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"双碳"目标下江西省碳排放效率动态演进与收敛特征OA

Dynamic Evolution and Convergence Characteristics of Carbon Emission Efficiency in Jiangxi Province under the"Dual Carbon"Target

中文摘要英文摘要

为了探明江西省11个地级市碳排放效率的时空演变规律、收敛特征及影响因素,借助超效率SBM模型、收敛检验以及面板固定效应回归模型等方法进行了分析.结果表明:1)从时间维度看,2008-2021年江西省碳排放效率整体呈波动式上升,其中南昌市、萍乡市、新余市、鹰潭市和赣州市碳排放效率较高,其他城市仍有较大的效率提升空间.但碳排放效率较低的地区其增长率要高于效率较高的地区,存在"追赶效应".2)从空间维度看,各城市的碳排放效率差异较大,具有"南高北低,中西高东北低"的特征,呈现离散式空间分布状态,未出现空间集聚.3)从收敛特征看,各城市的碳排放效率均存在σ收敛和β绝对收敛.4)从影响因素看,碳排放效率与经济发展水平、对外开放程度和能源效率呈现显著正相关关系,与产业结构具有显著的负相关关系,财政压力和人口密度对碳排放效率的影响则不显著.总体而言,各城市的碳排放效率在时间与空间上分布差异较明显,但这种差异正呈现缩小态势.

In order to investigate the spatio-temporal evolution,convergence characteristics and influencing factors of carbon emission efficiency of 11 prefecture-level cities in Jiangxi province,this paper analyzes the carbon emission efficiency by means of super efficiency SBM model,convergence test and panel fixed effect regression model.The results show that,1)From the perspective of time dimension,the overall carbon emission efficiency of Jiangxi province shows a fluctuating increase from 2008 to 2021,among which the carbon emission efficiency of Nanchang city,Pingxiang city,Xinyu city,Yingtan city and Ganzhou city is higher,and other cities still have a large space for efficiency improvement.However,the growth rate of regions with low carbon emission efficiency is higher than that of regions with high efficiency,and there is a"catch-up effect."2)From the spatial perspective,the carbon emission efficiency of each city varies greatly,with the characteristics of"high in the south and low in the north,high in the central and western regions and low in the northeast",showing a discrete spatial distribution state without spatial agglomeration.3)From the convergence characteristics,the carbon emission efficiency of each city has σ convergence and β absolute convergence.4)From the perspective of influencing factors,carbon emission efficiency has a significantly positive correlation with the level of economic development,the degree of opening up and energy efficiency,and a significantly negative correlation with industrial structure.In general,the carbon emission efficiency of each city has obvious differences in temporal and spatial distribution,but this difference is showing a narrowing trend.

罗露丹;陈华脉;贾伟强

南昌航空大学经济管理学院,南昌 330013南昌航空大学经济管理学院,南昌 330013南昌航空大学经济管理学院,南昌 330013

管理科学

碳排放效率超效率SBM模型时空差异收敛特征江西省

carbon emission efficiencysuper efficiency slacks-based measure(SBM)modelspatial and temporal differencesconvergence featureJiangxi province

《能源研究与管理》 2025 (3)

73-81,94,10

国家自然科学基金项目"规模养种沼气工程终端产品资源化利用模式反馈仿真应用研究"(72361025)2024年研究生创新专项资金项目"数字经济对碳排放影响的空间效应研究——以长江经济带为例"(YC2024-070)南昌航空大学研究生创新专项资金项目资助项目(校级)南昌航空大学博士启动基金项目"空间分异与空间溢出视角下环境规制对工业污染排放的影响机理与效应研究"(EA202309224)

10.16056/j.2096-7705.2025.03.011

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