Article
Environmental Sciences
Boyu Liu
Summary: With the rapid economic growth in China, improving energy efficiency has become crucial due to the constraints of energy issues on economic development and the environment. This study focuses on the Pearl River Delta region, where high energy consumption and pollution emissions pose challenges. The analysis reveals that, except for Guangzhou and Shenzhen, all regions in the Pearl River Delta show obvious energy inefficiency. Based on the findings, this study provides relevant suggestions for energy reform in the region.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Zile Zheng
Summary: This paper analyzes the energy efficiency of 23 cities by evaluating Total Factor Energy Efficiency (TFEE). The results show significant differences in TFEE changes among regions, with cities like Harbin, Shanghai, and Changsha showing an upward trend while Chengdu, Chongqing, and others have minor changes. Inadequate resource allocation and lack of technological innovation are the main reasons for the decline in Total Factor Productivity (TFP).
Article
Green & Sustainable Science & Technology
Hanxin Wang, Weiqian Liu, Yi Liang
Summary: This paper analyzes the carbon emission efficiency of China's logistics industry, finding that the overall CO2 emission efficiency is moderate but showing a slight decline trend. The study also reveals a U-shaped pattern in CO2 emission efficiency as environmental regulations become more stringent, initially declining and then rising. Environmental regulations can influence CO2 emission efficiency by affecting technological innovation, while energy efficiency plays a positive role in promoting CO2 emission efficiency.
Article
Energy & Fuels
Wasi Ul Hassan Shah, Gang Hao, Hong Yan, Rizwana Yasmeen, Yan Jie
Summary: Energy efficiency and emission reduction are important global concerns in the 21st century due to rapid economic and infrastructure growth. This study examines the energy efficiency of Chinese provinces and finds that there has been progress in the transition from energy security policy to energy efficiency with emission reduction policy. However, more efforts are needed to achieve the energy efficiency targets, especially in the central and western regions where there is a significant technological gap compared to the eastern coastal region.
Article
Thermodynamics
Ming Meng, Danlei Qu
Summary: China's green energy efficiency is slowly decreasing, with technological progress being a major driving factor but offset by energy overuse. Provinces with low efficiency tend to be clustered in energy-rich regions, while those with high efficiency are scattered in developed areas. The eastern region has the highest average level of green energy efficiency, while the central region has the lowest.
Article
Green & Sustainable Science & Technology
Zhuyuan Li, Xiaolong Wang, Run Zheng, Sanggyun Na, Chang Liu
Summary: This study analyzes the operational efficiency and total factor productivity of 32 container terminal companies in China. The research reveals the existence of efficiency gaps and resource waste in some container terminals, while highlighting the higher operational efficiency of terminals in the Bohai Rim, Pearl River Delta, and Yangtze River Delta regions. Furthermore, the study finds that most container terminal companies have imperfect management practices and decision making.
Article
Environmental Sciences
Wasi Ul Hassan Shah, Gang Hao, Hong Yan, Rizwana Yasmeen, Yuting Lu
Summary: This study examines the role of energy efficiency and productivity growth in the ecological improvement of South Asia, and evaluates the determinants of energy productivity change across different South Asian countries. The results show that South Asian countries have the potential to improve their energy efficiency by 27.22%. Technological change, rather than efficiency, is found to be the primary driver of energy productivity growth. The study also highlights a decline in energy efficiency and productivity in South Asia over the study period.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Public, Environmental & Occupational Health
Jing Gong, Leiyu Shi, Xiaohan Wang, Gang Sun
Summary: This study analyzes the efficiency of health resource allocation in Sichuan Province from 2010 to 2018 and provides suggestions for optimizing resource allocation. The study finds that although the total allocation of health resources has been increasing, the allocation efficiency is not high, with significant regional differences and unscientific allocation of resource scale.
INTERNATIONAL HEALTH
(2023)
Article
Green & Sustainable Science & Technology
Kaifeng Wang, Xikang Zhao, Biyu Peng, Yunmin Zeng
Summary: This paper empirically tests the inhibitory effect of China's total factor energy efficiency progress on PM2.5, providing a new evaluation index for energy conservation in China and pointing out an effective path of energy conservation and emission reduction in line with China's current high-quality development strategy. The study uses panel data of 105 key environmental protection cities in China to evaluate total factor energy efficiency and spatial econometric models to test the impact of energy efficiency progress on PM2.5 concentration, showing a significant positive spatial autocorrelation in PM2.5 concentration and the ability of energy efficiency progress to inhibit PM2.5 pollution in local and adjacent cities.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Sedef E. Kara, Mustapha D. Ibrahim, Sahand Daneshvar
Summary: This study examines the efficiency and productivity of renewable energy sources in OECD countries, with bioenergy identified as the most efficient option. Countries should tailor their renewable energy portfolio to their strengths for improved efficiency.
Article
Environmental Sciences
Qianrong Wu, Lanzhuang Xu, Xianhui Geng
Summary: This paper investigates the eco-efficiency of hog production and the determinants of eco-efficiency in China. The results show that there is a significant variation in eco-efficiency across provinces. Furthermore, the improvement of technical efficiency has a positive effect on eco-efficiency, while factors such as policy, industry structure, and prices have negative effects.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Social Sciences, Interdisciplinary
Wanxin He, Jianhua Fu, Youxi Luo
Summary: In the context of industrialized green reform, the well-being of people and sustainable development take precedence over mere economic growth. Decision-makers in the government need to prioritize adjusting people's livelihoods according to the green economy and ecological environment. This study developed a comprehensive livelihood well-being index and incorporated it into an eco-efficiency assessment system using data from 31 Chinese provinces. The results showed significant improvements in the western region, underutilized technology in China, and inter-regional variances as the main drivers of spatial differences in eco-efficiency.
SOCIAL INDICATORS RESEARCH
(2023)
Article
Environmental Sciences
Lizhen Huang, Yixiang Zhang, Xu Xu
Summary: This study expands the meaning and evaluation system of ecological efficiency from the perspective of improving people's livelihoods. By analyzing empirical data of Zhejiang Province, it examines the spatial and temporal variation, regional imbalance, and key factors influencing ecological efficiency.
ENVIRONMENTAL MODELING & ASSESSMENT
(2023)
Article
Energy & Fuels
Xiaojia Guo, Xin Wang, Xueling Wu, Xingpeng Chen, Ya Li
Summary: Shanxi Province, an important energy base in China, heavily relies on coal resources for its economic development, resulting in significant carbon dioxide emissions and ecological problems. This paper utilized the SBM-DEA model and Malmquist index to assess the energy consumption and carbon emission efficiency of 11 prefecture-level cities in Shanxi from 2000 to 2020. The findings revealed variations in carbon emission efficiencies among the cities, with Taiyuan and Shuozhou exhibiting higher technical efficiency, technological progress, and total factor productivity compared to others. Although the carbon emission rate in Shanxi has slowed down, challenges such as a large total emission base, high carbon emission intensity, and low unit carbon emission efficiency persist. The industrial structure plays a vital role in hindering improvements in carbon emission efficiency. The study also observed a gradual dispersion and enhancement of carbon emission efficiency from the central and northern regions to the southern regions of Shanxi Province during the period. To attain a low-carbon economy, Shanxi Province needs to optimize its industrial structure, expedite research and development in low-carbon technologies, adjust its energy structure, and promote the establishment of an energy supply system centered around clean low-carbon energy sources.
Article
Green & Sustainable Science & Technology
Lipeng Chen, Yang Yu, Amsalu K. Addis, Xiao Guo
Summary: Education plays a crucial role in enhancing a country's comprehensive national strength and international competitiveness. This study analyzed and compared the educational efficiency of 29 major countries using data envelopment analysis and the super-slacks-based measure model. The results revealed significant differences in education efficiency among the studied countries, with Japan having the highest efficiency and Norway the lowest. The study also found that technological progress directly affects the sustainability of educational efficiency and is the main factor influencing the rise of the education TFP index.
Article
Automation & Control Systems
Chia-Nan Wang, Thi-Ly Nguyen, Thanh-Tuan Dang
Summary: This paper proposes a hybrid model to determine the most potent green supplier in the steel manufacturing industry in Vietnam. Through expert assessment and ranking, Hoa Phat Group Joint-stock company, Hoa Sen Group, and Pomina Steel Corporation are identified as the top three optimal suppliers.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2022)
Article
Automation & Control Systems
Chia-Nan Wang, Tran Quynh Le, Thanh-Tuan Dang
Summary: Vietnam has great potential for solar power due to its advantageous geographical location. This paper measures the operational efficiency of solar photovoltaic power plants in Vietnam using data envelopment analysis with the epsilon-based measure model. The results demonstrate the robustness of the applied models. This study provides practical and timely solutions for decision-makers in the solar energy industry, as well as critical guidance for decision-making problems in other industries worldwide.
MEASUREMENT & CONTROL
(2023)
Article
Chemistry, Multidisciplinary
Chia-Nan Wang, Thuy-Duong Thi Pham, Nhat-Luong Nhieu
Summary: After the pandemic, global supply chains will be restructured, with production lines being relocated among countries for sustainable development. Determining the most suitable destination for manufacturers' investments becomes crucial, especially in high-tech manufacturing involving complex factors like technological maturity, support policies, political issues, and technology security. Southeast Asia is considered attractive to multinational manufacturers. To address this, a novel regret-theory-based spherical fuzzy prioritization approach is proposed, combining efficiency evaluation using super-efficiency slack-based model (super-SBM) and effectiveness determination using spherical fuzzy regret-theory-based decision-making approach (SfRDMA). The findings highlight the importance of government policy, political stability, and human resources availability, and identify India, Thailand, Vietnam, Malaysia, and Indonesia as promising destinations for high-tech production lines.
APPLIED SCIENCES-BASEL
(2023)
Article
Mathematics, Applied
Kuei-Hu Chang, Hsiang-Yu Chung, Chia-Nan Wang, Yu-Dian Lai, Chi-Hung Wu
Summary: Risk evaluation is crucial in product design and manufacturing, aiming for high quality and preventing failure under limited resources. The failure mode and effects analysis (FMEA) is widely used, but it often ignores objective weights and expert information, leading to inaccurate results. To address this, a hybrid Fermatean fuzzy set and entropy method is proposed to comprehensively assess failure risks, demonstrating improved accuracy compared to traditional methods.
Article
Energy & Fuels
Chia-Nan Wang, Yu-Chi Chung, Fajar Dwi Wibowo, Thanh-Tuan Dang, Ngoc-Ai-Thy Nguyen
Summary: Indonesia has recognized the importance of transitioning to renewable energy sources and has proposed a methodology to optimize the site selection of solar power plants. This study integrates DEA, F-AHP, and F-MARCOS models to consider quantitative and qualitative criteria for evaluating potential locations. The findings are valuable for policymakers, industry stakeholders, and researchers interested in renewable energy development and site selection.
Article
Chemistry, Multidisciplinary
Chia-Nan Wang, Thuy-Duong Nguyen, Nhat-Luong Nhieu, Ming-Hsien Hsueh
Summary: In recent years, digital transformation has become a mandatory and urgent requirement for modernizing countries. This study aims to provide an overall understanding of healthcare digital transformation in the rapidly growing ASEAN region through a novel multi-criteria assessment method. The proposed method combines psychological behavior theories and multi-criteria decision-making methods to objectively determine the criteria weight and describe the decision maker's subjective psychology, contributing theoretical and practical insights to the benchmarking process.
APPLIED SCIENCES-BASEL
(2023)
Article
Mathematics
Chia-Nan Wang, Chao-Fen Pan, Hoang-Phu Nguyen, Pei-Chun Fang
Summary: As the need for long-term care among older people increases, it is essential to evaluate daycare centers, which provide localized long-term care services, for their growth and direction. However, current evaluation indexes fail to emphasize the significance of each index item or the actual effectiveness of an organization's operations and management. To address this issue, this research developed an evaluation model for the operation and administration of daycare centers using the Fuzzy Analytic Hierarchy Process (FAHP) and the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) techniques. The findings highlight the importance of organizational operation management and provide a novel evaluation methodology for nursing management efficacy.
Article
Electrochemistry
Chia-Nan Wang, Fu-Chiang Yang, Nhut T. M. Vo, Van Thanh Tien Nguyen
Summary: Innovative carbon reduction and sustainability solutions are essential for combating climate change. The utilization of lithium-ion batteries and electric power vehicles is a promising approach towards cleaner air. Prioritizing the efficiency and sustainability of lithium-ion battery manufacturing is crucial in mitigating climate change and creating a healthier planet.
Article
Green & Sustainable Science & Technology
Cheng-Wen Chang, Ming-Hsien Hsueh, Chia-Nan Wang, Cheng-Chun Huang
Summary: The outbreak of COVID-19 in 2020 had a significant impact on global shipping and the global economy, leading to disruptions. The Baltic Dry Index (BDI), a key indicator influenced by supply and demand conditions in the shipping industry, experienced an unexpected increase. This research paper investigates the impact of the pandemic on global shipping through a comprehensive analysis of the BDI, examining multiple variables before and after the pandemic. The findings highlight the dynamic changes in the factors influencing the BDI, particularly in the context of the unique circumstances brought about by the COVID-19 pandemic.
Article
Chemistry, Multidisciplinary
Chia-Nan Wang, Fu-Chiang Yang, Thi Minh Nhut Vo, Van Thanh Tien Nguyen, Mandeep Singh
Summary: This research examines the decision-making methods for machine selection in manufacturing businesses and emphasizes the importance of decision-making frameworks in these facilities. It presents a dual-MCDM approach commonly used in academic and practical industries. The research serves as a literature review for MDCM studies and related topics and provides guidance to executives, engineers, and specialists in improving product quality in manufacturing and industry.
APPLIED SCIENCES-BASEL
(2023)
Article
Mathematics
Chia-Nan Wang, Ngoc-Ai-Thy Nguyen, Thanh-Tuan Dang
Summary: This study aims to evaluate global third-party logistics providers from the perspectives of economic, social, and environmental sustainability. An integrated framework using MCDM and entropy objective weighting method is proposed to assist decision makers in this evaluation. The results show that carbon dioxide emissions are the most important criterion for the competitiveness of global logistics companies.
Article
Economics
Chia-Nan Wang, Hoang-Kha Nguyen, Nhat-Luong Nhieu, Hsien-Pin Hsu
Summary: This study aims to evaluate and consider sustainable and effective equipment installation sites in offshore energy exploitation based on both quantitative indicators and behavioral psychology. The Prospect Theory Data Envelopment Analysis (PT-DEA) model is utilized to analyze and evaluate the effectiveness of offshore installation site selection while taking into account human psychology. The study identifies sustainable and effective offshore installation sites by combining the results of quantitative indicators and decision-making behavior and compares them with relevant plans, projects, and development policies in New Zealand for confirmation.
MANAGERIAL AND DECISION ECONOMICS
(2023)
Article
Engineering, Multidisciplinary
Chia-Nan Wang, Thi Diem-My Le, Ngoc Thai Huynh
Summary: This study investigates the impact of geometrical parameters on the performance of the slider crank mechanism. An optimization model is used to find the optimal combination of process parameters, and experimental results validate the effectiveness of the model.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2023)
Article
Computer Science, Information Systems
Hsien-Pin Hsu, Chia-Nan Wang
Summary: This research focuses on developing a simulation-based optimization approach by hybridizing Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO) to achieve better solutions. Three hybrid approaches have been developed, and the experimental results show that Hybrid3 (WOA+PSO) outperforms other methods. Hybrid3 (WOA+PSO) utilizes techniques such as hybridization, Neighborhood heuristic, and adaptive movements of whales, which contribute to its superior performance.
Article
Mathematics, Applied
Chihkang Kenny Wu, Chia-Nan Wang, Thi Kim Trang Le
Summary: A hybrid fuzzy multi-criteria decision model was used to select the most suitable agritourism location in Vietnam for long-term investment, ultimately choosing Can Tho (A8) as the best investment site. The model estimated relative criteria ratings through fuzzy analytic hierarchy process and ranked potential locations using fuzzy technique for order preference, aiming to maximize resource utilization and local benefits.
