Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/137514
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Type: Journal article
Title: Industrial energy efficiency and determinants in Vietnam: A stochastic frontier analysis using firm-level data
Author: Nguyen, L.T.
Ratnasiri, S.
Wagner, L.
Citation: Applied Economics, 2024; 56(14):1636-1651
Publisher: Taylor & Francis (Routledge)
Issue Date: 2024
ISSN: 0003-6846
1466-4283
Statement of
Responsibility: 
Luan Thanh Nguyen, Shyama Ratnasiri and Liam Wagner
Abstract: In this study, we employ the Shephard energy distance function to evaluate the impacts of three broad aspects (i) government involvement, (ii) firm’s managerial behaviour and (iii) technology adoption on energy (in)efficiency. Using a true fixed-effect model with a firm-level dataset of eight major industries in Vietnam from 2011 to 2016, the results suggest that these three aspects influence energy efficiency at varying degrees. The novel finding is that government involvement in business improves energy efficiency in less efficient industries. Furthermore, import activities negatively impact energy efficiency while the quality of labour increases efficiency. However, production expansion investment worsens the energy inefficiency situation.
Keywords: Productivity and efficiency analysis; industrial energy use; frontier analysis; Shephard energy distance function; energy efficiency
Description: Published online: 15 Feb 2023
Rights: © 2023 Taylor & Francis
DOI: 10.1080/00036846.2023.2177592
Grant ID: http://purl.org/au-research/grants/arc/DP160102570
Published version: https://www.tandfonline.com/doi/full/10.1080/00036846.2023.2177592
Appears in Collections:Global Food Studies publications

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