Department of Economic Management, North China Electric Power University, Baoding, 071000, China.
Environ Sci Pollut Res Int. 2021 Dec;28(47):66914-66929. doi: 10.1007/s11356-021-15309-z. Epub 2021 Jul 8.
Carbon emission efficiency directly determines the level of green economic development. Based on the panel data of China's Yangtze River Economic Belt (YEB) from 2008 to 2017, this paper uses the stochastic frontier analysis (SFA) model to analyze the overall carbon emission efficiency level, influencing factors, and changing trends, with a view to discussing the relationship between economic development and carbon emission efficiency. The results suggest, first, the overall carbon emission efficiency of the YEB is on an upward trend, but there is still much room for improvement. Second, the impact of industrialization and urbanization on carbon emission efficiency follows a U-shaped. As industrialization and urbanization progress, the impact on carbon emission efficiency shows a downward and then upward trend. Third, due to the rebound effect, technological progress has a slight negative impact on carbon emission efficiency. Energy consumption structure, government intervention, and foreign trade are all negative incentive factors. Therefore, efforts to improve carbon emission efficiency in the YEB should focus on transforming the economic growth model, adjusting the industrial structure, improving the energy consumption structure, and innovating green technology. The research results can provide a reference for the government policymakers to develop a green economy.
碳排放效率直接决定了绿色经济发展的水平。本文基于 2008-2017 年中国长江经济带的面板数据,采用随机前沿分析(SFA)模型,分析了整体碳排放效率水平、影响因素和变化趋势,旨在探讨经济发展与碳排放效率之间的关系。结果表明,首先,长江经济带的整体碳排放效率呈上升趋势,但仍有很大的提升空间。其次,工业化和城市化对碳排放效率的影响呈倒 U 型。随着工业化和城市化进程的推进,对碳排放效率的影响呈现出先下降后上升的趋势。第三,由于回弹效应,技术进步对碳排放效率有轻微的负面影响。能源消费结构、政府干预和对外贸易都是负激励因素。因此,提高长江经济带碳排放效率的努力应重点放在转变经济增长模式、调整产业结构、改善能源消费结构和创新绿色技术上。研究结果可为政府决策者制定绿色经济发展政策提供参考。