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Ángel M. Prieto

Researcher at Spanish National Research Council

Publications -  16
Citations -  653

Ángel M. Prieto is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Data envelopment analysis & Production (economics). The author has an hindex of 8, co-authored 16 publications receiving 581 citations.

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Environmental efficiency and regulatory standards: the case of CO2 emissions from OECD industries

TL;DR: In this article, a Data Envelopment Analysis (DEA) framework is proposed to calculate desirable output losses when specific environmental standards on undesirable production are set by the authority, i.e., legislative opportunity costs.
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Evaluating Effectiveness in Public Provision of Infrastructure and Equipment: The Case of Spanish Municipalities

TL;DR: In this paper, the authors provide state and local official with a decision-making tool that allows evaluation of the quantity and quality of the public services, i.e., infrastructure and equipment, which they are responsible for offering.
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Network DEA efficiency in input–output models: With an application to OECD countries

TL;DR: The proposed model optimizes the underlying multi-stage technologies that the input–output system comprises identifying the best practice economies.
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Return to dollar, generalized distance function and the fisher productivity index

TL;DR: In this article, the duality between a return to dollar definition of profit and the generalized distance function is explored, and the relationship between the Laspeyres, Paasche and Fisher productivity indexes and their alternative Malmquist indexes counterparts is established.
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Cost economies, urban patterns and population density: The case of public infrastructure for basic utilities

TL;DR: In this paper, the authors investigate the existence of economies of scale associated to a larger urban size in terms of population and housing, determine the effect of alternative urban patterns on the cost of provision, and calculate optimal population densities as targets for urban planning.