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江西省碳排放效率与产业结构升级的耦合研究

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本文采用包含非期望产出的超效率SBM模型进行碳排放效率测算,并根据已有研究和应用扩展的耦合模型,对11个设区市按耦合程度和耦合特征进行多重分类,以此考察江西省各设区市碳排放效率与产业结构升级的耦合关系.研究表明:江西省碳排放效率和产业结构升级水平在时间和空间格局上存在差异,从地区分布看,各设区市关联度不明显,西北地区总体碳排放效率水平有待提高;从时间维度看,各设区市产业结构升级水平自2010年后一直稳步缓慢上升,但碳排放效率却整体呈下降趋势,且各设区市之间的水平差异较大.综上,江西省应协调好经济发展与生态文明建设之间的关系,在实现产业结构升级的同时控制碳排放量.
A Study on the Coupling of the Carbon Emission Efficiency and Industrial Structure Upgrading in Jiangxi Province
This paper calculates the carbon emission efficiency with the super-efficiency SBM model that includes unexpected outputs.Based on the existing studies and extended coupling models,it classi-fies 11 cities with subordinate districts into multiple categories according to their coupling degree and characteristics as a way to examine the coupling relationship between the carbon emission efficiency and industrial structure upgrading of the cities with subordinate districts in Jiangxi Province.The results show that Jiangxi Province represents differences in the temporal and spatial patterns of carbon emission efficiency and industrial structure upgrading.From the perspective of regional distribution,there is no significant correlation among those cities,and the northwest region of Jiangxi Province needs to improve their overall carbon emission efficiency.From a temporal perspective,those cities have made slow but steady progress in their industrial structure upgrading since 2010,but their overall carbon emission effi-ciency has shown a downward trend,and there is a significant difference in upgrading level among them.Therefore,Jiangxi Province should coordinate the relationship between economic development and eco-logical civilization construction,and control carbon emissions while achieving industrial structure up-grading.

Carbon Emission EfficiencyIndustrial Structure UpgradingCoupling DegreeRegional DifferencesCoupling Paths

张广来、代娅萍、邓钟莹

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江西财经大学经济学院(江西南昌 330013)

碳排放效率 产业结构升级 耦合度 地区差异 耦合路径

江西省社会科学"十四五"基金青年项目江西省博士后研究人员日常经费资助项目

22YJ402021RC05

2024

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江西省科学技术情报研究所

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影响因子:0.267
ISSN:1671-4792
年,卷(期):2024.(1)
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