首页|"双碳"目标下欠发达地区碳排放效率时空演变与驱动因素——超效率SBM模型测度与GTWR模型的异质性分析

"双碳"目标下欠发达地区碳排放效率时空演变与驱动因素——超效率SBM模型测度与GTWR模型的异质性分析

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在"双碳"目标约束下,欠发达地区的传统高碳经济增长模式难以为继,如何在保持经济稳步发展的同时减少碳排放是欠发达地区面临的重要挑战.本文基于超效率SBM模型测度典型欠发达地区2006-2020年间的碳排放效率,探究了碳排放效率的时空演变特征,采用空间面板计量模型测度碳排放效率影响因素,运用GTWR模型研究驱动因素异质性.研究表明:欠发达地区碳排放效率高-高集聚区表现出极化效应,而低-低集聚区呈现溢出效应;人口规模、技术进步与经济发展是影响碳排放效率的主要驱动因素,碳排放效率受自身滞后效应影响;驱动因素存在时空异质性特征,经济发展水平较低地区存在环境"逐底"竞争效应,大多数城市的人口集聚效应逐渐增强,技术进步呈现"学习效应".因此,应当推进区域间协同治理碳污染问题,因地制宜实施低碳发展战略,助力欠发达地区实现绿色发展.
Spatio-temporal Evolution and Drivers of Carbon Emission Efficiency in Underdeveloped Regions under the"Dual-Carbon"Goal——Heterogeneity Analysis of Super-efficient SBM and GTWR Models
Under the constraint of"dual-carbon"target,the traditional high-carbon economic growth mode in less de-veloped regions is unsustainable.How to reduce carbon emissions while maintaining steady economic development is an important challenge for less developed regions.This paper measures the carbon emission efficiency of typical underdevel-oped regions during the period of 2006-2020 based on the super-efficient SBM model,explores the spatio-temporal evo-lution pattern of carbon emission efficiency,measures the influencing factors of carbon emission efficiency by adopting the spatial panel econometric model,and investigates the heterogeneity of the driving factors by applying the GTWR model.The study shows that in less developed regions,the high-high concentration areas of carbon emission efficiency show the polarization effect,while the low-low concentration areas show the spillover effect;the population size,technological progress and economic development are the main driving factors affecting the carbon emission efficiency,and the carbon emission efficiency is affected by its own lag effect;the driving factors are characterized by spatio-temporal heterogenei-ty,and the environmental"bottoming out"competition effect exists in regions with a low level of economic development,and the population agglomeration effect is gradually increasing in most cities,and technological progress shows a"learn-ing effect".Therefore,it is necessary to promote inter-regional synergistic management of carbon pollution,implement low-carbon development strategies according to local conditions,and promote the green development of underdeveloped regions.

carbon emission efficiencyspatio-temporal evolutiondriving factorsheterogeneity

张竞雪、王海杰

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郑州大学商学院,郑州 450001

碳排放效率 时空演变 驱动因素 异质性

国家社会科学基金河南省教育科学基金

20BJY0942021JKZB01

2024

商业研究
哈尔滨商业大学 中国商业经济学会

商业研究

CSTPCDCSSCICHSSCD北大核心
影响因子:1.012
ISSN:1001-148X
年,卷(期):2024.(2)
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