Affiliation:
1. Business School, Nanjing Xiaozhuang University, Nanjing 211171, China
Abstract
The development of China’s manufacturing industry is constrained by factors such as energy and resources, and low-carbon development is arduous. Digitalization is an important method to transform and upgrade traditional industries. Based on the panel data of 13 manufacturing industries in China from 2007 to 2019, a regression model and a threshold model were used to empirically test the impact of digitalization and electricity consumption on carbon emissions. The research results were as follows: (1) The digitalization level of China’s manufacturing industry was steadily increasing; (2) The proportion of electricity consumption in China’s manufacturing industries in the total electricity consumption hardly changed from 2007 to 2019, basically maintaining at about 6.8%. The total power consumption increased by about 2.1 times. (3) From 2007 to 2019, the total carbon emissions of China’s manufacturing industry increased, but the carbon emissions of some manufacturing industries decreased. (4) There was an inverted U-shaped relationship between digitalization and carbon emissions, the higher the level of digitalization input, the greater the carbon emissions of the manufacturing industry. However, when digitalization develops to a certain extent, it will also suppress carbon emissions to a certain extent. (5) There was a significant positive correlation between electricity consumption and carbon emissions in the manufacturing industry. (6) There were double energy thresholds for the impact of labor-intensive and technology-intensive manufacturing digitalization on carbon emissions, but only a single economic threshold and scale threshold. There was a single scale threshold for capital-intensive manufacturing, and the value was −0.5352. This research provides possible countermeasures and policy recommendations for digitalization to empower the low-carbon development of China’s manufacturing industry.
Funder
High-level Cultivation Project of Nanjing Xiaozhuang University
Subject
Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health
Reference78 articles.
1. Yao, F., Xue, L., and Liang, J. (2022). Research on coupling coordination and influencing factors between Urban low-carbon economy efficiency and digital finance—Evidence from 100 cities in China’s Yangtze River economic belt. PLoS ONE, 17.
2. Su, J., Su, K., and Wang, S. (2022). Evaluation of digital economy development level based on multi-attribute decision theory. PLoS ONE, 17.
3. Strategies for Digitalization in Manufacturing Firms;Calif. Manag. Rev.,2020
4. The Effect and Mechanism of Digital Economy on Regional Carbon Emission Intensity;Xie;Contemp. Econ. Manag.,2022
5. Digital Economy, Industrial Structure Upgrading and Carbon Emissions;Xie;Stat. Decis.,2022
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献