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Subject: Agricultural Economics × Author: Arya, Seema × End date: 2024 × Start date: 2020 × Type: Thesis ×
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    ThesisItemOpen Access
    Growth and instability in sugarcane production in Uttarakhand
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2020-10) Arya, Seema; Tripathi, A.K.
    Area and production in Uttarakhand and Kuamon region of Uttarakhand registered declining growth during the study period whereas in Gharwal region registered increasing growth. Productivity of sugarcane in all the regions of Uttarakhnd registered increasing growth. This study has three objectives – (i) to analyse the growth rates, (ii) to measure the magnitude of instability, and (iii) to examine the trend and estimate the future projections of area, production and productivity of Sugarcane in Uttarakhand and two regions of Uttarakhand viz. Kuamon and Gharwal. This study makes use of time series data for area, production and productivity of Sugarcane for the different regions referring to the period 2000-01 to 2017-18 available from secondary sources. For the attainment of growth rates of the study, exponential equation was used, coefficient of variation and Cuddy Della Valle Index were used to measure the magnitude of instability in area, production and productivity of Sugarcane, ten growth models viz, linear, logarithmic, inverse, quadratic, cubic, compound, power, S-curve, growth and exponential were used to measure the trend and estimate the future projection of area, production and productivity of Sugarcane. The study revealed that the area and production of Sugarcane in Uttarakhand and Kumaon region registered negative and significant growth rate whereas Garhwal region registered positive and non-significant growth rate. Productivity of Sugarcane registered positive and significant growth rate in all the regions of Uttarakhand. Uttarakahnd and its two regions showed highest instability in the production of Sugarcane. For Uttarakhand and Kuamon region exponential function was found best fit model to fit trend line and for future projection of Sugarcane area, production and productivity. For Gharwal region S- curve model was found best fit for the fitting of trend line and future projection of area and production whereas linear model was found best fit for productivity of Sugarcane.