Innovation,networking and the new industrial clusters: the characteristics of networks and local innovation capabilities in the Turkish industrial clusters

Elaborating on the literature on industrial districts, this paper suggests that innovation and networking are the two key issues, which provide the new generation industrial clusters’ competitive capacity in the globalization process. The paper presents the findings on the innovative and networking capabilities of the three important industrial clusters of Turkey based on the data collected from the sample firms in each of these industrial clusters through in-depth interviews. The findings clearly show the importance of local and national networking as well as global linkages and confirm the positive relation between intensity of local networking and innovativeness. Moreover, the paper provides evidence that firms within global networks have higher numbers of innovations than firms with higher intensity of locally embedded linkages.     

Continuity and Change in Public Policy: Redistribution,Exclusion and State Rescaling in Turkey

This article discusses potential reasons for the continuities in the broader policy agendas of capitalist states, despite radical shifts in economic policies, by employing the state‐rescaling framework. Its main thrust is that, even though centrally designed policy programs mainly aim to give direction to the dynamics of the market economy, the institutional (re)structuring needed to operationalize such policy measures has been shaped around a politics of redistribution, a product both of the exclusionary results of past policies and the negative results of the newly introduced policy programs. This dialectical tension turns state rescaling into a political exercise in solving, and reproducing, ‘systemic crises’. The article examines the history of state rescaling in Turkey to develop these arguments.     

Prediction of bank financial strength ratings: The case of Turkey

Bank financial strength ratings have gained widespread popularity especially after the recent financial turmoil. Rating agencies were criticized because of their ratings and failure to predict the bankruptcy of the banks. Based on this observation, we investigate whether the forecast of the rating of bank's financial strength using publicly available data is consistent with those of the credit rating agency. We use the data of Turkish banks for this investigation. We take a country-specific approach because previous studies found that proxies used for environmental factors (political, economic, and financial risk of the country) did not have any explanatory power and it is hard to find international data for other important factors such as franchise value, concentration, and efficiency. We use two popular multivariate statistical techniques (multiple discriminant analysis and ordered logistic regression) to estimate a suitable model and we compare their performances with those of two mostly used data mining techniques (Support Vector Machine and Artificial Neural Network). Our results suggest that our predictions are consistent with those of Moody's financial strength rating in general.. The important factors in rating are found to be profitability (measured by return on equity), efficient use of resources, and funding the businesses and the households instead of the government that shows efficient placement of the funds.     

MANAGERIAL OWNERSHIP,TAKEOVER DEFENSES,AND DEBT FINANCING

We examine the effect of agency conflicts on debt financing and show that managerial ownership and its interaction with takeover defenses affect these decisions. We find that (1) the relation between leverage and takeover defenses becomes insignificant when we control for the interaction of these defenses with managerial ownership, and (2) firms with large managerial ownership operate at high debt levels unless they have a large number of takeover defenses. Therefore, a two‐dimensional aspect of governance that includes the interaction between managerial ownership and takeover defenses is useful in understanding the effect of agency conflicts on firms' debt financing decisions.     

The role of urbanization in the international trade of services

The article examines the effects of urbanization on the international trade of services, mainly exports and imports. A supply-side growth model is used to analyze this nexus. Panel data are constructed consisting of 64 countries for a period between 1980 and 2017. The system generalized method of moments approach is used to forecast the role of urban development on exports and imports of services. Results show that urban development generally has significant and positive effects both in exports and in imports of services, whereas in some income and population groups, the signs of coefficients are negatively significant.     

Nowcasting GDP using machine-learning algorithms: A real-time assessment

Can machine-learning algorithms help central banks understand the current state of the economy? Our results say yes! We contribute to the emerging literature on forecasting macroeconomic variables using machine-learning algorithms by testing the nowcast performance of common algorithms in a full ‘real-time’ setting—that is, with real-time vintages of New Zealand GDP growth (our target variable) and real-time vintages of around 600 predictors. Our results show that machine-learning algorithms are able to significantly improve over a simple autoregressive benchmark and a dynamic factor model. We also show that machine-learning algorithms have the potential to add value to, and in one case improve on, the official forecasts of the Reserve Bank of New Zealand.     

Inflation under the Bretton Woods system: The spillover effects of U.S. expansionary policies

This paper examines the transmission effects of U.S. expansionary policies on inflation in the G7 countries under the latter years of the Bretton Woods system. Using quarterly data and structural vector autoregressions, this paper investigates the extent of inflation variability due to U.S. aggregate supply and aggregate demand impulses in major industrial countries. Empirical results show that a sizable proportion of inflation variability in these countries can be attributed to U.S. shocks. A brief discussion follows concerning the breakdown of Bretton Woods and implications for the design and functioning of international monetary arrangements.     

Universal service in Turkey: Recent developments and a critical assessment

The meaning of universal service in telecommunications has changed considerably in the last decade. Technological advances have created the necessity to redefine the legal framework. While the demand for old universal services falls, new and wider services are to be included in the scope of legal obligations such as broadband. In this transformation of public policy toward universal services, political preferences take precedence over economic considerations. Turkey provides a good case in point. In this paper, the authors assess the legal framework of universal services and its institutional structure in Turkey. The tension between enlarging the scope of universal service and pressures on using revenues efficiently is emphasized.     

Capital accumulation and growth: a new look at the empirical evidence

Using annual data for 75 countries in the period 1960–2000, we present evidence of a positive relationship between investment as a share of gross domestic product (GDP) and the long‐run growth rate of GDP per worker. This result is robust for our full sample and for the subsample of non‐OECD countries, but not for the subsample of OECD countries. Our analysis controls for time‐invariant country‐specific heterogeneity in growth rates, and for a range of time‐varying control variables. We also address endogeneity issues, and allow for heterogeneity across countries in model parameters and for cross‐section dependence. Copyright © 2010 John Wiley & Sons, Ltd.