Wang Linzhu, Zhang Runzi, Geng Weina
Department of Big Data Science and Applied Statistics, School of Economics and Management, China University of Geosciences, 430078, China.
J Environ Manage. 2025 Feb;374:124050. doi: 10.1016/j.jenvman.2025.124050. Epub 2025 Jan 16.
As the economy enters the "new normal" and the upgrading of consumption structure enters a critical period of acceleration, under the dual background of accelerating the upgrading of consumption structure and realizing carbon peaking and carbon neutrality goals, it is of great significance to explore the impacts of the upgrading of consumption structure on the carbon emissions of households and the internal mechanism, so as to clarify how to promote the carbon emission reduction of households from the consumption side. This study calculates the household carbon emissions of 10 provinces and 1 municipality in the Yangtze River Economic Belt from 2012 to 2021 from direct and indirect perspectives. Using panel data, a fixed effect and mediating effect model is constructed to explore the mechanism of consumption structure upgrading affecting household carbon emissions. The spatial and temporal evolution characteristics of household carbon emissions are further analyzed, and the spatial Dubin model is constructed to study the spatial spillover effect of consumption structure upgrading on household carbon emissions. The results show that: (1) The upgrading of consumption structure is conducive to reducing household carbon emissions and passes the robustness test. (2) According to the mediating effect analysis, the upgrading of consumption structure reduces household carbon emissions by promoting technological innovation, effectively improving energy efficiency. (3) There is a significant negative spatial spillover effect on household carbon emissions. The upgrading of consumption structure can not only reduce household carbon emissions in the region, but also have a significant inhibitory effect on household carbon emissions in the surrounding areas. In order to reduce household carbon emissions, this study proposes policies to promote upgrading of consumption structure and technological innovation in accordance with local conditions, which will serve as a reference for policy makers and contribute to the accounting and monitoring system of household carbon emissions, which will help to realize China's "dual-carbon goal".
随着经济进入“新常态”,消费结构升级进入加速关键期,在加速消费结构升级与实现碳达峰、碳中和目标的双重背景下,探究消费结构升级对居民家庭碳排放的影响及其内在机制,对于明确如何从消费端推动居民家庭碳减排具有重要意义。本研究从直接和间接两个视角测算2012—2021年长江经济带10省1市的居民家庭碳排放。利用面板数据,构建固定效应和中介效应模型,探究消费结构升级影响居民家庭碳排放的机制。进一步分析居民家庭碳排放的时空演变特征,构建空间杜宾模型研究消费结构升级对居民家庭碳排放的空间溢出效应。结果表明:(1)消费结构升级有利于降低居民家庭碳排放,且通过了稳健性检验。(2)中介效应分析表明,消费结构升级通过促进技术创新、有效提高能源效率来降低居民家庭碳排放。(3)消费结构升级对居民家庭碳排放存在显著的负向空间溢出效应。消费结构升级不仅能降低本地区居民家庭碳排放,还对周边地区居民家庭碳排放有显著抑制作用。为降低居民家庭碳排放,本研究因地制宜提出促进消费结构升级和技术创新的政策建议,为政策制定者提供参考,助力居民家庭碳排放核算与监测体系建设,有助于实现我国“双碳目标”。