Rural transformation and structural change – A new spatial perspective on trade-offs in household decision-making in low-income countries

Informazioni relative al progetto

RTSC

ID dell’accordo di sovvenzione: 101025600

DOI

10.3030/101025600

Progetto concluso il 31 Marzo 2024

Data della firma CE 28 Febbraio 2021

Data di avvio 1 Settembre 2022

Data di completamento 31 Agosto 2024

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 176 036,16

Contributo UE

€ 176 036,16

Coordinato da

GEORG-AUGUST-UNIVERSITAT GOTTINGEN STIFTUNG OFFENTLICHEN RECHTS
Germany

Periodic Reporting for period 2 - RTSC (Rural transformation and structural change – A new spatial perspective on trade-offs in household decision-making in low-income countries)

Periodo di rendicontazione: 2023-09-01 al 2024-08-31

Sintesi del contesto e degli obiettivi generali del progetto

Understanding the decision-making of smallholder households in low-income countries is a crucial step in the design of effective policy measures for development. This task is becoming increasingly complicated as more and more factors (e.g. urbanization, climate change, conflict) influence rural transformation processes. Economic research normally singles out individual mechanisms (e.g. income composition) and spatial variability thereof is represented by access to the most important economic center in a region. However, trade-offs between multiple decision factors can lead to complex spatial patterns in livelihoods, often further complicated by multiple accessible economic centers. RTSC proposes an innovative and interdisciplinary framework to capture such complex patterns by modeling decision-making based on the location of a household in two-dimensional space. Among the objectives of the project are the development of microeconomic models capturing location-dependent trade-offs in household decision-making, the application of advanced statistical techniques to model potential nonlinearities, and the use of project results to support evidence-based policy design. All empirical analyses are conducted using primary data from Myanmar.

Lavoro eseguito dall’inizio del progetto fino alla fine del periodo coperto dalla relazione e principali risultati finora ottenuti

A large share of the work conducted in the project so far has been the processing of nationally representative survey data of agricultural and rural households in Myanmar collected by the International Food Policy Research Institute (IFPRI). This also includes the preparation of supplementary secondary and geospatial datasets to capture climate and weather variables, conflict events, and remoteness indicators. Based on these data sources several analyses are currently ongoing, addressing research questions around, for example, the effect of conflict on the rural-urban gradient of agricultural development, households' coping strategies when simultaneously facing climate and conflict shocks, and welfare trade-offs between livelihood diversification and specialization.

In a first working paper (https://www.ifpri.org/publication/urban-proximity-conflict-and-agricultural-development-evidence-myanmar) the empirical results indicate that the effect of conflict on agricultural development (e.g. input use, yield, prices) in Myanmar varies in space. That is, households in direct urban proximity or remote areas are disproportionately affected. Remote households are often relatively poor. Thus, conflict exacerbates already poor living conditions widening welfare gaps within the country. Households in urban proximity (i.e. with good market access) have been shown to modernize their production systems more easily and, therefore, drive agricultural development in the country. Conflict appears to be diminishing this comparative advantage of improved market access with likely serious consequences for economic development and food production in Myanmar.

Progressi oltre lo stato dell’arte e potenziale impatto previsto (incluso l’impatto socioeconomico e le implicazioni sociali più ampie del progetto fino ad ora)

The results of the first research paper of the project already show that the specific location in space/on a remoteness gradient is a crucial factor in understanding the dynamics of rural transformation processes and welfare implications. This observation is also likely to be confirmed by the upcoming research outputs of the project. The researchers expect that these insights will be helpful to policymakers and stakeholders, emphasizing that spatially explicit analysis can improve the targeting of programs and interventions for a more effective allocation of resources.

Conflict development in Myanmar (before and after the military takeover in 2021)