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首页> 外文期刊>Journal of Cleaner Production >Impacts of the natural gas infrastructure and consumption on fine particulate matter concentration in China's prefectural cities: A new perspective from spatial dynamic panel models
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Impacts of the natural gas infrastructure and consumption on fine particulate matter concentration in China's prefectural cities: A new perspective from spatial dynamic panel models

机译:地级市天然气基础设施和消费对细颗粒物浓度的影响:空间动态面板模型的新视角

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摘要

China has experienced increasingly deteriorating haze pollution characterized by high concentrations of fine particles during the last two decades, mainly caused by the coal-dominated energy structure. Natural gas is regarded as an effective alternative energy to tackle exacerbated air pollution. In this study, we investigated the impacts of natural gas infrastructures and consumption on the annual average PM2.5 concentrations covering 204 of China's prefecture-level cities during the period from 2008 to 2016. To take the potential spatial spillovers and dynamics of PM2.5 concentrations into consideration, the appropriate dynamic spatial econometric models were mainly utilized. The main findings of the study are that the deployment of natural gas pipelines and gas consumption can effectively mitigate the PM2.5 concentrations. The existence of a significant spatial correlation of PM2.5 concentrations at the city level implies that PM2.5 concentrations in different regions influence each other, especially PM2.5 hot-spots can disperse to the surrounding areas. Our results also emphasize that the environmental effect exhibits obvious heterogeneity in the user and regional aspects, and, since the results are relatively robust in various model specifications and subsamples, our findings hold significant implications for the Chinese PM2.5 alleviation policy. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在过去的二十年里,中国的雾霾污染日益恶化,其特征是高浓度的细颗粒物,主要是由以煤为主的能源结构引起的。天然气被认为是解决加剧的空气污染的有效替代能源。在这项研究中,我们调查了天然气基础设施和消费对2008年至2016年中国204个地级市的年平均PM2.5浓度的影响。考虑到浓度,主要利用适当的动态空间计量经济模型。该研究的主要发现是天然气管道的部署和天然气的消耗可以有效减轻PM2.5的浓度。在城市层面,PM2.5浓度存在显着的空间相关性,这意味着不同地区的PM2.5浓度会相互影响,尤其是PM2.5热点可以散布到周围地区。我们的结果还强调,环境影响在用户和区域方面表现出明显的异质性,并且由于结果在各种模型规范和子样本中都相对可靠,因此我们的发现对中国PM2.5缓解政策具有重要意义。 (C)2019 Elsevier Ltd.保留所有权利。

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