A quantile regression approach for estimating panel data models using instrumental variables

We introduce a quantile regression approach to panel data models with endogenous variables and individual effects correlated with the independent variables. We find newly developed quantile regression methods can be easily adapted to estimate this class of models efficiently.     

Learning-by-importing in emerging innovation systems: evidence from Ecuador

Using data from the population of Ecuadorian importers, we examine the extent to which the characteristics of their imports relate to their labor productivity. Results indicate that the technological intensity of imports does not explain differences in labor productivity, although the region of origin of imports explains differences in the manufacturing sector, as imported technologies from advanced regions are associated with superior labor productivity. Nevertheless, as technology intensive imports are not associated with superior performance, we argue that importers from developing countries may use foreign technology inexpertly due to the lack of absorptive capacity and the emerging nature of their national innovation system.     

Institutional theory and global entrepreneurship: exploring differences between factor- versus innovation-driven countries

Using the lenses of institutional theory, this study examines several Entrepreneurial Factor Conditions (National Experts Survey database) while focusing on potential differences of several institutional dimensions between factor- (or production) and innovation-driven countries. This study therefore examines first the extent to which several Scott’s institutional variables (normative, regulative, and cultural-cognitive) differ according to the economic structure of countries participating in NES-GEM. Results indicate that the relevance of both regulative and cultural-cognitive dimensions differ between the group of countries driven by factor (or production) versus innovation, with a single exception, the normative dimension. Second, the study fine tunes the analysis and examines the extent to which the relevance of the aforementioned dimensions differs in two distinct institutional contexts (Portugal and Angola). Results show that the relevance of all institutional variables is different except one, the basic education and training. A possible explanation for these results may be associated to the lack of and fragility of several institutions and the absence of norms and regulations needed for a well-functioning economy, particularly in what concerns the factor (or production)-driven countries. In terms of originality, the study addresses an area of the GEM model that is under-researched.     

Earnings Management through Specific Accruals and Discretionary Expenses: Evidence from U.S. Agribusiness Firms

This study examines both accruals based earnings management (AEM) and real earnings management (REM) in U.S. agribusinesses. In particular, the focus is on agribusinesses that report low earnings quality, defined as firms with extreme level of accruals compared to their peers. The cross‐sectional modified Jones model (Jones 1991; Dechow et al 1995) is used to test for AEM. To capture REM practices, we implement the discretionary expenses model by Roychowdhury (2006). We find evidence of AEM and find no evidence of REM in agribusinesses. In addition, our results show that managers might be managing earnings through specific accruals doubtful accounts receivable provisions and special items.     

Where to vacation? An agent-based approach to modelling tourist decision-making process

Agent-based models (ABMs) are becoming more relevant in social simulation due to the potential to model complex phenomena that emerge from individual interactions. In tourism research, complexity is a subject of growing interest and researchers start to analyse the tourism system as a complex phenomenon. However, there is little application of ABMs as a tool to explore and predict tourism patterns. The purpose of the paper is to develop an ABM that increases knowledge in tourism research by (i) considering the complexity of tourism phenomenon, (ii) providing tools to explore the complex relations between system components and (iii) giving insights on the functioning of the system and the tourist decision-making process. A theoretical ABM is developed to improve knowledge on tourist decision-making in the selection of a destination to vacation. Tourists’ behaviour, such as individual motivation, and social network influence in the vacation decision-making process are hereby discussed.     

Profiling the segments of senior tourists throughout motivation and travel characteristics

Interest in tourism market segmentation of seniors has been increasing in recent years as the tourism industry has begun to be aware of their importance for the sector. This is a very heterogeneous group, with greater purchasing power and lifestyle-oriented entertainment and enjoyment of leisure time by performing travel than previous generations. This study strives to contribute towards the hitherto scarce research on segmentation in senior tourism. Specifically, this work aims to determine the existence of various profiles of senior tourism by means of using socio-demographic variables, motivation and characteristics of travel of seniors. For this, two complementary analysis techniques, the nonlinear canonical correlation (OVERALS) and a two-stage cluster analysis, were used. Five market segments were identified according to the behavioural variables analysed that allow marketers to target this group in the most convenient manner and to exploit new market opportunities.     

Quality of service and segmentation in the MICE industry: An approximation based on fuzzy logic

This article aims to evaluate the service quality experienced at academic conferences held at the Universidad Técnica Particular de Loja in Ecuador. Our approach is based on fuzzy logic and ideal solutions to calculate a global attendee satisfaction index for specific market segments: Gender, nationality, and age. Current literature on the service quality experienced by conference attendees is still scarce. Our results show that the analyzed segments experience varying levels of satisfaction, and that the more influential attributes to each of them are also different. Our results can be applied to improve the competitiveness of Loja and that of Universidad Técnica Particular de Loja.