Literature DB >> 30659993

Realizing low-carbon development in a developing and industrializing region: Impacts of industrial structure change on CO2 emissions in southwest China.

Xin Tian1, Fuli Bai2, Jinhu Jia3, Yang Liu2, Feng Shi4.   

Abstract

China is undergoing rapid industrial structure change, resulting in great disparities in industrialization stages and CO2 emission patterns across regions. In this study, we focused on the southwest economic zone (including Chongqing, Sichuan, Guangxi, Yunnan, and Guizhou), which is in the middle-industrialization stage and aims to mitigate CO2 emissions during strategic industrial transformation. We applied a framework with refined indicators based on input-output analysis (IOA) and structural decomposition analysis (SDA) to characterize and quantify the impact of industrial structure change on CO2 emissions during 2002-2012. In this period, construction ranked first in CO2 emission due to relatively high-carbon production structure and increasing share in final demand, which increased construction related CO2 emissions. Furthermore, we found that diversification in development and competitive industries had different impacts on CO2 emission trends. Yunnan and Guizhou experienced a transition from light manufacturing to resource-related manufacturing; therefore, CO2 emissions in resource-related manufacturing showed an increasing trend due to the extensive production structure in the two provinces, while it showed a decreasing trend in the other three provinces. Moreover, Chongqing, Sichuan, and Guangxi showed an apparent expansion trend in machinery manufacturing and related CO2 emissions, driven by investment, final demand structure, and production structure changes. Meanwhile, this zone avoided large-scale CO2 emissions in these sectors through net imports, by making good use of geographical advantages and trade structure. The CO2 emissions of the service sectors showed increasing trends due to increasing proportions in consumption structure and final demand structure. Furthermore, this led to a transition from consumer services to producer services with expansion. Among the five provinces, Chongqing had the lowest-carbon development pattern, owing to its higher technical levels of manufacturing and relatively lower-carbon production structure, which could be a reference point for rapid low-carbon economic development under middle industrialization for the other provinces or regions with the similar industrial characteristics.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CO(2) emissions; China; Industrial structure change; Industrialization; Input-output analysis; Structural decomposition analysis

Mesh:

Substances:

Year:  2019        PMID: 30659993     DOI: 10.1016/j.jenvman.2018.11.078

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  9 in total

1.  Economic Growth Targets and Carbon Emissions: Evidence from China.

Authors:  Keliang Wang; Bin Zhao; Tianzheng Fan; Jinning Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-06-30       Impact factor: 4.614

2.  Analysis of carbon emissions from land cover change during 2000 to 2020 in Shandong Province, China.

Authors:  Linye Zhu; Huaqiao Xing; Dongyang Hou
Journal:  Sci Rep       Date:  2022-05-16       Impact factor: 4.996

3.  To examine environmental pollution by economic growth and their impact in an environmental Kuznets curve (EKC) among developed and developing countries.

Authors:  YuSheng Kong; Rabnawaz Khan
Journal:  PLoS One       Date:  2019-03-26       Impact factor: 3.240

4.  Global Industrial Development: Insights From the Distribution Dynamics Approach for the Post Covid Era.

Authors:  Ning Ma; Wai Yan Shum; Tingting Han; Tsun Se Cheong
Journal:  Front Public Health       Date:  2021-11-23

5.  Driving factors of carbon emissions in China's municipalities: a LMDI approach.

Authors:  Yuanxin Liu; Yajing Jiang; Hui Liu; Bo Li; Jiahai Yuan
Journal:  Environ Sci Pollut Res Int       Date:  2021-11-12       Impact factor: 5.190

6.  Landscape Pattern and Ecological Risk Assessment in Guangxi Based on Land Use Change.

Authors:  Yanping Yang; Jianjun Chen; Yanping Lan; Guoqing Zhou; Haotian You; Xiaowen Han; Yu Wang; Xue Shi
Journal:  Int J Environ Res Public Health       Date:  2022-01-30       Impact factor: 3.390

7.  College Students' Mental Health Support Based on Fuzzy Clustering Algorithm.

Authors:  Zengliu Xu
Journal:  Contrast Media Mol Imaging       Date:  2022-08-16       Impact factor: 3.009

8.  Effects of the Digital Economy on Carbon Emissions: Evidence from China.

Authors:  Zhichuan Zhu; Bo Liu; Zhuoxi Yu; Jianhong Cao
Journal:  Int J Environ Res Public Health       Date:  2022-08-02       Impact factor: 4.614

9.  Special Economic Zone, Carbon Emissions and the Mechanism Role of Green Technology Vertical Spillover: Evidence from Chinese Cities.

Authors:  Jieping Chen; Xianpeng Long; Shanlang Lin
Journal:  Int J Environ Res Public Health       Date:  2022-09-13       Impact factor: 4.614

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.