基于数据要素驱动的结构转型与经济增长研究  

Research on Structural Transformation and Economic Growth Driven By Data Elements

作　　者：刘文革[1] 贾卫萍 Liu Wenge;Jia Weiping(School of International Economics and Politics,Liaoning University,Shenyang 110136,China;School of Economics,Northeastern University at Qinhuangdao,Qinhuangdao 066004,China)

机构地区：[1]辽宁大学国际经济政治学院,沈阳110136 [2]东北大学秦皇岛分校经济学院,秦皇岛066004

出　　处：《工业技术经济》2022年第6期10-17,共8页Journal of Industrial Technological Economics

基　　金：马克思主义理论研究和建设工程重大项目“中国经济发展模式及其特点研究”(项目编号:2021MZDO15);辽宁省兴辽英才计划项目“新国际政治经济学建设”(项目编号:XLYC2002042)。

摘　　要：数据要素能否有效促进经济增长,对实现经济高质量发展至关重要。本文将数据要素引入新结构增长模型,研究数据要素驱动经济增长的直接效应和间接效应。直接效应是由数据要素投入直接带来的经济增长;间接效应是通过数据要素驱动生产结构升级和禀赋结构变迁间接促进的经济增长。理论研究发现,随着数据要素投入的不断增加,人均数据与人均资本之间的差距逐渐缩小,尤其是当人均数据超过人均资本时,数据/劳动禀赋结构占主导地位,经济增长主要由数据要素驱动。因此,充分发掘数据要素的直接效应和间接效应,可以为我国经济结构优化,加速经济增长提供新的动力。Whether data elements can effectively promote economic growth is very important to achieve high-quality econo.mic development.This paper introduces data elements into the new structural growth model to study the direct and indirect effects of data elements’driving economic growth.The direct effect is the economic growth directly brought by the input of data elements.In.direct effect is that data factors indirectly promoted the economic growth,by upgrading of data production structure and change of endowment structure.Theoretical research found that with the increasing input of data elements,the gap between per capita data and per capita capital gradually becomes smaller,especially when per capita data exceeds per capita capital,data/labor endowment structure is dominant,and economic growth is mainly driven by data elements.Therefore,the direct and indirect effects of data ele.ments can provide new impetus for China’s economic structure optimization and accelerating economic growth.

关 键 词：数据要素 结构变迁 经济增长 新古典增长模型 新结构增长模型 发展环境 

分 类 号：F124[经济管理—世界经济] F061.3