Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/149642
Título: The Effect of Public Procurement by Category on Innovation Output: A Fixed Effects Model using Driscoll and Kraay Standard Errors on Municipal Data in Portugal
Autor: Fonseca, Gisela Martins da
Orientador: Damásio, Bruno Miguel Pinto
Pinheiro, Flávio Luís Portas
Palavras-chave: Public procurement
Regional innovation policy
Innovation
Innovation-oriented public procurement
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 10 - Reduced inequalities
SDG 16 - Peace, justice and strong institutions
Data de Defesa: 25-Jan-2023
Resumo: When the government and other public sector entities purchase works, goods or services, it is referred to as public procurement. Although there appears to be an increase in the study of public procurement, there is still a lot to discover that could aid policymakers in their economic decision-making-processes. This thesis adds to past studies by exploring the relationship between public procurement and innovation output at a municipal level in Portugal. A fixed effects model with Driscoll-Kraay standard errors was performed to research the innovation output. The final model suggests that the elasticity of innovation with respect to public procurement in services is negative, which can be explained through many zero or low-innovation outputs in the dataset. Furthermore, the work-related public procurement was shown to be negative but with positive marginal effects while also depending positively on population. Therefore, faster growing municipalities can spend less money on public procurement in works than municipalities that grow at a slower pace to reap the same innovation outcomes.
Descrição: Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
URI: http://hdl.handle.net/10362/149642
Designação: Mestrado em Estatística e Gestão de Informação, especialização em Análise e Gestão de Informação
Aparece nas colecções:NIMS - Dissertações de Mestrado em Estatística e Gestão da Informação (Statistics and Information Management)

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
TEGI2937.pdf1,22 MBAdobe PDFVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.