摘要
基于空间计量模型和2005~2012年截面平均值数据,对四川地级市碳生产率活动的空间依赖性以及金融发展与碳生产率关系进行实证研究。全域空间自相关莫兰指数I和局域空间莫兰指数I结果显示,地级市碳生产率活动存在显著的空间相关性和空间集群趋势。考虑空间效应的碳生产率空间滞后模型显示,金融规模壮大和金融效率提高可有效地提高碳生产率,可通过建立完善的金融体系,加快金融发展,引导金融为低碳经济服务。
Based on the spatial econometric models and section data from 2005 to 2012,the paper analyzes car-bon productivity activities＇ spatial dependence of the prefecture-level city in Sichuan,and researches relationship be-tween carbon productivity and financial development. Global spatial autocorrelation Moran Moran index I and local spa-tial index I show that prefecture-level city carbon productivity has significant spatial correlation and spatial clusteringtrend. Carbon productivity lag effect of space model shows the financial scale and growth and financial efficiency can ef-fectively increase carbon productivity. So we should establish a sound financial system,accelerate financial develop-ment,and guide finance to service low-carbon economy.
出处
《区域金融研究》
2015年第9期4-8,共5页
Journal of Regional Financial Research
基金
教育部人文社会科学研究规划基金项目"桂滇黔地区碳排放实证研究--现状评价与对策(项目批准号:12YJA630101)"
关键词
金融规模
金融效率
碳生产率
空间效应
Financial Scale
Financial Efficiency
Carbon Productivity
Spatial Effects
