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DOI10.3390/su16031024
Green Consumption, Environmental Regulation and Carbon Emissions-An Empirical Study Based on a PVAR Model
发表日期2024
EISSN2071-1050
起始页码16
结束页码3
卷号16期号:3
英文摘要China's proposed double carbon goal makes it urgent to promote green consumption and green lifestyles. The present study selected separate economic indicators of urban and rural areas and assigned different weights in the construction of a green consumption indicator system. Based on data from 30 provinces (excluding Tibet) between 2003 and 2019, this study investigated the connections between green consumption, environmental regulations, and carbon emissions, analyzing their mechanism. This study found that green consumption will reduce anthropogenic carbon emissions in the short term but will result in low carbon emissions in the long term. Environmental rules have a definite long-term impact on green consumption, as evidenced by the U-shaped trend they follow. Second, this study found that the level of green consumption exhibits a rising and then falling trend on the vegetation's capacity to sequester carbon, and the impeding force will become stronger over time. Third, this study found that green consumption innately has a degree of inertia and self-enhancement bias.
英文关键词green consumption; environmental regulation; carbon emissions; green consumption index; PVAR model
语种英语
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS记录号WOS:001160232700001
来源期刊SUSTAINABILITY
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/292997
作者单位Dalian Maritime University
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GB/T 7714
. Green Consumption, Environmental Regulation and Carbon Emissions-An Empirical Study Based on a PVAR Model[J],2024,16(3).
APA (2024).Green Consumption, Environmental Regulation and Carbon Emissions-An Empirical Study Based on a PVAR Model.SUSTAINABILITY,16(3).
MLA "Green Consumption, Environmental Regulation and Carbon Emissions-An Empirical Study Based on a PVAR Model".SUSTAINABILITY 16.3(2024).
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