Bond rating changes and stock returns: evidence from the Spanish stock market

This study analyzes the effect of corporate bond rating changes by international agencies on stock prices. This topic has not yet been analyzed for the Spanish stock market, despite the growing importance of ratings in Spanish financial markets. On an efficient market, rating changes will only have an effect if they contain some new information. The results from an event study indicate that rating actions cause significant negative abnormal returns in issuing firms around the date of the announcement. This evidence indicates an informational effect related to downgrades, which supports the hypothesis that credit rating agencies provide information that may reduce the asymmetric information problem between firms and investors. In the case of upgrades, our results are compatible with a redistribution of wealth between bondholders and owners or with the reputation hypothesis.      

Examining the behavior of renewable‐energy fund investors

Mutual fund investors could contribute to sustainable development by encouraging fund managers to channel their savings into the funding of sustainable energy projects adopted by firms. This study examines whether renewable‐energy investors take into account financial and/or nonfinancial factors when making the decision to invest in a specific fund, comparing their investment behavior with that of black‐energy and conventional investors. To this end, we have gathered information about 4,368 mutual funds (76 renewable‐energy funds, 109 black‐energy funds, and 4,183 conventional mutual funds) from January 2007 to December 2017. For this sample, we adopt a panel‐data approach with Petersen's standard errors clustered by fund and year. Our results indicate that renewable‐energy fund investors are less sensitive to past financial performance than are black‐energy and conventional fund investors, indicating that the former derive their utility from nonfinancial attributes whereas black‐energy investors derive their utility from a conditional multiattribute and conventional fund investors derive their utility from financial attributes.     

Inequity in inpatient healthcare utilisation 10 years after Apartheid

This paper provides evidence about socioeconomic inequity in inpatient healthcare utilisation in South Africa after 10 years of reform after Apartheid, and examines which are the contributing determinants. We use the South African sample of the World Health Survey from 2002–03 and estimate horizontal inequity in inpatient healthcare utilisation using the concentration index. We further decompose inequity in inpatient care to explore the contribution of the different determinants of use. We find that inpatient healthcare utilisation is found to be pro-rich distributed in South Africa. The rich are more likely to use inpatient healthcare than the poor, given the same level of need. In addition, race is found to be the most important contributor (42%) to socioeconomic inequity in inpatient healthcare utilisation in South Africa. Gender, education and the consumption level are also found to be important contributors, but to a lesser degree than race. Our findings provide evidence that socioeconomic inequity in inpatient healthcare utilisation still exists in post-Apartheid South Africa and that policies, regulations and research should contribute to a more equitable utilisation. The implementation of National Health Insurance could help to reduce the major problems and large (socioeconomic and racial) inequalities of the South African healthcare system.     

Effects of brand-related and market signals on franchisees’ entrepreneurial decisions: a multi-country panel data analysis

This paper analyses the influence of market and brand-related signals on franchisees’ decisions when choosing a franchise brand with which to open an outlet for the first time. Panel data methodology was used to analyse a sample of 1277 chains operating in Spain, Mexico and Peru between 2004 and 2013. The results show that market signals prevail over brand-related signals. Within brand-related signals, franchisees first seek information relating to the brand’s sector and then seek information relating to the brand’s value. Franchisors should match the content of the signals they send to the market to the true characteristics of the franchise. Franchisors should also endeavour to ensure the country where they operate has general and franchise-specific legislation that fosters business activity by both franchisor and franchisee. The use of institutional quality as a signal in a multi-country study represents a significant contribution to the literature on franchising.

     

Forecast combination through dimension reduction techniques

This paper considers several methods of producing a single forecast from several individual ones. We compare “standard” but hard to beat combination schemes (such as the average of forecasts at each period, or consensus forecast and OLS-based combination schemes) with more sophisticated alternatives that involve dimension reduction techniques. Specifically, we consider principal components, dynamic factor models, partial least squares and sliced inverse regression.Our source of forecasts is the Survey of Professional Forecasters, which provides forecasts for the main US macroeconomic aggregates. The forecasting results show that partial least squares, principal component regression and factor analysis have similar performances (better than the usual benchmark models), but sliced inverse regression shows an extreme behavior (performs either very well or very poorly).     

Mobile communication networks and Internet technologies as drivers of technical efficiency improvement

Empirical research on the determinants of technical efficiency (TE) is essential for policy formulation, in particular in low-income countries.     

Patterns of innovation in tourism ‘Small and Medium-size Enterprises’

This study aims to explore the different types of tourism innovation and to display distinctive innovation patterns by tourism small business. In particular, the purpose of this paper is to identify those non-technological factors of innovation that are specifically applicable to tourism small and medium enterprises (SMEs). Following a quantitative research approach, the empirical analysis carries out a logistic regression in order to determine the best predictors for different types of innovation. Data set consists on a survey conducted among 125 Andalusian hotel SMEs. Although the results indicate that the diverse categories of innovation – product, process, marketing and organizational – are explained by different sets of variables, it is possible to outline the results related to a number of firm's characteristics, such as dependency on tour-operator, geographic localization or co-operation.     

Applicability of global value chains analysis to tourism: issues of governance and upgrading

Tourism firms are increasingly integrated in value chains that often operate across many different countries. As a result, the concepts and the methodology of the global value chains begin to be applied to the tourism industry. This paper aims to explore the applicability of this methodological approach for a specific service industry, such as tourism. It pays particular attention to the impact of different patterns of governance within global tourism value chains on the possible forms of upgrading. First, a set of regional case studies carried out on this subject leads us to identify the main patterns of governance in the Andalusian tourism industry. Secondly, an empirical analysis allows us to consider in which way upgrading can vary according to the governance patterns.     

Sharing Wealth: Evidence from Financial Ratios in Spain

Firms are managed on the basis of relationships between mutually involved groups, not only because of market forces, but also due to the influence that each group can exert over distribution decisions at a given moment in time. On the basis of a value added statement, it is possible to analyse the ability a firm has to reward all agents and to consider how the residual income is to be distributed. In this paper we set out to establish the tensions that arise between productive agents in the distribution of generated wealth. We carry out a time analysis of the movements between relationships that provide information on the distribution of that wealth, using data drawn from the Spanish Transport Equipment Manufacturing Industry. We propose a new multivariate dynamic linear model that is capable of analysing the joint evolution of the value added distribution ratios, with our particular objective being to throw light on the factors underlying this evolution. This analysis results in one single factor that explains 92.88 per cent of the total variation present in the residuals of the model.