The dynamic impact of low-cost carriers on full-service carriers and the tourism industry of South Korea: a competitive analysis using the Lotka–Volterra model

The emergence of low-cost carriers (LCC) in the aviation industry has dramatically decreased the cost of short-to-medium distance air travel, alongside the growth of the tourism industry. LCC has also changed the competitive dynamics within the aviation industry, challenging the traditional market dominated by conventional full-service carriers. Past studies have demonstrated the scale of impact of LCC on the aviation market, but have yet to explore the intricate dynamics of competition in greater detail. This paper utilizes the Lotka–Volterra model to assess the changing impact of the entrance of LCC on South Korean tourism and airline industries. Our results offer insights to industry players on developing sustainable strategic plans for future routes and tourism destinations in Asia and beyond.     

Does the quality of institutions enhance savings? The case of Sub-Saharan Africa

Over the last three decades, there has been increasing disparity in savings across regions and income groupings globally. In this paper, we investigate whether the quality of institutions explains the saving disparities in Sub-Saharan Africa (SSA). Utilizing comprehensive panel data and spanning the period 1980–2015, we estimate a savings model using the two-step instrumental variable generalized method of moment (2SIV-GMM) estimator. Our results show that the impact of institutions on savings behaviour differs across regions and income groupings, and in SSA, in aggregate. We find that the level and growth of per capita income and terms of trade enhance savings whereas government consumption expenditure, financial sector development and the elderly dependency rate are savings impeding. The findings are robust to alternative model specification and highlight the importance of institutions in influencing savings behaviour in SSA.     

On Hayek's road to serfdom: 60 years later

Stimulated by recent work of Levy–Peart–Ferrant, Rosser and McPhail, I read The Road to Serfdom by projecting it onto four registers—security and freedom, impersonal forces and the market, rules and the rule of law, and language and education—and identify in each the need for judgement, hopefully balanced but inevitably arbitrary beyond an analytical threshold, a need exacerbated by incomplete and dispersed knowledge. My larger project is to understand the role of the expert, theoretician if one prefers, in a ‘free’ society.     

Heterogeneous ideas production and endogenous growth: an empirical investigation

Abstract .  We examine the dynamics of ideas production and knowledge-productivity relationship in a panel of 19 OECD countries. A new data set of triadic patents is used. We rigorously address the issues of cross-country heterogeneity and endogeneity. Domestic and foreign ideas stocks exert positive but heterogeneous effects on ideas production. We find evidence of duplicate R&D but little support for endogenous growth. Countries with low domestic ideas bases could considerably improve productivity through ideas accumulation; however, this effect is modest for countries with sizeable ideas bases. An implication is that country-specific R&D policy appears potentially more effective than the one-size-fits-all approach.     

Should the government directly intervene in stock market during a crisis?

Unlike foreign exchange markets where central banks frequently intervene, the governments strive not to intervene in the stock markets since intervention transmit negative signals and carry market-related side effects. The main reasons often cited in support of intervention are to bring price stability and to restore investors’ confidence. During the recent economic turmoil, opportunities for the governments to intervene in the stock markets were mainly exploited in emerging and developing countries. We study the outcome of the Russian government's intervention in its major stock market between September and October 2008. This intervention was intended to reverse the sudden and swift declining trend in traded security prices by altering the market's expectations. By using a combination of event study and a multivariate GARCH model, our findings does not support direct government intervention in the stock market during a crisis.     

Testing interaction effects of the dimensions of market orientation on marketing program creativity

Despite the plethora of research on market orientation, our understanding of how different dimensions of market orientation interact with each other in generating new intelligence for marketing programs is limited. In this paper, we develop and test a model that examines the interaction effects of the three dimensions of market orientation—customer orientation, competitor orientation, and cross-functional integration—on generation of marketing program creativity, composed of novelty and meaningfulness dimensions. In empirically testing such effects, we illustrate how to use two-stage least squares (2SLS) estimation. We find significant positive interaction effects between customer orientation and competitor orientation and between competitor orientation and cross-functional integration in predicting marketing program novelty. We also find that competitor orientation and cross-functional integration significantly and positively interact with each other in improving marketing program meaningfulness. Our empirical results provide implications and directions for market orientation research.     

A probabilistic analysis of the trading the line strategy

We provide analytic models for which the appropriate statistics of the trading the line strategy, N _h , can be derived in closed form. In particular, we provide closed-form expressions concerning the average duration of the open position, E(N _h ), the variance of the open duration, Var(N _h ), the average of the stopped log price, E(S _{N h} ), the variance of the stopped log price, Var(S _{N h} ), the correlation, Corr(N _h , S _{N h} ), and the Laplace transform, E(e^{?s N _h} ). These results are obtained, in discrete time settings, for binomial and other price scenarios. Furthermore, when analytic results are not possible, such as the case of a normal distribution for log returns, we show by simulation that our general conclusions still hold. Using these statistics we point out some of the subtle features of the trailing stops strategy.