长江流域资源与环境 >> 2024, Vol. 33 >> Issue (7): 1504-1514.doi: 10.11870/cjlyzyyhj202407011

• 自然资源 • 上一篇    下一篇

秦巴山区农业转型与生态环境耦合协调时空特征及驱动因素

梁亚文,李绍亭,雷坤洪,淮建军*   

  1. (西北农林科技大学经济管理学院,陕西 杨凌 712100)
  • 出版日期:2024-07-20 发布日期:2024-07-18

Spatio-temporal Characteristics and Driving Factors of the Coupling Coordination between Agricultural Transition and Eco-environment in Qinling-Daba Mountain Area

LIANG Ya-wen, LI Shao-ting, LEI Kun-hong, HUAI Jian-jun   

  1. (College of Economics and Management, Northwest A&F University, Yangling 712100, China) 
  • Online:2024-07-20 Published:2024-07-18

摘要: 探究农业转型发展与农业生态环境的互动关系,可以推动我国乡村振兴战略实施和美丽中国建设。以秦巴山区为例,基于构建的综合指标体系,采用熵权法,评价秦巴山区农业转型发展水平和农业生态环境水平;运用耦合协调模型探索二者互动关系的演变趋势及特征,应用地理探测器分析影响秦巴山区农业转型发展与农业生态环境两个系统耦合协调度的主要影响因素。结果表明:(1)2003~2020年,秦巴山区的农业转型发展水平、农业生态环境水平总体呈上升趋势;(2)秦巴山区各市农业转型发展与农业生态环境的耦合协调度在时间上由低向高转变,总体分布格局呈现出空间异质性,耦合协调类型从农业生态环境滞后逐渐转变为农业转型发展滞后;(3)两系统耦合协调度的主要影响因子包括乡村从业人员文化水平、农业产值占地区生产总值的比例、水土流失控制面积、作物播种面积与耕地面积之比,因子间协同性较强。研究表明,秦巴山区农业转型应以生态发展为方向,各地区要实施差异化发展战略。

Abstract: Exploring the interactive relationship between agricultural transformation development and agricultural eco-environment can promote the implementation of rural revitalization strategy and the construction of beautiful China. Taking the Qinling-Daba Mountain Area as an example, this study used the entropy weight method to evaluate the level of agricultural transformation development and agricultural eco-environment, based on the constructed comprehensive indicator system. A coupled coordination degree model was used to explore the evolution trend and characteristics of the interactive relationship. The geographic detectors were applied to analyze the main influencing factors on the coupling and coordination. The results were as follows: (1) From 2003 to 2020, the agricultural transition development level and agricultural eco-environment level showed an upward trend. (2) The coupling and coordination degree shifted from low to high in time, and the overall distribution pattern showed a spatial heterogeneity. The coupling and coordination type gradually shifted from agricultural eco-environment lagged to agricultural transformation development lagged. (3) The main influencing factors of the coupling coordination degree of the two systems included the cultural level of rural employees, the proportion of agricultural output value in regional GDP, the area of soil erosion control, and the ratio of crop sown area to farmland area. The synergy between factors was strong. Our results indicated the agricultural transformation in the Qinling-Daba Mountain Area should be oriented towards the ecological development. Differentiated development strategies should be implemented for different regions.

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