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欠发达地区农业科技创新水平测度及障碍因子研究

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基于2011-2021年全国15个欠发达省份的面板数据,根据欠发达地区农业技术创新发展的特点,构建了农业科技创新指标体系,并运用熵权—TOPSIS模型分析了欠发达地区农业科技创新水平的时空格局,采用障碍度模型分析了欠发达地区农业科技创新水平的主要障碍因素.结果表明:(1)欠发达地区的农业科技创新发展水平整体呈缓慢上升的趋势,与较发达地区相比,其农业科技创新发展的整体水平相对滞后;(2)现阶段欠发达地区农业科技创新发展的主要制约因子为农业R&D人员全时当量和农业R&D内部经费支出;各地区的障碍因子整体存在空间差异,且有较高的稳定性.
Measurement of Agricultural Science and Technology Innovation Level and Analysis of Obstacle Factors in Underdeveloped Areas
Based on the panel data of 15 underdeveloped provinces from 2011 to 2021,we constructed an agricultural science and technology innovation index system according to the characteristics of agricultural technology innovation and development underdeveloped regions,and used entropy-TOPSIS model to analyze the spatiotemporal pattern of agricultural science and technology innovation in underdeveloped regions.The obstacle degree model was used to analyze the main obstacle factors of the level of agricultural science and technology innovation in underdeveloped areas.The results show that:(1)The overall level of agricultural science and technology innovation and development in underdeveloped areas show a slow rising trend,but compared with more developed areas,the overall level of agricultural science and technology innovation and development is relatively lagging behind.(2)At present,the main restricting factors for the development of agricultural science and technology innovation in underdeveloped regions are the full-time equivalent of agricultural R&D personnel and the internal expenditure of agricultural R&D.There are spatial differences in obstacle factors among all regions,and there is high stability.

Underdeveloped areasAgricultural science and technology innovationMeasurement of development levelTOPSIS modelObstacle degree model

李敏、王玲玲

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青岛农业大学 经济管理学院,山东 青岛 266109

欠发达地区 农业科技创新 发展水平测度 TOPSIS模型 障碍度模型

山东省重点研发计划(软科学)项目

2023RKY02003

2024

江西农业学报
江西省农业科学院 江西省农学会

江西农业学报

CSTPCD
影响因子:0.632
ISSN:1001-8581
年,卷(期):2024.36(5)