Paper Title
Use of Statistical Techniques in Managing Cash Crop Production in Indian Economy
Article Identifiers
: Authors
Keywords
Area Sown, Growth Rate, Least Square Technique, Productivity, Production
Abstract
Agriculture plays a vital role in India’s economy. Agriculture, with its allied sectors, is the largest livelihood provider in India. The sugarcane and potato are the main cash crops and providing huge employment opportunities in rural and urban areas. Potato is the world’s fourth important crop. India ranks 2nd largest country in the world in production of potato after China. In the present paper, an attempt has been made to study the production trend and growth rate for Potato by using statistical techniques. It is observed that there is an increasing trend in cultivation area sown. The growth rate has been highest at the level of 6.43 % per annum during 1955-56 to 1965-66 and lowest 2.28% during 1995-96 to 2005-06. The production of potato has been constantly increased from the level of 1.78 thousands tones in 1955-56 to 46.68 thousands tones during 2015-16. The productivity level has shown positive growth rates per annum during all the periods except 1995-96 to 2005-06. The state-wise analysis for potato has also been carried out. A Least Square Model has been developed using data from 1995 to 2020. The projected cultivated area, production and yield for potato has been worked for 2025-26 and 2030-31. Authors have also suggested the strategies for enhancing the returns of the potato crop and its products through appropriate marketing strategy and trade liberalization.
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How To Cite (APA)
Dr. Anil Kumar & Dr. Prabha Rani (March-2022). Use of Statistical Techniques in Managing Cash Crop Production in Indian Economy. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(3), 239-243. https://ijnrd.org/papers/IJNRD2203025.pdf
Issue
Volume 7 Issue 3, March-2022
Pages : 239-243
Other Publication Details
Paper Reg. ID: IJNRD_180627
Published Paper Id: IJNRD2203025
Downloads: 000122255
Research Area: Mathematics
Author Type: Indian Author
Country: Ghaziabad, UTTAR PRADESH, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2203025.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2203025
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