Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1039863

Examining the industrial energy consumption determinants: a panel Bayesian model averaging approach


Borozan, Đula; Borozan, Luka
Examining the industrial energy consumption determinants: a panel Bayesian model averaging approach // Energies, 13 (2020), 1; 70, 17 doi:10.3390/en13010070 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1039863 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Examining the industrial energy consumption determinants: a panel Bayesian model averaging approach

Autori
Borozan, Đula ; Borozan, Luka

Izvornik
Energies (1996-1073) 13 (2020), 1; 70, 17

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

Ključne riječi
entrepreneurial activity ; industrial energy consumption, Bayesian model averaging ; GEM ; panel data

Sažetak
The paper explores the impact of early stage and established entrepreneurs on industrial energy consumption across European countries for the period 2001–2017. It proposes that industrial energy consumption is a complex multifaceted result of value-added activities conducted by different types of entrepreneurs and the quality of macroeconomic and entrepreneurial framework conditions, which support or hinder entrepreneurial activity and consequently energy use. After selecting the most appropriate model using a panel Bayesian averaging model approach, a fixed effects panel regression analysis was conducted to investigate more deeply the impact of different types of entrepreneurs on industrial energy consumption. The results show that early stage and established entrepreneurs exhibit different behavioral patterns with respect to energy use. The former follows, although statistically insignificantly, a U-shaped energy use curve. By contrast, the latter follows statistically significantly an inverted U-shaped curve. Additionally, the results confirm the important role of the governments and other policy authorities in creating favorable framework conditions, which can support the changes in behavioral energy practices and the development of new or established businesses aiming for sustainability.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Ekonomija



POVEZANOST RADA


Ustanove:
Ekonomski fakultet, Osijek,
Sveučilište u Osijeku, Odjel za matematiku

Profili:

Avatar Url Luka Borozan (autor)

Avatar Url Đula Borozan (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Borozan, Đula; Borozan, Luka
Examining the industrial energy consumption determinants: a panel Bayesian model averaging approach // Energies, 13 (2020), 1; 70, 17 doi:10.3390/en13010070 (međunarodna recenzija, članak, znanstveni)
Borozan, Đ. & Borozan, L. (2020) Examining the industrial energy consumption determinants: a panel Bayesian model averaging approach. Energies, 13 (1), 70, 17 doi:10.3390/en13010070.
@article{article, author = {Borozan, \DJula and Borozan, Luka}, year = {2020}, pages = {17}, DOI = {10.3390/en13010070}, chapter = {70}, keywords = {entrepreneurial activity, industrial energy consumption, Bayesian model averaging, GEM, panel data}, journal = {Energies}, doi = {10.3390/en13010070}, volume = {13}, number = {1}, issn = {1996-1073}, title = {Examining the industrial energy consumption determinants: a panel Bayesian model averaging approach}, keyword = {entrepreneurial activity, industrial energy consumption, Bayesian model averaging, GEM, panel data}, chapternumber = {70} }
@article{article, author = {Borozan, \DJula and Borozan, Luka}, year = {2020}, pages = {17}, DOI = {10.3390/en13010070}, chapter = {70}, keywords = {entrepreneurial activity, industrial energy consumption, Bayesian model averaging, GEM, panel data}, journal = {Energies}, doi = {10.3390/en13010070}, volume = {13}, number = {1}, issn = {1996-1073}, title = {Examining the industrial energy consumption determinants: a panel Bayesian model averaging approach}, keyword = {entrepreneurial activity, industrial energy consumption, Bayesian model averaging, GEM, panel data}, chapternumber = {70} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font