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基于三阶段 DEA 模型的绿色农业科技创新资源配置效率研究——以安徽省为例。

Research on the Efficiency of Green Agricultural Science and Technology Innovation Resource Allocation Based on a Three-Stage DEA Model-A Case Study of Anhui Province, China.

机构信息

Institute of Agricultural Economics and Information, Anhui Academy of Agricultural Sciences, Hefei 230031, China.

School of Economics and Management, Huzhou University, Huzhou 313000, China.

出版信息

Int J Environ Res Public Health. 2022 Oct 21;19(20):13683. doi: 10.3390/ijerph192013683.

DOI:10.3390/ijerph192013683
PMID:36294259
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9603484/
Abstract

In order to achieve sustainable development of agriculture, people have gradually begun to attach importance to the development of low-carbon agriculture and to regard green agricultural technology innovation and promotion as increasingly more important. Taking the Anhui Province of China as an example, this study analyzed the impact of green agricultural science and technology innovation resource allocation on rural revitalization by constructing an econometric model. We found that the overall efficiency of the overall allocation of agricultural science and technology innovation resources in Anhui Province increased in the sample period, but the scale efficiency level was relatively low. The key path to improving the overall efficiency of allocation was to improve the scale efficiency level. The allocation of agricultural science and technology innovation resources in 16 cities and prefectures performed well in terms of pure technical efficiency, but there were significant differences in scale efficiency, which further affected the overall allocation efficiency of different regions. Among them, the allocation efficiencies of agricultural science and technology innovation resources in Hefei and Fuyang were at the leading level in Anhui Province. Similar to the overall situation of the province, the improvement path of areas with low comprehensive efficiency lay in the improvement of scale efficiency. In view of this, from the policy level, we need to optimize the relationship between the government and the market, speed up the construction of platforms and carriers, attach importance to the construction of the agricultural science and technology talent training system, and improve the open sharing mechanism.

摘要

为实现农业的可持续发展,人们逐渐开始重视低碳农业的发展,并将绿色农业技术创新和推广视为越发重要的内容。以中国安徽省为例,本研究通过构建计量经济学模型,分析了绿色农业科技创新资源配置对乡村振兴的影响。结果发现,安徽省农业科技创新资源整体配置的综合效率在样本期内呈上升趋势,但规模效率水平相对较低。提高整体配置效率的关键路径是提高规模效率水平。16 个城市和地区的农业科技创新资源配置在纯技术效率方面表现良好,但在规模效率方面存在显著差异,这进一步影响了不同地区的整体配置效率。其中,合肥市和阜阳市的农业科技创新资源配置效率在安徽省处于领先地位。与全省整体情况类似,综合效率较低地区的改进路径在于提高规模效率。针对这一情况,从政策层面来看,需要优化政府和市场的关系,加快平台和载体建设,重视农业科技人才培养体系建设,并完善开放共享机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a205/9603484/3c59eba9f9d2/ijerph-19-13683-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a205/9603484/3c59eba9f9d2/ijerph-19-13683-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a205/9603484/3c59eba9f9d2/ijerph-19-13683-g001.jpg

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本文引用的文献

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The Impact of Dependency Burden on Urban Household Health Expenditure and Its Regional Heterogeneity in China: Based on Quantile Regression Method.《中国城市家庭医疗支出的负担依赖效应及其区域差异研究——基于分位数回归方法》
Front Public Health. 2022 May 4;10:876088. doi: 10.3389/fpubh.2022.876088. eCollection 2022.
采用智能农业技术行为的影响机制研究。
Sci Rep. 2023 May 26;13(1):8554. doi: 10.1038/s41598-023-35091-x.
4
Does Agricultural Credit Input Promote Agricultural Green Total Factor Productivity? Evidence from Spatial Panel Data of 30 Provinces in China.农业信贷投入是否促进了农业绿色全要素生产率?来自中国 30 个省份空间面板数据的证据。
Int J Environ Res Public Health. 2022 Dec 28;20(1):529. doi: 10.3390/ijerph20010529.