Article
Management
Shuguang Lin, Hai-Liu Shi, Ying-Ming Wang
Summary: This paper introduces a mixed-binary linear program model for handling zero and negative input and output values. The model is units invariant, addressing the limitations of other models, and has been validated on several data sets.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Review
Management
Camila Guimaraes Monteiro de Freitas Alves, Lidia Angulo Meza
Summary: This paper presents a literature review on network models in data envelopment analysis (DEA) with a focus on the slack-based network model called slacks-based measure-network data envelopment analysis (SBM-NDEA). A total of 97 publications from 2009 to 2021 were identified in an international database search. The publications were subjected to descriptive analysis, mapping the evolution of the literature, organizing articles into categories, and identifying the main methodological references for the models and applications used. The most frequently used models and their characteristics, as well as the analysis of applications, were described. Sectors and countries with the highest number of applications were also identified. The review indicates an increasing number of network studies using the SBM-NDEA in recent years. Finally, future research directions in SBM-NDEA are suggested.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2023)
Article
Management
Hsuan-Shih Lee
Summary: In this paper, a linear programming model that integrates SBM and Super-SBM is proposed, which can identify the efficiency of the inefficient DMUs and the super-efficiency of the efficient DMUs simultaneously in one stage. Results show that the proposed model is faster than the model by Tran et al., with a computation time of about two-thirds shorter.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2021)
Article
Green & Sustainable Science & Technology
Tomas Balezentis, Vida Dabkiene, Dalia Streimikiene
Summary: This study estimates the eco-efficiency, shadow price, and marginal abatement costs of dairy farms in Lithuania. The results show that the average eco-efficiency remained stable, and the GHG emission reduction potential was between 20% and 25%. The shadow price increased over time, and the marginal abatement costs varied. The findings suggest that policy actions should target the farms with the highest GHG emissions, and there is a need for improvement in land use, capital utilization, and feed utilization.
JOURNAL OF CLEANER PRODUCTION
(2022)
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
Multidisciplinary Sciences
Ruiyue Lin, Zongxin Li
Summary: In this paper, a network-based dynamic data envelopment analysis model is proposed to rank the environmental efficiency of decision making units (DMUs) in a comprehensive and dynamic manner. The model provides information about the factors and timing of inefficiency or efficiency. Empirical analysis on the environmental efficiency of 30 provinces in China reveals regional differences and offers suggestions for improving efficiency.
Article
Green & Sustainable Science & Technology
Shuangjie Li, Hongyu Diao, Liming Wang, Li Li
Summary: This study improves the input-output variable system of total-factor CO2 emissions efficiency (TFCEE) and proposes a roadmap for achieving carbon peak and carbon neutral targets in industrially developed regions. The study finds that efficiency improvement is the main driving force for achieving net zero CO2 emissions, and carbon capture, utilization, and storage (CCUS) technologies are expected to be the second largest emission reducer by 2037.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Economics
Jingxiao Zhang, Weixing Jin, Guo-liang Yang, Hui Li, Yongjian Ke, Simon Patrick Philbin
Summary: The study finds that the construction industry in China needs to reduce CO2 emissions by around 10%, with most provinces having the potential to do so. The East region of China contributes significantly to the total reduction amount, while about one-third of provinces face significant pressure to reduce emissions by more than 10% from the 2017 base level. This research provides valuable insights and guidance for evaluating regional allocation of CO2 emissions in the construction industry, which can be a reference for other countries and industries.
SOCIO-ECONOMIC PLANNING SCIENCES
(2021)
Article
Environmental Studies
Xiang Chen, Xuping Zhang, Xin Wu, Ching-Cheng Lu
Summary: The study emphasized the importance of afforested area in environmental protection, revealing that energy efficiency is higher than afforested efficiency, which is the main reason for low overall efficiency. Effective measures are needed to control the emissions of pollutants and gradually increase afforested area in most provinces.
ENERGY & ENVIRONMENT
(2022)
Article
Computer Science, Artificial Intelligence
Mohammad Tavassoli, Reza Farzipoor Saen
Summary: This paper introduces a novel non-radial network data envelopment analysis model for assessing the performance of railways with sustainability considerations. The study identifies the focus areas for improving sustainability, including technical efficiency and technical effectiveness.
APPLIED INTELLIGENCE
(2022)
Article
Green & Sustainable Science & Technology
Joohwan Kim, Hwayoung Kim
Summary: Safety is crucial for the sustainable management of a coastal ferry service business, and an efficiency strategy should balance safety and transport performance to improve relative transport efficiency. This study evaluated coastal ferry operators' transport efficiency through undesirable safety-related output and found that using a three-stage network SBM model can improve the differentiation of firms' transport efficiency compared to a model that did not consider the internal production stage.
Article
Public, Environmental & Occupational Health
Shen Zhong, Shuqi Liang, Yuxin Zhong, Yunying Zheng, Fengjun Wang
Summary: This paper estimates the innovation efficiency of China's pharmaceutical manufacturing industry in 23 provinces from 2010 to 2020, based on the super-network SBM model and Global-Malmquist index. The results show that there is an increasing trend in the efficiency of both the research and development stage and the economic transformation stage, with the western region showing the most prominent growth.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Management
Hsuan-Shih Lee
Summary: This paper investigates the handling of zero and negative data in SBM and Super-SBM models, proposing Nonpositive SBM and Nonpositive Super-SBM models. A two-stage approach is suggested to address the issue of Pareto efficiency in Nonpositive Super-SBM model.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Ehsan Zanboori, Saeid Ghobadi
Summary: This paper tackles the problem of dealing with interval data by modifying existing methods. By considering optimistic and pessimistic attitudes and their corresponding models, an appropriate algorithm for classification is proposed. Furthermore, the validity and consistency of the proposed method are demonstrated.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
(2022)
Article
Computer Science, Interdisciplinary Applications
Qiwei Xie, Yuanchang Zhu, Haichao Shang, Yongjun Li
Summary: The study proposed algorithms based on two convex hull algorithms to create a novel variation of the SBM-Max model mentioned by Tone (2016), making it easily applicable to different problems and effectively improving the performance of inefficient decision-making units.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Ecology
Dan Pan, Huan Chen, Ning Zhang, Fanbin Kong
Summary: This article examines the treatment effects of China's livestock environmental regulations (LERs) on water pollution. The results indicate that LERs reduce chemical oxygen demand (COD) by an average of 17.82% but do not have a continuous dynamic effect on COD reduction. They are particularly effective in upstream and developed areas, as well as in counties with high initial pollution levels. The total health benefit from reduced mortality and morbidity as a result of LERs is estimated to be $73.27 billion-$219.53 billion, which is significantly higher than the cost of LERs in terms of decreased farmers' income.
ECOLOGICAL ECONOMICS
(2023)
Article
Green & Sustainable Science & Technology
Hongyan Zhang, Shuaizhi Gao, Peng Zhou
Summary: The rapid development of digital technologies has had a profound impact on the energy sector, particularly in the field of energy storage. Digitalization has facilitated innovation in energy storage technology, particularly with the help of digitization and Internet of Things strategies. Through coordination between digitalization and energy storage, the development of cross-regional energy systems can be achieved, promoting sustainability and smartness in society.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Engineering, Environmental
Xi Liu, Huibin Du, Xin Zhang, Kuishuang Feng, Xu Zhao, Honglin Zhong, Ning Zhang, Zhenni Chen
Summary: The energy supply chains operating beyond a region's jurisdiction can have significant impacts on local water resources. However, there is a lack of research on the transboundary effects of energy consumption on water stress in China. This study investigates how energy demands affect scarce water resources at provincial and river basin levels in China. The findings highlight the unsustainable nature of current energy demands and propose mitigation options to alleviate water stress.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Economics
Liyang Wan, Ning Zhang
Summary: This paper explores the impact of air pollution on employees' earnings in China. The study utilizes both instrument variable (IV) and regression discontinuity design (RDD) methods, and finds that air pollution decreases employees' annual earnings. A one mu g/m3 increase in yearly PM2.5 leads to a 175.4 CNY decrease in annual earnings for employees. The estimated total loss in earnings for all employees in the sample firms reaches approximately 268.59 million CNY. The research demonstrates that the effect of air pollution differs based on factors such as labor intensity, ownership types, and firm size. Mechanism tests further indicate that air pollution reduces employees' earnings by decreasing unit wage and working time. The increase in labor costs for firms exacerbates their operational status. Notably, air pollution has a non-linear negative effect on employees' earnings. Overall, the findings highlight the significant impact of air pollution on employees' benefits by diminishing their earnings, providing strong support for future environmental regulations.
CHINA ECONOMIC REVIEW
(2023)
Article
Economics
Shuaizhi Gao, Peng Zhou, Hongyan Zhang
Summary: This study examines the impact of the pace of energy transition on urban-rural income gap in China by analyzing empirical data from 30 provinces. The results show an upward trend in China's energy transition performance and highlight the positive role of energy transition in narrowing the income gap. The study also evaluates the moderating effects of various transition policies and environmental factors, providing practical insights for a global just energy transition.
Article
Management
F. Wu, S. Y. Wang, P. Zhou
Summary: Reducing carbon dioxide (CO2) emissions comes with costs, and estimating the marginal abatement cost of CO2 emissions (MCAC) is crucial for decision-making. This study contributes by considering different abatement options and revealing that the MCAC can be negative if switching to lower carbon fuel generates profit. They develop a new approach for estimating the MCAC, considering six alternative abatement options. A case study on China's thermal power industry shows that the least-cost abatement option varies across provinces and years, with switching to cleaner energy being a cost-effective option in most cases.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Environmental Sciences
Tao Zhou, Ning Zhang
Summary: Labor share is an important indicator for income distribution and social inequality. This study investigates the decline of labor share from the perspective of air pollution, which has been overlooked in previous studies. By using a two-stage least square regression and thermal inversion as an instrumental variable, the study finds that a 1μg/m3 increase in PM2.5 concentration leads to a 0.17 percentage point decrease in labor share. The study also explores the channels through which air pollution affects labor share, including decreases in labor and production productivity and average wage.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2023)
Article
Green & Sustainable Science & Technology
Yu Zhao, Honglin Zhong, Fanbin Kong, Ning Zhang
Summary: The thermal power sector plays a critical role in achieving carbon neutrality in China, contributing to over 40% of carbon mitigation targets. However, the one-size-fits-all approach to carbon reduction driven by national regulatory constraints has led to pressing livelihood and economic issues such as electricity restrictions. This study examines heterogeneous production strategies for thermal power plants under carbon neutrality, finding that about half of the plants can reconcile national targets with profits, while others have to reduce production or transfer emissions to secure revenue.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Multidisciplinary Sciences
Kun Peng, Kuishuang Feng, Bin Chen, Yuli Shan, Ning Zhang, Peng Wang, Kai Fang, Yanchao Bai, Xiaowei Zou, Wendong Wei, Xinyi Geng, Yiyi Zhang, Jiashuo Li
Summary: The study assesses the potential impacts of low-carbon power transition on achieving multiple SDGs and finds that the effects vary under different scenarios. It shows that the power transition can improve the overall SDG index of developed economies but may undermine their resource-related scores. Additionally, the power transition also affects international trade and the progress of developing economies in achieving SDGs.
NATURE COMMUNICATIONS
(2023)
Article
Economics
Maoyu Gong, Ning Zhang
Summary: China's economy is transitioning from high-growth to high-quality development by promoting total factor productivity (TFP), with a focus on intangible factors. However, the role of intangible factors has been overlooked in previous research. This study investigates the drivers of TFP and finds that technological innovation is the main driver. Additionally, intangible factors such as knowledge, data, and technology contribute more to TFP growth than traditional factors like labor, capital, and energy. The contribution of intangible factors varies across different locations, economic development levels, and factor richness.
ECONOMIC MODELLING
(2023)
Article
Environmental Studies
Tao Zhou, Xuhui Huang, Ning Zhang
Summary: With the aggravation of carbon emissions and global warming, reducing carbon emissions and low-carbon development have become the focus of environmental economic research. This paper explores the effect of high-speed railway (HSR) infrastructure construction on urban carbon total factor productivity (CTFP) in China. The results show that an extra HSR line significantly improves the CTFP of local cities by 0.63%, while the CTFP of related surrounding cities increases by 6.3%.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Thermodynamics
Qi Wei, Peng Zhou, Xunpeng Shi
Summary: This study uses a natural gas market equilibrium model to analyze the utilization rate and congestion cost of China's long-distance pipelines. The results show that although the total utilization rate of these pipelines is 87%, many segments are congested, indicating the potential for optimization. Introducing congestion fees could help identify the pipelines that need structural improvement and capacity expansion, and the study suggests prioritizing optimization of existing networks, deepening market liberalization, and developing functional storage facilities in China's gas market development.
Article
Hospitality, Leisure, Sport & Tourism
Xuejie Qiu, Haiyan Kong, Kangping Wang, Ning Zhang, Sangwon Park, Naipeng Bu
Summary: This paper aims to review the research on tourism and climate change and identify potential opportunities. Based on 1,274 records from the Web of Science between 1998 and 2021, visual maps and strategic diagrams were created using VOSviewer and SciMAT. The results show that collaboration among different authors has increased knowledge output. Panel data, ski tourism, outdoor recreation, national parks, pro-environmental behavior, and error correction are the current research priorities. The paper also identifies future research trends through the strategic diagrams.
ASIA PACIFIC JOURNAL OF TOURISM RESEARCH
(2023)
Article
Economics
Di Wang, Peng Zhang, Shuai Chen, Ning Zhang
Summary: This study examines the causal evidence for adaptation effects of specific agricultural instruments and emphasizes the importance of identifying potentially useful adaptive measures for future climate change. Through a quasi-experimental approach, the study quantifies the contribution of irrigation access to the overall adaptation effect and highlights the significant role of irrigation in agricultural adaptation. The findings demonstrate that irrigation expansion significantly mitigated the negative impacts of high temperature on crop yields, with irrigation accounting for about 40% of the overall adaptation effect.
JOURNAL OF DEVELOPMENT ECONOMICS
(2024)
Article
Economics
Ye Yao, Huibin Du, Hongyang Zou, Peng Zhou, Carlos Henggeler Antunes, Anne Neumann, Sonia Yeh
Summary: This paper provides a retrospective overview of the journal Energy Policy during the period 1973-2022 using bibliometric data. The results show that Energy Policy has a high annual publication volume and citation rate, covering a wide range of topics. The United States and its institutions are the major contributors to the journal.
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
