Records |
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Özkan, Ş.; Farquharson, R.J.; Hill, J.; Malcolm, B. |
Title |
A stochastic analysis of the impact of input parameters on profit of Australian pasture-based dairy farms under variable carbon price scenarios |
Type |
Journal Article |
Year |
2015 |
Publication |
Environmental Science & Policy |
Abbreviated Journal |
Environmental Science & Policy |
Volume |
48 |
Issue |
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Pages |
163-171 |
Keywords |
carbon tax; operating profit; stochastic dominance; dairy; feeding system; mitigation; cows; systems; efficiency; risk |
Abstract |
The imposition of a carbon tax in the economy will have indirect impacts on dairy farmers in Australia. Although there is a great deal of information available regarding mitigation strategies both in Australia and internationally, there seems to be a lack of research investigating the variable prices of carbon-based emissions on dairy farm operating profits in Australia. In this study, a stochastic analysis comparing the uncertainty in income in response to different prices on carbon-based emissions was conducted. The impact of variability in pasture consumption and variable prices of concentrates and hay on farm profitability was also investigated. The two different feeding systems examined were a ryegrass pasture-based system (RM) and a complementary forage-based system (CF). Imposing a carbon price ($20-$60) and not changing the systems reduced the farm operating profits by 28.4% and 25.6% in the RM and CF systems, respectively compared to a scenario where no carbon price was imposed. Different farming businesses will respond to variability in the rapidly changing operating environment such as fluctuations in pasture availability, price of purchased feeds and price of milk or carbon emissions differently. Further, in case there is a carbon price imposed for GHG emissions emanated from dairy farming systems, changing from pasture-based to more complex feeding systems incorporating home-grown double crops may reduce the reductions in farm operating profits. There is opportunity for future studies to focus on the impacts of different mitigation strategies and policy applications on farm operating profits. (C) 2015 Elsevier Ltd. All rights reserved. |
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English |
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1462-9011 |
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LiveM |
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MA @ admin @ |
Serial |
4574 |
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Özkan, S.; Bonesmo, H.S.; Harstad, O.M. |
Title |
Greenhouse gas emissions and mitigation potential of Norwegian dairy sector |
Type |
Conference Article |
Year |
2014 |
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Conference |
Scaling in global, regional and farm models, 2014-09-24 to 2014-09-24 |
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MA @ admin @ |
Serial |
2693 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Özkan, Ṣ.; Bonesmo, H.; Østerås, O.; Harstad, O.M. |
Title |
Effect of Increased Somatic Cell Count and Replacement Rate on Greenhouse Gas Emissions in Norwegian Dairy Herds |
Type |
Conference Article |
Year |
2014 |
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Abstract |
Dairy sector contributes around 4% of global greenhouse gas (GHG) emissions, of which 2/3 and 1/3 are attributed to milk and meat production, respectively. The main GHGs released from dairy farms are methane, nitrous oxide and carbon dioxide. The increased trend in emissions has stimulated research evaluating alternative mitigation options. Much of the work to date has focused on animal breeding, dietary factors and rumen manipulation. There have been little studies assessing the impact of secondary factors such as animal health on emissions at farm level. Production losses associated with udder health are significant. Somatic cell count (SCC) is an indicator on udder health. In Norway, around 45, 60 and 70% of cows in a dairy herd at first, second and third lactation are expected to have SCC of 50,000 cells/ml and above. Another indirect factor is replacement rate. Increasing the replacement rate due to health disorders, infertility and reduced milk yield is likely to increase the total farm emissions if the milking heifer replacements are kept in the herd. In this study, the impact of elevated SCC (200,000 cells/ml and above) and replacement rate on farm GHG emissions was evaluated. HolosNor, a farm scale model adapting IPCC methodology was used to estimate net farm GHG emissions. Preliminary results indicate an increasing trend in emissions (per kg milk and meat) as the SCC increases. Results suggest that animal health should be considered as an indirect mitigation strategy; however, further studies are required to enable comparisons of different farming systems. |
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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
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MA @ admin @ |
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5075 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Özkan, S.; Ahmadi, B.V.; Bonesmo, H.S.; Østerås, O.; Stott, A.; Harstad, O.M. |
Title |
Impact of animal health on greenhouse gas emissions in Norwegian dairying |
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Conference Article |
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2014 |
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International Livestock Modelling and Research Colloquium, Bilbao, Spain, 2014-10-14 to 2014-10-16 |
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MA @ admin @ |
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2694 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Özkan, S.; Ahmadi, B.V.; Bonesmo, H.S.; Østerås, O.; Stott, A.; Harstad, O.M. |
Title |
Environmental impacts and economics of high somatic cell count in Norwegian dairy herds |
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Conference Article |
Year |
2014 |
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NJF seminar 476: Economics of Animal Health and Welfare, 2014-10-02 to 2014-10-03 |
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MA @ admin @ |
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2692 |
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