协商公私伙伴关系中的公共利益评估

Q4 Business, Management and Accounting

International Journal of Multicriteria Decision Making Pub Date : 2017-07-17 DOI:10.1504/IJMCDM.2017.085163

F. Battisti, M. Guarini

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引用次数: 15

摘要

“公共利益”一直是协商型公私伙伴关系(PPPN)的必要和不可避免的条件，这是1992年意大利法律引入的。然而，直到2014年，公共利益的意义才通过艺术得以厘清。第17.1号法律g)条164'2014，通过将其与城市化的非凡贡献相匹配。在这项法律中，特别捐款的定义只考虑到纯粹的财务标准。相反，欧洲指令和判例法重申了公共利益的多维内涵。这项工作的目的是建立一个多标准评估程序，使市政当局能够通过考虑不同的财政、程序、社会经济、环境和技术组成部分来评估PPPN倡议的公共利益。本程序适用于应适用PPPN的欧洲环境;为了测试其运作能力，它将被应用于一个案例研究:门塔纳综合行动计划。

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Public interest evaluation in negotiated public-private partnership

'Public interest' has always been a necessary and unavoidable condition in Public-Private Partnership negotiated-type (PPPN), introduced in the Italian law in 1992. However, only in 2014 that the meaning of public interest has been clarified through art. 17.1 letter g) of Law no. 164'2014, by matching it with an extraordinary contribute of urbanisation. In this law the extraordinary contribution is defined by taking into account only the purely financial criteria. Instead, European Directives and case law reaffirmed the multi-dimensional connotation of public interest. The aim of this work is the construction of an evaluation multi-criteria procedure enabling a municipality to evaluate the public interest of a PPPN initiative, by considering heterogeneous financial, procedural, socio-economic, environmental, technical components. The procedure is applicable in the European context where PPPN shall apply; to test its operational capacity it will be applied to a case study: the Integrated Action Programme in Mentana (RM).

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来源期刊

International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management

CiteScore

0.70

自引率

0.00%

发文量

期刊介绍： IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields