Student graduation: to what extent does university expenditure matter?

Human capital is one of the most important channels via which universities positively affect regional development. This paper analyzes the relationship between university characteristics and graduation rates, and the role of regional characteristics in this process. We assemble a dataset for the entire public university system in Spain over the last decade. Observing the same university over several years helps us address the problem of unobserved heterogeneity. The main findings that can be drawn from our results are that university features, such as expenditure, student-teacher ratio and financial-aid to students are important in accounting for graduation rates. Likewise, regional characteristics such as labour market conditions appear to matter when generating graduate students.Universities, graduation, human capital, regional economy

A comparison of the economic and environmental performances of conventional and organic farming: evidence from financial statements

While conventional farming systems face serious problems of sustainability, organic agriculture is seen as a more environmentally friendly system since it favours renewable resources, recycles nutrients, uses the environment’s own systems for controlling pests and diseases, sustains ecosystems, protects soils, and reduces pollution. At the same time organic farming promotes animal welfare, the use of natural foodstuffs, product diversity and the avoidance of waste, among other practices. However, the future of organic agriculture will depend on its economic viability and on the determination shown by governments to protect these practices. This paper performs panel regressions with a sample of Catalan farms (Spain) to test the influence of organic farming on farm output, costs and incomes. It analyses the cost structures of both types of farming and comments on their social and environmental performance.organic farming, conventional farming, social/environmental/financial performance, social and environmental accounting, Agribusiness, Environmental Economics and Policy, Farm Management, Q01, Q12, Q51, M41,

Do universities affect firms’ location decisions? Evidence from Spain

Human capital, scientific research, and technology are the three chief mechanisms promoting knowledge spillovers from universities to firms. Based on a study of the impact of Spain’s 1983 University Reform Act (LRU), which opened the door to the foundation of new universities and faculties, this paper examines whether university (or faculty) location affects the creation of new firms within a given province. We conclude that the foundation of science and social science faculties has had a marked impact on the creation of firms.universities, firm location, spillovers, poisson regression

Partial match queries in relaxed K-dt trees

The study of partial match queries on random hierarchical multidimensional data structures dates back to Ph. Flajolet and C. Puech’s 1986 seminal paper on partial match retrieval. It was not until recently that fixed (as opposed to random) partial match queries were studied for random relaxed K-d trees, random standard K-d trees, and random 2-dimensional quad trees. Based on those results it seemed natural to classify the general form of the cost of fixed partial match queries into two families: that of either random hierarchical structures or perfectly balanced structures, as conjectured by Duch, Lau and Martínez (On the Cost of Fixed Partial Queries in K-d trees Algorithmica, 75(4):684–723, 2016). Here we show that the conjecture just mentioned does not hold by introducing relaxed K-dt trees and providing the average-case analysis for random partial match queries as well as some advances on the average-case analysis for fixed partial match queries on them. In fact this cost –for fixed partial match queries– does not follow the conjectured forms.Peer ReviewedPostprint (author's final draft

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 non-parametric 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.R&D, public subsidies, evaluation

Evaluating the Impact of Public Subsidies on a Firms Performance: a Quasi-experimental Approach

Many regional governments in developed countries design programs to improve the competitiveness of local firms. In this paper, we evaluate the effectiveness of public programs whose aim is to enhance the performance of firms located in Catalonia (Spain). We compare the performance of publicly subsidised companies (treated) with that of similar, but unsubsidised companies (non-treated). We use the Propensity Score Matching (PSM) methodology to construct a control group which, with respect to its observable characteristics, is as similar as possible to the treated group, and that allows us to identify firms which retain the same propensity to receive public subsidies. Once a valid comparison group has been established, we compare the respective performance of each firm. As a result, we find that recipient firms, on average, change their business practices, improve their performance, and increase their value added as a direct result of public subsidy programs.public policy, evaluation studies, firm performance, propensity score matching

Assessing the assignation of public subsidies: Do the experts choose the most efficient R&D projects?

The implementation of public programs to support business R&D projects requires the establishment of a selection process. This selection process faces various difficulties, which include the measurement of the impact of the R&D projects as well as selection process optimization among projects with multiple, and sometimes incomparable, performance indicators. To this end, public agencies generally use the peer review method,which, while presenting some advantages, also demonstrates significant drawbacks. Private firms, on the other hand, tend toward more quantitative methods, such as Data Envelopment Analysis (DEA), in their pursuit of R&D investment optimization. In this paper, the performance of a public agency peer review method of project selection is compared with an alternative DEA method.peer review, dea, subsidies, r&d

Universities and regional economic growth in Spanish regions

This paper examines the main contributions of universities to the economic growth of Spanish regions. It calculates the separate effects of the different university functions on the regional economy, namely the creation of human capital, research and technology transfer. It includes a panel data set with the key variables of university activities and their effects on the economy at provincial level. The econometric estimations are based on information for all 47 public universities and include 34 Spanish provinces. The empirical results suggest that the growth of regional GVA is positively correlated to both the human capital created by universities and the stock of university patentsregional economic development, universities, higher education, human capital, research, technology development

On the cost of fixed partial match queries in K-d trees

The final publication is available at Springer via http://dx.doi.org/10.1007/s00453-015-0097-4Partial match queries constitute the most basic type of associative queries in multidimensional data structures such as K-d trees or quadtrees. Given a query q=(q0,…,qK-1) where s of the coordinates are specified and K-s are left unspecified (qi=*), a partial match search returns the subset of data points x=(x0,…,xK-1) in the data structure that match the given query, that is, the data points such that xi=qi whenever qi¿*. There exists a wealth of results about the cost of partial match searches in many different multidimensional data structures, but most of these results deal with random queries. Only recently a few papers have begun to investigate the cost of partial match queries with a fixed query q. This paper represents a new contribution in this direction, giving a detailed asymptotic estimate of the expected cost Pn,q for a given fixed query q. From previous results on the cost of partial matches with a fixed query and the ones presented here, a deeper understanding is emerging, uncovering the following functional shape for Pn,q Pn,q=¿·(¿i:qi is specifiedqi(1-qi))a/2·na+l.o.t. (l.o.t. lower order terms, throughout this work) in many multidimensional data structures, which differ only in the exponent a and the constant ¿, both dependent on s and K, and, for some data structures, on the whole pattern of specified and unspecified coordinates in q as well. Although it is tempting to conjecture that this functional shape is “universal”, we have shown experimentally that it seems not to be true for a variant of K-d trees called squarish K-d trees.Peer ReviewedPostprint (author's final draft

Student graduation: to what extent does university expenditure matter?

Human capital is one of the most important channels via which universities positively affect regional development. This paper analyzes the relationship between university characteristics and graduation rates, and the role of regional characteristics in this process. We assemble a dataset for the entire public university system in Spain over the last decade. Observing the same university over several years helps us address the problema of unobserved heterogeneity. The main findings that can be drawn from our results are that university features, such as expenditure, student-teacher ratio and financial-aid to students are important in accounting for graduation rates. Likewise, regional characteristics such as labour market conditions appear to matter when generating graduate students