Page 59 - Read Online
P. 59

Han et al. Carbon Footprints 2025, 4, 25                          Carbon Footprints
               DOI: 10.20517/cf.2025.18



               Original Article                                                              Open Access



               Minimizing inequality between methane emissions

               and economic variations in the Belt and Road
               countries


                           1
                                   1,2
                                               3
               Mengyao Han , Zidi Sun , Yuan Zhao , Bo Zhang 4
               1
                Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
               2
                School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, Hubei, China.
               3
                School of Management, China University of Mining & Technology (Beijing), Beijing 100083, China.
               4
                School of Management, China Institute for Studies in Energy Policy, Xiamen University, Xiamen 361005, Fujian, China.
               Correspondence to: Dr. Bo Zhang, School of Management, China Institute for Studies in Energy Policy, Xiamen University,
               Xiamen 361005, Fujian, China. E-mail: zhangbo@xmu.edu.cn
               How to cite this article: Han, M.; Sun, Z.; Zhao, Y.; Zhang, B. Minimizing inequality between methane emissions and economic
               variations in the Belt and Road countries. Carbon Footprints 2025, 4, 25. https://dx.doi.org/10.20517/cf.2025.18
               Received: 22 Apr 2025  First Decision: 19 Jun 2025  Revised: 25 Jul 2025  Accepted: 11 Sep 2025  Published: 26 Sep 2025

               Academic Editor: Hancheng Dai  Copy Editor: Fangling Lan   Production Editor: Fangling Lan

               Abstract
               The steady increase in global methane (CH ) emissions has recently drawn international attention. However, CH
                                                  4                                                      4
               emissions in countries along the Belt and Road (B&R) remain underexamined. This study applies a multi-regional
               input-output analysis to quantify production-based emissions (PBEs) and consumption-based emissions (CBEs)
               across China and 138 countries and economies within the B&R region. It further employs the Lorenz curve and Gini
               coefficient to assess inequality in CH  emissions across income groups in these countries and examines the degree
                                            4
               of decoupling between CH  emissions and economic variations. CH  emissions from B&R countries contributed
                                     4                                4
               significantly to the global total, with major contributions from energy- and resource-intensive sectors such as
               agriculture, petroleum, chemical and non-metallic mineral products, construction, financial intermediation, and
               commercial activities. Across the region, CBEs were consistently lower than PBEs but showed a stronger upward
               trend. Significant inequality in CH  emissions was observed, particularly in PBEs within high-income (H-H)
                                            4
               countries and CBEs within low-income (L-L) countries. Over time, the gap between PBEs and CBEs in H-H
               countries narrowed, suggesting positive changes in economic structures or consumption patterns. By analyzing the
               spatial and temporal evolution of CH  emissions, this study provides insights and policy recommendations for
                                              4
               reducing CH  emission inequality and developing effective mitigation strategies within the B&R region.
                         4
               Keywords: Belt and Road initiative, methane emissions, multi-regional input-output modeling, decoupling
               decomposition




                           © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
                           adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
               long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
               indicate if changes were made.

                                                                                         www.oaepublish.com/cf
   54   55   56   57   58   59   60   61   62   63   64