Are small firms more sensitive to financial variables?

This paper analyses the impact of different sources of finance on the growth of firms. sing panel data from Spanish manufacturing firms for the period 2000-2006, we investigate the effects of internal and external finances on firm growth. In particular, we examine wo dimensions of these financial sources: a) the performance of the firms' capital structure n accordance with firm size; b) the combined effect of equity, external debt and cash low n firm growth. We find that low-growth firms are sensitive to cash low and short-term ank debt, while high-growth firms are more sensitive to long-term debt. Furthermore, ur results show that low-growth firms are more sensitive to short-term financial variables, hile fast growth firms are more sensitive to long-term financial variables. EL codes: L25, R12. eywords: Finance, Firm growth, Quantile regressions, Small firms

Is there Descriminatory Mortgage Pricing against Immigrants in the Spanish Lending Market?

In this paper, we investigate whether evidence of discriminatory treatment against immigrants in the Spanish mortgage market exists. More specifically, we test whether, ceteris paribus, immigrant borrowers tend to be charged with higher interest rates on their mortgages than their Spanish born counterparts. To do so, we use a unique dataset on granted mortgages that contains information not only regarding the conditions of the loan but also the socio-economic characteristics of the mortgagors. We observe that immigrants are systematically charged with higher interest rates. We apply the well known Oaxaca-Blinder decomposition to measure the extent to which this disparate treatment of lenders in mortgage pricing against immigrants is due to discrimination. Our results indicate that approximately two thirds of the gap in the interest rate between Spanish born and immigrant borrowers can be attributed to discriminatory treatment. Key words: Immigration, discrimination, mortgage pricing, housing market. JEL codes: R21, G21, J14

The link between public support and private R&D effort: What is the optimal subsidy?

The effectiveness of R&D subsidies can vary substantially depending on their characteristics. Specifically, the amount and intensity of such subsidies are crucial issues in the design of public schemes supporting private R&D. Public agencies determine the intensities of R&D subsidies for firms in line with their eligibility criteria, although assessing the effects of R&D projects accurately is far from straightforward. The main aim of this paper is to examine whether there is an optimal intensity for R&D subsidies through an analysis of their impact on private R&D effort. We examine the decisions of a public agency to grant subsidies taking into account not only the characteristics of the firms but also, as few previous studies have done to date, those of the R&D projects. In determining the optimal subsidy we use both parametric and nonparametric techniques. The results show a non-linear relationship between the percentage of subsidy received and the firms’ R&D effort. These results have implications for technology policy, particularly for the design of R&D subsidies that ensure enhanced effectiveness.

Location Determinants of New Firms: Does Skill Level of Human Capital Really Matter?

This paper is about the role played by stock of human capital on location decisions of new manufacturing plants. We analyse the effect of several skill levels (from basic school to PhD) on decisions about the location of plants in various industries and, therefore, of different technological levels. We also test whether spatial aggregation level biases the results and determine the most appropriate areas to be considered in analyses of these phenomena. Our main statistical source is the Register of Manufacturing Establishments of Catalonia (REIC), which has plant-level microdata on the locations of new manufacturing plants. Keywords: agglomeration economies, industrial location, human capital, count-data models, spatial econometrics.

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.

Anàlisi multidisciplinària de la vulnerabilitat a la contaminació de les aigües subterrànies: la conca de l'Onyar (Gironès)

En el present projecte s’ha emprat la metodologia DRASTIC per evaluar la vulnerabilitat a la contaminació de les aigües subterrànies de la conca de l’Onyar. El fet de ser una zona de tradició agrícola i ramadera i amb un creixement urbanístic significatiu, la fa ser una zona de gran interès per l’estudi de la vulnerabilitat. Després d’obtenir l’índex DRASTIC s’ha realitzat una campanya al mes de maig de 2011 per analitzar les concentracions de nitrats a la zona per validar l’estudi. Conjuntament amb el mapa d’usos del sòl i la informació de la localització de les depuradores més properes, s’han comparat els resultats d’ambdós mapes. L’anàlisi dels resultats obtinguts ha permès comprovar que la metodologia dóna bons resultats quan s’analitza la vulnerabilitat a nivell de conca. A més a més, utensilis de fàcil abast aporten informació sobre el perill de contaminació, ajudant a la validació del mètode.

The impact of agglomeration effects and accessibility on wages

This paper contributes to the empirical literature on the effects of agglomeration and road accessibility on productivity of firms by looking at the case of Spain. We approach productivity indirectly by using individual wages allocated at the NUTS III level. We use a repeated cross-section of individual micro-data for the years 1995, 2002 and 2006. The availability of interprovincial travel time data for each of the three years allows controlling for transport improvements over the period by using a market potential variable. Additionally, agglomeration is approached by employment density and we control for localization economies, human capital externalities and a large set of individual and workplace characteristics. Estimating by instrumental variables, our results show a positive and significant effect of market accessibility on wages and non linear effect for employment density.

Descripción socioambiental y análisis de las fuentes de agua de la microcuenca La Jabonera (Estelí, Nicaragua)

El objetivo principal de este proyecto es la caracterización de la microcuenca la Jabonera (Estelí, Nicaragua) enfatizando el agua como factor clave que conecta todos los elementos que interaccionan en la microcuenca y que, además delimita el área de estudio. El trabajo de campo ha consistido básicamente en la georeferenciación de los puntos de interés, la realización de encuestas a la población y la evaluación de las fuentes de agua y del agua del río mediante análisis fisicoquímicos. En el procesamiento de la información se ha elaborado cartografía temática mediante la herramienta SIG que ha servido de soporte para la interpretación de los resultados. Las características morfométricas y biofísicas favorecen que el agua precipitada se pierda rápidamente por escorrentía superficial con una tendencia moderada a crecidas e inundaciones. El agua infiltrada circula rápidamente por fracturas del material geológico con tiempos de tránsito cortos, y además, el área de recarga de los nacientes es local por lo que las fuentes son especialmente vulnerables a períodos de sequía y a la contaminación en su entorno cercano. El estudio de usos del suelo junto con la realización de análisis del agua ha permitido determinar que los agroquímicos son la principal fuente potencial de contaminación del agua en la microcuenca. Los resultados obtenidos muestran la necesidad de llevar a cabo una gestión integrada del territorio que garantice un desarrollo socioambiental sostenible.

R&D cooperation between Spanish firms and scientific partners: what is the role of tertiary education?

This paper explores the factors that determine firm’s R&D cooperation with different partners, paying special attention on the role of tertiary education (degree and PhDs level) in facilitating the connection between the firms and the to scientific bodies (technology centres, public research centres and universities). Here, we attempt to answer two questions. First, are innovative firms that carry out internal and external R&D activities more likely to cooperate on R&D projects with other partners? Second, do Spanish innovative firms with a high participation of researchers with degrees or PhDs tend to cooperate more with scientific partners? To answer both questions we apply a three-dimensional approach on a firm level Panel Data with a sample of 4.998 manufacturing and services Spanish firms. First, we run a complementary test between external R&D acquisition and skilled research workers and find that firms which carry out external R&D activities obtain a greater return on R&D cooperation when they have skilled workers in R&D, especially in high-tech manufactures and KIS services. Second, we carry out a 2-step tobit model to estimate, in the first stage, the determinants that explain whether Spanish innovative firms cooperate or not; and in the second stage the factors that affect the choice of partners. And third, we apply an ordered probit model to test the marginal effects of explanatory variables on the different partners. Here we contrast some of the most interesting empirical hypotheses of previous studies, and which emphasize the role of employees with degrees and PhDs in facilitating cooperative R&D between firms and scientific partners.

The determinants of YIc's R&D activity

This paper examines the determinants of young innovative companies’ (YICs) R&D activities taking into account the autoregressive nature of innovation. Using a large longitudinal dataset comprising Spanish manufacturing firms over the period 1990-2008, we find that previous R&D experience is a fundamental determinant for mature and young firms, albeit to a smaller extent in the case of the YICs, suggesting that their innovation behaviour is less persistent and more erratic. Moreover, our results suggest that firm and market characteristics play a distinct role in boosting the innovation activity of firms of different age. In particular, while market concentration and the degree of product diversification are found to be important in boosting R&D activities in the sub-sample of mature firms only, YICs’ spending on R&D appears to be more sensitive to demand-pull variables, suggesting the presence of credit constraints. These results have been obtained using a recently proposed dynamic type-2 tobit estimator, which accounts for individual effects and efficiently handles the initial conditions problem.

Growth in a Cross-Section of Cities: Location, Increasing Returns or Random Growth?

This article analyzes empirically the main existing theories on income and population city growth: increasing returns to scale, locational fundamentals and random growth. To do this we implement a threshold nonlinearity test that extends standard linear growth regression models to a dataset on urban, climatological and macroeconomic variables on 1,175 U.S. cities. Our analysis reveals the existence of increasing returns when per-capita income levels are beyond $19; 264. Despite this, income growth is mostly explained by social and locational fundamentals. Population growth also exhibits two distinct equilibria determined by a threshold value of 116,300 inhabitants beyond which city population grows at a higher rate. Income and population growth do not go hand in hand, implying an optimal level of population beyond which income growth stagnates or deteriorates

Avaluació Ambiental/ L'évaluation environnementale

L'objectiu d’aquesta fitxa tècnica és la difusió de la metodologia Anàlisi de Cicle de Vida, ACV, com a mètode per avaluar ambientalment l’agricultura ecològica, detectar els punts febles i aportar alternatives. Els estudis d’ACV utilitzen la metodologia proposada per les normatives ISO (ISO-14040, 2006; ISO-14044, 2006). Els estudis previs que l’han aplicat avalen la metodologia, mostrant que l’eina ACV reuneix les característiques d’objectivitat i transparència per a l’estudi de l’impacte ambiental de la producció agrària ecològica. Existeixen, però, aspectes metodològics poc desenvolupats que requeriran de futura recerca i que resumim en aquesta fitxa. Aspectes principalment relacionats amb la necessitat de bases de dades locals per una correcta realització dels inventaris i consens en les metodologies per anàlisis d’impactes relacionats principalment amb l’ús del sòl, biodiversitat i toxicitat.

Internal and External Determinants of Radical and incremental Innovation in SMEs: the case of Catalonia

There is a major concern in economic literature about innovation, which is the interaction between internal and external factors.. In this paper those activities are hypothesized as being determined by some territorial characteristics like labour skills, technological infrastructure, educational facilities, agglomeration economies and industrial structure. This assumption allows understanding why those innovative activities are not spread across space and are located into specific areas. We use a detailed survey containing microdata for 497 SMEs located in Catalonia.

Driving competition in local gasoline markets

Relevant market definition is still a key element of economic analysis of competition in the gasoline market. It is particularly difficult to handle when competition is local and market power is geographically constrained like is the case in the gasoline market. We analyse how the application of the hypothetical monopolist or Small but Significant Non-Transitory Increase in Prices (SSNIP) test performs for defining isochrones using only information on prices and distance among competitors. We conclude that geographic information systems can be very successfully used to define more precisely relevant geographic market in the gasoline retailing. The application to the Spanish gasoline market concludes that geographic relevant market is composed by 5-6 minutes of travel time. Localised market power should be taken into account when analysing the adverse effects of mergers and entry regulations in gasoline retailing. Only drawing small enough isochrones will drive competition in local markets because it is just close rivals that compete effectively with each other.

What underlies localization and urbanization economies? Evidence from the location of new firms

The objective of this paper is to analyze why firms in some industries locate in specialized economic environments (localization economies) while those in other industries prefer large city locations (urbanization economies). To this end, we examine the location decisions of new manufacturing firms in Spain at the city level and for narrowly defined industries (three-digit level). First, we estimate firm location models to obtain estimates that reflect the importance of localization and urbanization economies in each industry. In a second step, we regress these estimates on industry characteristics that are related to the potential importance of three agglomeration theories, namely, labor market pooling, input sharing and knowledge spillovers. Localization effects are low and urbanization effects are high in knowledge-intensive industries, suggesting that firms (partly) locate in large cities to reap the benefits of inter-industry knowledge spillovers. We also find that localization effects are high in industries that employ workers whose skills are more industry-specific, suggesting that industries (partly) locate in specialized economic environments to share a common pool of specialized workers.