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Does Interregional Trade Lead to a Shift in CH4 Emissions? A Study Based on a Multi-Region Input-Output Model and Structural Path Analysis

  • Yujie Wang (王宇杰) 1,*,   
  • Tongsen Hao (郝同森) 1,   
  • Muyao Qin (秦沐瑶) 1,*,   
  • Xinru Wang (王欣茹) 2,   
  • Qing Miao (苗青) 3,   
  • Liwei Jin (靳立伟) 1,   
  • Xiao Gu (顾笑) 4

Received: 04 Jul 2026 | Revised: 17 Jul 2026 | Accepted: 01 Aug 2026 | Published: 06 Aug 2026

Abstract

As global climate change intensifies, the need to reduce emissions of methane (CH4), a potent short-lived greenhouse gas, is becoming increasingly urgent. As the world’s largest emitter of CH4, China urgently needs to conduct indepth research into the CH4 emissions associated with interprovincial trade. This study first established a methane emission accounting model covering energy activities, waste and wastewater, and agricultural activities, and estimated CH4 emissions for China’s 31 provinces from 2012 to 2022. Building on this foundation, the study integrated methods such as multi-region input-output modeling, sectoral decomposition, structural path analysis, and sensitivity analysis to conduct an indepth investigation into the patterns of CH4 transfers implied by interprovincial trade in China in 2017, quantify indirect CH4 emissions from household consumption in China, and identify key sectors and pathways for emissions reductions across different industrial sectors. The key findings are as follows: (1) From 2012 to 2022, China’s annual CH4 emissions averaged 58.1738 million metric tons, exhibiting a fluctuating trend characterized by a decline followed by an increase. (2) Interprovincial trade had a significant impact on China’s CH4 emissions. CH4 emissions have shifted from east to west and from coastal to inland regions. There are marked differences in the total volume and structure of CH4 emissions from both the production and consumption sides across provinces, with Zhejiang Province (3.022 million metric tons), Jiangsu Province (2.7337 million metric tons), and Guangdong Province (2.388 million metric tons) accounting for the largest outflows. (3) In 2017, indirect CH4 emissions from household consumption were primarily concentrated in the first four industrial levels (PL0~PL3), mainly originating from four sectors: construction (S28), food and tobacco (S6), agricultural, forestry, livestock, and fishery products and services (S1), and water, environmental, and public facility management (S37). (4) At the 0th industrial level, key pathways for reducing indirect CH4 emissions from household consumption include the sectors of agricultural, forestry, livestock, and fishery products and services, and water, environmental, and public infrastructure management. At the 1st to 3rd industrial levels, there are 10 key pathways for emission reductions, and a distinct “sectoral aggregation” phenomenon is observed. Finally, relevant policy recommendations are proposed to provide a scientific basis for CH4 emission reductions at the provincial level in China.

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Wang (王宇杰), Y.; Hao (郝同森), T.; Qin (秦沐瑶), M.; Wang (王欣茹), X.; Miao (苗青), Q.; Jin (靳立伟), L.; Gu (顾笑), X. Does Interregional Trade Lead to a Shift in CH4 Emissions? A Study Based on a Multi-Region Input-Output Model and Structural Path Analysis. ASTRA MAN 2026, 1 (1), 4.
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