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Spatial Structural Change

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  • Fabian Eckert
  • Michael Peters
Abstract
Between 1880 and 1920, the US agricultural employment share fell from 50% to 25%. However, despite aggregate demand shifting away from their sector of specialization, rural labor markets saw faster wage growth and industrialization than non-agricultural parts of the US. We propose a spatial model of the structural transformation to analyze the link between aggregate structural change and local economic development. The calibrated model shows that rural areas adapted to the decline of the agricultural sector by adopting technologies already in use in urban locations. Without such catchup growth, economic development would have been urban-biased and spatial inequality would have increased.

Suggested Citation

  • Fabian Eckert & Michael Peters, 2022. "Spatial Structural Change," NBER Working Papers 30489, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:30489
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    16. Gaggl, Paul & Gray, Rowena & Marinescu, Ioana & Morin, Miguel, 2021. "Does electricity drive structural transformation? Evidence from the United States," Labour Economics, Elsevier, vol. 68(C).
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    19. Cao, Huoqing & Chen, Shiyi & Xi, Xican, 2023. "Aging, migration, and structural transformation in China," Economic Modelling, Elsevier, vol. 126(C).
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    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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