Literature DB >> 33180286

Structural and technological determinants of carbon intensity reduction of China's electricity generation.

Yuhuan Zhao1,2, Ye Cao3,4,5, Xunpeng Shi6, Zhonghua Zhang7, Wenjie Zhang6,8.   

Abstract

Electricity generation is the largest sector with decarbonization potential for China and the world. Based on the new emission factors, this paper aims to identify the structural and technological determinants of provincial carbon intensity in the electricity generation sector (CIE) using the multiplicative LMDI-II method. Results demonstrate that (1) China's overall CIE decreases by 7.3% in 2001-2015, and the research period can be divided into four stages according to CIE changes (i.e., rapid growth, rapid decline, slow growth, and transition). The CIE in the 12th FYP estimated in this paper, 24.9% lower than that using the emission factors from IPCC, is closer to China's actual situation. (2) There exists huge heterogeneity in the determinants of provincial CIE changes in four stages. CIE growth in the Northwest and Northeast is caused by the coal-dominated energy structure. CIE growth in the Southwest is attributed to the electricity structure effect, while that of the Coast region is caused by the geographic distribution effect. The electricity efficiency effect is attributed to the CIE growth for these regions and the Southwest should also place focus on the electricity trade effect. The impact of electricity trade-related factors depends on the region being a net exporter or importer of electricity. (3) To achieve carbon intensity reduction targets, 30 provinces are categorized into four types based on various combinations of structural and technological determinants. The findings provide insights into capturing future emission-mitigating focus as well as defining the emission-mitigating responsibilities between electricity exporters and importers in China.

Entities:  

Keywords:  Carbon intensity; Electricity generation; Structural determinants; Technological determinants

Year:  2020        PMID: 33180286     DOI: 10.1007/s11356-020-11429-0

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  3 in total

1.  What Cause Large Spatiotemporal Differences in Carbon Intensity of Energy-Intensive Industries in China? Evidence from Provincial Data during 2000-2019.

Authors:  Xin Xu; Yuming Shen; Hanchu Liu
Journal:  Int J Environ Res Public Health       Date:  2022-08-17       Impact factor: 4.614

2.  The COVID-19 pandemic and energy transitions: Evidence from low-carbon power generation in China.

Authors:  Kai Li; Shaozhou Qi; Xunpeng Shi
Journal:  J Clean Prod       Date:  2022-07-08       Impact factor: 11.072

3.  Examining the Effects of Installed Capacity Mix and Capacity Factor on Aggregate Carbon Intensity for Electricity Generation in China.

Authors:  Shiping Ma; Qianqian Liu; Wenzhong Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-03-15       Impact factor: 3.390

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.