Author:
Aliamutu Kansilembo,Mkhize Msizi
Abstract
Edible oil manufacturing companies in South Africa generate significant amounts of revenue, which they do not capitalize on. South Africa has no shortage of consumer demand for commodities. The edible oil sector is hampered by poor raw material output in the nation, insufficient financing by value-chain participants, and a shortage of specific effort and understanding in growing the value chain. The research aim was to evaluate the impact of value chain financing on profitability for South Africa's edible oil manufacturing companies via raw materials and working capital approaches. Utilizing secondary data collected from the financial statements of edible oil manufacturing companies from 2012 to 2022. Throughout the research, a positivism paradigm was applied using a descriptive retrospective panel data approach. Multiple regression analysis was used to determine the connection between the value chain financing variables (raw materials as well as working capital) and the profitability of edible oil manufacturing companies in South Africa. On financing in raw material there was a negative correlation among the two variables, but it is not statistically significant (r = -0.030, p =.424). On financing in working capital, there was a positive correlation (r =.201, p =.012), the connection between financing in creditors management and profitability in the edible oil company has a positive correlation (r =.162, p = 0.09) but is not statistically significant. The research found that raw material financing and working capital financing had no statistically significant connection to the profitability of edible oil manufacturing companies in South Africa.
Publisher
AMH International Conferences and Seminars Organizing LLC
Reference28 articles.
1. ABAH, E. O. (2020). Profit Efficiency of Soybean Marketing Chain in the North Central States of Nigeria. International Journal of Innovative Science and Research Technology, 5, 1360-1366.
2. ABUZAYED, B. (2012). Working capital management and firms’ performance in emerging markets: the case of Jordan. International Journal of Managerial Finance, 8, 155-179.
3. ACAR, M. F., ÖZER TORGALÖZ, A., ERYARSOY, E. & ZAIM, S. (2022). Did COVID-19 change the rules of the game for supply chain resilience? The effects of learning culture and supplier trust. International Journal of Physical Distribution & Logistics Management, 52, 491-511.
4. Ahn, J., Briers, G., Baker, M., Price, E., Sohoulande djebou, D. C., Strong, R., Piña, M. & Kibriya, S. (2022). Food security and agricultural challenges in West-African rural communities: A machine learning analysis. International Journal of Food Properties, 25, 827-844.
5. ALBAB, R. G. M. & AZIS, A. M. (2021). Supply chain analysis for household waste treatment product from coconuts. International Journal of Advances in Engineering and Management, 3, 1779-1788.