Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model

The Genuine Progress Indicator (GPI) was designed to reveal the trade-offs between costs and benefits of economic growth. Although originally estimated and contrasted with Gross Domestic Product (GDP) at national scales, an interest in a state-level adoption has developed in the United States to inf...
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Gespeichert in:

Autor*in:	Fox, Mairi-Jane V. [verfasserIn] Erickson, Jon D. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Umweltökonomik / Welt
Schlagwörter:	Genuine progress indicator Alternative macroeconomic indicators Sustainable development Ecological macroeconomics Gross domestic product

Übergeordnetes Werk:	Enthalten in: Ecological economics - Amsterdam [u.a.] : Elsevier Science, 1989, 167
Übergeordnetes Werk:	volume:167

DOI / URN:	10.1016/j.ecolecon.2019.106441

Katalog-ID:	ELV003218686

Internformat


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allfields	10.1016/j.ecolecon.2019.106441 doi (DE-627)ELV003218686 (ELSEVIER)S0921-8009(19)30241-1 DE-627 ger DE-627 rda eng BIODIV DE-30 fid 83.63 bkl Fox, Mairi-Jane V. verfasserin aut Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Genuine Progress Indicator (GPI) was designed to reveal the trade-offs between costs and benefits of economic growth. Although originally estimated and contrasted with Gross Domestic Product (GDP) at national scales, an interest in a state-level adoption has developed in the United States to inform and guide policy. As GPI scholarship and a community of practice has developed, questions have arisen about the quality and legitimacy of the GPI. To investigate, we apply a composite indicator analysis developed by the Organization for Economic Co-operation and Development (OECD) to fifty US state GPI estimates using a consistent method. We focus on a multi-variate analysis of the structure of the composite, sensitivity to weighting and aggregation assumptions, and the statistical relationship with other well-being indicators. Results are heavily influenced by a small number of components, point to a number of unintended policy outcomes, and have mixed relationships with allied indicators. The study suggests steps towards shared GPI governance among practitioners and researchers, consideration of data parsimony and potential double-counting, and data selection criteria to help fill gaps, prioritize needs, and better articulate the purpose and meaning of GPI. 1.1\x Umweltökonomik (DE-2867)15767-0 stw 1.2\x Welt (DE-2867)16809-5 stw Genuine progress indicator Alternative macroeconomic indicators Sustainable development Ecological macroeconomics Gross domestic product Erickson, Jon D. verfasserin aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 167 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:167 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie ECS-12001 SKW AR 167
spelling	10.1016/j.ecolecon.2019.106441 doi (DE-627)ELV003218686 (ELSEVIER)S0921-8009(19)30241-1 DE-627 ger DE-627 rda eng BIODIV DE-30 fid 83.63 bkl Fox, Mairi-Jane V. verfasserin aut Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Genuine Progress Indicator (GPI) was designed to reveal the trade-offs between costs and benefits of economic growth. Although originally estimated and contrasted with Gross Domestic Product (GDP) at national scales, an interest in a state-level adoption has developed in the United States to inform and guide policy. As GPI scholarship and a community of practice has developed, questions have arisen about the quality and legitimacy of the GPI. To investigate, we apply a composite indicator analysis developed by the Organization for Economic Co-operation and Development (OECD) to fifty US state GPI estimates using a consistent method. We focus on a multi-variate analysis of the structure of the composite, sensitivity to weighting and aggregation assumptions, and the statistical relationship with other well-being indicators. Results are heavily influenced by a small number of components, point to a number of unintended policy outcomes, and have mixed relationships with allied indicators. The study suggests steps towards shared GPI governance among practitioners and researchers, consideration of data parsimony and potential double-counting, and data selection criteria to help fill gaps, prioritize needs, and better articulate the purpose and meaning of GPI. 1.1\x Umweltökonomik (DE-2867)15767-0 stw 1.2\x Welt (DE-2867)16809-5 stw Genuine progress indicator Alternative macroeconomic indicators Sustainable development Ecological macroeconomics Gross domestic product Erickson, Jon D. verfasserin aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 167 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:167 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie ECS-12001 SKW AR 167
allfields_unstemmed	10.1016/j.ecolecon.2019.106441 doi (DE-627)ELV003218686 (ELSEVIER)S0921-8009(19)30241-1 DE-627 ger DE-627 rda eng BIODIV DE-30 fid 83.63 bkl Fox, Mairi-Jane V. verfasserin aut Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Genuine Progress Indicator (GPI) was designed to reveal the trade-offs between costs and benefits of economic growth. Although originally estimated and contrasted with Gross Domestic Product (GDP) at national scales, an interest in a state-level adoption has developed in the United States to inform and guide policy. As GPI scholarship and a community of practice has developed, questions have arisen about the quality and legitimacy of the GPI. To investigate, we apply a composite indicator analysis developed by the Organization for Economic Co-operation and Development (OECD) to fifty US state GPI estimates using a consistent method. We focus on a multi-variate analysis of the structure of the composite, sensitivity to weighting and aggregation assumptions, and the statistical relationship with other well-being indicators. Results are heavily influenced by a small number of components, point to a number of unintended policy outcomes, and have mixed relationships with allied indicators. The study suggests steps towards shared GPI governance among practitioners and researchers, consideration of data parsimony and potential double-counting, and data selection criteria to help fill gaps, prioritize needs, and better articulate the purpose and meaning of GPI. 1.1\x Umweltökonomik (DE-2867)15767-0 stw 1.2\x Welt (DE-2867)16809-5 stw Genuine progress indicator Alternative macroeconomic indicators Sustainable development Ecological macroeconomics Gross domestic product Erickson, Jon D. verfasserin aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 167 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:167 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie ECS-12001 SKW AR 167
allfieldsGer	10.1016/j.ecolecon.2019.106441 doi (DE-627)ELV003218686 (ELSEVIER)S0921-8009(19)30241-1 DE-627 ger DE-627 rda eng BIODIV DE-30 fid 83.63 bkl Fox, Mairi-Jane V. verfasserin aut Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Genuine Progress Indicator (GPI) was designed to reveal the trade-offs between costs and benefits of economic growth. Although originally estimated and contrasted with Gross Domestic Product (GDP) at national scales, an interest in a state-level adoption has developed in the United States to inform and guide policy. As GPI scholarship and a community of practice has developed, questions have arisen about the quality and legitimacy of the GPI. To investigate, we apply a composite indicator analysis developed by the Organization for Economic Co-operation and Development (OECD) to fifty US state GPI estimates using a consistent method. We focus on a multi-variate analysis of the structure of the composite, sensitivity to weighting and aggregation assumptions, and the statistical relationship with other well-being indicators. Results are heavily influenced by a small number of components, point to a number of unintended policy outcomes, and have mixed relationships with allied indicators. The study suggests steps towards shared GPI governance among practitioners and researchers, consideration of data parsimony and potential double-counting, and data selection criteria to help fill gaps, prioritize needs, and better articulate the purpose and meaning of GPI. 1.1\x Umweltökonomik (DE-2867)15767-0 stw 1.2\x Welt (DE-2867)16809-5 stw Genuine progress indicator Alternative macroeconomic indicators Sustainable development Ecological macroeconomics Gross domestic product Erickson, Jon D. verfasserin aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 167 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:167 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie ECS-12001 SKW AR 167
allfieldsSound	10.1016/j.ecolecon.2019.106441 doi (DE-627)ELV003218686 (ELSEVIER)S0921-8009(19)30241-1 DE-627 ger DE-627 rda eng BIODIV DE-30 fid 83.63 bkl Fox, Mairi-Jane V. verfasserin aut Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Genuine Progress Indicator (GPI) was designed to reveal the trade-offs between costs and benefits of economic growth. Although originally estimated and contrasted with Gross Domestic Product (GDP) at national scales, an interest in a state-level adoption has developed in the United States to inform and guide policy. As GPI scholarship and a community of practice has developed, questions have arisen about the quality and legitimacy of the GPI. To investigate, we apply a composite indicator analysis developed by the Organization for Economic Co-operation and Development (OECD) to fifty US state GPI estimates using a consistent method. We focus on a multi-variate analysis of the structure of the composite, sensitivity to weighting and aggregation assumptions, and the statistical relationship with other well-being indicators. Results are heavily influenced by a small number of components, point to a number of unintended policy outcomes, and have mixed relationships with allied indicators. The study suggests steps towards shared GPI governance among practitioners and researchers, consideration of data parsimony and potential double-counting, and data selection criteria to help fill gaps, prioritize needs, and better articulate the purpose and meaning of GPI. 1.1\x Umweltökonomik (DE-2867)15767-0 stw 1.2\x Welt (DE-2867)16809-5 stw Genuine progress indicator Alternative macroeconomic indicators Sustainable development Ecological macroeconomics Gross domestic product Erickson, Jon D. verfasserin aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 167 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:167 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie ECS-12001 SKW AR 167
language	English
source	Enthalten in Ecological economics 167 volume:167
sourceStr	Enthalten in Ecological economics 167 volume:167
format_phy_str_mv	Article
bklname	Volkswirtschaftliche Ressourcen Umweltökonomie
institution	findex.gbv.de
topic_facet	Umweltökonomik Welt Genuine progress indicator Alternative macroeconomic indicators Sustainable development Ecological macroeconomics Gross domestic product
isfreeaccess_bool	false
container_title	Ecological economics
authorswithroles_txt_mv	Fox, Mairi-Jane V. @@aut@@ Erickson, Jon D. @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	306658135
id	ELV003218686
language_de	englisch
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author	Fox, Mairi-Jane V.
spellingShingle	Fox, Mairi-Jane V. fid BIODIV bkl 83.63 stw Umweltökonomik stw Welt misc Genuine progress indicator misc Alternative macroeconomic indicators misc Sustainable development misc Ecological macroeconomics misc Gross domestic product Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model
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topic_title	BIODIV DE-30 fid 83.63 bkl Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model 1.1\x Umweltökonomik (DE-2867)15767-0 stw 1.2\x Welt (DE-2867)16809-5 stw Genuine progress indicator Alternative macroeconomic indicators Sustainable development Ecological macroeconomics Gross domestic product
topic	fid BIODIV bkl 83.63 stw Umweltökonomik stw Welt misc Genuine progress indicator misc Alternative macroeconomic indicators misc Sustainable development misc Ecological macroeconomics misc Gross domestic product
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title	Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model
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title_full	Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model
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title_sort	design and meaning of the genuine progress indicator: a statistical analysis of the u.s. fifty-state model
title_auth	Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model
abstract	The Genuine Progress Indicator (GPI) was designed to reveal the trade-offs between costs and benefits of economic growth. Although originally estimated and contrasted with Gross Domestic Product (GDP) at national scales, an interest in a state-level adoption has developed in the United States to inform and guide policy. As GPI scholarship and a community of practice has developed, questions have arisen about the quality and legitimacy of the GPI. To investigate, we apply a composite indicator analysis developed by the Organization for Economic Co-operation and Development (OECD) to fifty US state GPI estimates using a consistent method. We focus on a multi-variate analysis of the structure of the composite, sensitivity to weighting and aggregation assumptions, and the statistical relationship with other well-being indicators. Results are heavily influenced by a small number of components, point to a number of unintended policy outcomes, and have mixed relationships with allied indicators. The study suggests steps towards shared GPI governance among practitioners and researchers, consideration of data parsimony and potential double-counting, and data selection criteria to help fill gaps, prioritize needs, and better articulate the purpose and meaning of GPI.
abstractGer	The Genuine Progress Indicator (GPI) was designed to reveal the trade-offs between costs and benefits of economic growth. Although originally estimated and contrasted with Gross Domestic Product (GDP) at national scales, an interest in a state-level adoption has developed in the United States to inform and guide policy. As GPI scholarship and a community of practice has developed, questions have arisen about the quality and legitimacy of the GPI. To investigate, we apply a composite indicator analysis developed by the Organization for Economic Co-operation and Development (OECD) to fifty US state GPI estimates using a consistent method. We focus on a multi-variate analysis of the structure of the composite, sensitivity to weighting and aggregation assumptions, and the statistical relationship with other well-being indicators. Results are heavily influenced by a small number of components, point to a number of unintended policy outcomes, and have mixed relationships with allied indicators. The study suggests steps towards shared GPI governance among practitioners and researchers, consideration of data parsimony and potential double-counting, and data selection criteria to help fill gaps, prioritize needs, and better articulate the purpose and meaning of GPI.
abstract_unstemmed	The Genuine Progress Indicator (GPI) was designed to reveal the trade-offs between costs and benefits of economic growth. Although originally estimated and contrasted with Gross Domestic Product (GDP) at national scales, an interest in a state-level adoption has developed in the United States to inform and guide policy. As GPI scholarship and a community of practice has developed, questions have arisen about the quality and legitimacy of the GPI. To investigate, we apply a composite indicator analysis developed by the Organization for Economic Co-operation and Development (OECD) to fifty US state GPI estimates using a consistent method. We focus on a multi-variate analysis of the structure of the composite, sensitivity to weighting and aggregation assumptions, and the statistical relationship with other well-being indicators. Results are heavily influenced by a small number of components, point to a number of unintended policy outcomes, and have mixed relationships with allied indicators. The study suggests steps towards shared GPI governance among practitioners and researchers, consideration of data parsimony and potential double-counting, and data selection criteria to help fill gaps, prioritize needs, and better articulate the purpose and meaning of GPI.
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title_short	Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model
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Design and meaning of the genuine progress indicator: A statistical analysis of the U.S. fifty-state model

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