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Prediction model on Chinese annual live hog supply and its application

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Abstract

In this paper, a prediction model on Chinese annual live hog supply was established. With cointegration test, backward and forward stochastic selection and other methods, four main factors (hog price, prices of inputs in hog production, the level of hog inventory, as well as emergency and government policy) were chosen from 16 relevant factors to establish the model and make improvement. Applied the improved model, annual live hog supply in China from 2013 to 2016 was predicted in three scenarios. The predicted results showed that if there were no major emergencies from 2013 to 2016, there would be an upward trend in Chinese live hog supply year by year. The supply of live hogs in China in 2013 would be about 707.663 million head, in 2014 would be between 715.935 and 742.969 million head, in 2015 between 734.458 and 779.413 million head, and in 2016 between 750.923 and 809.450 million head.

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References

  1. Maki W R, Forecasting livestock supplies and prices with an econometric model, Journal of Farm Economics, 1963, 45(3): 612–624.

    Article  Google Scholar 

  2. Harlow A A, Factors Affecting the Price and Supply of Hogs, US Department of Agriculture, Washington, 1962.

    Google Scholar 

  3. Leuthold R M, An analysis of daily fluctuations in the hog economy, American Journal of Agricultural Economics, 1969, 51(4): 849–865.

    Article  Google Scholar 

  4. Meilke K D, Zwart A C, and Martin L J, North American hog supply: A comparison of geometric and polynomial distributed lag models, Canadian Journal of Agricultural Economics/Revue Canadienne D’agroeconomie, 1974, 22(2): 5–30.

    Google Scholar 

  5. Dixon B L and Martin L J, Forecasting US pork production using a random coefficient model, American Journal of Agricultural Economics, 1982, 64(3): 530–538.

    Article  Google Scholar 

  6. Brandt J A and Bessler D A, Forecasting with vector autoregressions versus a univariate ARIMA process: An empirical example with US hog prices, North Central Journal of Agricultural Economics, 1984, 6(2): 29–36.

    Article  Google Scholar 

  7. Prescott D M and Stengos T, Bootstrapping confidence intervals: An application to forecasting the supply of pork, American Journal of Agricultural Economics, 1987, 69(2): 266–273.

    Article  Google Scholar 

  8. Kaylen M S, Vector autoregression forecasting models: Recent developments applied to the US hog market, American Journal of Agricultural Economics, 1988, 70(3): 701–712.

    Article  Google Scholar 

  9. Rezitis A N and Stavropoulos K S, Modeling pork supply response and price volatility: The case of Greece, Journal of Agricultural and Applied Economics, 2009, 41(1): 145–162.

    Google Scholar 

  10. Lu Y Q, Yang S H, and Zhang X Y, Market price forecasting of live hogs slaughtered in Henan Province using regression analysis, Academic Forum of Nan Du, 1998, 18(3): 33–34.

    Google Scholar 

  11. Xin X and Tan X Y, Determination of factors affecting price volatility of China’s live hogs and pork, Chinese Rural Economy, 1999, 15(5): 28–34.

    Google Scholar 

  12. Ma X B, Wang T, Dong X, and Wang C D, Price prediction of live hogs using vector autoregressive model, Chinese Journal of Animal Science, 2007, 43(23): 4–6.

    Google Scholar 

  13. Chen Z, Liang B S, Dang Y G, Zhao H S, and Han J L, Establishment and analysis of the forecast model of the production of live pig and pork in Henan, Journal of Henan Agricultural University, 2005, 39(4): 422–424, 429.

    Google Scholar 

  14. Yuan C B and Wu X M, Forecast and analysis of the production of live pig and pork on the basis of the GM(1, 1) in Sichuan, Science Technology and Industry, 2008, 8(4): 20–23.

    MathSciNet  Google Scholar 

  15. Liu X L, Chen X K, and Ding X J, Forecasting of China’s live hogs: Supply, demand and the gap between supply and demand, Statistics and Decision, 2008, 24(23): 109–111.

    Google Scholar 

  16. Johansen S, Statistical analysis of cointegration vectors, Journal of Economic Dynamics and Control, 1988, 12(2–3): 231–254.

    Article  MATH  MathSciNet  Google Scholar 

  17. Feng Y H, Chaos analysis of Chinese hog market with the analysis and forecast of future trend, Today Animal Husbandry and Veterinary Medicine, 2009, 26(9): 8–10.

    Google Scholar 

  18. Lewis D, Counterfactual dependence and time’s arrow, Noûs, 1979, 13(4): 455–476.

    Article  Google Scholar 

  19. Ayudhya S N N, Assavacheep P, and Thanawongnuwech R, One world-one health: The threat of emerging swine diseases, an Asian perspective, Transboundary and Emerging Diseases, 2012, 59(Suppl. 1): 9–17.

    Article  Google Scholar 

  20. Wan S R, Review of prevention and control of classical swine fever infections in 2009, Swine Production, 2010, 25(1): 33–36.

    Google Scholar 

  21. Gausemeier J, Fink A, and Schlake O, Scenario management: An approach to develop future potentials, Technological Forecasting and Social Change, 1998, 59(2): 111–130.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Economics and Management, Beihang University, Beijing, 100191, China

    Xiaozhen Liang

  2. Center For Forecasting Science, Key Laboratory of Management, Decision and Information Systems, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China

    Xiuli Liu

  3. Faculty of Science, Beijing University of Chemical Technology, Beijing, 100029, China

    Fengmei Yang

Authors
  1. Xiaozhen Liang
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  2. Xiuli Liu
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  3. Fengmei Yang
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Corresponding author

Correspondence to Xiuli Liu.

Additional information

This research was supported by the National Key Technology R&D Program under Grant No. 2009BADA 9BB01-4 and the National Natural Science Foundation of China under Grant Nos. 71173210 and 61273208.

This paper was recommended for publication by Editor YANG Cuihong.

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Liang, X., Liu, X. & Yang, F. Prediction model on Chinese annual live hog supply and its application. J Syst Sci Complex 28, 409–423 (2015). https://doi.org/10.1007/s11424-015-2275-5

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  • DOI: https://doi.org/10.1007/s11424-015-2275-5

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