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the modelling and forecasting of cultivated land in khyber pakhtunkhwa using arimia models
Author(s):
1. Mukhtiar Ahmad: Department of Statistics University of Peshawar, Peshawar Pakistan
2. Farhad Ali: Institute of Numerical Sciences, Kohat University of Sicence and Technology Kohat Pakistan
3. Alamgir: Department of Statistics University of Peshawar, Peshawar Pakistan
Abstract:
Agriculture is one of the most important sectors, which significantly contribute to the socio-economic development of Pakistan. However, this sector is suffering due to lack of evidence-based policymaking and proper planning. This study tries to examine the relationship between the culturable waste and cultivated land in the KPK province and presents the forecast analysis - by using the Auto-Regressive Integrated Moving Average (ARIMA) models. The data set was obtained from the agriculture department of KPK. The estimation results show that the cultivated area and culturable waste forecasts for the year 2025 would be around 1.8621 and 1.39 million hectors respectively. Further, it was found that the cultivated area have a negligible increase, whereas the culturable waste have an upward trend in the near future. The key findings and implications of this study are quite significant to the concerned policymakers and government agencies for proper land management and improved crop production in the province.
Page(s): 171-181
DOI: DOI not available
Published: Journal: Science International, Volume: 33, Issue: 2, Year: 2021
Keywords:
Forecasting , ARIMA model , Culturable Waste , Cultivated Land
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