摘要
采用混合最小二乘估计、个体固定效应和随机效应三种方法建立碳排放量与低碳经济发展的面板数据模型,研究省域碳排放量与其五个重要影响因素间的关系。模型显示:经济增长状况、人口增长状况和产业结构是影响省域碳排放量最重要的因素,并与之呈现正相关,影响系数分别在0.218#0.491、0.213#0.460、0.564#0.570之间;能源价格、人均收入水平对省域碳排放量影响度相对较小,前者与之呈现负相关,后者则呈现正相关,影响系数分别在-0.159#-0.286、0.146#0.229之间。运用面板数据单位根检验、协整检验与误差纠正模型对省域碳排放量与人均收入水平、经济增长状况、产业结构、能源价格和人口增长之间短期和长期关系进行检验,发现它们之间存在单向的长期和短期内生经济增长关系。对此提出相关政策建议。
Panel data models about the relationship between carbon emission and low -carbon economic development are established by using three comparative methods including the mixed least squares estimation, the individual fixed effects and random effects to study the rela- tionships between provincial carbon emission and its five major influencing factors. The models show that the most important factors which affect Chinese provincial carbon emission are economic growth, population growth, and industrial structure, and they are all positively correlated with the influencing coefficients of 0.218 - 0.491, 0.213 - 0.460, and 0. 564 - 0.570 respectively; the influence of energy price and per capita income have relatively smaller influence on provincial car- bon emission. The former factor takes on negative correlation, while the latter takes on positively relation with the influencing coefficients of - 0. 159 - 0. 286, 0. 146 - 0.229 separately. Panel data unit root tests, co -integration tests and error correction models are used to test the short - term and long - term relations between Chinese provincial carbon emission with its five influencing factors, and the authors propose relevant policy recommendations to deal with their unidirectional long- term and shortterm endogenous economic growth relationships.
出处
《云南财经大学学报》
CSSCI
北大核心
2010年第5期59-66,共8页
Journal of Yunnan University of Finance and Economics
基金
广西壮族自治区科技厅软科学项目(0897003)
2009年桂林市第四批科学研究与技术开发项目(16)
关键词
碳排放量
低碳经济
面板单位根检验
面板协整检验
误差修正
Carbon Emission
Low -carbon Economy
Panel Unit Root Test
Panel Co - integration Test
Error Correction
