Estimation of Supply Response of Potato Crop: Short run Dynamics and Long run Equilibrium with Error Correction Mechanisms


24

Authors

  • GANDHIMATHY BHARATHIYAR UNIVERSITY

https://doi.org/10.56093/ijas.v96i10.169581

Keywords:

Key words: Nerlovian Dynamic Model, Engel Granger Co-integration Analysis, Error Correction Term, Differential Co-efficient of Error Correction Term

Abstract

The present study explores the economic relationship between yield and price of potato crop in Tamil Nadu for a period two decades by using Nerlovian Dynamic Model and Engel Granger (EG) two step procedures. Nerlovian model is more comprehensive which includes price, non-price and exogenous factors like rainfalls. EG model takes two variables but results are more elegant. In this study, residual errors are used for model diagnostics to fulfill statistical and econometric criteria. The coefficient of error correction term shows the annul speed of the supply returns to equilibrium, after its deviation from the long run equilibrium. The results implies that 72.6 percent and 68.4 percent of price changes in time period t-1 are rectified in tth period annually, by the changes in supply in EG co-integration and Nerlovian analysis respectively. The study emphasized that the establishment of long run equilibrium relationship is having theoretical validity only and this economic equilibrium does not exist in real field due to the dynamic changes in price and supply.

Downloads

Download data is not yet available.

References

Askari H, and Cummings J. T. 1977. Estimating Agricultural Supply Response with Nerlove Model: A Survey. International Economic Review 18(2): 257-292.

Bailey K. W, and Womack A. W. 1985. Wheat acreage response: A Regional Econometrical Investigation. Journal of Agriculture and Applied Economics 17(2): 171-180.

Cancino Escalante G. O. Cancino S. E., & Cancino Ricketts D. F. 2022. A vector error correction model to estimate potato supply response in Colombia. Ciencia y Tecnología Agropecuaria, 23(2): e2518.https://doi.org/10.21930/rcta.vol23_num2_art:2518.

Chattopadhyay A. K.& Das P. S. 2000. Estimation of Growth Rate: A Critical Analysis with Reference to West Bengal Agriculture. Ind. Jn. of Agri. Econ 55(2): 116-134.

Dickey D, and Fuller, W. 1979. Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366): 427-431. https://doi.org/10.2307/2286348

Dlamini D. V. 2018. Supply Response of Potato to Price and Non-price factors in Swaziland. Archives of Business Research, 6(10): 78-85.

Engle R, and Granger C. 1987. Cointegration and error correction: representation, estimation and testing. Econometrica 2 (55): 251-276. https://doi.org/10.2307/1913236

Gandhimathy, B. 2025. Estimates of Acreage Response Towards Farm Prices in the North Western Zone of Tamil Nadu, Artha Vijnana, LXVII (I): 44-22. https://gipe.ac.in/publication/artha-vijnana/ ISSN: 0971-586X

Jai Krishna and Rao M. S. 1965. Price Support and Acreage response for wheat in Uttrapradesh, Indian journal of Agricultural Economics 20 (1): 1965:19-23.

Jongeneel R, and Gonzalez-Martinez A. R. 2020. Estimating crop yield supply response to be used for market outlook models: Application to Major developed and Developing countries, NJAS: Wageningen. Journal of Life Sciences 92(1): 1-13. https://doi.org/10.1016/j.njas.2020.100327.

Kittikorn Soontaranurak and P.J. Dawson 2015. Rubber acreage supply response in Thailand: a cointegration approach. Journal of Developing Areas, 49(2): 23-38.

Kumar P. 2017. Supply response Function in Indian Agriculture. Springer Singapore: Https://dooi,org/10.1007/978-981-10-60144-4-5.

Haile M, Kalkuhl M.G and Von Braun 2015. Worldwide acreage and yield response to international price change and volatility: a dynamic panel data analysis for wheat, Rice, corn and soybeans. Am. J. Agric. Econ, 98(1): 172-190.

Mythili G. 2008. Acreage and Yield Response for major crops in Pre and Post Reform Period in India, A Dynamic Panel Data Approaches. Indira Gandhi Institute of Development Research, Mumbai. Accessed on 22.2.2023.

Nerlove Marc. 1956. Estimates of the Elasticities of Supply of Selected agricultural commodities. Journal of Farm Economics, XXXVIII (2): 496-509.

Pekmeczci A., & Dilek, M. 2014. The comparison of performances of widely used cointegration tests. Simulation and Computation 46(5): 2070-2080. https://doi.org/10.1080/03610918.2014.889157

R.Keeney T, and Hertel W. 2008. Yield Response to Prices: Implications for Policy Modelling. Working Paper 08-13, Dept. Agricultural Economics, Purdue University.

Raj Krishna. 1963. Farm supply Response in India-Pakistan: A Case Study of the Punjab Region. Economic journal, LXXIII (291): 477-87.

Rao Mohan J. 1989. Agricultural Supply response A Survey, Agricultural Economics, 3(1):1-22.

Sananse S L, and S. K. Maidapwad. (2009). On Estimation of Growth rates using linear models, International Journal of Agricultural Stat. Sci, 5(2): 463-469.

Upendar M. 2008. Applied Econometrics, Vrinda Publications, Delhi.

Vikas, Veena Manocha. and Goyal S. K. 2018. Estimation of Acreage Response of Major crops in Haryana using co-integration Approach. International Journal of Current Micro Biology and Applied Science 7(3): 2890-2903.

Published

2026-10-05

How to Cite

GANDHIMATHY. (2026). Estimation of Supply Response of Potato Crop: Short run Dynamics and Long run Equilibrium with Error Correction Mechanisms. The Indian Journal of Agricultural Sciences, 96(10). https://doi.org/10.56093/ijas.v96i10.169581
Citation