Horizon Europe (2021 - 2027)

Rural Structural Transformation in Developing Countries: RUSTDEC

Last update: Apr 11, 2024 Last update: Apr 11, 2024

Details

Locations:Spain
Start Date:Jan 1, 2024
End Date:Dec 31, 2028
Contract value:EUR 1,500,000
Sectors:Agriculture, Environment & NRM, Health, Informatio ... See moreAgriculture, Environment & NRM, Health, Information & Communication Technology, Macro-Econ. & Public Finance
Categories:Grants
Date posted:Apr 11, 2024

Associated funding

Associated experts

Description

Programme(s): HORIZON.1.1 - European Research Council (ERC) 

Topic(s): ERC-2022-STG - ERC STARTING GRANTS

Call for proposal: ERC-2022-STG

Funding Scheme: HORIZON-ERC - HORIZON ERC Grants

Grant agreement ID: 101078719

Objective:

A key feature of economic development is structural transformation characterized by spatial and sectoral labor reallocation out of agriculture. Despite clear evidence of rural-urban migration flows in developing countries, recent contributions show persistently lower productivity in agriculture compared to other sectors and large disparity in agricultural productivity across space. This points to the key question of this proposal: “why do so many workers remain in agriculture”? There is a pressing need for reliable answers to this question as rural areas host large shares of the population, facing high agricultural risk and poverty incidence. Any effective poverty eradication policy, such as those envisioned by the UN’s Sustainable Development Goals, must therefore necessarily focus on rural development. RUSTDEC will obtain novel answers to this key question by combining innovative micro panel data from Sub-Saharan Africa and Southeast Asia with an array of geospatial data on rural areas, exogenous variation in agricultural productivity, and quantitative theoretical models. The project employs remote-sensing and computer vision methods for generating community data as well as quasi-experimental and structural estimation techniques for rigorous causal estimation to pursue three major objectives: (i) provide first evidence on the role of dynamic adjustments in agricultural production for explaining the agricultural productivity gap and the magnitude of factor (mis-)allocation; (ii) dissect the microeconomic anatomy of spatial and sectoral labor reallocation and skill selectivity within and across rural communities; and (iii) identify the historic and future impact of climate change on agricultural production, adaptation, and rural development and its implications for the productivity gap. These objectives address three well-defined gaps in the literature, each going beyond the specific state-of-the-art and with the potential of generating ground-breaking impact.

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