Original Article

Supply-Demand Gap Analysis and Projection for Major Pulses in India

Year: 2018 | Month: March | Volume 63 | Issue 1

References (21)

1.Byerlee, D. and White, R. 1997. Agricultural systems intensification and diversification through food, legumes, technological and policy option. Invited paper presented at III rd international food, legumes, research conference, Adelaide, Australia, 22-26.

View at Google Scholar

2.Directorate of pulses development, Pulses in India retrospect and prospects 2016. Government of India Ministry of agriculture.

View at Google Scholar

3.Chand, Ramesh, 2000. Trade liberalisation, agricultural prices and net social welfare in India. Keynote Paper in Third Asian Conference of Agricultural Economics, 18-20.

View at Google Scholar

4.Farjam, A., Omid, M., Akram, A. and Fazel, Niari, Z. 2014. A Neural Network Based Modeling and Sensitivity Analysis of Energy Inputs for Predicting Seed and Grain Corn Yields J. Agr. Sci. Tech., 16: 767-778

View at Google Scholar

5.George, P. S. 1980, The changing pattern of consumer demand for food grains in India. Indian Journal of Agricultural Economics, 35(1):53-68.

View at Google Scholar

6.Jadhav, V., Chinappa Reddy, B.V. and Gaddi, G.M. 2017. Application of ARIMA Model for Forecasting Agricultural Prices. J. Agr. Sci. Tech., 19: 981-992.

View at Google Scholar

7.Joshi, P.K. and Saxena, Raka, 2002. A profile of pulses production in India, Facts, trends and opportunities. Indian Journal of Agricultural Economics, 57(3): 326-339.

View at Google Scholar

8.Joshi, P. K. Asokan, M., Datta, K. K. and Kumar, P., 2000. Socioeconomic constraints to legumes production in rice-wheat cropping systems of India.

View at Google Scholar

9.Kumar Praduman, P.K. Joshi and Pratap, S. Birthal 2009. Demand projection for food grains in India, Agriculture Economic Research Review, 22(2): 237-243.

View at Google Scholar

10.Kumar Praduman 1998. Food Demand and Supply Projection for India, Agricultural Economics policy paper -98-01. Indian Agricultural Research Institute, New Delhi

View at Google Scholar

11.Mittal, S., 2006. Structural Shift in Demand for Food: Projections for 2020, working paper No.184, ICRIER, New Delhi.

View at Google Scholar

12.Mittal, Surabhi 2008. Demand and supply trends and projection of food in India, working paper No 209, ICRIEP, New Delhi

View at Google Scholar

13.Narayan, P. and Kumar S. 2015. Constraints of growth in area production and productivity of pulses in India: An analytical approach to major pulses. Indian J Agric Res., 49(2):114–124.

View at Google Scholar

14.Pande, S.P. and Joshi, P.K. 1995. Constraints and Prospects of Legumes in Northern India and the Tarai Region of Nepal. ICRISAT, Patancheru, Hyderabad.

View at Google Scholar

15.Reddy, A.A. 2004. Consumption pattern, trade and production potential of pulses, Economic and Political Weekly, 39(44): 4854-4860

View at Google Scholar

16.Rosegrant, Mark W., Agcaolli-sombilla,M. and Perez, N.D. 1995. Global Food Projections to 2010: implication for investment.2010. discussion paper No.5. International food policy research institute, Washington, D.C.

View at Google Scholar

17.Safa. M., Samarasinghe, S. and Nejat, M. 2015. Prediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand. J. Agr. Sci. Tech., 17: 791-803

View at Google Scholar

18.Singh, R.P. 2013. Status paper on Pulses. Government of India, Ministry of Agriculture, Directorate of Pulses Development

View at Google Scholar

19.Soltani. A., Bakker M.M., Veldkamp A. and Stoorvogel, J.J. 2016. Comparison of Three Modelling Approaches to Simulate Regional Crop Yield: A Case Study of Winter Wheat Yield in Western Germany. J. Agr. Sci. Tech., 18: 191-206

View at Google Scholar

20.Srivastava, S.K., Sivaramane, N. and Mathur, V.C. 2010. Diagnosis of Pulses Performance of India. Agricultural Economics Research Review Vol. 23 January-June 2010, pp. 137-148.

View at Google Scholar

21.Yildirim, I., Ozsahin, S. and Okan, O.T. 2014. Prediction of Non-Wood Forest Products Trade Using Artificial Neural Networks. J. Agr. Sci. Tech., 16: 1493-1504.

View at Google Scholar

Economic Affairs, Quarterly Journal of Economics| In Association with AESSRA

26807969 - Visitors since February 20, 2019