Regional and Sector-specific Determinants of Industry Dynamics and the Displacement–replacement Effects

In this paper, we empirically assess the importance of regional and sector-specific determinants of industry dynamics. To this aim we test three hypotheses (originally proposed by Shapiro and Khemani (1987, Int J Indust Organ 5:15–26)) for the relationship between the entry and exit of firms: independence, symmetry and simultaneity. Estimates from a panel data system of equations seem to confirm the simultaneity hypothesis for Spain, i.e. we find evidence of a displacement (replacement) effect between the gross rate of entry (exit) and the gross rate of exit (entry). Also, our results show that, irrespective of the hypothesis we use, both sectorial and regional variables affect entry and exit.

What Prevents Firms from Advancing in their Environmental Strategy?

The aim of this paper is to analyze the determinants of the strategic environmental behavior of firms and, more specifically, the external and internal barriers that limit and sometimes even prevent the environmental adaptation. The analysis focuses on a sample of industrial firms that have at least three workers and that are located in Aragón, a region situated in the northeast of Spain. In order to achieve this objective, first the theoretical literature on the topic is reviewed. Subsequently, from the firms which were sampled, the existence of an underlying structure among the totality of barriers is studied. Finally, this structure is analyzed in order to determine if it has any influence on the degree of proactivity of the firm’s environmental strategy.

Value at Risk and Economic Growth

The improvement of data statistics as well as the econometrician methods have facilitated the introduction the new variables and factors I the economic growth analysis. In this sense, real variables have mainly been considered in the economic growth studies, but not financial or risk management aspects. In this sense, it is interesting to analyze the relationship between economic growth and value at risk and the feed-back process. The goal of the paper is to analyze the relationship between economic growth and risk management and the feed-back process. We will consider economic variables, including economic growth, rule of law, human capital, fiscal policy and monetary policy, among others, in our analysis. We will analyze the theoretical relationships between these variables and risk and the effects of risk on economic growth. We will also develop an empirical analysis considering the case of 15 European Union countries.

The role of intellectual capital in the success of new ventures

Identifying the factors that contribute to the success of new ventures is a difficult and challenging task. In that respect, this paper proposes an analysis of the intellectual capital within new business ventures. Based on the study of a sample of 130 new companies, for the purpose of this work we have analysed the influence of the proposed intangible assets on the success of newly-created organizations, acknowledging the key role of the human and relational capital in the first few years of the life of the business.     

The Impact of Relational Capital on the Success of New Business Start‐Ups

This study seeks to highlight the key role played by relational capital in new business start‐ups. Following a review of previous research examining the success factors of new ventures and the role played by intellectual capital, our study sets out to achieve this objective by analyzing the impact of a set of intangible relational assets on the initial success of new business start‐ups. Based on a study of 130 firms, we analyzed six hypotheses regarding the possible positive relationship between the relational capital of a start‐up company and its success in its first few years of business.     

Comparing theories to explain e-commerce adoption

E-commerce is a strategy for rapid growth, especially by small and medium sized businesses (SMEs). However, the adoption rate of e-commerce by SMEs in Latin America is still undersized. The authors compare the theory of planned behavior (TPB) and the theory of reasoned action (TRA) using structural equation modeling to determine which is better at predicting e-commerce adoption intentions among 210 SME managers/owners in Chile. Contrary to previous research with American respondents, the study does not find significant differences between the two theories. Thus, academics should select the more parsimonious model (TRA) to study e-commerce adoption issues in developing countries.     

Business Dynamics and Efficiency in Industries and Regions: The Case of Spain

High rates of firm births and deaths are a pervasive phenomenon across industries and territories. Most studies have related the great turbulence at the fringe of practically all manufacturing industries to positive effects on the long-run performance of industries. According to these views business turbulence, although it has a relatively small incidence on net entry, leads to allocative improvement and stimulates innovation. The existing set of empirical studies does not reach clear conclusions, however, and many questions are still open. Our contribution analyses the relationship between business dynamics in manufacturing and the growth of total factor productivity in industries and regions. After a review of current literature on entry and exit it is argued that most models are tailored to suit the processes observed in industries and regions that are near the technological frontier, and we propose an approach that could be more representative of middle range economies such as Spain. According to this approach new firms are seen more as users of innovations than producers of innovations. We adopt a model based on a vintage capital framework in which new entrants embody the edge technologies available and exiting businesses are supposed to represent the most marginal obsolete plants. Both industries and regions are represented by a Hall's type production function which controls for imperfect competition and economies of scale. The results show that both entry and exit rates contribute positively to the growth of total factor productivity in industries and in regions.     

Interaction between crop insurance and technology adoption decisions: The case of wheat farmers in Chile

This paper examines relationships between crop insurance and input technology decisions among Chilean wheat farmers. Using nationwide farm‐level data, a bivariate probit model is estimated. We investigate the extent to which the adoption of production input technologies is associated with farmers’ participation in the insurance program. We find that relationships between insurance and technology decisions are significant only for family farmers. In particular, there is a negative relationship between participation in the insurance program and the adoption of modern irrigation. Interpretations based on the role of input technologies on insurance adoption and adverse selection behaviours are discussed.     

Evolving splines and seasonal unit roots in weekly agricultural prices

The univariate statistical properties of agricultural price series need to be examined as a first step in the analysis of price transmission mechanisms. However, in the case of weekly price series, increasingly available, the testing procedures usually applied in this step are not suitable to deal with evolving seasonal effects. In this study, a method of testing for seasonal unit roots in weekly series of agricultural prices is described. When the deterministic seasonal component does not remain constant over time, the restricted evolving spline model (RESM) is shown to be a useful parametric formulation to capture the deterministic seasonal pattern. Therefore, the RESM model should be included as a deterministic component in auxiliary regression for unit root tests at seasonal frequencies. This proposal is applied to three weekly series of Canary Islands banana prices. From the standard seasonal unit root tests, the null hypothesis is failed to be rejected at the 5% or 10% significance level at some seasonal frequencies for each one of the series. Once critical values are obtained by simulation exercises when the RESM model is included, the hypotheses of unit root are rejected at each one of the seasonal frequencies for all of the three series.