Abstract

Computing the growth of any entity over a time period is important for understanding the past behaviour and for future planning. ‘Compound growth rate’ is one of the frequently used methods for calculating the growth rate models. Among the statistical study was carried out on different growth models viz., linear, quadratic, cubic, exponential, compound, logarithmic, inverse, power, growth and S-curve models to project the area, production and productivity cotton crop in India for 1951 to 2013. The study revealed that through all models exhibited significant; the cubic model is the best fitted, for its highest adjusted R2 on increasing future projection trends with respect to area, production and productivity of cotton in India.

Highlights

  • Cotton is an important cash crop and India cultivates the highest acreage in the world

  • World cotton production is estimated at 118.95 million bales of 480 lb in 2012-13 (USDA, February, 2013) which is 4% less than the previous year 2011-12 and cotton area to the tune of 4.62%

  • Significant drop in the production level in Brazil about 43% due to 40% reduction in area under cotton compared to previous year

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Summary

Introduction

Cotton is an important cash crop and India cultivates the highest acreage in the world. It provides the basic raw material (cotton fibre) to the cotton textile industry. World cotton production is estimated at 118.95 million bales of 480 lb in 2012-13 (USDA, February, 2013) which is 4% less than the previous year 2011-12 and cotton area to the tune of 4.62%. Significant drop in the production level in Brazil about 43% due to 40% reduction in area under cotton compared to previous year. China is going to be the largest importer around 14 million bales of Cotton this year and share of 34% of the world total cotton imports. The major cotton growing states in India are Punjab, Haryana, Rajasthan, Madhya Pradesh, Gujarat, Maharashtra, Andhra Pradesh, Tamil Nadu and Karnataka

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