The role of human capital in the private manufacturing sector productivity in the developing and transition economies.
Degree: phd, Faculty of Management, 2018, Bournemouth University
This thesis principally seeks to provide empirical examination of the contribution of human capital, particularly in the form of education, to productivity at the micor level, through the lens of human capital and production theories, for a pooled sample of countries from the Middle East and North Africa (MENA), in comparison with both the Eastern Europe and Central Asia countries (ECA). This research mainly aims to establish substantive empirical evidence on the varying effects of human capital on growth, across regions. It also aims to investigate the role of human capital investment in the productivity gains, mainly through efficiency and labour productivity, in the formal private manufacturing sector, in the aforementioned regions. The thesis takes into account the variations in per capita income levels, based on the World Bank classifications of countries by income group. In addition, this research recognises and takes into account the heterogeneity which exists throughout the selected sample of countries. The main objective of evaluating the impact of human capital is to untangle the existing differences in the firms’ performance, partly on account of employing different workers with varying levels of education, with distinctive regional socio-economic changes, and different political conditions. The stochastic frontier analysis (SFA), as a fully parameterised model is used, in order to address and examine the determinants affecting production efficiencies, especially from a human capital point of view, and in the light of Vandenbussche, Aghion, and Meghir’s 2006 assumptions, on growth, distance to frontier, and composition of human capital, which remains untested in MENA and ECA at the firm-level. The SFA was applied following the approach of Caudill, Ford, and Gropper (1995) (CFG) by estimating and testing stochastic frontier production functions, assuming the presence of heteroscedasticity in the one-sided error term (inefficiency), and by following the approaches of Hadri (1999) for cross sectional data assuming the existence of heteroscedasticity in both error terms (the one-sided inefficiency term and the two-sided symmetric random noise), in order to obtain more accurate measures of technical efficiency. However, the rationale for this choice of the two different regions, is the heterogenous organisational structures, and the dissimilarities between production functions across economies in different developmental phases, which can be used as a suitable platform for analysing the distinctive effects of human capital composition on efficiency, and growth in each region in comparison with the other. In addition, the applied methodology also involves the incorporation of two matching methods consisting of a completely randomised experimental design, propensity score matching (PSM), and a fully blocked experimental design, Mahalanobis distance matching (MDM), using a cross-sectional firm level dataset, in order to examine the causal effects of formal training on productivity in MENA, and in ECA. The main…
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APA (6th Edition):
Gheit, S. (2018). The role of human capital in the private manufacturing sector productivity in the developing and transition economies. (Doctoral Dissertation). Bournemouth University. Retrieved from http://eprints.bournemouth.ac.uk/31384/
Chicago Manual of Style (16th Edition):
Gheit, Salem. “The role of human capital in the private manufacturing sector productivity in the developing and transition economies.” 2018. Doctoral Dissertation, Bournemouth University. Accessed December 19, 2018.
MLA Handbook (7th Edition):
Gheit, Salem. “The role of human capital in the private manufacturing sector productivity in the developing and transition economies.” 2018. Web. 19 Dec 2018.
Gheit S. The role of human capital in the private manufacturing sector productivity in the developing and transition economies. [Internet] [Doctoral dissertation]. Bournemouth University; 2018. [cited 2018 Dec 19].
Available from: http://eprints.bournemouth.ac.uk/31384/.
Council of Science Editors:
Gheit S. The role of human capital in the private manufacturing sector productivity in the developing and transition economies. [Doctoral Dissertation]. Bournemouth University; 2018. Available from: http://eprints.bournemouth.ac.uk/31384/