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A hierarchical clustering based panel data approach: a case study of regional incentives

Fatma Altuntaş

The main objective of this research is to propose a novel approach based on panel data analysis and hierarchical cluster analysis to investigate the determinants of foreign trade deficit and cluster provinces of Turkey. This study has two important contributions into the existing literature. First, the proposed approach uses provinces based panel data. Second, the proposed approach uses structural factors as explanatory variables. The estimates show that the number of patent, trademark, and design granted, the number of incentive documents prepared, fixed investments and employment correspondi ...Daha fazlası

Erişime Açık

Social network analysis of tourism data : a case study of quarantine decisions in COVID-19 pandemic”, International Journal of Information Management Data Insights

Fatma Altuntaş

Tourism is one of the most affected sector during the COVID-19 pandemic all over the world. Quarantine decisions are the leading measures taken in practice to reduce possible negative consequences of the COVID-19 pandemic. There is limited work in the literature on how to make the right quarantine decisions in a pandemic. Therefore, the aim of this study is to propose the use of social network analysis (SNA) based on tourism data to make the right quarantine decisions in the COVID-19 pandemic. A case study on quarantine decision is conducted based on data obtained from Turkish Statistical Inst ...Daha fazlası

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