Does social capital reinforce technological inputs in the creation of knowledge? Evidence from the Spanish regions

In this paper we seek to verify the hypothesis that trust and cooperation between individuals, and between them and public institutions, can encourage technological innovation and the adoption of knowledge. Additionally, we test the extent to which the interaction of social capital with human capital and R&D expenditures improve their effect on a region’s ability to innovate. Our empirical evidence is taken from the Spanish regions and employs a knowledge production function and longitudinal count data models. Our results suggest that social capital correlates positively with innovation. Further, our analysis reveals a powerful interaction between human and social capital in the production of knowledge, whilst the complementarity with R&D efforts would seem less clear.

Coneixement i indústria

En síntesi, l'economia del coneixement, per la qual hem d'apostar, no és eliminar la indústria, és una cosa ben diferent. Apostar per la recerca i la innovació sí, però també una indústria forta que les integri. El govern explica en el seu pla d'acció que s'han identificat i definit set àmbits en els quals centrarà les seves prioritats en política industrial i orientarà les seves accions

Internal promotion versus external recruitment: evidence in industrial plants

An analysis is carried out in a sample of 738 industrial plants of the determining factors in the use of internal promotion of blue-collar workers to middle managers and skilled technicians as against their external recruitment. The use of internal promotion is positively correlated with variables indicative of the efforts made by plants to measure employees' skills, and to a lesser extent, with the level of specificity of investments in human capital made by blue-collar workers. Contrary to what was expected, variables related with the use and efficiency of other incentive systems have no significant influence on the increased or decreased use of internal promotion. These results are initial evidence that internal promotions are used to protect and favour specific investments, especially those made by firms in order to discover their workers' skills.

Firm Size and Geographical Aggregation: An Empirical Appraisal in Industrial Location

This paper assesses empirically the importance of size discrimination and disaggregate data for deciding where to locate a start-up concern. We compare three econometric specifications using Catalan data: a multinomial logit with 4 and 41 alternatives (provinces and comarques, respectively) in which firm size is the main covariate; a conditional logit with 4 and 41 alternatives including attributes of the sites as well as size-site interactions; and a Poisson model on the comarques and the full spatial choice set (942 municipalities) with site-specific variables. Our results suggest that if these two issues are ignored, conclusions may be misleading. We provide evidence that large and small firms behave differently and conclude that Catalan firms tend to choose between comarques rather than between municipalities. Moreover, labour-intensive firms seem more likely to be located in the city of Barcelona. Keywords: Catalonia, industrial location, multinomial response model. JEL: C250, E30, R00, R12

Una aproximación sectorial a la localización industrial en Cataluña

El objetivo de este estudio es analizar las decisiones de localización de las actividades industriales desde una óptica sectorial. En concreto, se explica la distribución municipal en Catalunya del número de nuevas inversiones procedentes del Registro de Establecimientos Industriales, durante el período 1986-2000. Los determinantes de la localización industrial se han agrupado en tres categorías: condiciones de oferta de factores, economías de aglomeración y accesibilidad. El análisis se lleva a cabo utilizando un modelo de eventos discretos con datos de panel. Los resultados obtenidos muestran que los tres conjuntos de variables introducidas son relevantes en la explicación de la localización de las empresas manufactureras y que actúan en diferente grado para los diferentes sectores.

Infraestructures de Transport i Localització Industrial. Evidència Empírica per a Catalunya

El propòsit d'aquest treball és analitzar fins a quin punt la millora en l'accessibilitat dels municipis a la xarxa viària d'alta capacitat ha tingut efectes positius en la creació d'establiments industrials. En concret, estudiem les decisions de localització d'establiments industrials a escala local per a 19 sectors manufacturers amb una desagregació de 2 dígits. Aquest treball incorpora variables de gran rellevància (com ara una mesura d'accessibilitat mesurada en temps de desplaçament i els efectes de les inversions viàries) i utilitza tècniques d'anàlisi espacial. Pel que fa a les entrades d'establiments industrials, les dades han estat obtingudes del Registre d'Establiments Industrials de Catalunya (REIC). Els resultats mostren una incidència positiva de les millores en la xarxa viària sobre les decisions de localització de les empreses.

Industrial location at a local level: some comments about the territorial level of the analysis

This paper contributes to the existing literature on industrial location by discussing some issues regarding the territorial levels that have been used in location analysis. We analyse which could be the advantages and disadvantages of performing locational analysis at a different local levels. We use data for new manufacturing firms located at municipality, county and travel to work areas level. We show that location determinants vary according to the territorial level used in the analysis, so we conclude that the level at which we perform the investigation should be carefully selected. Keywords: industrial location, cities, agglomeration economies, count data models.

Empirical studies in industrial location: an assessment of their methods and results

This paper surveys recent evidence on the determinants of (national and/or foreign) industrial location. We find that the basic analytical framework has remained essentially unaltered since the early contributions of the early 1980's while, in contrast, there have been significant advances in the quality of the data and, to a lesser extent, the econometric modelling. We also identify certain determinants (neoclassical and institutional factors) that tend to provide largely consistent results across the reviewed studies. In light of this evidence, we finally suggest future lines of research.

Industrial districts, innovation and I-district

The I-district effect hypothesis establishes the existence of highly intense innovation in Marshallian industrial districts due to the presence of external localization economies. However, industrial districts are characterized by specific manufacturing specializations in such a way that this effect could be due to these dominant specializations. The objective of this research is to test whether the effect is explained by the conditions of the territory or by the industrial specialization and to provide additional evidence of the existence and causes of the highly intense innovation in industrial districts (I-district effect). The estimates for Spain of a fixed effects model interacting territory and industry suggest that the high innovative performance of industrial districts is maintained across sectors whereas the industrial specialization behaves differently depending on the type of local production system in which it is placed. The I-district effect is related to the conditions of the territory more than to the industrial specialization. The territory is a key variable in explaining the processes of innovation and should be considered a basic dimension in the design of innovation and industrial policies.

(Optimal) Spatial Aggregation in the Determinants of Industrial Location

Empirical studies on the determinants of industrial location typically use variables measured at the available administrative level (municipalities, counties, etc.). However, this amounts to assuming that the effects these determinants may have on the location process do not extent beyond the geographical limits of the selected site. We address the validity of this assumption by comparing results from standard count data models with those obtained by calculating the geographical scope of the spatially varying explanatory variables using a wide range of distances and alternative spatial autocorrelation measures. Our results reject the usual practice of using administrative records as covariates without making some kind of spatial correction. Keywords: industrial location, count data models, spatial statistics JEL classification: C25, C52, R11, R30

Relationship between technological progress, capital elasticity and emissions of industrial pollutants for the production sectors in Catalonia

As is known, the Kyoto Protocol proposes to reinforce national policies for emission reduction and, furthermore, to cooperate with other contracting parties. In this context, it would be necessary to assess these emissions, both in general and specifically, by pollutants and/or among productive sectors. The object of this paper is precisely to estimate the polluting emissions of industrial origin in Catalonia in the year 2001, in a multivariate context which explicitly allows a distinction to be made between the polluter and/or the productive sector causing this emission. Six pollutants considered, four directly related to greenhouse effect. A multi-level model, with two levels, pollutants and productive sectors, was specified. Both technological progress and elasticity of capital were introduced as random effects. Hence, it has been permitted that these coefficients vary according to one or other level. The most important finding in this paper is that elasticity of capital has been estimated as very non-elastic, with a range which varies between 0.162 (the paper industry) and 0.556 (commerce). In fact, and generally speaking, the greater capital the sector has, the less elasticity of capital has been estimated. Key words: Kyoto protocol, multilevel model, technological progress

Medición del poder de mercado en la industria del cobre de Estados Unidos: una aproximación desde la perspectiva de la Nueva Organización Industrial Empírica.

El estudio de la relación entre la estructura de la industria y el poder de mercado ha sido uno de los temas más discutidos en la literatura microeconómica. En esta investigación se adopta el enfoque de la "Nueva Organización Industrial Empírica" (NOIE) y se siguen los modelos desarrollados por Bresnahan (1982) y Lau (1982), y Porter (1983) para analizar el efecto de varias fusiones y adquisiciones sobre el poder de mercado de la industria del cobre en Estados Unidos durante el periodo 1994 - 2009. Se destaca que aunque el análisis de la industria muestra una mayor concentración, los resultados sugieren que las fusiones y adquisiciones no tuvieron efecto sobre el poder de mercado y que la industria mantuvo una conducta competitiva durante el periodo analizado.

Industrial Location and Space: New Insights

This paper tries to resolve some of the main shortcomings in the empirical literature of location decisions for new plants, i.e. spatial effects and overdispersion. Spatial effects are omnipresent, being a source of overdispersion in the data as well as a factor shaping the functional relationship between the variables that explain a firm’s location decisions. Using Count Data models, empirical researchers have dealt with overdispersion and excess zeros by developments of the Poisson regression model. This study aims to take this a step further, by adopting Bayesian methods and models in order to tackle the excess of zeros, spatial and non-spatial overdispersion and spatial dependence simultaneously. Data for Catalonia is used and location determinants are analysed to that end. The results show that spatial effects are determinant. Additionally, overdispersion is descomposed into an unstructured iid effect and a spatially structured effect. Keywords: Bayesian Analysis, Spatial Models, Firm Location. JEL Classification: C11, C21, R30.

El concepte de districte industrial: un repàs des de l'òptica de la tradició italiana

L’ article fa un repàs de l’evolució del concepte de districte industrial des de l’ òptica de l’experiència italiana. Partint de la constatació dels canvis que hi ha hagut en les formes d’organització de la producció en els tres darrers decennis, s’exposa l’evolució del model del districte industrial com a paradigma d’ Alfred Marshall, de principis del segle XX, s’ha anat enriquint a mesura que ha madurat l’ experiència districtual, que avui afronta els reptes de la globalització econòmica

The Geographical Scope of Industrial Location Determinants: An Alternative Approach

This paper considers the estimation of the geographical scope of industrial location determinants. While previous studies impose strong assumptions on the weighting scheme of the spatial neighbour matrix, we propose a exible parametrisation that allows for di fferent (distance-based) de finitions of neighbourhood and di fferent weights to the neighbours. In particular, we estimate how far can reach indirect marginal e ffects and discuss how to report them. We also show that the use of smooth transition functions provides tools for policy analysis that are not available in the traditional threshold modelling. Keywords: count data models, industrial location, smooth transition functions, threshold models. JEL-Codes: C25, C52, R11, R30.