LAPSE:2023.21337
Published Article

LAPSE:2023.21337
Examining the Industrial Energy Consumption Determinants: A Panel Bayesian Model Averaging Approach
March 22, 2023
Abstract
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.
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.
Record ID
Keywords
Bayesian model averaging, entrepreneurial activity, GEM, industrial energy consumption, panel data
Subject
Suggested Citation
Borozan D, Borozan L. Examining the Industrial Energy Consumption Determinants: A Panel Bayesian Model Averaging Approach. (2023). LAPSE:2023.21337
Author Affiliations
Borozan D: Faculty of Economics in Osijek, Josip Juraj Strossmayer University of Osijek, Gajev trg 7, 31000 Osijek, Croatia [ORCID]
Borozan L: Department of Mathematics, Josip Juraj Strossmayer University of Osijek, Gajev trg 3, 31000 Osijek, Croatia
Borozan L: Department of Mathematics, Josip Juraj Strossmayer University of Osijek, Gajev trg 3, 31000 Osijek, Croatia
Journal Name
Energies
Volume
13
Issue
1
Article Number
E70
Year
2019
Publication Date
2019-12-21
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13010070, Publication Type: Journal Article
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LAPSE:2023.21337
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https://doi.org/10.3390/en13010070
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Mar 22, 2023
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