Tripartite decomposition of labor productivity growth, FDI and human development: evidence from transition economies
This study investigates the relative contribution of technological change, technological catch-up and capital deepening as drivers of labor productivity growth in 14 transition economies during the period 2000–2012. In addition, the study extends the usual decomposition of labor productivity growth...
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| Veröffentlicht in: | Economic change and restructuring 2018-05, Vol.51 (2), p.153-171 |
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| creator | Elmawazini, Khaled Saleeby, Elias G. Ibn el Farouk, Ahmed AL-Naser, Bashayer |
| description | This study investigates the relative contribution of technological change, technological catch-up and capital deepening as drivers of labor productivity growth in 14 transition economies during the period 2000–2012. In addition, the study extends the usual decomposition of labor productivity growth by encompassing the impact of foreign direct investment (FDI) on labor productivity growth in transition economies. To illustrate the relative contribution of FDI as a driver of labor productivity growth, we present a simple theoretical model that augments Kohli [Labour productivity vs. total factor productivity. IFC Bulletin 20 (April), Irving Fisher Committee on Central Bank Statistics, International Statistical Institute,
2005
] and Grosskopf et al. (Aggregation, efficiency, and measurement, Springer, New York, pp 97–116,
2007
) decomposition of the labor productivity. The insights derived in this model provide an underpinning to the empirical analysis in this study. Using Blundell–Bond dynamic panel General Method of Moments estimators, the main finding of dynamic panel data regressions shows that technological catch-up, technological change, and human development level, trade and demographic of population ageing are the main factors that affect labor productivity growth in transition countries. Furthermore, the findings of dynamic panel data regressions show insignificant positive impact of FDI on productivity growth in transition economies. One explanation is that the 14 transition economies that are included in this study do not reach a minimum human development threshold level. |
| doi_str_mv | 10.1007/s10644-016-9197-7 |
| format | Article |
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2005
] and Grosskopf et al. (Aggregation, efficiency, and measurement, Springer, New York, pp 97–116,
2007
) decomposition of the labor productivity. The insights derived in this model provide an underpinning to the empirical analysis in this study. Using Blundell–Bond dynamic panel General Method of Moments estimators, the main finding of dynamic panel data regressions shows that technological catch-up, technological change, and human development level, trade and demographic of population ageing are the main factors that affect labor productivity growth in transition countries. Furthermore, the findings of dynamic panel data regressions show insignificant positive impact of FDI on productivity growth in transition economies. One explanation is that the 14 transition economies that are included in this study do not reach a minimum human development threshold level.</description><identifier>ISSN: 1573-9414</identifier><identifier>EISSN: 1574-0277</identifier><identifier>DOI: 10.1007/s10644-016-9197-7</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Aging ; Central banks ; Change agents ; Decomposition ; Development Economics ; Economic Growth ; Economic models ; Economic Policy ; Economics ; Economics and Finance ; Foreign investment ; Human development ; International Economics ; Labor productivity ; Macroeconomics/Monetary Economics//Financial Economics ; Measurement ; Panel data ; Political Economy/Economic Systems ; Productivity ; Technological change ; Transition economies</subject><ispartof>Economic change and restructuring, 2018-05, Vol.51 (2), p.153-171</ispartof><rights>Springer Science+Business Media New York 2016</rights><rights>Economic Change and Restructuring is a copyright of Springer, (2016). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-e532310e961d6b0f666baad6447670306ee645c9b7d5b2bd7a4f07dc9901c8e3</citedby><cites>FETCH-LOGICAL-c381t-e532310e961d6b0f666baad6447670306ee645c9b7d5b2bd7a4f07dc9901c8e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10644-016-9197-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10644-016-9197-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Elmawazini, Khaled</creatorcontrib><creatorcontrib>Saleeby, Elias G.</creatorcontrib><creatorcontrib>Ibn el Farouk, Ahmed</creatorcontrib><creatorcontrib>AL-Naser, Bashayer</creatorcontrib><title>Tripartite decomposition of labor productivity growth, FDI and human development: evidence from transition economies</title><title>Economic change and restructuring</title><addtitle>Econ Change Restruct</addtitle><description>This study investigates the relative contribution of technological change, technological catch-up and capital deepening as drivers of labor productivity growth in 14 transition economies during the period 2000–2012. In addition, the study extends the usual decomposition of labor productivity growth by encompassing the impact of foreign direct investment (FDI) on labor productivity growth in transition economies. To illustrate the relative contribution of FDI as a driver of labor productivity growth, we present a simple theoretical model that augments Kohli [Labour productivity vs. total factor productivity. IFC Bulletin 20 (April), Irving Fisher Committee on Central Bank Statistics, International Statistical Institute,
2005
] and Grosskopf et al. (Aggregation, efficiency, and measurement, Springer, New York, pp 97–116,
2007
) decomposition of the labor productivity. The insights derived in this model provide an underpinning to the empirical analysis in this study. Using Blundell–Bond dynamic panel General Method of Moments estimators, the main finding of dynamic panel data regressions shows that technological catch-up, technological change, and human development level, trade and demographic of population ageing are the main factors that affect labor productivity growth in transition countries. Furthermore, the findings of dynamic panel data regressions show insignificant positive impact of FDI on productivity growth in transition economies. 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In addition, the study extends the usual decomposition of labor productivity growth by encompassing the impact of foreign direct investment (FDI) on labor productivity growth in transition economies. To illustrate the relative contribution of FDI as a driver of labor productivity growth, we present a simple theoretical model that augments Kohli [Labour productivity vs. total factor productivity. IFC Bulletin 20 (April), Irving Fisher Committee on Central Bank Statistics, International Statistical Institute,
2005
] and Grosskopf et al. (Aggregation, efficiency, and measurement, Springer, New York, pp 97–116,
2007
) decomposition of the labor productivity. The insights derived in this model provide an underpinning to the empirical analysis in this study. Using Blundell–Bond dynamic panel General Method of Moments estimators, the main finding of dynamic panel data regressions shows that technological catch-up, technological change, and human development level, trade and demographic of population ageing are the main factors that affect labor productivity growth in transition countries. Furthermore, the findings of dynamic panel data regressions show insignificant positive impact of FDI on productivity growth in transition economies. One explanation is that the 14 transition economies that are included in this study do not reach a minimum human development threshold level.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10644-016-9197-7</doi><tpages>19</tpages></addata></record> |
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| ispartof | Economic change and restructuring, 2018-05, Vol.51 (2), p.153-171 |
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| subjects | Aging Central banks Change agents Decomposition Development Economics Economic Growth Economic models Economic Policy Economics Economics and Finance Foreign investment Human development International Economics Labor productivity Macroeconomics/Monetary Economics//Financial Economics Measurement Panel data Political Economy/Economic Systems Productivity Technological change Transition economies |
| title | Tripartite decomposition of labor productivity growth, FDI and human development: evidence from transition economies |
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