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<p>A fair and effective carbon allocation scheme is crucial to achieving carbon emission (CE) reduction, and there is a research gap in the allocation of CE from large and fast-growing public buildings (PB). This study proposes CE targets for PB in China based on shared socioeconomic pathways (SSPs), and explores the optimal carbon allowances from a tertiary industry perspective. Meanwhile, the optimal carbon allowances for PB across 30 provinces in China are suggested at the industry level. The findings reveal that CE from PB in the transportation, storage and postal service industry (TSP) are expected to peak in 2024 under the SSP1 and SSP2 scenarios, with Shandong receiving the largest quotas. In the wholesale and retail, accommodation, and catering industry (WRAC), CE from PB are projected to peak in 2022 under SSP1, SSP2, SSP3, and SSP4 scenarios, with Jiangsu receiving the most allowances. For other services industry (OS), under the SSP1 scenario, CE from PB can reach the peak in 2027 with the smallest growth rate, with Guangdong receiving the highest quotas. The study identifies key factors influencing CE from PB across various industries and provides appropriate policy recommendations for carbon allowances.</p>

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Allocation of carbon emissions from public buildings in China under the shared socioeconomic pathways: a tertiary industry perspective

  • 期刊论文

  • 发表日期：

    2025年1月22日

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  • Lei Gan,
  • Zhuyin Lu,
  • Weiguang Cai

摘要

A fair and effective carbon allocation scheme is crucial to achieving carbon emission (CE) reduction, and there is a research gap in the allocation of CE from large and fast-growing public buildings (PB). This study proposes CE targets for PB in China based on shared socioeconomic pathways (SSPs), and explores the optimal carbon allowances from a tertiary industry perspective. Meanwhile, the optimal carbon allowances for PB across 30 provinces in China are suggested at the industry level. The findings reveal that CE from PB in the transportation, storage and postal service industry (TSP) are expected to peak in 2024 under the SSP1 and SSP2 scenarios, with Shandong receiving the largest quotas. In the wholesale and retail, accommodation, and catering industry (WRAC), CE from PB are projected to peak in 2022 under SSP1, SSP2, SSP3, and SSP4 scenarios, with Jiangsu receiving the most allowances. For other services industry (OS), under the SSP1 scenario, CE from PB can reach the peak in 2027 with the smallest growth rate, with Guangdong receiving the highest quotas. The study identifies key factors influencing CE from PB across various industries and provides appropriate policy recommendations for carbon allowances.