数字经济对中国制造业绿色全要素生产率的空间溢出效应

Yipeng Huang, Zhiguo Chen, S. Yin
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引用次数: 0

摘要

数字经济的快速发展引起了广泛关注,因为它有可能推动传统行业,尤其是制造业的高质量发展。本研究探讨了数字经济与中国制造业绿色全要素生产率(GTFP)之间的空间动态和潜在空间差异。我们利用一组新颖的指标来评估中国各省数字经济的发展情况,并应用空间计量经济模型来研究数字经济对绿色全要素生产率的空间影响。本研究的主要研究内容和结论如下。(1)采用新颖的指标体系量化中国各省制造业中的数字经济发展水平,并将其作为主要解释变量,该指标体系在实证分析中表现出显著的有效性,具有科学性和方法论上的合理性。(2)本研究利用空间杜宾模型,分析了数字经济对制造业GTFP的空间效应,发现数字经济对全国制造业GTFP具有显著的正空间溢出效应。(3)研究结果表明,数字经济发展对制造业 GTFP 的空间溢出效应在东部和中部地区为正,而在西部地区为负。本研究将新经济地理学和不完全竞争理论的适用范围扩展到了数字经济时代,从而为这些学术领域做出了贡献。此外,它还引入了一个新的分析框架,用于评估数字经济对制造业发展的影响。研究结果为促进中国不同地区的数字经济发展提供了有价值的见解和政策建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial spillover effects of the digital economy on the green total factor productivity of China’s manufacturing industry
The rapid expansion of the digital economy has garnered significant attention because of its potential to drive high-quality advancement in traditional sectors, particularly manufacturing. This study examines the spatial dynamics and potential spatial disparities between the digital economy and green total factor productivity (GTFP) in China’s manufacturing sector. We utilize a novel set of indicators to assess the advancement of the digital economy during Chinese provinces and apply spatial econometric models to investigate its spatial influence on GTFP. The main research content and conclusions of this study are as follows. (1) By employing a novel index system to quantify the digital economy’s advancement level within the manufacturing sector across various provinces in China, and utilizing it as the primary explanatory variable, the index system demonstrates significant efficacy in empirical analysis and is both scientifically robust and methodologically sound. (2) Using the spatial Dubin model, this study analyzes the spatial effects of the digital economy on the GTFP of the manufacturing sector and finds that it has a dominant positive spatial spillover effect on the GTFP of the manufacturing industry nationwide. (3) The results show that the effects of digital economy advancement on GTFP in the manufacturing industry have a positive spatial spillover effect in the eastern and central area, whereas it is negative in the western area. This study extends the applicability of the new economic geography and imperfect competition theories to the digital economy era, thereby contributing to these academic fields. Moreover, it introduces a novel analytical framework for assessing the digital economy’s influence on manufacturing advancement. The findings provide valuable insights and policy recommendations for fostering the development of the digital economy advancement across diverse regions in China.
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