| 基于动态面板模型的中国区域碳排放影响因素研究 |
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| 引用本文： | 崔和瑞,王浩然,赵巧芝.基于动态面板模型的中国区域碳排放影响因素研究[J].科技管理研究,2019,39(12):238-244. |
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| 作者姓名： | 崔和瑞 王浩然 赵巧芝 |
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| 作者单位： | 华北电力大学经济管理系,河北保定,071003;华北电力大学经济管理系,河北保定,071003;华北电力大学经济管理系,河北保定,071003 |
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| 基金项目： | 河北省科技厅创新能力提升计划项目“京津冀低碳技术协同创新系统构建及运行 机制研究”（18456214D）；华北电力大学研究生优质课程建设项目“中级计量经济学课程建设项目”（130017043）。 |
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| 摘 要： | 通过动态面板模型和系统矩估计方法对影响碳排放强度的因素进行研究。结果表明,碳排放强度具有显著动态效应,高碳排放省份的动态锁定效应不容忽视。人均GDP与产业结构对碳排放强度具有显著正向效应,环境库兹涅茨假说成立。研发投入对碳排放强度具有显著负向作用,而人口、能源结构和外商直接投资未产生显著作用。因此,优化产业结构和加大研发投入将是加速区域低碳转型的主要潜力方向,同时缓解高碳排放省份的动态锁定效应也是未来低碳转型的重要课题。
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| 关 键 词： | 碳排放强度 影响因素 系统广义矩估计 |
| 收稿时间： | 2018/7/25 0:00:00 |
| 修稿时间： | 2018/10/17 0:00:00 |
Research on Influential Factors of Regional Carbon Dioxide Emissions in China: Based on Dynamic Spatial Panel Model |
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| Cui Herui,Wang Haoran,Zhao Qiaozhi.Research on Influential Factors of Regional Carbon Dioxide Emissions in China: Based on Dynamic Spatial Panel Model[J].Science and Technology Management Research,2019,39(12):238-244. |
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| Authors: | Cui Herui Wang Haoran Zhao Qiaozhi |
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| Institution: | (Economic and Management School,North China Electric Power University,Baoding 071003 ,China) |
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| Abstract: | This paper used dynamic panel data model and System-Generalized Method of Moments ( SYS-GMM ) to study influential factors affecting carbon emission intensity. Results are as follows: Carbon emission intensity has significant dynamic effect, dynamic locking-in effect of high carbon emission cannot be ignored. GDP per capita and the industrial structure are significant positive factors, environmental Kuznets hypothesis is supported. R&D input has a significant negative related to carbon emission intensity, but urban population ratio, energy structure and foreign investment are not significant. Therefore, optimize industrial structure and increasing investment in green technology research and development will be the main potential direction for China to accelerate regional low carbon transformation process. Relieving the dynamic locking-in effect in high carbon emission provinces is also a topic that needs attention for low carbon transformation in the future. |
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| Keywords: | carbon emissions intensity influential factors SYS-GMM |
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