Management of the Investment Design Process at the Enterprises of the Energy Sector

Autor: Sébastien Santos, Elena A. Egorycheva, Ekaterina Nezhnikova
Přispěvatelé: Moscow State University, Dauphine Recherches en Management (DRM), Université Paris Dauphine-PSL, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
JEL: L - Industrial Organization/L.L9 - Industry Studies: Transportation and Utilities/L.L9.L90 - General
algorithm
Generalization
Process (engineering)
020209 energy
Organizational model
0211 other engineering and technologies
operational research
02 engineering and technology
Environmental economics
Investment (macroeconomics)
JEL: G - Financial Economics/G.G3 - Corporate Finance and Governance/G.G3.G31 - Capital Budgeting • Fixed Investment and Inventory Studies • Capacity
Energy sector
JEL: C - Mathematical and Quantitative Methods/C.C4 - Econometric and Statistical Methods: Special Topics/C.C4.C44 - Operations Research • Statistical Decision Theory
Investment planning
Organizational Modelling
research study
021105 building & construction
0202 electrical engineering
electronic engineering
information engineering

Design process
Portfolio
[SHS.GESTION]Humanities and Social Sciences/Business administration
Business
Zdroj: International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2018
International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2018, pp.127-137, 2019
Advances in Intelligent Systems and Computing ISBN: 9783030198671
Popis: The purpose of this study is to form a scientifically-based mechanism for managing investment design at the enterprises of the energy sector. In the paper, an organizational model of investment design is developed, an algorithm for the formation and management of a portfolio of energy-saving projects is compiled, the degree of probability of transition of enterprises to resource-and energy-saving technologies is assessed. The conducted studies are based on the system analysis method, process and project approaches, methods of comparison and generalization, classification, expert assessments, modeling, and investment planning. The formulated provisions, conclusions and recommendations can be used by investors in choosing the most acceptable objects for investing their own funds in terms of risk cost.
Databáze: OpenAIRE