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Current IssueEditorial BoardOnline First Articles
Agricultural Science Digest
Print ISSN: 0253-150X
Online ISSN: 0976-0547
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5.52
SJR
0.176
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Chief Editor:
Arvind kumar
Rani Lakshmi Bai Central Agricultural Uni., Jhansi, U.P., INDIA
Frequency:Bi-monthly
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Research Article

Agricultural Science Digest, volume 39 issue 1 (march 2019) : 8-14

Price and non-price decision making factors of groundnut production in Karnataka: evidence from vector error correction model

S.M. Jainuddin, Seema, K. Suhasini
1Department of Agricultural Economics, University of Agricultural Sciences, Raichur-584 104, Karnataka, India.
Cite article:- Jainuddin S.M., Seema, Suhasini K. (2019). Price and non-price decision making factors of groundnut production in Karnataka: evidence from vector error correction model. Agricultural Science Digest. 39(1): 8-14. doi: 10.18805/ag.D-4835.

ABSTRACT

The study was conducted in Karnataka state with an objective to assess the decision making factors in land allocation sustainability of groundnut production. The results of the coefficients of area response of groundnut indicated that the total rainfall had exerted significant positive influence on current year’s area of groundnut in Mysore division and Karnataka. The coefficients of production response of groundnut indicated that the lagged production had exerted significant negative influence on current year’s production of groundnut in Bangalore, Gulbarga and Karnataka. The result showed that long run relationship existsed between dependent and independent variable in some divisions. The results indicated that the price inelasticity of supply in both short run as well as long run all the division except some. The study concluded that non-price determinants were more significant for decision making and complementary to price for land allocation in sustainable production of groundnut in the state.

REFERENCES

  1. Braulke, M. (1982). A note on the Nerlove model of agricultural supply response. International Economic Review. 23(1):241-244.
  2. Dickey, D. A and Fuller, W.A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association. 74:427-431.
  3. Granger, C. and Newbold, P. (1974) Spurious regression in economics. Journal of Econometrics, 2(1): 227-238.
  4. Government of India. (2014). Status paper on oilseeds, Department of Agriculture and Co-operation. Ministry of Agriculture and Farmers Welfare. pp. 1-2.
  5. Government of India. (2016). Agricultural Statistics at a Glance 2016, Department of Agriculture and Co-operation. Ministry of Agriculture and Farmers Welfare, New Delhi. Pp 118-119.
  6. Government of Karnataka. (2013). Estimates of principal crops in Karnataka for the year 2012-2013. Annual Report 2012-13. Directorate of Economics and Statistics. Bangalore.
  7. Government of Karnataka. (2016). Karnataka at a glance 2015-16. Directorate of Economics and Statistics. Bangalore. Pp 37-48.
  8. Hallam, D. and Zanoli, R. (1993). Error correction models and agricultural supply response. European Review of Agricultural Economics. 20:151-166.
  9. Haq, A.A.S.M. and Arshad, F. M. (2010). Supply response of potato in Bangladesh: A vector error correction approach. Journal of Applied Sciences. 1-8. ISSN 1812-5654.
  10. Ipe Viju and Prabhakaran T. (1988). Price response of a perennial crops: a case of Indian natural rubber. Indian Journal of Agricultural Economics. 43:624-630.
  11. Janaia, A. (1989). Growth and supply response of major commercial crops in Andhra Pradesh: An econometric analysis an unpublished M.Sc (Agri.) thesis. Andhra Pradesh Agricultural University. Hyderabad (India).
  12. Kanwar, S. and Sadoulet, E. (2008). Dynamic output response revisited: the Indian cash crops. The Developing Economies. 46(3):217–241.
  13. Maiadua, S.U., Suhasini K. and Seema. (2017). Sorghum output supply response to price and non price factors in Nigeria. Indian Journal Economics and Development. 13(3):434-441.
  14. Mckay, A., Morrisey, O. and Vaillant, C., (1999). Aggregate supply response in Tanzanian agriculture. Journal of International Trade Economics and Development. 8:107-123.
  15. Nadda, A. L. (1987). Supply response of perennial crops – a study of Himalayan Apple. Indian Journal of Agricultural Economics. 42: 446-455.
  16. Nerlove, M. (1979). The dynamics of supply:retrospect and prospects. American Journal of Agricultural Economics. 61(5):874-888.
  17. Nickel, S. (1995). Error corrections, partial adjustments and all that: An expository note. Oxford Bulletin of Economics and Statistics. 47(2):119-1129.
  18. Thiele, R. (2000). Estimating aggregate agricultural supply response: A survey of technique and results for developing countries. Keil working paper no.1016. Keil Institute of World Economics, Germany.
  19. Wani, M.H., Huma Sehara, Ranjit Kumar Paulb, Anil Kuruvilac and Hussaina, I. (2015). Supply response of horticultural crops: the case of apple and pear in Jammu & Kashmir. Agricultural Economics Research Review. 28 (1):83-89. 
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