Influence of Green Distribution on Performance of Private Oil and Gas Marketing Firms in Kenya: Moderating Influence of Government Regulations

  • Evans I. Obiso School of Business and Economics, Kisii University, P.O. Box 408 – 40200, Kisii, Kenya
  • Densford Maendo School of Business and Economics, Kisii University, P.O. Box 408 – 40200, Kisii, Kenya
  • Enock Musau School of Business and Economics, Kisii University, P.O. Box 408 – 40200, Kisii, Kenya
  • James Waribu School of Business and Economics, Kisii University, P.O. Box 408 – 40200, Kisii, Kenya
Keywords: Green Distribution, Environmental Management, Private oil and gas marketing firms, Factor Analysis, Greenhouse gases, Firm performance.


Globally, the oil and gas industry account for the major environmental tragedies leading to creation of reliability issues from policy makers and trust concerns from the community. Kenya’s carbon dioxide and greenhouse gas emissions increased from 7.82 million tonnes to 16.15 million tonnes, recording the highest levels of carbon dioxide and greenhouse gases in the country in 2021. Kenya’s private oil and gas sector, churns out 60 million litres of waste oil annually but only 5% of the waste is handled and disposed of properly. The purpose     of this research was to establish the influence of green distribution on performance of private oil and   gas marketing firms in Kenya. Rationale of the study was to mitigate the adverse effects of private oil and gas activities on the environment through adoption of green distribution. The guiding theories included; the resource-based view and the natural resource-based view. The study was guided by the positivist philosophy. The research utilized a descriptive design. Target population was 1850 employees working for the 72 private oil and gas marketing firms in Kenya. The study used stratified random sampling that gave a representative sample. Primary information was gathered using a sample size of 470 employees, using self-constructed questionnaires which were dropped and collected after two weeks. A pilot test was conducted at National oil corporation of Kenya, using ten percent of the sample size. Validity was ensured by the experts’ review. Reliability of the tools was tested using Cronbach’s alpha value. An alpha value of 0.7 or above gave a suitable and satisfactory reliability. To test the strength of the relationship amongst variables, the Pearson’s product moment correlation was employed. Quantitative data was analyzed using both descriptive and inferential statistics. Simple linear regression analysis measured direct effects of variables. Hierarchical regression analysis tested the moderation effect of variables. Analyzed information was presented through statistical parameter estimates and tables. The study findings showed that green distribution had a positive and significant influence on firm performance (F=237.992, P<0.05). The results further showed a significant moderating effect of government regulation on the relationship between green distribution practices and firm performance. The study concluded that green distribution positively influenced performance of private oil and gas marketing firms in Kenya. The study recommended that private oil and gas marketing firms should adopt green distribution to improve their economic, environmental and social performance.


Abba, A., Norhayati, Z., Usman S., Saif., Ali, M., Rajeh, B. A. (2021) green distribution on performance of listed oil and gas firms in Nigeria: a moderating role of internet of thing: Gusau Journal of Accounting and Finance ISSN 2756-665X (Print) 2756-6897 (Online)

Al-Odeh, M. and Smallwood J. (2012). Sustainable Supply Chain Management: Literature Review, Trends, and Framework. International Journal of Computational Engineering & Management. 15. 2230-7893.

Babbie, E.R. (2013) Basics of Social Research. Thomson/Wadsworth, Belmont, CA.

Bartlett M. S. (1954). A further note on the multiplying factors for various chi-square approximations in factor analysis. Journal of the Royal Statistical Society, Series B, 16, 296-298.

Ceptureanu, E.G.; Ceptureanu, S.I.; Olaru, M.; Bogdan, V.L. (2018). An exploratory study on competitive behavior in oil and gas distribution. Energies 11, 1234.

Cheng, F. K. (2014). Utilizing Computer-Assisted Qualitative Data Analysis Software.

Clarke, Philip (2015). "Long Tradition of Green Production in Germany." Farmers Weekly. 4 October 2016.

Das, D. (2018). The impact of sustainable supply chain management practices on firm performance: Lessons from Indian organizations. Journal of cleaner production, 203, 179- 196.

De Grosbois D (2016) Corporate social responsibility reporting in the cruise tourism industry: a performance evaluation using a new institutional theory-based model. J Sustain Tour 24(2):245–269.

Esfahbodi, A., Zhang, Y., & Watson, G. (2016). Sustainable supply chain management in emerging economies: Trade-offs between environmental and cost performance. International Journal of Production Economics, 181, 350-366.

Gikonyo, K., Karanja, P., N & Nyang’au, S., P. (2021) Studied Green Distribution Systems and Performance of Building and Construction Manufacturing Firms in Keny. International Journal of Supply Chain and Logistics ISSN 2520-3983 (Online) Vol. 6, Issue No.3, pp 16 - 30, 2022

GoK (2020). Energy and Petroleum Regulatory Authority Report, 2019-2020- EPRA.

GoK (2019). National Environment Management Authority Report, 2018-2019- NEMA.

Golicic, S. L., & Smith, C. D. (2013). A meta‐analysis of environmentally sustainable supply chain management practices and firm performance. Journal of supply chain management, 49(2), 78-95.

Ghobakhloo, M., Tang, S. H., Zulkifli, N., & Ariffin, M. K. A. (2013). An integrated framework of green supply chain management implementation. International Journal of Innovation, Management and Technology, 4(1), 86.

Hair, J., Hult, G., Ringle, C., et al. (2017) A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd Edition, Sage Publications, Thousand Oaks.

Hamdy, O. M. M., Elsayed, K. K., & Elahmady, B. (2018). Impact of sustainable supply chain management practices on Egyptian companies’ performance. European Journal of Sustainable Development, 7(4), 119-130.

Hayes, A. F., & Montoya, A. K. (2017). A tutorial on testing, visualizing, and probing an interaction involving a multi-categorical variable in linear regression analysis. Communication Methods and Measures, 11(1), 1-30.

Hill, T. (2017). Manufacturing practice. The practice management of the manufacturing function. Macmillan International Higher Education

Hrebiniak C. &Joce, N. (2015). Strategic Alliances and Product Development in High Technology New Firms: The Moderating Effect of Technological Capabilities. Institute for Innovation Research, Technology Management, and Entrepreneurship Ludwig-Maximilians University at Munchen. Journal of International Marketing, 15, 41 –62

IEA (International Energy Agency), (2021). Climate Change. Retrieved 05 /07, 2021, from International Energy Agency.

IEA (International Energy Agency), (2022). Climate Change. Retrieved 05 /07, 2022, from International Energy Agency.

Kaiser H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31-36.

Kamol CO, Akunga DN, Warutere P (2019) Occurrence of Occupational Physical Injuries among Workers in Onshore Oil Drilling Operations in Turkana County, Kenya.

Kirat, M. (2015) ‘Corporate social responsibility in the oil and gas industry in Qatar perceptions and practices’, Public Relations Review. Elsevier Inc., 41(4), pp. 438–446.

Kirunga, F. & Kihara, A. (2018). Influence of green distribution practices on environmental performance of chemical manufacturing firms in Kenya. Journal of International Business, Innovation and Strategic Management, 1(7), 197 - 214

Knaub, J.R., Jr.(2017), “Quasi-Cutoff Sampling and the Classical Ratio Estimator: Application to Establishment Surveys for Official Statistics at the US Energy Information Administration,” JSM 2017- Survey Research Methods

Laari, S. (2016). Green supply chain management practices and firm performance: Evidence from Finland. University of Turku. ISBN: 978-951-29-6536-6.

Mojarad, A. S. Atashbari, V., & Tantau, A. (2018). Challenges for sustainable development practices in oil and gas industries. Proceedings of the 12th International Conference on Business Excellence, 626-638.

Mwaura A., Nicholas L., Gicuru, I. and Orwa B. (2016). Reverse Logistics Practices and Their Effect on Competitiveness of Food Manufacturing Firms in Kenya. International Journal of Economics, Finance and Management Sciences.

Nasiche, F., & Ngugi, G. K. (2014). Determinants of adoption of green procurement in the public sector: A case study of Kenya Pipeline Company. International Journal of Social Sciences and Entrepreneurship, 1(11), 351-372.

Ngugi, C. A., & Kihara, A. (2019). Influence of supply chain sustainability on Performance of companies in the oil industry in Kenya. International Journal of Supply Chain and Logistics, 3 (2),84

Namjoo, M.R., & Keramati, A. (2017) Analyzing Causal dependencies of composite service resilience in cloud manufacturing using resource-based theory and DEMATEL method International Journal of Computer Integrated Manufacturing, 31 (10) (2018), pp. 942-960, 10.1080/0951192X.2018.1493231

Panya, K. O., Ochiri, G., Achuora, J., & Gakure, R. W. (2021). Effects of green distribution on the organizational performance of sugar sub-sector in Kenya. The Strategic Journal of Business & Change Management, 8 (3), 939 – 952

Penrose, E. T. (1959). The theory of growth of the enterprise. London, UK: Basil Blackwell

Rutere Yusuf. (2020). “Effect of Green distribution on the Performance of Manufacturing Firms in Kenya." IOSR Journal of Business and Management (IOSR-JBM), 22(4), pp. 01- 07.

Saad S., Udin, Z.M. & Hasnan, N. (2021). Influence of green distribution practices on environmental performance in the hydrocarbon industry of Bahrain moderated by green innovation. Business Research, Kuala Lumpur, Malaysia,

Saad S., Udin, Z.M. & Hasnan, N. (2013). Dynamic supply chain management in oil and gas industry. in 3rd Asia-Pacific. Business Research Conference, Kuala Lumpur, Malaysia, 2013.

Sarkis, J., & Dou, Y. (2017). Green Supply Chain Management: A Concise Introduction. Milton: Taylor and Francis.

Small, L. B. (2017). Sustainability Practices That Influence Profitability in the Petroleum Industry. Walden Dissertations and Doctoral Studies.

Trivellas P., Malindretos, G. and Reklitis, P. (2020). Implications of Green Logistics Management on Sustainable Business and Supply Chain Performance: Evidence from a Survey in the Greek Agri-Food Sector. Journal of Sustainability 2020, 12, 10515.

Tseng, M.-L., Tan, R.R. and Siriban-Manalang, A.B. (2019), "Sustainable consumption and production for Asia: sustainability through green design and practice", Journal of Cleaner Production, 1-5.

Wanjohi, P., et al., (2016). The Moderating Effect of Adoption of Green Environment on the Relationship Between Organizational Characteristics and Performance of Manufacturing Firms in Kenya, (Doctoral dissertation) retrieved %20PhD%

Wernerfelt, B. (1984a). A resource-based view of the firm. Strategic Management Journal, 5(2), 171-180.

Yamane, T. (1967). Elementary sampling theory. London: John Wiley & Sons

Yang, C.S., Lu, C.S., Haider, J.J., & Marlow, P.B. (2013). The effect of green supply chain management on green performance and firm competitiveness in the context of container shipping in Taiwan.: Logistics and Transportation Review, 55, 55-73.

Zu’bi, M. F., Tarawneh, E., Abdallah, A. B., & Fidawi, M. A. (2015). Investigating supply chain integration effects on environmental performance in the Jordanian food industry. American Journal of Operations Research, 5(04), 247.
How to Cite
Obiso, E., Maendo, D., Musau, E., & Waribu, J. (2023, May 12). Influence of Green Distribution on Performance of Private Oil and Gas Marketing Firms in Kenya: Moderating Influence of Government Regulations. African Journal of Education,Science and Technology, 7(3), Pg 293-309.