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Fig. 1. By-production representation with two sub-technologies, one for the good output (Ty) and one for the bad output (Tb). From: Greenhouse gas emissions.

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Presentation on theme: "Fig. 1. By-production representation with two sub-technologies, one for the good output (Ty) and one for the bad output (Tb). From: Greenhouse gas emissions."— Presentation transcript:

1 Fig. 1. By-production representation with two sub-technologies, one for the good output (Ty) and one for the bad output (Tb). From: Greenhouse gas emissions and efficiency in French sheep meat farming: A non-parametric framework of pollution-adjusted technologies Eur Rev Agric Econ. 2016;44(1): doi: /erae/jbw013 Eur Rev Agric Econ | © Oxford University Press and Foundation for the European Review of Agricultural Economics 2016; all rights reserved. For permissions, please

2 Fig. 3. Evolution of yearly averages of pollution adjusted efficiency and its components.
From: Greenhouse gas emissions and efficiency in French sheep meat farming: A non-parametric framework of pollution-adjusted technologies Eur Rev Agric Econ. 2016;44(1): doi: /erae/jbw013 Eur Rev Agric Econ | © Oxford University Press and Foundation for the European Review of Agricultural Economics 2016; all rights reserved. For permissions, please

3 Fig. 4. Evolution of yearly averages of good and bad outputs efficiency.
From: Greenhouse gas emissions and efficiency in French sheep meat farming: A non-parametric framework of pollution-adjusted technologies Eur Rev Agric Econ. 2016;44(1): doi: /erae/jbw013 Eur Rev Agric Econ | © Oxford University Press and Foundation for the European Review of Agricultural Economics 2016; all rights reserved. For permissions, please

4 Fig. 2. Distributions of bad and good outputs efficiency and pollution-adjusted efficiency (1987–2013). From: Greenhouse gas emissions and efficiency in French sheep meat farming: A non-parametric framework of pollution-adjusted technologies Eur Rev Agric Econ. 2016;44(1): doi: /erae/jbw013 Eur Rev Agric Econ | © Oxford University Press and Foundation for the European Review of Agricultural Economics 2016; all rights reserved. For permissions, please

5 Fig. A1. Evolution of yearly averages of polluting inputs.
From: Greenhouse gas emissions and efficiency in French sheep meat farming: A non-parametric framework of pollution-adjusted technologies Eur Rev Agric Econ. 2016;44(1): doi: /erae/jbw013 Eur Rev Agric Econ | © Oxford University Press and Foundation for the European Review of Agricultural Economics 2016; all rights reserved. For permissions, please

6 Fig. A2. Evolution of yearly averages of efficiency of each GHG under assumption A4E in equation (4). From: Greenhouse gas emissions and efficiency in French sheep meat farming: A non-parametric framework of pollution-adjusted technologies Eur Rev Agric Econ. 2016;44(1): doi: /erae/jbw013 Eur Rev Agric Econ | © Oxford University Press and Foundation for the European Review of Agricultural Economics 2016; all rights reserved. For permissions, please

7 Fig. 5. Evolution of yearly averages of shadow price minimums and maximums for each GHG and all GHG taken together. From: Greenhouse gas emissions and efficiency in French sheep meat farming: A non-parametric framework of pollution-adjusted technologies Eur Rev Agric Econ. 2016;44(1): doi: /erae/jbw013 Eur Rev Agric Econ | © Oxford University Press and Foundation for the European Review of Agricultural Economics 2016; all rights reserved. For permissions, please

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