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Pregled bibliografske jedinice broj: 1002673

MODELING FOR THE ANALYSIS OF THE INVESTMENT POTENTIAL OF THE CONSTRUCTION SECTOR


SHLAFMAN, Natalya; FROLINA, Kateryna; GOTAL DMITROVIć, Lovorka
MODELING FOR THE ANALYSIS OF THE INVESTMENT POTENTIAL OF THE CONSTRUCTION SECTOR // Tehnički glasnik - Technical Journal, 12 (2018), 4; 236-243 doi:10.31803/tg-20180529100246 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1002673 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
MODELING FOR THE ANALYSIS OF THE INVESTMENT POTENTIAL OF THE CONSTRUCTION SECTOR

Autori
SHLAFMAN, Natalya ; FROLINA, Kateryna ; GOTAL DMITROVIć, Lovorka

Izvornik
Tehnički glasnik - Technical Journal (1846-6168) 12 (2018), 4; 236-243

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
construction sector, investment potential, mathematical modelling, method of determining the need, three-factor production function

Sažetak
The purpose of the article is to develop a methodology for determining the need for the amount of investment resources needed to build the investment potential (IP) of the construction sector. The methodology is found in economic and mathematical modelling. We developed a model for the analysis of the investment potential of the construction sector (IPCS) by selecting the three-factor Cobb-Douglas production function for the IPCS study and by constructing a functional dependence from the collected statistical information, which allowed us to analyse the effect of changing the value of one of the selected factors on the resulting factor. The paper shows that market participants can use the proposed methodology to determine the factors that influence the improvement of IPCS, the degree of their influence and the determination of the values necessary to achieve a given level of investment potential.

Izvorni jezik
Engleski

Znanstvena područja
Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Sveučilište Sjever, Koprivnica

Profili:

Avatar Url Lovorka Gotal Dmitrović (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

SHLAFMAN, Natalya; FROLINA, Kateryna; GOTAL DMITROVIć, Lovorka
MODELING FOR THE ANALYSIS OF THE INVESTMENT POTENTIAL OF THE CONSTRUCTION SECTOR // Tehnički glasnik - Technical Journal, 12 (2018), 4; 236-243 doi:10.31803/tg-20180529100246 (međunarodna recenzija, članak, znanstveni)
SHLAFMAN, N., FROLINA, K. & GOTAL DMITROVIć, L. (2018) MODELING FOR THE ANALYSIS OF THE INVESTMENT POTENTIAL OF THE CONSTRUCTION SECTOR. Tehnički glasnik - Technical Journal, 12 (4), 236-243 doi:10.31803/tg-20180529100246.
@article{article, author = {SHLAFMAN, Natalya and FROLINA, Kateryna and GOTAL DMITROVI\'{c}, Lovorka}, year = {2018}, pages = {236-243}, DOI = {10.31803/tg-20180529100246}, keywords = {construction sector, investment potential, mathematical modelling, method of determining the need, three-factor production function}, journal = {Tehni\v{c}ki glasnik - Technical Journal}, doi = {10.31803/tg-20180529100246}, volume = {12}, number = {4}, issn = {1846-6168}, title = {MODELING FOR THE ANALYSIS OF THE INVESTMENT POTENTIAL OF THE CONSTRUCTION SECTOR}, keyword = {construction sector, investment potential, mathematical modelling, method of determining the need, three-factor production function} }
@article{article, author = {SHLAFMAN, Natalya and FROLINA, Kateryna and GOTAL DMITROVI\'{c}, Lovorka}, year = {2018}, pages = {236-243}, DOI = {10.31803/tg-20180529100246}, keywords = {construction sector, investment potential, mathematical modelling, method of determining the need, three-factor production function}, journal = {Tehni\v{c}ki glasnik - Technical Journal}, doi = {10.31803/tg-20180529100246}, volume = {12}, number = {4}, issn = {1846-6168}, title = {MODELING FOR THE ANALYSIS OF THE INVESTMENT POTENTIAL OF THE CONSTRUCTION SECTOR}, keyword = {construction sector, investment potential, mathematical modelling, method of determining the need, three-factor production function} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)


Uključenost u ostale bibliografske baze podataka::


  • EBSCO
  • Clarivate Analytics...


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