Article
Environmental Sciences
Guobao Xiong, Junhong Deng, Baogen Ding
Summary: This study reveals the temporal and spatial differentiation of China's regional tourism carbon emissions and its decoupling relationship with tourism economic growth, providing a reference for emission reduction policies. The analysis indicates significant growth in tourism carbon emissions across regions in China, with varying degrees of decoupling between emissions and economic growth. Driving factors affecting emissions differ across regions, with tourism scale and consumption leading to emission growth, while energy intensity plays a role in reducing emissions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Bin Liao, Shenrui Zhu, Yi Hua, Fangyi Wan, Xinlin Qing
Summary: The paper proposes an efficient decoupling method for solving large-scale multi-agent path finding problems. By dividing the problem into three subproblems and using a prioritized planning algorithm, the speed and success rate of solving are significantly improved.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Environmental Sciences
Weifeng Gong, Chuanhui Wang, Zhenyue Fan, Yang Xu
Summary: This paper analyzes the factors and effects of carbon dioxide emissions, predicts the elastic decoupling trend between carbon dioxide emissions and economic growth in China, and points out that economic growth is the main driver of carbon dioxide emissions, while energy intensity and consumption structure have inhibitory effects on emissions. In the upcoming 14th and 15th Five-Year Plans, it is expected that carbon dioxide emissions will experience weak decoupling.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Biodiversity Conservation
Feng Dong, Jingyun Li, Xiaoyun Zhang, Jiao Zhu
Summary: A new decoupling index has been developed to better reflect the decoupling trend. The analysis shows that the new decoupling index has a higher fitting degree than the original decoupling index, and it is more conducive to a comprehensive analysis of China's decoupling trend. The findings suggest that the new decoupling index can significantly improve the formulation of efficient policies for energy conservation and haze reduction.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Studies
Shengnan Cui, Yanqiu Wang, Ping Xu, Yingjian Shi, Chuang Liu
Summary: Carbon governance plays a crucial role in China's green transformation, with integrated process control (IPC) identified as a key factor in carbon reduction. Technical intensity effect is the driving force behind carbon emission reduction. Although carbon emissions show decoupling trends with economic growth, the development of decoupling lags behind economic growth.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Green & Sustainable Science & Technology
Yong Xiao, Cheng Yong, Wei Hu, Hanyun Wang
Summary: This research examines the influencing factors and effects of carbon emissions in eight high-carbon industries in Zhejiang Province. The results show an overall upward trend in carbon emissions, with economic growth, population size, and energy intensity being the main drivers of carbon emission increase.
Article
Green & Sustainable Science & Technology
Feng Wang, ZaiXu Zhang
Summary: By studying the sustainable development paths of the top five energy consumers (China, the United States, India, Japan, and Russia), this research aims to achieve coordinated development between domestic and global economy in response to the growing energy demand. The findings suggest that technological factors and urbanization are the main driving forces behind energy consumption growth, while energy intensity and R&D efficiency act as barriers. Therefore, the government should prioritize technological innovation to accelerate the development and promotion of energy-saving and emission-reduction technologies.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Business, Finance
Xiangning Wang, Qian Huang, Shuguang Zhang
Summary: This article examines the response of BRICS stock prices to shocks of internal and external macroeconomic factors in different market states and over various investment horizons using the variational mode decomposition and quantile model. The results of quantile regression show complex and changeable influences of each factor across countries, market states, and time horizons, exhibiting obvious differences but also a certain degree of similarity. Moreover, the relationship between stock prices and macroeconomic variables behaved notably differently during the financial crisis in 2008 compared to other periods. Thus, paying attention to the investment horizon and market state is of extraordinary significance for various market participants.
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE
(2023)
Article
Economics
Frederico Perillo, Patricia Pereira da Silva, Pedro A. Cerqueira
Summary: This paper decomposes the electricity intensity in the European Union from 1995 to 2019 into structure, efficiency, and electrification components, showing that the impact of efficiency component is greater than expected and requires continued technological innovation. The electrification component contributes to the increase in electricity intensity, while the structural element has a minor influence. Country-specific efficiency policies may be considered given the distinct values and particularities of each EU-28 country.
Article
Computer Science, Artificial Intelligence
Meng Wang, Xiaojie Guo, Wenjing Dai, Jiawan Zhang
Summary: This paper proposes a deep learning framework to disentangle face images into their corresponding albedo, normal, and lighting components in the wild, using a decomposition network with a hierarchical subdivision strategy. By taking image pairs captured from arbitrary viewpoints as input, the approach can greatly mitigate the pressure from data preparation and expand the applicability of face inverse rendering. Extensive experiments demonstrate the superior performance of the design in face relighting over other state-of-the-art alternatives.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2022)
Article
Biodiversity Conservation
Xiaoxiao Liu, Shuiying Zhong, Mian Yang
Summary: This paper introduces a new decoupling model and analyzes the economic growth and CO2 emissions of Chinese provinces, resulting in three main conclusions.
ECOLOGICAL INDICATORS
(2022)
Article
Economics
Debin Fang, Bolin Yu
Summary: This paper investigates the spatial-temporal drivers and decoupling effect of industrial PM2.5 emissions in China, revealing that population distribution is the main factor for spatial heterogeneity of industrial PM2.5 emissions, and industrial development effect is the main reason for the increase in emissions. The results provide important insights for reducing industrial PM2.5 emissions.
Article
Environmental Sciences
Xuemin Qin, Xiaoxuan Hu, Wei Xia
Summary: The water environmental problems associated with rapid socioeconomic growth have gained widespread attention. This study investigates the decoupling mechanism between the social economy and lake water environment and provides an important breakthrough point for sustainable economic development. The results show that the DPSIR indexes have an upward trend and there is synchronization between the social economy and lake water environment improvement. However, there is inconsistency between the improvement rate of the lake water environment and the increase rate of response strategies.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Engineering, Multidisciplinary
Li Cong, Hu Bin, Hu Zongjun, Niu Zhongrong
Summary: A new method is proposed to simulate crack propagation paths in multi-cracked structures. The complete displacement and stress fields are calculated using XBEM and characteristic analysis of crack tips. By considering non-singular stress terms, crack initiation angles are obtained, leading to the formation of a new multi-cracked structure with crack propagation paths determined. The results obtained by XBEM show good agreement with experimental results.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2021)
Article
Engineering, Environmental
Chang-Fei Yu, Shang-Hao Liu, Liang Yuan, Dan -Dan Wei
Summary: In this study, the thermal decomposition of cumene hydroperoxide (CHP) was investigated using differential scanning calorimetry under a nitrogen atmosphere. Kinetic analysis was performed and the gaseous products of thermal decomposition were analyzed. The possible decomposition path of CHP was discussed, filling the gap of unclear decomposition mechanism in an inert atmosphere and providing important reference for its industrial production and application.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Regional & Urban Planning
Qingfang Wang
Summary: This study examined the experiences of Latina-owned businesses (LaOBs) in coping with the COVID-19 pandemic in inland Southern California using an evolutionary resilience perspective. The findings revealed that the short-term crisis attributed to COVID-19 is rooted in long-term underinvestment in entrepreneurship and business development in underserved communities. Socioeconomic vulnerability at both the individual and community levels affects LaOBs' resilience, which is also influenced by pre-pandemic networking and institutional structures. Continuous investment in technology, education, and social network building in underserved communities, as well as fostering an inclusive entrepreneurship ecosystem, is necessary to build preparedness and resilience among racial and ethnic minority-owned businesses.
JOURNAL OF THE AMERICAN PLANNING ASSOCIATION
(2023)
Article
Environmental Studies
Qiang Wang, Chen Zhang, Rongrong Li
Summary: This study aims to measure the intertemporal financial efficiency of emerging economies and investigate the impact of financial development on energy efficiency. The findings suggest that the effect of financial efficiency on energy efficiency is related to the industry allocation of financial institutions. Enterprises in technology-intensive industries contribute significantly to the profits of financial institutions and their products and achievements contribute to energy consumption reduction and energy efficiency improvement. Furthermore, rising levels of wealth holdings among residents indirectly promote energy efficiency.
MANAGEMENT OF ENVIRONMENTAL QUALITY
(2023)
Article
Environmental Sciences
Qiang Wang, Lejia Li, Rongrong Li
Summary: Income inequality and carbon emission efficiency are crucial factors in achieving UN sustainable development goals. However, research on the relationship between these two factors has been lacking. This study uses panel data from 139 countries between 1998 and 2018 to explore how income inequality affects carbon emission efficiency, considering the influence of aging and economic growth. The results indicate that income inequality inhibits the improvement of carbon emission efficiency and that the relationship between income inequality and carbon emission efficiency is influenced by aging and economic growth, showing U-shaped and inverted U-shaped patterns respectively. Policy recommendations are provided based on the changes in spatial and temporal distributions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Energy & Fuels
Qiang Wang, Jiaqi Guo, Rongrong Li, Alexey Mikhaylov, Nikita Moiseev
Summary: The sub-Saharan Africa region is vulnerable to the influence of neighboring countries due to its geographic location, yet little research has considered the spillover effect of technical assistance in the recipient country. A dynamic space Dubin approach based on an asymmetric space weight matrix was developed to fill this research gap. The results show that there is a positive correlation in space, indicating a spatial spillover effect that can promote the power development of the recipient country.
ENERGY STRATEGY REVIEWS
(2023)
Article
Management
Qiang Wang, Min Zhang, Rongrong Li
Summary: This study undertakes a systematic analysis of the supply chain literature to uncover the changes and patterns of international cooperation during the COVID-19 pandemic. The results show that the growth rate of international cooperation in supply chain research during the pandemic has increased compared to pre-pandemic periods. The study also reveals the strong partnership between China and the USA in supply chain research.
BENCHMARKING-AN INTERNATIONAL JOURNAL
(2023)
Article
Environmental Studies
Qiang Wang, Lili Wang, Rongrong Li
Summary: This study investigates the impact of the COVID-19 pandemic on pollutants at different temperatures in Hubei, China. A panel nonlinear model with autonomous search thresholds is utilized to explore the relationship between the cumulative number of confirmed cases and PM2.5. Results reveal a negative non-linear relationship between the two variables, with a more detailed analysis provided by the panel threshold regression model. The study provides valuable insights into the effect of COVID-19 on pollution at varying temperatures and offers a methodological reference for studying their nonlinear relationship.
ENERGY & ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Qiang Wang, Ting Yang, Rongrong Li
Summary: Existing studies have shown that the economic complexity index (ECI) has a significant impact on environmental quality, but they have not taken into account the mediating effect of other key factors on the relationship between the two, thus neglecting the structural break and non-linear characteristics of the relationship between ECI and environmental quality. To fill this research gap, this study constructs a decomposition framework and multiple panel threshold regression models based on an extended STIRPAT model using panel data from 36 OECD countries. The results suggest a nonlinear relationship between ECI and ecological footprint, with the energy consumption structure, industrial structure, and human capital acting as key mediators. The study also proposes targeted policy recommendations to mitigate the effects of economic complexity on environmental quality, focusing on energy structure, industrial structure, and labor force.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Qiang Wang, Jiale Guo, Rongrong Li
Summary: The pursuit of sustainable development has become a prevalent goal in many countries, with renewable energy development considered a prime alternative that stimulates economic prosperity and reduces carbon emissions. The study finds that wind, solar, and hydro energy can all promote economic growth and lower carbon emissions, with wind energy being the most effective in emission reduction and hydro energy being the most effective in promoting economic development. The panel threshold model analysis further reveals different effects of solar, wind, and hydro energy on CO2 reduction across economic levels.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Lei Zhang, Qiang Wang, Junping Lv, Chao Zhang
Summary: Land-use change has a significant influence on soil respiration in terrestrial ecosystems, with soil microbes playing a critical role in soil carbon cycling. However, the specific mechanisms linking changes in soil microbial properties to variations in respiration rate during land-use change are poorly understood, especially in the Loess Plateau, China. This study analyzed the characteristics of respiration rate and soil microbial community following a land-use change from farmland to plantation/grassland using a soil CO2 flux system and gene sequencing. Afforestation altered soil microbial diversity and composition, primarily influenced by pH, temperature, organic matter, nitrate, alkali-hydrolyzed nitrogen, and available phosphorus. Bacteroidetes, Firmicutes, and Thaumarchaeota were identified as biomarkers in farmland soil at the phylum level. Afforestation also significantly decreased respiration rate, which was closely related to Shannon's index, Simpson's index, and certain microbial taxa including Bacteroidetes, Firmicutes, Nitrospirae, and Acidobacteria. Bacteroidetes and Firmicutes were particularly identified as important drivers of high respiration rate in farmland soil. Additionally, microbial interactions were likely an important factor affecting respiration rate. These findings highlight the influence of soil microbial communities regulated by physicochemical properties on the response of respiration to land-use change in the Loess Plateau, China.
LAND DEGRADATION & DEVELOPMENT
(2023)
Article
Energy & Fuels
Rongrong Li, Qiang Wang, Lejia Li
Summary: This study investigates the impact of increasing renewable energy consumption on environmental pressures, such as per capita carbon emissions and per capita ecological footprint. Through panel threshold regression estimation, data from 130 countries and three income groups from 1992 to 2019 were analyzed. The results indicate a negative relationship between renewable energy consumption and environmental pressures, with a stronger effect observed as renewable energy consumption increases. Additionally, renewable energy has a more significant reduction in per capita ecological footprint in low-income countries compared to middle-income countries, suggesting its effectiveness in alleviating environmental pressures varies across income groups.
ENERGY STRATEGY REVIEWS
(2023)
Article
Environmental Studies
Qiang Wang, Feng Ren, Rongrong Li
Summary: This study examines the impact of geopolitical changes on international scientific research cooperation through a case study of Sino-US cooperation in marine pollution research. Findings indicate that the worsening of US-China relations did not decrease the number of publications in this field, with both countries experiencing an increasing trend. China has surpassed the US in scientific research output in marine pollution since 2015. Additionally, collaborative publications between the two countries are increasing, and scientific research ties remain strong despite deteriorating international relations. The impact of geopolitics on inter-country research cooperation in the field of marine pollution between the US and China is not evident.
Article
Environmental Studies
Qiang Wang, Chen Zhang, Rongrong Li
Summary: This paper develops a data envelopment analysis model to measure carbon efficiency and analyzes the effects of renewable energy on carbon efficiency using panel data for 116 countries. The results show that there are differences in carbon efficiency among different income groups, and there is an intermediary effect between renewable energy and carbon efficiency. The positive effect of renewable energy on carbon efficiency becomes more effective with the increase of income level. Targeted policy recommendations are proposed based on the findings.
ENERGY & ENVIRONMENT
(2023)
Article
Environmental Studies
Qiang Wang, Yunfei Ge, Rongrong Li
Summary: With the global expansion of economic activities, environmental degradation has become an increasingly severe challenge. The Sustainable Development Goals are heavily impacted by this issue, necessitating a symbiotic relationship between economic development and environmental protection. Investigating the efforts of the OECD to promote ecological protection is crucial, as it is a leading economic cooperation organization.
ENERGY & ENVIRONMENT
(2023)
Article
Environmental Studies
Qiang Wang, Xinchen Cheng, Rongrong Li
Summary: The relationship between the digital economy and carbon emissions in G7 countries is studied using the intermediary effect model based on technological innovation and the panel threshold model based on trade openness and energy intensity. Additionally, a quantile regression analysis is conducted to analyze the impact of the digital economy under different carbon emission levels. The empirical results show that the digital economy has a significant inhibitory effect on per capita carbon emissions, indirectly affecting them through technological innovation. The carbon emission reduction effect of the digital economy is greater at lower emission levels, with significant thresholds in trade openness and energy intensity.
ENERGY & ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Qiang Wang, Jiaqi Guo, Rongrong Li
Summary: Impoverished sub-Saharan Africa (SSA) is facing increasing environmental pressure from global environmental changes. It is widely accepted that economic development in SSA countries can lead to environmental pressure, but there is a research gap on the impact of economic assistance on environmental pressure in SSA countries and the spatial spillovers it causes. To address this, a dynamic spatial Dubin panel model was used to analyze the panel data from 34 SSA countries. The results indicate that economic assistance has a positive stimulating effect on environmental pressures in recipient countries, with neighboring countries being affected due to regional correlation effects. It is crucial to develop joint regional prevention and control policies to address the spillover effects of environmental pressures.
GEOGRAPHY AND SUSTAINABILITY
(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)