首页> 外文期刊>Sustainability >Measurement of the Spatial Complexity and Its Influencing Factors of Agricultural Green Development in China
【24h】

Measurement of the Spatial Complexity and Its Influencing Factors of Agricultural Green Development in China

机译:中国农业绿色发展的空间复杂性测量及其影响因素

获取原文
           

摘要

The article focuses on the spatial complexity of agricultural green development (AGD) in different regions. The article first constructs an evaluation index system for the level of AGD from four dimensions: Social development, economic benefits, resource input, and ecological environment. Then, the article uses an improved entropy weight method to evaluate the level of AGD with panel data of 31 provinces in China from 2007 to 2018. Finally, on the basis of Moran Index and the Spatial Durbin Model, the article analyzes the spatial heterogeneity of the factors that affect the green development of agriculture in China. The results show that: (1) From 2007 to 2018, the overall level of AGD shows a fluctuating upward trend in China, and there are differences among provinces. The level of AGD in the three major regions presents the characteristics of Eastern Central Western; (2) China’s provincial AGD level has an obvious positive autocorrelation in spatial distribution, showing significant spatial agglomeration characteristics in space; (3) the four factors of urbanization level, agricultural mechanization level, scientific and technological R&D investment, and arable area, have different effects on the level of AGD in three major regions. This study provides a reference for understanding the status of China’s agricultural green development level and policy recommendations on how to improve the level of agricultural green development. The results imply that some effective policy measures, such as prompting the integrated development of the three major industries and optimizing the industrial structure, should be taken to coordinate “green” with “development” from national and regional perspectives.
机译:本文侧重于不同地区农业绿色发展(AGD)的空间复杂性。本文首先构建了四个维度的评估指标体系:社会发展,经济效益,资源投入和生态环境。然后,本文使用了改进的熵权法,从2007年到2018年评估了中国31个省份面板数据的agd水平。最后,在莫兰指数和空间德宾模型的基础上,分析了空间异质性影响中国农业绿色发展的因素。结果表明:(1)从2007年到2018年,AGD的整体水平显示了中国波动的上升趋势,省份之间存在差异。三个主要地区的AGD水平呈现东部>中央>西部的特点; (2)中国的省级agd水平在空间分布中具有明显的阳性自相关,在空间中显示出显着的空间凝聚特征; (3)城市化水平,农业机械化水平,科技研发投资和耕地面积的四个因素对三大地区的AGD水平不同。本研究为了解中国农业绿色发展水平和政策建议关于如何提高农业绿色发展水平的参考。结果意味着一些有效的政策措施,例如促使三个主要产业的综合发展和优化产业结构,应采取来自国家和区域观点的“发展”协调“绿色”。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号