Skip to main content
Register
Springer Professional
SEARCH
Menu 1 2 3 4
Top

Hint

Swipe to navigate through the chapters of this book

Published in:
Introduction Read chapter Read first chapter

2022 | OriginalPaper | Chapter

11. Supply Response of Major Pulses

Author : Poornima Varma

Published in: Pulses for Food and Nutritional Security of India

Publisher: Springer Nature Singapore

Login to get access
share
SHARE

Abstract

The present chapter analyses the supply response of chickpea and pigeon pea, using dynamic panel data estimation technique. The analysis is undertaken based on a district-level panel data collected from four major pulses producing states of India from 2005 to 2015.
previous chapter Information and Utilisation of MSP: Major Determinants
next chapter Conclusion and Policy Implications
Appendix
Available only for authorised users
Footnotes
1
This chapter is drawn from an early version of the work presented at Agricultural and Applied Economic Conference held at Atlanta, Georgia from July 21–23, 2019. I would like to thank Jannet John and Anar Bhatt for some very preliminary contribution to the earlier version of the paper.
 
2
Apart from Sugarcane for which FRP is declared by the Department of Food &Public Distribution, twenty two crops covered under MSP are Paddy, Jowar, Bajra, Maize, Ragi, Arhar, Moong, Urad, Groundnut-in-shell, Soyabean, Sunflower, Seasamum, Nigerseed, Cotton, Wheat, Barley, Gram, Masur (lentil), Rapeseed/Mustardseed, Safflower, Jute and Copra.
 
3
Although two-step estimation of the GMM-SYS is asymptotically more efficient, its limitation is that the reported standard errors are too small, i.e. downward biased (Blundell &Bond, 1998; Windmeijer, 2005).
 
4
Chhattisgarh, Andhra Pradesh, Telangana, Madhya Pradesh, Maharashtra, Karnataka, Tamil Nadu, Gujarat, Punjab, Haryana, Uttar Pradesh, Assam, West Bengal, Jharkhand Bihar and Rajasthan for chickpea. Chhattisgarh, Andhra Pradesh, Telangana, Madhya Pradesh, Karnataka, Gujarat, Rajasthan, Uttar Pradesh, Assam, Jharkhand and Maharashtra for pigeon pea.
 
5
Market price support is calculated by taking the difference between applied administered price and fixed external reference price multiplied by the quantity eligible for support price. In India applied administered price refers to MSP and quantity eligible to receive the support price refers to the quantity procured at given MSP.
 
Literature
Abdulai, A., & Rieder, P. (1995). The impacts of agricultural price policy on cocoa supply in Ghana: An error correction estimation. Journal of African Economies, 4(3), 315–335. CrossRef
Akinbode, S. O., Dipeolu, A. O., & Ayinde, I. A. (2011). An examination of technical, allocative and economic efficiencies in Ofada rice farming in Ogun State, Nigeria. African Journal of Agricultural Research, 6(28), 6027–6035.
Arellano, M., & Bond, S. (1991). Some tests of speciSfication for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297. CrossRef
Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51. CrossRef
Beckman, J. F., & Wailes, E. J. (2005a). The supply reSsponse of US rice: how decoupled are income payments? (No. 378–2016–21359).
Beckman, J., & Wailes, E. J. (2005b, July). The supply response of US rice: How decoupled are income payments? In American agricultural economics association annual meeting (p. 3).
Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. CrossRef
Eliazer Nelson, A. R. L., Ravichandran, K., & Antony, U. (2019). The impact of the Green Revolution on indigenous crops of India. Journal of Ethnic Foods, 6(1), 1–10.
Haile, M. G., Brockhaus, J., & Kalkuhl, M. (2016). Short-term acreage forecasting and supply elasticities for staple food commodities in major producer countries. Agricultural and Food Economics, 4(1), 17. CrossRef
Heltberg, R., & Tarp, F. (2002). Agricultural supply response and poverty in Mozambique. Food Policy, 27(2), 103–124. CrossRef
Houck, J. P., & Ryan, M. E. (1972). Supply analysis for corn in the United States: The impact of changing government programs. American Journal of Agricultural Economics, 54(2), 184–191. CrossRef
John, A. T., Makkar, S., Swaminathan, S., Minocha, S., Webb, P., Kurpad, A. V., & Thomas, T. (2021). Factors influencing household pulse consumption in India: A multilevel model analysis. Global food security, 29, 100534.
Joshi, P. K., & Rao, P. P. (2017). Global pulses scenario: Status and outlook. Annals of the New York Academy of Sciences, 1392(1), 6–17. CrossRef
Lahiri, A. K., & Roy, P. (1985). Rainfall and supply-response: A study of rice in India. Journal of Development Economics, 18(2–3), 315–334. CrossRef
Lee, D. R., & Helmberger, P. G. (1985). Estimating supply response in the presence of farm programs. American Journal of Agricultural Economics, 67(2), 193–203. CrossRef
Manjunatha, A. V., & Kumar, P. (2015). Impact of national food security mission (NFSM) on input use, production, yield and income in Karnataka. Agricultural Development and Rural Transformation Centre Institute for Social and Economic Change Bangalore-560, 72.
Miao, R., Khanna, M., & Huang, H. (2016). Responsiveness of crop yield and acreage to prices and climate. American Journal of Agricultural Economics, 98(1), 191–211. CrossRef
Negi, A., & Roy, D. (2015). The cooling effect of pulse imports on price: The case of the pigeon pea in India. IFPRI Discussion Paper 01439.
Nerlove, M. (1956). Estimates of the elasticities of supply of selected agricultural commodities. Journal of Farm Economics, 38(2), 496–509. CrossRef
Pingali, P., Mittra, B., & Rahman, A. (2017). The bumpy road from food to nutrition security–Slow evolution of India's food policy. Global food security, 15, 77–84.
Ranjan Paltasingh, K., & Goyari, P. (2013). Supply response in rainfed agriculture of Odisha, Eastern India: A vector error correction approach. Agricultural Economics Review, 14(389–2016–23496), 89–104.
Shoko, R. R., Chaminuka, P., & Belete, A. (2016). Estimating the supply response of maize in South Africa: A Nerlovian partial adjustment model approach. Agrekon, 55(3), 237–253. CrossRef
Thomas, L., Sundaramoorthy, C., & Jha, G. K. (2013). The impact of national food security mission on pulse production scenario In India: AN empirical analysis. International Journal of Agricultural and Statistical Sciences, 9(1), 213–223.
Ullah, S., Akhtar, P., & Zaefarian, G. (2018). Dealing with endogeneity bias: The generalized method of moments (GMM) for panel data. Industrial Marketing Management, 71, 69–78. CrossRef
Vitale, J. D., Djourra, H., & Sidibé, A. (2009). Estimating the supply response of cotton and cereal crops in smallholder production systems: Recent evidence from Mali. Agricultural Economics, 40(5), 519–533. CrossRef
Wani, M. H., Sehar, H., Paul, R. K., Kuruvila, A., & Hussain, I. (2015). Supply response of horticultural crops: the case of apple and pear in Jammu & Kashmir. Agricultural Economics Research Review, 28(347–2016–17163), 83–89.
Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126(1), 25–51. CrossRef
Metadata
Title
Supply Response of Major Pulses
Author
Poornima Varma
Copyright Year
2022
Publisher
Springer Nature Singapore
Book
Pulses for Food and Nutritional Security of India

Print ISBN: 978-981-19-3184-0

Electronic ISBN: 978-981-19-3185-7

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-19-3185-7_11

Premium Partner

Pluta Rombach Rechtsanwälte
    Image Credits