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Distribution and trends of pig production in China 2007-2017

Qingyou Zhao1*, Christoffer Axelsson1*, Jean Artois1, Timothy.p Robinson2 and Marius Gilbert1*
  • 1 Spatial Epidemiology Lab, Free University of Brussels, Belgium
  • 2 Food and Agriculture Organization of the United Nations (Italy), Italy

Driven by population growth and increasing incomes, the demand for animal-source foods in developing countries is growing rapidly. Among the different sources of animal food, pork is the most commonly consumed. China, as the largest country in the world by population, has a strong demand for pork. China experienced an increase of 26.6% in pork production between 2007 and 2017, up to 55 million Tons. Meanwhile, the pig production system in China went through a rapid intensification process from extensive backyard subsistence farming to intensified large-scale farming. The number of farms with a yearly production e over 10 000 heads increased by 150% between 2007 and 2016. Intensive pig production is frequently associated with localized pollution of land and water resources. Animals are particularly vulnerable to pathogens and environmental disturbance in intensive production systems. So, since 2015, the government developed environmental policy measures to direct pig production into grain production areas in North East China and further away from major population centres. The transition is targeted to increase production efficiency and environmental performance. Our work aims to study the geography of pig production in China as it is now and how it has evolved in the ten years. Data from China statistical yearbook indicate that Fujian province decreases 28.80%, Zhejiang province 47.79%; Meanwhile, Shandong province increases 14.44%, Heilongjiang province increases 17.8%, Xinjiang increase 149.74% between 2007 and 2017. Our ultimate goal is to be able to predict the changing landscapes of pig production, land use, agro-ecological characteristics and potential impacts in the future.

Acknowledgements

This project is supported by the FAO and China Scholarship Council (CSC).

References

Gilbert, M., Nicolas, G., Cinardi, G., Van Boeckel, T. P., Vanwambeke, S. O., Wint, G. W., & Robinson, T. P. (2018). Global distribution data for cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in 2010. Scientific data, 5, 180227. Bai, Z., Ma, W., Ma, L., Velthof, G.L., Wei, Z., Havlík, P., Oenema, O., Lee, M.R.F., Zhang, F. (2018). China’s livestock transition: Driving forces, impacts, and consequences. Science Advances, 4 (7). Liu Xiaoyong, Li Shutian. (2018). Temporal and spatial distribution of nutrient resource from livestock and poultry feces and its returning to cropland [J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),34(4):1-14. FAO. 2007. Gridded livestock of the world 2007, by G.R.W. Wint and T.P. Robinson. Rome, pp 131. National Bureau of statistics of China. China statistical yearbook [M]. Beijing: China Statistics Press, 2018. Ministry of agriculture and rural affairs of the people’s republic of China. China animal husbandry and veterinary yearbook [M]. Beijing: China Agriculture Press, 2008. Ministry of agriculture and rural affairs of the people’s republic of China. China animal husbandry and veterinary yearbook [M]. Beijing: China Agriculture Press, 2017.

Keywords: pig, distribution, Intensification, production, China

Conference: GeoVet 2019. Novel spatio-temporal approaches in the era of Big Data, Davis, United States, 8 Oct - 10 Oct, 2019.

Presentation Type: Student Poster-no session

Topic: Spatial data sources, open data, accessibility and information integration

Citation: Zhao Q, Axelsson C, Artois J, Robinson T and Gilbert M (2019). Distribution and trends of pig production in China 2007-2017. Front. Vet. Sci. Conference Abstract: GeoVet 2019. Novel spatio-temporal approaches in the era of Big Data. doi: 10.3389/conf.fvets.2019.05.00051

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Received: 07 Jun 2019; Published Online: 27 Sep 2019.

* Correspondence:
Mx. Qingyou Zhao, Spatial Epidemiology Lab, Free University of Brussels, Brussels, Brussels, B-1050, Belgium, qingyouzhao16@gmail.com
Mx. Christoffer Axelsson, Spatial Epidemiology Lab, Free University of Brussels, Brussels, Brussels, B-1050, Belgium, chrisaxelsson12@gmail.com
Mx. Marius Gilbert, Spatial Epidemiology Lab, Free University of Brussels, Brussels, Brussels, B-1050, Belgium, marius.gilbert@gmail.com