不同城镇化质量下碳排放影响因素的实证研究——基于省级面板数据

发布时间：2018-06-23 09:01

本文选题：城镇化质量 + STIRPAT模型　；参考：《兰州大学学报(社会科学版)》2015年04期

【摘要】：选取1996-2012年间的省级面板数据,根据城镇化发展质量高低将全国29省市划分为三个组别,利用S1IRPAT模型考察了不同城镇化发展质量阶段碳排放影响因素的差异。结果表明:就全国整体而言,人均可支配收入是影响碳排放的最主要因素;随着城镇化质量的不断提高,城镇化对碳排放的驱动作用逐渐减弱。在城镇化发展质量不同的情景下,城镇化质量高和城镇化质量中等的地区,人均可支配收入对碳排放的驱动作用最为显著;城镇化质量低的地区,城镇化是影响碳排放的最主要原因。在此研究结论的基础上,根据城镇化发展质量的不同,提出相应的节能减排政策。
[Abstract]:Based on the provincial panel data from 1996 to 2012, 29 provinces and cities in China were divided into three groups according to the quality of urbanization development. The differences of carbon emission factors in different urbanization development quality stages were investigated by using S1IRPAT model. The results show that as a whole, per capita disposable income is the most important factor affecting carbon emissions, and with the continuous improvement of urbanization quality, the driving effect of urbanization on carbon emissions is gradually weakened. In different urbanization development quality scenarios, the driving effect of per capita disposable income on carbon emissions is the most significant in areas with high urbanization quality and medium urbanization quality; areas with low urbanization quality have the most significant driving effect on carbon emissions. Urbanization is the most important reason to affect carbon emissions. On the basis of the conclusion of this study, according to the different development quality of urbanization, the corresponding policies of energy saving and emission reduction are put forward.
【作者单位】：兰州大学经济学院;中国人民大学中国经济改革与发展研究院;
【基金】：兰州大学中央高校基本科研业务费专项资金项目(15LZUJBWZY013)
【分类号】：X22;F299.21

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