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동의어 포함
Title page
Contents
Acknowledgement 3
Executive summary 6
1. Introduction and analytical framework 7
2. An analysis of farms' resilience capacities to drought in Australia 10
2.1. The data 11
2.2. Static analysis: Preparedness of Australian farms 11
2.3. Dynamic analysis of resilience of Australian farms after drought: Absorption, adaptation, and transformation 15
2.4. Crop sector level resilience in Australia after the 2003 drought 22
2.5. A composite indicator of all resilience capacities for Australian crop farms 27
3. An analysis of farms' resilience capacities after a bluetongue outbreak in France 31
3.1. The data and the method 32
3.2. Results and insights 33
4. An analysis of farms' resilience capacities after an ASF outbreak in Estonia 35
4.1. Description of the animal and the data 35
4.2. Static effects: Preparedness 35
4.3. Dynamic analysis: Shock impact by ASF and characteristics of resilient pig farms 36
4.4. Pig sector level resilience in Estonia after ASF outbreak 37
4.5. Composite indicators for Estonian pig farms 40
5. Concluding remarks and policy implications 44
5.1. A methodological framework to measure farming resilience 44
5.2. Insights on crop farms resilience after the 2003 drought in Australia 46
5.3. Insights on pig farms resilience after the 2015 African Swine Fever outbreak in Estonia 48
References 50
Annex A. Detailed statistical results 52
Annex B. Methodology for shock identification: Australian drought (Section 2) 59
Annex C. Methodology for shock identification: Bluetongue outbreak in France (Section 3) 60
Annex D. Methodology for dynamic analysis: ASF in Estonia (Section 4) 62
Figure 1.1. Performance and resilience capacities 8
Figure 1.2. Analytical framework for resilience at farm level 9
Figure 2.1. Australian crop farms: Resilience preparedness characteristics 13
Figure 2.2. Australian crop farms: productivity, income and profits 16
Figure 2.3. Switching behaviour across productivity farm classes 26
Figure 2.4. Australian farms: Distribution of combined resilience index 29
Figure 2.5. Australian crop farms: Characteristics of resilient sample farms (productivity) 30
Figure 2.6. Australian crop farms: Characteristics of resilient sample farms (income) 30
Figure 2.7. Australian crop farms: Characteristics of resilient sample farms (profit) 31
Figure 3.1. Productivity (left panel) and Income (right panel) in affected region (blue line) and as mean of the donor pool (red line) 33
Figure 3.2. French dairy farms: Treatment effect for outcome variable productivity (left panel) and income (right panel) 34
Figure 4.1. Estonia pig farms - distribution of combined resilience index 41
Figure 4.2. Estonian pig farms: Characteristics of resilient sample farms (productivity) 43
Figure 4.3. Estonian pig farms: Characteristics of resilient sample farms (income) 43
Annex Tables
Table A.1. Australian crop farms: Difference-in-difference regressions for drought 2003 52
Table A.2. Australian crop farms - Summary DID regressions for significant droughts 53
Table A.3. Australian crop farms: Characteristics of resilient sample farms, productivity 54
Table A.4. Australian crop farms: Characteristics of resilient sample farms, income 55
Table A.5. Australian crop farms: Characteristics of resilient sample farms, profit 56
Table A.6. Estonian pig farms: Fixed effects regression productivity and income changes in 2014-16 57
Table A.7. Estonian pig farms: Characteristics of resilient sample farms, productivity 58
Table A.8. Estonian pig farms: Characteristics of resilient sample farms, income 58
Table C.1. French dairy farms: Means of selected variables for the donor pool, the affected region and the synthetic control region in the prediction period... 61
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