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机构地区:[1]财政部财政科学研究所博士后流动站,北京100142 [2]中南财经政法大学经济学院,湖北武汉430073
出 处:《中国人口·资源与环境》2013年第3期152-157,共6页China Population,Resources and Environment
基 金:国家社会科学基金项目"我国温室气体减排的技术经济路径优化与政策研究"(编号:12BJL054);中央高校基本科研业务费专项资金资助项目(编号:2011013)
摘 要:基于1995-2010年中国29省的面板数据,运用STIRPAT模型研究了城市化对低、中、高收入组省份CO2排放的影响。研究结果表明:人口数量的增加会导致CO2排放量的增加;各省人均实际收入和CO2排放量之间存在倒U形关系;随着人均实际收入的上升,城市化对低、中、高收入省份CO2排放量的影响是不同的:对低收入组而言,城市化和CO2排放量之间呈U形变化关系,对中等收入组而言,城市化水平的上升会带来CO2排放量的单调增加;而对高收入组来说,城市化和CO2排放量之间存在倒U形变化关系。说明城市化水平的上升对居民能源消费结构和技术进步的影响存在差异,且这种差异性与居民收入水平高低和经济发展阶段是密切相关的。因此,建议在推进城市化的过程中,针对不同收入组提出不同的政策侧重点,以优化能源结构,提高能源配置效率,实现节能减排的目标。Based on 1995 -2010 panel data of China's 29 provinces, this paper examines the influence of urbanization on CO2 emissions in low-, middle-and high-income provinces by using STIRPAT model. The results suggest that increase of population will lead to the increase of CO2 emissions, and there is an inverted U-shaped relationship between per capita real income and CO2 emissions ; while with the rise of per capita real income, the impact of urbanization on CO2 emissions is different in low-, middle-and high-income provinces. For low-income provinces, there is a U-shaped relationship between urbanization and CO2 emissions; for middle-income provinces, the rise in the level of urbanization will increase CO2 emissions monotonously; for high-income provinces, there is an inverted U-shaped relationship between urbanization and CO2 emissions. These findings imply that the impacts of urbanization on the structure of residential energy consumption and teehnological progress are different, and this difference is closely related to income levels and economic stages of development. It is therefore recommended that in order to optimize the structure of energy consumption, improve the efficiency of energy distribution and promote energy saving when advancing the urbanization process, the government should take different policies among provinces with different income levels.
关 键 词:CO2排放 城市化 收入水平 STIRPAT模型
分 类 号:F062[经济管理—政治经济学] F291
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