The Effective Use of National Recovery and Resilience Plan Funding: A Methodological Approach for the Optimal Assessment of the Initiative Costs

Francesco Tajani (), Felicia Di Liddo and Rossana Ranieri
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Francesco Tajani: Department of Architecture and Design, Sapienza University of Rome, 00196 Rome, Italy
Felicia Di Liddo: Department of Civil, Environmental, Land, Building Engineering and Chemistry, Polytechnic University of Bari, 70126 Bari, Italy
Rossana Ranieri: Department of Architecture and Design, Sapienza University of Rome, 00196 Rome, Italy

Land, 2022, vol. 11, issue 10, 1-21

Abstract: With reference to the National Recovery and Resilience Plan (NRRP), the financial budget provided for a specific project constitutes a fundamental constraint to be taken into account in the selection phase of the initiatives to be carried out. In the present research, a methodological approach based on an optimization algorithm that allows one to minimize the differential between the assessed costs and the budget provided for the project, has been defined. The methodology is organized in three phases and, by borrowing the logic of the Operational Research, aims to minimize the gap between the costs assessed by the expert technician and the final costs, in order to fit the preliminary set budget. In this sense, the developed tool constitutes an effective support for Public Administrations and private investors for choosing the investments to be implemented, in order to identify the best initiatives in which to allocate the public funding, by preventing needless waste of limited financial resources that could be invested in alternative interventions, and to generate further benefits for the communities.

Keywords: construction costs; costs assessment; NRRP; methodological approach; budget of the project; optimization algorithm (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:11:y:2022:i:10:p:1812-:d:944065

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