International Capital Flows in the Model with Limited Commitment and Incomplete Markets

Recent literature has proposed two alternative types of financial frictions, i.e., limited commitment and incomplete markets, to explain the empirical patterns of international capital flows between developed and developing countries in the past two decades. This paper integrates these two frictions into a two-country overlapping-generations framework to facilitate a direct comparison of their respective effects. In our model, limited commitment distorts the investment made by agents with different productivity, which creates a wedge between the interest rates on equity capital vs. credit capital; while incomplete markets distort the investment among projects with different riskiness, which creates a wedge between the risk-free rate and the mean rate of return to risky capital. We show that the two approaches are observationally equivalent with respect to their implications for international capital flows, production efficiency, and aggregate output.     

Critical success factors for the sustainability of Kaizen event human resource outcomes: An empirical study

Kaizen events have been widely reported to produce positive change in business results and human resource outcomes. However, sustaining or improving upon the results of a Kaizen event over time can be difficult for many organizations and has received limited empirical research attention to date. This paper identifies the factors that most strongly influence the sustainability of work area employee attitudes and commitment to Kaizen events based on a field study of 65 events in eight manufacturing organizations. The findings also present guidelines for organizations and areas for future research.     

WHICH AGGLOMERATION EXTERNALITIES MATTER MOST AND WHY?

This paper revisits the ongoing discussion on the importance of agglomeration externalities – specifically specialization, diversity and competition effects – that may contribute to innovation, productivity and urban employment growth. Previous meta‐analyses suggested that the evidence on agglomeration externalities is strongly context‐specific. Expanding an earlier analysis of 31 articles, we seek to draw in this paper more robust conclusions by means of the statistical evidence for agglomeration externalities presented in 73 scientific articles, all building on the seminal work of Glaeser et al. (1992). Our results confirm that the heterogeneity among studies is huge and can only be partially accounted for by means of an ordered probit analysis. Additionally, some evidence of publication bias is found. We conclude that the conventional lines of inquiry in this literature may now have reached strongly diminishing returns. New lines of inquiry, using rich micro‐level data on firms and workers, dynamic general equilibrium models at the macro level, more attention for spatial and temporal variation in the impacts of agglomeration, and further investigations into the spatial scope of externalities are promising avenues for further research that can enhance our understanding of how agglomeration externalities continue to fuel our increasingly urbanized world.     

Die Auswirkungen der Finanzkrise sowie von Solvency II auf <Emphasis Type="Italic">Insurance-linked Securities</Emphasis>

Der Beitrag stellt Insurance-linked Securities (“ILS”) als Instrument des alternativen Risikotransfers dar und grenzt ILS von anderen Instrumenten des alternativen Risikotransfers ab.     

Modern Slavery Disclosure Regulation and Global Supply Chains: Insights from Stakeholder Narratives on the UK Modern Slavery Act

Journal of Business Ethics - The purpose of this article is to problematise a particular social transparency and disclosure regulation in the UK, that transcend national boundaries in order to...     

Individual attitudes towards the impact of multinational corporations on local businesses: how important are individual characteristics and country-level traits?

We study the importance of individual characteristics and national factors influencing individual attitudes towards the impact of multinational corporations on local businesses. Our sample includes more than 40 000 respondents in 29 countries from the 2003 National Identity Survey conducted by the International Social Survey Programme. We find that individual demographic factors and socioeconomic status, such as gender, age, income and education, are strong predictors of their attitudes. For example, income and education are positively associated with favourable attitudes towards the impact of multinational corporations (MNCs) on local businesses while age is negatively associated with individual attitudes towards MNCs. In addition, hierarchical ordered logit model results show that approximately 8% of total variations in individual attitudes around our sample mean are not explained by differences in personal traits. Instead, they are due to country-level heterogeneity such as, but not limited to, different degrees of openness or different aggregate income.     

International business research output and rankings of Asia-Pacific universities: A 40-year time-series analysis

This study measures and ranks the performance of countries and academic institutions based on a 40-year analysis of publications appearing in 14 leading business and management journals. The focus is on the evolution of Asia-Pacific institutions in international business research output during this period. In addition, an examination is performed to identify factors associated with Asia-Pacific institutions that have achieved the highest rankings. This research shows that the Journal of International Business Studies and the Journal of World Business were central in spreading international business research, as well as in supporting research by authors from the Asia-Pacific region. Further, schools such as Harvard, Wharton, and University of South Carolina have maintained the highest ranks in research output throughout the 40-year period, but recent years have witnessed the emergence of the Chinese University of Hong Kong and University of Hong Kong, among others, in those top ranks.     

Modelling Inflation Volatility

This paper discusses estimation of US inflation volatility using time‐varying parameter models, in particular whether it should be modelled as a stationary or random walk stochastic process. Specifying inflation volatility as an unbounded process, as implied by the random walk, conflicts with priors beliefs, yet a stationary process cannot capture the low‐frequency behaviour commonly observed in estimates of volatility. We therefore propose an alternative model with a change‐point process in the volatility that allows for switches between stationary models to capture changes in the level and dynamics over the past 40 years. To accommodate the stationarity restriction, we develop a new representation that is equivalent to our model but is computationally more efficient. All models produce effectively identical estimates of volatility, but the change‐point model provides more information on the level and persistence of volatility and the probabilities of changes. For example, we find a few well‐defined switches in the volatility process and, interestingly, these switches line up well with economic slowdowns or changes of the Federal Reserve Chair. Moreover, a decomposition of inflation shocks into permanent and transitory components shows that a spike in volatility in the late 2000s was entirely on the transitory side and characterized by a rise above its long‐run mean level during a period of higher persistence. Copyright © 2015 John Wiley & Sons, Ltd.