首页|数字产业发展、资源配置与绿色全要素生产率提升

数字产业发展、资源配置与绿色全要素生产率提升

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  • 国家科技期刊平台
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  • NSTL
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数字产业发展能够产生规模效应、推动技术进步、提高要素使用效率、优化经济结构、促进绿色化转型,同时还能改善市场信息环境,缓解要素价格扭曲,减少资本和劳动力错配,提高要素配置效率,从而促进绿色全要素生产率增长.以我国 30 个省份 2010-2021 年的数据为研究样本,分析发现:数字产业发展显著提高了绿色全要素生产率,资本和劳动力配置在其中发挥了显著的中介作用,即数字产业能够通过改善资本错配和劳动力错配来提高绿色全要素生产率;在绿色全要素生产率较高地区、产业结构高级化水平较高地区,数字产业发展对绿色全要素生产率的提升作用更为显著,表明发展质量的提高有利于数字产业发展对绿色全要素生产率的提升作用发挥.因此,应积极推动数字产业发展,以数字化转型促进绿色化转型,强化数字平台建设以提高资源要素配置效率,并加快产业结构升级,有效促进绿色全要素生产率持续增长.
Digital Industry Development,Resource Allocation and Green Total Factor Productivity Improvement
With the application of digital technology,the digital industry has become a crucial engine driving industrial structure upgrading and high-quality economic development.At the same time,the increasing global resource and environmental pressure calls for environmental protection and sustainable economic and social development.Countries are committed to accelerating technological innovation,promoting the transformation and upgrading of economies,energy,and industrial structures,and improving green total-factor productivity,so as to achieve green production.In this context,the relationship between the digital industry and green total factor productivity has become one of the current research hotspots.Yet,most existing research focuses on the impact of the digital economy and digital technology on economic growth and industrial structure.Little research has been conducted on the relationship between the digital industry and green total factor productivity.This paper uses data from the China Statistical Yearbook,China Environmental Statistics Yearbook,and China Urban Statistical Yearbook compiled by the National Bureau of Statistics of China.The entropy weighting method is used to measure the comprehensive indexes of the development level of digital industries in 30 provinces in China.The level of green total factor productivity is calculated by constructing a super-efficiency model and using the SBM-DEA method.The relationship between digital industry development and green total factor productivity is empirically investigated using the panel fixed effect model and the mediation effect model.It is found that the development of the digital industry significantly promotes green total factor productivity,and resource allocation plays a transmission role between the two.That is,the development of the digital industry optimizes the factor allocation mode and improves the efficiency of traditional resource allocation,which in turn promotes the optimization and upgrading of industrial structure and green transformation,thus promoting green total factor productivity.Moreover,there are differences in the degree of impact of digital industry development on green total factor productivity under different productivity levels and industrial structure levels.This paper contributes to the existing literature in two aspects.Firstly,it investigates how the development of digital industries promotes green total factor productivity from an industrial perspective,unlike existing studies that focus on the digital economy level.Secondly,it not only explores the impact of resource allocation on green total factor productivity but also investigates the effect of the conduction mechanism that resource allocation produces between the development of digital industries and green total factor productivity.This paper further discusses the effects of different levels of productivity and industrial structure on green total factor productivity.Based on the existing"digital divide"and the reality of unbalanced regional development in China,this paper discusses the relationship between digital industry development and green total factor productivity.It provides theoretical support and policy recommendations for promoting the green transformation and green development of the digital industry and helps to promote the sustainable development of the economy.

digital industryresource allocationgreen total factor productivitycapital misallocationlabor misallocationfactor distortion

姚树俊、王霞、许俊宝

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西安财经大学 公共管理学院,陕西 西安 710010

西安统计研究院,陕西 西安 710010

数字产业 资源配置 绿色全要素生产率 资本错配 劳动力错配 要素扭曲

国家社会科学基金一般项目全国统计科学研究项目陕西省软科学研究计划项目陕西省软科学研究计划项目陕西省哲学社会科学研究专项陕西省哲学社会科学研究专项榆林市科技计划项目

19BTJ0562023LY0812022KRM0192019KRM0962022HZ14882022HZ19362023-CXY-187

2024

10.3969/j.issn.1674-8131.2024.04.006

西部论坛
重庆工商大学

西部论坛

CHSSCD北大核心
影响因子：1.032
ISSN：1674-8131
年,卷(期)：2024.34(4)
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