一个包含数据要素的经济增长模型:生产率效应与数据要素化  

An Economic Growth Model with Data Elements:Productivity Effect and Data into Factor of Production

作　　者：马路萌[1] 余东华[1] Ma Lumeng;Yu Donghua(Economics School,Shandong University,Jinan 250000,China)

机构地区：[1]山东大学经济学院,山东济南250000

出　　处：《科技进步与对策》2024年第4期12-22,共11页Science & Technology Progress and Policy

基　　金：国家自然科学基金面上项目(71973083);教育部人文社会科学研究规划基金项目(19YJA790109);山东省自然科学基金面上项目(ZR2019MG018)。

摘　　要：数字经济时代,数据成为独立生产要素,是科技创新的新引擎和经济高质量发展的新动能。从纯数字资产与数据匹配性投入共同组成数据要素化投入的角度理解数据生产要素化,使用数据匹配性投入综合得分对中国数据要素化投入进行时空分析和生产率效应分析。结果表明,中国数据要素化投入存在明显的区域差异,基于数据要素化投入对经济产出的积极作用,其对区域经济协调发展具有重要作用;数据匹配性投入价格持续下降会影响生产要素间的交互作用,数据生产要素的使用带来生产方式的根本变革;数据生产要素化基于数据间的互联互通和经济融合,能够加快数据确权,促进生产要素合理配置,从而推动产业创新和经济高质量发展。Data has become an independent factor of production and a new driving force for high-quality economic development.Constructing an economic growth model including data elements and accurately measuring the contribution of each production factor are of great significance to solve the source of economic growth in the era of digital economy.However,how to introduce data into production as a separate factor has become an important yet unsettled issue to promote data into factor of production and release the value of data elements.This paper follows the following ideas to solve the above problems.Firstly,it takes data into factor of production from the perspective that“pure digital assets and data matching input jointly constitute input of data elements”.A comprehensive index system of data matching input is constructed based on the principle that“hardware,software and network jointly complete the basic functions of computer storage,calculation and connectivity”.The global principal component analysis score of data matching input by province is used to analyze the spatial-temporal distribution characteristics of data elements.This paper deals with the relationship between“pure digital assets”and“data matching input”by referring to the similarity between data resources and human capital,which has certain reference significance for the quantitative analysis of data elements.Secondly,a three-factor economic growth model including data elements is constructed to analyze the productivity effect of the input of data elements.The interaction of production factors is also analyzed to understand the synergy of production factors in highly integrated industries.Thirdly,this paper analyzes the conditions for data into factor of production from the heterogeneity of the productivity effect of data matching input.Considering the integrity of“pure digital assets”,network externality and production spillover effect,it is believed that the degree of economic integration has an important impact on the conditions for

关 键 词：数据匹配性投入 数据生产要素 生产率效应 数据要素化 经济融合 

分 类 号：F014.1[经济管理—政治经济学]