Digital economy, technical change and total factor productivity: Empirical evidence from high-tech industry in China

IF 5.9 2区管理学 Q1 COMMUNICATION

Telecommunications Policy Pub Date : 2024-08-02 DOI:10.1016/j.telpol.2024.102834

Linyan Zhang , Chunyu Hu , Chuanyin Guo , Jianguo Wang

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引用次数: 0

Abstract

This study uses the Hicks-Moorsteen index method to examine the impact mechanism of the digital economy on the total factor productivity and its decomposition efficiencies of the high-tech industry in China. The results show that the total factor productivity of the high-tech industry in the research and development phase is significantly and positively influenced by the primary phase of digital economy development. Digital economy development has a positive impact on technical change, according to the specific path analysis, which has an inverted U-shaped nonlinear characteristic. With a U-shaped nonlinear characteristic, it has a significant and persistent negative impact on efficiency changes, where the positive impact of technological spillovers on the digital economy outweighs the negative impact of technological shocks. The threshold effect test shows that the best condition for promoting total factor productivity and its decomposition efficiency in the R&D stage of high-tech industry was achieved when the digital economy composite index was between 2.611 and 2.747.

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数字经济、技术变革和全要素生产率：中国高科技产业的经验证据

本研究采用希克斯-莫尔斯坦指数法，考察了数字经济对我国高新技术产业全要素生产率及其分解效率的影响机制。结果表明，高新技术产业研发阶段的全要素生产率受到数字经济发展初级阶段的显著正向影响。根据具体的路径分析，数字经济发展对技术变革有正向影响，具有倒 U 型的非线性特征。在 U 型非线性特征下，它对效率变化具有显著且持续的负向影响，即数字经济的技术溢出效应的正向影响大于技术冲击的负向影响。阈值效应检验表明，当数字经济综合指数在 2.611 至 2.747 之间时，是促进高新技术产业研发阶段全要素生产率及其分解效率的最佳条件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Telecommunications Policy 工程技术-电信学

CiteScore

10.80

自引率

12.50%

发文量

122

审稿时长

38 days

期刊介绍： Telecommunications Policy is concerned with the impact of digitalization in the economy and society. The journal is multidisciplinary, encompassing conceptual, theoretical and empirical studies, quantitative as well as qualitative. The scope includes policy, regulation, and governance; big data, artificial intelligence and data science; new and traditional sectors encompassing new media and the platform economy; management, entrepreneurship, innovation and use. Contributions may explore these topics at national, regional and international levels, including issues confronting both developed and developing countries. The papers accepted by the journal meet high standards of analytical rigor and policy relevance.