Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.enpol.2018.01.005 |
Transmission mechanism between energy prices and carbon emissions using geographically weighted regression | |
Li, Wei1; Sun, Wen1,3; Li, Guomin1; Jin, Baihui1; Wu, Wen1; Cui, Pengfei1; Zhao, Guohao2 | |
2018-04-01 | |
发表期刊 | ENERGY POLICY
![]() |
ISSN | 0301-4215 |
EISSN | 1873-6777 |
出版年 | 2018 |
卷号 | 115页码:434-442 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | This work quantifies the conduction mechanism of energy prices on carbon emissions and carbon intensity from the perspective of space and quantile. Taking China's Eight Economic Regions as an example, we explore how to optimize energy price policy to promote regional carbon reduction by combining the GWR model, quantile regression and scenario analysis. The study finds that (1)the energy prices can promote or suppress carbon emissions and carbon intensity through five variables, including economic development, industrial structure, energy efficiency, energy investment and energy consumption etc.(2) the current energy investment and consumption structure lead to a high level of carbon emissions, while such effect from economic development is relatively limited, and the influence direction and level of industrial structure and energy efficiency on carbon emissions are regionally different. (3) with the exception of the energy consumption structure, four other factors have varying restraining effects on carbon intensity, and (4) scenario analysis shows that optimizing industrial and energy consumption structure are crucial to reduce carbon emissions, and optimizing industrial structure helps to reduce carbon intensity. Finally, this paper proposes policy suggestions, aiming to realize regional carbon reductions by using price leverage. |
英文关键词 | Energy price Carbon emissions GWR Model Transmission mechanism |
领域 | 气候变化 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000428099800043 |
WOS关键词 | ECONOMIC-GROWTH ; DIOXIDE EMISSIONS ; OIL PRICES ; EFFICIENCY EVIDENCE ; CO2 EMISSION ; CHINA ; CONSUMPTION ; INTENSITY ; URBANIZATION ; INVESTMENT |
WOS类目 | Economics ; Energy & Fuels ; Environmental Sciences ; Environmental Studies |
WOS研究方向 | Business & Economics ; Energy & Fuels ; Environmental Sciences & Ecology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/18850 |
专题 | 气候变化 |
作者单位 | 1.Taiyuan Univ Technol, Sch Econ & Managemen4, Taiyuan 030024, Peoples R China; 2.Shanxi Univ Finance & Econ, Sch Econ & Management, Taiyuan 030006, Peoples R China; 3.City Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518057, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Wei,Sun, Wen,Li, Guomin,et al. Transmission mechanism between energy prices and carbon emissions using geographically weighted regression[J]. ENERGY POLICY,2018,115:434-442. |
APA | Li, Wei.,Sun, Wen.,Li, Guomin.,Jin, Baihui.,Wu, Wen.,...&Zhao, Guohao.(2018).Transmission mechanism between energy prices and carbon emissions using geographically weighted regression.ENERGY POLICY,115,434-442. |
MLA | Li, Wei,et al."Transmission mechanism between energy prices and carbon emissions using geographically weighted regression".ENERGY POLICY 115(2018):434-442. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论