Kunpeng Li
Biographic Data
| ID | 4262240 |
|---|---|
| NAME | Kunpeng Li |
| GIVEN NAMES | Kunpeng |
| FAMILY NAME | Li |
| SIGNATURE | LI K |
| AFFILIATIONS | Capital University of Economics and Business |
| ORCID | 0000-0003-4291-7207 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Beyond a one-size-fits-all approach
Purpose Recognizing outdoor exercise enjoyment as a vital protective factor for public mental health, this study constructed a moderated mediation model to examine the associations between personality traits (specifically extraversion and neuroticism) and outdoor exercise enjoyment. The investigation focused on the dual mediating roles of basic psychological need satisfaction and frustration. Furthermore, it explored the boundary conditions of so…
Current challenges and opportunities in cultural heritage preservation through sustainable tourism practices
The preservation of cultural heritage (CH) through sustainable tourism (ST) practices is vital for maintaining the authenticity and value of cultural sites worldwide. This research investigates the impact of ST on CH conservation in China, focusing on iconic heritage sites such as the Great Wall and the Forbidden City. The study aims to understand how ST contributes to safeguarding cultural assets by assessing the perceptions and behaviors of tou…
Buffering the effects of work stress on anxiety and depression
This study aimed to investigate the pathways linking work stress to anxiety and depression among a sample of full-time white-collar professionals (spanning various industries and organizational hierarchies) in China’s first-tier cities and to test the buffering role of physical activity enjoyment in this adverse process. A cross-sectional survey was conducted with 1,546 professionals in Beijing, Shanghai, and Guangzhou. A moderated mediation mode…
More boring, more craving for smartphone use? The moderating role of fear of missing out
Cognitive and emotional benefits of individual reminiscence therapy in elderly stroke survivors
This protocol was registered at the Chinese Clinical Trials.gov (Identifier: ChiCTR2500095471) on January 8, 2025
Teacher engagement and learning in materials development
Social exclusion and video game addiction among college students
Spatial and Temporal Changes and Influence Mechanisms of Sports Intangible Cultural Heritage in the Yangtze River Delta Region
In order to clarify the internal dynamics of the development of sports intangible cultural heritage in the Yangtze River Delta (YRD) region and help sports culture integrate into the national strategy of YRD integration and development, GIS spatial information technology, metrological geography and human geography analysis methods are used to explore the historical evolution law, spatial distribution characteristics and influencing factors of spo…
Stigma and Associated Correlates of Elderly Patients With Parkinson's Disease
Background: Stigmatizing experiences is common in Parkinson's disease (PD) and appears to provide a negative contribution to the quality of life. Our aim of this study was to investigate the extent of stigma and its predictive factors in patients with PD from our hospital in Shanghai, China. Methods: In 276 individuals with PD (135 women and 141 men), stigma was measured by the 24-item Stigma Scale for Chronic Illness (SSCI). Multivariate linear …
Modeling Multivariate Volatilities via Latent Common Factors
Volatility, represented in the form of conditional heteroscedasticity, plays an important role in controlling and forecasting risks in various financial operations including asset pricing, portfolio allocation, and hedging futures. However, modeling and forecasting multi-dimensional conditional heteroscedasticity are technically challenging. As the volatilities of many financial assets are often driven by a few common and latent factors, we propo…
Estimation and Inference of Favar Models
The factor-augmented vector autoregressive (FAVAR) model is now widely used in macroeconomics and finance. In this model, observable and unobservable factors jointly follow a vector autoregressive process, which further drives the comovement of a large number of observable variables. We study the identification restrictions for FAVAR models, and propose a likelihood-based two-step method to estimate the model. The estimation explicitly accounts f…
Maximum Likelihood Estimation and Inference for Approximate Factor Models of High Dimension
An approximate factor model of high dimension has two key features. First, the idiosyncratic errors are correlated and heteroskedastic over both the cross-section and time dimensions; the correlations and heteroskedasticities are of unknown forms. Second, the number of variables is comparable or even greater than the sample size. Thus, a large number of parameters exist under a high-dimensional approximate factor model. Most widely used approache…
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Modeling Multivariate Volatilities via Latent Common Factors
Volatility, represented in the form of conditional heteroscedasticity, plays an important role in controlling and forecasting risks in various financial operations including asset pricing, portfolio allocation, and hedging futures. However, modeling and forecasting multi-dimensional conditional heteroscedasticity are technically challenging. As the volatilities of many financial assets are often driven by a few common and latent factors, we propo…
Estimation and Inference of Favar Models
The factor-augmented vector autoregressive (FAVAR) model is now widely used in macroeconomics and finance. In this model, observable and unobservable factors jointly follow a vector autoregressive process, which further drives the comovement of a large number of observable variables. We study the identification restrictions for FAVAR models, and propose a likelihood-based two-step method to estimate the model. The estimation explicitly accounts f…
Maximum Likelihood Estimation and Inference for Approximate Factor Models of High Dimension
An approximate factor model of high dimension has two key features. First, the idiosyncratic errors are correlated and heteroskedastic over both the cross-section and time dimensions; the correlations and heteroskedasticities are of unknown forms. Second, the number of variables is comparable or even greater than the sample size. Thus, a large number of parameters exist under a high-dimensional approximate factor model. Most widely used approache…
Stigma and Associated Correlates of Elderly Patients With Parkinson's Disease
Background: Stigmatizing experiences is common in Parkinson's disease (PD) and appears to provide a negative contribution to the quality of life. Our aim of this study was to investigate the extent of stigma and its predictive factors in patients with PD from our hospital in Shanghai, China. Methods: In 276 individuals with PD (135 women and 141 men), stigma was measured by the 24-item Stigma Scale for Chronic Illness (SSCI). Multivariate linear …
Spatial and Temporal Changes and Influence Mechanisms of Sports Intangible Cultural Heritage in the Yangtze River Delta Region
In order to clarify the internal dynamics of the development of sports intangible cultural heritage in the Yangtze River Delta (YRD) region and help sports culture integrate into the national strategy of YRD integration and development, GIS spatial information technology, metrological geography and human geography analysis methods are used to explore the historical evolution law, spatial distribution characteristics and influencing factors of spo…
Social exclusion and video game addiction among college students
More boring, more craving for smartphone use? The moderating role of fear of missing out
Cognitive and emotional benefits of individual reminiscence therapy in elderly stroke survivors
This protocol was registered at the Chinese Clinical Trials.gov (Identifier: ChiCTR2500095471) on January 8, 2025
Teacher engagement and learning in materials development
Beyond a one-size-fits-all approach
Purpose Recognizing outdoor exercise enjoyment as a vital protective factor for public mental health, this study constructed a moderated mediation model to examine the associations between personality traits (specifically extraversion and neuroticism) and outdoor exercise enjoyment. The investigation focused on the dual mediating roles of basic psychological need satisfaction and frustration. Furthermore, it explored the boundary conditions of so…
Current challenges and opportunities in cultural heritage preservation through sustainable tourism practices
The preservation of cultural heritage (CH) through sustainable tourism (ST) practices is vital for maintaining the authenticity and value of cultural sites worldwide. This research investigates the impact of ST on CH conservation in China, focusing on iconic heritage sites such as the Great Wall and the Forbidden City. The study aims to understand how ST contributes to safeguarding cultural assets by assessing the perceptions and behaviors of tou…
Buffering the effects of work stress on anxiety and depression
This study aimed to investigate the pathways linking work stress to anxiety and depression among a sample of full-time white-collar professionals (spanning various industries and organizational hierarchies) in China’s first-tier cities and to test the buffering role of physical activity enjoyment in this adverse process. A cross-sectional survey was conducted with 1,546 professionals in Beijing, Shanghai, and Guangzhou. A moderated mediation mode…
Psychology (5 works) · Clinical Psychology (4 works) · Psychiatry (4 works) · Computer Science (3 works) · Economics (3 works) · Addiction (2 works) · Anxiety (2 works) · Artificial Intelligence (2 works) · Clinical Psychology (2 works) · Cognition (2 works)