High household end-user services demand of high-income families results in higher energy consumption compared with low-income families, indicating high-income families may save more energy from similar building energy retrofitting (BER) strategies. Therefore, current BER subsidy policies, which consider technique indicators and ignore families' income, will make high-income families' recovery costs faster, and can't maximize the incentive for residents’ BER awareness. To formulate a equitable and efficient subsidy policies considering families’ income, this study selected Chongqing as the study case and employed propensity scores matching method to evaluate BER's actual energy savings performance for families with different incomes. Meanwhile, the BER subsidies are reallocated based on the dynamic cost payback period. The results indicated that, following BER, the energy savings of high-income families (7.36 kWh/m²) were higher than the mid- (3.96 kWh/m²) and low-income (3.25 kWh/m²) families. Notably, under current subsidy policies, the cost payback period of low-income families is nearly 2.55 and 3.14 times of the mid-income (6.61 years) and high-income (5.37 years) groups, respectively. This study suggests a subsidy of 32.57 yuan/m², 20.27 yuan/m², and 15.38 yuan/m² for low-income, mid-income, and high-income families, respectively. These results provide novel insights into the actual energy-saving performance of residential buildings and help policymakers to formulate fair subsidy policies.

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The CO₂ emission mitigation of the commercial and public building sector (P&C) is critical for achieving China's carbon peak and carbon neutrality. Analyzing changes in CO₂ emissions and their driving factors from temporal and spatial perspective provides insights for developing equitable and effective decarbonization strategies. This study investigated the change in temporal trend and spatial distribution of CO₂ emissions of China's P&C during period of 2005–2018 according to the Kaya identify and Gravity Center model. Meanwhile, combined with the Logarithmic Mean Divisia Index, this study proposed a decomposed method to identify the driving factor of the movement of the gravity center. The results showed that: 1) in the temporal dimension, China's P&C has still not achieved its CO₂ emissions peak, arriving 820.68 MtCO₂. The most positive and negative driving factors were per capita add value of tertiary industry and energy efficiency, respectively; 2) in the spatial dimension, during the 13th Five Year Plan period, the gravity center moved southwestward, and the most positive and negative driving factors were energy consumption unit area and energy efficiency, respectively; Besides, to accelerate the decarbonization of China's P&C, this study reviewed the main decarbonization strategies, divided them into six categories and provided policy implications. In summary, this study provides a completed assessment on CO₂ emission changes of China's P&C, facilitating policy-makers to develop more reasonable implementation plans for emission mitigation.

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Green building (GB) has been actively promoted in many countries, but it has not become the mainstream in Chinese construction industry due to various reasons. This paper aims to investigate the major driving factors for the development of GB with reference of the Chinese construction market. Twenty-one factors influencing the development of GB were identified through a literature review, questionnaire survey, and face-to-face interview with professionals in the construction industry. Structural equation model was established to identify the critical driving path and three critical factors hierarchies. The result of model analysis also verifies the theoretical hypotheses that government body is the biggest motivation for the development of GB, and the path coefficient is high. The results demonstrate the necessity for the formulation of incentive policies and power of GB propaganda. We identify distinct government and market effects and then induce a government-led GB development path. These findings provide a valuable reference for government body aiming at promoting GB in the construction industry to put forward relevant policies and incentives and for the market body to understand the major driving factors and path when making decisions.@en