基于动态空间杜宾面板模型中国建筑业碳排放的影响因素研究
发布时间：2018-11-14 17:21
【摘要】：基于STIRPAT模型及动态空间杜宾面板数据模型,根据2002—2013年中国的省域面板数据,实证分析了我国建筑产业碳排放的影响因素。主要结论包括:各省份建筑业碳排放总量的增加都会拉动邻省份同行业的碳排放量上升,这种影响力不仅在当期发挥作用,而且是持续的、逐渐增强的;在长期或短期内,适当控制建筑行业就业人数及行业人员工资水平的上升,在所属区域内会对节能减排产生积极影响,对于相邻区域则是消极影响;节能减排技术的创新与发展、低碳能源的开发与利用是建筑行业低碳发展中最为重要和关键的环节,同时,实现建筑材料制造业的统筹安排、优化布局与均衡发展,才能使低碳转型成为建筑产业发展的核心竞争力。
[Abstract]:Based on the STIRPAT model and the dynamic spatial Doberbin panel data model, based on the provincial panel data of China from 2002 to 2013, this paper empirically analyzes the influencing factors of carbon emissions in China's construction industry. The main conclusions are as follows: the increase of the total carbon emissions of the construction industry in each province will lead to the increase of the carbon emissions of the neighboring provinces, which will not only play a role in the current period, but also be sustained and gradually enhanced; In the long or short term, properly controlling the increase of the employment and wage level of the construction industry will have a positive impact on energy saving and emission reduction in their respective regions, and a negative impact on the adjacent regions. The innovation and development of energy-saving and emission reduction technology and the development and utilization of low-carbon energy are the most important and key links in the low-carbon development of the construction industry. At the same time, the overall arrangement of the building materials manufacturing industry is realized, and the layout and balanced development are optimized. In order to make low carbon transformation into the core competitiveness of the development of the construction industry.
【作者单位】： 徐州工程学院管理学院;徐州工程学院土木工程学院;
【基金】：江苏省高校哲学社会科学基金指导项目“江苏新型城镇化低碳发展的机制与路径研究——基于耦合与脱钩视角”(2015SJD473) 住房和城乡建设部科学技术项目“中国建筑产业的低碳发展机制与对策研究”(2014-R4-015) 江苏省建设系统科技项目“新型城镇化背景下江苏建筑产业的低碳发展机制与路径选择”(2014ZD45) 江苏省高校哲学社会科学基金指导项目“研发投入推动战略性新兴产业高端化研究”(2016SJD790029) 江苏省“青蓝工程”资助 江苏省高校优秀中青年教师和校长境外研修计划资助
【分类号】：F426.92;X322
本文编号：2331811
[Abstract]:Based on the STIRPAT model and the dynamic spatial Doberbin panel data model, based on the provincial panel data of China from 2002 to 2013, this paper empirically analyzes the influencing factors of carbon emissions in China's construction industry. The main conclusions are as follows: the increase of the total carbon emissions of the construction industry in each province will lead to the increase of the carbon emissions of the neighboring provinces, which will not only play a role in the current period, but also be sustained and gradually enhanced; In the long or short term, properly controlling the increase of the employment and wage level of the construction industry will have a positive impact on energy saving and emission reduction in their respective regions, and a negative impact on the adjacent regions. The innovation and development of energy-saving and emission reduction technology and the development and utilization of low-carbon energy are the most important and key links in the low-carbon development of the construction industry. At the same time, the overall arrangement of the building materials manufacturing industry is realized, and the layout and balanced development are optimized. In order to make low carbon transformation into the core competitiveness of the development of the construction industry.
【作者单位】： 徐州工程学院管理学院;徐州工程学院土木工程学院;
【基金】：江苏省高校哲学社会科学基金指导项目“江苏新型城镇化低碳发展的机制与路径研究——基于耦合与脱钩视角”(2015SJD473) 住房和城乡建设部科学技术项目“中国建筑产业的低碳发展机制与对策研究”(2014-R4-015) 江苏省建设系统科技项目“新型城镇化背景下江苏建筑产业的低碳发展机制与路径选择”(2014ZD45) 江苏省高校哲学社会科学基金指导项目“研发投入推动战略性新兴产业高端化研究”(2016SJD790029) 江苏省“青蓝工程”资助 江苏省高校优秀中青年教师和校长境外研修计划资助
【分类号】：F426.92;X322
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1 冯博;王雪青;刘炳胜;;考虑碳排放的中国建筑业能源效率省际差异分析[J];资源科学;2014年06期
，本文编号：2331811
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