Business School, Shandong University of Technology, Zibo, 255012, People's Republic of China.
Center for Agricultural-Sage Culture Studies, Weifang University of Science and Technology, Weifang, 262700, People's Republic of China.
Environ Sci Pollut Res Int. 2022 Aug;29(37):55691-55706. doi: 10.1007/s11356-022-19721-x. Epub 2022 Mar 23.
This research focuses on the impact of the digital economy on total factor carbon productivity. Based on the panel data of China's provinces from 2009 to 2019, this paper incorporates undesired output, namely carbon emissions, into the evaluation index system, and uses the SBM-ML index to measure regional total factor carbon productivity, and uses the RAGA-PP model to measure the digital economy development index, which includes three dimensions: digital infrastructure, digital industry development, and digital economic environment. Moreover, this paper incorporates the heterogeneous threshold of technological accumulation into the framework of the impact mechanism of total factor carbon productivity and builds a threshold model to examine the impact of the digital economy on total factor carbon productivity under different technological accumulation thresholds. The research shows that, first, during the sample period, total factor carbon productivity fluctuated around the frontier, showing a certain upward trend, with significant regional heterogeneity. Second, the digital economy has a promotional effect on the total factor carbon productivity level in China and can become the new energy for the country to improve the level of green development. Third, the impact of the digital economy on total factor carbon productivity presents a significant heterogeneous threshold effect of technological accumulation, along with the increasing level of technology accumulation, the effective coefficient of the digital economy on total factor carbon productivity is increasing, and the level of significance is increasing. Last, the low-carbon driving mechanism of the digital economy has temporal and spatial heterogeneity of regional technology accumulation levels. The conclusions of this paper provide an effective reference for exploring the realization mechanism of regional total factor carbon productivity improvement, ecological civilization construction, and high-quality economic development.
本研究聚焦于数字经济对全要素碳生产率的影响。基于 2009 年至 2019 年中国各省份的面板数据，本文将非期望产出，即碳排放纳入评价指标体系，采用 SBM-ML 指数测度区域全要素碳生产率，并采用 RAGA-PP 模型测度数字经济发展指数，包括数字基础设施、数字产业发展和数字经济环境三个维度。此外，本文将技术积累的异质门槛纳入全要素碳生产率影响机制的框架中，构建门槛模型，检验数字经济在不同技术积累门槛下对全要素碳生产率的影响。研究表明：第一，在样本期内，全要素碳生产率围绕前沿波动，呈一定上升趋势，具有显著的区域异质性。第二，数字经济对中国全要素碳生产率水平具有促进作用，可以成为国家提高绿色发展水平的新动力。第三，数字经济对全要素碳生产率的影响呈现出显著的技术积累异质门槛效应，随着技术积累水平的提高，数字经济对全要素碳生产率的有效系数呈递增趋势，且显著性水平也在提高。最后，数字经济的低碳驱动机制存在区域技术积累水平的时空异质性。本文的结论为探索区域全要素碳生产率提升、生态文明建设和高质量经济发展的实现机制提供了有效参考。
