Sürdürülebilir Kalkınma Amaçları

• 4
• 3
• 3
• 2
• 2
• 2
• 2
• 1
• 1
• 1
• 1
• 1

• MakaleAçık Erişim2023/r/gumushane/14507
  Analysis of The Causality Relationship Among Digitalisation, Unemployment Rate, and Divorce Rates: A Research on Türkiye; [Dijitalleşme, İşsizlik Oranı ve Boşanma Oranları Arasındaki Nedensellik İlişkinin Analizi: Türkiye Üzerine Bir Araştırma]

  Koç, Pınar; İzgi-şahpaz, Kadriye

  This study investigates the relationship between digitalisation, unemployment, and divorce rates in Türkiye by using the Fourier Toda Yamamoto Causality Test from 2007 to 2021. International Digital Economy and Society Index (I-DESI) has been used to indicate digitalisation. The results suggest that there is unilateral causality from digitalisation to divorce rates. However, there is no causality linkage between digitalisation and unemployment rates for the period 2007-2021. Moreover, there is no causal connection between unemployment rates and divorce rates. The findings show that digitalisation affects divorce rates by disrupting family communication.

  • 
  • 
  AtıfScopus3·WoS4·OpenAlex8·TR Dizin4

  İncele
• MakaleYalnız künye2023Scopus SJRQ1/r/gumushane/12633
  Investigating the environmental Kuznets curve hypothesis with recovered paper consumption, human development index, urbanization, and forest footprint

  Aydin, M.; Koc, P.; Tumay, M.

  The aim of this study, which covers the period from 1991 to 2017, is to analyze the relationships between recovered paper consumption, human development index, urbanization rate, and forest footprint in the framework of the Environmental Kuznets Curve (EKC) hypothesis in the 10 countries that consume the most recovered paper. Considering that wood is the raw material of paper, the study investigates whether the increase in the consumption of recovered paper has a positive effect on the forest footprint. Therefore, unlike other studies, the dependent variable of the EKC model is the forest footprint. The study is original in that it is the first to analyze the effects of recovered paper consumption on environmental degradation in the context of the EKC hypothesis. To analyze the relationships between the variables, we use panel cointegration tests based on AMG and CCE estimators, which allow analysis on both a country and group basis. According to the results, the EKC hypothesis is valid only in the Netherlands. While there is a statistically significant and negative relationship between recovered paper consumption and forest footprint in the Netherlands, there is a statistically significant and negative relationship between urbanization and forest footprint in Italy. Economic and ecological benefits and costs must be considered to measure the net benefit of waste management programs. In addition, to analyze how environmental impacts change over time, ecological footprint and gas emissions during waste generation or disposal should be measured similarly to carbon emissions.

  • 
  • 
  • 
  AtıfScopus14·WoS14·OpenAlex16

  İncele
• MakaleAçık Erişim2023Scopus SJRQ1/r/gumushane/11930
  Investigating the EKC hypothesis with nanotechnology, renewable energy consumption, economic growth and ecological footprint in G7 countries: panel data analyses with structural breaks

  Aydin, Mucahit; Koc, Pınar; Sahpaz, Kadriye Izgi

  This study investigates the relationship between nanotechnological innovations, renewable energy consumption, economic growth, and ecological footprint for G7 countries within the framework of the Environmental Kuznets Curve (EKC) hypothesis. The study employs panel cointegration tests with structural breaks from 1990–2018. Nanotechnology is expected to reduce environmental degradation by increasing renewable energy consumption and energy saving. In this context, nanotechnological innovations are an essential tool for sustainable development. However, the literature also emphasizes that nanoparticle emissions from nanotechnology can negatively impact human and environmental health in the long term, and these need to be analyzed. In this context, this study is the first to empirically examine the relationship between nanotechnological innovations, renewable energy consumption, economic growth, and ecological footprint within the framework of the EKC hypothesis. The outcomes affirm that all variables are integrated with the long term. The results show that the EKC hypothesis is valid only in the USA. Nanotechnological innovations have a reducing effect on environmental degradation in the USA, whereas; they have an increasing impact on environmental degradation in Italy and the United Kingdom. Renewable energy consumption enhances environmental quality in Italy, Japan, the United Kingdom, and the USA. Based on these empirical findings, the government should pioneer to development of new the lowest nanoparticle-emitting nanotechnologies. And that way, it will be possible to encourage energy savings and renewable energy consumption more safely, and the effectiveness of sustainable development policies will increase.

  • 
  • 
  • 
  AtıfScopus73·WoS59·OpenAlex76

  İncele
• MakaleYalnız künye2021/r/gumushane/16704
  THE RELATIONSHIP BETWEEN IN FINANCIAL MARKETS: A RESEARCH ON TURKISH FOOTBALL

  Koc, Pinar

  The purpose of this paper is to analyze the relationship between risk and stock return on the basis of Turkish football teams traded in financial markets. The study consists of two stages. In the first stage, the most suitable GARCH models for the return series were estimated. In the second stage, the estimated GARCH models were used as risk indicators, and the causality relationship between risk and return was tested with the Fourier granger causality test. According to the results of the study, the best model for Fenerbahce is ACGARH (1,1,1) model, the best model Galatasaray is EGARCH model and the best model forTrabzonsopr is APGARCH (1,1,1). In addition, there is causality relationship from risk to stock return.

  İncele
• MakaleYalnız künye2021/r/gumushane/17571
  Demiryolu Yatırımlarının Kişi Başına Düşen Gelir Üzerindeki Etkisinin Analizi: TürkiyeÜzerine Bir Araştırma

  Koç, Pinar

  Ulaşım sektöründeki gelişmelerin, sektörler arasındaki etkileşimi artırmak suretiyle uluslararası faktör hareketliliğine olanak sağlayarak hem ulusal düzeyde hem uluslararası düzeyde ülke ekonomisine katkı sağlaması beklenmektedir. Bu bağlamda, yapım maliyetlerinin diğer sektörlere oranla düşük olması, insan ve çevre sağlığı üzerinde pozitif dışsallıklar sağlaması nedeniyle demiryolu, hem ekonomik büyüme için hem de sürdürülebilir kalkınma için önemlidir. 2003-2019 dönemini kapsayan bu çalışmada, demiryolu yatırımlarının kişi başına düşen gelir düzeyi üzerindeki etkisi kısmi uyarlama modeli kullanılarak analiz edilmiştir. “Çalışmadan elde edilen sonuçlara göre, kısa dönemde demiryolu yatırımlarında meydana gelen % 1’lik artış, kişi başına düşen gelir düzeyini % 0,05 artırırken, uzun dönemde % 0, 29 artırmaktadır. Bu bağlamda, demir yolu yatırımlarında meydana gelen artışların ekonomik büyümeyi destekleyici bir rol oynadığı söylenebilir.

  AtıfTR Dizin4

  İncele
• MakaleAçık Erişim2021/r/gumushane/17492
  The Analysis of The Relationship Between Risk and Return: A Research on Turkish Football Teams Traded on BIST

  Koç, Pinar

  Purpose - Increasing uncertainty in financial markets has rised risk perception and it has affected stockreturns. In this context, the relationship between risk and stock return in the framework ModernPortfolio theory for Turkish football teams traded in financial markets. Design/methodology/approach - The purpose of this paper is to analyze The study consists of twostages. In the first stage, the most suitable GARCH models for the return series were estimated. In thesecond stage, the estimated GARCH models were used as risk indicators, and the causality relationshipbetween risk and return was tested through the Fourier granger causality test. Return series werecalculated by using FENER.IS, TSPOR.IS and GSRAY.IS’s daily closing maket prices. The study coversthe periods 04.05.2005-10.03.2021. Findings - The best model for Fenerbahçe is ACGARH (1,1,1) model, the best model Galatasaray isEGARCH model and the best model for Trabzonspor is APGARCH (1,1,1). In addition, there is causalityrelationship from risk to stock return.Discussion - The results obtained from the study indicate that the changes in risk perception can beused as a leading indicator for the stock returns of football teams.

  AtıfOpenAlex1

  İncele
• MakaleAçık Erişim2021/r/gumushane/17410
  Endüstriyel Dijitalleşme ve İşsizlik İlişkisini Belirlemede Mekânsal Faktörlerin Rolü\r

  Koç, Pinar

  Endüstriyel devrimler, ürün ve süreç yenilikleri kanalıyla işgücü piyasalarını ve iş gücü talebini \retkilemektedir. Dolayısıyla endüstriyel dijitalleşme sürecinin de ürün ve süreç yenilikleri kanalıyla işsizlik \roranlarını etkilemesi beklenmektedir. Bu bağlamda, 2013-2017 dönemini kapsayan bu çalışmanın amacı \rendüstriyel dijitalleşmenin işsizlik oranı üzerindeki etkisini belirlemede mekânsal faktörlerin etkili olup \rolmadığını analiz etmektir. Çalışma endüstriyel dijitalleşme endeksi verilerine ulaşılabilen 31 OECD ülkesini \rkapsamaktadır. Çalışmada rassal etkilere dayalı dinamik mekânsal panel veri analizi kullanılmıştır. Modelin \rbağımlı değişkeni işsizlik oranı iken modelin bağımsız değişkenleri bir önceki dönemin işsizlik oranı, \rendüstriyel dijitalleşme düzeyi ve mekânsal etki faktörüdür. Modele dâhil edilen bütün değişkenler istatistiksel \rolarak anlamlıdır. Çalışmadan elde edilen sonuçlara göre bir önceki dönemin işsizlik oranı cari dönem işsizlik \roranını pozitif etkilerken, endüstriyel dijitalleşme düzeyi ile cari işsizlik oranı arasında negatif ilişki \rbulunmaktadır. Bununla birlikte negatif mekânsal bağımlılık söz konusudur. Bir önceki dönemin işsizlik \roranında meydana gelen bir birimlik artış, cari işsizlik oranını 2,16 birim artırırken, endüstriyel dijitalleşme \rdüzeyindeki 1 birimlik artış, işsizlik oranını 6,54 birim azaltmaktadır. Mekânsal etki katsayısı -2,31’dir. \rMekânsal etki faktörünün negatif ve istatistiksel olarak anlamlı olması coğrafi yakınlığın işsizliği azaltıcı bir \retkiye yarattığı anlamına gelmektedir. Bu durumda komşu ülkede gerçekleşecek beklenmedik bir endüstriyel \rdijitalleşme şoku ilgili ülkede işsizlik oranını 2,31 birim azaltmaktadır.

  • 
  • 
  • 
  AtıfOpenAlex2

  İncele
• MakaleYalnız künye2021/r/gumushane/17400
  The Analysis of The Effect of GDP Per Capita and Household Size on Energy Consumption: A Regional Approach

  Koç, Pinar

  The aim of this study is to analyze the effect of GDP per capita and household size on electricity consumption in\rthe 81 sub regions of NUTS level 3 for the period 2008-2018. The Panel quantile regression model was used in\rthe study. According to the results of the study, house hold size affects electricity demand negatively while GDP\rper capita affects electricity consumption positively. An increase 1 % in per capita income rises electricity demand\rby 0.14 % while increase one unit in house hold size decreases electricity demand by 0.32 % in the provinces\rwhere electricity consumption is lower than average electricity consumption. An increase 1 % in GDP per capita\rrises electricity demand by 0.06 % unit while increase one unit in house hold size decreases electricity demand by\r0.34 % in the provinces where electricity consumption is higher than average electricity consumption.

  • 
  • 
  AtıfOpenAlex2

  İncele
• Kitap BölümüYalnız künye2021/r/gumushane/14883
  Dynamic Analysis of the Causality Relationships between COVID-19 Pandemic and Electricity Consumption: Case of Turkey

  Koç, Pinar; Gülmez, Ahmet

  • 
  İncele
• MakaleAçık Erişim2021/r/gumushane/13038
  The Effects of Economic Recessions on Divorce Rates: A Research on Turkey; [Ekonomik Resesyonların Boşanma Oranları Üzerindeki Etkileri: Türkiye Üzerine Bir Araştırma]

  Koç, Pınar; Kutlar, Aziz

  This study analyses the relationship between short-and long-term relationships between divorce rates and economic recession in Turkey. The asymmetric and time-varying asymmetric causality tests are used to analyse the short-term relationship, the Maki cointegration test is used to analyse the long-term relationship. The dependent variable of the model is the divorce rate. Labour force participation rate of women, unemployment rate, GDP per capita, legal regulations, and economic crises are independent variables. According to the estimation results, unemployment, national income, legal regulations, and economic crises positively affect divorce rates. The time-ric causality test results also indicate a temporary causality relationship between positive income and unemployment shocks.

  • 
  • 
  AtıfScopus2·WoS4·OpenAlex4·TR Dizin3

  İncele