AN EMPIRICAL INVESTIGATION OF HECTAREAGE PREDICTION MODELS OF IMPORTANT RABI CROPS OF GUJARAT STATE
KrishiKosh
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Title |
AN EMPIRICAL INVESTIGATION OF HECTAREAGE PREDICTION MODELS OF IMPORTANT RABI CROPS OF GUJARAT STATE
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Creator |
DUDHAT ASHOK SHAMJIBHAI
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Contributor |
Upadhyay S.M.
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Subject |
INVESTIGATION OF HECTAREAGE PREDICTION
Agricultural Statistics |
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Description |
The crop hectareage has many determinants. The present investigation on hectareage response of important rabi crops has been carried out using Nerlov’s model. The period wise growth rates and instability index and gentle attempt to identify the practical utility of ARIMA model in hectareage response for different regions of Gujarat State and Gujarat as a whole using secondary data of area, production, productivity and price from 1980-81 to 2007-08. Region wise and Gujarat as a whole, different single equation models and simultaneous equation models tried for selected rabi crops. The recommended models has been selected on the basis of adjusted coefficient of multiple determination. Price factors like lagged price and expected price played an important role in hectareage change for wheat crop in most of the regions, while, non-price factors like hectareage of competing crop and expected yield little influenced the hectareage of wheat crop. The negative and significant growth rate was found in period 1980-81 to 1989-90 for almost all the regions, while it was found positive and significant for almost all the regions in period 1990-91 to 1999-00 and 2000-01 to 2007-08. An ARIMA (0, 1, 1) was found the most representative model for the hectareage prediction for wheat. Price risk and return risk showed negative impact on gram hectareage in most of the regions of the state, which shows that the farmers of the state are risk averter. The negative and significant growth rate was found in period 1980-81 to 1989-90 for almost all the regions, while it was found positive and highly significant for almost all the regions in period 2000-01 to 2007- 08. An ARIMA (0, 1, 0) model was the most representative model for the prediction of hectareage of gram. The hectareage of competing crop influenced positively to mustard hectareage in all the regions except Saurashtra region. Lagged hectareage also influenced the current hectareage of mustard crop in most of the regions. The growth rate of area of mustard crop was found negative and significant in period 1990-91 to 1999-00 for almost all the regions and was found positive and significant in period 2000-01 to 2007-08 for almost all the regions. An ARIMA (0, 1, 0) model was found most representative model for the hectareage of mustard. Expected price, expected yield, lagged relative price and lagged gross return had influenced negatively to cumin hectareage in most of the regions and state as a whole. The cumin growers of Middle Gujarat are price risk taker, while, the cumin growers of the state as a whole are return risk averter. The negative and significant growth rate was found in period 1980-81 to 1989-90 for Saurashtra region and state as a whole. It was found positive and highly significant for almost all the regions in period 2000-01 to 2007-08. An ARIMA (0, 1, 1) model was appropriate for the prediction of hectareage of cu |
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Date |
2016-09-21T17:33:14Z
2016-09-21T17:33:14Z 2012-04 |
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Type |
Thesis
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Identifier |
http://krishikosh.egranth.ac.in/handle/1/78223
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Language |
en
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Format |
application/pdf
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