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Rural Structural Transformation in Developing Countries

Sector: Raw Materials • Location: Luxembourg, Spain

Source: EU Funding & Tenders Portal

Project
Ongoing

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

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The project “Rural Structural Transformation in Developing Countries” is an infrastructure initiative in the Raw Materials sector, located in Luxembourg, Spain. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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ongoing

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Description

Description

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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100%

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