以中国的29个省区作为研究单元,运用脱钩指数研究经济增长与碳排放动态耦合关系。基于LMDI(logarithmic mean Divisia index)因素分解法,从经济的规模增长、结构转型和技术升级等3个方面对各省区碳排放变化进行解析。对1990—2014年期...以中国的29个省区作为研究单元,运用脱钩指数研究经济增长与碳排放动态耦合关系。基于LMDI(logarithmic mean Divisia index)因素分解法,从经济的规模增长、结构转型和技术升级等3个方面对各省区碳排放变化进行解析。对1990—2014年期间的研究有如下结果:1)中国的经济不断上升,碳排放也呈逐年增加趋势,而碳排放强度却逐渐下降,整体呈现“绿色转型”态势。从空间格局看,碳排放高的省区分布在北部沿海和西南经济区。2)中国的29个省区主要处于绝对脱钩、相对脱钩和扩张性负脱钩3种状态,不同省区经济发展与碳排放的耦合关系随着时间的变化而发生演化。3)中国经济增长过程中,经济规模的增长对碳排放增长整体呈现正向驱动作用,而技术的进步和产业结构调整的作用因区域而异。不同时期,中国各省区碳排放的主导效应也具有差异性,主导效应主要为规模效应和技术效应,结构效应的影响最小。展开更多
This paper utilizes the Theil and decoupling indices to analyze variation in carbon productivity as well as the factors that influence regional carbon productivity in China and proposes carbon emission reduction count...This paper utilizes the Theil and decoupling indices to analyze variation in carbon productivity as well as the factors that influence regional carbon productivity in China and proposes carbon emission reduction countermeasures. The authors conclude that most provinces exhibit year-on-year rising carbon productivity, a trend which decreases moving from east to western China. When applied to carbon productivity, the Theil index presents distinct regional differences. Moreover, the regional variance in carbon productivity is consistently reduced in eastern China and becomes smaller in central China. The difference, however, grows in western China. Carbon productivity grows with the highest speed in central China and the lowest speed in western China. Overall variation in carbon productivity mainly arises from intra-regional difference, whereas inter-regional difference mainly contributed by eastern China. In recent years; both the decoupling index, a dynamic value equal to the rate of change rate in carbon emissions divided by the rate of change in GDP during a given period of time, and carbon productivity vary in different economic development stages. Even if under the same decoupling state, carbon productivity remains different in three regions, i.e., that of the eastern region is higher than the other two regions .展开更多
文摘以中国的29个省区作为研究单元,运用脱钩指数研究经济增长与碳排放动态耦合关系。基于LMDI(logarithmic mean Divisia index)因素分解法,从经济的规模增长、结构转型和技术升级等3个方面对各省区碳排放变化进行解析。对1990—2014年期间的研究有如下结果:1)中国的经济不断上升,碳排放也呈逐年增加趋势,而碳排放强度却逐渐下降,整体呈现“绿色转型”态势。从空间格局看,碳排放高的省区分布在北部沿海和西南经济区。2)中国的29个省区主要处于绝对脱钩、相对脱钩和扩张性负脱钩3种状态,不同省区经济发展与碳排放的耦合关系随着时间的变化而发生演化。3)中国经济增长过程中,经济规模的增长对碳排放增长整体呈现正向驱动作用,而技术的进步和产业结构调整的作用因区域而异。不同时期,中国各省区碳排放的主导效应也具有差异性,主导效应主要为规模效应和技术效应,结构效应的影响最小。
文摘This paper utilizes the Theil and decoupling indices to analyze variation in carbon productivity as well as the factors that influence regional carbon productivity in China and proposes carbon emission reduction countermeasures. The authors conclude that most provinces exhibit year-on-year rising carbon productivity, a trend which decreases moving from east to western China. When applied to carbon productivity, the Theil index presents distinct regional differences. Moreover, the regional variance in carbon productivity is consistently reduced in eastern China and becomes smaller in central China. The difference, however, grows in western China. Carbon productivity grows with the highest speed in central China and the lowest speed in western China. Overall variation in carbon productivity mainly arises from intra-regional difference, whereas inter-regional difference mainly contributed by eastern China. In recent years; both the decoupling index, a dynamic value equal to the rate of change rate in carbon emissions divided by the rate of change in GDP during a given period of time, and carbon productivity vary in different economic development stages. Even if under the same decoupling state, carbon productivity remains different in three regions, i.e., that of the eastern region is higher than the other two regions .
