首页|中等收入群体崛起如何影响碳排放——消费视角下的研究

中等收入群体崛起如何影响碳排放——消费视角下的研究

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中国日益壮大的中等收入群体在释放巨大消费潜力的同时,也引发了碳排放增加、减排压力增大的担忧。将这种定性担忧转化为定量认识,有助于从容应对气候挑战,为决策者针对特定消费群体制定差异化的减排策略提供信息参考。该研究开发了基于家庭微观调查数据和机器学习算法的消费模式预测模型,结合投入产出模型拆分方法,实现将家庭消费选择异质性纳入环境影响评估宏观模拟的方法构建,以此为工具评估了新兴中等收入群体可能造成的碳排放影响,比较了扩大中等收入群体不同政策情景下的影响差异。结果发现:①若2018-2030年实现中等收入群体规模倍增(以2018年不变价计,年收入3。3万~8。0万元/人的全国人口比重增加24%),则达峰年新兴中等收入群体消费升级隐含的额外碳排放为2。7亿~3。6亿t,居民消费相关的减排工作量增加8%~11%。②新兴中等收入群体在仅收入提升情景下的消费碳排放显著低于原中等收入群体(人均碳排放相差0。2~0。3 t),二者之间的差距蕴含着这一群体在阶层跃迁过程中协同实现收入增长与碳排放控制的可塑空间。③与人力资本提升和完善社会保障情景相比,城镇化情景下扩大中等收入群体带来的碳排放影响更大,且扩大中等收入群体的不同政策组合对碳排放的边际影响不等同于单一政策独立作用所带来的影响之和,而是存在放大或对冲效应。这意味着,及时把握中等收入群体消费转型的可塑契机,在城镇化进程中通过健全城市基础设施配套等措施对该群体低碳生活开展针对性的引导,是协同实现共同富裕与碳中和目标的前瞻性举措。
How does China's emerging middle-income group affect carbon emissions?A study from the perspective of consumption
The lifestyle changes of China′s emerging middle-income group have raised severe concerns about growing carbon emis-sions while stimulating consumption.Converting qualitative concerns to quantitative understanding provides supporting information for national climate change mitigation and facilitates targeted mitigation measures for distinct consumer groups.This study developed a consumption pattern prediction model based on household micro-survey data and machine learning algorithms.Combining this model with the input-output table disaggregation method,it incorporated the heterogeneity of household consumption choices into the macro-simulation of environmental impact assessment.The study used this tool to assess the carbon emissions brought by the emerging middle-income group and compare the impact differences under various policy scenarios.The results showed that:① If the scale of the middle-income group doubled during 2018-2030(i.e.,a 24%increase in the share of the national population with an annual income of ¥33 000-80 000 at constant 2018 prices),the consumption upgrade of the emerging middle-income groups would bring an additional carbon emission of 0.27-0.36 billion tons in 2030.Compared to the business-as-usual scenario,the mitigation rate needed to increase by 8%-11%to offset the emission increase.② In the case where only the impacts of income increases were considered,the emerging middle-income group′s carbon emissions were significantly lower than those of the original middle-income group(a difference of 0.2-0.3 t at the per-capita level).The gaps implied the potential to collaboratively achieve income growth and carbon emission control by climbing the income ladder.③ Compared with the scenarios of enhancing human capital and improving social security,the impact of carbon emissions brought by the emerging middle-income group under the urbanization scenario was greater.Moreover,the carbon emis-sion increment under policy mix scenarios was not equivalent to the sum of the effects brought about by independent policies.The mix of these policies showed synergetic or counterproductive effects,depending on the policy implementation context.The study suggests that timely seizing the plasticity in the consumption transformation of China′s middle-income group and guiding this group to low-car-bon lifestyles through improving urban infrastructure and other measures in the process of urbanization are key to collaboratively achiev-ing the goals of common prosperity and carbon neutrality.

middle-income groupcarbon footprintconsumption upgrademachine learning

郑馨竺、梁安妮、张雅欣、王灿

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中国石油大学(北京)经济管理学院,北京 102249

中交第一公路勘察设计研究院有限公司,陕西 西安 710068

清华大学环境学院,北京 100084

中等收入群体 碳足迹 消费升级 机器学习

国家自然科学基金青年项目国家自然科学基金面上项目国家自然科学基金-国际(地区)合作与交流项目中国石油大学(北京)科研基金资助

7190420172374210T22611294752462023QNXZ013

2024

中国人口·资源与环境
中国可持续发展研究会 山东省可持续发展中心 中国21世纪议程管理中心 山东师范大学

中国人口·资源与环境

CSTPCDCSSCI北大核心
影响因子:3.126
ISSN:1002-2104
年,卷(期):2024.34(1)
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