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我国农业数字化生产效率的区域差异及动态演变 被引量:1

Regional Difference and Dynamic Evolution of Chinese Agricultural Digitized Production Efficiency
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摘要 基于2011—2021年中国内地地区30个省市(不含西藏)的面板数据,将全国划分为东、中、西部和东北4个地区,采用DEA-BCC模型对不同地区的农业数字化生产的技术效率进行测算和比较;在此基础上结合莫兰指数进行空间相关性分析,并进一步结合农业数字化Malmquist生产率指数,探索农业数字化生产效率的演变趋势。结果表明:我国整体农业数字化生产效率水平较高,但只有少数省市处于“最优状态”,地区之间差异性明显;空间分布上表现为“集聚”与“分异”并存特征;农业数字化全要素生产率在技术进步指数的影响下处于增长趋势,其中东部地区技术进步指数最高。 Based on the panel data of 30 provinces and cities in China's mainland(excluding Tibet)from 2011 to 2021,this study divided the country into four regions,East,Central,West and Northeast.The DEA-BCC model was used to measure and compare the technical efficiency of agricultural digital production in different regions.On this basis,the spatial correlation analysis was carried out with the Moran index.Furthermore,combined with Malmquist productivity index,the evolution trend of agricultural digital production efficiency was explored.China′s overall agricultural digital production efficiency level was high,but only a few provinces and cities in the‘optimal state',the difference between regions was obvious.The spatial distribution shows the co-existence of‘agglomeration'and‘differentiation'.Under the influence of the technological progress index,the total factor productivity of agricultural digitalization was increasing,and the eastern region had the highest technological progress index.
作者 胡艳英 靳梦 HU Yanying;JIN Meng(School of Economics and Management,Northeast Forestry University,Harbin,Heilongjiang 150040)
出处 《北方园艺》 CAS 北大核心 2024年第5期139-146,共8页 Northern Horticulture
基金 黑龙江省自然科学基金资助项目(19ZK018)。
关键词 农业数字化生产效率 区域差异 莫兰指数 MALMQUIST指数 收敛性 agricultural digital production efficiency regional differences moran index Malmquist index convergence
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