Regional variations in entrepreneurial cognitions: Start-up intentions of university students in Spain

Empirical research has recently paid considerable attention to the role of environmental factors in explaining regional variations in entrepreneurial activity. However, cognitive models have not usually included these factors in their analyses. Therefore, the main objective of this study is to identify some of the environmental cognitive elements that may explain regional differences in start-up intentions. Thus, an entrepreneurial intention model is developed, theoretically based on the planned behaviour approach, institutional economic theory and social capital theory. The empirical analysis is carried out using structural equation techniques over a sample of 549 final year university students from two Spanish regions (Catalonia and Andalusia). Results confirm that valuation of entrepreneurship in each region helps explain regional differences in entrepreneurial intentions. As expected, social valuation of the entrepreneur was higher in the more developed region (Catalonia), positively affecting perceived subjective norms and behavioural control. In Andalusia, the influence of perceived valuation of the entrepreneur in the closer environment was more important, affecting attitude towards the behaviour and subjective norms. These results explain some of the differences in the pool of potential entrepreneurs in each region. They also justify the need by public-policy decision-makers to promote more positive entrepreneurial values in relatively backward regions.     

Gaps between managers' and employees' perceptions of work–life balance

Research on work–life balance (WLB) practices has increased in recent years. Academics affirm that the implementation of WLB practices helps to achieve better organizational results and improve employee outcomes such as higher satisfaction and commitment, and reduce turnover intentions. However, some authors have argued that there are differences between the availability of WLB practices in companies and employees' perceptions of access to such practices. The literature on the differences in perceptions between managers and employees in relation to WLB and its effects is sparse. Using two samples of 229 managers and 511 employees from the same firms, we in this paper contribute to our knowledge of the existence of the perception gaps between managers and employees and their influence on the take-up of WLB. Implications for academics and practitioners are discussed.     

Influence of the sector and the environment on human resource practices' effectiveness

The aim of this work is to examine the effect that human resource practice has on performance. From a database made up of 250 companies in Spain and by means of a regression analysis, we test empirically whether human resource practices generate positive results under any circumstance or if their effectiveness depends on certain contexts. In this respect, focusing the study on the activity sector and the environment, we analyse whether high levels of competition in the environment and service companies constitute more attractive contexts for the adoption of high involvement practices.     

Visual displays: analytical study and applications to graphs and real data

Principal axis methods such as principal component analysis (PCA) and correspondence analysis (CA) are useful for identifying structures in data through interesting planar graphic displays. However, some kinds of data sets can be dealt alternatively with PCA or CA. This paper focuses on methods, such as PCA and CA, and on visual displays. Our aim is to illustrate the implications for a potential user of selecting either method, and its advantages and disadvantages, from an applied point of view. This is a matter covered broadly in textbooks and elsewhere considering theoretical arguments. Our purpose is to contribute to the comparison between these methods, over the same data set, in order to illustrate them for the practitioner. In the first part of this paper we present a novel analytical study of a binary matrix associated with a non-oriented axis-symmetric graph and show that CA outperforms standardized PCA for the reconstitution and visualization of such kind of graphs. In the second part we present a case using real data dealing with the distribution of employees in different economic sectors for the countries of the European Union, analyzed by means of standardized PCA and two-way CA, in order to see the differences between the two methods in practice.     

Term structure and the estimated monetary policy rule in the Eurozone

In this paper we estimate a standard version of the New Keynesian Monetary (NKM) model augmented with term structure in order to analyze two issues. First, we analyze the effect of introducing an explicit term structure channel in the NKM model on the estimated parameter values of the model, with special emphasis on the interest rate smoothing parameter using data for the Eurozone. Second, we study the ability of the model to reproduce some stylized facts such as highly persistent dynamics, the weak comovement between economic activity and inflation, and the positive, strong comovement between interest rates observed in actual Eurozone data. The Sect. 3 implemented is a classical structural method based on the indirect inference principle. We are grateful to Eduardo Ley, two anonymous referees and seminar participants at the XXXI Simposio de Análisis Económico (Oviedo, Spain) and Bank of Spain for their useful comments. Financial support from Ministerio de Ciencia y Tecnología and Universidad del País Vasco (Spain) and Fundación Séneca through projects SEJ2004-04811/ECON, 9/UPV00035.321-13511/2001 and I02937/PHCS/05, respectively, is gratefully acknowledged. The first author also thanks Fundación Ramón Areces for financial support.     

Elicitation of Expert Opinion in Benefit Transfer of Environmental Goods

Benefit transfer is a method for estimating the value of environmental goods that involves the use of past information on identical or similar goods. This paper considers the extent to which benefit transfer can be based on prior distributions elicited from expert opinion. We propose two alternative methods to elicit the parameters of a prior distribution from experts on environmental valuation. An experiment is carried out on the value of National Parks in Spain. The results from the elicited distributions are compared with the information provided by onsite samples of visitors. The results indicate that individual experts made different predictions about the potential value of the policy areas that were diverse and unable to accurately predict the value for each policy site. However, the average across the elicited distributions approaches the estimated distribution with empirical data and accurately predicts the relative values for the two policy sites considered.     

ASSESSING THE EFFECT OF PUBLIC SUBSIDIES ON FIRM R&D INVESTMENT: A SURVEY

This survey examines the empirical literature on the relationship between public R&D subsidies and private R&D investment over the past five decades. The survey reveals a considerable heterogeneity of empirical results that cannot be explained fully by methodological issues. We aim to provide further explanations of the possible causes of that heterogeneity. In particular, we emphasise a set of issues that, in our view, are critical to understanding the potential effect of public R&D subsidies on private R&D spending. Special attention is paid to the dynamic aspects and composition of firm R&D, the constraints faced by the firm (such as financial constraints), and the amount and source of public subsidies. None of these issues have been investigated in depth. We formulate a set of research assumptions to guide future empirical research in this field.     

Modelling innovation support systems for regional development – analysis of cluster structures in innovation in Portugal

The present article offers a concise theoretical conceptualization and operational analysis of the contribution of innovation to regional development. The latter concepts are closely related to geographical proximity, knowledge diffusion and filters and clustering. Institutional innovation profiles and regional patterns of innovation are two mutually linked, novel conceptual elements in this article. Next to a theoretical framing, the article employs the regional innovation systems concept as a vehicle to analyse institutional innovation profiles. Our case study addresses three Portuguese regions and their institutions, included in a web-based inventory of innovation agencies which offered the foundation for an extensive database. This data-set was analysed by means of a recently developed principal coordinates analysis followed by a Logistic Biplot approach (leading to a Voronoi mapping) to design a systemic typology of innovation structures where each institution is individually represented. There appears to be a significant difference in the regional innovation patterns resulting from the diverse institutional innovation profiles concerned. These profiles appear to be region specific. Our conclusion highlights the main advantages in the use of the method used for policy-makers and business companies.     

Asymptotic inference for a one-dimensional simultaneous autoregressive model

A nonstationary simultaneous autoregressive model \({X^{(n)}_k=\alpha \Big(X^{(n)}_{k-1}+X^{(n)}_{k+1}\Big)+\varepsilon_k, k=1, 2, \ldots , n-1}\), is investigated, where \({X^{(n)}_0}\) and \({X^{(n)}_n}\) are given random variables. It is shown that in the unstable case α = 1/2 the least squares estimator of the autoregressive parameter converges to a functional of a standard Wiener process with a rate of convergence n ², while in the stable situation |α| < 1/2 the estimator is biased but asymptotically normal with a rate n ^1/2.     

Dating Business-Cycle turning points

This paper presents a logit model for dating business-cycle turning points. The regressors are monthly series from the Business Cycle Indicators database of the Conference Board. Dividing the sample period into a subset for model initialization (1959∶9–1970∶12) and a subset for testing (1971∶1–2003∶12) yields a chronology that is nearly identical to that established by the National Bureau of Economic Research (NBER). However, the recognition lag is less than four months, in contrast to an average of more than eleven months for the official chronology. (JEL E320) The author is grateful for comments by an anonymous referee.