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中国区域绿色经济增长与资源错配
引用本文:沈智扬,邵安琪,陈雪丽.中国区域绿色经济增长与资源错配[J].北京理工大学学报(社会科学版),2023,25(1):43-54.
作者姓名:沈智扬  邵安琪  陈雪丽
作者单位:1.北京理工大学 管理与经济学院,北京 100081
基金项目:国家自然科学基金资助项目(72104028)
摘    要:以绿色低碳转型为导向,提高资源的配置效率是推动中国经济高质量发展的重要途径。为研究中国绿色经济增长与资源错配,从环境与经济双重维度评估2000—2018年中国省际绿色增长潜力并对其加以分解,分析资源配置的变动趋势和地区差异。研究结果显示:从增长潜力来看,中国经济绿色增长整体上呈改进趋势,这主要是受地区间资源错配持续改善驱动;从不同维度来看,整体增长主要由经济效率提升所驱动,而环境维度仍有较大改进空间。从资源配置来看,不同地区呈现明显差异,多数省份表现为资源要素稀缺;资源配置总体上呈现改善趋势,结构改进空间出现显著的俱乐部收敛。基于上述研究结果,对如何实现中国经济高质量发展与优化资源配置提出了相关政策建议。

关 键 词:绿色增长    结构效率    资源错配    俱乐部收敛
收稿时间:2022-04-27

Regional Ggreen Growth and Resource Misallocation in China
Institution:1.School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China2.Institute of Journalism and Communication, Chinese Academy of Social Sciences, Beijing 100021, China
Abstract:Guided by green and low-carbon transition, improving the efficiency of resource allocation is an important way to maintain fast economic growth and achieve high-quality development in China. To investigate green growth and resource misallocation in China, in this paper, green efficiency from 2000 to 2018 were assessed and decomposed from environmental and economic dimensions, and time-varying trends and regional differences in resource misallocation were analyzed. The results show that: green growth in China was improving, mainly driven by rapid economic growth and continuous improvement in resource allocation between regions; the main factor of green growth was the improvement of economic efficiency, instead of environment growth. From the perspective of resource misallocation, there existed obvious differences among regions. Most provinces were characterized by scarcity of resource, that is, structural inefficiency was positive, and a few provinces had excess factors, that is, structural inefficiency was negative; the overall resource allocation was improving and there existed significant club convergence. Based on the above research results, relevant policy recommendations on how to achieve high-quality development and optimize resource allocation are put forward in this paper.
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