Literature DB >> 30852204

Comparative study on the influence of final use structure on carbon emissions in the Beijing-Tianjin-Hebei region.

Jing-Li Fan1, Zhe Cao2, Xian Zhang3, Jian-Da Wang2, Mian Zhang2.   

Abstract

The Beijing-Tianjin-Hebei region's rapid economic development has led to a dramatic increase in its CO2 emissions, which is closely related to various regions' consumption habits and structures. In this paper, the decomposition analysis method based on input and output (IO-SDA) was applied to decompose the CO2 emissions change of the Beijing-Tianjin-Hebei region from 1997 to 2012 into five driving factors: population, carbon emission efficiency, production structure, final use structure and per capita regional GDP, and then the final use structure factor was further analyzed. The results show that: (1) the population and per capita regional GDP promote the CO2 emissions of all regions; Carbon emission efficiency is the biggest offsetting factor; The effect of final use structure changes on the growth of CO2 emissions in Beijing and Hebei remains unchanged. The effect on Tianjin was from 0.7Mt offset to 0.8Mt promotion. (2) Urban household consumption is the most important factor offsetting CO2 emissions in Beijing. Investment and export are the most important final use types for promoting the growth of CO2 emissions in Tianjin and Hebei, with the contribution of 95.78% and 88.09%, respectively. (3) From the sectoral perspective: The construction sector has the greatest impact on the total capital formation of the three regions. In terms of exports, Beijing's tertiary industry has the largest offsetting effect, while Tianjin and Hebei mainly rely on the promotion of metal smelting and other manufacturing industries. Finally, some policy implications for low carbonization are proposed in the Beijing-Tianjin-Hebei region.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Final use structure; Input-output model; Regional difference; SDA decomposition

Year:  2019        PMID: 30852204     DOI: 10.1016/j.scitotenv.2019.02.363

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  PM2.5 Cooperative Control with Fuzzy Cost and Fuzzy Coalitions.

Authors:  Zhen Zhou; Meijia Zhang; Xiaohui Yu; Xijun He; Kang Wang; Quan Shao; Jie Wang; Hongxia Sun
Journal:  Int J Environ Res Public Health       Date:  2019-04-09       Impact factor: 3.390

2.  What Are the Driving Forces of Urban CO2 Emissions in China? A Refined Scale Analysis between National and Urban Agglomeration Levels.

Authors:  Hui Wang; Guifen Liu; Kaifang Shi
Journal:  Int J Environ Res Public Health       Date:  2019-09-30       Impact factor: 3.390

3.  Spatio-Temporal Heterogeneity of Carbon Emissions and Its Key Influencing Factors in the Yellow River Economic Belt of China from 2006 to 2019.

Authors:  Jingxue Zhang; Yanchao Feng; Ziyi Zhu
Journal:  Int J Environ Res Public Health       Date:  2022-03-31       Impact factor: 3.390

4.  A Hybrid Framework for Direct CO2 Emissions Quantification in China's Construction Sector.

Authors:  Adedayo Johnson Ogungbile; Geoffrey Qiping Shen; Ibrahim Yahaya Wuni; Jin Xue; Jingke Hong
Journal:  Int J Environ Res Public Health       Date:  2021-11-15       Impact factor: 3.390

5.  Quantifying the Impact of Urban Form and Socio-Economic Development on China's Carbon Emissions.

Authors:  Cheng Huang; Yang Qu; Lingfang Huang; Xing Meng; Yulong Chen; Ping Pan
Journal:  Int J Environ Res Public Health       Date:  2022-03-03       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.