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<title>Monografías / Capítulos de monografía CORFIN</title>
<link>https://hdl.handle.net/10259/8643</link>
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<pubDate>Wed, 29 Apr 2026 19:36:29 GMT</pubDate>
<dc:date>2026-04-29T19:36:29Z</dc:date>
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<title>An Analysis of the Efficiency of European Funds</title>
<link>https://hdl.handle.net/10259/8651</link>
<description>An Analysis of the Efficiency of European Funds
Blanco Alcántara, David; Cámara Payno, Andrea; Gallud Cano, Jorge; López de Silanes, Florencio
The chapter analyses the use and management of the European Structural and Investment Funds, attending to the differences between the countries that carry out them to highlight possible inefficiencies. Taking the EU funds related to the Multiannual Financial Framework 2014–2020, made up by 7.162 projects, the types of funds and their distribution among the countries are analysed through different maps, by comparing budget, decided and spending policies for the projects by each country, with special emphasize the European Regional Development Fund and Cohesion Fund. The paper continues with an empirical research to contrast the hypotheses connected with the efficiency use of funds and indicators that measure the level of transparency and corruption in each country. The results show that the efficiency is higher in northern countries, Finland and Denmark especially, where the levels of transparency are higher and the corruption rates lower.
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<pubDate>Wed, 30 Nov 2022 00:00:00 GMT</pubDate>
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<dc:date>2022-11-30T00:00:00Z</dc:date>
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<title>Fraud and Corruption in EU Funding. The Problematic Use of European Funds and Solutions</title>
<link>https://hdl.handle.net/10259/8645</link>
<description>Fraud and Corruption in EU Funding. The Problematic Use of European Funds and Solutions
Blanco Alcántara, David; García-Moreno Rodríguez, Fernando; López de Foronda Pérez, Óscar
This book provides systematic comparative research of antifraud laws and context at EU countries using a Artificial Neural Network (ANN) model to predict illegal activities in ERDF and CF. It also details a map of corruption risk with the goal of  reducing corruption and fraud in the management of European Regional Development Funds and Cohesion Funds through the incorporation of adequate measures and strategies derived from the resulting of EUMODFRAUD EU Project. The authors analyse the specific situations, observe the risks and finally, propose an innovative method that allows predicting fraudulent acts, which will be of interest to both academics, researchers, and policy makers in financial services, public finance, and financial crime.
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<pubDate>Wed, 30 Nov 2022 00:00:00 GMT</pubDate>
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<dc:date>2022-11-30T00:00:00Z</dc:date>
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<title>How Do Banks and Investment Funds Affect Family Risk-Taking? Evidence from the Financial Crisis</title>
<link>https://hdl.handle.net/10259/8644</link>
<description>How Do Banks and Investment Funds Affect Family Risk-Taking? Evidence from the Financial Crisis
Blanco Alcántara, David; Farinha, Jorge B.; Jara Bertín, Mauricio; López de Foronda Pérez, Óscar; Santamaría Mariscal, Marcos
We study the risk-return relationship for an international sample of family and nonfamily firms in the period 2007 to 2014. According to prior studies and following the Prospect theory, we obtain a nonlinear risk-return relation and a target level of profitability for family firms in order not to assume excessive level of corporate risk taking. This relation is more prominent in companies from countries with lower protection to creditors and less aversion to uncertainty. Also, we find evidence that institutional investors exert pressure on family firms to increase corporate risk taking, even when the return is lower than the target, with the negative consequence of reducing the profitability and going to bankruptcy, as it happened during the years of financial crisis. While banks, as big shareholders, reduce risk because they try to preserve their financial relationship with family firms. This conservative role is positive to the profitability of the firm for values lower than the return target.
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<pubDate>Tue, 24 Jul 2018 00:00:00 GMT</pubDate>
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<dc:date>2018-07-24T00:00:00Z</dc:date>
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