International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Issue 4, Part A

Spatial and temporal variations of tapioca


Author(s): Kumar C, Vijaya Bhama M, Selvaraj KN and Ravikumar R

Abstract:
This paper explains the spatial and temporal variations of tapioca, panel data of seven districts viz, Dharmapuri, Salem, Erode, Namakkal, Tiruchirappalli, Villupuram and Tiruvannamalai were used for the time period of 19 years from 2000-01 to 2018-19. It was found that, tapioca area as a dependent variable and nine independent variables like tapioca productivity, other fallow lands, cultivable waste, barren and uncultivable land, rainfall, cropping intensity, tapioca price, irrigation intensity and maize area used for the analysis. The results showed that the cultivation of tapioca area was low due to the price rate of tapioca and farmers choice for maize cultivation. The price rate of maize was high when compared to tapioca, therefore it played a vital role in farmers choice of maize cultivation over tapioca. OLS regression model and the spatial autoregressive model were used for the variables. Among this SAR model gives better results than the OLS regression model with minimum AIC and BIC values.


Pages: 36-39 | Views: 178 | Downloads: 18

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Kumar C, Vijaya Bhama M, Selvaraj KN, Ravikumar R. Spatial and temporal variations of tapioca. Int J Stat Appl Math 2023;8(4):36-39.

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