Abstract

Measuring the value chain carbon footprints of listed companies is essential for cumulative climate actions and climate-efficient capital allocation. We trace the carbon emissions embodied in the value chains of Chinese listed companies and find that there is an increasing trend in terms of the carbon footprints of listed companies over the period 2010–2019. In 2019, the direct emissions from these companies reached 1.9 billion tonnes, accounting for 18.3% of national emissions. The indirect emissions were well over twice as large as the direct emissions from 2010 to 2019. Energy, construction and finance companies tend to have a greater volume of value chain carbon footprints, yet the distribution of their carbon footprints varies significantly. Finally, we apply the results to evaluate the financed emissions of leading asset managers’ equity portfolio investment in China’s stock market.

A paper led by Prof. Zhang evaluates the value chain carbon footprints of Chinese listed companies. The results could encourage collaborative climate actions along value chains and help investors understand the environmental impacts of their investment.

Details

Title
Value chain carbon footprints of Chinese listed companies
Author
Zhang, Zengkai 1 ; Li, Jiaoyan 2 ; Guan, Dabo 3   VIAFID ORCID Logo 

 Xiamen University, State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen, China (GRID:grid.12955.3a) (ISNI:0000 0001 2264 7233) 
 Tianjin University, College of Management and Economics, Tianjin, China (GRID:grid.33763.32) (ISNI:0000 0004 1761 2484) 
 Tsinghua University, Department of Earth System Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178); University College London, The Bartlett School of Construction and Project Management, London, UK (GRID:grid.83440.3b) (ISNI:0000000121901201) 
Pages
2794
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2814206717
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.