Entrepreneurship and regional dynamics: the case of Chile

ABSTRACT

During the last 20 years, social and political consensus has afforded the successful gradual implementation of entrepreneurship policy in Chile, transforming the country into one of the world’s most productive entrepreneurship ecosystems. However, the excessive political and economic centralization that has characterized Chile raises the question of whether spatial dependence influences entrepreneurship and what factors have led to this condition. By applying spatial econometric tools to data from 320 districts in Chile during the period 2013–2014, we conclude that there is spatial dependence among districts in Chile in relation to the creation of new businesses and that the immigrant population, the presence of different categories of universities and local patenting capacity are the variables with the greatest positive effect on this dependence.     

Necessity entrepreneurship in Latin America: it´s not that simple

ABSTRACT

Entrepreneurship literature takes for granted the motivation dichotomy; however, this simplistic view have been criticised for several studies because it likely does an injustice to entrepreneurs, particularly Latin America (LA) entrepreneurs. This study seeks to contribute to the body of knowledge on entrepreneurs to better explain the process of entrepreneurs being motivated by necessity. We use the Global Entrepreneurship Monitor (GEM) database for LA countries and develop an econometric model based on a set of variables, including contextual variables. First, we identify three types of entrepreneurial motivation: necessity, opportunity and transition. We then demonstrate that the motivation dichotomy does not represent LA entrepreneurship. Second, we find that necessity-driven entrepreneurship does not necessarily indicate the absence of high growth aspirations because some entrepreneurs in this category have such aspirations. Third, we observe that significant differences exist among entrepreneurs based on context, specifically among necessity-driven entrepreneurs. These findings have practical implications for research on entrepreneurship and for regional development.     

In search of demanded competencies: designing superior compensation systems

Employees' competencies are decisive components in a firm's competitiveness. Accordingly, the purpose of this paper is to assess whether differences in strategy influence employees' competencies and how the design of compensation systems may best take into account the competencies required by a firm. An analysis was conducted on a sample of manufacturing firms using structural equation models. The findings support the existence of generic competencies, such as results and customer orientation, which are found in both prospector and defender strategic contexts, while other competencies – such as innovation, technical expertise and adaptability – are specific to the prospector strategy. In relation to compensation, the results show that skill-based pay is more strongly associated with competencies such as innovation, technical expertise and adaptability, whereas performance-based compensation systems encourage result-based competency. Therefore, the design of a compensation system should be guided by the competencies required as part of a firm's strategy.     

Reconsidering learning by exporting

Self-selection and learning by exporting are the main explanations for the higher productivity of exporting firms. But, whereas evidence on self-selection is largely undisputed, results on learning by exporting are mixed and far from conclusive. However, recent research by De Loecker (J Int Econ 73(1):69–98, 2007) has shown that the conclusions from previous learning by exporting studies may have been driven by strong assumptions about the evolution of productivity and the role of export status. Relaxing these assumptions turns out to be critical to find evidence of learning by exporting in a representative sample of Spanish manufacturing firms. Our results indicate that the yearly average gains in productivity are around 3 % for at least 4 years.     

Matricvariate and matrix multivariate T distributions and associated distributions

Several distributions are studied, simultaneously in the real, complex, quaternion and octonion cases. Specifically, these are the central, nonsingular matricvariate and matrix multivariate T and beta type II distributions and the joint density of the singular values are obtained for real normed division algebras.     

Nonparametric methods in sample surveys. Application to the estimation of cancer prevalence

We address the problem of the estimation of the population mean and the distribution function using nonparametric regression. These methods are being used in a wide range of settings and areas of research. In particular, they are a good alternative to other classical methods in the survey sampling context, since they work under the assumption that the underlying regression function is smooth. Some relevant nonparametric regression methods in survey sampling are presented. Data on breast cancer prevalence derived from 40 European countries are used to study the application of the nonparametric estimators to the estimation of cancer prevalence. Result derived from an empirical study show that nonparametric estimators have a good empirical performance in this study on cancer prevalence.     

Some results on relocation policies

In this paper, we derive general results concerning optimal relocation policy under some assumptions. We consider a firm that is located in a specific location, producing at a certain level of efficiency. With time, the firm can decide to change its location to a new and more efficient site, paying relocation costs. Moreover, we assume that these new sites become available according to a Poisson process, and that the levels of efficiency improvement inherent to each one of these sites are random variables. With this framework, we characterise certain parameters of the optimal relocation policy. In particular, we characterise the expected relocation time and we prove that it depends on the distribution of the level of efficiency improvement only through an expected value. Therefore, the optimal policy shows a kind of robustness in terms of the stochastic assumptions of the problem, which has a major impact in the application of relocation policies. In addition, we also characterise the optimal relocation time. Impacts on the final results driven by the characteristics of the firm's original location site, the market environment and the way in which risk is modelled are studied numerically. The overall results are in line with economic intuition.     

Participant‐focused analysis: explanatory power of the classic psychometric paradigm in risk perception

Typical psychometric paradigm factors appear to have greater explanatory power for individual participants than previously envisaged. It is possible to acquire interpretable information about single participants using two factors (catastrophic potential and social and personal exposure) from aggregated participant‐focused data. Our results suggest that the classical psychometric model originated by Fischhoff and Slovic in the early 1980s to explain differences among hazards may also be capable of accounting for differences among participants. While socio‐demographic conditions on their own do not have substantial explanatory power, they are statistically significant and appear to dictate the position of participants within the factor space obtained using a participant‐focused analysis. One of the principal criticisms of the psychometric paradigm has been its lack of interpretability when using disaggregated data, but incorporating socio‐demographic variables overcomes this limitation.