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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 8.4

International Journal of Applied Research

Vol. 2, Issue 5, Part M (2016)

Identification of climatic effect on crop yield of Marathwada region by using multiple linear regression & stochastics frontier approach

Author(s)
Satyvan Yashwant, SL Sananse
Abstract
The aim of this study is estimate climatic effect on soybean crop yield and measures its crop production efficiency by using multiple linear regression and stochastic frontier model. In this study we have use 30 years (1980 to2010) data of soybean and ten climactic factor in Marathwada region. This region is situated between 170 -35 N and 200- 40 N latitude and 740 - 40 E and 780 – 15 E longitudes in Maharashtra state In this region consist of eight districts such as, Aurangabad, Beed, Hingoli, Jalna, Latur, Nanded, Osmanabad and Parbhani. The economy of this region depends upon agriculture sector. The last ten year this region is less rainfall affected region in Maharashtra. The result show that rainfall, area, dry spell max temp are positively effect on soybean crop production and min humidity, minimum temp, total could are negative effect on crop production of soybean. The fitted multiple linear regression model of parameter estimate by using least square regression method. result show that value of multiple R-square of Later and Hingoli district are 0.921 and 0.90 respectively this indicate that fitted model can explain more variability of repressors variable. The Cobb-Douglas stochastic frontier model is applied to Latur and Hingoli of soybean crop production for measure production efficiency. The result show that efficiency of Latur and Hingoli district are 0.86 and 0.84 respectively This result indicates that 86%and 84% of total composed error variance of the production function is explained by the variance of the technical inefficiency term. This result is importance to incorporate tech¬nical inefficiency in the production function.maximum like hooded method is used for estimation of parameter of stochastic frontier model. The value of gamma is used to testing the hypothesis to check stochastic noise and technical inefficiency. This result is helpful to framer and regional and local planer in Marathwada region.
Pages: 841-848  |  605 Views  14 Downloads
How to cite this article:
Satyvan Yashwant, SL Sananse. Identification of climatic effect on crop yield of Marathwada region by using multiple linear regression & stochastics frontier approach. Int J Appl Res 2016;2(5):841-848.
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