Article
Economics
Oluwasegun B. Adekoya, Johnson A. Oliyide, Oluwademilade T. Kenku, Oluwafisayo F. Ajayi
Summary: This study examines the role of technological innovation in the energy efficiency of the Belt and Road Initiative (BRI) countries. The findings show that endogenous technological innovation increases energy intensity in the BRI countries, particularly in the middle and higher quantiles. Even after removing China from the data, the impact on the results is minimal, indicating that the relationship between technological innovation and energy efficiency remains consistent. Additionally, China's technological innovation has a reducing spillover effect on the energy intensity of the BRI countries.
Article
Economics
Florence Appiah-Twum, Xingle Long
Summary: This study investigates the environmental efficiency of 14 Asia Pacific economies. Using a metafrontier super epsilon based model (EBM), we evaluate environmental efficiency, taking into account environmental technology heterogeneity. We compare the convergence of environmental efficiency across different regions and analyze the impact of trade competitiveness on environmental efficiency. Additionally, we explore the effects of green technology and human capital on environmental efficiency from the perspective of endogenous growth. The findings suggest that there are stochastic and absolute beta-convergence tendencies, and human capital plays a role in enhancing environmental efficiency convergence. However, the impact of trade competitiveness on environmental efficiency convergence is mixed, depending on factors such as scale, composition, and technical effects.
ENVIRONMENTAL & RESOURCE ECONOMICS
(2023)
Article
Environmental Sciences
Rethabile Mpeqa, Hua Ping Sun, Jean-Jacques Dominique Beraud
Summary: Carbon emissions are a major cause of global climate change and most countries are willing to adopt new policies to tackle this global problem. This study compares the impacts of export, import, and innovation on carbon emissions in 29 selected countries with the Belt and Road Initiative. The results show that exports and imports have a negative effect on carbon emissions, while population size and energy efficiency increase carbon emissions. However, the adoption of green energy through innovation has a significant impact on reducing carbon emissions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Thermodynamics
Qiang Wang, Chen Zhang, Rongrong Li
Summary: Improving carbon emission efficiency is a cost-effective measure to achieve carbon peak and carbon neutrality. Factors such as urbanization and population aging have different effects on carbon emission efficiency in low-income countries compared to high-income countries. Trade openness has a negative impact on carbon emission efficiency, but plays a vital role in high-income economies. The utilization and development of renewable energy and industrialization contribute to the improvement of carbon emission efficiency.
Article
Green & Sustainable Science & Technology
Feng Dong, Yangfan Li, Xiaoyun Zhang, Jiao Zhu, Lu Zheng
Summary: The study found that industrial convergence has a positive impact on the energy efficiency of manufacturing, with deeper convergence leading to more significant effects; there is a spillover effect of industrial relevance, enhancing energy efficiency across the entire manufacturing sector; technological innovation serves as a key intermediary for the effects of industrial convergence.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Public, Environmental & Occupational Health
Zahid Hussain, Cuifen Miao, Zhihao Zhao, Yingxuan Wang
Summary: This paper examines the relationship between the economy, public health, and the environment, investigates the impact of healthcare and environmental expenditures on economic efficiency, and provides recommendations.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Gulbahar Ucler, Roula Inglesi-Lotz, Nurgun Topalli
Summary: The Belt and Road Initiative (BRI) led by China is expected to promote trade, investment, and economic growth among participating countries. The study found that trade openness has a significant influence on renewable energy development, particularly in high-income BRI countries. Policy interventions can improve environmental quality in low-income countries.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Gulbahar Ucler, Roula Inglesi-Lotz, Nurgun Topalli
Summary: The Belt and Road Initiative (BRI) has a significant impact on renewable energy development, with trade openness positively influencing renewable energy consumption in high-income countries and reducing it in lower-middle-income countries. The impact on renewable energy consumption is insignificant in low-income countries. Overall, trade openness has a positive impact on renewable energy consumption.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Yao Hongxing, Olivier Joseph Abban, Alex Dankyi Boadi, Evans Takyi Ankomah-Asare
Summary: The study examines the determinants of economic growth along the Belt and Road Initiative economic corridors, finding heterogeneity and cross-sectional dependencies across regions. The results suggest a long-run equilibrium association of the employed variables, with varied contribution weights to economic growth across regional panel clusters. Causality results reveal bidirectional causal affiliations between energy consumption and economic growth in most panels, emphasizing the importance of factors like energy consumption, trade, urbanization, and CO2 emissions in driving economic growth along the BRI route.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Yu Zhang, Warren Jin, Miao Xu
Summary: This paper analyzes the efficiency of renewable energy in Latin American countries and finds that there is an upward trend in total factor efficiency, with technical efficiency being the main factor driving efficiency growth. Technological innovation is key for improving renewable energy efficiency in the region.
Article
Green & Sustainable Science & Technology
Zhihui Li, Xiangzheng Deng, Yue Zhang
Summary: By utilizing official data from countries involved in the Belt and Road Initiative, this study evaluated their socio-economic vulnerability and found a decreasing trend in average vulnerability levels. However, significant disparities existed among these countries, particularly within the South Asia and East Asia-ASEAN regions, highlighting the importance of reducing intra-regional disparities to improve overall resilience.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Junaid Ashraf, Zeeshan Ashraf, Aiman Javed
Summary: The Belt and Road Initiative (BRI) has had positive economic impacts but negative ecological consequences. This research examines the effects of institutional quality and renewable/non-renewable energy consumption on CO2 emissions for 75 BRI countries from 1990 to 2019. The findings show that improving institutional quality and increasing renewable energy negatively affect CO2 emissions, while non-renewable energy has a positive impact. It is crucial for BRI to establish effective plans to reduce non-renewable energy use, enhance institutional quality, resolve disputes, and promote harmony in affected nations.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Morie Guy-Roland N'Drin, Davo Ayuba Dahoro, Ariane Amin, Diby Francois Kassi
Summary: This paper develops a novel framework that assesses energy and emission efficiency convergence, gauges technology inequality, identifies barriers to technology diffusion, and explores factors influencing energy and emission efficiency convergence in Africa. The results show that there is room for energy saving and emissions reduction in African countries, and there is strong evidence of convergence in energy and emission efficiencies. However, there is significant heterogeneity between low and high-efficiency countries, suggesting a lower contribution of environmental technological advancements to Africa's sustainability.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Kai Xu, Ran Mei, Li Liang, Wei Sun
Summary: This research evaluates the sustainable innovation efficiency of EU countries and analyzes the convergence trends of EU regions. The results show that the EU attaches great importance to sustainable innovation efficiency and there are differences and convergence trends among regions.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Qi Xu, Salim Khan, Xiaojuan Zhang, Muhammad Usman
Summary: This study fills the research gap regarding the correlation between urbanization, rural energy poverty, and carbon emissions in the Belt and Road Initiative region by analyzing panel data from 48 participating countries. The findings suggest that rural energy poverty is associated with higher levels of carbon emissions, while urbanization has a mitigating effect on such emissions. Additionally, the adoption of environmentally sustainable technologies by foreign companies leads to a decrease in carbon emissions. Economic growth and industrialization, however, have detrimental environmental consequences through increased carbon emissions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Operations Research & Management Science
Yue-Jun Zhang, Ya-Fang Sun, Bao-Feng Huo
Summary: This paper investigates the impact of carbon quota allocation rules in China's pilot carbon emissions trading regions and how to achieve optimal product prices and effective allocation of carbon emission reduction profits in a cooperative supply chain. The results show that increasing carbon prices can improve retail prices under the auctioning rule. However, the growing low-carbon awareness of consumers does not always lead to higher wholesale and retail prices. Under the free carbon quota allocation rules, the optimal wholesale and retail prices under the Stackelberg game are consistently higher than those under the Nash equilibrium. Additionally, the auctioning rule is more effective in reducing carbon emissions compared to free allocation rules.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Economics
Tian-Tian Zhu, Ya-Hua Lu, Yue-Jun Zhang
Summary: This study evaluates the S&T innovation efficiency of 31 universities in China during 2013-2017 using the global Malmquist-Luenberger index and panel Tobit model methods, and analyzes its influencing factors. The results indicate that the S&T innovation efficiency of universities improved overall, but there are regional differences, with lower efficiency in the east.
Article
Business, Finance
Li Wang, Xin-Hua Zhang, Yue-Jun Zhang
Summary: This study proposes a classified self-selection sales electricity pricing mechanism for different household sizes. The results indicate that this mechanism can save energy, increase supplier's income, and reduce residents' electricity consumption.
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE
(2023)
Article
Green & Sustainable Science & Technology
Hua-Rong Peng, Yue-Jun Zhang, Jing-Yue Liu
Summary: This study examines the impact of digital development on electricity consumption in Chinese cities and finds that it has a positive influence, particularly in eastern, high-income, and high-tertiary industry share regions. However, digital development also triggers a rebound effect in electricity consumption, especially in the early stages. The results emphasize the importance of addressing the digital rebound effect and promoting low-carbon digital development.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Economics
Yue-Jun Zhang, Han Zhang
Summary: This paper examines the smooth and sharp structural changes in crude oil price volatility and evaluates the performance of GARCH models based on these changes for forecasting. The empirical results show that the flexible Fourier form (FFF) GARCH models, which consider smooth shift, accurately capture structural changes and outperform traditional GARCH models in fitting and forecasting. The Markov regime switching (MRS) GARCH model, incorporating regime switching, performs better in fitting but not necessarily in forecasting compared to single-regime GARCH models. Overall, FFF-GARCH models outperform MRS-GARCH models in forecasting crude oil price volatility and portfolio performance.
Article
Business, Finance
Yue-Jun Zhang, Han Zhang
Summary: The paper focuses on the smooth and sharp structural changes in crude oil futures volatility and explores whether different structural change-based HAR models exhibit significantly better performance for crude oil return volatility forecasting than traditional HAR-type models. The empirical results indicate that the flexible Fourier form (FFF) based HAR-type models and the Structural Breakpoints (SB) based HAR-type models yield superior forecasting performance than traditional HAR-type models, particularly for short- and medium-term forecasts.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2023)
Article
Agricultural Economics & Policy
Yue-Jun Zhang, Jing-Yue Liu, Richard T. Woodward
Summary: Consolidating and expanding poverty alleviation while reducing carbon emissions is a key issue in China. The Chinese Certified Emission Reduction (CCER) trading programme serves as a supplementary mechanism to China's carbon trading market. In this study, the poverty reduction effect of CCER trading on rural areas was investigated using data from 1782 counties in China from 2006 to 2017. The findings show that CCER trading has increased per capita net income of rural residents by at least 2.5% annually, with a greater effect in poor counties and regional differences.
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Yue-Jun Zhang, Wei Shi
Summary: This study develops a theoretical model to explore the role of carbon emissions trading (CET) in promoting enterprise green investment. Using panel data from China's carbon-intensive listed enterprises, the study empirically evaluates the effect of CET on green investment and discusses regional and industrial differences in this effect. The results indicate that CET has a complex impact on enterprise green investment, with variations in different regions and industries.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Thermodynamics
Ya-Fang Sun, Shiwei Yu, Yue-Jun Zhang, Bin Su
Summary: A study finds that the imports dependency of China has decreased from 27% to 14% between 2007 and 2020, but its impact on the embodied energy consumption in final demands remains unresolved. By employing environmentally extended input-output analysis and structural decomposition analysis, this research explores the effects of import changes. At the national level, the input imports effect contributes about 15% to the growth of embodied energy consumption, while the demand imports effect contributes no more than 5%. At the sectoral level, the input imports effect occurs mainly through the metals sector from the supply side, but mainly through the electrical and optical equipment sector from the demand side. The study also identifies critical supply chains that can facilitate the input imports effect, and highlights the sectors through which the demand imports effect primarily occurs.
Article
Economics
Yue-Jun Zhang, Mengfan Du
Summary: This paper examines the impact of the digital economy on urban carbon emissions, including digital industrialisation, industrial digitalisation, and digital governance. The results show that digital development in Chinese cities reduces urban carbon emissions, and this result is robust. Further investigation reveals that industrial digitalisation and digital governance are the foundations of carbon reduction effects. Finally, there is significant regional heterogeneity in the impact of China's digital development on urban carbon emissions, with greater potential for emissions reduction in less developed regions and carbon trading policy helping exploit the digital emissions reduction potential in developed regions.
Article
Business
Jing-Yue Liu, Yue-Jun Zhang, Charles H. H. Cho
Summary: This study investigates the effect of corporate environmental information disclosure (EID) on green innovation in China's heavily polluting industries during 2009-2020 and the moderating effect of Chief Executive Officer (CEO) visibility. The results show that corporate EID increases green innovation, and CEO visibility strengthens the positive impact of corporate EID on green innovation. The study also finds that the leverage effect, not crowding-out effect, contributes to the green innovation fostered by EID. Moreover, state-owned, large, and established enterprises benefit more from the promotion effect of EID on green innovation and the positive moderating effect of CEO visibility.
CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT
(2023)
Article
Business, Finance
Yue-Jun Zhang, Han Zhang, Rangan Gupta
Summary: This paper selects the NASDAQ CTA Artificial Intelligence and Robotics (AIRO) Index as the research target and proposes innovative hybrid methods to forecast its returns. The empirical results demonstrate that the AIRO index returns have complex structural characteristics, and the newly proposed hybrid forecasting method can optimize the forecasting performance.
FINANCIAL INNOVATION
(2023)
Article
Psychiatry
Jia-li Liu, Tao Chen, Ji-fang Cui, Hai-song Shi, Ming-yuan Gan, Ya Wang
Summary: This study examined the differences in attentional control and prospective memory performance between patients with schizophrenia and healthy controls. The results showed that patients with schizophrenia had lower prospective memory accuracy and attentional control index compared to healthy controls. The relationship between prospective memory accuracy and attentional control index was significant in healthy controls but not in patients with schizophrenia.
COGNITIVE NEUROPSYCHIATRY
(2023)
Article
Economics
Mengfan Du, Yue-Jun Zhang
Summary: Using panel data of 278 Chinese cities from 2004 to 2017, this study investigates the impact of China's producer services agglomeration on green economic development and examines the moderating effects of relevant industrial and environmental regulation policies. The results show that producer services agglomeration promotes China's green economic development through industrial structure upgrading and green technology innovation. The development zone upgrading policy and command-and-control carbon emissions reduction policy can strengthen the positive impact of producer services agglomeration on the green urban economy, while the carbon trading policy does not affect its green economic effect during the sample period.
Article
Environmental Studies
Jin Wei, Zong Chen, Xiang-Yong Kong, Yue-Jun Zhang
Summary: This paper aims to explore a prevention-oriented route - a vertical pedestrian system for high-rise buildings based on scheme phase, which strengthens the ability of ecological order restoration and helps occupants in recovering from high-density environment. The feasibility and effectiveness of the system have been verified through scheme selection, numerical simulation, and field measurements. The results show that the system can significantly improve thermal comfort and spatial integration.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
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)
