FDI Spillovers, Efficiency Change and Host Country Labor Productivity: Evidence from GCC Countries

Elmawazini, Khaled

doi:10.1007/s11293-014-9428-0

Cited by 13 publications

(11 citation statements)

References 37 publications

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“…The Human Development Index (HDI) was used to determine AC in Elmawazini (2014). According to this author, the HDI affects AC because skills can be acquired through training and professional experience, and this acquisition of skills is further supported by Thus, the countries that are able to absorb more knowledge are also those that are able to achieve higher life expectancy, higher education level and higher incomes.…”

Section: Randd Activitiesmentioning

confidence: 99%

“…Regarding the determinant Index of Economic Freedom (IEF), cited by Huebler et al (2016), it can be said that in economically free societies, governments allow labor, capital and goods to move freely, and this freedom to do business, including in technology-oriented areas, facilitates innovation and adoption of new technologies. According to Elmawazini (2014), productivity gains will be linked to the Absorptive Capacity, since innovative producers are more receptive to new technologies and, thus, are able to maximize gains and reduce costs. Thus, the TFP becomes a fundamental and determining factor for the increase in CA in developed or emerging and developing countries.…”

Section: Randd Activitiesmentioning

confidence: 99%

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Determinants of Absorptive Capacity: a systematic literature review

Silveira¹,

Ferraz

Mello³

et al. 2021

GEPROS

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Purpose – To conduct a literature review on the determinants of Absorptive Capacity (AC), which allows for productivity spillovers from Foreign Direct Investment (FDI) in developed and developing countries. Theoretical framework – This study is based on the literature indicating that before benefiting from spillovers, companies need a certain level of knowledge and expertise. Design/methodology/approach – A Systematic Literature Review (SLR) of empirical studies on AC and productivity spillovers is presented. A total of 60 articles were reviewed. Findings – The SLR revealed that human capital and R&D investments are the most frequently cited determinants of AC. R&D is especially important for developing countries. Research, Practical & Social implications – Public policies targeting R&D development may be a valuable strategy to facilitate productivity spillovers in developing countries. Originality/value – This paper analyzes the determinants of AC while verifying how both developed and developing countries can benefit from FDI, which is of great importance considering the growth of FDI in developing countries. Keywords - Foreign Direct Investment. Productivity. Spillover.

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Section: Randd Activitiesmentioning

confidence: 99%

Section: Randd Activitiesmentioning

confidence: 99%

Determinants of Absorptive Capacity: a systematic literature review

Silveira¹,

Ferraz

Mello³

et al. 2021

GEPROS

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“…However, they mostly focus on inward FDI and associated variables. Although a number of studies (Liu and Wang, 2003;Arisoy, 2012;Haskel et al, 2007;Baltabaev, 2014;and Newman et al, 2015) provide evidence for the positive effect of inward FDI on TFP, contradictory results (Fan and Hu, 2007;Murakami, 2007;Irsova and Havranek, 2013;Elmawazini, 2014;and Bitzer and Görg, 2005) were also observed. In a recent study, Herzer and Donaubauer (2017), considering the mixed results, revisited this issue for developing countries for the period 1981-2011.…”

Section: Literature Reviewmentioning

confidence: 99%

Does capital drain reduce total factor productivity growth in developing countries?

Yanıkkaya

Altum

2020

Argumenta Oeconomica

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This study investigates the effects of foreign direct investment (FDI) and royalties and licence fees (RLF) on total factor productivity (TFP) growth of about 90 countries for the period 2003-2011 for both inward and outward variables. The estimates for the full sample indicate that while inward FDI stocks have no significant impact, outward FDI stocks reduce TFP growth. While none of the RLF measures have any significant effects, imports and exports have significantly positive effects on TFP growth for the full sample. Outward FDI stocks and RLF payments are estimated to have negative effects on TFP growth for developing nations. Moreover, both RLF receipts and payments are found to have a positive effect on TFP growth in developed nations. To stimulate TFP growth further, developing nations should improve their domestic business environments and find ways to keep investments at home

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“…Several studies have developed production functions adapted using different types of variables, such as labor productivity (Feng et al, 2018;Sarbu, 2017), sustainability (Liu et al, 2016;Wei et al, 2020;Zhang et al, 2020;Chen & Golley, 2014;Husniah &Supriatna, 2016), knowledge proxies (Bhattacharya et al, 2021;Lenox and King, 2004;Hidalgo and Hausmann 2009;Elmawazini, 2014 ), and energy (Mirza et al, 2021;Olley and Pakes, 1996;Levinsohn and Petrin, 2003;Wooldridge, 2009;Ackerberg, Caves and Frazer, 2015).…”

Section: Introductionmentioning

confidence: 99%

Modelos de cálculo para a produtividade total dos fatores

Silveira

Ferraz

Mello

et al. 2023

Exacta

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Productivity measures the level of efficiency, which a particular economy uses its resources to produce goods and consumer services. Increasing productivity is the fastest route to get economic growth and social well-being since such production improvement reflects all effectiveness of the production sector, as well as the degree of development of a company. This article aims to compare four models to estimate the Total Factor Productivity (TFP). The tested models were the Olley and Pakes - OP (1996); Levinsohn and Petrin – LP (2003); Wooldridge - Wool (2009); and Ackerberg, Caves and Frazer - ACF (2015). As an intermediate input, we used the per capita energy consumption. We found that the model ACF (2015) proposes an improvement of the OP and LP models, in addition to present results with statistical meaning, the model Wool (2009) also is about an improved model of previous estimations, beyond it presented results near the same. However, the ACF model presented high dispersion around the models average. For this reason, according to our analysis, the Wool model was preferred than others.

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FDI Spillovers, Efficiency Change and Host Country Labor Productivity: Evidence from GCC Countries

Cited by 13 publications

References 37 publications

Determinants of Absorptive Capacity: a systematic literature review

Determinants of Absorptive Capacity: a systematic literature review

Does capital drain reduce total factor productivity growth in developing countries?

Modelos de cálculo para a produtividade total dos fatores

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