Production system based global livestock sector modeling: Good news for the future
Livestock is recognized as one of the major drivers of current and future global change. This is caused on the production side, by the substantial resource requirements (land and water) per unit of output, and the related greenhouse gas emissions, and on the consumption side, by the growing demand due to population and economic growth. Our paper investigates whether productivity gains which enabled to the crop sector to satisfy the increased demand under decreasing real prices, and with little additional land, in the past decades, can be expected in the livestock sector in the future. To answer this question, we implement the recursively dynamic partial equilibrium bottom-up model of the global agriculture and forest sectors (GLOBIOM), expanded by a newly developed livestock module. The livestock module is based on the Sere and Steinfeld livestock production system classification, characterized by detailed input-output coefficients, including manure and greenhouse gas emissions. Our results show that if the production system composition is allowed to freely adapt to economic and resource constraints, the increases in per hectare productivity will allow satisfying the 2030 demand for ruminant products with less land than in 2000, and the livestock product prices will remain stable. This contrasts with the numbers obtained, when the ruminant production system structure is kept constant as in 2000, resulting among others in three times higher carbon prices. The adaptation in the livestock sector is hence a condition for sustainable future development, and it has to be taken into account when designing future policies.
|Date of creation:||2011|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.eaae.org|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Kiniry, James R. & Major, D. J. & Izarralde, R. C. & Williams, J. R. & Gassman, Philip W. & Morrison, M. & Bergentine, R. & Zentner, R. P., 1995. "Epic Model Parameters for Cereal, Oilseed, and Forage Crops in the Northern Great Plains Region," Staff General Research Papers Archive 894, Iowa State University, Department of Economics.
- Havlík, Petr & Schneider, Uwe A. & Schmid, Erwin & Böttcher, Hannes & Fritz, Steffen & Skalský, Rastislav & Aoki, Kentaro & Cara, Stéphane De & Kindermann, Georg & Kraxner, Florian & Leduc, Sylvain & , 2011. "Global land-use implications of first and second generation biofuel targets," Energy Policy, Elsevier, vol. 39(10), pages 5690-5702, October.
- Schneider, Uwe A. & Havlík, Petr & Schmid, Erwin & Valin, Hugo & Mosnier, Aline & Obersteiner, Michael & Böttcher, Hannes & Skalský, Rastislav & Balkovic, Juraj & Sauer, Timm & Fritz, Steffen, 2011. "Impacts of population growth, economic development, and technical change on global food production and consumption," Agricultural Systems, Elsevier, vol. 104(2), pages 204-215, February.
- Kruska, R. L. & Reid, R. S. & Thornton, P. K. & Henninger, N. & Kristjanson, P. M., 2003. "Mapping livestock-oriented agricultural production systems for the developing world," Agricultural Systems, Elsevier, vol. 77(1), pages 39-63, July.
- Schneider, Uwe A. & McCarl, Bruce A. & Schmid, Erwin, 2007. "Agricultural sector analysis on greenhouse gas mitigation in US agriculture and forestry," Agricultural Systems, Elsevier, vol. 94(2), pages 128-140, May.
- Bouwman, A.F. & Van der Hoek, K.W. & Eickhout, B. & Soenario, I., 2005. "Exploring changes in world ruminant production systems," Agricultural Systems, Elsevier, vol. 84(2), pages 121-153, May.
- Keyzer, M.A. & Merbis, M.D. & Pavel, I.F.P.W. & van Wesenbeeck, C.F.A., 2005. "Diet shifts towards meat and the effects on cereal use: can we feed the animals in 2030?," Ecological Economics, Elsevier, vol. 55(2), pages 187-202, November.
When requesting a correction, please mention this item's handle: RePEc:ags:eaae11:114552. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.