Measuring International Migration in Azerbaijan

Yüksel, Serhat; Mukhtarov, Shahriyar; Mahmudlu, Ceyhun; Mikayilov, Jeyhun I.; Iskandarov, Anar

doi:10.3390/su10010132

Cited by 22 publications

(13 citation statements)

References 45 publications

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“…Yüksel et al (2018) also found Inflation and Unemployment Rate variables to be I(0) as a result of Phillips-Perron (PP) and Augmented Dickey Fuller (ADF) test.…”

mentioning

confidence: 96%

Factors that increase credit risk of Azerbaijani banks

Mukhtarov

Yüksel

Mammadov

2018

Journal of International Studies

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The main purpose of this paper is to analyze the influencing factors behind credit risks in Azerbaijani banks. Within this scope, we analyzed 10 biggest banks of Azerbaijan with respect to their asset size. Furthermore, 10 explanatory variables were used to achieve this objective. Annual data for the period between 2010 and 2015 was tested using the panel logit methodology. According to the results of our analysis, it was defined that 4 independent variables affect credit risk of Azerbaijani banks. It was also determined that decrease in the capital adequacy ratio, interest rate and total assets leads to increasing credit risk. We have also identified that there is a positive relationship between unemployment rate and the credit risk of Azerbaijani banks. Therefore, it can be stated that Azerbaijani banks should increase their capital adequacy ratio and total assets amount in order to minimize the negative effects from the credit risk problem.

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“…Yüksel et al (2018) also found Inflation and Unemployment Rate variables to be I(0) as a result of Phillips-Perron (PP) and Augmented Dickey Fuller (ADF) test.…”

mentioning

confidence: 96%

Factors that increase credit risk of Azerbaijani banks

Mukhtarov

Yüksel

Mammadov

2018

Journal of International Studies

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“…On the other hand, the main difference of the MARS method from regression analysis is that there is no single linear line. In this approach, several different linear lines are combined with node points (Yüksel et al, 2018). Equation ( 1) includes the details of the MARS model.…”

Section: Multivariate Adaptive Regression (Mars) Methodologymentioning

confidence: 99%

Türkiye'de Yenilenebilir Enerji Tüketimini Etkileyen Faktörlerinin MARS Metodolojisi İle Belirlenmesi

Yüksel¹,

Ubay²

2020

Ekonomi İşletme Ve Maliye Araştırmaları Dergisi

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The aim of this study is to determine the factors affecting the renewable energy consumption in Turkey. In this context, firstly, similar studies in the literature have been examined. As a result of the investigation, 11 different variables have been identified that may affect the use of renewable energy. Annual data of the mentioned variables in the period of 1990-2018 are taken into consideration. On the other hand, MARS method is used in the analysis process of the study. As a result, it has been determined that renewable energy use increases when the population in the country goes up. As can be seen from here, with the increasing population, the demand for energy has also increased. As a result, renewable energy has started to be used more. In addition, it is also determined that the increase in natural gas prices leads to higher consumption of renewable energy. In the event that natural gas becomes more expensive, it is understood that people are turning to other alternatives. The loan amount in the country is another factor that has an impact on renewable energy consumption. In case the loan amount exceeds a certain rate, it is seen that these loans are concentrated on non-renewable energy sources. In addition, it has been determined that there is a negative relationship between carbon emissions in the country and renewable energy use. It can be understood that renewable energy usage can be increased mainly because of the obligatory reasons, such as higher demand for energy and natural gas prices increase. This indicates that no sufficient consciousness is formed in Turkey for renewable energy. Therefore, it is important to provide the necessary incentives such as tax advantage by the state to make renewable energy use more attractive.

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“…MARS model is a very new approach in the literature. Thus, there are few studies by using this approach in social sciences (Tunay 2001;Yüksel, 2016a;Oktar and Yüksel, 2016;Tunay, 2011;Yüksel and Özsarı, 2017;Kartal et al, 2018;Yüksel, 2016b;Oktar and Yüksel, 2015;Yüksel et al, 2018;Dinçer et al, 2018b;Tunay, 2010;Yüksel and Zengin, 2017;.…”

Section: Multivariate Adaptive Regression Spline (Mars) Methodsmentioning

confidence: 99%

A Historical Analysis of The Economic Development of The USA (1947-2017)

Uzunkaya

Dınçer

Yüksel

2019

MANAS Sosyal Araştırmalar Dergisi

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The aim of this study is to evaluate economic improvement of the USA. For this purpose, the quarterly data for the periods between 1947 and 2017 is taken into the consideration. Therefore, focusing on this long period provides a historical view so that more appropriate results can be achieved. Moreover, economic growth of the USA is considered as dependent variable whereas four different subtitles of GDP (consumption, private investment, government expenditure and net export) are selected as independent variables. Furthermore, multivariate adoptive regression spline (MARS) methodology is used in the analysis process. The findings show that private investment, government expenditure and net export have a positive relationship between economic growth. It is identified that the positive effect reduces when the percentage of government expenditure exceeds 22.2%. On the other side, in case of negative net export and having lower investment ratio than 16.3%, economic development of US will be affected negatively. These results give very important information that instead of consumption, other three subtitles of GDP make a contribution to the economic development of US. By considering these results, it is recommended that US should mainly implement growth strategies by focusing on private investment and net export. Within this framework, tax advantages for these investors can be provided to reach this objective. In addition to this condition, government should also give incentives to improve industrial production so that investment and export can be increased.

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Measuring International Migration in Azerbaijan

Cited by 22 publications

References 45 publications

Factors that increase credit risk of Azerbaijani banks

Factors that increase credit risk of Azerbaijani banks

Türkiye'de Yenilenebilir Enerji Tüketimini Etkileyen Faktörlerinin MARS Metodolojisi İle Belirlenmesi

A Historical Analysis of The Economic Development of The USA (1947-2017)

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