Article
Environmental Sciences
Jingjing Chen, Yiping Chen, Bingjing Mao, Xiaojun Wang, Lihong Peng
Summary: This study analyzes the characteristics of CO2 emissions from energy consumption in 30 regions of China from 2005 to 2018 and uses the STIRPAT model to identify the influencing factors. The results show that CO2 emissions in China have been increasing and the spatial distribution shows that the east has higher emissions than the west. The study also predicts that these emissions will continue to rise in 2030. Population is found to be the key factor influencing CO2 emissions in provinces.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Siyu Zhu, Ying Ding, Run Pan, Aifang Ding
Summary: The study uses the Tapio decoupling and extended STIRPAT models to analyze the differences in CO2 emissions characteristics and influencing factors in the Yangtze River Delta. The results show that CO2 emissions have a weak decoupling with economic growth. Factors have varying impacts on CO2 emissions among provinces, mainly due to development imbalances. Low-carbon-emissions technology is beneficial in controlling CO2 emissions in the region. To reduce CO2 emissions and achieve a peak, optimizing energy structure, upgrading industries, promoting low-carbon technologies, and advocating for a low-carbon lifestyle are essential.
Article
Environmental Sciences
Shiwang Yu, Qi Zhang, Jian Li Hao, Wenting Ma, Yao Sun, Xuechao Wang, Yu Song
Summary: Despite China's remarkable economic development in the past twenty years, it has come at a significant cost in terms of greenhouse gas emissions and environmental deterioration. A study conducted in Jiangsu, China analyzed statistical data from 2005 to 2019 and identified household size, unemployment rate, and other factors as significant drivers of household carbon dioxide emissions. The study proposes suggestions to reduce emissions, such as promoting a low-carbon lifestyle and considering population structure factors.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Litong Zhao, Tao Zhao, Rong Yuan
Summary: This study investigates the future evolution and peak times of household CO2 emissions (HCEs) from a provincial perspective in China. Using the STIRPAT model and three scenarios, the results show that most provinces can achieve HCEs peak before 2030, but there are still a few provinces that may not meet the emission target. Guangdong, Jiangsu, Hebei, Henan, Zhejiang, and Anhui are identified as key provinces for future HCEs reductions. Improving energy efficiency and promoting clean energy applications are effective measures for emission reductions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Shengxi Zhang, Zhongfu Li, Xin Ning, Long Li
Summary: The study found that population size, economic growth, construction of residential buildings, and technology level were the primary factors influencing CO2 emissions in the construction industry, and the impact trend declined from urbanized areas to urbanizing and under-urbanized areas.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Guanqiao Ding, Jie Guo, Steven G. Pueppke, Jialin Yi, Minghao Ou, Weixin Ou, Yu Tao
Summary: This study quantifies the compactness of urban form in 295 cities in China between 2000 and 2015 and examines its impact on CO2 emissions. The findings reveal a significant negative relationship between compact urban form and CO2 emissions. Two thresholds of compactness are detected, leading to three categories of cities with different impacts on carbon emissions reduction. The study highlights the importance of compact urban form as a strategy to reduce CO2 emissions and contributes to the design of low-carbon cities.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Hongwei Guo, Jia Jiang, Yuanyuan Li, Xinxin Long, Ji Han
Summary: This study conducts a quantitative investigation on the impact of aging on CO2 emissions in different regions of China, and projects the demographic change and CO2 emissions till 2050. It finds that CO2 emissions in China have significantly increased from 1995 to 2019 and will exhibit an inverted U-shaped growth till 2050 with a peak between 2030 and 2040. The study also highlights the regional difference in the impact of aging on CO2 emissions, with aging contributing to CO2 reduction in the eastern region but stimulating CO2 emissions in the central and western regions. Policy implications include integrating aging into decision-making for industrial structure upgrading and CO2 emission reduction, promoting low-carbon consumption and green products, and developing aging-oriented industries in different regions.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Ecology
Huiqiang Ma, Yuxin Liu, Zhe Li, Qing Wang
Summary: Analyzing the evolution and influencing factors of regional ecological footprint is crucial for promoting sustainable development of regional populations, resources, and the environment.
ECOLOGICAL INFORMATICS
(2022)
Article
Environmental Sciences
Xiaojing Zhao, Yanling Xi
Summary: Population size and industrial structure have a nonlinear impact on CO2 emissions in cities, and a reasonable match is needed; China should formulate differentiated population policies for cities with different industrial structures; for cities with a population size of more than 1.38 million, adjusting the industrial structure to prioritize the tertiary industry is an effective way to reduce CO2 emissions.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Jiying Wu, Olivier Joseph Abban, Alex Dankyi Boadi, Ofori Charles
Summary: This study analyzes the marginal impact of energy price and economic freedom on Europe's CO2 emissions and finds the existence of spatial spillover effect among European countries. Increasing economic freedom and energy price can reduce CO2 emissions and affect neighboring countries' emissions. The findings provide policy suggestions for the European Commission to reduce CO2 emissions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Shakila Aziz, Shahriar Ahmed Chowdhury
Summary: The agriculture sector in Bangladesh is a major emitter of greenhouse gases due to increasing mechanization, changing population patterns and cultivation of irrigation intensive crops. This research analyzes the impacts of population trends, energy use and land practices on carbon dioxide, methane and nitrous oxide emissions. Various factors such as population, affluence, urbanization, fertilizer use, energy intensity, and land use practices were found to influence emissions, with recommendations for clean energy adoption and land management regulation to meet climate targets and sustainable energy goals.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Environmental Sciences
Puju Cao, Zhao Liu
Summary: This study investigates the impact of population characteristics on transportation CO2 emissions in China. The results show that population aging and population quality can restrain transportation CO2 emissions, but the negative effects of population aging are indirectly caused by economic growth and transportation demand. Furthermore, population living standards have an urban-rural difference, with urban living standards playing a predominant role in transportation CO2 emissions. Population growth has a weakly positive effect on transportation CO2 emissions. At the regional level, the effect of population aging on transportation CO2 emissions varies across regions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Chien-Chiang Lee, Ying Yuan, Huwei Wen
Summary: This paper investigates the impact of the digital economy on carbon emissions in the transport sector and finds that the digital economy has a mitigating effect on carbon emissions, which is related to the stage of urbanization.
NATURAL RESOURCES FORUM
(2022)
Article
Biodiversity Conservation
Ying Xu, Weishi Zhang, Jionghua Wang, Siping Ji, Can Wang, David G. Streets
Summary: This study uses a Geography Weighted Regression model to investigate the spatially heterogeneous impacts of potential influencing factors on city-level industrial SO2 emissions in China. The results show that the urbanization level, represented by night-time light intensity, has a significant negative effect on SO2 emissions. Industrial factors generally increase SO2 emissions, with higher impacts in western cities.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Xin Zou, Jiaxuan Li, Qian Zhang
Summary: This study analyzes CO2 emissions from China's power industry from 2009 to 2018 and identifies the factors influencing these emissions. The results suggest that the power industry should improve its investment decision-making capabilities and focus on developing hydropower-led non-fossil energy sources.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Cybernetics
Qingyu Zhang, Tianlong Luo
Summary: This study examines the optimal sales format selection and decision equilibriums of supply chain members, particularly poor farmers and buyers, under the competition between government procurement as a poverty alleviation effort and a firm's regular channel. The findings indicate that the optimal sales format can be consistent between poor farmers and buyers under certain conditions, and the buyer's poverty alleviation effort can lead to a win-win outcome.
Article
Computer Science, Cybernetics
Fayaz Ali, Qingyu Zhang, Muhammad Zubair Tauni, Asad Hassan Butt, Tanveer Ahsan
Summary: This research explores the influence of contingent self-esteem on compulsive usage of the social media application WeChat in China. It proposes that fear of negative evaluation and fear of missing out transfer the impact of contingent self-esteem to compulsive WeChat usage, with frustration about unavailability as a moderating factor. The findings indicate that contingent self-esteem contributes to compulsive WeChat usage both directly and indirectly through fear of negative evaluation and fear of missing out. Additionally, fear of negative evaluation mediates the relationship between contingent self-esteem and fear of missing out, ultimately affecting compulsive WeChat usage.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2023)
Article
Environmental Sciences
Gul Jabeen, Munir Ahmad, Qingyu Zhang
Summary: Energy security, job development, and minimal environmental damage are the main reasons for the popularity of green energy technologies. This study focuses on the bottlenecks in developing these technologies in underdeveloped countries, using South Africa as a case study. By utilizing a Multi-Objective Optimization based on Ratio Analysis (MOORA) strategy combined with an Evaluation based on Distance from Average Solution (EDAS) method, the study identifies social, institutional, and regulatory bottlenecks as the most impactful. Corrupt political systems, lack of public knowledge, and fixed investments are found to be the major obstacles. The study highlights the importance of a bottom-up policy approach and the need to strengthen government agencies to promote green energy technologies.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Agricultural Economics & Policy
Nhat Tan Nguyen, Qingyu Zhang, Shafique Ur Rehman, Muhammad Usman, Dario Natale Palmucci
Summary: The study examines the impact of customer perceived value, COVID-19 fear, food neophobia, effort, natural content, and organic food availability on the intention to purchase organic food (IPOF) and the actual purchase of organic food (APOF). The findings indicate that customer perceived value, effort, and natural content have a positive relationship with IPOF, while COVID-19 fear and food neophobia have a negative association. Both IPOF and organic food availability are positively related to APOF, with the latter significantly moderating the relationship.
BRITISH FOOD JOURNAL
(2023)
Article
Computer Science, Cybernetics
Fayaz Ali, Qingyu Zhang, Muhammad Zubair Tauni, Khuram Shahzad
Summary: This study examines the impact of social interaction anxiety on compulsive chat with a social chatbot named Xiaoice, while exploring fear of negative evaluation (FONE) and fear of rejection (FOR) as mediators in this relationship. The authors find that social interaction anxiety increases compulsive chat with Xiaoice both directly and indirectly through FONE and FOR. The mediating effect of FONE operates through FOR, establishing a serial link between social interaction anxiety and compulsive chat with a social chatbot. Frustration about unavailability (FAU) also strengthens the relationship between FOR and compulsive chat with a social chatbot.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Economics
Haolan Liao, Qingyu Zhang, Lu Li
Summary: This paper develops a mathematical model to quantify the impact of quality-based categorization of returned products under different return scenarios, and derives the optimal procurement strategy for cost minimization through stochastic analysis. It also employs maximum likelihood estimation to speculate the key parameters of quality distribution in an empirical case, providing a mathematical foundation for remanufacturers to make optimal decisions. Additionally, it innovatively introduces a quality coefficient to signal the overall condition of returned cores and establishes the explicit relationship between the quality coefficient and production indexes in remanufacturing.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Agricultural Economics & Policy
Shafique Ur Rehman, Qingyu Zhang, Jan Kubalek, Manaf Al-Okaily
Summary: This study examined the influence of environmental concerns, knowledge of organic/novel food, food neophobia, food neophilia, health consciousness, and social norms on satisfaction toward organic food leading to the intention to purchase organic food. Perceived barriers were also used as a moderator between satisfaction toward organic food and IPOF.
BRITISH FOOD JOURNAL
(2023)
Article
Ecology
Gul Jabeen, Munir Ahmad, Qingyu Zhang
Summary: The growing human demand for natural capital driven by anthropogenic activities may result in ecological overshoot, therefore, it has become inevitable to rethink sustainable pathways. This study investigates the impact of economic openness and multifaceted capital on ecological sustainability using the panel quantile regression estimator. The findings suggest that economic openness and financial deepening undermine ecological sustainability, while human capital formation strengthens it.
ECOLOGICAL INFORMATICS
(2023)
Article
Computer Science, Cybernetics
Qingyu Zhang, Wasim Ahmad
Summary: Although social commerce influences impulse purchase behavior, no research has examined the impact of different uses of social commerce on online impulse purchase and their mechanisms. This study investigates the relationships between cognitive use, hedonic use, social use of social commerce, and online impulse purchase with the mediation of social capital and information overload. The results show that social use, cognitive use, and hedonic use positively affect social bridging, social bonding, and information overload. Social bridging and social bonding positively influence online impulse purchase, while social bonding negatively influences technostress. Information overload positively influences technostress but negatively influences online impulse purchase. In addition, technostress negatively affects online impulse purchase. This study contributes in understanding the influencing mechanisms of different uses of social commerce on online impulse purchase and provides guidelines for managers to promote consumers' impulse purchases more effectively.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Green & Sustainable Science & Technology
Qingyu Zhang, Salman Khan, Mei Cao, Safeer Ullah Khan
Summary: The demand for mobile payments using smartphones is increasing rapidly in Pakistan. This study explores the factors influencing consumers' intention to adopt near-field communication mobile payment from the perspective of a developing country. A conceptual framework based on the mobile technology acceptance model (MTAM) was used, integrating self-efficacy theory, critical mass theory, flow theory, and system and service quality. Data was collected through a questionnaire from 310 non-users of near-field communication mobile payment in Pakistan. The analysis showed that besides technology self-efficacy, perceived critical mass, and mobile ease of use, other independent variables are the main predictors of the intention to adopt mobile payment. The study concludes with important implications and future research directions considering the limitations of this study.
Article
Development Studies
Kui Yi, Jing Zhu, Qingyu Zhang, Fengcai Li, Xi Li
Summary: The protection and development of ecological landscape and resources are crucial for the global green economy. It is important to focus on tourist perception and sustainable resource development in order to achieve their coordinated development.
SUSTAINABLE DEVELOPMENT
(2023)
Article
Business
Khuram Shahzad, Qingyu Zhang, Muhammad Ashfaq
Summary: This study investigates consumer desires and intentions to adopt drones in food delivery (DFD) using the behavioral reasoning theory. The findings show that perceived environmental effectiveness influences the reasons for, reasons against, and desire to adopt DFD. The reasons for adoption positively impact desire and intention, while the reasons against adoption negatively affect intention. Additionally, the personal innovativeness in technology moderates the association between the reasons for adoption and intention.
JOURNAL OF HOSPITALITY MARKETING & MANAGEMENT
(2023)
Article
Social Issues
Shafique Ur Rehman, Daniele Giordino, Qingyu Zhang, Gazi Mahabubul Alam
Summary: The topic of twin transition is significant and receiving increasing attention from researchers, managers, and policy makers. This study examines whether pursuing twin transition can improve a company's green-based competitive advantage. The findings show that IoT, green HRM, and investment in environmental management strategies are directly and indirectly linked to a company's green competitive advantage. The study also suggests that technological innovation and green work climate perception play important roles in enhancing green competitive advantage, and that management seeking to improve green competitive advantage can adopt twin transition. This study contributes to the literature on twin transition by incorporating various factors and theories to measure green competitive advantage.
TECHNOLOGY IN SOCIETY
(2023)
Article
Business
Khuram Shahzad, Qingyu Zhang, Abaid Ullah Zafar, Muhammad Ashfaq, Shafique Ur Rehman
Summary: With the emergence of mobile food delivery apps (MFDAs), the working pattern of the food industry has completely changed, offering an innovative way to interact with customers and provide high-quality services. This study focuses on the factors influencing customer attitude and continued intention using the task technology fit (TTF) model. Data collected from MFDA users were analyzed using structural equation modeling. The results show that customer rating, ordering review, food tracking, navigational design, and user self-efficacy have a positive impact on TTF. Furthermore, self-efficacy moderates the relationship between visual design, navigational design, food tracking, and TTF.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2023)
Article
Engineering, Multidisciplinary
Xiaohu Qian, Mingqiang Yin, Xin Li, Qingyu Zhang
Summary: This paper investigates the revised winner determination problem under quantity discounts and demand uncertainty for a fourth-party logistics (4PL) provider in a combinatorial reverse auction. A two-stage stochastic nonlinear programming model is constructed to characterize the research problem. The nonlinear model is reformulated as a deterministic mixed integer linear programming model using a linearization technique. Sensitivity analysis shows that both the 4PL and 3PLs can benefit from the quantity discount scheme. Managerial insights are drawn for the 4PL to run a cost-effective logistics system in the presence of quantity discounts.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
(2023)
