Foreign inflows and economic growth: An emiprical study of the SAARC region

The study examines and highlights the impact of selected foreign inflows (aid, trade, FDI, debt and remittances) on the economic growth of the South Asian Association for Regional Cooperation (SAARC) countries. The existent literature lacks a comprehensive analysis of the SAARC countries as countries like Afghanistan, Bhutan and the Maldives have largely been ignored due to the shorter time periods of available data. The study is empirical in nature and utilizes panel data techniques on macroeconomic data for the period 2008–2015. Foreign aid and foreign direct investment are found to impact economic growth positively. Foreign debt and trade flows are found to adversely affect economic growth. No relationship is established between the flow of remittances and the economic growth of these countries. The obtained results are robust to different proxy variables and the addition of macroeconomic variables. For the first time, the study provides policy implications based on the data of all SAARC countries. The study recommends focusing on increasing the inflows of resources in the form of aid and foreign direct investment (FDI) from the developed world to achieve higher economic growth.     

Cooperation with a multiproduct corporation in a strategic managerial delegation

We consider an industry composed of a multiproduct corporation that adopts corporate social responsibility (CSR) as a strategic managerial delegation and examine the profit-incentive to form a cooperative group. We find that competition is an equilibrium for any degree of substitutability and yields the highest CSR, which is increasing in the degree of substitutability. We also show that full cooperation is an equilibrium for lower substitutability but induces no CSR, whereas partial cooperation with one uniplant firm is an equilibrium for higher substitutability but yields lower CSR than that under competition. Therefore, cooperation might reduce strategic CSR activities, whereas competition will encourage higher CSR but yield lower industry profits.     

Gay tourism in a sun and beach destination

Gay tourism is seen as an attractive business opportunity for many destinations. However, there is a lack of research at identifying the resources necessary for success in this type of tourism. This work is aimed at filling this gap by using the premises of the resource based view and transfers them to the analysis of territories to identify the valuable resources that are required for a sun and beach destination to attract gay tourists. To this end, this study has focused on a gay tourism sub niche, tourists lodged in gay-exclusive resorts in Gran Canaria. In order to confirm the validity of this approach, the relationship between the satisfaction of gay tourists and the condition of the valuable resources was studied by means of a robust statistical new method, namely Bayesian model averaging. That method permits the inclusion of uncertainty in the theoretical models that determine destination competitiveness, thus reducing many of the problems that arise in the application of the more conventional statistical methods in this type of analysis.     

Bayesian estimation and prediction based on Rayleigh sample quantiles

Ordered data arise naturally in many fields of statistical practice. Often some sample values are unknown or disregarded due to various reasons. On the basis of some sample quantiles from the Rayleigh distribution, the problems of estimating the Rayleigh parameter, hazard rate and reliability function, and predicting future observations are addressed using a Bayesian perspective. The construction of β-content and β-expectation Bayes tolerance limits is also tackled. Under squared-error loss, Bayes estimators and predictors are deduced analytically. Exact tolerance limits are derived by solving simple nonlinear equations. Highest posterior density estimators and credibility intervals, as well as Bayes estimators and predictors under linear loss, can easily be computed iteratively.     

The importance of packaging in purchase and usage behaviour

This study's primary objective is to analyse how consumers evaluate product packaging in two distinct phases of the consumer decision‐making process: at the moment of acquisition and post‐consumption. The packaging's technical, functional and informative attributes, as well as its influence on satisfaction and loyalty, were evaluated. An empirical study was conducted with a product of immediate consumption, milk, using four versions of packaging and a total sample of 265 family units. The model was evaluated using partial least squares (PLS), and differences were compared using variance analysis. The results demonstrate the most and least valued attributes, the primary differences between the four types of packaging, and the perception generated at each moment. The research provides interesting theoretical and empirical perspectives and has business implications for marketing directors and product managers.     

A reduced lattice model for option pricing under regime-switching

We present a binomial approach for pricing contingent claims when the parameters governing the underlying asset process follow a regime-switching model. In each regime, the asset dynamics is discretized by a Cox–Ross–Rubinstein lattice derived by a simple transformation of the parameters characterizing the highest volatility tree, which allows a simultaneous representation of the asset value in all the regimes. Derivative prices are computed by forming expectations of their payoffs over the lattice branches. Quadratic interpolation is invoked in case of regime changes, and the switching among regimes is captured through a transition probability matrix. An econometric analysis is provided to pick reasonable volatility values for option pricing, for which we show some comparisons with the existing models to assess the goodness of the proposed approach.     

Tourism Brochures: Usefulness and Image

Tourist information has been shown to have an important influence on the choice of vacation destinations. This article studies brochures, their significance as image generators, and their influence on the selection of destinations. The study sought to discover which features in this medium are more relevant in image generation and destination choice using logistic regression analysis. The analysis is based on data collected from tourists in Madrid, Spain. The results establish a model of usefulness of brochures in order to propose recommendations for their design and content. Implications pertain to the development of theoretical understandings about the influence of the information sources on destination image, destination choice, and satisfying tourist needs.