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 Will documents x-country income
convergence and how the agricultural sector
is being transformed by it
 To what extent is agriculture transformation
◦ an effect of
◦ or a cause of
economic growth?
 Why might this matter?
 Neoclassical growth model (Solow)
◦ Economies with low capital stock have to grow faster than
those already in steady state (diminishing MPK).
◦ Nothing to do with agriculture per se
 Structural transformation
◦ Gradual shift of labor out of low productivity agriculture
 overall growth (e.g., Gollin, Parente, Rogerson 2002)
◦ Increasing ag productivity a precondition for growth
 Evidence from the Green Revolution (Gollin et al.
2018): GDP/capita = f(HYV adoption,…)
◦  80% of economic growth in DCs from 1960-2000
accounted for by HYV adoption!
◦  60% of this effect comes via ag productivity growth, 40%
via reallocation of labor out of agriculture.
◦  Developing world would have had a billion more people
without a Green Revolution.
 Yet puzzles remain:
◦ Estimated effects of HYV persist in a sample dominated by
low adoption countries of SSA.
◦ 2SLS vs. OLS  higher national income associated with
lower HYV adoption rate.
◦ Not much room left for other causal factors (e.g. trade
liberalization, nonag technology as in Baldwin 2016)
 If both income and population growth in DCs
are largely driven by ag technical change
◦ Might need to rethink food demand/supply
projections that treat these sides of the market as
independent
◦ Need to think about how, in the era of globalization
(i.e., post-2000), trade interacts with technology
adoption in agriculture

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Hanan Jacoby - Economic growth, convergence and agricultural economics

  • 1.
  • 2.  Will documents x-country income convergence and how the agricultural sector is being transformed by it  To what extent is agriculture transformation ◦ an effect of ◦ or a cause of economic growth?  Why might this matter?
  • 3.  Neoclassical growth model (Solow) ◦ Economies with low capital stock have to grow faster than those already in steady state (diminishing MPK). ◦ Nothing to do with agriculture per se  Structural transformation ◦ Gradual shift of labor out of low productivity agriculture  overall growth (e.g., Gollin, Parente, Rogerson 2002) ◦ Increasing ag productivity a precondition for growth
  • 4.  Evidence from the Green Revolution (Gollin et al. 2018): GDP/capita = f(HYV adoption,…) ◦  80% of economic growth in DCs from 1960-2000 accounted for by HYV adoption! ◦  60% of this effect comes via ag productivity growth, 40% via reallocation of labor out of agriculture. ◦  Developing world would have had a billion more people without a Green Revolution.  Yet puzzles remain: ◦ Estimated effects of HYV persist in a sample dominated by low adoption countries of SSA. ◦ 2SLS vs. OLS  higher national income associated with lower HYV adoption rate. ◦ Not much room left for other causal factors (e.g. trade liberalization, nonag technology as in Baldwin 2016)
  • 5.  If both income and population growth in DCs are largely driven by ag technical change ◦ Might need to rethink food demand/supply projections that treat these sides of the market as independent ◦ Need to think about how, in the era of globalization (i.e., post-2000), trade interacts with technology adoption in agriculture