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农业科技资源配置能力区域差异分析及驱动因子分解
引用本文:陈祺琪,张俊飚,程琳琳,李兆亮.农业科技资源配置能力区域差异分析及驱动因子分解[J].科研管理,2016,37(3):110-123.
作者姓名:陈祺琪  张俊飚  程琳琳  李兆亮
作者单位: 华中农业大学 经济管理学院,湖北农村发展研究中心,湖北 武汉430070
基金项目:国家自然科学基金重点项目,国家自然科学基金,国家自科基金青年项目,华中农业大学创新团队培育项目
摘    要:农业科技资源配置公平性对提高农业科技资源配置能力至关重要。文章利用Dagum分解的基尼系数分析中国农业科技资源配置能力的区域差异,并对其驱动因子进行分解。研究发现,中国农业科技资源配置能力差异明显,仅14个省市区农业科技资源配置能力不断提升;东北与西北2区农业科技资源配置能力总体呈下降趋势,华北、华东、中南、及西南4区则呈上升趋势。中国农业科技资源配置能力总体差距呈波动上升的趋势,且具有"波动上升"、"波动下降"及"稳定上升"的阶段特征。区域内(间)农业科技资源配置能力差异明显,且中国农业科技资源配置能力的差距主要来自于区域间的差异。

关 键 词:农业科技  资源配置能力  区域差异  公平性  分解的基尼系数

Regional difference analysis and its driving factors decomposition on the allocation ability of agricultural science and technology
Chen Qiqi,Zhang Junbiao,Cheng Linlin,Li Zhaoliang.Regional difference analysis and its driving factors decomposition on the allocation ability of agricultural science and technology[J].Science Research Management,2016,37(3):110-123.
Authors:Chen Qiqi  Zhang Junbiao  Cheng Linlin  Li Zhaoliang
Institution:College of Economics and Management, Huazhong Agricultural University, Hubei Rural Development Research Center, Wuhan 430070, Hubei, China
Abstract:The fairness of agricultural science and technology resources allocation is significant for improvement of agricultural science and technology resources allocation ability. This paper analyzed the regional difference on the allocation capacity of agricultural science and technology resources in China, and then we decomposed its influence factors with Dagum Gini index. The results showed that, firstly, there was significant difference in agricultural science and technology resource allocation ability. 17 provinces had a decline trend in agricultural science and technology resource allocation ability. In the 6 ecological districts, the allocation ability of agricultural science and technology resources also were on the decline trend in northeast and northwest areas. However, other 4 districts had an increase tendency. Secondly, on the whole, there was a decreasing tendency in the fairness of agricultural science and technology resources allocation. But it showed remarkable different trend in different time stages. Thirdly, no matter inside one area or between districts, agricultural science and technology resources allocation fairness had significant difference. And the difference between districts was the main source leading to the difference in national agricultural science and technology resources allocation ability. 
Keywords:agricultural science and technology  resources allocation ability  regional difference  allocation fairness  Dagum decomposition Gini index
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