Low carbon buildings and regional prosperity: the economic growth effects of energy efficiency and environmental performance in China’s Construction industry

This study employs capital, labor, and energy as input variables, with provincial GDP as the desired output and CO2 emissions as the undesired output. Within the total factor productivity framework, two energy efficiency indices – energy economic efficiency and energy-environmental performance – are defined using the Data Envelopment Analysis (DEA) method. Utilizing a non-radial, non-angle Slacks-Based Measure (SBM) model, the study calculates these indices and their decomposition for Chinese provinces from 2004 to 2023, analyzing their evolution and regional disparities. Based on the Environmental Kuznets Curve (EKC) theory, the paper examines the relationship between energy efficiency indices, their decomposition, and regional economic growth. Results indicate that China’s overall energy efficiency indices were relatively low during the sample period, with significant regional disparities and potential for energy conservation and emission reduction. A non-linear relationship (either inverted U-shaped or U-shaped) was observed between these indices and economic growth. Industrial structure, population density, energy structure, and foreign capital utilization significantly affected both energy efficiency indices, though the mechanisms varied.

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Publication Details

Journal
Journal of Asian Architecture and Building Engineering
Published
2025-11-06
DOI
https://doi.org/10.1080/13467581.2025.2584896
Primary Topic
Efficiency Analysis Using DEA
Type
article
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Low carbon buildings and regional prosperity: the economic growth effects of energy efficiency and environmental performance in China’s Construction industry

Ning Zhang, Xiumei Gao, Kaili Li, Z. Y. Zheng
Journal of Asian Architecture and Building Engineering
Efficiency Analysis Using DEA
article

Low carbon buildings and regional prosperity: the economic growth effects of energy efficiency and environmental performance in China’s Construction industry

Ning Zhang, Xiumei Gao, Kaili Li, Z. Y. Zheng
article en

Abstract

This study employs capital, labor, and energy as input variables, with provincial GDP as the desired output and CO2 emissions as the undesired output. Within the total factor productivity framework, two energy efficiency indices – energy economic efficiency and energy-environmental performance – are defined using the Data Envelopment Analysis (DEA) method. Utilizing a non-radial, non-angle Slacks-Based Measure (SBM) model, the study calculates these indices and their decomposition for Chinese provinces from 2004 to 2023, analyzing their evolution and regional disparities. Based on the Environmental Kuznets Curve (EKC) theory, the paper examines the relationship between energy efficiency indices, their decomposition, and regional economic growth. Results indicate that China’s overall energy efficiency indices were relatively low during the sample period, with significant regional disparities and potential for energy conservation and emission reduction. A non-linear relationship (either inverted U-shaped or U-shaped) was observed between these indices and economic growth. Industrial structure, population density, energy structure, and foreign capital utilization significantly affected both energy efficiency indices, though the mechanisms varied.

Journal of Asian Architecture and Building Engineering
Universiti Putra Malaysia (MY), East China Jiaotong University (CN), University of International Business and Economics (CN), Nanfang Hospital (CN), Nanfang College Guangzhou, Macao Polytechnic University (MO)
Openalex Percentile: Top 62%
Efficiency Analysis Using DEA
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Low carbon buildings and regional prosperity: the economic growth effects of energy efficiency and environmental performance in China’s Construction industry — Ning Zhang, Xiumei Gao, et al. · Journal of Asian Architecture and Building Engineering (2025) | TGRS Research Map | TGRS