Original Research

Green supply chain management: An empirical study in enhancing green economic performance

Chriss Narick Mangoukou Ngouapegne, Elizabeth Chinomona, Welby Vandrys Loury Okoumba
Journal of Transport and Supply Chain Management | Vol 18 | a1087 | DOI: https://doi.org/10.4102/jtscm.v18i0.1087 | © 2024 Chriss Narick Mangoukou Ngouapegne, Elizabeth Chinomona, Welby Vandrys Loury Okoumba | This work is licensed under CC Attribution 4.0
Submitted: 29 August 2024 | Published: 20 December 2024

About the author(s)

Chriss Narick Mangoukou Ngouapegne, Department of Logistics and Supply Chain Management, Faculty of Management Sciences, Vaal University of Technology, Vanderbijlpark, South Africa
Elizabeth Chinomona, Department of Logistics and Supply Chain Management, Faculty of Management Sciences, Vaal University of Technology, Vanderbijlpark, South Africa
Welby Vandrys Loury Okoumba, Department of Business Management, Faculty of Economic and Management Sciences, University of the Free State, Bloemfontein, South Africa

Abstract

Background: South Africa has successfully enhanced its manufacturing sector by incorporating green technologies and fostering sustainable job opportunities, demonstrating the importance of material transformation in supplying necessities and promoting economic growth. The manufacturing sector’s rapid economic growth has led to environmental concerns, prompting a push for green supply chain management (GSCM). This study explores green purchasing (GP), manufacturing and distribution practices.

Objectives: By examining how GSCM techniques affect green economic performance (GEP) in Gauteng province’s industrial sector, the current study aims to close this gap. Green supply chain management techniques were examined in this study in the areas of green distribution (GD), manufacturing and purchasing.

Method: The study surveyed 450 manufacturing companies in Gauteng province using a quantitative approach. Data were analysed using Statistical Package for Social Science (version 28.0) and SMART PLS (version 3.0) (using confirmatory factor analysis and structural equation modelling path analysis) to test research hypotheses.

Results: The results of the study showed that in the manufacturing industry GSCM practices through GP, green manufacturing and GD greatly influence GEP. In addition, GD has the strongest effect on GEP compared to GP and GD.

Conclusion: To enhance GEP and safeguard the environment, the industrial sector must implement GSCM strategies.

Contribution: This study is significant for South African manufacturing companies because it offers opportunities for achieving GEP by adopting and comprehending GSCM practices. The findings will aid in the implementation of these practices in Gauteng province’s manufacturing firms.


Keywords

green purchasing; green manufacturing; green distribution; green economic performance; manufacturing industry

JEL Codes

L62: Automobiles • Other Transportation Equipment • Related Parts and Equipment; M11: Production Management; N67: Africa • Oceania

Sustainable Development Goal

Goal 8: Decent work and economic growth

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