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首页> 外文期刊>The Science of the Total Environment >Domestic R&D, technology acquisition, technology assimilation and China's industrial carbon intensity: Evidence from a dynamic panel threshold model
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Domestic R&D, technology acquisition, technology assimilation and China's industrial carbon intensity: Evidence from a dynamic panel threshold model

机译:国内研发,技术获取,技术吸收与中国工业碳强度:来自动态面板阈值模型的证据

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摘要

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. (C) 2019 Elsevier B.V. All rights reserved.
机译:快速工业化和广泛使用煤炭导致的中国工业部门产生的碳排放引起了中国政府的关注。在这项研究中,我们使用代表2000-2010年中国工业部门的面板数据集,通过线性和非线性分析来分析国内研发,技术获取和技术同化对中国工业碳强度的影响。采用基于差分矩广义方法和系统矩广义方法的常规动态面板回归分析方法。估算结果表明,国内研发活动和从国内外获得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是由技术同化因素决定的,因此基于动态面板阈值模型进行了进一步的研究。动态面板阈值模型的结果表明,技术同化因素,例如国内研发和市场开放程度,是决定工业碳强度水平的关键因素。 (C)2019 Elsevier B.V.保留所有权利。

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