Estimating shadow price of CO2 emissions in China’s construction industry under policy regulations

The marginal abatement cost (MAC) of CO 2 emissions is one of the most critical indicators used to assess energy conservation and emission reduction. Although extensively measured, few studies have incorporated the influence of policy constraints when evaluating MAC. To address this gap, this paper proposes a nonparametric directional distance function approach under policy regulations to estimate the CO 2 shadow price in the construction industry across 30 Chinese provinces from 2010 to 2017. Based on this enhanced method, four key findings emerge: ① the annual CO 2 shadow price exhibits an overall upward trend during the observation period; ② regional shadow prices display marked variation across provinces; ③ regional heterogeneity in shadow prices has increased steadily over time; and ④ both urbanization rate and energy consumption per unit of gross domestic product are significantly negatively correlated with the CO 2 shadow price. Finally, the paper offers several policy recommendations for CO 2 emissions reduction in the Chinese construction industry at the national, industry, and enterprise levels.

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Publication Details

Journal
Chinese Journal of Population Resources and Environment
Published
2025-12-01
DOI
https://doi.org/10.1016/j.cjpre.2025.10.008
Primary Topic
Energy, Environment, Economic Growth
Type
article
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article

Estimating shadow price of CO2 emissions in China’s construction industry under policy regulations

Mingyue Wang, Xiaoxiao Liu
Chinese Journal of Population Resources and Environment
Energy, Environment, Economic Growth
article

Estimating shadow price of CO2 emissions in China’s construction industry under policy regulations

Mingyue Wang, Xiaoxiao Liu
article en

Abstract

The marginal abatement cost (MAC) of CO 2 emissions is one of the most critical indicators used to assess energy conservation and emission reduction. Although extensively measured, few studies have incorporated the influence of policy constraints when evaluating MAC. To address this gap, this paper proposes a nonparametric directional distance function approach under policy regulations to estimate the CO 2 shadow price in the construction industry across 30 Chinese provinces from 2010 to 2017. Based on this enhanced method, four key findings emerge: ① the annual CO 2 shadow price exhibits an overall upward trend during the observation period; ② regional shadow prices display marked variation across provinces; ③ regional heterogeneity in shadow prices has increased steadily over time; and ④ both urbanization rate and energy consumption per unit of gross domestic product are significantly negatively correlated with the CO 2 shadow price. Finally, the paper offers several policy recommendations for CO 2 emissions reduction in the Chinese construction industry at the national, industry, and enterprise levels.

Chinese Journal of Population Resources and EnvironmentVol. 23(4)
Chinese Academy of Sciences (CN), Institutes of Science and Development (CN), China National Institute of Standardization (CN)
Sustainable cities and communities
Openalex Percentile: Top 21%
Energy, Environment, Economic Growth
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Estimating shadow price of CO2 emissions in China’s construction industry under policy regulations — Mingyue Wang, Xiaoxiao Liu · Chinese Journal of Population Resources and Environment (2025) | TGRS Research Map | TGRS