Template-Type: ReDIF-Article 1.0 Author-Name: Murat Taha BİLİŞİK Author-Email: m.bilisik@iku.edu.tr Author-Workplace-Name: İstanbul Kültür Üniversitesi Title: SUPPLY CHAIN RISK MANAGEMENT: A SURVEY STUDY ON CLASSIFICATION OF RISKS Abstract: Supply chain risk management (SCRM) is crucial for a long-term profitable, competitive and sustainable supply chain. Since defining, classifying and prioritizing risks within the scope of SCRM is an important issue in terms of both supply chain and business performance, the study has aimed to offer a road map for the companies which includes identification of the risks that companies operating in the manufacturing sector may encounter in their supply chains, calculation of risk points consisting of probability and impact values of identified risks and prioritization of risks. Using the survey method, data were collected on the probability and impact of the risks that enterprises may encounter in their supply chains. SPSS and AMOS programs were used for the validity and reliability calculations of the measurement model and as a result, risk groups have been listed by calculating probability, impact and significance scores for each risk element. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 1-18 Volume: 18 Issue: 18 Year: 2021 Month: Feb DOI: 10.17740/eas.stat.2021-V18-01 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/1017 File-Format: Application/pdf Handle: RePEc:eas:econst:v:18:y:2021:i:18:p:1-18 Template-Type: ReDIF-Article 1.0 Author-Name: K. Batu TUNAY Author-Email: batu.tunay@marmara.edu.tr Author-Workplace-Name: Marmara Üniversitesi Author-Name: Necla TUNAY Author-Email: necla.tunay@marmara.edu.tr Author-Workplace-Name: Marmara Üniversitesi Title: MACROECONOMIC RESPONSES OF EMERGING ECONOMIES TO OIL SHOCKS Abstract: In this study, the macroeconomic effects of oil shocks in emerging economies that are foreign dependence in oil and in the middle upper income group are examined. China, Indonesia, South Africa and Turkey consisting of a sample has been analyzing during the 1999-2019 period and annual data are used in the analyses. In the analysis made with the Panel SVAR method, the reactions of economic growth, inflation rate, budget balance change rate and current account balance change rate to the oil price shock were investigated. The findings show that international oil price shocks trigger macroeconomic shocks in emerging economies and may have deep and lasting effects due to strong interactions between the basic macroeconomic variables. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 19-32 Volume: 18 Issue: 18 Year: 2021 Month: Feb DOI: 10.17740/eas.stat.2021-V18-02 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/1018 File-Format: Application/pdf Handle: RePEc:eas:econst:v:18:y:2021:i:18:p:19-32 Template-Type: ReDIF-Article 1.0 Author-Name: Şebnem ZORLUTUNA Author-Email: szorlutuna@cumhuriyet.edu.tr Author-Workplace-Name: Sivas Cumhuriyet Üniversitesi Author-Name: Ziya Gökalp GÖKTOLGA Author-Email: goktolga@cumhuriyet.edu.tr Author-Workplace-Name: Sivas Cumhuriyet Üniversitesi Title: INVESTIGATION OF THE FACTORS AFFECTING LUNG CANCER WITH COX REGRESSION ANALYSIS: SIVAS CITY CASE Abstract: According to the data from World Cancer Research Fund (WCRF), the most common cancer type in the world was lung cancer in 2018. Worldwide, 2 million 93 thousand people have been diagnosed with lung cancer. Lung cancer, with the highest mortality rate, ranks first among the other cancer types. However, early diagnosis and knowing the factors affecting treatment generally increases the chance of successfully treating of the disease. In this study, the survival rates and factors affecting average survival times is determined by applying survival analysis to the data obtained from 570 lung cancer patients observed by the Oncology Center of Sivas Cumhuriyet University Medical Faculty Research and Application Hospital. The 1, 5 and 10-year survival rates are found as 55%, 9% and 2%, respectively. The factors affecting survival rate were determined as the patient's age, pathology and stage of the disease. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 33-43 Volume: 18 Issue: 18 Year: 2021 Month: Feb DOI: 10.17740/eas.stat.2021â€�V18â€�03 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/1019 File-Format: Application/pdf Handle: RePEc:eas:econst:v:18:y:2021:i:18:p:33-43 Template-Type: ReDIF-Article 1.0 Author-Name: Gizem KAYİŞOĞLU Author-Email: yukselg@itu.edu.tr Author-Workplace-Name: İstanbul Teknik Üniversitesi Author-Name: Fırat BOLAT Author-Email: bolatf@itu.edu.tr Author-Workplace-Name: İstanbul Teknik Üniversitesi Title: EVALUATION OF THE TURKISH MARINE TRADE FLEET IN TERMS OF SHIP SIZES AND MAIN ENGINE POWERS Abstract: There are many different types of ships in the world maritime industry. Among these vessels, the ship type with the largest share in international trade is dry cargo, container and tanker type vessels, and their markets are served by many vessels of various sizes, especially in these areas. The International Maritime Organization (IMO) has categorized the ship types in the world maritime sector and the gross tonnage expression obtained by calculating all the closed areas of the ship is defined in the International Convention on Measuring the Tonnages of Ships. Rules and limitations such as safety and security rules, rights, responsibilities and qualifications for the employees of the ship, insurance premiums, registration fees, certificates that the ship must have, etc? are generally defined in terms of gross tonnage. Similarly, the engine power of the ships is another unit used to determine the limits in the conventions, especially for oil gas emission rules, fuel rules. In this context, in this study, the answer to the question of what are the gross tonnages and power values (median) as the nominal (nominal) value according to the types of Turkish flagged vessels actively working were sought. For this purpose, actively working Turkish flagged vessel types in the IMO GISIS database were obtained and the distribution of the data was analyzed with the Excel program. Box graph method was used to access statistical explanatory criteria of the data. Within the scope of the results, it is aimed to create a vision for determining the limitations of the ship types of the Turkish merchant fleet in the subjects they are related to under IMO conventions. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 44-63 Volume: 18 Issue: 18 Year: 2021 Month: Feb DOI: 10.17740/eas.stat.2021-V18-04 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/1020 File-Format: Application/pdf Handle: RePEc:eas:econst:v:18:y:2021:i:18:p:44-63 Template-Type: ReDIF-Article 1.0 Author-Name: Elif Haykır HOBİKOĞLU Author-Email: elifh@istanbul.edu.tr Author-Workplace-Name: İstanbul Üniversitesi Author-Name: Burak TOPAK Author-Email: buraktopak@hotmail.com Author-Workplace-Name: İstanbul Üniversitesi Title: THE ROLE OF TECHNOPARK COMPONENTS IN CONTEXT OF CLUSTERING MODEL AND INVESTIGATION OF INDUSTRY 4.0 EXPECTATION WITH STRUCTURAL EQUALITY MODEL Abstract: In this study, the technoparks created by the university-state-industry triple helix have been examined. A quantitative research was conducted with 312 company owners in 18 technoparks in 9 cities. Survey was used as data collection method. The current technoparks system in Turkey and impact of three components were tested. In addition, the perspective of tecnoparks and stakeholders was examined on Industry 4.0 technologies. It is concluded that only universities have an effect on the existing technopark structure. However, it was shown by the survey results in the detail of the research that the universities could not do their part. Example tech development zone Silicon Valley and ideal technoparks criteria with the condition of the Angels Investments and university system in Turkey, according to the survey results were compared. With the answers given to the survey, guiding results were obtained in order to see and correct the deficiencies. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 64-77 Volume: 18 Issue: 18 Year: 2021 Month: Feb DOI: 10.17740/eas.stat.2021-V18-05 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/1021 File-Format: Application/pdf Handle: RePEc:eas:econst:v:18:y:2021:i:18:p:64-77 Template-Type: ReDIF-Article 1.0 Author-Name: Merter MERT Author-Email: merter.mert@hbv.edu.tr Author-Workplace-Name: Ankara Hacı Bayram Veli Üniversitesi Author-Name: Önder BALCI Author-Email: onderbalci@kafkas.edu.tr Author-Workplace-Name: Kafkas Üniversitesi Title: THE RELATIONSHIP BETWEEN RATE OF GROWTH OF POPULATION AND PER CAPITA GDP IN TURKEY: 1924-2018 Abstract: In this study, using a vector error correction model, the impact of a change in the rate of growth of population on the per capita GDP has been investigated for Turkey over the period 1924-2018. According to the first finding of the study, there is a long-term relationship between per capita GDP and rate of growth of population during the period 1924-2018. According to the second finding of the study, ceteris paribus, if rate of growth of population increases 0.01 points in Turkey, per capita GDP will increase 2.083 dollars (20-year-lag) or 4.466 dollars (19-year-lag) in the long term. Thus, an increase in the rate of growth of population has a positive impact on living standards in Turkey. In the relevant period, positive effects of population growth dominate negative effects of it in Turkey. According to the third finding of the study, long-term positive effect of rate of growth of population on per capita GDP in Turkey is emerging as a result of a twenty-year-lag or nineteen-year-lag. If an approximate calculation is made, a 0.01 point increase in the rate of growth of population increases per capita GDP by 2,083 dollars/20 = 104 dollars or 4,466 dollars/19 = 235 dollars, annually. The meaning of these findings is discussed in the study. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 78-99 Volume: 18 Issue: 18 Year: 2021 Month: Feb DOI: 10.17740/eas.stat.2021-V18-06 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/1022 File-Format: Application/pdf Handle: RePEc:eas:econst:v:18:y:2021:i:18:p:78-99 Template-Type: ReDIF-Article 1.0 Author-Name: Ünal Halit ÖZDEN Author-Email: uozden@ticaret.edu.tr Author-Workplace-Name: Istanbul Commerce University Author-Name: Kubilay ERİŞLİK Author-Email: kubilayerislik@ticaret.edu.tr Author-Workplace-Name: Istanbul Commerce University Title: DETERMINING THE DIFFERENCES OF EXOPLANETS ACCORDING TO THEIR CLASSES BY KRUSKAL WALLIS METHOD Abstract: More than 2600 exoplanets have been confirmed thanks to the Kepler spacecraft that NASA sent in 2009. The confirmed exoplanets are classified by their parent stars. In this study, it is aimed to determine which properties of the exoplanets, which are classified by their main stellar properties, differ according to their classes and for which classes these properties differ. In addition, finding differential factors for the use of an alternative method instead of classification according to the main star features is another purpose of the study.. In the study, 2275 exoplanets in F, G, K, M classes and the star class belonging to these exoplanets, their orbital period, transit epoch, impact parameter, transit duration (hour), transit depth (million diameter), planetary radius (planet radius / earth radius), equilibrium temperature (kelvin), insolation flux (earth flux), transit signal-to-noise, stellar effective temperature, stellar surface gravity, stellar radius (stellar radius / earth radius), right ascention, declination and kepler band values were used. The Kruskal-Wallis analysis, was used to find distinctive features in the study, it has been determined that there is a statistically significant difference in at least one of the star classes for the variables of transit epoch, transit duration (hour), transit depth (millionth diameter), planetary radius (earth radius), equilibrium temperature (kelvin), insolation flux (earth flux ), transit signal-to-noise, stellar effective temperature, stellar surface gravity, stellar radius (earth radius) and kepler band. A statistically significant difference was found among all class groups in the variables of transit depth, equilibrium temperature, insolation flow, stellar temperature, stellar surface gravity and stellar radius. The specified variables can be used as distinguishing features in the classification of exoplanets. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 100-113 Volume: 18 Issue: 18 Year: 2021 Month: Feb DOI: 10.17740/eas.stat.2021-V18-07 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/1023 File-Format: Application/pdf Handle: RePEc:eas:econst:v:18:y:2021:i:18:p:100-113