Abstract
The article describes an application of the Analytic Hierarchy Process (AHP) to evaluation of criteria for agro-industrial projects. For this purpose, a database was collected from interviews with experts in agricultural regions of Russia (South Urals) in 2015-2016. Experts are classified according to their relationship to agro-industrial business, work experience, education, and gender. The questionnaire was developed based on the analytic hierarchy process methodology. Part of the questions was based on the approach of the prospect theory in order to identify expert attitude to risk associated with the implementation of investment projects. In total, 226 experts responded to the questionnaire. Criteria of agro-industrial projects - financial, social, and risk criteria - were ranked according to their importance and taking into account the expert attitude to risk. Estimates of the criteria importance and expert features analyzed in the study may be used to improve the presentation of agro-industrial projects thus contributing to their successful evaluation. You can submit your Manuscripts at: https://symbiosisonlinepublishing.com/submitManuscript.php
Highlights
The article describes an application of the Analytic Hierarchy Process (AHP) to evaluation of criteria for agro-industrial projects
A variety of financial indicators and the impact of the implementation of AI projects on the social indicators in the region explain why multi-criteria evaluation of projects is important and needs taking into account: a) indicators of economic and social efficiency of the project, b) risks associated with its implementation, c) opinions of experts from various fields - project initiators, investors, bank managers, region leaders, researchers [4]
AHP and its generalizations are widely used for the evaluation of investment projects and the transfer of technology, and related socio-economic effects including the effects of the implementation of agricultural projects
Summary
The article describes an application of the Analytic Hierarchy Process (AHP) to evaluation of criteria for agro-industrial projects For this purpose, a database was collected from interviews with experts in agricultural regions of Russia (South Urals) in 2015-2016. For 1 kg of production the cost of investment is as follows: $4.6 – tomatoes in winter greenhouses (Ural region, Russia), $4.9 – production of pigs in live weight in farms with a full production cycle (Belarus), $6.67 – turkeys in live weight in an integrated farm (Central Russia), and $37.5 – green vegetables in greenhouses (Moscow oblast) (data obtained during the work of one of the authors for Agro Top company, Israel) These factors explain a long-term return on investment and high risks of AI Projects in Russia [2, 3]. When the number of respondents in each group of experts
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
