STRATEGIC INTERACTION AND CATCHING UP

In this study, we prove that the strategic interaction among agents differing in initial wealth levels leads the poor to be able to catch up with the rich, which is not the case for the standard Ramsey model where the initial wealth differences perpetuate. Extending the analysis to account for relative wealth concern and the adjustment cost of consumption, the strategic interaction among agents is shown to affect not only the distribution of wealth in the long run but also the transitional dynamics substantially. In particular, we show that structurally very simple frameworks may lead to limit cycles thanks to the strategic interaction among agents in the economy.     

Income inequality and FDI: evidence with Turkish data

This article explores how foreign direct investment (FDI) and other determinants impact income inequality in Turkey in the short- and long-run. We apply the nonlinear auto-regressive distributed lag (ARDL) modelling approach, which is suitable for small samples. The data for the study cover the years from 1970 to 2008. The empirical results indicate the existence of a co-integration relationship among the variables with asymmetric adjustment of the income distribution in the short- and long-run. The negative impact of FDI on the Gini coefficient, decreasing income inequality, is statistically significant in the short- and long-run, though with a quantitatively small impact in both cases. In the short run, GDP growth increases inequality initially, an effect that is reversed in the next period, increases in domestic gross capital formation decreases inequality, and increases in the literacy rate have very minor adverse effects on income equality. However, in the long run these variables have no statistically significant effects on the Gini coefficient. A reduction in the population growth rate reduces inequality in the short run but has no effect in the long run, whereas an increase in the rate reduces inequality in the long run but has no effect in the short run.     

The Power of Social Network Construction and Analysis for Knowledge Discovery in the Medical Referral Process

The social network model is powerful enough to provide for the analysis and study of a variety of application domains from daily life, including health care and health informatics. After the widespread appearance of automated tools capable of deriving and analyzing social networks, social network analysis (SNA) and mining in the health care domain has recently received considerable attention for its key role in understanding how various bodies within the health care system form communities and how they are socially connected with each other. This understanding helps enhance the organizational structures and process flows, among others. In this article, we show how SNA techniques can solve issues in the medical referral system in the Canadian health care system and the like, by analyzing the social network of general practitioners (GPs) and specialists (SPs). One of the main targets is to optimize the communication between GPs and SPs with hopes of decreasing the waiting time of patients to be seen by SPs. Various SNA and mining techniques are described and analyzed, backed by reporting some experimental results.     

Survival of Japanese subsidiaries in the Middle East and North Africa

This paper considers factors affecting survival of foreign subsidiaries in the context of Japanese foreign equity ventures in the Middle East and North Africa (MENA). Three new institutional variables, economic distance, economic freedom distance and subsidiary density, are examined as determinants of survival while controlling for other determinants previously established in the literature. The findings support our hypotheses. We found that economic distance and economic freedom distance exhibit significant positive and negative relationships respectively with the survival of Japanese FDI in the MENA region, and moderate positive relationship between subsidiary density and subsidiary survival.     

Accurately Identifying and Comparing Sustainable Tourists,Nature-Based Tourists,and Ecotourists on the Basis of Their Environmental Concerns

The current study, using a confirmatory factor analysis, developed a multi-item scale consisting of 3 dimensions that exhibited necessary reliability and validity. Based on this Nature-Based, Eco- and Sustainable Tourists (NES)-scale, and by utilizing a cluster analysis, the study identifies 4 distinct segments among a sample of the Norwegian population: nature-based tourists, ecotourists, sustainable tourists, and mass tourists. The analysis shows that while the ecotourists make up the largest segment, the mass tourists represent the smallest segment. Using Analysis of Variance (ANOVA), the resulting 4 segments are later compared on the basis of their environmental concerns. The findings suggest that the ecotourists are the most environmentally concerned whereas the mass tourists are the least environmentally concerned. Finally, based upon the overall findings of the study, a new inductive model is developed. This model highlights the interaction between different types of alternative tourists and mass tourists, by showing, inter alia, that nature-based tourism has over the years become a form of mass tourism. Theoretical and practical implications of the study are also discussed.     

A Comparison of Slack Resources in High and Low Performing British Companies

Theory predicts that slack resources provide the means for achieving flexibility in developing strategy options. The outcome of generating and investing slack resources to achieve flexibility should be improved company performance. There is also a prediction that low performing companies are likely to have lower levels of slack than high performing companies, and therefore are likely to have less potential for achieving flexibility to impact on performance. However, as the literature features several inadequacies a comparative study of high and low performing British companies was carried out to address these inadequacies. While multiple measures of slack were found to be predictors of company performance in high performing companies, they seemingly have negligible impact on performance in low performing companies. Also, only certain types of slack resources are seemingly more prominent in high performers than in low performers. The results provide a development and refinement of the previous limited knowledge about slack resources.     

Why Do Firms Issue Equity after Splitting Stocks?

This paper examines the motivations of firms that conduct seasoned equity offerings (SEOs) after splitting stocks. We find no difference in equity announcement and issue period returns between these firms and other equity‐issuing firms, suggesting that firms do not split stocks to reveal information and reduce adverse selection costs at the subsequent SEO. However, because investors react positively to split announcements, firms that issue equity after splitting stocks sell new shares at a higher price and raise more funds. We also find that firms split stocks to make the subsequent SEO more marketable to individual investors who are attracted to low‐priced shares.     

Beneficial collusion in corruption control: The case of nonmonetary penalties

We analyze a corruption model where a principal seeks to control an agent's corruption by supplementing a costless noncollusive outside detector such as the media with a collusive internal supervisor. The principal's objective is to minimize the overall costs, made up of enforcement costs and social costs of corruption. If the penalties on the corrupt agent and a failing supervisor are nonmonetary in nature and yet the two parties can engage in monetary side-transfers, the principal may stand to benefit by allowing supervisor–agent collusion. This benefit may even prompt the principal to actively encourage collusion by hiring a dishonest supervisor in strict preference over an honest supervisor.     

Directors’ share dealings and corporate insolvencies: evidence from the UK

This paper investigates the relation between insider trading and the likelihood of insolvency with a specific focus on the directors’ sale and purchase transactions preceding insolvency. We use a unique data set on directors’ dealings in 474 non-financial UK firms, of which 117 filed for insolvency, over the period 2000–2010. We show that the directors of insolvent firms increase their purchase transactions significantly as the insolvency approaches. The results also reveal a significant relation between three different measures of insider trading activity and the likelihood of insolvency, which is observed to be positive only during the last six-month trading period. The relation is negative for the earlier trading periods. While the earlier purchase transactions appear to be motivated by superior information held by insiders, the purchase trades closer to the insolvency date are possibly initiated by directors’ motives to influence the market's perception of the firm in an attempt to avert or delay insolvency.     

Ultimate Controllers,Ownership and the Probability of Insolvency in Financially Distressed Firms

This paper investigates the impact of corporate ownership and control on the outcome of financial distress. It is argued that the likelihood of financial distress resulting in insolvency depends on whether firms have controllers, the type of controllers and their cash flow ownership. Using a sample of 484 UK firms, 81 of which filed for insolvency, we show that financially distressed firms with controllers are more likely to be insolvent than widely held firms, where the probability of insolvency is greater when controllers are family or financial institutions. However, the probability of insolvency reduces significantly as the controllers' cash flow ownership increases beyond 10%. Copyright © 2013 John Wiley & Sons, Ltd.