A5051534362- Energy, Environment, Economic Growth
- Financial Risk and Volatility Modeling
- Geothermal Energy Systems and Applications
- Fiscal Policy and Economic Growth
- Solar Energy Systems and Technologies
- Adsorption and Cooling Systems
- Environmental Impact and Sustainability
- Financial Markets and Investment Strategies
- Stochastic processes and financial applications
- Global Health Care Issues
- Monetary Policy and Economic Impact
- Stock Market Forecasting Methods
- Health disparities and outcomes
- Taxation and Compliance Studies
- Economic and Environmental Valuation
- Energy, Environment, and Transportation Policies
- Statistical Methods and Inference
- Building Energy and Comfort Optimization
- Housing Market and Economics
- Heat Transfer and Optimization
- Market Dynamics and Volatility
- Intergenerational Family Dynamics and Caregiving
- Energy Efficiency and Management
- Complex Systems and Time Series Analysis
Southwestern University of Finance and Economics
2019-2022
Chongqing University
2020-2021
Vrije Universiteit Brussel
2019
Solvay (Belgium)
2019
With the accelerating aging of population and worsening psychological conditions older people, traditional mode family support for elderly in China does not always meet physical needs elderly, more social modes are needed. Based on 3,513 valid questionnaires long-term care protection Chinese residents, this paper uses a logit regression model to analyze factors influencing willingness choose nursing care. The results show that intergenerational is significant driver Compared with living...
Low-carbon economic development is at the heart of post-pandemic green recovery scheme worldwide. It requires without compromising on environment, implying a critical role that productivity plays in achieving carbon neutrality goal. Green measures quality growth with consideration for energy consumption and environmental pollution. This study employs slacks-based measure directional distance function (SBM-DDF) approach Malmquist-Luenberger (ML) index to calculate its components 30 provinces...
Prior research tends to propose and examine the negative relationship between market segmentation energy efficiency. Does necessarily impair efficiency? Considering critical role that Chinaese government play in managing erergy efficiency, we a non-linear Using data of 30 provinces Mainland China during 2000 2017, find an inverse U-shaped Our findings remain robust after controlling endogeneity issues. Therefore, moderate level is acceptable beneficial for long-term improvement efficiency...
The political environment has a significant impact on the sustainable development of enterprises. This manuscript aims to investigate effect policy uncertainty and official social capital enterprises’ effective tax rate (ETR) due change officials. Based panel data from Chinese Industrial Enterprise Database 1998 2009, it is shown that caused by local government officials significantly increases ETR Meanwhile, municipal who have ties with provincial in their province also tend raise...
In the presence of non-normally distributed asset returns, an optimal portfolio selection should consider higher-order (co-)moments when no sampling errors exist. However, curse dimensionality has already been a serious concern in mean-variance analyses; also face same dilemma. This study uses mixed-frequency (MF) data under assumption that stock returns are generated by mixed-data (MIDAS) regression model, which shows to provide well-improved estimates for covariance, co-skewness, and...
The traditional estimation of higher order co-moments non-normal random variables by the sample analog expectation faces a curse dimensionality, as number parameters increases steeply when dimension increases. Imposing factor structure on process solves this problem; however, it leads to challenging task selecting an appropriate model. This paper contributes proposing test that exploits following feature: model is correctly specified, unexplained return variation are sparse. It recommends...