Economics and management of enterprises

Investigating the parameters which influence green supply chain management in agricultural industry

Economic Annals-XXI

Economic Annals-XXI: Volume 206, Issue (11-12), Pages: 30-35

Citation information:
Susilowati, D., Lambe, K. H. P., Farid, M., Jumintono, & Dampa, D. (2023). Investigating the parameters which influence green supply chain management in agricultural industry. Economic Annals-XXI, 206(11-12), 30-35. doi: https://doi.org/10.21003/ea.V206-05

EA-XXI-V206-05Download PDF

Dwi Susilowati
MA (Agriculture),
Department of Agribusiness,
Faculty of Agriculture,
Universitas Islam Malang
Jl. Mayjen Haryono 193, East Java, Malang, 65144, Indonesia
dwi_s@Unisma.ac.id
ORCID ID: https://orcid.org/0000-0002-4025-692X

Kristian Hoegh Pride Lambe
PhD (Management),
Paulus Christian of Indonesia University
Jl. Perintis Kemerdekaan No.Km.13, Daya, Kec. Tamalanrea, Kota Makassar,  Sulawesi Selatan, 90245, Indonesia
kristian_lambe@ukipaulus.ac.id
ORCID ID: https://orcid.org/0009-0002-5616-4867

Mohtazul Farid
MA (Sociology),
Universitas Trunojoyo Madura
Jl. Raya Telang, Perumahan Telang Inda, Telang, Kec. Kamal, Kabupaten Bangkalan, Jawa Timur, 69162, Indonesia
mohtazul.farid@trunojoyo.ac.id
ORCID ID: https://orcid.org/0000-0002-5148-5832

Jumintono
PhD (Education),
University Sarjanawiyata Tamansiswa
Jl. Batikan, UH-III Jl. Tuntungan No.1043, Tahunan, Kec. Umbulharjo, Kota Yogyakarta, Daerah Istimewa Yogyakarta, 55167, Indonesia
masmintosragen@gmail.com
ORCID ID: https://orcid.org/0000-0002-7591-649X

Djuliati Dampa
MA (Agriculture),
Department of Socioeconomics of Agriculture,
Faculty of Agriculture,
Papua University
Jl. Gn. Salju, Amban, Kec. Manokwari Barat, Kabupaten Manokwari, Papua Barat, 98314, Indonesia
d.dampa@unipa.ac.id
ORCID ID: https://orcid.org/0009-0004-3527-3647

Investigating the parameters which influence green supply chain management in agricultural industry

Abstract. The main objective of the current research is to identify and prioritize factors affecting the efficacy of green supply chain management (GSCM) in the agricultural sector in Indonesia. For this purpose, three factors of production, purchase and green transportation were considered in the green supply chain. This research is applied in terms of purpose and descriptive-quantitative in terms of data type. To collect information, both library and field methods were used, and in this way, the statistical population in this study is 415 employees of the green food manufacturing companies in Indonesia, such as: BOHAN Food , Asian Agri, Ardena Food and others, who were selected by Cochrane sampling method, and to measure information from a standard 19-item questionnaire in the period of 2022-2023. A five-point Likert scale was used. To analyze the data, partial least squares method and Smart-PLS software were employed. In order to fit the reliability, Cronbach’s alpha was used and its coefficient is more than 0.7 for all research constructs.

The results indicated that the performance evaluation of GSCM in the agricultural industry is significantly related to green purchasing, production, and transportation, whilst the green production is the most affecting variable. Based on the results of this research, it can be suggested to the agricultural and food companies of the studied area that, If the green supply chain is employed instead of the traditional one, the environmental performance will be maintained and the financial performance of their businesses will be improved concurrently.

Keywords: GSCM; Green Purchasing; Green Transportation; Green Production; Agricultural Industry; Green Food Manufacturing; Performance

JEL Classifications: Е24; Е41; Е64; I18; J28; J31

Acknowledgements and Funding: The authors received no direct funding for this research.

Contribution: The authors contributed equally to this work.

Data Availability Statement: The dataset is available from the authors upon request.

DOI: https://doi.org/10.21003/ea.V206-05

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Received 25.09.2023
Received in revised form 17.10.2023
Accepted 23.10.2023
Available online 29.12.2023

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