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Regional Disparities in Agricultural Transformation, Growth and Poverty Reduction: Brazil in a historical perspective

Rohenkohl Cruz, Bertha LU (2016) EKHM52 20161
Department of Economic History
Abstract
This paper aims to improve the understanding of economic
development in Brazil since the 1950s by studying the relationship between
structural transformation and poverty reduction at the state-level. Results from
a modified shift-share analysis and analysis of an indicator of agricultural
transformation suggest that structural transformation is a rather heterogeneous
process within the country, highlighting the importance of a regional
perspective. In addition, to a large extent, success is path dependent. Initially
richer and more productive states were found to also be at the top of the
ranking 60 years later. Furthermore, the sectoral composition of economic
growth affects poverty reduction. Growth elasticities of poverty... (More)
This paper aims to improve the understanding of economic
development in Brazil since the 1950s by studying the relationship between
structural transformation and poverty reduction at the state-level. Results from
a modified shift-share analysis and analysis of an indicator of agricultural
transformation suggest that structural transformation is a rather heterogeneous
process within the country, highlighting the importance of a regional
perspective. In addition, to a large extent, success is path dependent. Initially
richer and more productive states were found to also be at the top of the
ranking 60 years later. Furthermore, the sectoral composition of economic
growth affects poverty reduction. Growth elasticities of poverty reduction
change over time, as the structural transformation takes place. States with
higher growth elasticity of poverty from non-agriculture were also the ones
with presence of a more dynamic agricultural sector. This analysis of the case
of Brazil and its states echoes the findings of other studies and supports the
idea that a successful structural transformation leads the way to economic
development. (Less)
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author
Rohenkohl Cruz, Bertha LU
supervisor
organization
course
EKHM52 20161
year
type
H2 - Master's Degree (Two Years)
subject
keywords
economic development, economic growth, structural transformation, poverty reduction, Brazil
language
English
additional info
The thesis is the 2016 winner of best thesis award at the Department of Economic History, Lund University
id
8881792
date added to LUP
2016-06-20 13:08:14
date last changed
2016-06-20 13:08:14
@misc{8881792,
  abstract     = {This paper aims to improve the understanding of economic
development in Brazil since the 1950s by studying the relationship between
structural transformation and poverty reduction at the state-level. Results from
a modified shift-share analysis and analysis of an indicator of agricultural
transformation suggest that structural transformation is a rather heterogeneous
process within the country, highlighting the importance of a regional
perspective. In addition, to a large extent, success is path dependent. Initially
richer and more productive states were found to also be at the top of the
ranking 60 years later. Furthermore, the sectoral composition of economic
growth affects poverty reduction. Growth elasticities of poverty reduction
change over time, as the structural transformation takes place. States with
higher growth elasticity of poverty from non-agriculture were also the ones
with presence of a more dynamic agricultural sector. This analysis of the case
of Brazil and its states echoes the findings of other studies and supports the
idea that a successful structural transformation leads the way to economic
development.},
  author       = {Rohenkohl Cruz, Bertha},
  keyword      = {economic development,economic growth,structural transformation,poverty reduction,Brazil},
  language     = {eng},
  note         = {Student Paper},
  title        = {Regional Disparities in Agricultural Transformation, Growth and Poverty Reduction: Brazil in a historical perspective},
  year         = {2016},
}