ACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWA

This study analyzed 42 years’ time series data from 1970-2011 for the acreage response of sugarcane to price and non-price factors in Khyber Pakhtunkhwa. Data was tested for major expected problems of time series i.e. Autocorrelation and Stationarity. For autocorrelation Durban h statistics was u...

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Main Authors: Muhammad Saddiq, Muhammad Fayaz, Zahid Hussain, Muhammad Shahab, Irfan Ullah
Format: Article
Language:English
Published: International Journal of Food and Agricultural Economics 2014-07-01
Series:International Journal of Food and Agricultural Economics
Subjects:
Online Access:http://www.foodandagriculturejournal.com/vol2.no3.pp121.pdf
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author Muhammad Saddiq
Muhammad Fayaz
Zahid Hussain
Muhammad Shahab
Irfan Ullah
author_facet Muhammad Saddiq
Muhammad Fayaz
Zahid Hussain
Muhammad Shahab
Irfan Ullah
author_sort Muhammad Saddiq
collection DOAJ
description This study analyzed 42 years’ time series data from 1970-2011 for the acreage response of sugarcane to price and non-price factors in Khyber Pakhtunkhwa. Data was tested for major expected problems of time series i.e. Autocorrelation and Stationarity. For autocorrelation Durban h statistics was used and the value (0.539) indicates no serial Autocorrelation in the data set. While Augmented Dickey Fuller test was used for detection of Stationarity and the data was stationary at lag one. The study follows Nerlovian Partial Adjustment linear and non-linear models for acreage response. While Vector Auto Regression technique was used to estimate the effect of price and non-price factors on acreage allocation decisions of the farmers for sugarcane in the study area. The empirical results show that short run and long run elastisities are inelastic for all the variables and statistically significant at 5% significance level except average rainfall. Further, the influence of price, yield, and lag area are positive and significant in affecting acreage allocation decision. This means that if price, yield and lag area are enhanced, the acreage allocation of sugarcane might improve in-elastically. The relatively low values of coefficients obtained from the regression analysis indicates that sugarcane producers in making acreage allocation influenced more by their ideas of expected price than by previous year price. Similarly the magnitude of the linear and log coefficient of yield (0.676) and (0.208) suggesting that if rising trend in sugarcane yield persists it will help farmers’ expansion of sugarcane cultivation in future. Further, the relatively high value of the coefficients of lagged area (0.300) and (0.298) of sugarcane suggests that their area allocation adjust quickly for changes in expected profit. As the literature shows that mostly price is the main factors in shifting the area allocation of any crop while this paper shows that lag area was a main factor because the land of Khyber Pakhtukhwa is suitable for sugarcane production and mostly they produce Gurr from sugarcane which they used for self-consumption. . Improved technological innovations will boost the sugar-cane production. Hence, the Government should explore ways to make available the same to the farmers.
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spelling doaj.art-7b0dc64f9a3e4a92b38648de2cd772842023-02-15T16:07:30ZengInternational Journal of Food and Agricultural EconomicsInternational Journal of Food and Agricultural Economics2147-89882014-07-0123121128ACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWAMuhammad Saddiq0Muhammad Fayaz1Zahid Hussain2Muhammad Shahab3Irfan Ullah4The University of Agriculture, PakistanThe University of Agriculture, PakistanThe University of Agriculture, PakistanThe University of Agriculture, PakistanThe University of Agriculture, PakistanThis study analyzed 42 years’ time series data from 1970-2011 for the acreage response of sugarcane to price and non-price factors in Khyber Pakhtunkhwa. Data was tested for major expected problems of time series i.e. Autocorrelation and Stationarity. For autocorrelation Durban h statistics was used and the value (0.539) indicates no serial Autocorrelation in the data set. While Augmented Dickey Fuller test was used for detection of Stationarity and the data was stationary at lag one. The study follows Nerlovian Partial Adjustment linear and non-linear models for acreage response. While Vector Auto Regression technique was used to estimate the effect of price and non-price factors on acreage allocation decisions of the farmers for sugarcane in the study area. The empirical results show that short run and long run elastisities are inelastic for all the variables and statistically significant at 5% significance level except average rainfall. Further, the influence of price, yield, and lag area are positive and significant in affecting acreage allocation decision. This means that if price, yield and lag area are enhanced, the acreage allocation of sugarcane might improve in-elastically. The relatively low values of coefficients obtained from the regression analysis indicates that sugarcane producers in making acreage allocation influenced more by their ideas of expected price than by previous year price. Similarly the magnitude of the linear and log coefficient of yield (0.676) and (0.208) suggesting that if rising trend in sugarcane yield persists it will help farmers’ expansion of sugarcane cultivation in future. Further, the relatively high value of the coefficients of lagged area (0.300) and (0.298) of sugarcane suggests that their area allocation adjust quickly for changes in expected profit. As the literature shows that mostly price is the main factors in shifting the area allocation of any crop while this paper shows that lag area was a main factor because the land of Khyber Pakhtukhwa is suitable for sugarcane production and mostly they produce Gurr from sugarcane which they used for self-consumption. . Improved technological innovations will boost the sugar-cane production. Hence, the Government should explore ways to make available the same to the farmers.http://www.foodandagriculturejournal.com/vol2.no3.pp121.pdfAcreage responsePrice and non-price factorsSugarcaneKhyber Pakhtunkhwa
spellingShingle Muhammad Saddiq
Muhammad Fayaz
Zahid Hussain
Muhammad Shahab
Irfan Ullah
ACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWA
International Journal of Food and Agricultural Economics
Acreage response
Price and non-price factors
Sugarcane
Khyber Pakhtunkhwa
title ACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWA
title_full ACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWA
title_fullStr ACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWA
title_full_unstemmed ACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWA
title_short ACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWA
title_sort acreage response of sugarcane to price and non price factors in khyber pakhtunkhwa
topic Acreage response
Price and non-price factors
Sugarcane
Khyber Pakhtunkhwa
url http://www.foodandagriculturejournal.com/vol2.no3.pp121.pdf
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