Use in Poverty-alleviated Counties under the Goal of High-quality Development: A Case Study of Jiangxi Province[J]. Journal of Ecology and Rural Environment, 2024, 40(5): 645-656. DOI: 10.19741/j.issn.1673-4831.2023.0946

    高质量发展目标下脱贫县农业产业化与农地利用生态效率耦合协调分析: 以江西省为例

    Analyses of the Coupling Coordination between Agricultural Industrialization and Ecological Efficiency of Agricultural Land Use in Poverty-alleviated Counties under the Goal of High-quality Development: A Case Study of Jiangxi Province

    • 摘要: 探究脱贫县农业产业化与农地利用生态效率耦合协调关系, 对促进农业高质量发展具有重要意义。基于新发展理念, 以江西省25个脱贫县为研究对象, 构建农业产业化与农地利用生态效率耦合评价体系, 借助耦合协调模型和泰尔指数模型测度两者的耦合协调水平及其区域差异。结果表明: (1)2011-2020年, 江西省脱贫县农地利用生态效率总体水平较高, 年均值为0.738, 赣南地区高于赣中和赣北地区; (2)2011-2020年, 江西省脱贫县农业产业化发展指数总体水平较低, 年均值为0.414, 赣北地区最高, 其次为赣中, 赣南最低; (3)2011-2020年, 脱贫县农业产业化与农地利用生态效率耦合协调指数由期初的0.321升至期末的0.342, 总体处于中度失调和轻度失调阶段; (4)脱贫县地区内差异对泰尔指数总体贡献最大, 县域农业发展协调性较弱。进一步分析可以发现, 市场与政府的作用差异是导致农业产业化水平与农地利用生态效率存在差异的主要原因, 综合运用行政和市场手段推动农业产业化发展是提高两者耦合协调水平的关键。

       

      Abstract: Exploring the coupling and coordinated relationship between agricultural industrialization and ecological efficiency of farmland use in poverty-alleviated counties holds significant importance for promoting high-quality agricultural development. Based on the new development concept, the coupled evaluation system of agricultural industrialization and agricultural land utilization eco-efficiency was constructed in 25 poverty-alleviated counties of Jiangxi Province. Leveraging coupling coordination models and Theil index models, this study measures the level of coupling coordination and regional differences between these two factors. The research findings indicate that: (1) during the period of 2011 to 2020, the overall ecological efficiency of farmland use in poverty-alleviated counties in Jiangxi Province was relatively high, with an annual average of 0.738. Specifically, the ecological efficiency was higher in the southern regions of Jiangxi than that in central and northern regions. (2) From 2011 to 2020, the overall level of agricultural industrialization development index in poverty-alleviated counties of Jiangxi Province was relatively low, with an annual average of 0.414. The northern region of Jiangxi Province had the highest index, followed by the central and southern regions. (3) From 2011 to 2020, the coupling coordination index of agricultural industrialization and ecological efficiency of agricultural land use in poverty-alleviated counties increased from 0.321 at the beginning of the period to 0.342 at the end of the period, which was in the stage of moderate and mild imbalance. (4) The regional disparities within poverty-alleviated counties contribute significantly to the overall Theil index, while the regional coordination in county-level agricultural development was weak. Further analysis reveals that the disparity in the roles played by the market and government is the primary reason behind the differences in levels of agricultural industrialization and ecological efficiency of farmland use. Therefore, the key to improve the coupling and coordination between these two factors lies in the comprehensive application of administrative and market mechanisms to drive development of agricultural industrialization.

       

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