Promoting Biofuels in India: Assessing Land Use Shifts Using Econometric Acreage Response Models
Acreage response function are modeled taking account of expected harvest prices, weather related variables and other non-price variables allowing for partial adjustment possibility. At the outset, based on the literature on price expectation formation, we explored suitable formulations for estimating the farmer’s expected prices. Assuming that farmers form expectations rationally, the prices of food and biofuel crops are modeled using time-series methods for possible ARCH/GARCH effects to account for volatility. The prices projected on the basis of the models are then inserted to proxy for the expected prices in the acreage response functions. Food crop acreages in different growing states are found sensitive to their prices relative to those of one or more of the biofuel crops considered. The required percentage improvement in food crop yields is worked to offset the acreage loss.
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 Planning Commission, “Press Note on Poverty Estimates,” 2011-12, Government of India, July 2013.
 P. Kumar, “Food Demand and Supply Projections for India,” Agricultural Economics Policy Paper, Indian Agricultural Research Institute, New Delhi, 1998, 98-101.
 P. Kumar, P. K. Joshi and P. S. Brithal, “Demand Projections for Foodgrains in India,” Agricultural Economics Research Review, Vol. 22 (2), 2009, 237-243.
 R. Chand, “Demand for foodgrains,” Economic and Political Weekly, December 2007, 10-13.
 S. Mittal, “Demand and Supply trends and Projections of Food in India,” Working Paper No. 209, ICRIER, New Delhi, 2008, p.20.
 T. Johnson, “Food Prices Volatility and Insecurity,” Food Security, Council on Foreign Relations, 2013.
 R. F. Engle, “Autoregressive conditional heteroskedasticity with estimates of the variance of UK inflation,” Econometrica, vol. 50, 1982, pp. 987–1008.
 T. Bollerslev, “Generalised autoregressive conditional heteroskedasticity,” Journal of Econometrics, vol. 31, 1986, pp. 307–327.
 G. R. Lawrence, R. Jagannathan, and D. E. Runkle, “On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks,” Federal Reserve Bank of Minneapolis Research Department Staff Report, 1993.
 J. M. Zakoian, "Threshold Heteroskedastic Models,” Manuscript, CREST, INSEE, Paris, 1990.
 R. Rabemananjara and J. M. Zakoian, “Threshold arch models and asymmetries in volatility,” Journal of Applied Econometrics, John Wiley & Sons, vol. 8, 1993, pp. 31-49.
 N. Ghosh, S. Chakravarty and M. Rajeshwor, “Effect of Trade Liberalisation on volatility: the experience of Indian agriculture,” International Journal on Economic Policy in Emerging Economies, vol.3, 2010, pp. 254-271.
 Nelson, D.B. (1991), “Conditional heteroskedasticity in asset returns: a new approach”, Econometrica, Vol. 59, pp.347–370.
 K. Patterson, “An Introduction to Applied Econometrics: A Time Series Approach,” Palgrave, 2000.
 J. Raj, and S. Dhal, “The Inflation Rate in India: Some Applied Issues,” Reserve Bank of India -Occasional Papers, vol. 29, No. 2, 2008.
 K. Anderson, “Trade Liberalization, Agriculture and Poverty in Low Income Countries in WTO, Developing Countries and the Doha Development Agenda (ed.),”,BasudebGuha-Khasnobis, Macmillan, 2004.
 K. Anderson, and W. Martin, “Agricultural Trade Reforms and the Doha Development Agenda,” World Bank, Washington, 2005.
 M. Nerlove, “The Dynamics of Supply: Estimation of farm Supply Response to prices,” John Hopkins University Press, Baltimore, Maryland, 1958.
 J. Muth, “Relation Expectations and the Theory of Price Movement,” Econometrica: 29, pp. 315-335, 1961.
 E. P. G. Box and G. M. Jenkins, “Time Series Analysis: Forecasting and Control,” Revised Edition, Oakland, CA: Holden-Day, 1976.
 R. F. Engle and C. W. J. Granger, “Cointergration and Error-Correction: Representation, Estimation and Testing,” Econometrica, vol. 55, pp. 251-276, 1987.
 S. Johansen, “Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models,” Econometrica, vol. 59, pp. 1551–1580, 1991.
 S. Johansen, “Likelihood-based Inference in Cointegrated Vector Autoregressive Models,” Oxford University Press, 1995.
 N. S. S. Narayana and K. S. Parikh, “Supply response and acreage allocation: A case of Indian agriculture,” International Institute for Applied Systems Analysis, RR81-1, 1981.
 N. Ghosh and C. Neogi, “Supply responses of foograins and Policy actions,” Indian Journal of Agricultural Economics, vol. 50, pp. 135-152, 1995.