CULTIVABLE LAND IN INDIA: A TIME SERIES ANALYSIS
Journal: International Journal of Management (IJM) (Vol.11, No. 9)Publication Date: 2020-09-30
Authors : Bidyut Bikash Boruah Anupam Dutta;
Page : 1857-1863
Keywords : Cultivable Land; Autoregressive Integrated Moving Average (ARIMA); Autoregressive Function (ACF); Partial Autoregressive Function (PACF).;
Abstract
Population growth is the main challenge for the total Cultivable/Agricultural Land in India. The Box-Jenkins model is used in this study to forecast the total Cultivable/Agricultural Land in India. This study is based on the data of total cultivable land in India, covering from 2050-51 to 2017-18 of the Ministry of Agriculture and Farmers Welfare, Government of India. The diagnostic check reveals that ARIMA (2, 1, 0) is the best model for forecasting total Cultivable/Agricultural Land in India. To know the future demand of Cultivable/Agricultural Land forecasting is very important. In this paper, we forecasted the total Cultivable/Agricultural Land in India for the upcoming 10 years (up to 2028)
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