Effect of Corporate Social Responsibility Practice on Sustainable Development: Evidence from Leather Factories in Lume District, Oromia, Ethiopia
DOI:
https://doi.org/10.20372/star.V15.i2.10Keywords:
Corporate social responsibility, social responsibility, Sustainable DevelopmentAbstract
This study aims to investigate the effects of corporate social responsibility (CSR) practices on sustainable development (SD) in the leather factories operating in Oromia, Lume district. To address the aims of the research, a cross-sectional quantitative method was used. Data were gathered from 256 samples with 91% response rate. Data were analyzed using descriptive, correlation, and ordinal logistic regression analyses using SPSS version 16 and Jamovi version 2.6.44. Data analysis shows that leather factories are playing their economic and discretionary responsibilities, but low emphasis was given to legal and ethical responsibility practices. Correlation analysis reveals that economic, legal, ethical, and discretionary responsibility practices are significantly and positively associated with SD. Besides, the effects of CSR practices on SD were examined. The result revealed that economic, legal, ethical, and discretionary responsibility practices have a significant and positive effect on sustainable development (β=1.41, 1.24, 1.10, 0.635, and p-value <0.001), respectively. Further, it is found that CSR practices explains 18% variations in sustainable development. Thus, the researchers suggest that the government and other concerned bodies have to play their part to engage Lume leather factories in CSR practices through creating awareness, engaging stakeholders, and law enforcement to ensure SD.
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Abdelhalim, K., & Eldin, A. G. (2019). Can CSR help achieve sustainable development? Applying a new assessment model to CSR cases from Egypt. International Journal of Sociology and Social Policy, 39(9–10), 773–795.
https://doi.org/10.1108/IJSSP-06-2019-0120
Ahmed, S. K. (2024). How to choose a sampling technique and determine sample size for research: A simplified guide for researchers. Oral Oncology Reports, 12, 100662. https://doi.org/10.1016/j.oor.2024.100662
Ali, F., & Ali, F. (2026). Sample size practices and guidelines in services marketing survey research. The Service Industries Journal, 2069, 1–26. https://doi.org/10.1080/02642069.2026.2612706
Althubaiti, A. (2023). Sample size determination: A practical guide for health researchers. Journal of general and family medicine, 24(2), 72-78.
https://doi.org/10.1002/jgf2.600
Bacinello, E., Tontini, G., & Alberton, A. (2021). Influence of corporate social responsibility on sustainable practices of small and medium-sized enterprises: Implications on business performance. Corporate Social Responsibility and Environmental Management, 28(2), 776–785.
https://doi.org/10.1002/csr.2087
Bergmann, J., Krewer, C., Müller, F., & Jahn, K. (2021). The scale for retropulsion: Internal consistency, reliability, and construct validity. Annals of Physical and Rehabilitation Medicine, 65(2), 101537.
https://doi.org/10.1016/j.rehab.2021.101537
Dash, G., & Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, 121092. https://doi.org/10.1016/j.techfore.2021.121092
Dejenie, T., & Kakiso, T. (2023). Heliyon Development and Environmental Policies of Ethiopia : Policy review from the viewpoint of development-environment sustainability linkage. Heliyon, 9(6), e16608.
https://doi.org/10.1016/j.heliyon.2023.e16608
Emon, М. М. Х., & Khan, Т. (2025). Corporate Social Responsibility for Sustainable Development: A Systematic Review of Business Contributions to Address Global Challenges. Review of Business and Economics Studies, 13(2), 6–39.
https://doi.org/10.26794/2308-944X
Fobbe, L., & Hilletofth, P. (2021). The role of stakeholder interaction in sustainable business models. A systematic literature review. Journal of Cleaner Production, 327, 129510.
https://doi.org/10.1016/j.jclepro.2021.129510
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research, 29(3), 430–447.
https://doi.org/10.1108/intr-12-2017-0515
Gilad, S. (2019). Mixing qualitative and quantitative methods in pursuit of richer answers to Real-World questions. Public Performance & Management Review, 44(5), 1075–1099. https://doi.org/10.1080/15309576.2019.1694546
Goretzko, D., Siemund, K., & Sterner, P. (2024). Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis. Educational and Psychological Measurement, 84(1), 123–144. https://doi.org/10.1177/00131644231163813
Goto, M., & Sueyoshi, T. (2020). Sustainable development and corporate social responsibility in Japanese manufacturing companies. Sustainable Development, 28(4), 844–856.
https://doi.org/10.1002/sd.2035
Greening, N. (2019). Phenomenological Research methodology. Scientific Research Journal, 7(5), 88-92.
https://doi.org/10.31364/scirj/v7.i5.2019.p0519656
Kalnins, A. (2018). Multicollinearity: How common factors cause Type 1 errors in multivariate regression. Strategic Management Journal, 39(8), 2362–2385.
https://doi.org/10.1002/smj.2783
Klarin, T. (2018). The Concept of Sustainable Development: From Its Beginning to the Contemporary Issues. Zagreb International Review of Economics and Business, 21(1), 67–94.
https://doi.org/10.2478/zireb-2018-0005
Indu, P. V., Vidhukumar, K., Chacko, D., Menon, V., Grover, S., & Gupta, S. (2025). Criterion validity, construct validity, and factor analysis: An introductory overview. Indian Journal of Psychiatry, 67(9), 916-921.
https://doi.org/10.4103/indianjpsychiatry_911_25
Lancsar, E., Fiebig, D. G., & Risa, A. (2017). Discrete Choice Experiments : A Guide to Model Specification, Estimation and Software. Pharmaco Economics, 35(7), 697–716.
https://doi.org/10.1007/s40273-017-0506-4
Levine, G. (1981). Ten - THE t DISTRIBUTION. In Elsevier eBooks (pp. 198–228).
https://doi.org/10.1016/b978-0-12-445480-4.50013-3
Lim, W. M. (2026). A typology of validity : content , face , convergent , discriminant , nomological, and predictive validity. 12(3), 155–179.
https://doi.org/10.1108/JTS-03-2024-0016
Mamo, Y. A., Sisay, A. M., Dessalegn, B., & Angaw, K. W. (2023). The Socio-economic Effect of Corporate Social Responsibility on Local Community Development in Southern Ethiopia. Cogent Business & Management, 10(1), 1-22.
https://doi.org/10.1080/23311975.2022.2159749
Mishra, L. (2021). Corporate social responsibility and sustainable development goals: A study of Indian companies. Journal of Public Affairs, 21(1), e2147.
https://doi.org/10.1002/pa.2147
Osagie, M., & John, D. O. (2020). Modeling Hypertension and Risk Factors among Adults Using an Ordinal Logistic Regression Model. 1–23.
https://doi.org/10.20944/preprints202001.0291.v1
Papageorgiou, S. N. (2022). On correlation coefficients and their interpretation. Journal of Orthodontics, 49(3), 359–361.
https://doi.org/10.1177/14653125221076142
Roemer, E., Schuberth, F., & Henseler, J. (2021). HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling. Industrial Management & Data Systems, 121(12), 2637–2650.
https://doi.org/10.1108/imds-02-2021-0082
Ruggerio, C. A. (2021). Sustainability and sustainable development: A review of principles and definitions. Science of the Total Environment, 786, 147481.
https://doi.org/10.1016/j.scitotenv.2021.147481
Syiem, B. V., & Velloso, E. (2026).Better Assumptions, Stronger Conclusions: The Case for Ordinal Regression in HCI. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (pp. 1-21).
https://doi.org/10.1145/3772318.3790821
Ye, N., Kueh, T. B., Hou, L., Liu, Y., & Yu, H. (2020). A bibliometric analysis of corporate social responsibility in sustainable development. Journal of Cleaner Production, 272, 122679.
https://doi.org/10.1016/j.jclepro.2020.122679
Zewdie, A., Nigusie, A., Wolde, M., Mazengia, E. M., Belaineh Haimanot, A., Habtie, A., & Kassa, A. (2022). Determinants of COVID‐19 Related Perception among University of Gondar Academic Staff, Gondar, Ethiopia, 2021: A Structural Equation Modeling Approach. Advances in Public Health, 2022(1), 8346593.
https://doi.org/10.1155/2022/8346593
Zhu, G., Shou, Y., & Smithson, M. (2025). An investigation of the convergent validity and test–retest reliability of three uncertainty preference measures. Behavior Research Methods, 57(8), 1–19.
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