Technology and Productivity in African Manufacturing Firms
We find that heterogeneity in production functions is an important source of variation in firm outcomes in Africa, and we find it is more important than education or productivity in explaining differences in output per worker. There is some technological diversity within Africa, with more dependence...
Ausführliche Beschreibung
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Baptist, Simon [verfasserIn] |
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Englisch |
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2014transfer abstract |
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13 |
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Enthalten in: Trends in Emergency Department Visits for Unsupervised Pediatric Medication Exposures - Lovegrove, Maribeth C. ELSEVIER, 2023, the multi-disciplinary international journal devoted to the study and promotion of world development, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:64 ; year:2014 ; pages:713-725 ; extent:13 |
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DOI / URN: |
10.1016/j.worlddev.2014.07.004 |
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ELV033874808 |
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10.1016/j.worlddev.2014.07.004 doi GBVA2014010000006.pica (DE-627)ELV033874808 (ELSEVIER)S0305-750X(14)00206-X DE-627 ger DE-627 rakwb eng 300 330 300 DE-600 330 DE-600 610 VZ 44.11 bkl Baptist, Simon verfasserin aut Technology and Productivity in African Manufacturing Firms 2014transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We find that heterogeneity in production functions is an important source of variation in firm outcomes in Africa, and we find it is more important than education or productivity in explaining differences in output per worker. There is some technological diversity within Africa, with more dependence on raw materials in poor countries and higher returns to education in richer countries. This suggests that parameter evolution is an important element of modeling the nature of technical change, and that development policy should consider technological change as a mechanism to increase growth as well as augmenting factor stocks or total factor productivity. We find that heterogeneity in production functions is an important source of variation in firm outcomes in Africa, and we find it is more important than education or productivity in explaining differences in output per worker. There is some technological diversity within Africa, with more dependence on raw materials in poor countries and higher returns to education in richer countries. This suggests that parameter evolution is an important element of modeling the nature of technical change, and that development policy should consider technological change as a mechanism to increase growth as well as augmenting factor stocks or total factor productivity. productivity Elsevier Africa Elsevier manufacturing Elsevier Ghana Elsevier firms Elsevier technology Elsevier Teal, Francis oth Enthalten in Elsevier Science Lovegrove, Maribeth C. ELSEVIER Trends in Emergency Department Visits for Unsupervised Pediatric Medication Exposures 2023 the multi-disciplinary international journal devoted to the study and promotion of world development Amsterdam [u.a.] (DE-627)ELV009777717 volume:64 year:2014 pages:713-725 extent:13 https://doi.org/10.1016/j.worlddev.2014.07.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.11 Präventivmedizin VZ AR 64 2014 713-725 13 045F 300 |
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10.1016/j.worlddev.2014.07.004 doi GBVA2014010000006.pica (DE-627)ELV033874808 (ELSEVIER)S0305-750X(14)00206-X DE-627 ger DE-627 rakwb eng 300 330 300 DE-600 330 DE-600 610 VZ 44.11 bkl Baptist, Simon verfasserin aut Technology and Productivity in African Manufacturing Firms 2014transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We find that heterogeneity in production functions is an important source of variation in firm outcomes in Africa, and we find it is more important than education or productivity in explaining differences in output per worker. There is some technological diversity within Africa, with more dependence on raw materials in poor countries and higher returns to education in richer countries. This suggests that parameter evolution is an important element of modeling the nature of technical change, and that development policy should consider technological change as a mechanism to increase growth as well as augmenting factor stocks or total factor productivity. We find that heterogeneity in production functions is an important source of variation in firm outcomes in Africa, and we find it is more important than education or productivity in explaining differences in output per worker. There is some technological diversity within Africa, with more dependence on raw materials in poor countries and higher returns to education in richer countries. This suggests that parameter evolution is an important element of modeling the nature of technical change, and that development policy should consider technological change as a mechanism to increase growth as well as augmenting factor stocks or total factor productivity. productivity Elsevier Africa Elsevier manufacturing Elsevier Ghana Elsevier firms Elsevier technology Elsevier Teal, Francis oth Enthalten in Elsevier Science Lovegrove, Maribeth C. ELSEVIER Trends in Emergency Department Visits for Unsupervised Pediatric Medication Exposures 2023 the multi-disciplinary international journal devoted to the study and promotion of world development Amsterdam [u.a.] (DE-627)ELV009777717 volume:64 year:2014 pages:713-725 extent:13 https://doi.org/10.1016/j.worlddev.2014.07.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.11 Präventivmedizin VZ AR 64 2014 713-725 13 045F 300 |
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10.1016/j.worlddev.2014.07.004 doi GBVA2014010000006.pica (DE-627)ELV033874808 (ELSEVIER)S0305-750X(14)00206-X DE-627 ger DE-627 rakwb eng 300 330 300 DE-600 330 DE-600 610 VZ 44.11 bkl Baptist, Simon verfasserin aut Technology and Productivity in African Manufacturing Firms 2014transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We find that heterogeneity in production functions is an important source of variation in firm outcomes in Africa, and we find it is more important than education or productivity in explaining differences in output per worker. There is some technological diversity within Africa, with more dependence on raw materials in poor countries and higher returns to education in richer countries. This suggests that parameter evolution is an important element of modeling the nature of technical change, and that development policy should consider technological change as a mechanism to increase growth as well as augmenting factor stocks or total factor productivity. We find that heterogeneity in production functions is an important source of variation in firm outcomes in Africa, and we find it is more important than education or productivity in explaining differences in output per worker. There is some technological diversity within Africa, with more dependence on raw materials in poor countries and higher returns to education in richer countries. This suggests that parameter evolution is an important element of modeling the nature of technical change, and that development policy should consider technological change as a mechanism to increase growth as well as augmenting factor stocks or total factor productivity. productivity Elsevier Africa Elsevier manufacturing Elsevier Ghana Elsevier firms Elsevier technology Elsevier Teal, Francis oth Enthalten in Elsevier Science Lovegrove, Maribeth C. ELSEVIER Trends in Emergency Department Visits for Unsupervised Pediatric Medication Exposures 2023 the multi-disciplinary international journal devoted to the study and promotion of world development Amsterdam [u.a.] (DE-627)ELV009777717 volume:64 year:2014 pages:713-725 extent:13 https://doi.org/10.1016/j.worlddev.2014.07.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.11 Präventivmedizin VZ AR 64 2014 713-725 13 045F 300 |
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10.1016/j.worlddev.2014.07.004 doi GBVA2014010000006.pica (DE-627)ELV033874808 (ELSEVIER)S0305-750X(14)00206-X DE-627 ger DE-627 rakwb eng 300 330 300 DE-600 330 DE-600 610 VZ 44.11 bkl Baptist, Simon verfasserin aut Technology and Productivity in African Manufacturing Firms 2014transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We find that heterogeneity in production functions is an important source of variation in firm outcomes in Africa, and we find it is more important than education or productivity in explaining differences in output per worker. There is some technological diversity within Africa, with more dependence on raw materials in poor countries and higher returns to education in richer countries. This suggests that parameter evolution is an important element of modeling the nature of technical change, and that development policy should consider technological change as a mechanism to increase growth as well as augmenting factor stocks or total factor productivity. We find that heterogeneity in production functions is an important source of variation in firm outcomes in Africa, and we find it is more important than education or productivity in explaining differences in output per worker. There is some technological diversity within Africa, with more dependence on raw materials in poor countries and higher returns to education in richer countries. This suggests that parameter evolution is an important element of modeling the nature of technical change, and that development policy should consider technological change as a mechanism to increase growth as well as augmenting factor stocks or total factor productivity. productivity Elsevier Africa Elsevier manufacturing Elsevier Ghana Elsevier firms Elsevier technology Elsevier Teal, Francis oth Enthalten in Elsevier Science Lovegrove, Maribeth C. ELSEVIER Trends in Emergency Department Visits for Unsupervised Pediatric Medication Exposures 2023 the multi-disciplinary international journal devoted to the study and promotion of world development Amsterdam [u.a.] (DE-627)ELV009777717 volume:64 year:2014 pages:713-725 extent:13 https://doi.org/10.1016/j.worlddev.2014.07.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.11 Präventivmedizin VZ AR 64 2014 713-725 13 045F 300 |
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We find that heterogeneity in production functions is an important source of variation in firm outcomes in Africa, and we find it is more important than education or productivity in explaining differences in output per worker. There is some technological diversity within Africa, with more dependence on raw materials in poor countries and higher returns to education in richer countries. This suggests that parameter evolution is an important element of modeling the nature of technical change, and that development policy should consider technological change as a mechanism to increase growth as well as augmenting factor stocks or total factor productivity. |
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We find that heterogeneity in production functions is an important source of variation in firm outcomes in Africa, and we find it is more important than education or productivity in explaining differences in output per worker. There is some technological diversity within Africa, with more dependence on raw materials in poor countries and higher returns to education in richer countries. This suggests that parameter evolution is an important element of modeling the nature of technical change, and that development policy should consider technological change as a mechanism to increase growth as well as augmenting factor stocks or total factor productivity. |
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We find that heterogeneity in production functions is an important source of variation in firm outcomes in Africa, and we find it is more important than education or productivity in explaining differences in output per worker. There is some technological diversity within Africa, with more dependence on raw materials in poor countries and higher returns to education in richer countries. This suggests that parameter evolution is an important element of modeling the nature of technical change, and that development policy should consider technological change as a mechanism to increase growth as well as augmenting factor stocks or total factor productivity. |
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10.1016/j.worlddev.2014.07.004 |
up_date |
2024-07-06T19:41:57.023Z |
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7.399618 |