Spatial Correlation, Trade, and Inequality: Evidence from the Global Climate / Jonathan I. Dingel, Kyle C. Meng, Solomon M. Hsiang.
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- F11 - Neoclassical Models of Trade
- F14 - Empirical Studies of Trade
- F18 - Trade and Environment
- O13 - Agriculture • Natural Resources • Energy • Environment • Other Primary Products
- Q17 - Agriculture in International Trade
- Q54 - Climate • Natural Disasters and Their Management • Global Warming
- Q56 - Environment and Development • Environment and Trade • Sustainability • Environmental Accounts and Accounting • Environmental Equity • Population Growth
- Hardcopy version available to institutional subscribers
Item type | Home library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Working Paper | Biblioteca Digital | Colección NBER | nber w25447 (Browse shelf(Opens below)) | Not For Loan |
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January 2019.
This paper shows that greater global spatial correlation of productivities can increase cross-country welfare dispersion by increasing the correlation between a country's productivity and its gains from trade. We validate this prediction using a global climatic phenomenon as a natural experiment. We find that gains from trade in cereals over the last half-century were larger for more productive countries and smaller for less productive countries when cereal productivity was more spatially correlated. Incorporating this role for spatial interdependence into a projection of climate-change impacts raises projected international inequality, with higher welfare losses across most of Africa.
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