Browsing by Subject "Industrial productivity--Turkey."
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Item Open Access A producer survey on Turkish furniture industry(1996) Öğün, Emir PolatTurkish furniture industry has been growing steadily since the liberalization of Turkish economy in early 1980’s. However, the industry faces some technological and economical problems which affects the competitiveness of the firms in the global market. The major problems of the firms in the furniture sector is availability and quality of raw materials, and the productivity of labor. Turkish furniture manufacturers can be classified into two categories; small job-shops (workshops) and big firms. Small job-shops are scattered all over the country and their major market is domestic. Whereas big firms market their products domectically, and internationally. In this thesis we have investigasted Turkish furniture industryItem Open Access Three essays on technical efficiency in Turkish manufacturing industries(2001) Kale, PelinThis 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.