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
为了探究公路与铁路交通CO_2排放的影响因素及其贡献率,该文建立了基于贡献率的残值分配Laspeyres指数分解方法(contribution-based residual distribution Laspeyres index,CRDLI),并选取了中国和其他6个国家为研究对象,构建了公路与铁...为了探究公路与铁路交通CO_2排放的影响因素及其贡献率,该文建立了基于贡献率的残值分配Laspeyres指数分解方法(contribution-based residual distribution Laspeyres index,CRDLI),并选取了中国和其他6个国家为研究对象,构建了公路与铁路CO_2排放的二次分解模型。研究发现:周转量是影响各国公路与铁路CO_2排放的重要因素,1991—2010年,中国、澳大利亚、德国、日本、印度、英国和美国换算周转量引起的CO_2排放量变化分别为4.02、0.65、0.60、-0.12、2.33、0.24和4.84亿t;能耗强度和能源结构的改善是实现减缓CO_2排放增长或减少CO_2排放的重要途径;人均GDP的增长是推动公路与铁路周转量增长的最主要原因,降低周转量强度是减缓周转量上升进而减少CO_2排放的重要途径。为了实现中国交通部门的低碳发展,需要发掘技术节能潜力、调整运输结构、有效管理运输需求。展开更多
Regional carbon emissions research is necessary and helpful for China in realizing reduction targets. The LMDI I (Logarithmic Mean Divisia Index I) technique based on an extended Kaya identity was conducted to uncov...Regional carbon emissions research is necessary and helpful for China in realizing reduction targets. The LMDI I (Logarithmic Mean Divisia Index I) technique based on an extended Kaya identity was conducted to uncover the main five driving forces for energy-related carbon emissions in Xinjiang, an important energy base in China. Decomposition results show that the affluence effect and the population effect are the two most important contributors to increased carbon emissions. The energy intensity effect had a positive influence on carbon emissions during the pre-reform period, and then became the dominant factor in curbing carbon emissions after 1978. The renewable energy penetration effect and the emission coefficient effect showed important negative but relatively minor effects on carbon emissions. Based on the local realities, a comprehensive suite of mitigation policies are raised by considering all of these influencing factors. Mitigation policies will need to significantly reduce energy intensity and pay more attention to the regional economic development path. Fossil fuel substitution should be considered seriously. Renewable energy should be increased in the energy mix. All of these policy recommendations, if implemented by the central and local government, should make great contributions to energy saving and emission reduction in Xinjiang.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。
文摘为了探究公路与铁路交通CO_2排放的影响因素及其贡献率,该文建立了基于贡献率的残值分配Laspeyres指数分解方法(contribution-based residual distribution Laspeyres index,CRDLI),并选取了中国和其他6个国家为研究对象,构建了公路与铁路CO_2排放的二次分解模型。研究发现:周转量是影响各国公路与铁路CO_2排放的重要因素,1991—2010年,中国、澳大利亚、德国、日本、印度、英国和美国换算周转量引起的CO_2排放量变化分别为4.02、0.65、0.60、-0.12、2.33、0.24和4.84亿t;能耗强度和能源结构的改善是实现减缓CO_2排放增长或减少CO_2排放的重要途径;人均GDP的增长是推动公路与铁路周转量增长的最主要原因,降低周转量强度是减缓周转量上升进而减少CO_2排放的重要途径。为了实现中国交通部门的低碳发展,需要发掘技术节能潜力、调整运输结构、有效管理运输需求。
文摘Regional carbon emissions research is necessary and helpful for China in realizing reduction targets. The LMDI I (Logarithmic Mean Divisia Index I) technique based on an extended Kaya identity was conducted to uncover the main five driving forces for energy-related carbon emissions in Xinjiang, an important energy base in China. Decomposition results show that the affluence effect and the population effect are the two most important contributors to increased carbon emissions. The energy intensity effect had a positive influence on carbon emissions during the pre-reform period, and then became the dominant factor in curbing carbon emissions after 1978. The renewable energy penetration effect and the emission coefficient effect showed important negative but relatively minor effects on carbon emissions. Based on the local realities, a comprehensive suite of mitigation policies are raised by considering all of these influencing factors. Mitigation policies will need to significantly reduce energy intensity and pay more attention to the regional economic development path. Fossil fuel substitution should be considered seriously. Renewable energy should be increased in the energy mix. All of these policy recommendations, if implemented by the central and local government, should make great contributions to energy saving and emission reduction in Xinjiang.