School of Economics, Southwestern University of Finance and Economics, Chengdu 611130, China.
Sci Total Environ. 2019 Nov 25;693:133436. doi: 10.1016/j.scitotenv.2019.07.242. Epub 2019 Jul 27.
Carbon emissions generated by China's industrial sectors-a result of rapid industrialization and extensive use of coal-have raised the Chinese government's concerns. In this study, we use a panel dataset representing China's industrial sectors over 2000-2010 to analyze the effect of domestic R&D, technology acquisition, and technology assimilation on China's industrial carbon intensity using both linear and non-linear analysis. Conventional dynamic panel regression analyses based on the difference generalized method of moments and system generalized method of moments are employed. The estimation results imply that domestic R&D activities and technology acquisition from domestic and abroad are conducive to reducing carbon intensity. Since the effect of technology acquisition on carbon intensity may be determined by technology assimilation factors, further investigation based on dynamic panel threshold model is conducted. The results of the dynamic panel threshold model indicate that technology assimilation factors, such as domestic R&D and market openness level, are crucial determinants of the level of industrial carbon intensity.
中国工业部门的碳排放——这是快速工业化和广泛使用煤炭的结果——引起了中国政府的关注。在本研究中，我们使用了一个代表中国工业部门 2000-2010 年的面板数据集，采用线性和非线性分析方法，分析了国内研发、技术获取和技术吸收对中国工业碳强度的影响。我们使用了基于差分广义矩方法和系统广义矩方法的传统动态面板回归分析。估计结果表明，国内研发活动和从国内外获取的技术都有利于降低碳强度。由于技术获取对碳强度的影响可能取决于技术吸收因素，因此我们进一步基于动态面板门槛模型进行了调查。动态面板门槛模型的结果表明，国内研发和市场开放水平等技术吸收因素是工业碳强度水平的重要决定因素。
