Rice Production Prediction in India by Multiple Regression Model

Authors

  • Dr. Suman Devi Assistant Professor of Commerce, M.P. College for Women, Mandi Dabwali

Keywords:

Production, Minimum Support Price, Cultivation, Multiple Regression line

Abstract

India is world second largest populated country. Day by day growing population makes pressure on feedstock. Majority of Indian population survives depends directly or indirectly on agricultural segment. India’s agrarian sector is well known for its diversity. The enhanced earnings from cultivation would possible due to transformation in technology, usage of fertilizers & pesticides etc. Rice is symbol of honour in food in Asia and the subcontinent, therefore, the insignificant harvest of the rice crop in not only an economic loss but can also made a famine-like condition. The present research find out the influence of MSP and Area utilized for cultivation of rice in India on production and its yield. MSP and area utilized for cultivation are independent factors whereas production and yield depends on both. Window 2007 Microsoft Excel is used to calculated regression analysis in the study. The study found that minimum support price has found lessor impact on rice crop production while area under cultivated land has significant.

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Published

2023-05-27

How to Cite

Dr. Suman Devi. (2023). Rice Production Prediction in India by Multiple Regression Model. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 12(1), 280–285. Retrieved from https://eduzonejournal.com/index.php/eiprmj/article/view/356