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结构因素对中国服务业能源碳排放的影响:投入产出视角。

Structural factors influencing energy carbon emissions in China's service industry: an input-output perspective.

机构信息

School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, Zhejiang, China.

School of Economics, Hainan University, Haikou, 570228, Hainan, China.

出版信息

Environ Sci Pollut Res Int. 2022 Jul;29(32):49361-49372. doi: 10.1007/s11356-022-19287-8. Epub 2022 Feb 26.

Abstract

Existing literatures on energy carbon emissions mainly focus on high-energy industries such as electricity, transportation, and construction, while there are few researches on energy carbon emissions of relatively low-carbon industries such as the service industry. But with the service sector accounting for more than one-half of China's national economy, its carbon emissions are increasingly not negligible. Based on this, we use the structural decomposition model, input-output analysis method, and energy consumption method to study the structural factors influencing energy carbon emissions in China's service industry from 2007 to 2017. The results show that (1) the pressure and space of energy carbon emission reduction of the service industry are still huge in the future. Specifically, in the sample range, although the excessive growth of the energy carbon emissions of the service industry has been alleviated, the proportion of high-carbon energy in the energy carbon emissions of the service industry is still high, and the optimization of the energy consumption structure has not been significantly improved. (2) During the sample period, the energy utilization efficiency of the service industry has been significantly optimized and improved, which leads to the inhibition of the energy intensity effect on the growth of carbon emissions of the service industry. However, it should be noted that the emission reduction effect exerted by the energy intensity effect over time shows a tired trend. Therefore, in the future, the control of energy carbon emissions in the service industry needs to take multiple approaches to work together. (3) Input structure effect, energy structure effect, and final demand effect promote the growth of service industry energy carbon emissions. This also indicates that in the sample range, the service industry as the final demand product has the characteristics of high carbonization, the generalized technological progress of the input structure effect has not been improved, and the energy consumption structure on the supply side of the service industry has not been optimized. Therefore, China's service industry still has great potential for emission reduction from the above three aspects in the future. The research results provide a theoretical analysis basis and practical guidance for more accurate and efficient emission reduction in the service industry from the input-output perspective.

摘要

现有关于能源碳排放的文献主要集中在电力、交通、建筑等高能耗产业,而对服务业等相对低碳产业的能源碳排放研究较少。但随着服务业在中国国民经济中的比重超过一半,其碳排放日益不可忽视。基于此,我们采用结构分解模型、投入产出分析方法和能源消费法,研究了 2007 年至 2017 年中国服务业能源碳排放的结构因素。结果表明:(1)未来服务业能源碳减排的压力和空间依然巨大。具体而言,在样本范围内,尽管服务业能源碳排放量的过度增长有所缓解,但服务业能源碳排放量中高碳能源的比例依然较高,能源消费结构优化程度并未明显改善。(2)样本期间,服务业能源利用效率得到显著优化和提升,导致能源强度效应对服务业碳排放增长的抑制作用。然而,需要注意的是,能源强度效应的减排效果随着时间的推移呈现出疲惫趋势。因此,未来服务业的能源碳减排控制需要采取多种措施共同作用。(3)投入结构效应、能源结构效应和最终需求效应促进了服务业能源碳排放的增长。这也表明,在样本范围内,服务业作为最终需求产品具有高碳化的特点,投入结构效应的广义技术进步并未得到改善,服务业供给侧的能源消费结构也未得到优化。因此,从以上三个方面来看,中国服务业在未来仍有很大的减排潜力。研究结果为从投入产出角度更准确、更有效地实现服务业减排提供了理论分析依据和实践指导。

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