数字经济与全要素生产率测算及其空间关联检验  

Measurement on Digital Economy and Total Factor Productivity and Its Spatial Correlation Test

作　　者：胡歆韵 杨继瑞[1] 郭鹏飞 Hu Xinyun;Yang Jirui;Guo Pengfei(Research Center for Economy of Upper Reaches of the Yangtze River,Chongqing Technology and Business University,Chongqing 400067,China)

机构地区：[1]重庆工商大学长江上游经济研究中心,重庆400067

出　　处：《统计与决策》2022年第4期10-14,共5页Statistics & Decision

基　　金：国家社会科学基金青年项目(21CJL013);全国统计科学研究重点项目(2021LZ08);重庆工商大学农业现代化与产业创新发展研究团队项目(CJSYTD201710)。

摘　　要：文章采用熵值法和超越对数生产函数的随机前沿分析法,分别测算了2010—2019年中国30个省份的数字经济发展指数和全要素生产率,并进一步运用空间滞后模型探讨数字经济对全要素生产率的影响。结果显示:数字经济和全要素生产率都存在较强的空间正相关性,且存在东部沿海地区高聚类、西部地区低聚类的特点;同时,数字经济发展对全要素生产率增长存在显著的促进作用,效应分解结果表明,前者对后者有显著的正向直接效应和空间溢出效应。This paper uses entropy method and the stochastic frontier analysis method with transcendental logarithmic production function to calculate the index of digital economy development and total factor productivity(TFP) in 30 provinces of China from 2010 to 2019 respectively, and further analyzes the impact of digital economy on TFP by using spatial lag model. The results show that there is a strong positive spatial correlation between digital economy and TFP, with the characteristics of high cluster in eastern coastal area and low cluster in western area, and that meanwhile, the development of digital economy can significantly promote the growth of TFP. The result of effect decomposition shows that the impact of digital economy on TFP has significant positive direct effect and spatial spillover effect.

关 键 词：数字经济 全要素生产率 熵值法 随机前沿法 空间计量 

分 类 号：F49[经济管理—产业经济]