Breaking institutionalized corruption: Is the experience of the Hong Kong Independent Commission Against Corruption generalizable?

The literature on corruption has seldom analyzed how institutional changes and the management of anti-corruption agencies could affect the success in transforming a relatively corrupted society into a cleaner one. Using the institutional changes of Hong Kong after the establishment of its anti-corruption agency in 1974, we identify the key changes in its institutional environment and the management of the agency that led to its success. We discuss the possibility that this experience can be generablizable to other societies such as the China Mainland.     

Research Opportunities for Neural Networks: The Case for Credit

This article identifies research opportunities in the use of artificial neural networks in credit scoring and related business intelligence situations, particularly as they have been emerging in the global economy. In the literature review, particular attention is paid to commercial lending credit risk assessment and consumer credit scoring. Investors and auditors need models that can predict whether a customer will stay viable. Lenders must manage their credit risk to maximize profits and cash flow, while minimizing losses. As the global economic recession continues, investors are tightening their investment belts and need models that help them make better investment decisions, while lenders must strengthen lending practices and better identify both good and bad credit risks. Artificial neural networks may help firms improve their credit model development, and thereby their credit decisions and profitability. Such technology may also help improve development in emerging economies. Copyright © 2016 John Wiley & Sons, Ltd.     

Modelling dependence between tourism demand and exchange rate using the copula-based GARCH model

This paper investigates dependence between tourism demand and exchange rate, using the case of China, and from a new perspective by using copula–GARCH models. The empirical results show that the volatility of exchange rate is not a determinant factor in fluctuation of China's inbound tourism demand from the countries being studied. Furthermore, only Russia exhibits risk-adverse behaviour with extreme SUR depreciation, or CNY appreciation associated with an extreme decline in arrivals. Third, introducing the tail dependence and dynamic dependence between growth rates of tourism demand and exchange rate add much to the explanatory ability of the model. The findings of this study have important implications for destination manager and travel agent as it helps to understand the impact of exchange rates on China inbound tourism demand and provide a complementary academic approach on evaluating the role of exchange rates in the international tourism demand model.     

Exploring the effect of geographic convenience on repeat visitation and tourist spending: the moderating role of novelty seeking

This article investigates the relationships among geographic convenience, tourists' visit frequency and travel spending as well as the moderating effect of novelty seeking. A curvilinear relationship between geographic convenience and visit frequency is first identified. The mediating role of visit frequency is then tested through path analysis, followed by an invariant model test that examines the moderating effect of novelty seeking. The findings reveal that frequency of visit fully mediates the relationship between geographic convenience and travel spending. The moderating effect of novelty seeking is also warranted in that the effect of geographic convenience is only significant for low-novelty seekers while the frequency-of-visit effect is more salient for high-novelty seekers.     

Economic Freedom and Exercise: Evidence from State Outcomes

Exercise is an important part of a healthy lifestyle and influences a variety of health outcomes. Regions vary in their levels of exercise due to geography, climate, culture, and policy. The extent to which a country's policies are consistent with economic freedom has been found to be positively associated with greater participation in physical activity. We empirically investigate the relationship between economic freedom and exercise across U.S. states. Contrary to the cross-country results, we find that states with higher levels of economic freedom have lower rates of participation in exercise.     

Moment conditions for Almost Stochastic Dominance

This study establishes necessary conditions for Almost Stochastic Dominance criteria of various orders. These conditions take the form of restrictions on algebraic combinations of moments of the probability distributions in question. The relevant set of conditions depends on the relevant order of ASD but not on the critical value for the admissible violation area. These conditions can help to reduce the information requirement and computational burden in practical applications. A numerical example and an empirical application to historical stock market data illustrate the moment conditions. The first four moment conditions in particular seem appealing for many applications.     

Trade Integration with the European Union: Poverty Impacts in Ecuador

The government of Ecuador is seeking to negotiate a trade agreement with the European Union (EU). This study examines the impacts of such a trade agreement on rural and urban poverty in Ecuador by combining a household income and occupational choice model with a computable general equilibrium model. The results suggest that a trade agreement with the EU may have a significant impact on poverty. However, the nature and extent of the impact varies depending on the degree of initial tariff reduction, labor market considerations, and whether Ecuadorian bananas are granted better access to the EU market.     

The influence of oil price uncertainty on stock liquidity

Using high-frequency intraday data, this study provides strong empirical evidence that elevated oil price uncertainty has a significant and negative influence on stock liquidity. More specifically, the results suggest that large oil-related corporations are most affected, followed by small-listed firms more generally. Further analysis reveals that liquidity providers widen the bid-ask spreads to protect themselves during periods of high oil price uncertainty for large-listed firms, particularly those in the oil industry. These findings are robust to various measures of oil price uncertainty, different market conditions, structural break analysis and show the influence of oil price movements extends to stock liquidity.