Does human capital or physical capital constrain output in Japanese prefectures?
Abstract This paper develops a dynamic–network DEA (data envelopment analysis) model where total output is jointly produced from two sectors: a human capital sector and a physical capital sector. Each prefecture produces a final output and an intermediate product which is used to augment future phys...
Ausführliche Beschreibung
Autor*in: |
Fukuyama, Hirofumi [verfasserIn] |
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Artikel |
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Sprache: |
Englisch |
Erschienen: |
2017 |
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Anmerkung: |
© Springer-Verlag Berlin Heidelberg 2017 |
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Übergeordnetes Werk: |
Enthalten in: Empirical economics - Springer Berlin Heidelberg, 1976, 54(2017), 2 vom: 07. Jan., Seite 379-393 |
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Übergeordnetes Werk: |
volume:54 ; year:2017 ; number:2 ; day:07 ; month:01 ; pages:379-393 |
Links: |
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DOI / URN: |
10.1007/s00181-016-1202-5 |
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Katalog-ID: |
OLC2063192812 |
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10.1007/s00181-016-1202-5 doi (DE-627)OLC2063192812 (DE-He213)s00181-016-1202-5-p DE-627 ger DE-627 rakwb eng 650 VZ 000 330 VZ Fukuyama, Hirofumi verfasserin aut Does human capital or physical capital constrain output in Japanese prefectures? 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2017 Abstract This paper develops a dynamic–network DEA (data envelopment analysis) model where total output is jointly produced from two sectors: a human capital sector and a physical capital sector. Each prefecture produces a final output and an intermediate product which is used to augment future physical capital. The optimization method allows future production possibilities to be enhanced if some final output in the current period is foregone so that larger amounts of the intermediate product can be produced. The goal is to choose the amounts of final output and intermediate product so as to maximize the size of the production possibility set. The method also allows identification of whether output is constrained by a lack of physical capital, a lack of human capital or a lack of both types of capital. We apply our method to 47 Japanese prefectures during the period 2007–2009. A key finding is that a lack of human capital is constraining potential output. Dynamic DEA Network DEA Dynamic–network model Hashimoto, Atsuo aut Tone, Kaoru aut Weber, William L. aut Enthalten in Empirical economics Springer Berlin Heidelberg, 1976 54(2017), 2 vom: 07. Jan., Seite 379-393 (DE-627)130166235 (DE-600)519394-1 (DE-576)015709310 0377-7332 nnns volume:54 year:2017 number:2 day:07 month:01 pages:379-393 https://doi.org/10.1007/s00181-016-1202-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_11 GBV_ILN_26 GBV_ILN_130 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4277 GBV_ILN_4323 AR 54 2017 2 07 01 379-393 |
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10.1007/s00181-016-1202-5 doi (DE-627)OLC2063192812 (DE-He213)s00181-016-1202-5-p DE-627 ger DE-627 rakwb eng 650 VZ 000 330 VZ Fukuyama, Hirofumi verfasserin aut Does human capital or physical capital constrain output in Japanese prefectures? 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2017 Abstract This paper develops a dynamic–network DEA (data envelopment analysis) model where total output is jointly produced from two sectors: a human capital sector and a physical capital sector. Each prefecture produces a final output and an intermediate product which is used to augment future physical capital. The optimization method allows future production possibilities to be enhanced if some final output in the current period is foregone so that larger amounts of the intermediate product can be produced. The goal is to choose the amounts of final output and intermediate product so as to maximize the size of the production possibility set. The method also allows identification of whether output is constrained by a lack of physical capital, a lack of human capital or a lack of both types of capital. We apply our method to 47 Japanese prefectures during the period 2007–2009. A key finding is that a lack of human capital is constraining potential output. Dynamic DEA Network DEA Dynamic–network model Hashimoto, Atsuo aut Tone, Kaoru aut Weber, William L. aut Enthalten in Empirical economics Springer Berlin Heidelberg, 1976 54(2017), 2 vom: 07. Jan., Seite 379-393 (DE-627)130166235 (DE-600)519394-1 (DE-576)015709310 0377-7332 nnns volume:54 year:2017 number:2 day:07 month:01 pages:379-393 https://doi.org/10.1007/s00181-016-1202-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_11 GBV_ILN_26 GBV_ILN_130 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4277 GBV_ILN_4323 AR 54 2017 2 07 01 379-393 |
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10.1007/s00181-016-1202-5 doi (DE-627)OLC2063192812 (DE-He213)s00181-016-1202-5-p DE-627 ger DE-627 rakwb eng 650 VZ 000 330 VZ Fukuyama, Hirofumi verfasserin aut Does human capital or physical capital constrain output in Japanese prefectures? 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2017 Abstract This paper develops a dynamic–network DEA (data envelopment analysis) model where total output is jointly produced from two sectors: a human capital sector and a physical capital sector. Each prefecture produces a final output and an intermediate product which is used to augment future physical capital. The optimization method allows future production possibilities to be enhanced if some final output in the current period is foregone so that larger amounts of the intermediate product can be produced. The goal is to choose the amounts of final output and intermediate product so as to maximize the size of the production possibility set. The method also allows identification of whether output is constrained by a lack of physical capital, a lack of human capital or a lack of both types of capital. We apply our method to 47 Japanese prefectures during the period 2007–2009. A key finding is that a lack of human capital is constraining potential output. Dynamic DEA Network DEA Dynamic–network model Hashimoto, Atsuo aut Tone, Kaoru aut Weber, William L. aut Enthalten in Empirical economics Springer Berlin Heidelberg, 1976 54(2017), 2 vom: 07. Jan., Seite 379-393 (DE-627)130166235 (DE-600)519394-1 (DE-576)015709310 0377-7332 nnns volume:54 year:2017 number:2 day:07 month:01 pages:379-393 https://doi.org/10.1007/s00181-016-1202-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_11 GBV_ILN_26 GBV_ILN_130 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4277 GBV_ILN_4323 AR 54 2017 2 07 01 379-393 |
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10.1007/s00181-016-1202-5 doi (DE-627)OLC2063192812 (DE-He213)s00181-016-1202-5-p DE-627 ger DE-627 rakwb eng 650 VZ 000 330 VZ Fukuyama, Hirofumi verfasserin aut Does human capital or physical capital constrain output in Japanese prefectures? 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2017 Abstract This paper develops a dynamic–network DEA (data envelopment analysis) model where total output is jointly produced from two sectors: a human capital sector and a physical capital sector. Each prefecture produces a final output and an intermediate product which is used to augment future physical capital. The optimization method allows future production possibilities to be enhanced if some final output in the current period is foregone so that larger amounts of the intermediate product can be produced. The goal is to choose the amounts of final output and intermediate product so as to maximize the size of the production possibility set. The method also allows identification of whether output is constrained by a lack of physical capital, a lack of human capital or a lack of both types of capital. We apply our method to 47 Japanese prefectures during the period 2007–2009. A key finding is that a lack of human capital is constraining potential output. Dynamic DEA Network DEA Dynamic–network model Hashimoto, Atsuo aut Tone, Kaoru aut Weber, William L. aut Enthalten in Empirical economics Springer Berlin Heidelberg, 1976 54(2017), 2 vom: 07. Jan., Seite 379-393 (DE-627)130166235 (DE-600)519394-1 (DE-576)015709310 0377-7332 nnns volume:54 year:2017 number:2 day:07 month:01 pages:379-393 https://doi.org/10.1007/s00181-016-1202-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_11 GBV_ILN_26 GBV_ILN_130 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4277 GBV_ILN_4323 AR 54 2017 2 07 01 379-393 |
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10.1007/s00181-016-1202-5 doi (DE-627)OLC2063192812 (DE-He213)s00181-016-1202-5-p DE-627 ger DE-627 rakwb eng 650 VZ 000 330 VZ Fukuyama, Hirofumi verfasserin aut Does human capital or physical capital constrain output in Japanese prefectures? 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2017 Abstract This paper develops a dynamic–network DEA (data envelopment analysis) model where total output is jointly produced from two sectors: a human capital sector and a physical capital sector. Each prefecture produces a final output and an intermediate product which is used to augment future physical capital. The optimization method allows future production possibilities to be enhanced if some final output in the current period is foregone so that larger amounts of the intermediate product can be produced. The goal is to choose the amounts of final output and intermediate product so as to maximize the size of the production possibility set. The method also allows identification of whether output is constrained by a lack of physical capital, a lack of human capital or a lack of both types of capital. We apply our method to 47 Japanese prefectures during the period 2007–2009. A key finding is that a lack of human capital is constraining potential output. Dynamic DEA Network DEA Dynamic–network model Hashimoto, Atsuo aut Tone, Kaoru aut Weber, William L. aut Enthalten in Empirical economics Springer Berlin Heidelberg, 1976 54(2017), 2 vom: 07. Jan., Seite 379-393 (DE-627)130166235 (DE-600)519394-1 (DE-576)015709310 0377-7332 nnns volume:54 year:2017 number:2 day:07 month:01 pages:379-393 https://doi.org/10.1007/s00181-016-1202-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_11 GBV_ILN_26 GBV_ILN_130 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4277 GBV_ILN_4323 AR 54 2017 2 07 01 379-393 |
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Abstract This paper develops a dynamic–network DEA (data envelopment analysis) model where total output is jointly produced from two sectors: a human capital sector and a physical capital sector. Each prefecture produces a final output and an intermediate product which is used to augment future physical capital. The optimization method allows future production possibilities to be enhanced if some final output in the current period is foregone so that larger amounts of the intermediate product can be produced. The goal is to choose the amounts of final output and intermediate product so as to maximize the size of the production possibility set. The method also allows identification of whether output is constrained by a lack of physical capital, a lack of human capital or a lack of both types of capital. We apply our method to 47 Japanese prefectures during the period 2007–2009. A key finding is that a lack of human capital is constraining potential output. © Springer-Verlag Berlin Heidelberg 2017 |
abstractGer |
Abstract This paper develops a dynamic–network DEA (data envelopment analysis) model where total output is jointly produced from two sectors: a human capital sector and a physical capital sector. Each prefecture produces a final output and an intermediate product which is used to augment future physical capital. The optimization method allows future production possibilities to be enhanced if some final output in the current period is foregone so that larger amounts of the intermediate product can be produced. The goal is to choose the amounts of final output and intermediate product so as to maximize the size of the production possibility set. The method also allows identification of whether output is constrained by a lack of physical capital, a lack of human capital or a lack of both types of capital. We apply our method to 47 Japanese prefectures during the period 2007–2009. A key finding is that a lack of human capital is constraining potential output. © Springer-Verlag Berlin Heidelberg 2017 |
abstract_unstemmed |
Abstract This paper develops a dynamic–network DEA (data envelopment analysis) model where total output is jointly produced from two sectors: a human capital sector and a physical capital sector. Each prefecture produces a final output and an intermediate product which is used to augment future physical capital. The optimization method allows future production possibilities to be enhanced if some final output in the current period is foregone so that larger amounts of the intermediate product can be produced. The goal is to choose the amounts of final output and intermediate product so as to maximize the size of the production possibility set. The method also allows identification of whether output is constrained by a lack of physical capital, a lack of human capital or a lack of both types of capital. We apply our method to 47 Japanese prefectures during the period 2007–2009. A key finding is that a lack of human capital is constraining potential output. © Springer-Verlag Berlin Heidelberg 2017 |
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title_short |
Does human capital or physical capital constrain output in Japanese prefectures? |
url |
https://doi.org/10.1007/s00181-016-1202-5 |
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false |
author2 |
Hashimoto, Atsuo Tone, Kaoru Weber, William L. |
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Hashimoto, Atsuo Tone, Kaoru Weber, William L. |
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doi_str |
10.1007/s00181-016-1202-5 |
up_date |
2024-07-03T18:00:56.833Z |
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1803581817447514113 |
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