Wing‐keung Wong
Biographic Data
| ID | 3961083 |
|---|---|
| NAME | Wing‐keung Wong |
| GIVEN NAMES | Wing‐keung |
| FAMILY NAME | Wong |
| SIGNATURE | WONG W K |
| AFFILIATIONS | Asia University |
| ORCID | 0000-0001-6755-572X |
| VERIFIED | Yes |
| TOTAL WORKS | 18 |
| TOTAL CITATIONS | 40 |
| AUTHOR COUNT | 18 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1990 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Cognitive abilities and household financial portfolios in association with economic development and national health system
Cognitive ability is increasingly recognized as a significant factor influencing household portfolio decisions. However, different cognitive abilities, such as numeracy, fluency and recall, may yield different investment results. The aim of this paper is to empirically examine the associations of three cognitive abilities (numeracy, fluency and recall) with household portfolio composition using Survey of Health, Aging and Retirement (SHARE) data …
The impact of ecological innovation and corporate social responsibilities on the sustainable development
In light of the economic volatility and the environmentally conscious state, academics must pay close attention to the issue of sustainable development. Therefore, this research analyzes how social responsibility, corporate governance, and ecological innovation have affected the Chinese coal industry's sustainable development. This study investigates the moderating role of environmental ethics among the nexus of social responsibilities, environme…
Socioeconomic Development Aspects of Democratic Governance across Selected Countries
There is a need to question the main socioeconomic, political, and cultural aspects of crime rates in a cross-country context. In this context, Dumitrescu and Hurlin's (2012) Granger causality method, which is not common in the criminological literature, is used – which does not ignore cross-sectional dependence. Moreover, we generate an indicator of "democratic governance" using principal component analysis (PCA) from "government effectiveness" …
Sustainability of Nursing Leadership and Its Contributing Factors in a Developing Economy
The sustainability of nursing leadership is a very important problem. Every country continually strives to find the best ways to advance in nurse management and patient care services. Nursing leadership is most desirable in the delivery of health care services. Since there is limited information about leadership skills in Mongolia, to solve the problem of the sustainability of nursing leadership, we carried out this study to explore factors contr…
Tax competition, environmental regulation and high-quality economic development
Studying economic development in China is a very important topic recently because China's economy is moving toward high-quality development and local governments face the dilemma of environmental governance and economic development. To contribute to the literature in this area further, this paper assesses the impact of tax competition and environmental regulation on high-quality economic development through the spatial Durbin model and instrument…
The effect of digital marketing and sales information systems on customer’s purchase intention for increasing the sales rate of digital shopping
Today, with the development of technology, digital sales have become an important part of companies’ sales. In such an atmosphere, the development of marketing and sales information systems can help to improve marketing and sales in the field of digital markets. Paying attention to information system and combining it with marketing in the digital space can lead to an understanding of how information system and costumer behavior contributes to the…
Habit—Does It Matter? Bringing Habit and Emotion into the Development of Consumer’s Food Waste Reduction Behavior with the Lens of the Theory of Interpersonal Behavior
The immense food waste, generated by restaurants is not only a serious burden for the foodservice business but also a cause of anguish for the emerging nations in which eating out is becoming increasingly trendy. Consumers' food wastes account for a significant portion of restaurant food waste, indicating the need for a change in consumers' behavior to minimize food waste. To examine this problem, our study sought to identify the elements that in…
The Effect of Internal Structure on Foreign Policy
The Effect of Internal Structure on Foreign Policy
Antecedents of Consumer Food Waste Reduction Behavior
This study sought to investigate the role of consumers' emotional, cognitive, and financial concerns in the development of food waste reduction, reuse, and recycling behavior among restaurant patrons. Food waste in restaurants is a major problem for the food service industry, and it is a growing source of concern in developing countries, where eating out is becoming increasingly popular. A large portion of restaurant food waste in these markets o…
Sustainability of Household Food Waste Reduction
The sustainability of food waste is one of the most important contemporary economic, social, and environmental issues that encompasses useful academic, practical, and policymaking implications. Under the domain of sustainability, food waste is a serious global challenge with a growing public, political, and corporate concern. Existing literature regarding the sensitization of consumers and the promotion of waste cautious behaviors still has much …
Dynamic Network Analysis of Covid-19 with a Latent Pandemic Space Model
In this paper, we propose a latent pandemic space modeling approach for analyzing coronavirus disease 2019 (COVID-19) pandemic data. We developed a pandemic space concept that locates different regions so that their connections can be quantified according to the distances between them. A main feature of the pandemic space is to allow visualization of the pandemic status over time through the connectedness between regions. We applied the latent pa…
Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China
Most authors apply the Granger causality-VECM (vector error correction model), and Toda-Yamamoto procedures to investigate the relationships among fossil fuel consumption, CO 2 emissions, and economic growth, though they ignore the group joint effects and nonlinear behaviour among the variables. In order to circumvent the limitations and bridge the gap in the literature, this paper combines cointegration and linear and nonlinear Granger causality…
Uncovering Nonlinear Structure In Real-Time Stock-Market Indexes
This article tests for nonlinear dependence and chaos in real-time returns on the world's four most important stock-market indexes. Both the Brock–Dechert–Scheinkman and the Lee, White, and Granger neural-network-based tests indicate persistent nonlinear structure in the series. Estimates of the Lyapunov exponents using the Nychka, Ellner, Gallant, and McCaffrey neural-net method and the Zeng, Pielke, and Eyckholt nearest-neighbor algorithm confi…
Government Policies and Private Housing Prices in Singapore
Regression models are used to show that interest rates, income growth rates and the supply of housing have not played a statistically significant role in the determination of private housing prices in Singapore between 1975 and 1994. Instead, private housing prices in Singapore were highly correlated with the prices for public-sector-built housing. Moreover, the timing of government policies relating to the use of compulsory savings for private h…
Nonlinear Dynamics in Real-Time Equity Market Indices
This paper tests for the presence of nonlinear dependence and chaos in real-time returns on the U.K. FTSE-100 Index, using a six month sample of about 60,000 observations. Since there is clear evidence of nonlinearity, we follow other researchers in this field by applying the same tests to the residuals from a GARCH process fitted to the data, in order to find out whether or not the nonlinearity can be explained by this type of model. In the even…
Repeated Time Series Analysis of Arima–Noise Models
This article develops a theory and methodology for repeated time series (RTS) measurements on autoregressive integrated moving average–noise (ARIMAN) process. The theory enables us to relax the normality assumption in the ARIMAN model and to identify models for each component series of the process. We discuss the properties, estimation, and forecasting of RTS ARIMAN models and illustrate with examples
Repeated Time Series Analysis of Arima-Noise Models
This article develops a theory and methodology for repeated time series (RTS) measurements on autoregressive integrated moving average–noise (ARIMAN) process. The theory enables us to relax the normality assumption in the ARIMAN model and to identify models for each component series of the process. We discuss the properties, estimation, and forecasting of RTS ARIMAN models and illustrate with examples
Socioeconomic Development Aspects of Democratic Governance across Selected Countries
There is a need to question the main socioeconomic, political, and cultural aspects of crime rates in a cross-country context. In this context, Dumitrescu and Hurlin's (2012) Granger causality method, which is not common in the criminological literature, is used – which does not ignore cross-sectional dependence. Moreover, we generate an indicator of "democratic governance" using principal component analysis (PCA) from "government effectiveness" …
Government Policies and Private Housing Prices in Singapore
Regression models are used to show that interest rates, income growth rates and the supply of housing have not played a statistically significant role in the determination of private housing prices in Singapore between 1975 and 1994. Instead, private housing prices in Singapore were highly correlated with the prices for public-sector-built housing. Moreover, the timing of government policies relating to the use of compulsory savings for private h…
Nonlinear Dynamics in Real-Time Equity Market Indices
This paper tests for the presence of nonlinear dependence and chaos in real-time returns on the U.K. FTSE-100 Index, using a six month sample of about 60,000 observations. Since there is clear evidence of nonlinearity, we follow other researchers in this field by applying the same tests to the residuals from a GARCH process fitted to the data, in order to find out whether or not the nonlinearity can be explained by this type of model. In the even…
Repeated Time Series Analysis of Arima–Noise Models
This article develops a theory and methodology for repeated time series (RTS) measurements on autoregressive integrated moving average–noise (ARIMAN) process. The theory enables us to relax the normality assumption in the ARIMAN model and to identify models for each component series of the process. We discuss the properties, estimation, and forecasting of RTS ARIMAN models and illustrate with examples
Repeated Time Series Analysis of Arima-Noise Models
This article develops a theory and methodology for repeated time series (RTS) measurements on autoregressive integrated moving average–noise (ARIMAN) process. The theory enables us to relax the normality assumption in the ARIMAN model and to identify models for each component series of the process. We discuss the properties, estimation, and forecasting of RTS ARIMAN models and illustrate with examples
Nonlinear Dynamics in Real-Time Equity Market Indices
This paper tests for the presence of nonlinear dependence and chaos in real-time returns on the U.K. FTSE-100 Index, using a six month sample of about 60,000 observations. Since there is clear evidence of nonlinearity, we follow other researchers in this field by applying the same tests to the residuals from a GARCH process fitted to the data, in order to find out whether or not the nonlinearity can be explained by this type of model. In the even…
Uncovering Nonlinear Structure In Real-Time Stock-Market Indexes
This article tests for nonlinear dependence and chaos in real-time returns on the world's four most important stock-market indexes. Both the Brock–Dechert–Scheinkman and the Lee, White, and Granger neural-network-based tests indicate persistent nonlinear structure in the series. Estimates of the Lyapunov exponents using the Nychka, Ellner, Gallant, and McCaffrey neural-net method and the Zeng, Pielke, and Eyckholt nearest-neighbor algorithm confi…
Government Policies and Private Housing Prices in Singapore
Regression models are used to show that interest rates, income growth rates and the supply of housing have not played a statistically significant role in the determination of private housing prices in Singapore between 1975 and 1994. Instead, private housing prices in Singapore were highly correlated with the prices for public-sector-built housing. Moreover, the timing of government policies relating to the use of compulsory savings for private h…
Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China
Most authors apply the Granger causality-VECM (vector error correction model), and Toda-Yamamoto procedures to investigate the relationships among fossil fuel consumption, CO 2 emissions, and economic growth, though they ignore the group joint effects and nonlinear behaviour among the variables. In order to circumvent the limitations and bridge the gap in the literature, this paper combines cointegration and linear and nonlinear Granger causality…
The Effect of Internal Structure on Foreign Policy
The Effect of Internal Structure on Foreign Policy
Antecedents of Consumer Food Waste Reduction Behavior
This study sought to investigate the role of consumers' emotional, cognitive, and financial concerns in the development of food waste reduction, reuse, and recycling behavior among restaurant patrons. Food waste in restaurants is a major problem for the food service industry, and it is a growing source of concern in developing countries, where eating out is becoming increasingly popular. A large portion of restaurant food waste in these markets o…
Sustainability of Household Food Waste Reduction
The sustainability of food waste is one of the most important contemporary economic, social, and environmental issues that encompasses useful academic, practical, and policymaking implications. Under the domain of sustainability, food waste is a serious global challenge with a growing public, political, and corporate concern. Existing literature regarding the sensitization of consumers and the promotion of waste cautious behaviors still has much …
Dynamic Network Analysis of Covid-19 with a Latent Pandemic Space Model
In this paper, we propose a latent pandemic space modeling approach for analyzing coronavirus disease 2019 (COVID-19) pandemic data. We developed a pandemic space concept that locates different regions so that their connections can be quantified according to the distances between them. A main feature of the pandemic space is to allow visualization of the pandemic status over time through the connectedness between regions. We applied the latent pa…
Sustainability of Nursing Leadership and Its Contributing Factors in a Developing Economy
The sustainability of nursing leadership is a very important problem. Every country continually strives to find the best ways to advance in nurse management and patient care services. Nursing leadership is most desirable in the delivery of health care services. Since there is limited information about leadership skills in Mongolia, to solve the problem of the sustainability of nursing leadership, we carried out this study to explore factors contr…
Tax competition, environmental regulation and high-quality economic development
Studying economic development in China is a very important topic recently because China's economy is moving toward high-quality development and local governments face the dilemma of environmental governance and economic development. To contribute to the literature in this area further, this paper assesses the impact of tax competition and environmental regulation on high-quality economic development through the spatial Durbin model and instrument…
The effect of digital marketing and sales information systems on customer’s purchase intention for increasing the sales rate of digital shopping
Today, with the development of technology, digital sales have become an important part of companies’ sales. In such an atmosphere, the development of marketing and sales information systems can help to improve marketing and sales in the field of digital markets. Paying attention to information system and combining it with marketing in the digital space can lead to an understanding of how information system and costumer behavior contributes to the…
Habit—Does It Matter? Bringing Habit and Emotion into the Development of Consumer’s Food Waste Reduction Behavior with the Lens of the Theory of Interpersonal Behavior
The immense food waste, generated by restaurants is not only a serious burden for the foodservice business but also a cause of anguish for the emerging nations in which eating out is becoming increasingly trendy. Consumers' food wastes account for a significant portion of restaurant food waste, indicating the need for a change in consumers' behavior to minimize food waste. To examine this problem, our study sought to identify the elements that in…
The impact of ecological innovation and corporate social responsibilities on the sustainable development
In light of the economic volatility and the environmentally conscious state, academics must pay close attention to the issue of sustainable development. Therefore, this research analyzes how social responsibility, corporate governance, and ecological innovation have affected the Chinese coal industry's sustainable development. This study investigates the moderating role of environmental ethics among the nexus of social responsibilities, environme…
Socioeconomic Development Aspects of Democratic Governance across Selected Countries
There is a need to question the main socioeconomic, political, and cultural aspects of crime rates in a cross-country context. In this context, Dumitrescu and Hurlin's (2012) Granger causality method, which is not common in the criminological literature, is used – which does not ignore cross-sectional dependence. Moreover, we generate an indicator of "democratic governance" using principal component analysis (PCA) from "government effectiveness" …
Cognitive abilities and household financial portfolios in association with economic development and national health system
Cognitive ability is increasingly recognized as a significant factor influencing household portfolio decisions. However, different cognitive abilities, such as numeracy, fluency and recall, may yield different investment results. The aim of this paper is to empirically examine the associations of three cognitive abilities (numeracy, fluency and recall) with household portfolio composition using Survey of Health, Aging and Retirement (SHARE) data …
Economics (11 works) · Business (9 works) · Political science (8 works) · Computer Science (7 works) · Econometrics (7 works) · Mathematics (7 works) · Geography (5 works) · Physics (4 works) · Politics (4 works) · Psychology (4 works)