Identifying the cycles in area, production, productivity and FHP of long staple cotton in Gujarat: A Fourier Analysis

Abstract

This study was undertaken to study the growth dimensions of long staple cotton in Gujarat. The necessary time series data on area, production productivity and FHP were compiled from various official published sources for the period from 1980-81 to 2015-16. The results of Fourier analysis carried out to find out the cyclical variations in area, production, productivity and farm harvest prices of long staple cotton showed that among the 8 years cycles, the K value of the 5 year cycles of long staple cotton productivity as well as 7 and 8 years cycles of farm harvest prices were found to be significant at 5 per cent level of significance which indicates that the 5, 7 and 8 years time series data should be used for obtaining reliable and accurate farm plans under different types of risk. As the results for area and production of long staple cotton were found to be non-significant, the cycles were rejected implying that they were not identified hence, it cannot form bases for any farm plan.

Authors and Affiliations

Daud Mohammad, et al.

Keywords

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  • EP ID EP501486
  • DOI -
  • Views 90
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How To Cite

Daud Mohammad, et al. (2018). Identifying the cycles in area, production, productivity and FHP of long staple cotton in Gujarat: A Fourier Analysis. International Journal of Agriculture Innovations and Research, 6(6), 359-363. https://europub.co.uk./articles/-A-501486