Global Journal of Agricultural Research (GJAR)

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Modeling and Forecasting Of Beef, Mutton, Poultry Meat and Total Meat Production of Pakistan for Year 2020 by Using Time Series Arima Models

Abstract

We use historical time-series data reported in data table to review trends in beef , mutton, poultry meat and total meat production. In this regard, first we use data from 1971-72 to 2007-08 to estimate a time trend for beef , mutton, poultry meat and total meat production. This time trend is estimated by employing an exponential function of the form Yf = cebt, where Yf is for meat production and t depicts the year. The estimated parameters are highly statistically significant, while the overall explanatory power of the model is very high since R2 = 0.99. These results indicate that annual growth rate of meat production from 1971-72 to 2007-08 is 5% over per annum. In 2020 the projected annual growth of total production of meat will be in Pakistan , China, India and Developed world is 1.6,2.9,2.8 and 0.7 per year respectively. Similarly the total productions of meat in Pakistan in 2020 are estimated to be 4.7 million metric tons. where in 2020, China, India and develop world will be 86, 8 and 121 respectively. In 2020the per capita production is forecasted to be 25.2 kg/annum in Pakistan, 60 kg in China, 6 kg in India and 87 kg in Developing World. If we look at the production of the Beef , mutton, Poultry and meat in Pakistan , the annual growth production rate of beef is 0.6%, mutton is high and poultry meat is 1.2% so the total meat is 0.7% . The total production through 1993 for Beef, Poultry and Meat had been 35,27 and 100 million metric tons respectively and will be increased till 2020. it will be 38 million metric ton for beef, 38 million metric ton for mutton, 36 for poultry and 121 for meat. The per capita production of beef, poultry meat and meat had been 26, 21and 78 kg/annum respectively in 1993 and expected to be 28 kg ,26 kg and 87 kg for beef , poultry and meat respectively till 2020.

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.gjar@ea-journals.org
Impact Factor: 7.70
Print ISSN: 2053-5805
Online ISSN: 2053-5813
DOI: https://doi.org/10.37745/gjar.2013

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