检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:张忠杰 Zhang Zhongjie(Gansu Economic Development Quantitative Analysis Research Center;School of Statistics,Lanzhou University of Finance and Economics,Lanzhou 730020,China)
机构地区:[1]兰州财经大学甘肃经济发展数量分析研究中心 [2]兰州财经大学统计学院
出 处:《统计与决策》2018年第19期135-138,共4页Statistics & Decision
基 金:国家自然科学基金青年项目(71704070);教育部人文社会科学研究青年基金项目(17XJC790002)
摘 要:文章基于Dagum基尼系数和马尔科夫链方法,研究了中国30个省份(不含西藏及港、澳、台地区,下同)2005—2015年碳生产率的空间非均衡性和动态演进过程。结果发现:(1)中国碳生产率的Dagum基尼系数有增加的趋势。(2)三大区域碳生产率基尼系数均小于中国整体的碳生产率基尼系数,但是东部和中部之间、东部和西部之间的碳生产率基尼系数大于中国整体的碳生产率基尼系数。(3)各省碳生产率存在较大的惯性。(4)初始状态碳生产率较低的省份邻近省份的碳生产率也较低,而初始状态碳生产率较高的省份邻近省份的碳生产率也较高。Based on the Dagum Gini coefficient and the Markov chain method, this paper studies the spatial heterogeneity and dynamic evolution process of carbon production in China's 30 provinces(excluding Tibet, Hong Kong, Macao, and Taiwan, the same below) from 2005 to 2015. The results show that 1) the Dagum Gini coefficient of China's carbon productivity has a rising trend; 2) the Gini coefficient of carbon productivity in the three regions is smaller than that of China's overall carbon productivity Gini coefficient, but the Gini coefficient between the eastern and middle, eastern and western regions is greater than that of China's overall carbon productivity Gini coefficient; 3) there is a large inertia in the carbon productivity of each province; 4) neighboring provinces of the provinces with low initial carbon productivity also have lower carbon productivity, while neighboring provinces of the provinces with high initial carbon productivity also have higher carbon productivity.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.116.42.143