欠发达地区农业科技创新水平测度及障碍因子研究
Measurement of Agricultural Science and Technology Innovation Level and Analysis of Obstacle Factors in Underdeveloped Areas
李敏 1王玲玲1
作者信息
- 1. 青岛农业大学 经济管理学院,山东 青岛 266109
- 折叠
摘要
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.
Abstract
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.
关键词
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Key words
Underdeveloped areas/Agricultural science and technology innovation/Measurement of development level/TOPSIS model/Obstacle degree model引用本文复制引用
基金项目
山东省重点研发计划(软科学)项目(2023RKY02003)
出版年
2024
国家科技期刊平台
NSTL
万方数据