More than Revenue: Taxation as a Development Tool - DIA 2013
mydata.iadb.org | Last Updated 15 Feb 2024Taxation in Latin America is largely viewed as a means of generating income to keep the government in business. In recent years, progress has been made towards increasing total revenue, but most countries in the region still lag well behind other countries with similar levels of development. More importantly, Latin America policymakers still largely ignore the potential of taxation to contribute to other important development goals. Governments have repeatedly missed the chance to influence consumption and production patterns by using taxes to effect relative price changes. More than Revenue aims to provide an up-to-date overview of the current state of taxation in the Latin American and Caribbean (LAC) region, its main reform needs, and possible reform strategies that take into account the likely economic, institutional, and political constraints on the reform process. <br><br><b>Click here to access the data: https://mydata.iadb.org/d/edmz-xf2j </b></br></br>
This dataset has the following 11 columns:
Column Name | API Column Name | Data Type | Sample Values |
---|---|---|---|
IndicadorNombre EN | indicadornombre_en | text | Corporate taxes (% of GDP) Fiscal revenue from contributions to social security (% of GDP) Fiscal revenue from natural resources (% of GDP) Fiscal revenue from taxes (% of GDP) Personal taxes (% of GDP) view top 100 |
IndicadorNombre ES | indicadornombre_es | text | Impuestos a la renta personal (% del PIB) Impuestos a la renta de las empresas (% del PIB) IVA (% del PIB) Ingresos fiscales por impuestos (% del PIB) La carga fiscal (% del PIB) view top 100 |
Indicador Nombre PT | indicador_nombre_pt | text | view top 100 |
Pais Nombre EN | pais_nombre_en | text | El Salvador Mexico Argentina Bolivia Peru view top 100 |
PaisNombre ES | paisnombre_es | text | Perú Panamá México Argentina Bolivia view top 100 |
Año | a_o | calendar_date | 2006-01-01T00:00:00.000 2005-01-01T00:00:00.000 2009-01-01T00:00:00.000 2007-01-01T00:00:00.000 2008-01-01T00:00:00.000 view top 100 |
Valor | valor | number | 0 4 1.7 1.76 3.43 view top 100 |
FuenteDescripción EN | fuentedescripci_n_en | text | IDB and CIAT (2014). Doing Business, World Bank (2014). IDB (2012), based on national sources of each country. CAF (2012); Cardoza (2012); Jiménez, Gómez Sabaini, and Podestá (2010); Pecho, Peláez, and Sánchez (2012); and Salim (2011). view top 100 |
Fuente Descripción ES | fuente_descripci_n_es | text | BID y CIAT (2014). Doing Business, Banco Mundial (2014). BID (2012), con base en fuentes nacionales de cada paÃs. CAF (2012); Cardoza (2012); Jiménez, Gómez Sabaini y Podestá (2010); Pecho, Peláez y Sánchez (2012); y Salim (2011). view top 100 |
Nota Descripción EN | nota_descripci_n_en | text | The value of the region was calculated using a simple average. CSCincludes: Argentina, Brazil, Chile, Paraguay, and Uruguay. The value of the region was calculated using a simple average. LAC-7includes: Argentina, Brazil, Chile, Colombia, Mexico, Peru, and Venezuela. The value of the region was calculated using a simple average. CACincludes: Belize, Costa Rica, DominiCANRepublic, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, and Panama. The value of the region was calculated using a simple average. CANincludes: Bolivia, Colombia, Ecuador, Peru, and Venezuela. The value of the region was calculated using a simple average. When data are available, CSCincludes: Argentina, Brazil, Chile, Paraguay, and Uruguay. view top 100 |
Nota Descripción ES | nota_descripci_n_es | text | El valor de la región se calculó utilizando un promedio simple. CSCincluye: Argentina, Brasil, Chile, Paraguay y Uruguay. El valor de la región se calculó utilizando un promedio simple. ALC-7 incluye: Argentina, Brasil, Chile, Colombia, México, Perú y Venezuela. El valor de la región se calculó utilizando un promedio simple. CACincluye: Belice, Costa Rica, El Salvador, Guatemala, Honduras, México, Nicaragua, Panamá y República Dominicana. El valor de la región se calculó utilizando un promedio simple. CANincluye: Bolivia, Colombia, Ecuador, Perú y Venezuela. El valor de la región se calculó utilizando un promedio simple. Cuando se dispone de datos, CANincluye: Bolivia, Colombia, Ecuador, Perú y Venezuela. view top 100 |