Yangyan Shi
Biographic Data
| ID | 7570499 |
|---|---|
| NAME | Yangyan Shi |
| GIVEN NAMES | Yangyan |
| FAMILY NAME | Shi |
| SIGNATURE | SHI Y |
| AFFILIATIONS | College of Business Administration Capital University of Economics and Business Beijing China |
| ORCID | 0000-0002-1080-9255 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Does Mixed‐Frequency Data Efficiently Predict Future ESG Ratings? A RMIDAS‐Based Machine Learning Approach
ESG ratings prediction provides critical reference for investment decisions, as they reflect firm performance and risk management while measuring corporate social responsibility performance. However, existing studies exhibit limitations in predictor completeness and temporal feature utilization: most predictions rely on annual financial data without considering nonfinancial factors such as social or environmental governance. Besides, high‐frequen…
Agriculture Supply Chain Risks in Emerging Economies
The agricultural supply chain (ASC), a complex network of functions, necessitates exploratory research to identify the risks encountered during the pandemic by correlating them with theoretical and practical frameworks. This domain requires a novel perspective on managing such risks. The current study analyzes risk factors within the ASC and their interactive dynamics to propose a strategic approach to risk prioritization. Employing a mixed‐metho…
Artificial Intelligence‐Powered Innovation Strategies for ESG Impact and Sustainable Ecosystems
Artificial intelligence (AI) serves as a core driver of Industry 4.0 technologies (I4.0Ts), enabling advanced digital capabilities across industrial ecosystems. This study advances the understanding of environmental business innovation strategies (Env‐BISs) by examining the synergistic interplay between circular economy strategy practices (CESPs), the integration of AI into I4.0Ts and governance structures (GSs) within the UK context. Grounded in…
Role of environmental awareness & self-identification expressiveness in electric-vehicle adoption
Global warming is a serious threat to humanity, and greenhouse gases are behind it. CO 2 is one of the main greenhouse gasses that cause global warming. The second most important reason behind CO 2 emission is the transport sector. Electric-powered Vehicles introduced by the automobile sector are regarded as the main alternative to cope with this issue. Despite their advantages, EV adoption rates vary by country, and the expected reductions in en…
Achieving sustainable carbon-neutral supply chain
With the global shift towards a carbon-neutral supply chain (CNSC), blockchain technology (BT) is becoming increasingly significant. The food supply chain (FSC) significantly generates carbon emissions. This study evaluates how the integration of blockchain technology (IBT) is feasible to attain a CNSC. This study also finds the nexus among the sustainable development goals and how they behave between IBT and CNSC. This study presented a new fram…
Developing a "Disaster Scenario" to prepare for the possibility of disruptions to maritime transportation serving coastal communities of Vancouver Island
A causal sustainable evaluation of barriers to remanufacturing
Number of Children and Female Labor Participation in China
The continuous decrease in the number of women of childbearing age and the consequent decrease in reproductive willingness have contributed to the continuous decrease in labor participation among Chinese women, which has negatively affected the stable socioeconomic development in terms of health. This paper deeply explores the intrinsic relationship between the number of children and women's labor participation based on 2016 data from China Labor…
An empirical study of real-time information-receiving using industry 4.0 technologies in downstream operations
Improving disasters preparedness and response for coastal communities using AIS ship tracking data
Adoption of Sustainable Agriculture Practices in Banana Farm Production
The aim of this study was to highlight the importance of socioeconomic and psychosocial factors in the adoption of sustainable agricultural practices (SAPs) in banana farm production. To this end, data from 300 randomly selected farm households from Pakistan were collected through a structured self-report questionnaire. Using logistic regression (LR) and structural equation modeling (SEM), socioeconomic and psychosocial effects were evaluated. Th…
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Improving disasters preparedness and response for coastal communities using AIS ship tracking data
Adoption of Sustainable Agriculture Practices in Banana Farm Production
The aim of this study was to highlight the importance of socioeconomic and psychosocial factors in the adoption of sustainable agricultural practices (SAPs) in banana farm production. To this end, data from 300 randomly selected farm households from Pakistan were collected through a structured self-report questionnaire. Using logistic regression (LR) and structural equation modeling (SEM), socioeconomic and psychosocial effects were evaluated. Th…
An empirical study of real-time information-receiving using industry 4.0 technologies in downstream operations
Number of Children and Female Labor Participation in China
The continuous decrease in the number of women of childbearing age and the consequent decrease in reproductive willingness have contributed to the continuous decrease in labor participation among Chinese women, which has negatively affected the stable socioeconomic development in terms of health. This paper deeply explores the intrinsic relationship between the number of children and women's labor participation based on 2016 data from China Labor…
Developing a "Disaster Scenario" to prepare for the possibility of disruptions to maritime transportation serving coastal communities of Vancouver Island
A causal sustainable evaluation of barriers to remanufacturing
Achieving sustainable carbon-neutral supply chain
With the global shift towards a carbon-neutral supply chain (CNSC), blockchain technology (BT) is becoming increasingly significant. The food supply chain (FSC) significantly generates carbon emissions. This study evaluates how the integration of blockchain technology (IBT) is feasible to attain a CNSC. This study also finds the nexus among the sustainable development goals and how they behave between IBT and CNSC. This study presented a new fram…
Does Mixed‐Frequency Data Efficiently Predict Future ESG Ratings? A RMIDAS‐Based Machine Learning Approach
ESG ratings prediction provides critical reference for investment decisions, as they reflect firm performance and risk management while measuring corporate social responsibility performance. However, existing studies exhibit limitations in predictor completeness and temporal feature utilization: most predictions rely on annual financial data without considering nonfinancial factors such as social or environmental governance. Besides, high‐frequen…
Agriculture Supply Chain Risks in Emerging Economies
The agricultural supply chain (ASC), a complex network of functions, necessitates exploratory research to identify the risks encountered during the pandemic by correlating them with theoretical and practical frameworks. This domain requires a novel perspective on managing such risks. The current study analyzes risk factors within the ASC and their interactive dynamics to propose a strategic approach to risk prioritization. Employing a mixed‐metho…
Artificial Intelligence‐Powered Innovation Strategies for ESG Impact and Sustainable Ecosystems
Artificial intelligence (AI) serves as a core driver of Industry 4.0 technologies (I4.0Ts), enabling advanced digital capabilities across industrial ecosystems. This study advances the understanding of environmental business innovation strategies (Env‐BISs) by examining the synergistic interplay between circular economy strategy practices (CESPs), the integration of AI into I4.0Ts and governance structures (GSs) within the UK context. Grounded in…
Role of environmental awareness & self-identification expressiveness in electric-vehicle adoption
Global warming is a serious threat to humanity, and greenhouse gases are behind it. CO 2 is one of the main greenhouse gasses that cause global warming. The second most important reason behind CO 2 emission is the transport sector. Electric-powered Vehicles introduced by the automobile sector are regarded as the main alternative to cope with this issue. Despite their advantages, EV adoption rates vary by country, and the expected reductions in en…
Business (6 works) · Computer Science (5 works) · Economics (4 works) · Engineering (3 works) · Environmental resource management (3 works) · Environmental Science (3 works) · Political science (3 works) · Psychology (3 works) · Sustainable Supply Chain Management (3 works) · Agriculture (2 works)