A booster to conditional cash transfer programme: experimental evidence on financial inclusion and livelihood enhancement project

While Conditional Cash Transfer (CCT) Programmes have contributed to sustained economic growth in many countries, existing evaluations show that the Honduran CCT programme has only a modest impact on poverty. This study examines a causal impact of a training project on financial inclusion and livelihood enhancement conducted as a booster to increase the effectiveness of the CCT programme. Based on a graduation approach, the project provides multi-faceted interventions to randomly selected CCT beneficiaries. We estimate intention-to-treat effects and find that the interventions significantly increase financial literacy and inclusion, including knowledge of financial institutions, financial accounts, bookkeeping, and pro-saving attitudes. We also find that the treated individuals in rural areas gain significant income from business, livestock farming, and agriculture by switching employment. Importantly, we find evidence that the interventions contribute to female empowerment by changing the intra-household decision-making process. The impact is much larger in rural areas, where financial markets are underdeveloped, and the traditional gender pattern is more prevalent. The intervention seems to reduce the urban-rural gap.

Authors

Institutions

Publication Details

Journal
Journal of Development Effectiveness
Published
2024-08-22
DOI
https://doi.org/10.1080/19439342.2024.2394478
Citations
1
Primary Topic
Poverty, Education, and Child Welfare
Type
article
Field-Weighted Citation Impact
0.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A booster to conditional cash transfer programme: experimental evidence on financial inclusion and livelihood enhancement project

Ayako Matsuda, Keitaro Aoyagi, Miki Uematsu, Takako Mochizuki
1 citations
Journal of Development Effectiveness
Poverty, Education, and Child Welfare
0.53
article

A booster to conditional cash transfer programme: experimental evidence on financial inclusion and livelihood enhancement project

Ayako Matsuda, Keitaro Aoyagi, Miki Uematsu, Takako Mochizuki
article en
1 citations

Abstract

While Conditional Cash Transfer (CCT) Programmes have contributed to sustained economic growth in many countries, existing evaluations show that the Honduran CCT programme has only a modest impact on poverty. This study examines a causal impact of a training project on financial inclusion and livelihood enhancement conducted as a booster to increase the effectiveness of the CCT programme. Based on a graduation approach, the project provides multi-faceted interventions to randomly selected CCT beneficiaries. We estimate intention-to-treat effects and find that the interventions significantly increase financial literacy and inclusion, including knowledge of financial institutions, financial accounts, bookkeeping, and pro-saving attitudes. We also find that the treated individuals in rural areas gain significant income from business, livestock farming, and agriculture by switching employment. Importantly, we find evidence that the interventions contribute to female empowerment by changing the intra-household decision-making process. The impact is much larger in rural areas, where financial markets are underdeveloped, and the traditional gender pattern is more prevalent. The intervention seems to reduce the urban-rural gap.

Journal of Development EffectivenessVol. 17(2)
Japan International Cooperation Agency (JP), Kansai University (JP)
Reduced inequalities
Openalex Percentile: Top 28%
Poverty, Education, and Child Welfare
0.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.