Article
Green & Sustainable Science & Technology
Ken Sun, Jingmin Han, Weidong Sun, Tianshu Yan, Chang Liu, Zhenzhen Yang, Wenbo He, Weisheng Xie
Summary: Under the promotion of China's double carbon policy, China's construction industry is facing pressure to reduce CO2 emissions. Evaluating the CO2 emissions efficiency in China's construction industry is crucial for promoting China's high-quality green development. The study found that the overall CO2 emissions efficiency of China's construction industry is increasing.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Xuedong Liang, Shifeng Lin, Xueyao Bi, Enfan Lu, Zhi Li
Summary: This study examines the energy efficiency of the construction industry in 30 Chinese provinces using a three-stage DEA-Malmquist model and a stochastic frontier method, finding that environmental factors and random errors have underestimated the total factor energy efficiency change and technology change. The study identifies factors that positively and negatively impact energy efficiency, providing policy suggestions based on empirical results.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Economics
Nam Hyok Kim, Feng He, O. Chol Kwon
Summary: This paper proposes a novel window analysis method, CWAT, based on common weight across time, which evaluates the performance and productivity change of China 45 iron and steel enterprises from 2009 to 2017.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Management
David Jose Cova-Alonso, Juan Jose Diaz-Hernandez, Eduardo Martinez-Budria
Summary: The article introduces a new efficiency measure to overcome the drawbacks of the Farrell technical efficiency measure. By accounting for all non-zero slacks in inputs and outputs, the new measure helps in correctly classifying production units and measuring inefficiency, thus enhancing business management decision-making.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Economics
Wei Wei, Ying Han, Mohammad Zoynul Abedin, Jingjing Ma, Shanglei Chai
Summary: By using DEA-BCC and DEA-Malmquist models, this study examines the regional disparities of technical efficiency and total factor productivity in the Chinese power industry. The results indicate a development pattern of emphasizing market over environment, but some progress has been made in green technology and environmental regulations. However, the lack of long-term incentives hinders the continuous development of the power market reform.
Article
Environmental Sciences
Yan Li, Jiangfeng Wang, Bin Liu, Hongyan Li, Yumin Guo, Xinru Guo
Summary: Improving the green total factor performance in China's construction industry is of great importance for China's green and high-quality development. The study found that low energy efficiency and CO2 emission efficiency are the main reasons for low levels of green total factor efficiency, while technological progress is the main driver of increasing green total factor productivity. Each province should formulate corresponding optimization strategies based on its own characteristics of green development in the construction industry.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Multidisciplinary
Yuanning Hu, Hongyi Xu
Summary: The study found that the overall productivity level of the industrial Internet industry from 2015 to 2019 was low, with a large fluctuation range, and changes in technical efficiency were the main reason for the decline in productivity. There was little difference in production efficiency between the manufacturing industry and the information transmission, software, and information technology services industries.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Construction & Building Technology
Aobo Yue, Xupeng Yin
Summary: Production efficiency is a critical research topic in construction economics and management, reflecting the developmental potential and competitiveness of the economy. A scientific framework is proposed in this study to examine the production efficiency in the construction industry from a macroeconomic perspective.
Article
Environmental Sciences
Xin Feng, Ruiqi Jin, Yung-ho Chiu, Lina Zhang
Summary: This study proposes a dynamic data envelopment analysis framework and considers the quality of the government sector to calculate energy efficiency in the construction industry. The research findings show that the energy efficiency is higher in the eastern region, and there is a significant impact of governance efficiency on production efficiency and energy efficiency. Digital transformation has a positive effect on governance efficiency.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Mohammad Khoveyni, Robabeh Eslami
Summary: This study proposes an input-output-oriented linear model in network data envelopment analysis (DEA) to measure the overall efficiency of two-stage decision-making units (DMUs) with shared resources. Comparative analysis shows the superiority of our model over existing models, and an empirical example demonstrates the applicability of our proposed model.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Zufeng Shang, Fenglai Wang, Xu Yang
Summary: This paper examines the development and efficiency of China's prefabricated building industry. The study finds that the industry has moderate efficiency at the micro level but low efficiency at the macro level. It suggests optimizing planning, enhancing innovation, and improving standardization and automation to promote sustainable development in the industry.
Article
Environmental Sciences
Yufeng Chen, Lihua Ma, Zhitao Zhu
Summary: The construction industry is a key sector in China's economy, but it faces challenges of high energy consumption, pollution, and low energy efficiency. Research on energy efficiency in the construction industry is crucial for improving development quality and reaching energy-saving goals. The study found that poor management efficiency in the construction industry is a significant factor contributing to low energy efficiency levels in China's construction industry.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Operations Research & Management Science
Feng Li, Han Wu, Qingyuan Zhu, Liang Liang, Gang Kou
Summary: This study considers reciprocal behaviors among DMUs, determines positive or negative behaviors using a novel threshold, and develops a game-like iteration process to adjust evaluation strategies. The optimal ultimate cross efficiency score with reciprocal behaviors is then calculated.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Business
Jianzhong Li, Alhanouf Alburaikan, Rita de Fatima Muniz
Summary: This paper aims to create a suitable structure based on neutrosophic numbers to evaluate the safety performance in construction projects. Data envelopment analysis (DEA) and neutrosophic logic are used to evaluate the safety performance of construction projects and identify key factors. The results show that projects that pay more attention to safety issues such as training and equipment are more efficient.
MANAGEMENT DECISION
(2023)
Article
Agronomy
Sobia Asghar, Takuji W. Tsusaka, Damien Jourdain, Shahab E. Saqib, Nophea Sasaki
Summary: Declining water tables and shrinking irrigation supply are major challenges for agricultural production in Pakistan. This research evaluated the efficiency of smallholder sugarcane farms in Faisalabad by assessing their technical, allocative, and groundwater-irrigation efficiency. The findings suggest that improving allocative efficiency and implementing optimal resource allocation strategies can significantly reduce production costs.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Energy & Fuels
Kai Li, Minda Ma, Xiwang Xiang, Wei Feng, Zhili Ma, Weiguang Cai, Xin Ma
Summary: This study evaluated the carbon reduction changes of commercial building operations in China from 2001 to 2016, finding that provinces in northeast and north China led in reduction intensity and amount, while southwest provinces had the highest reduction-emission efficiency. The annual carbon reductions based on provincial units peaked at 167.35 MtCO(2) in 2013, with effective practices by local governments summarized for energy efficiency promotion in commercial building operations.
Article
Economics
Shufan Zhang, Minda Ma, Kai Li, Zhili Ma, Wei Feng, Weiguang Cai
Summary: This study assesses the carbon abatement in commercial building operations in China and the United States, and compares the carbon abatement efficiency of the two countries. The results show that economic efficiency and energy intensity are key factors in reducing CO2 intensity in commercial buildings. Additionally, the study explores paths for energy efficiency improvement in commercial buildings. This study fills a research gap in comparing the historical carbon abatement features in building operations.
Article
Development Studies
Runyuan Wang, Hong Ren, Weiguang Cai, Qingwei Shi
Summary: The construction industry plays a crucial role in achieving carbon neutrality by reducing energy consumption. This study utilizes nighttime light data to construct a nighttime light index for urbanization, and empirically studies the impacts of urbanization on building energy consumption (BEC) intensity. The results show that there is a statistically significant positive correlation between BEC intensity and urbanization level on a nationwide scale, while an inverted-U relationship exists in Eastern developed regions, suggesting that an increasing BEC intensity is not an inevitable result of urbanization. Urbanization in the compact city mode inhibits BEC intensity to some extent, while urbanization in the urban sprawl mode often develops at the expense of increasing BEC intensity.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2023)
Article
Construction & Building Technology
Lei Gan, Hong Ren, Weiguang Cai, Kun Wu, Yuan Liu, Yang Liu
Summary: This study used the fixed cost allocation model to allocate carbon emission quotas to public buildings in China in 2030, based on equity and efficiency principles. The results revealed significant differences between provinces, with Heilongjiang, Inner Mongolia, and Liaoning facing high pressure for emission reduction.
BUILDING AND ENVIRONMENT
(2022)
Article
Engineering, Environmental
Kairui You, Hong Ren, Weiguang Cai, Ruopeng Huang, Yuanli Li
Summary: This study developed an innovative carbon emissions simulation model that considers climate area, building type, and end-use service to understand the carbon emission trend and tap the potential of emission mitigation. The results indicate the need for stronger strategies in China's building sector to achieve the carbon peak goal. To achieve carbon neutrality, collective efforts are required, with decarbonization of electricity generation, building stock regulation, and residential green behavior guidance being the top three contributors to carbon abatement.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Multidisciplinary Sciences
Jingxin Gao, Jianing Zhang, Jinbo Song, Weiguang Cai
Summary: Increasing household income has led to higher expectations for life comfort, resulting in a growing demand for central heating in hot summer and cold winter areas (HSCWs). This study investigates the feasibility of promoting central heating in HSCWs based on considerations of inequality and reverse subsidies. The analysis, using utility theory, introduces the reverse subsidy dilemma caused by the transition from individual heating to central heating. Data presented in this paper suggest that individual heating offers more choices for households with different income levels compared to central heating. Furthermore, the study assesses heating inequality among income groups and discusses reverse subsidies from the poor to the rich. Findings indicate that the implementation of central heating has limited adverse effects and high utility for the rich, but it leads to increased expenditures and low utility satisfaction for the poor at the same price level.
Article
Economics
Yanyan Ke, Weiguang Cai
Summary: Various studies have examined the application of the inverted-U-shaped relationship in different industries, with a focus on the relationship between building carbon emissions (BCEs) and residents' income. Using threshold regression techniques, this study found an inverted-U-shaped relationship with two turning points between BCEs and household income, and observed a lock-in effect of high BCEs as income increases. The concept of income-waiting dilemma was proposed, involving the passive waiting for BCEs to decrease with an increase in residential income. The study also explored mechanisms and proposed solutions to overcome the predicament and accelerate the inflection point of BCEs.
Article
Environmental Sciences
Jingxin Gao, Changzan Duan, Jinbo Song, Liangdong Ma, Weiguang Cai
Summary: Long-term or short-term exposure to air pollution distorts human cognitive function, which has raised concerns in interdisciplinary fields. It is reasonable to assume that air pollution may affect energy use in public buildings. However, overlooking the potential impacts of air pollution on energy use can result in significantly higher energy savings costs.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Construction & Building Technology
Liu Chen, Shiying Liu, Weiguang Cai, Yan Li, Gengpei Lv, Shihong Peng
Summary: This study retrospectively examines the historical carbon reduction potential in China's residential building sector and compares the potential under three scenarios. The findings highlight the key factors affecting CO2 emissions and the variations in carbon reduction potential among provinces. The study also emphasizes the importance of considering equity and efficiency in carbon mitigation strategies.
BUILDING AND ENVIRONMENT
(2023)
Article
Thermodynamics
Xia Wang, Chao Ding, Mao Zhou, Weiguang Cai, Xianrui Ma, Jiachen Yuan
Summary: Space heating demand in the HSCW climate zone in China has rapidly increased, posing challenges for electricity supply and building decarbonization. This study examines the energy efficiency of household space heating and identifies opportunities to reduce electricity usage. Using a stochastic frontier analysis, the average household space heating efficiency was found to be 0.69. This indicates the potential for households to reduce heating electricity consumption by 31% without sacrificing thermal comfort, with building energy efficiency standards being a key factor.
Review
Green & Sustainable Science & Technology
Yuanping Wang, Lang Hu, Lingchun Hou, Weiguang Cai, Lin Wang, Yu He
Summary: This paper investigates the multi-objective optimization and economic analysis of Passive House (PH) in Shandong Province, China. By utilizing the NCA-GA-RBF neural network technique and the NSGA-II genetic algorithm, significant improvements in annual energy demand (AED) and summer discomfort hours (SUH) are achieved. The optimal energy-saving and economic schemes are selected for economic evaluation, providing guidance for design decision-makers.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Studies
Kairui You, Rui Li, Yanhui Yu, Weiguang Cai
Summary: This study quantified the CO2 emissions from central heating in 137 Chinese cities from 2006 to 2019 and identified disparities in per capita emissions. The research highlights the importance of specific strategies for decarbonization at the city level.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Thermodynamics
Yuanping Wang, Lingchun Hou, Lang Hu, Weiguang Cai, Lin Wang, Cuilian Dai, Juntao Chen
Summary: This study examines the heterogeneity of household structure type and other factors on household energy consumption (HEC) using quantile regression. The findings suggest that factors such as education level, income, working hours, residence duration, and home ownership significantly contribute to HEC. There is also an impact of household structure type and age on HEC. Policy recommendations are provided.
Article
Environmental Sciences
Rui Li, Liu Chen, Weiguang Cai, Kairui You, Zhaoji Li, Lina Ran
Summary: The climatic conditions in different regions of China have led to significant differences in the historical peak situation of building carbon emissions (BCE). This study evaluates the historical peak situation of BCE in different climate regions in China and discusses the reasons for the differences in growth trends and peak situations. Challenges faced by each region in promoting the peaking of BCE are highlighted. The research results show that the growth rates of BCE in the transitional and southern regions are significantly lower than the growth rate of building energy consumption, and the carbon emissions per unit floor area in the southern region has reached its peak. The main obstacles in the northern heating region are the high-carbon heating energy structure and the heating behavior of residents, while challenges in the transitional and southern regions include population migration and increasing requirements for living environment comfort.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Construction & Building Technology
Xiwang Xiang, Xin Ma, Zhili Ma, Minda Ma, Weiguang Cai
Summary: This article introduces a new open-source Python tool (PyLMDI) for calculating decomposition analysis of carbon emissions in the buildings sector. Users can quickly obtain the decomposition result through a simple class data structure, and carbon emissions from commercial buildings are used as a numerical example to demonstrate the functionality of the tool.
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
