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Redefining Development: Different Times Call for Different Measures

Åhlén, Frida LU (2023) NEKH01 20222
Department of Economics
Abstract
This thesis examines the relationship between economic growth and sustainable wellbeing. It evaluates the ability of GDP per capita to capture a how efficiently a country delivers long, happy lives using the limited environmental resources available, as measured by the Happy Planet Index (HPI). The purpose of the study is to see if a measure such as the HPI would be more appropriate than GDP per capita for guiding policy to ensure sustainable development. Using a dataset of 151
countries over 14 years, GDP per capita is compared with HPI scores. The HPI is a composite measure of a country’s average life expectancy and experienced wellbeing, divided by the country’s per capita ecological footprint. After running a series of correlation... (More)
This thesis examines the relationship between economic growth and sustainable wellbeing. It evaluates the ability of GDP per capita to capture a how efficiently a country delivers long, happy lives using the limited environmental resources available, as measured by the Happy Planet Index (HPI). The purpose of the study is to see if a measure such as the HPI would be more appropriate than GDP per capita for guiding policy to ensure sustainable development. Using a dataset of 151
countries over 14 years, GDP per capita is compared with HPI scores. The HPI is a composite measure of a country’s average life expectancy and experienced wellbeing, divided by the country’s per capita ecological footprint. After running a series of correlation analyses and a series of fixed effect panel regressions it is concluded that GDP per capita has a slight ability to predict a country’s HPI score. There is proven to be a positive relationship up until the point where a country’s GDP per capita is approximately US$1600 - US$3900. There are however ninety countries in the dataset with a GDP per capita above US$3900. This leads to a conclusion that there is a need for more of a pluralism approach in economics where GDP and a measure such as the HPI can be used alongside each other to guide policymaking in a sustainable direction. (Less)
Popular Abstract
This thesis examines the relationship between economic growth and sustainable wellbeing. It evaluates the ability of GDP per capita to capture a how efficiently a country delivers long, happy lives using the limited environmental resources available, as measured by the Happy Planet Index (HPI). The purpose of the study is to see if a measure such as the HPI would be more appropriate than GDP per capita for guiding policy to ensure sustainable development. Using a dataset of 151
countries over 14 years, GDP per capita is compared with HPI scores. The HPI is a composite measure of a country’s average life expectancy and experienced wellbeing, divided by the country’s per capita ecological footprint. After running a series of correlation... (More)
This thesis examines the relationship between economic growth and sustainable wellbeing. It evaluates the ability of GDP per capita to capture a how efficiently a country delivers long, happy lives using the limited environmental resources available, as measured by the Happy Planet Index (HPI). The purpose of the study is to see if a measure such as the HPI would be more appropriate than GDP per capita for guiding policy to ensure sustainable development. Using a dataset of 151
countries over 14 years, GDP per capita is compared with HPI scores. The HPI is a composite measure of a country’s average life expectancy and experienced wellbeing, divided by the country’s per capita ecological footprint. After running a series of correlation analyses and a series of fixed effect panel regressions it is concluded that GDP per capita has a slight ability to predict a country’s HPI score. There is proven to be a positive relationship up until the point where a country’s GDP per capita is approximately US$1600 - US$3900. There are however ninety countries in the dataset with a GDP per capita above US$3900. This leads to a conclusion that there is a need for more of a pluralism approach in economics where GDP and a measure such as the HPI can be used alongside each other to guide policymaking in a sustainable direction. (Less)
Please use this url to cite or link to this publication:
author
Åhlén, Frida LU
supervisor
organization
course
NEKH01 20222
year
type
M2 - Bachelor Degree
subject
keywords
Happy Planet Index, GDP per capita, sustainable development, degrowth
language
English
id
9110758
date added to LUP
2023-03-28 09:00:48
date last changed
2023-03-28 09:00:48
@misc{9110758,
  abstract     = {{This thesis examines the relationship between economic growth and sustainable wellbeing. It evaluates the ability of GDP per capita to capture a how efficiently a country delivers long, happy lives using the limited environmental resources available, as measured by the Happy Planet Index (HPI). The purpose of the study is to see if a measure such as the HPI would be more appropriate than GDP per capita for guiding policy to ensure sustainable development. Using a dataset of 151
countries over 14 years, GDP per capita is compared with HPI scores. The HPI is a composite measure of a country’s average life expectancy and experienced wellbeing, divided by the country’s per capita ecological footprint. After running a series of correlation analyses and a series of fixed effect panel regressions it is concluded that GDP per capita has a slight ability to predict a country’s HPI score. There is proven to be a positive relationship up until the point where a country’s GDP per capita is approximately US$1600 - US$3900. There are however ninety countries in the dataset with a GDP per capita above US$3900. This leads to a conclusion that there is a need for more of a pluralism approach in economics where GDP and a measure such as the HPI can be used alongside each other to guide policymaking in a sustainable direction.}},
  author       = {{Åhlén, Frida}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Redefining Development: Different Times Call for Different Measures}},
  year         = {{2023}},
}