Heterogeneous effects of urbanization, economic growth, and energy consumption on carbon emissions in China: evidence from a PVAR model

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Yangyang Zhang, Wenxia Hong, Qiaran Huang, Chuanyu Liu
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引用次数: 1

Abstract

An improved level of urbanization may slow the problem of environmental degradation and achieve green economic development. This study examined the use of the panel vector autoregressive (PVAR) model in discussing the relationship between economic growth, urbanization, energy consumption, and carbon emissions based on annual data from 30 Chinese provinces (municipalities and autonomous regions) for the period of 2000–2019. Meanwhile, the short- and long-term dynamics of urbanization, economic growth, and carbon emissions are better captured by using impulse response function tools. The PVAR model is able to perfectly solve the problem of endogeneity between variables, which has been mostly ignored in the energy environment literature. The results of the study are as follows. First, urbanization has the strongest impact on carbon emissions in the eastern region and a weaker impact on other regions. The impact of economic growth on environmental quality lessens gradually from the western and north-eastern regions to the central region and then the eastern region, with a clear regional gradient. Second, the causal relationships between urbanization and carbon emissions and between energy consumption and carbon emissions are unidirectional and significant only in the eastern region. All four regions have a unidirectional causal relationship between economic growth and carbon emissions. Unidirectional causality between urbanization and economic growth exists in the eastern, western, and north-eastern regions. Third, the impulse response results show that urbanization has more short-term than long-term effects on carbon emissions in the eastern region, both long- and short-term effects in the west and north-east, and only short-term effects in the central region. Economic growth and energy consumption in the central and north-eastern regions improve environmental quality in the short term until the third lag period, which shows the beginning of deteriorating environmental quality.

Abstract Image

中国城市化、经济增长和能源消费对碳排放的异质性影响:来自PVAR模型的证据
提高城市化水平可以减缓环境恶化的问题,实现绿色经济发展。本研究基于2000-2019年中国30个省(市、自治区)的年度数据,运用面板向量自回归(PVAR)模型探讨了经济增长、城市化、能源消费和碳排放之间的关系。同时,利用脉冲响应函数工具可以更好地捕捉城市化、经济增长和碳排放的短期和长期动态。PVAR模型能够很好地解决变量间的内生性问题,而这一问题在能源环境文献中往往被忽略。研究结果如下:首先,城市化对东部地区碳排放的影响最大,对其他地区的影响较弱。经济增长对环境质量的影响从西部和东北部到中部再到东部逐渐减弱,具有明显的区域梯度。其次,城市化与碳排放、能源消费与碳排放之间的因果关系是单向的,且仅在东部地区显著。所有四个地区的经济增长与碳排放之间都存在单向因果关系。东部、西部和东北地区城市化与经济增长之间存在单向因果关系。第三,脉冲响应结果表明,城镇化对东部地区碳排放的短期影响大于长期影响,西部和东北地区既有长期影响,也有短期影响,中部地区只有短期影响。中东北地区经济增长和能源消费在短期内改善了环境质量,直到第三个滞后期,环境质量开始恶化。
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来源期刊
Air Quality Atmosphere and Health
Air Quality Atmosphere and Health ENVIRONMENTAL SCIENCES-
CiteScore
8.80
自引率
2.00%
发文量
146
审稿时长
>12 weeks
期刊介绍: Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health. It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes. International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals. Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements. This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.
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