Browsing by Subject "Manufacturing industries--Turkey."

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Open Access
Modelling the relationship between productivity, employment and wages in Turkish small and medium sized enterprises,1981-1998
(2001) Demirel, Görkemli
This thesis analyzes the empirical relationship between wages and productivity as well as the relationship between wages and employment in Turkish manufacturing industry. Unlike the previous studies done for manufacturing industry, in this study the size definitions of manufacturing industry, sectoral distribution and the sectoral division between public and private sector are considered. In the empirical part of the thesis, first wage and productivity and wage and employment relationships are estimated by using OLS method. After finding out both wage-productivity and wage-employment relationships are significant, descriptive growth rate comparisons are made for the period of 1981-1998. The main conclusion that emerges from both analyses is that relationship between variables of interest is valid. Wages, productivity and employment relationship have important policy implications regarding especially on Turkish small and medium sized enterprises.
Open Access
Three essays on technical efficiency in Turkish manufacturing industries
(2001) Kale, Pelin
This study includes three essays on technical efficiency in Turkish manufacturing industries during 1983-1994. The first one, presented in Chapter III, investigates the sources of inefficiency in the food, textiles, machinery, chemicals and the aggregate manufacturing industries within a stochastic frontier (SF) framework. Panel data sets with four-digit industries are used. Among possible sources of inefficiency, industry-specific structural and organizational factors are considered. Results suggest that public ownership is detrimental to technical efficiency while higher real wages or engagement in international trade enhances it. Regarding the effects of domestic competition, no common pattern emerges. The second essay, presented in Chapter IV, investigates the time pattern of technical efficiency and technological change. Parametric SF and nonparametric data envelopment analysis (DEA) techniques are applied to five panel data sets used in the first essay. Results suggest that mean efficiency increased in the chemicals industry, declined in the machinery industry and remained time-invariant in the food, textiles and the aggregate manufacturing industries. Malmquist productivity indices show that sources of productivity growth differed across industries. In the food and machinery industries, technological progress accounted for productivity improvements while the chemicals and textiles industries witnessed significant efficiency improvements. The third essay, presented in Chapter V, uses semiparametric methods to construct an efficient frontier for the aggregate manufacturing industry. The benchmark technology is estimated by kernel regressions and efficiency scores calculated by fixed effects models. Comparison of results to those from DEA and SF models suggest that semiparametric and SF models not only yield close mean efficiency estimates but also are highly consistent in ranking industries.