Public projects for regional development are prepared and implemented in order to create social benefits for society of a particular region – to improve living and working conditions and/or to protect the environment. Every investment option should be evaluated and substantiated before the right investment decision is made. The valuation of public projects is complicated due to complexity of valuation of social benefits for the regional society. Expected impact of public project should effectively satisfy society needs. The methods for public projects’ evaluation should be chosen in critical approach. The aim of this methodological research is highlight the main problems of methods used for evaluation of public projects for regional development. This article provides main characteristic of public projects for regional development, reviews the methods used for evaluation of public projects for regional development, presents problematic questions of public projects’ evaluation raised in scientific literature, provides a summary of the main problems of evaluation methods used for regional development public projects.
Initiators of public investment projects and representatives of target groups seek to choose the best option ensuring the greatest benefits generated to the public. Measurement of social benefits is complicated due to a multifaceted character and complexity of monetary measures as well as other quantitative and qualitative measures. The issue of social benefits' measurement is controversial and full of criticism. Consequently, discussing it is highly relevant. We propose a model for comprehensive evaluation of social benefits generated by public investment projects. This model allows choosing the best option of a project irrespective of the areas of social environment, initiators and operators, target groups, size of initial investments, locations of implementation, as well as tangibility of investments. This model was tested by employing a method of case study analysis. SAW was applied for combining different social benefit indicators into one comparable indicator and TOPSIS -for determination of general indicator variation values. The model was developed for ex-ante evaluation of social benefits generated by public investment projects. It does not cover financial outcome, operating costs, risk appraisal and issues of determining the social discount rate. JEL classification:H40, H41, H43
The European Innovation Partnership (EIP) is considered to be a new phenomenon signalling political will, highly relevant issue in contemporary domain of discussions among practitioners and researchers. While practitioners lack experience, researchers make attempts to identify the factors that influence effectiveness of an innovation partnership, explore the indicators and techniques to determine and evaluate its effectiveness. Aim of the study presented in the article is to determine the external and internal factors that influence effectiveness of the European Innovation Partnership by analysing the operating conditions of an operational group of the European Innovation Partnership in Agriculture (EIP-AGRI). Expert evaluation was carried out by experts who have scientific and practical experience: scientists, policy makers, innovators, developing an innovation partnership. The force field analysis has shown that the number of negative factors of EIP effectiveness exceeds the number of positive factors, and the factors analysed and evaluated allow to identify potential negative consequences in a timely manner and provide the opportunity to predict effectiveness of the EIP-based projects.
This article suggests a new concept of entrepreneurship based on a modern approach about competition between agribusiness entities and according to the area of their commercial activity. The importance of entrepreneurship measurement is grounded and the correctness of the methodology is proven. Creating a model that covers all aspects of entrepreneurship measurement was determined as the aim of this article. This article presents a real, innovative methodology for measuring entrepreneurship in the agricultural sector based on the modification of TOPSIS method. The method chosen was recognized as the most appropriate for determining the level of entrepreneurship, which is expressed by quantitative parameters. Using the modification of multicriteria TOPSIS method for measuring entrepreneurship in agricultural entities, 12 specific criteria were selected. The model has been tested in the livestock farms of Lithuania to include entrepreneurship as a criterion in assessing the potential of these farms and their readiness to apply sustainable and environmentally friendly activities to organic farming. The applicability of the model has been directly confirmed. The use of the model makes it possible to rank agricultural businesses in a given region according to their degree of entrepreneurship.
Viešieji investiciniai projektai, skirtingai nei verslo projektai, negeneruoja grynųjų pajamų (arba generuoja nepakankamai, kad būtų finansiškai pagrįsti), o kuria socialinę naudą visuomenei. Tokių projektų pagrindinis tikslas-viešųjų poreikių tenkinimas: socialinių, ekonominių, aplinkosauginių. Plačiąja prasme-tai visuomeninė-socialinė nauda. Prieš priimant investicinį sprendimą, kiekvienas projektas turi būti įvertintas ir pagrįstas. Viešųjų projektų vertinimui plačiai naudojama kaštų naudos analizė nevisiškai atitinka viešųjų projektų pagrindinę koncepciją. Šio tyrimo tikslas-atskleisti kaštų naudos analizės metodo, naudojamo viešųjų projektų vertinimui, privalumus ir trūkumus, apibrėžti problemų lauką kitiems galimiems moksliniams tyrimams-kaštų naudos analizės metodo tobulinimui ar naujų metodų, viešųjų projektų vertinimui, kūrimui.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.