Evaluating the Effects of Renewable Energy Consumption on Carbon Emissions of China’s Provinces: Based on Spatial Durbin Model
Evaluating the Effects of Renewable Energy Consumption on Carbon Emissions of China’s Provinces: Based on Spatial Durbin Model
复制标题
评估可再生能源消费对中国各省碳排放的影响：基于空间杜宾模型
DOI：
10.3390/land11081316
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发表时间：
2022-08
期刊：
影响因子：
3.9
通讯作者：
Yulong Chen
中科院分区：
文献类型：
--
作者：
Yang Sun;Mengna Du;Leying Wu;Changzhe Li;Yulong Chen
可再生能源消费被认为是未来能源消费的主要形式。可再生能源产生的碳排放量可以近似忽略，可再生能源是区域可持续发展的必要条件。本研究利用面板数据的德宾模型，考察了1997 - 2017年中国30个省份可再生能源消费与碳排放之间的空间依赖关系。结果表明：1997-2011年，可再生能源消费量与碳排放量空间负相关，“高-低”区域主要集中在南方省份;可再生能源消费量重心向西南方向移动，与碳排放量重心一致;（3）可再生能源消费对局部区域碳排放具有显著的抑制作用，但空间溢出效应不显著。具体而言，一个地区可再生能源消费量每增加1%，碳排放量将减少0.05%。最后，在本文研究的基础上，提出了充分发挥西部地区可再生能源优势，进一步加快可再生能源产业发展的建议。
Renewable energy consumption is considered as the main form of energy consumption in the future. The carbon emissions produced by renewable energy can be approximately ignored, and renewable energy is essential for regional sustainable development. In this study, we used the Durbin model with panel data to explore the spatial dependence between renewable energy consumption the and carbon emissions of China’s 30 provinces from 1997 to 2017. The results show that: (1) there is a negative spatial correlation between renewable energy consumption and carbon emissions, and “High-Low” areas are mainly concentrated in southern provinces in 1997–2011; (2) the center of gravity of renewable energy consumption moves southwest, which is consistent with the center of gravity of carbon emissions; (3) renewable energy consumption has a significant inhibitory effect on carbon emissions of a local region, but the spatial spillover effect is not significant. Specifically, a 1% increase in renewable energy consumption in a region will reduce carbon emissions by 0.05%. Finally, on the basis of this study, it was proposed to give full play to the advantages of renewable energy in the western region, and further accelerate the development of the renewable energy industry.
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DOI：
10.3390/ijerph18083929
发表时间：
2021-04-08
影响因子：
--
作者：
Zhao J;Liu Q
通讯作者：
Liu Q
DOI：
--
发表时间：
2013
期刊：
--
影响因子：
--
作者：
Cheng Yeqin
通讯作者：
Cheng Yeqin
影响因子：
5.8
作者：
Naz, Saiqa;Sultan, Rashida;Abro, Muhammad Moinuddin Qazi
通讯作者：
Abro, Muhammad Moinuddin Qazi
影响因子：
5.8
作者：
Mohammed Musah-;Yusheng Kong;I. A. Mensah;S. Antwi;M. Donkor
通讯作者：
Mohammed Musah-;Yusheng Kong;I. A. Mensah;S. Antwi;M. Donkor
影响因子：
5.8
作者：
BREUSCH, TS;PAGAN, AR
通讯作者：
PAGAN, AR