A5101116769- Energy, Environment, Economic Growth
- Geotechnical Engineering and Underground Structures
- Environmental Impact and Sustainability
- Digital Platforms and Economics
- Environmental Sustainability in Business
- Land Use and Ecosystem Services
- Model Reduction and Neural Networks
- Supply Chain and Inventory Management
- Nanocluster Synthesis and Applications
- Regional Economics and Spatial Analysis
- Misinformation and Its Impacts
- Gold and Silver Nanoparticles Synthesis and Applications
- Civil and Geotechnical Engineering Research
- Fatigue and fracture mechanics
- Energy, Environment, and Transportation Policies
- Geotechnical Engineering and Analysis
- Urban Transport and Accessibility
- Advanced Fiber Optic Sensors
- Sustainable Building Design and Assessment
- Forecasting Techniques and Applications
- Consumer Market Behavior and Pricing
- Alzheimer's disease research and treatments
- Advanced Nanomaterials in Catalysis
- Stock Market Forecasting Methods
- Smart Cities and Technologies
Tianjin University
2020-2025
Georgia Institute of Technology
2018-2023
Shanghai Ninth People's Hospital
2023
Shanghai Jiao Tong University
2023
Zhejiang Province Institute of Architectural Design and Research
2012-2021
Beijing Institute of Aeronautical Materials
2018
Chinese People's Liberation Army
2014
Zhejiang University
2012
Green finance plays a critical role in promoting regional green innovation. However, the precise influence of on diverse facets innovation remains underexplored. This study empirically analyses effects heterogeneous by applying negative binomial model, threshold andthe spatial error model using China's data from 2010 to 2019. The results indicate that has positive impact performance, primarily through significant contributions fossil energy carbon reduction, conservation and recovery, clean...
Digital literacy is the core competitiveness and necessary ability that international students should cultivate while studying in China context of education digitalization, this paper mainly explores whether epistemic curiosity can affect digital China. Based on Technology Acceptance Model, introduces variable curiosity, uses questionnaire survey method quantitative tools (SPSS AMOS software) to construct a model cognition–perception–formation mechanism students’ China, obtains following...
Abstract The association between higher vocational education and rural revitalization is an essential economic social issue, especially in a country with large population developing system like China. This study uses panel data from 30 provinces China 2007 to 2020 explore the revitalization. empirical results show that, at national level, both scale quality of significantly promote revitalization; effects on vary by region: eastern central regions, promotes revitalization, while western has...
While construction is a major contributor to the U.S. economy, it reported that trades workers retire early due work-related musculoskeletal disorders (WMSDs) and overexertion involving lifting, bending twisting more often than other occupational groups. To investigate prevent WMSDs especially low back pain in work, practitioners researchers adopted several engineering management measures. The examples include reducing material mass, increasing initial lifting height, working team, arranging...
The Beijing–Tianjin–Hebei urban agglomeration (BTH) is striving to realize the transformation process from a low-efficiency high-quality development mode; however, it still has problems regarding reducing energy consumption and ecological environment pressure. Based on panel data 2013 2017, this paper proposes an evaluation index system based BTH’s “environmental protection–industrial structure–urbanization” system. In course of applying coupling degree model (CDM) coordination (CCDM) with...
The development of Internet Things (IoT) technology has promoted the prosperity smart device market. Smart devices provide consumers with a higher level intelligent experience and can collect consumer data through sensors, enabling platforms to obtain additional demand spillover benefits. This led entry some IoT into market, directly competing manufacturers. In this study, we analyze impact different market structures in on manufacturers' innovation decisions platform service pricing within...
Purpose Big data analytics (BDA) and machine learning (ML) can be used to identify the influencing factors of online service supply chains (OSSCs) help in formulation optimal pricing strategies. This paper analyzes customer shopping from demand-side perspective formulates strategies supply-side perspective. Design/methodology/approach uses ML Stackelberg game approach discuss OSSC management. ML's feature selection algorithm is important 12,330 customers' intention using four different...
Abundant natural resources are the basis of urbanisation and industrialisation. Citizens key factor in promoting a sustainable supply high-quality development urban areas. This study focuses on co-production behaviours citizens regarding resource assets age big data, uses latent Dirichlet allocation algorithm stepwise regression analysis method to evaluate citizens’ experiences feelings related capitalisation resources. Results show that, firstly, machine learning based language processing...
Indoor air pollution is injurious to human health, even worse than outdoor pollution. However, there a lack of empirical evidence using large samples in developing countries regarding whether indoor purification can improve health by reducing pollutants. Using the data from China Health and Nutrition Survey 2015, this study analyzes relationship between residents’ self-rated health. We apply generalized ordered logit model find that has significantly positive effect on This limited improving...