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Forecasting Milk Production and Per Capita Availability of Milk in India using ARIMA and VAR Models

Vol 10 , Issue 2 , July - December 2023 | Pages: 35-57 | Research Paper  

 
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https://doi.org/10.17492/jpi.pragati.v10i2.1022303


Author Details ( * ) denotes Corresponding author

1. * Archita Nayak, Faculty, Commerce, Kalipada Ghosh Tarai Mahavidyalaya, Siliguri, West Bengal, India (archita.nayak@gmail.com)
2. Kanti Paul, Faculty, Commerce, Kalipada Ghosh Tarai Mahavidyalaya, Siliguri, West Bengal, India (kantipaul@gmail.com)
3. Kanak Kanti Bagchi, Professor, Economics, University of North Bengal, Siliguri, West Bengal, India (kanakkantibagchi@gmail.com)

Milk production has a significant contribution to Indian economy. Milk production forecasting is a fundamental driver for the dairy sector. Dairy companies use their forecasts to establish pricing, contracts with farms and the production requirements for their factories. The study is based on secondary data on milk production and per capita availability of milk collected from National Dairy Development Board for the period 1979-80 to 2021-22. ARIMA(2,2,1) and ARIMA(0,2,1) models are found to be best suited models for forecasting milk production in India and per capita availability of milk in India respectively. Predicted values of milk production and per capita available in India have been provided for the period 2022-23 to 2031-32. Fitted ARIMAs are very strong in prediction since all actual and predicted values coincide. VAR (standard and Bayesian) models have been utilized for joint forecasting of milk production and per capita availability of milk in India.

Keywords

National Dairy Development Board; Dairy Industry; Crossbred Dairy Cattle; On-farm Management; Surplus Milk Supply

  1. Ahmed, F., Shah, H., Raza, I. & Saboor, A. (2011). Forecasting milk production in Pakistan. Pakistan Journal of Agricultural Research, 24(1-4), 82-85.
  2. Baaken, D. & Hess, S. (2021). Forecasting regional milk production quantity: A comparison of regression models and machine learning, 31st International Conference of Agricultural Economists, August 17-31, 2021, 24 pages.
  3. Box, G. E. P., Jenkins, G. M. & Reinsel, G. C. (1994). Time series analysis forecasting & control. Pearson Education: England.
  4. Delaney, E., Greenel, D., Shalloo, L., Lynch, M. & Keanel, M. T. (2022). Forecasting for sustainable dairy produce: Enhanced long-term, milk-supply forecasting using k-NN for data augmentation, with prefactual explanations for XAI, 15 pages. Retrieved from http://derekgreene.com/papers/delaney22iccbr.pdf
  5. Deshmukh, S. S. & Paramasivam, R. (2016). Forecasting of milk production in India with ARIMA and VAR time series models. Asian Journal of Dairy and Food Research, 35(1), 17-22.
  6. Gujarati, D. N. & Sangeetha (2011). Basic Econometrics. Tata McGraw Hill Education Private Limited: New Delhi.
  7. Maddala, G. S. (2005). Introduction to Econometrics. Wiley Student Edition: Singapore.
  8. Mari, G., Xavier, G. & Gupta, V. P. (2020). Forecasting of milk production in India by time series autoregressive moving average model. Shodh Sanchar Bulletin, 10(38 (V)), 170-180.
  9. National Dairy Development Board (n.d.). Milk production and per capita availability of milk in India. Retrieved from https://www.nddb.coop/information/stats/milkprodindia
  10. Nayak, A., Paul, K. & Bagchi, K. K. (2022). Production, consumption and marketing status of dairy development in India: An inter-state analysis. PRAGATI: Journal of Indian Economy, 9(2), 1-17.
  11. Paul, R. K., Alam., W. & Paul, A. K. (2014). Prospects of livestock and dairy production in India under time series framework. Indian Journal of Animal Sciences, 84(4), 462–466.
  12. Sankar, S. V., Ajaykumar, R., Ananthakrishnan, S., Aravinthkumar, A., Harishankar, K., Sakthiselvi, T. & Navinkumar, C. (2013). Modeling and forecasting of milk production in the Western Zone of Tamil Nadu. Asian Journal of Dairy and Food Research, 42(3), 427-432.
  13. Sankar, T. J. & Prabakaran, R. (2012). Forecasting milk production in Tamilnadu. International Multidisciplinary Research Journal, 2(1), 10-15.
  14. Sharma, R., Chaudhary, J. K., Kumar, S., Rewar, R. & Kumar, S. (2022). Forecasting of milk production of crossed dairy cattle by autoregressive integrated moving average (ARIMA) model. Indian Journal of Dairy Science, 75(4), 376-380.
  15. Subbanna, Y. B., Kumar, S. & Puttaraju, S. K. M. (2021). Forecating buffalo milk pin India: Time series approach. Buffalo Bulletin, 40(2), 335-343.
  16. Thakur, R. & Gupta, R. K. (2020). Prediction of milk yield using ARIMA. Journal of Entomology and Zoology Studies, 8(2), 1119-1123.
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