Forecasting Milled Rice Production in Ghana Using Box-Jenkins Approach

الموضوعات :

Nasiru Suleman ¹ , Solomon Sarpong ²

1 - Department of Statistics, Faculty of Mathematical Sciences, University for Development Studies, P. O. Box 24 Navrongo,Ghana, West Africa
2 - Department of Statistics, Faculty of Mathematical Sciences, University for Development Studies, P. O. Box 24 Navrongo,Ghana, West Africa

تاريخ الإرسال : 14 السبت , ذو القعدة, 1436 تاريخ التأكيد : 14 السبت , ذو القعدة, 1436 تاريخ الإصدار : 11 الجمعة , رجب, 1433

الکلمات المفتاحية: production, forecasting, Box- Jenkins, Milled Rice, Ghana,

ملخص المقالة :

The increasing demand for rice in Ghana has been a major concern to the government and other stakeholders. Recent concerns by the coalition for African Rice Development (CARD) to double rice production within ten years in Sub-Saharan countries have triggered the to implement strategies to boost rice production in the government. To fulfill this requirement, there is a need to monitor and forecast trends of rice production in the country. This study employs the Box-Jenkins approach to model milled rice production using time series data from 1960 to 2010. The analysis revealed that ARIMA (2, 1, 0) was the best model for forecasting milled rice production. Although, a ten years forecast with the model shows an increasing trend in production, the forecast value at 2015 (283.16 thousand metric tons) was not good enough to compare with the current production of Nigeria (2700 thousand metric tons), the leading producer of rice of rice in West Africa.

المصادر:

1- Anonymous. (2011) Retrieved from: www.index-mundi.com.

2- Anonymous. (2011) Retrieved from: www.allAfrica.com.

3- Badmus, M.A., & Ariyo, O.S. (2011). Forecasting Cultivated Areas and Production of Maize in NigeriaUsing ARIMA model. Asian Journal of AgriculturalSciences. 3(3): 171- 176.

4- Box, G. E. P., & Jenkins, G. M. (1976). Time Se-Ries Analysis, Forecasting and Control. San Francisco,Holden- Day, California, USA.

5- Dogbe, W. (1996). Characterization of the InlandValleys of Northern Ghana, Savanna AgriculturalResearch Institute (SARI). Unpublished

6- Falak, S., & Eatzaz, A. (2008). Forecasting WheatProduction in Pakistan. The Lahore Journal of Economics.3(1): 57-85.

7- Khush, G.S. (1997). Origin, Dispersal, Cultivationand Variation of Rice. Journal of Plant Molecular Biology. 35(1-2): 25-34. [DOI via Crossref]

8- Muhammad, F., Siddique, M., Bashir, M., &Ahamed, S. (1992). Forecasting Rice Production in Pakistan Using ARIMA models. Journal of Animaland Plant Sciences. 2: 27- 31.

9- Najeeb, I., Khuda, B., Asif, M., & Abid, S.A.(2005). Use of ARIMA Model for Forecasting Wheat Area and Production in Pakistan. Journal of Agricultural and Social Sciences. 1(2): 120- 122.

10- Rachana, W., Suvarna, M., & Sonal, G. (2010).Use of ARIMA Model for Forecasting Pigeon Pea Production in India. International Review of Businessand Finance. 2(1): 97-107.

11- FAO, (2011). Rice Imports Killing Local Growers.Retrieved from: www.ghananewsnow.com.

12- Seidu Al-hassan, (2008). Technical Efficiency ofRice Farmers in Northern Ghana. AERC Research Paper 178.

13- Shabur, S.A., & Haque, M.E. (1993). Analysisof Rice in Mymensing Town Market Pattern andForecasting. Bangladesh Journal of Agricultural and Economics. 16: 130-133.

14- Sohail, A., Sarwar, A., & Kamran, M. (1994). Forecasting Total Food Grains in Pakistan. Departmentof Mathematics and Statistics, University ofA griculture, Faisalbad. Journal of Engineering and Applied Sciences. 13: 140- 146.