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In the contemporary era, housing sector overwhelmingly comes into prominence more than ever along with manifold triggers such as advances in construction technology, migration density from rural to urban areas, restructuring of seismic territories, urban transformation, and substantial changes in the socioeconomic structure. The creation of more efficient living areas can be enabled by paying careful attention to the underlying changes, establishing the increase on the well-being, and more specifically, interpreting the reasons for housing demand of potential consumers. In that context, this study aims to determine the factors affecting motives for the housing demand in a Turkish province, Erzurum through a questionnaire. The questionnaire addresses the potential motives for housing demand into four main categories: owner occupancy, children's occupancy, rental income, and investment planning. The cross-sectional data of the questionnaire were analyzed using the multinomial logit model. The estimation results showed that the motives for housing demand were mostly effected by occupation and age of the respondents, however several other factors were found to have a significant effect on their motives.

This study aims to investigate the relationship between financial development and economic growth in different time horizons for Turkey. In this study an ensemble of wavelet analysis and Granger causality test were used. PSC was used to represent financial development and GDP was used to represent growth. The annual data used are for the period 1961–2018. The result obtained for a one year period shows that the demand-following hypothesis is valid for Turkey. Financial development is the Granger cause of growth and positively affects growth. The financial sector should be supported for growth in the short term. While there is no causal relationship for the 2–4 year period, bidirectional causality relationships were determined for the periods of 4–8 years, 8–16 years and 16–32 years. Because variables are a Granger cause of each other and affect each other in a positive direction supporting the financial sector is a preferable policy when the purpose is to achieve growth in the long run.

Öz Ülkelerin ekonomik göstergeleri arasında olan hisse senedi piyasalarına küresel rekabet, üniversite-sanayi işbirliği, küresel inovasyon ve ekonomik büyüklük gibi faktörlerin etkisi günümüzde ilgi çeken konulardır. Çalışmada borsa endeksi (BE), küresel rekabet endeksi (RE) ve küresel rekabet endeksini oluşturan alt değişkenlerden inovasyon kapasitesi endeksi (İKE), kişi başına gayrisafi yurtiçi hâsıla (GSYH) ve araştırma geliştirme faaliyetlerinde üniversite sanayi işbirliği endeksi (ÜSİE) değişkenleri kullanılmıştır. Analizler G20 ülkelerine ait olan 2007-2017 yılları arası panel veri seti ile gerçekleştirilmiştir. Westerlund Eşbütünleşme Testi sonuçlarına göre BE ile RE arasında uzun dönem ilişki söz konusu değildir. Panel ARDL modeli sonuçlarına göre ise BE ile İKE, ÜSİE ve GSYH arasında uzun dönem ilişki tespit edilmiştir. Analiz sonuçları, dışsal şokların yani olağandışı durumların etkisinin bir dönemde yaklaşık %71'inin hata düzeltme mekanizması ile ortadan kalktığını göstermektedir. Bu değişkenlerin tamamı uzun dönemde BE'ni olumlu etkilemektedir. En fazla etki ise ÜSİE için elde edilmiştir. Üniversitede üretilen bilimin topluma yansıtılmasının ve sanayide kullanılmasının ülke ekonomisi üzerinde olumlu etkileri bulunmaktadır.

The concept of trade has emerged with the inter-business division of labor. The internet, which is a much more recent concept than trade, has begun to get closer over time. The reason why trade is to see the internet as a commercial tool lies in the fact that the internet is spread over a wide mass network. The aim of this study is to determine socio-economic and demographic factors that are effective in purchasing or ordering goods and services by internet in Turkey. It was found that the number of information equipment, income, being male, working, and education increased the probability of shopping over the internet. It was determined that household size and age decreased. Females shop for clothing and sports goods more than males. The highest correlation with the purchase of other product groups over the internet is through holiday accommodation and other travel-related transactions.

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Bu makale, en az iki hakem tarafından incelenmiş ve intihal içermediği teyit edilmiştir. / This article has been reviewed by at least two referees and confirmed to include no plagiarism.