Fishing for complementarities:research grants and research productivity

Academics are increasingly encouraged to acquire external grants to finance their research, and often hold grants from multiple funders concurrently to ensure the continuity of their work. However, there are concerns that inefficiencies occur when funding is received from multiple sponsors, especially when this originates from different sectors. This study investigates complementarities between public/non-profit and private sector sources of research funding with regard to academic output in terms of publications, research impact and research orientation. The empirical analysis is based on novel data on external public/non-profit research grants and industry funding for tenured engineering academics employed at fifteen UK universities. The results suggest that while research grants are generally associated with higher research outcomes, industry funding decreases the marginal utility of public/non-profit funding by lowering the increase in publication rate associated with public/non-profit grants. At the same time, for more commercially oriented research, measured as its patentability score, we find some support for complementarities between public and private-sector research funding. These results suggest that provision of public grants is crucial to the production of research that is distributed openly through publications and proceedings. Private sector grants are important as they may enable more applied research trajectories for those capable of combining publicly and industry sponsored research

Knowledge-intensive sectors and the role of collective performance-related pay

The main contribution of this study is showing that the efficiency effects of collective performance-related pay (CPRP) are more pronounced in knowledge-intensive service sectors (KISs) than in other sectors. The hypothesis is that human resource practices such as CPRP are particularly useful for enhancing firm performance when innovation-supporting knowledge is distributed among multiple skill sets and employee creativity, knowledge creation and knowledge sharing are key success factors for the firm. Cross-sectional estimates obtained for a national sample of approximately 3,800 Italian firms confirm this prediction. These results are validated by adopting a treatment effect approach to solve the self-selection problem

Fishing for complementarities:research grants and research productivity

Academics are increasingly encouraged to acquire external grants to finance their research, and often hold grants from multiple funders concurrently to ensure the continuity of their work. However, there are concerns that inefficiencies occur when funding is received from multiple sponsors, especially when this originates from different sectors. This study investigates complementarities between public/non-profit and private sector sources of research funding with regard to academic output in terms of publications, research impact and research orientation. The empirical analysis is based on novel data on external public/non-profit research grants and industry funding for tenured engineering academics employed at fifteen UK universities. The results suggest that while research grants are generally associated with higher research outcomes, industry funding decreases the marginal utility of public/non-profit funding by lowering the increase in publication rate associated with public/non-profit grants. At the same time, for more commercially oriented research, measured as its patentability score, we find some support for complementarities between public and private-sector research funding. These results suggest that provision of public grants is crucial to the production of research that is distributed openly through publications and proceedings. Private sector grants are important as they may enable more applied research trajectories for those capable of combining publicly and industry sponsored research

O impacto das consultas à central de responsabilidade de crédito sobre a taxa de juro (2017)

Mestrado em Econometria Aplicada e PrevisãoEsta dissertação tem como objetivo estudar o impacto da solicitação por parte das instituições de crédito, nomeadamente, os bancos, da consulta à Central de Responsabilidade de Crédito (CRC) sobre a taxa de juro média dos contratos de crédito. O estudo divide-se em cinco partes. No primeiro capítulo apresenta-se a crescente literatura sobre a partilha de informação (information sharing). O Capítulo 2 introduz com maiores detalhes a descrição dos dados utilizados e a estratégia necessária para um melhor entendimento sobre a relação (ligação) entre banco e empresa, fulcrais para a análise aplicada nesta investigação. No terceiro capítulo expomos a metodologia adotada, pautada no conceito de resultado potencial (potential outcome) e estimação por procedimento de matching. É feito uso tanto do procedimento de matching nas próprias covariáveis do modelo - através do nearest neighbor estimator - quanto o matching baseado no propensity score. Ademais, segundo sugere a literatura, as estimativas OLS também são incluídas como base de comparação. No Capítulo 4, para além da exposição dos resultados alcançados, traçamos as discussões quanto à aplicabilidade das hipóteses adotadas, nomeadamente a hipótese de overlap, como também da adequação dos próprios resultados, através da análise do balanceamento (balance) das covaríaveis. Por fim, o Capítulo 5 tece considerações finais, apontando as suas limitações e evidenciando as principais conclusões do estudo.This dissertation aims to analyze the impact of the inquiries' request by the credit institutions, namely the banks, to the Central de Responsabilidade de Crédito (CRC) - Portuguese Public Registry - on the average interest rate of credit contracts. The study is divided into five parts. The first chapter presents the growing literature on information sharing. Chapter 2 introduces the data used and the necessary strategy for a better understanding of the relationship between the bank and the company, central to the analysis applied in this research. In Chapter 3 we present the methodology adopted, based on the concept of potential outcome and estimation by matching procedure. Both the matching procedure in the covariates of the model - through the nearest neighbor estimator - and the matching under the propensity score are used. Furthermore, as suggested in the literature, OLS estimates are also included for comparing purposes. In Chapter 4, in addition to presenting the results achieved, we discuss the applicability of the hypotheses adopted, namely the overlap hypothesis, as well as the adequacy of the results themselves, by analyzing the balance of the covariates. Finally, Chapter 5 brings the final considerations of this research, pointing out its limitations and highlighting the main conclusionsinfo:eu-repo/semantics/publishedVersio