Article
Business
Sicen Liu, Xiaodong Chen, Zhiyang Shen, Tomas Balezentis
Summary: This paper proposes a framework based on the LPI and LMDI approach to analyze the energy-economy-environment nexus, and applies it to the empirical case of China's industrial sector. The results show important spatial variation in the productivity measures and analyze the factors influencing industrial energy consumption and SO2 emissions.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2022)
Article
Management
Juan Aparicio, Lidia Ortiz, Daniel Santin
Summary: This study extends the CDMI and PPMI to a background using additive efficiency measures based on directional distance function, showing varied productivity gaps between PFPS and PS in different countries, with school autonomy positively related to school productivity.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Environmental Sciences
Fangming Xie, Yiwen Li, Bing Zhang
Summary: This research examines the impact of industrial agglomeration on carbon productivity in the Yangtze River Economic Belt and identifies the optimal scale of industrial agglomeration. The findings suggest that controlling pollution-intensive industrial agglomeration within a reasonable range contributes to carbon productivity, while green-based industries only enhance carbon productivity when agglomeration reaches a certain value. Additionally, the study highlights the importance of investing in emerging technologies that use clean energy as a production condition for regions with high agglomeration of green industries.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Sheng You, Xuan Chen
Summary: This study focuses on the impact of a city's regional integration and environmental regulation on green total factor productivity, proposing an index to measure the degree of a single city's integration into a region. Empirical analysis shows that a city's regional integration can buffer the relationship between environmental regulation and green total factor productivity, significantly affecting the city's green growth.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Article
Environmental Sciences
Haoran Zhang, Yu Liu, Yongrok Choi, Lingyu Yang, Xinbei Li
Summary: This study combines the Malmquist-Luenberger productivity index with a difference-in-differences model to evaluate the technological progress of China's pilot ETS. The results show that the pilot ETS significantly promoted green total factor productivity in industrial subsectors, with technology change being the key driver of improvement.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Green & Sustainable Science & Technology
Alireza Khoshroo, Mohammad Izadikhah, Ali Emrouznejad
Summary: The study evaluates the energy efficiency of tomato production in Iran using the Data Envelopment Analysis (DEA) model with the Bounded Adjusted Measure (BAM), assessing overall, environmental, production, and pure emission efficiency. Nine provinces are identified as overall efficient, with an additional nine DMUs recognized for their environmental, production, and pure emission efficiency. Additionally, a new approach for determining congestion based on the BAM model is proposed to measure excessive investments in inputs for increased outputs.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Shen Zhong, Lang Wang, Fengge Yao
Summary: This study measures the industrial green total factor productivity of cities in the Yangtze River Economic Belt and presents some empirical results. The study finds that the industrial green total factor productivity initially declined and then increased, with the highest productivity in midstream cities. The study also highlights the regional differences in promoting productivity improvement, with the upper reaches relying on management efficiency and the middle and lower reaches relying on technical efficiency advantages.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Liyun Zhu, Feng He
Summary: This study developed a multi-stage Malmquist-Luenberger index model that considers the growth and driving factors of environmental total factor productivity in different production processes. By applying the model to Chinese iron and steel enterprises from 2009 to 2013, the validity of the model was demonstrated. Results showed that environmental efficiency improvement is the critical factor in promoting ETFP growth, while technical regression in the steel-making sub-process is the main constraint to system ETFP growth, with significant regional variations in ETFP changes.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Green & Sustainable Science & Technology
Weijun He, Yizhan Li, Xu Meng, Mengfei Song, Thomas Stephen Ramsey, Min An
Summary: In order to achieve carbon emission goals, China needs to upgrade its industrial structure to establish a low-carbon economy. The collaborative agglomeration of manufacturing and production service industries, as a new form of industrial structure change, can have an impact on carbon productivity. However, there is limited research on how this agglomeration affects carbon productivity. This study fills this research gap by analyzing panel data from 27 cities in the Yangtze River Delta urban agglomerations region, and it finds that the collaborative agglomeration significantly increases carbon productivity and green technological progress.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Salman Hamid, Ke Wang
Summary: This paper proposes a modified model to assess the environmental total factor productivity (TFP) of the agriculture sector in South Asia. By integrating environmental aspects and productive efficiency, the model identifies factors for agricultural growth and environmental performance, and provides policy recommendations to improve agricultural environmental TFP.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Lili Ding, Mingliang Wu, Zheng Jiao, Yongyou Nie
Summary: The paper calculates industrial GTFP in China using the Super-SBM model and the ML index, and discusses the impact of trade openness on GTFP. The results show that technical progress plays a major role in GTFP variation, and trade openness can significantly improve GTFP.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Shen Zhong, Aizhi Li, Jing WunAff
Summary: This study analyzes the eco-efficiency of China's freshwater aquaculture and finds that it is improving but still low. Coastal areas have better eco-efficiency compared to non-coastal areas. There is redundancy in input and output, and the potential for production value expansion is gradually saturating while the reduction potential of pollutant emissions is declining.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Environmental Studies
Xiaoling Ouyang, Jiaying Liao, Chuanwang Sun, Yan Cao
Summary: This paper evaluates the green total factor productivity (GTFP) of 36 sub-industries in China's industrial field and investigates the effects of environmental regulation (ER) on industrial GTFP. The results show a positive correlation between ER and industrial green growth, with technological progress playing a more essential role. ER can promote industrial GTFP through industrial structure upgrading.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Environmental Sciences
Huangxin Chen, Yi Shi, Meng Xu, Zhihao Xu, Wenjie Zou
Summary: It is of great significance to measure and analyze the evolution characteristics and influencing factors of China's industrial green development level in achieving carbon neutrality goal. This research uses panel data from 30 provinces in China from 2000 to 2018 and applies the super slack-based measuring model and the Malmquist-Luenberger index to calculate China's industrial green total factor productivity. The study reveals that China's overall industrial green development level is not high but shows an upward trend, with economic development, foreign direct investment, industrial structure, and technological progress being positive contributors.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Geosciences, Multidisciplinary
Xiaodong Chen, Anda Guo, Jiahao Zhu, Fang Wang, Yanqiu He
Summary: This paper examines the relationship between the green energy transformation in China's transport sector and sustainable development, and explores the most effective pathways to promote productivity growth and mitigate climate change and traffic accident risks. The research findings reveal significant differences in efficiency, productivity change, and technological progress among provinces, calling for classified regulations to address this issue.
Article
Thermodynamics
Yaxian Wang, Zhenli Zhao, Tomas Balezentis
Summary: Private charging pile sharing is an innovative business model that addresses the shortage of publicly accessible charging infrastructure in large cities. However, the lack of an effective benefit distribution scheme hinders the implementation and promotion of such projects. By using an improved Shapley value model, fair distribution of benefits can be ensured in private charging pile sharing projects.
Article
Agronomy
Oleksandr Zakharchuk, Andrii Hutorov, Oksana Vyshnevetska, Vitalii Nitsenko, Tomas Balezentis, Dalia Streimikiene
Summary: The aim of this article is to propose recommendations for ensuring the supply meets the demand in the seed and planting material market in Ukraine. Statistical and comparative analysis is used to examine the patterns of foreign trade in seeds and planting material to and from Ukraine. The high import dependence of Ukraine exposes it to instability in the global seed market. The article discusses the development of seed production in Ukraine and suggests ways to improve the commercial circulation of seeds and planting materials. Prospective methods to accelerate the development of the Ukrainian seed and planting material market are outlined.
Article
Green & Sustainable Science & Technology
Ovidija Eicaite, Tomas Balezentis, Erika Ribasauskiene, Mangirdas Morkunas, Rasa Melnikiene, Dalia Streimikiene
Summary: This paper quantifies food loss in the Lithuanian food processing sector and identifies the root causes behind it. Through a questionnaire survey, the study finds that an estimated 10.9 thousand tonnes of food, or 4 kg per capita, may be lost at the processing level each year in the country. Processing operations issues and product non-compliance with commercial standards are identified as the main causes for food loss.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Gangfei Luo, Tomas Balezentis, Shouzhen Zeng
Summary: With the increasing affluence, there is a remarkable and increasing difference in CO2 emission between the urban and rural residential sectors. The residential sector in China contributes significantly to the national CO2 emission, posing greater challenges in achieving the carbon peak goal. However, the existing literature lacks analysis on urban-rural disparity in CO2 emission. Therefore, this study decomposes the CO2 emission inequality of China's urban and rural residential consumption into four factors using the Theil index and Kaya decomposition. The results reveal that rural residential consumption had a higher increase in per capita CO2 emission compared to urban households, with significant spatial distribution differences.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Jinpeng Zou, Xiaodong Chen, Fang Liu, Fang Wang, Mingling Du, Bin Wu, Ni Yang
Summary: This paper analyzes the economic policy instruments in China and the UK and suggests improvements for China. It proposes three principles for innovating water quality governance and provides recommendations for deepening reforms and pilot projects. The paper can also serve as a reference for water pollution control in other developing countries.
Article
Business
Huihong Liu, Xinyu Liu, Tomas Balezentis, Dalia Streimikiene, Shouzhen Zeng
Summary: Firms can improve their technology by purchasing innovation results, and reasonably priced innovation results are the key to transfer success. This study analyzes the nonlinear improvement effect of innovation results on technology and evaluates the pricing decision through a game model that considers the entire innovation process. The results show that firms evaluate innovation results by matching them with their own technologies and make bids based on R&D costs. After considering the matching, the transfer pricing of innovation results will prosper the transfer market and improve the success rate of transfer.
JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT
(2023)
Article
Management
Xiaodong Chen, Miraj Ahmed Bhuiyan
Summary: This paper examines the in-depth relationship between religious beliefs and individual social class mobility expectations in China. The findings show that religious beliefs have a significant positive impact on personal social class mobility expectations, especially in groups with nonagricultural household registration, higher education level, older age and better family background conditions. However, this impact weakens with the further improvement of family background conditions. Possible channels of action include prejudice effects, psychological effects, individual capital effects, and social capital effects. Overall, religious beliefs have a positive significance for the Chinese Dream.
EQUALITY DIVERSITY AND INCLUSION
(2023)
Article
Green & Sustainable Science & Technology
Dan Liu, Yushan Li, Jia You, Tomas Balezentis, Zhiyang Shen
Summary: Transitioning to environmentally friendly economic growth is crucial for achieving sustainable development. Digital inclusive finance (DIF) plays a crucial role in promoting green and low-carbon development. This study examines the impact of DIF on green total factor productivity (GTFP) growth and its mechanisms in China's agricultural sector. The results show that DIF significantly contributes to GTFP growth by promoting information channels and fostering green technology innovation.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Tomas Balezentis, Mindaugas Butkus, Dalia Streimikiene
Summary: The agricultural production is crucial for food provision and income in rural areas. This study analyzes the agricultural energy productivity in EU Member States during 2005-2019, finding the need for attention and policy development in this area. The results show stable differences between clusters of countries, suggesting the importance of cohesive policies for homogeneous groups.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Zhiyang Shen, Tomas Balezentis
Summary: The development of sustainable energy systems is crucial for economic growth and climate change mitigation. This paper proposes a nonparametric approach based on the by-production technology to identify relevant energy development strategies at the country level. Results show that most countries need to consider both energy intensity and carbon factor effects for sustainable energy development, while some also need to increase renewable energy usage for economic growth. The study's findings provide guidelines for effective market-oriented policy measures in the energy sector.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Studies
Xiaodong Chen, Min Yang, Zeng Li, Tomas Balezentis, Fang Wang
Summary: This paper proposes a total-factor rebound effect model that combines the Fixed effects model, Data Envelopment Analysis, and Luen-berger Productivity Indicator. The model can assess performance in the industrial sector and measure technological change and rebound effect. The results show that switching from natural to managerial disposability improves energy rebound effect while reducing NOx and SO2 emissions rebound effect.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Development Studies
Tomas Balezentis, Dalia Streimikiene, Gintare Stankuniene, Olatunji Abdul Shobande
Summary: Households play a significant role in global greenhouse gas emissions, with a potential for high reduction. The main ways to reduce emissions are through the use of renewable energy, energy efficiency improvement, and changes in energy use patterns. Building renovation and the use of energy efficient appliances have the highest energy saving potential in households.
SUSTAINABLE DEVELOPMENT
(2023)
Article
Business
Karolina Krisciukaityte, Tomas Balezentis, Dalia Streimikiene
Summary: This research discusses the integration of sustainable banking with financial performance and efficiency indicators, providing a comprehensive assessment of sustainable banking linked to financial performance and efficiency through the analysis of indicators and methods in an integrated manner.
JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT
(2023)
Article
Business
Tomas Balezentis, Agne Zickiene, Artiom Volkov, Dalia Streimikiene, Mangirdas Morkunas, Vida Dabkiene, Erika Ribasauskiene
Summary: This article proposes a novel framework for assessing the viability of agri-food supply chains in the face of disruptive events. The method utilizes Monte Carlo simulation and expert evaluation to assess the viability of different stages of the supply chains. The framework is applicable to both short and long supply chains and has practical value. The evaluation of Lithuanian agri-food supply chains under the effects of COVID-19 and the Ukraine war reveals increased energy consumption as a major negative factor, but also shows slightly increased production outputs due to uninterrupted production activities.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
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.
