Like many developing countries, Turkey has also given priority to the development of tourism industry as a part of its economic growth strategy. This study intends to investigate whether tourism has really contributed to the economic growth in Turkey. The interaction between tourism and economic growth is investigated by making use of leveraged bootstrap causality tests. This method is robust to the existence of non-normality and ARCH effects. Special attention is given to the choice of the optimal lag order of the empirical model. It is found that the tourism-led growth hypothesis is supported empirically in the case of Turkey.

This study delineates overall financial characteristics of the Turkish non-financial firms listed in the Istanbul Stock Exchange across a variety of ownership variables. It essentially compares the performance of affiliates of diversified Turkish business groups with that of unaffiliated firms. The article notes that firms affiliated with diversified Turkish business groups do not differ significantly from unaffiliated firms in terms of accounting and stock market measures of performance. The findings also indicate that the performance measures of family-owned firms are not significantly different from those of non-family-owned firms. Results also suggest that foreign-owned firms perform significantly better in terms of return on assets than domestic firms, but not in terms of other performance measures.

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PurposeThis paper aims to examine the convergence pattern of residential house prices in a panel of 55 major cities in Turkey over the period between 2010 and 2018 and to investigate the determinants of convergence club formations.Design/methodology/approachThe authors applied the log t-test to identify the convergence clubs and estimated ordered logit model to determine the key drivers.FindingsThe results suggest that there are five convergence clubs and confirm the heterogeneity of the Turkish housing market. Istanbul, the commercial capital, and Mugla, an attractive tourist destination, are at the top of the housing market and followed by the cities located in the western part, particularly along the Aegean and Mediterranean coasts of Turkey. Moreover, the ordered logit model results point out that the differences in employment rate, climate, population density and having a metropolitan municipality play a significant role in determining convergence club membership.Practical implicationsLarge-scale policy measures aiming to increase employment opportunities in rural cities of central and eastern provinces and providing lower land prices and property taxes in the metropolitan cities of Turkey can help mitigate some of the divergence in the house prices across cities.Originality/valueThe novelty of this study lies in employing a new data set at the city level containing 55 cities in Turkey, which is by far the largest in terms of city coverage among emerging market economies to implement the log t-test. It also contributes to the literature on city-specific determinants of convergence club formation in the case of an emerging economy.