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ARAL, NEŞE

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ARAL

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NEŞE

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    Publication
    A spatial analysis of happiness
    (Savez Ekonomista Vojvodine, 2020-01-01) Aral, Neşe; Bakır, Hasan; ARAL, NEŞE; BAKIR, HASAN; İktisadi ve İdari Bilimler Fakültesi; Ekonometri Bölümü; 0000-0001-7599-5047; ABD-2939-2020; JEI-2603-2023
    In this study, the differences in the spatial pattern of happiness will be revealed and the distribution of the relationship between happiness and economic variables between countries will be discussed. When the distribution pattern is examined, it can be observed that happy and unhappy countries are concentrated in certain areas. Therefore, the concept of happiness has been evaluated from a geographical point of view. From the analysis of 147 countries in this study, it was found that economic freedom and GDP have a positive effect on happiness whereas inflation and unemployment have a negative effect. A striking result was that in addition to the relevant economic variables, location is also effective in the interpretation of happiness. One of the significant results of the study was that geography is a factor to consider in investigating the relationship between economic variables and happiness.
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    Publication
    Spatiotemporal pattern of COVID-19 outbreak in Turkey
    (Springer, 2022-06-16) Aral, Neşe; Bakır, Hasan; ARAL, NEŞE; BAKIR, HASAN; Sosyal Bilimler Meslek Yüksekokulu; Uluslararası Ticaret Bölümü; 0000-0001-7599-5047; 0000-0002-8248-6643; ABD-2939-2020; JEI-2603-2023
    The earliest case of Covid-19 was documented in Wuhan city of China and since then the virus has been spreading throughout the globe. The aim of this study is to evaluate the clusters of Covid-19 among the provinces in Turkey and to examine whether the clustering pattern has changed after the country's lockdown strategy. The spatial dependence of Covid-19 in 81 provinces of Turkey was examined by spatial analysis between February 8 and June 28, 2021. Global and Local Moran's I and Gi* were employed to measure the global and local spatial autocorrelation degrees. The geographical distribution of Covid-19 in the provinces of Turkey showed a strong spatial autocorrelation while the spatial structure of the clusters varied by weeks. The findings of the study show that the complete lockdown carried out in Turkey has been quite effective in mitigating Covid-19. The importance of spatial relations in preventing the spread of the disease in Turkey has also been demonstrated in this context.