Identification of key industries of provincial carbon emissions in China based on inter-layer association of multi-layer network

Author:

xu lipeng1,Wang wenping1

Affiliation:

1. Southeast University

Abstract

Abstract

It is crucial for China to achieve the dual-carbon goal by precisely identifying key industries of carbon emissions and achieving orderly and coordinated synergistic emission reduction across provinces. Unlike the existing research and practice on key industries of carbon emissions, which ignore provincial differences, this paper takes into account the flow characteristics of products and services in industries within provinces as well as the differential characteristics in the level of economic development and social factors among provinces and constructs a multi-layer network model of carbon emissions based on the provincial-level input-output data of China in 2012, 2015 and 2017. Moreover, we improve the PageRank algorithm to rank the importance of nodes in the multi-layer network. The empirical results indicate that China’s top-ranking industries of carbon emission include high-carbon industries such as metal smelting and chemical industry, which are mainly distributed in provinces such as Hebei and Liaoning. Meanwhile, the production and supply industries of electric power and heat has gradually evolved into key industries of carbon emissions in most provinces of China due to its distinctions in fundamentals, livelihood, and high technology content. In addition, unlike provinces with relatively lower carbon emission intensity, such as Beijing and Shanghai, provinces with comparatively higher carbon emission intensity, such as Ningxia and Inner Mongolia, have key industries of carbon emissions such as electronics, machinery manufacturing industry and transportation. The conclusions of this research provide theoretical support for precise synergistic emission reduction strategies in various Chinese provinces.

Publisher

Research Square Platform LLC

Reference30 articles.

1. The diameter of the world wide web;Albert R;Nature,1999

2. A Graph-theoretic perspective on centrality;Borgatti SP;Soc Networks,2006

3. The anatomy of a large-scale hypertextual Web search engine;Brin S;Comput Networks ISDN Syst,1998

4. Galactic stellar and substellar initial mass function;Chabrier G;Publ Astron Soc Pac,2003

5. Energy Consumption, CO2 Emission and Sustainable Development in Chinese Industry;Chen SY;Econ Res J,2009

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3