Dynamic technological learning trends in Turkish manufacturing industries

Efficient development of industries requires a broad range of technological capabilities which can be acquired only by a long process of learning. Continuous measuring and monitoring of the ever-changing technological learning would be useful for building technological capability and managing technological policies. Nevertheless, research on how to measure the technological learning over time at macro levels remains largely untouched. In this paper, by adding the experience curve into the multifactor productivity part of Neoclassical production function, we will develop a model which will allow one to estimate the technological learning levels over long periods. This model would allow a user to both estimate the past learning experiences and forecast its future path on a time varying basis. The model has been used and tested in the estimation of the annual technological learning values for 28 Turkish manufacturing industries from 1981 to 2000.     

Resource concentration,institutional quality and the natural resource curse

Employing panel data from 14 regions in Kazakhstan, this investigation aims to discover the effect of energy (point-source) and agricultural (diffuse) resource abundance on economic growth through institutional quality. A fixed effects panel data model and Roger's standard errors model are used to consider the possible endogeneity problem. Kazakhstan has two major export products, oil (point-source) and wheat (diffuse), and in theory these two products have different impacts on growth. Auty (1997), Woolcock et al. (2001) and Isham et al. (2005) found that it is the composition of resources, rather than any kind of natural resource, which is problematic for economic growth. The novelty of this research is that the natural resource endowments are considered as a nonlinear function of institutional quality. In contrast to others, we observe that it is not the type of natural resources that breeds economic failure, but rather their “overabundant” or excess production that is often associated with rent-seeking activities.     

Estimating the Degree of Market Integration

Existing tests of spatial market integration are commonly based on statistical criteria without an explicit link to an economic model of price determination. This article proposes new measures of market integration defined directly in terms of a well-known spatial price determination model and develops an econometric methodology for estimating these measures. Due to the intractability of the conditional density function of prices, we use indirect inference to estimate the model parameters and market integration measures. The methodology is illustrated with simulated data and is applied to soybean price data for the United States, Brazil, and the EU.     

Structural changes in exports of an emerging economy: Case of Turkey

This paper indicates that Turkish exports are subject to structural changes as Turkey integrates into global production networks. Integration, which leads vertical specialization in production and changes in the commodity composition of Turkish exports in favor of non-traditional commodities, paces up during economic reform periods. As the export shares of non-traditional commodities, which have higher import and income sensitivity but lower real exchange rate elasticity, increases, coefficients of the aggregate export function change accordingly. Nevertheless, high import and income elasticity of exports imply that the global growth pattern plays a significant role in determining exports of Turkey.