Greenhouse gas emission intensities and economic efficiency in crop production: A systems analysis of 95 farms
To increase food production while mitigating climate change, cropping systems in the future will need to reduce greenhouse gas emission per unit of production. We conducted an analysis of 95 arable farms in Norway to calculate farm scale emissions of greenhouse gases, expressed both as CO2 eq per unit area, and CO2 eq per kg DM produced and to describe relationships between the farms’ GHG intensities and their economic efficiencies (gross margin). The study included: (1) design of a farm scale model for net GHG emission from crop production systems; (2) establishing a consistent farm scale data set for the farms with required soil, weather, and farm operation data; (3) a stochastic simulation of the variation in the sources of GHG emission intensities, and sensitivity analysis of selected parameters and equations on GHG emission intensities; and (4) describing relationships between GHG emission intensities and gross margins on farms. Among small seed and grain crops the variation in GHG emissions per kg DM was highest in oilseed (emission intensity at the 75th percentile level was 1.9 times higher than at the 25th percentile). For barley, oats, spring wheat, and winter wheat, emissions per kg DM at the 75th percentile levels were between 1.4 and 1.6 times higher than those at the 25th percentiles. Similar trends were observed for emissions per unit land area. Invariably soil N2O emission was the largest source of GHG emissions, accounting for almost half of the emissions. The second largest source was the off farm manufacturing of inputs (∼25%). Except for the oilseed crop, in which soil carbon (C) change contributed least, the on farm emissions due to fuel use contributed least to the total GHG intensities (∼10%). The soil C change contributed most to the variability in GHG emission intensities among farms in all crops, and among the sensitivity elasticities the highest one was related to environmental impacts on soil C change. The high variation in GHG intensities evident in our study implies the potential for significant mitigation of GHG emissions. The GHG emissions per kg DM (intensity) decreased with increasing gross margin in grain and oilseed crops, suggesting that crop producers have economic incentives to reduce GHG emissions.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
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.:
- Charles Raux, 2010. "The potential for CO2 emissions trading in transport: the case of personal vehicles and freight," Post-Print halshs-00566195, HAL.
- Chen, Suyin & Zhang, Xiying & Sun, Hongyong & Ren, Tusheng & Wang, Yanmei, 2010. "Effects of winter wheat row spacing on evapotranpsiration, grain yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 97(8), pages 1126-1132, August.
- Anderson, Kym & Martin, William J., 2007.
"Distortions to Agricultural Incentives in Asia,"
Agricultural Distortions Working Paper
48557, World Bank.
- Richardson, James W. & Klose, Steven L. & Gray, Allan W., 2000.
"An Applied Procedure For Estimating And Simulating Multivariate Empirical (Mve) Probability Distributions In Farm-Level Risk Assessment And Policy Analysis,"
Journal of Agricultural and Applied Economics,
Southern Agricultural Economics Association, vol. 32(02), August.
- Richardson, James W. & Klose, Steven L. & Gray, Allan W., 2000. "An Applied Procedure for Estimating and Simulating Multivariate Empirical (MVE) Probability Distributions In Farm-Level Risk Assessment and Policy Analysis," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 32(02), pages 299-315, August.
- Beauchemin, Karen A. & Henry Janzen, H. & Little, Shannan M. & McAllister, Tim A. & McGinn, Sean M., 2010. "Life cycle assessment of greenhouse gas emissions from beef production in western Canada: A case study," Agricultural Systems, Elsevier, vol. 103(6), pages 371-379, July.
- Huang, Jikun & Rozelle, Scott & Martin, William J. & Liu, Yu, 2007. "Distortions to Agricultural Incentives in China," Agricultural Distortions Working Paper 48478, World Bank.
- Hardaker, J. Brian & Lien, Gudbrand D., 2005. "Towards some principles of good practice for decision analysis in agriculture," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137925, Australian Agricultural and Resource Economics Society.
- Martin, Philip L., 2007. "Immigration and Agriculture (PowerPoint)," Agricultural Outlook Forum 2007 8037, United States Department of Agriculture, Agricultural Outlook Forum.
When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:110:y:2012:i:c:p:142-151. 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: (Shamier, Wendy)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.