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From
How to Improve World Food Supply Stability under Future Uncertainty: Potential Role of WTO Regulation on Export Restrictions in Rice
Tetsuji Tanaka, Baris Karapinar
Journal of Food Security
.
2019
, 7(4), 129-150 doi:10.12691/jfs-7-4-5
Table 1. List of regions, sectors, and factors in the model
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Table 2. Simulation scenarios(Notes: Diff.=Differentiated, Non-diff=Non-differentiated, SD = standard deviation, DQ = Differentiated quantitative restrictions, NQ = Non-differentiated quantitative restrictions, Dduty = Differentiated duty, Nduty = Non-differentiated duty, _15% = Price trigger of 15%, _25% = Price trigger of 25%, _N: New reference equilibrium, 2xSD = standard deviation twice as observed. Example: DQ25-50_15% = Differentiated quantitative restrictions applied at 25% for major exporter, 50% by minor exporters, both responding to the price trigger of 15%.)
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Table 3. Export quota and duty scenarios
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Table 4. Summary statistics of simulation results
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Table A.1. Elasticity values
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Table A.2 Sensitivity analyses: Armington elasticity +50%
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Table A.3. Sensitivity analyses: Armington elasticity -50%
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Table A.4. Sensitivity analysis: elasticity of factor substitution in agricultural sectors +50%
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Table A.5. Sensitivity analysis: elasticity of factor substitution in agricultural sectors -50%
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Table B.1. Correlation of the OLS residuals of productivity changes between regions(Source: Authors’ calculation from the FAOSTAT. Notes: ROAS, ROE, ROAF, and ROW stand for Rest of Asia, Rest of Europe, Rest of Africa, and Rest of the World, respectively.)
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