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	Author	Milford, A.B.; Le Mouel, C.; Bodirsky, B.L.; Rolinski, S.
	Title	Drivers of meat consumption			Type	Journal Article
	Year	2019	Publication	Appetite	Abbreviated Journal	Appetite
	Volume	141	Issue		Pages	Unsp 104313
	Keywords	Meat consumption; Nutrition transition; Climate change mitigation; Cross-country analysis; nutrition transition; food; sustainability; globalization; countries; future; health; income; price
	Abstract	Increasing global levels of meat consumption are a threat to the environment and to human health. To identify measures that may change consumption patterns towards more plant-based foods, it is necessary to improve our understanding of the causes behind the demand for meat. In this paper we use data from 137 different countries to identify and assess factors that influence meat consumption at the national level using a cross-country multivariate regression analysis. We specify either total meat or ruminant meat as the dependent variable and we consider a broad range of potential drivers of meat consumption. The combination of explanatory variables we use is new for this type of analysis. In addition, we estimate the relative importance of the different drivers. We find that income per capita followed by rate of urbanisation are the two most important drivers of total meat consumption per capita. Income per capita and natural endowment factors are major drivers of ruminant meat consumption per capita. Other drivers are Western culture, Muslim religion, female labour participation, economic and social globalisation and meat prices. The main identified drivers of meat demand are difficult to influence through direct policy intervention. Thus, acting indirectly on consumers’ preferences and consumption habits (for instance through information, education policy and increased availability of ready-made plant based products) could be of key importance for mitigating the rise of meat consumption per capita all over the world.
	Address	2020-02-14
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	0195-6663	ISBN		Medium	Article
	Area		Expedition		Conference
	Notes	TradeM, ft_macsur			Approved	no
	Call Number	MA @ admin @			Serial	5224
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	Author	Popp, A.; Humpenöder, F.; Weindl, I.; Bodirsky, B.L.; Bonsch, M.; Lotze-Campen, H.; Müller, C.; Biewald, A.; Rolinski, S.; Stevanovic, M.; Dietrich, J.P.
	Title	Land-use protection for climate change mitigation			Type	Journal Article
	Year	2014	Publication	Nature Climate Change	Abbreviated Journal	Nat. Clim. Change
	Volume	4	Issue	12	Pages	1095-1098
	Keywords	avoided deforestation; forest conservation; carbon emissions; co2 emissions; productivity; scarcity; stocks; redd
	Abstract	Land-use change, mainly the conversion of tropical forests to agricultural land, is a massive source of carbon emissions and contributes substantially to global warming(1-3). Therefore, mechanisms that aim to reduce carbon emissions from deforestation are widely discussed, A central challenge is the avoidance of international carbon leakage if forest conservation is not implemented globally’’, Here, We show that forest conservation schemes, even if implemented globally, could lead to another type of carbon leakage by driving cropland expansion in non-forested areas that are not subject to forest conservation schemes (non-forest leakage). These areas have a smaller. but still considerable potential to store carbon(5,6). We show that a global forest policy could reduce carbon emissions by 77 Gt CO2, but would still allow for decreases in carbon stocks of non-forest land by 96 Gt CO2, until 2100 due to non-forest leakage effects. Furthermore; abandonment of agricultural hand and associated carbon uptake through vegetation regrowth is hampered. Effective mitigation measures thus require financing structures and conservation investments that cover the full range of carbon-rich ecosystems. However, our analysis indicates that greater agricultural productivity increases would be needed to compensate for such restrictions on agricultural expansion.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	1758-678x 1758-6798	ISBN		Medium	Article
	Area		Expedition		Conference
	Notes	CropM, LiveM, TradeM			Approved	no
	Call Number	MA @ admin @			Serial	4540
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	Author	Rolinski, S.; Heinke, J.; I., W.
	Title	Modelling the effects of grassland management on the carbon cycle			Type	Conference Article
	Year	2014	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords	LiveM
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference	European GeoSciences Union (EGU), General Assembly 2014, 2014-04-28 to 2014-05-02
	Notes				Approved	no
	Call Number	MA @ admin @			Serial	2753
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	Author	Rolinski, S.; Heinke, J.; Weindl, I.
	Title	Grazing effects on grassland productivity – Linking livestock production to grass yields			Type	Conference Article
	Year	2014	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords	LiveM
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference	Livestock, Climate Change and Food Security, Madrid, Spain, 2014-05-19 to 2014-05-20
	Notes				Approved	no
	Call Number	MA @ admin @			Serial	2752
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	Author	Rolinski, S.; Sætnan, E.
	Title	Uncertainties in climate change prediction and modelling			Type	Report
	Year	2013	Publication	FACCE MACSUR Reports	Abbreviated Journal
	Volume	1	Issue		Pages	D-L1.5
	Keywords
	Abstract	As models become increasingly complex and integrated, uncertainty among model parameters, variables and processes become critical for evaluating model outcomes and predictions. A framework for understanding uncertainty in climate modelling has been developed by the IPCC and EEA which provides a framework for discussion of uncertainty in models in general. Here we report on a review of this framework along with the results of a survey of sources of uncertainty in livestock and grassland models. Along with the identification of key sources of uncertainty in livestock and grassland modelling, the survey highlighted the need for a development of a common typology for uncertainty. When collaborating across traditionally separate research fields, or when communicating with stakeholders, differences in understanding, interpretation or emphasis can cause confusion. Further work in MACSUR should focus on improving model intercomparison methods to better understand model uncertainties, and improve availability of high quality datasets which can reduce model uncertainties. No Label
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	MA @ admin @			Serial	2259
Permanent link to this record