Spatial-temporal evolution and influencing factors of China's economic development performance under carbon emission constraints

Zhixiang Xie, Rongqin Zhao, Liangang Xiao, Minglei Ding
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Abstract

Abstract Background: Guided by the green transformation of economic development, incorporating carbon peaking and carbon neutrality into ecological progress, and accelerating the formation of an industrial and energy structure that saves resources and protects the environment are the intrinsic requirements for China's high-quality economic development. The paper uses the DEA model and Malmquist productivity index to measure the economic development performance of 30 provincial units in mainland China, and summarizes the spatial-temporal evolution characteristics. Then, the Tobit model is used to analyze the influencing factors. Results: Our results show that: (1) The static performance of economic development generally showed an upward trend from 2008 to 2020, except for Beijing, Jilin, Heilongjiang, Guangdong, Hainan, Ningxia and Xinjiang, most of provinces had different degrees of input redundancy and output insufficiency. (2) The spatial distribution pattern of the static performance under carbon emissions constraint is dominated by the higher and high-level areas. As time goes by, the number of provincial units in different level areas tends to be stable, and the spatial distribution shows staggered layout characteristics. (3) The dynamic performance of economic development shows a downward trend from 2008 to 2016, and an upward trend from 2016 to 2020. The dynamic performance in most of provincial units has realized the transformation from the constraint of technological progress to the constraint of scale efficiency. (4) The urbanization level, economic development level, energy efficiency and the vegetation coverage are the main factors affecting economic development performance, while other factors such as industrialization level, environmental regulation, motorization level, openness and government intervention have no significant effect. Conclusions: This study suggests that China should adopt industrial structure transformation and upgrading, strengthen environmental regulation, promote new energy vehicles and introduce high-tech industries to improve economic development performance in the future.
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碳排放约束下中国经济发展绩效时空演化及影响因素
背景:以经济发展方式绿色转型为指导,将碳调峰和碳中和纳入生态文明建设,加快形成节约资源、保护环境的产业结构和能源结构,是中国经济高质量发展的内在要求。本文采用DEA模型和Malmquist生产率指数对中国大陆30个省区市的经济发展绩效进行测度,并总结其时空演化特征。然后,运用Tobit模型对影响因素进行分析。结果表明:(1)2008 - 2020年经济发展静态绩效总体呈上升趋势,除北京、吉林、黑龙江、广东、海南、宁夏和新疆外,其余省份均存在不同程度的投入冗余和产出不足。②碳排放约束下的静态绩效空间分布格局以高水平区为主;随着时间的推移,不同层次地区的省级单位数量趋于稳定,空间分布呈现交错布局特征。③2008 - 2016年经济发展动态表现为下降趋势,2016 - 2020年经济发展动态表现为上升趋势。大部分省级单位的动态绩效实现了由技术进步约束向规模效率约束的转变。(4)城市化水平、经济发展水平、能源效率和植被覆盖度是影响经济发展绩效的主要因素,工业化水平、环境规制、机动化水平、开放程度和政府干预等因素对经济发展绩效的影响不显著。结论:本研究建议未来中国应采取产业结构转型升级、加强环境监管、推广新能源汽车、引进高新技术产业等措施来提高经济发展绩效。
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