Predicting the Performance of Vietnamese Sugar Mills: An Application of the Grey Verhulst Model
International School, Vietnam National University Hanoi, 100000, Vietnam
International School, Vietnam National University, Hanoi 100000, Vietnam
Huong Linh Le
International School, Vietnam National University Hanoi, 100000, Vietnam
International School, Vietnam National University Hanoi, 100000, Vietnam
DOI: https://doi.org/10.36956/rwae.v5i4.1301
Received: 5 September 2024 | Revised: 8 October 2024 | Accepted: 15 October 2024 | Published Online: 29 November 2024
Copyright © 2024 Nguyen-Nhu-Y Ho, Phuong Mai Nguyen, Huong Linh Le, Huu Khanh Nguyen. Published by Nan Yang Academy of Sciences Pte. Ltd.
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Abstract
The sugar industry plays a critical role in the Vietnamese economy, contributing to annual economic growth and job creation. However, the performance of Vietnamese sugar mills has been recognized to be under potential and seems to decline in recent years due to changes in the internal and external environments. Thus, it is necessary to evaluate and predict the performance of companies in this industry to find solutions for their long-run growth. In such a context, this paper aims to predict the performance of Vietnamese sugar mills so that they can improve their profitability for sustainable development in the future. We employed the Grey Verhulst model to analyze data from 16 Vietnamese sugar mills in the 2020–2023 period. The data collected include key financial indicators, such as total assets, cost of goods sold, selling and distribution costs, net profit, and inventory. Firstly, we proved that our proposed forecast model is applicable for the Vietnamese sugar industry with high percentage of reliability and accuracy. Then, using the model, we have predicted the performance of these firms for the period of 2024–2027. Our prediction shows that sugar mills grapple with familiar industry challenges as consumption declines. It is predicted that net profit criteria have the tendency to decline This slowdown places them under significant competitive pressure from foreign sugar producers. Thus, we suggest that sugar mills use our research results to formulate their strategic plan to mitigate the potential risks and position themselves in the market for their long-term profit and sustainable development in the future.
Keywords: Firm Performance; Grey Verhulst Model; Sugar Industry; Sugar Mills
References
[1] Vietnam Sugarcane and Sugar Association, 2023. Report on sugarcane output for the 2022/2023 crop year, production plan for the 2023–2024 crop year. 30 November 2023. p. 12.
[2] CustomsNews, 2024. Profits of Vietnamese sugar growers lower than Thailand and Indonesia. Available from: https://english.haiquanonline.com.vn/profits-of-vietnamese-sugarcane-growers-lower-than-thailand-and-indonesia-21352.html (cited 26 November 2023).
[3] Mboi, C.S., Muturi, W., Wanjare, J., 2018. Effect of short-term debt to total assets ratio on financial performance of medium-sized and large enterprises in Kenya. Research Journal of Finance and Accounting. 9(18), 40–49.
[4] Carnero, M.C., Martínez-Corral, A., Cárcel-Carrasco, J., 2023. Fuzzy multicriteria evaluation and trends of asset management performance: A case study of Spanish buildings. Case Studies in Construction Materials. 19, e02660.
[5] Liu, X., Liu, S., Guo, Z., et al., 2024. Towards a framework for reliable performance evaluation in defect prediction. Science of Computer Programming. 103164.
[6] Kamble, S.S., Gunasekaran, A., Ghadge, A., et al., 2020. A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs-A review and empirical investigation. International Journal of Production Economics. 229, 107853.
[7] Al Aina, R., Atan, T., 2020. The impact of implementing talent management practices on sustainable organizational performance. Sustainability. 12(20), 8372.
[8] Tseng, S.M., 2014. The impact of knowledge management capabilities and supplier relationship management on corporate performance. International Journal of Production Economics. 154, 39–47.
[9] Nguyen, H.K., 2020. Combining DEA and ARIMA models for partner selection in the supply chain of Vietnam’s construction industry. Mathematics. 8(6), 866.
[10] Wang, C.N., Pham, T.D.T., Nhieu, N.L., 2021. Multi-layer fuzzy sustainable decision approach for outsourcing manufacturer selection in apparel and textile supply chain. Axioms. 10(4), 262.
[11] Vilarinho, H., D’Inverno, G., Nóvoa, H., et al., 2023. The measurement of asset management performance of water companies. Socio-Economic Planning Sciences. 87, 101545.
[12] Christiana, I., Purnama, N.I., Ardila, I., 2020. Financial ratio in the analysis of earnings management. International Journal of Accounting & Finance in Asia Pasific. 3(1), 8–17.
[13] Staudt, F.H., Alpan, G., Di Mascolo, M., et al., 2015. Warehouse performance measurement: a literature review. International Journal of Production Research. 53(18), 5524–5544. DOI: https://doi.org/10.1080/00207543.2015.1030466
[14] Kunambi, M.M., Zheng, H., 2024. Contextual comparative analysis of Dar es Salaam and Mombasa port performance by using a hybrid DEA (CVA) model. Logistics. 8(1), 2.
[15] Maddah, N., Roghanian, E., 2023. Data-driven performance management of business units using process mining and DEA: case study of an Iranian chain store. International Journal of Productivity and Performance Management. 72(2), 550–575.
[16] Christiana, I., Purnama, N.I., Ardila, I., 2020. Financial ratio in the analysis of earnings management. International Journal of Accounting & Finance in Asia Pasific. 3(1), 8–17.
[17] Maddah, N., Roghanian, E., 2023. Data-driven performance management of business units using process mining and DEA: Case study of an Iranian chain store. International Journal of Productivity and Performance Management. 72(2), 550–575.
[18] Rodiger, T., Rodiger, I., Zeko, M., 2023. Data envelopment analysis of municipal services in Croatia. In Proceedings of 98th International Conference on Economic and Social Development; Porto, Portugal; 14–15 July 2023. pp. 218–228.
[19] Babai, M.Z., Ladhari, T., Lajili, I., 2014. On the inventory performance of multi-criteria classification methods: Empirical investigation. International Journal of Production Research. 53(1), 279–290. DOI: https://doi.org/10.1080/00207543.2014.952791
[20] Capkun, V., Hameri, A., Weiss, L.A., 2009. On the relationship between inventory and financial performance in manufacturing companies. International Journal of Operations & Production Management. 29(8), 789–806.
[21] Deng, J., 1982. System and control letter. Control Problems of Grey Systems. 1(5), 288–294.
[22] Tang, L., Lu, Y., 2020. Study of the grey Verhulst model based on the weighted least square method. Physica A: Statistical Mechanics and its Applications. 545, 123615.
[23] Evans, M., 2014. An alternative approach to estimating the parameters of a generalised Grey Verhulst model: An application to steel intensity of use in the UK. Expert Systems with Applications. 41(4), 1236–1244.
[24] Zeng, B., Ma, X., Zhou, M., 2020. A new-structure grey Verhulst model for China’s tight gas production forecasting. Applied Soft Computing. 96, 106600.
[25] Zeng, B., Zheng, T., Yang, Y., et al., 2023. A novel grey Verhulst model with four parameters and its application to forecast the carbon dioxide emissions in China. Science of The Total Environment. 899, 165648.
[26] Wang, Z.X., Li, Q., 2019. Modelling the nonlinear relationship between CO2 emissions and economic growth using a PSO algorithm-based grey Verhulst model. Journal of Cleaner Production. 207, 214–224.
[27] Wang, C.N., Yu, M.C., Ho, N.N.Y., et al., 2021. An integrated forecasting model for the coffee bean supply chain. Applied Economics. 53(28), 3321–3333.
[28] Zhao, Y.F., Shou, M.H., Wang, Z.X., 2020. Prediction of the number of patients infected with COVID-19 based on rolling grey Verhulst models. International journal of environmental research and public health. 17(12), 4582.
[29] Guo, Z., Song, X., Ye, J., 2005. A Verhulst model on time series error corrected for port throughput forecasting. Journal of the Eastern Asia society for Transportation studies. 6, 881–891.