Periodic Reporting for period 5 - EDST (Economic Development and Structural Transformation)
Reporting period: 2022-09-01 to 2024-02-29
However, the experience of several low income countries appears inconsistent with the idea that high agricultural productivity leads to economic development. Explanations proposed by the theoretical literature include openness to trade (in an open economy, industrial goods can be imported and savings can be exported) and market failures that characterize developing economies and can limit the reallocation of factors of production across sectors. For example, financial frictions might constrain the reallocation of capital and thus retard the process of labor reallocation.
Our work aims to contribute to our understanding of the role of agricultural productivity on structural transformation by providing direct empirical evidence on i) the effects of the adoption of new agricultural technologies in Brazil ii) the effects of a reduction in agricultural productivity caused by recent changes in climate in Brazil. The evidence is based in micro-data from the agriculture and population census, yearly industry survey, technology and innovation survey, social security data and credit registry.
“Capital accumulation and structural transformation” (Bustos, Garber, and Ponticelli, Quarterly Journal of Economics, 2020), documents the effects of the agricultural boom on capital markets. We use credit registry data to show that agricultural productivity growth did not generate an inflow of capital into the agricultural sector but generated capital outflow from rural areas. Banks redirected agricultural savings to urban areas within the country where they were invested in the manufacturing and service sectors.
“The effects of climate change on labor and capital reallocation” (Albert, Bustos, and Ponticelli, working paper, 2024) presents evidence on the economic consequences of a reduction in agricultural productivity caused by recent changes in climate in Brazil that increased the severity of droughts. Classic international trade and geography models predict that the optimal adaptation response is a reallocation of capital and labor from agriculture towards other sectors and regions gaining comparative advantage. We document that persistent increases in dryness do not generate capital reallocation but a sharp reduction in credit to all sectors in both drying areas and financially integrated regions. In addition, dryness generates a large reduction in agricultural employment. Workers staying in drying regions reallocate towards manufacturing but climate migrants are allocated to small firms outside of manufacturing in destination regions. The evidence suggests that frictions in the interbank market and spatial labor market frictions constrain the reallocation process from agriculture to manufacturing.
"Immigration and spatial equilibrium: The role of expenditures in the country of origin" (Albert, C., and Monràs, J. American Economic Review, 2022) and "Labor market competition and the assimilation of immigrants" (Albert, C., Glitz, A., and Llull, J. 2022) Revise and Resubmit, American Economic Review 2022 study asymmetries between natives and migrants that are important for assimilation at destination.
The scientific output for this project has been disseminated through i) presentations ii) publications iii) open access to data iv) social media: Twitter and Linkedin; v) a project website.
Our article "Industrialization without Innovation" informs the debate on whether reallocating agricultural workers into manufacturing can increase aggregate productivity. In this sense, our findings are a cautionary tale on the effects of structural change on productivity growth, by highlighting the importance of skilled-labor scarcity for innovation in the manufacturing sector.
“The effects of climate change on labor and capital reallocation" contributes to the literature studying adaptation to climate change in developing countries. A key channel of adjustment highlighted by the theoretical literature is factor reallocation from the directly affected rural agricultural sector to the industrial and service sectors in urban regions. Our finding that this process is constrained by spatial labor and capital market frictions implies that the costs of climate adaptation in developing countries are likely to be larger than those predicted by classic models without factor market frictions.