Name: Social Protection Program Spending and Household Welfare in Ghana (en Inglés)
Price: 45610.00 CLP
Availability: InStock
Author: Raju, Dhushyanth ; Younger, Stephen ; Dadzie, Christabel
ISBN: 9781464820052

portada Social Protection Program Spending and Household Welfare in Ghana (en Inglés)

Formato

Libro Físico

Autor

Dhushyanth Raju

Stephen Younger

Christabel Dadzie

Editorial

World Bank Publications

Idioma

Inglés

N° páginas

136

Encuadernación

Tapa Blanda

Dimensiones

27.9 x 21.6 x 0.7 cm

Peso

0.33 kg.

ISBN13

9781464820052

Categorías

Servicios sociales
Economía

Social Protection Program Spending and Household Welfare in Ghana (en Inglés)

Dhushyanth Raju (Autor) · Stephen Younger (Autor) · Christabel Dadzie (Autor) · World Bank Publications · Tapa Blanda

Libro Físico

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Social Protection Program Spending and Household Welfare in Ghana (en Inglés)"

Ghana administers multiple social protection programs. One of these, pensions provided by the Social Security and National Insurance Trust, has a long history, but others-the Ghana School Feeding Programme, Labor-Intensive Public Works program, Livelihood Empowerment Against Poverty program, and National Health Insurance Scheme-have been introduced and expanded only over the past two decades. Social Protection Program Spending and Household Welfare in Ghana assesses the performance of the government of Ghana's main social assistance and social insurance programs. The study discusses the programs' main design and implementation parameters; summarizes existing evaluative and operational research; and examines the patterns and trends in program benefit spending, using government administrative data, and the programs' coverage rates, incidence, and effectiveness for reducing poverty and inequality, using recent national household sample survey data. Furthermore, the study examines the relationship between household participation in social assistance programs and exposure to adverse covariate shocks-specifically, possible weather-related shocks-on the basis of high-resolution climate risk maps for the country.