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引用本文:李勇辉,白利鹏.云南省农业科技创新资源配置效率及影响因素研究[J].中国农业资源与区划,2019,40(6):63~69
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云南省农业科技创新资源配置效率及影响因素研究
李勇辉1, 2※,白利鹏1
1.昆明理工大学管理与经济学院,云南昆明650093; 2.罗定职业技术学院经济管理系,广东罗定527200
摘要:
[目的]为及时了解云南省农业科技创新的最新动态,充分合理地开发云南省农业科技资源,文章对2002—2016年云南省的农业科技创新资源配置进行研究。[方法]首先分析各个单项指标15年内的变化趋势,分析其对资源配置的影响和作用。再运用DEA模型分析法,将2002—2016年的每个年份作为一个决策单元进行处理,对云南省农业科技创新资源配置效率进行分析。[结果]2002—2016年云南省农业科技创新资源配置的综合效率为0984,并且呈现出不稳定的波动,在2004和2009—2012年出现了配置效率降低的情况。总体来看,资源配置的综合效率大体上是接近于1的水平。处于DEA有效的年份为2002—2003年, 2005—2008及2013—2016,属于规模报酬不变的阶段; 2004年属于弱DEA有效阶段,规模报酬则处于上升阶段; 处于非DEA有效的有2004年、2009—2012年。[结论]云南省农业科技创新资源的配置效率整体水平处于较高的状态,综合效率值总体上接近于1。有个别年份出现了较小范围的波动,可能与总播种面积的变化有关。综合来看,云南省农业科技创新资源在技术投入、人力资源和农业资金投入逐年的增加,使资源配置效率能够保持在较高的水平,并在出现下降后迅速恢复。
关键词:  云南省农业科技创新资源配置效率影响因素
DOI:
分类号:F3233; F3032
基金项目:昆明理工大学管理与经济学院硕博生科研项目预研计划“创新驱动省域经济供给结构性改革—以云南省为例”(20161109008)
STUDY ON RESOURCE ALLOCATION EFFICIENCY AND INFLUENCING FACTORS OF AGRICULTURAL SCIENCE AND TECHNOLOGICAL INNOVATION IN YUNNAN PROVINCE
Li Yonghui1,2※, Bai Lipeng1
1. Kunming University of Science and Technology School of Management and Economics, Kunming, Yunnan 650093,China;2. Luoding Vocational and Technical College Department of Economic Management, Luoding, Guangdong 527200, China
Abstract:
In order to keep abreast of the latest trends of agricultural science and technology innovation in Yunnan province and fully and rationally develop agricultural science and technology resources in Yunnan province, this paper makes a study on the allocation of agricultural science and technology innovation resources in Yunnan province from 2002 to 2016. Firstly, the trend of each single index within 15 years was analyzed, and its influence and effect on resource allocation were analyzed. Then DEA model analysis was used to treat each year from 2002 to 2016 as a decision unit to analyze the allocation efficiency of agricultural scientific and technological innovation resources. The results showed that the average comprehensive efficiency of agricultural scientific and technological innovation resources in Yunnan province from 2002 to 2016 was 0.984, and showed unstable fluctuations. The allocation efficiency decreased in 2004 and from 2009 to 2012. The overall efficiency of resource allocation was almost 1. The DEA effective years were 2002-2003, 2005-2008 and 2013-2016, which belonged to the stage of constant return on scale. The year 2004 belonged to the effective stage of weak DEA, while the return to scale was in the rising stage. The DEA ineffective years were 2004 and from 2009 to 2012. The overall allocation efficiency of agricultural scientific and technological innovation resources in Yunnan province is in a high state, and the overall comprehensive efficiency value is close to 1. A small range of fluctuations occurred in a few years, which may be related to the change of the total sown area. To sum up, Yunnan′s agricultural scientific and technological innovation resources have been increasing year by year in terms of technology input, human resources and agricultural capital input, so that the efficiency of resource allocation can be maintained at a high level and quickly recover after a decline.
Key words:  Yunnan province  agricultural science and technology  innovation resource  allocation efficiency  influencing factors
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