Araştırma Makalesi
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WOMEN’S EMPLOYMENT AND WELL-BEING LIFE INDEX IN TURKEY

Yıl 2023, Sayı: 2 - HAZİRAN, 1 - 14, 11.09.2023

Öz

In addition to improving the economic growth of a country, increasing the employment of women help the countries to meet their sustainable development goals. In our country, where women make up over half of the population, increasing women's participation in the workforce is crucial to accomplishing the stated objectives. For this purpose, it was intended to investigate the relationship between women's employment in Turkey, which varies by province, and the indicators of the province's Well-Being Life Index. A significant and positive relationship between women's employment and income and wealth, a significant and positive relationship between women's employment and education, a significant and negative relationship between women's employment and access to infrastructure services were discovered as a result of the regression analysis. It has been determined that improving income and wealth and education in the provinces have a favorable impact on women's employment in order to achieve the required levels.

Kaynakça

  • Akgeyik, T. (2017). Factors That Affect Labor Force Participation of Women in Turkey: Analysis of Data from Turkish Statistical Institute. In Journal of Social Policy Conferences, 70, 31-53. https://dergipark.org.tr/en/pub/iusskd/issue/33511/372379
  • Aksoy, N., Felek, Ş., Yayla, N., & Çeviş, İ. (2019). The Women Employment in Turkey and Factors Effecting. Journal of Management and Economics Research, 17(3), 146-163. https://doi,org/10.11611/yead.594124
  • Alhalwachi, L., & Mordi, C. (2022). Organisational, Societal, and individual factors affecting women’s career progression in Bahraini banking sector. Journal of Sustainable Finance & Investment, 12(1), 103-127. https://doi.org/10.1080/20430795.2021.1922064
  • Aliyev, K., Seyfullali, J., Saidova, N., Musayev, T., & Nuhiyev, F. (2020). Factors affecting women's employment likelihood in a Muslim society: The case of Azerbaijan. International Journal of Social Economics. https://doi.org/10.1108/IJSE-09-2019-0557
  • Alpar, R. (2003) Uygulamalı Çok Değişkenli İstatistiksel Yöntemlere Giriş 1. 2. Baskı, Nobel Basımevi, Ankara.
  • Alpar, R. (2011). Çok Değişkenli İstatistiksel Yöntemler. Ankara: Detay Yayıncılık.
  • Beneria, L. (1981). Conceptualizing the Labor Force: The Underestimation of Women’s Economic Activities. Journal of Development Studies 17: 10–28. https://doi.org/10.1080/ 00220388108421795
  • Bongaarts, J., Blanc, A. K., & McCarthy, K. J. (2019). The links between women’s employment and children at home: Variations in low-and middle-income countries by world region. Population studies, 73(2), 149-163. https://doi.org/10.1080/00324728.2019.1581896
  • Büyüköztürk, Ş. (2015). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni. SPSS uygulamaları ve yorum (Gözden geçirilmiş yirmi birinci baskı).[Handbook of data analysis for social sciences: Statistics, research design, SPSS and comments] Ankara: Pegem Yayıncılık.
  • Cox, D. R., Snell, E. J. (1974) The Choice of Variables in Observational Studies, Appl. Statist., 23, 51-59.
  • Çakır Zeytinoğlu, F. (2007) İşletmelerin Dönen Varlıklarının Satışlar Üzerindeki Etkileri: En İyi Regresyon Denkleminin Seçimi ve Sektörel Karşılaştırma. Marmara Üniversitesi İ.İ.B.F. Dergisi , 23 (2) : 331-349.
  • Dhanaraj, S., & Mahambare, V. (2019). Family structure, education and women’s employment in rural India. World Development, 115, 17-29. https://doi.org/10.1016/j.worlddev.2018.11.004
  • Ercan, M. (2021) Measure of Women’s Development Level: An Analysis on Turkey and European Union Countries. Sosyal Ekonomik Araştırmalar Dergisi, 21(1), 27-40. https://doi.org/ 10.30976/susead.815425
  • Hocking, G. (1972) Criteria for Selection of a Subset Regression: Which one should be used. Technometrics, 14, 967-970.
  • Hsieh, C.-T., E. Hurst, C.I. Jones, & P.J. Klenow. 2019. The Allocation of Talent and US Economic Growth. Econometrica 87: 1439–1474. https://doi.org/10.3982/ECTA11427
  • Işık, A.(2006) Uygulamalı İstatistik-II. Beta Basım, İstanbul.
  • International Labour Organization. ILO Constitution, Preamble, 2020.
  • Göktaş, A., & Öznur, İ. (2010). Türkiye’de işsizlik oraninin temel bileşenli regresyon analizi ile belirlenmesi. Sosyal Ekonomik Araştırmalar Dergisi, 10(20), 279-294.
  • Kabeer, N. 2008. Paid Work, Women’s Empowerment and Gender Justice: Critical Pathways of Social Change. Pathways Policy Paper, Institute of Development Studies.
  • Karasar, N. (2011). Bilimsel Araştırma Yöntemleri. Ankara: Nobel Yayınları.
  • Kayaalp, G. T., Güney, M. Ç., & Cebeci, Z. (2015). Çoklu doğrusal regresyon modelinde değişken seçiminin zootekniye uygulanışı. Çukurova Üniversitesi Ziraat Fakültesi Dergisi, 30(1), 1-8.
  • Kessler-Harris, A. 2003. In Pursuit of Equity: Women, Men, and the Quest for Economic Citizenship in 20th Century America. Oxford: Oxford University Press.
  • Kıral, G., & Karlılar, S. (2017). Factors Affecting Female Labor Force Participation In Turkey: An Analysıs On Adana Province. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 26(3), 272-286. Retrieved from https://dergipark.org.tr/en/pub/cusosbil/issue/33225/378649
  • Koolwal, G. B. (2021). Improving the measurement of rural women's employment: Global momentum and survey priorities. World Development, 147, 105627. https://doi.org/10.1016/j.worlddev.2021.105627
  • Mahmoudiyan, H., & Rashvand, M. (2012). Demographic and Social Factors Affecting Women's Employment of Higher Education Graduates (case study: Tehran). Women in Development & Politics, 10(1), 83-104.
  • Martinez, D. F., Mitnik, O. A., Salgado, E., Scholl, L., & Yañez-Pagans, P. (2020). Connecting to economic opportunity: The role of public transport in promoting women’s employment in Lima. Journal of Economics, Race, and Policy, 3(1), 1-23. https://doi.org/10.1007/s41996-019-00039-9
  • Myers, R. H. (1990) Classical and Modern Regression with Applications, 2nd ed., PWS-Kent Publishers, Boston. Montgomery, D.C., Peck, E.A., Vining, G.G. (2001) Introduction to Linear Regression Analysis, 3rd Edition, John Wiley & Sons, New York.
  • Montgomery, D. C. & Runger, G. C. (2005) Applied Statistics And Probability for Engineers (Fifth Edition), John Wiley & Sons, USA.
  • Subramaniam, G., Khadri, N. A. M., Maniam, B., & Ali, E. (2016). The glass ceiling phenomenon-does it Really affect Women's career advancement in Malaysia?. Journal of Organizational Culture, Communications and Conflict, 20, 81.
  • Şahin, B. Y., & Alp, Cemile. (2020). The Effect Of Female Labor Forse Participation On Economic Growth: The Case Of Turkey. Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 17(45), 186-202. Retrieved from https://dergipark.org.tr/en/pub/mkusbed/issue /53886/574255
  • Şahinoğlu, T., & Ağırkaya, M. B. (2021). Factors Affecting Women's Employment and The Relationship of These Items with Demographic Properties: Case of Erzurum. İktisadi İdari ve Siyasal Araştırmalar Dergisi, 6(16), 398-421. https://doi.org/10.25204/iktisad.902806
  • Tabachnick, B.G. & Fidel, L.S. (2013). Using Multivariate Statistics. Boston MA: Pearson.
  • Thompson, M. L. (1978a) Selection of variables in multiple regression: Part I. A review and evaluation, Int. Statist. Rev., 46: 1-19.
  • Thompson, M. L. (1978b) Selection of variables in multiple regression: Part II. Chosen procedures, computations and examples, Int. Statist. Rev., 46: 129-146.
  • TUIK (Turkish Statistical Institute) (2016).2015 Well-Being Index for Provinces. Ankara.
  • TUIK (Turkish Statistical Institute) (2022). 2021 Labor Force Statistics. Ankara.
  • Zhong, Y. G., Couch, S., & Blum, S. C. (2011). Factors affecting women's career advancement in the hospitality industry: Perceptions of students, educators and industry recruiters. Journal of Hospitality & Tourism Education, 23(4), 5-13. https://doi.org/10.1080/ 10963758.2011.10697015

TÜRKİYE'DE KADIN İSTİHDAMI VE İYİ YAŞAM ENDEKSİ

Yıl 2023, Sayı: 2 - HAZİRAN, 1 - 14, 11.09.2023

Öz

Kadın istihdamının artırılması ülkelerin ekonomik gelişmişlik düzeylerini artıracağı gibi ülkelerin sürdürülebilir kalkınma hedeflerine ulaşılmasına da katkıda bulunmaktadır. Hemen hemen nüfusunun yarısının kadınlardan oluştuğu ülkemizde kadınların istihdama katılımının artırılması belirtilen hedeflere ulaşma konusunda oldukça önem arz etmektedir. Bu amaçla Türkiye’de il bazında farklılık gösteren kadın istihdamı ile illerin yaşam endeks göstergeleri arasındaki ilişkinin incelenmesi amaçlanmıştır. Yapılan regresyon analizi sonucunda kadın istihdamı ile gelir ve servet arasında anlamlı ve pozitif, kadın istihdamı ile eğitim arasında anlamlı ve pozitif bir ilişki, kadın istihdamı ile altyapı hizmetlerine erişim arasında anlamlı ve negatif bir ilişki bulunmuştur. İllerde gelir ve servetin ve eğitimin iyileştirilmesinin kadın istihdamını gerekli düzeye getirebilmesi için olumlu yönde etkilediği tespit edilmiştir.

Kaynakça

  • Akgeyik, T. (2017). Factors That Affect Labor Force Participation of Women in Turkey: Analysis of Data from Turkish Statistical Institute. In Journal of Social Policy Conferences, 70, 31-53. https://dergipark.org.tr/en/pub/iusskd/issue/33511/372379
  • Aksoy, N., Felek, Ş., Yayla, N., & Çeviş, İ. (2019). The Women Employment in Turkey and Factors Effecting. Journal of Management and Economics Research, 17(3), 146-163. https://doi,org/10.11611/yead.594124
  • Alhalwachi, L., & Mordi, C. (2022). Organisational, Societal, and individual factors affecting women’s career progression in Bahraini banking sector. Journal of Sustainable Finance & Investment, 12(1), 103-127. https://doi.org/10.1080/20430795.2021.1922064
  • Aliyev, K., Seyfullali, J., Saidova, N., Musayev, T., & Nuhiyev, F. (2020). Factors affecting women's employment likelihood in a Muslim society: The case of Azerbaijan. International Journal of Social Economics. https://doi.org/10.1108/IJSE-09-2019-0557
  • Alpar, R. (2003) Uygulamalı Çok Değişkenli İstatistiksel Yöntemlere Giriş 1. 2. Baskı, Nobel Basımevi, Ankara.
  • Alpar, R. (2011). Çok Değişkenli İstatistiksel Yöntemler. Ankara: Detay Yayıncılık.
  • Beneria, L. (1981). Conceptualizing the Labor Force: The Underestimation of Women’s Economic Activities. Journal of Development Studies 17: 10–28. https://doi.org/10.1080/ 00220388108421795
  • Bongaarts, J., Blanc, A. K., & McCarthy, K. J. (2019). The links between women’s employment and children at home: Variations in low-and middle-income countries by world region. Population studies, 73(2), 149-163. https://doi.org/10.1080/00324728.2019.1581896
  • Büyüköztürk, Ş. (2015). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni. SPSS uygulamaları ve yorum (Gözden geçirilmiş yirmi birinci baskı).[Handbook of data analysis for social sciences: Statistics, research design, SPSS and comments] Ankara: Pegem Yayıncılık.
  • Cox, D. R., Snell, E. J. (1974) The Choice of Variables in Observational Studies, Appl. Statist., 23, 51-59.
  • Çakır Zeytinoğlu, F. (2007) İşletmelerin Dönen Varlıklarının Satışlar Üzerindeki Etkileri: En İyi Regresyon Denkleminin Seçimi ve Sektörel Karşılaştırma. Marmara Üniversitesi İ.İ.B.F. Dergisi , 23 (2) : 331-349.
  • Dhanaraj, S., & Mahambare, V. (2019). Family structure, education and women’s employment in rural India. World Development, 115, 17-29. https://doi.org/10.1016/j.worlddev.2018.11.004
  • Ercan, M. (2021) Measure of Women’s Development Level: An Analysis on Turkey and European Union Countries. Sosyal Ekonomik Araştırmalar Dergisi, 21(1), 27-40. https://doi.org/ 10.30976/susead.815425
  • Hocking, G. (1972) Criteria for Selection of a Subset Regression: Which one should be used. Technometrics, 14, 967-970.
  • Hsieh, C.-T., E. Hurst, C.I. Jones, & P.J. Klenow. 2019. The Allocation of Talent and US Economic Growth. Econometrica 87: 1439–1474. https://doi.org/10.3982/ECTA11427
  • Işık, A.(2006) Uygulamalı İstatistik-II. Beta Basım, İstanbul.
  • International Labour Organization. ILO Constitution, Preamble, 2020.
  • Göktaş, A., & Öznur, İ. (2010). Türkiye’de işsizlik oraninin temel bileşenli regresyon analizi ile belirlenmesi. Sosyal Ekonomik Araştırmalar Dergisi, 10(20), 279-294.
  • Kabeer, N. 2008. Paid Work, Women’s Empowerment and Gender Justice: Critical Pathways of Social Change. Pathways Policy Paper, Institute of Development Studies.
  • Karasar, N. (2011). Bilimsel Araştırma Yöntemleri. Ankara: Nobel Yayınları.
  • Kayaalp, G. T., Güney, M. Ç., & Cebeci, Z. (2015). Çoklu doğrusal regresyon modelinde değişken seçiminin zootekniye uygulanışı. Çukurova Üniversitesi Ziraat Fakültesi Dergisi, 30(1), 1-8.
  • Kessler-Harris, A. 2003. In Pursuit of Equity: Women, Men, and the Quest for Economic Citizenship in 20th Century America. Oxford: Oxford University Press.
  • Kıral, G., & Karlılar, S. (2017). Factors Affecting Female Labor Force Participation In Turkey: An Analysıs On Adana Province. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 26(3), 272-286. Retrieved from https://dergipark.org.tr/en/pub/cusosbil/issue/33225/378649
  • Koolwal, G. B. (2021). Improving the measurement of rural women's employment: Global momentum and survey priorities. World Development, 147, 105627. https://doi.org/10.1016/j.worlddev.2021.105627
  • Mahmoudiyan, H., & Rashvand, M. (2012). Demographic and Social Factors Affecting Women's Employment of Higher Education Graduates (case study: Tehran). Women in Development & Politics, 10(1), 83-104.
  • Martinez, D. F., Mitnik, O. A., Salgado, E., Scholl, L., & Yañez-Pagans, P. (2020). Connecting to economic opportunity: The role of public transport in promoting women’s employment in Lima. Journal of Economics, Race, and Policy, 3(1), 1-23. https://doi.org/10.1007/s41996-019-00039-9
  • Myers, R. H. (1990) Classical and Modern Regression with Applications, 2nd ed., PWS-Kent Publishers, Boston. Montgomery, D.C., Peck, E.A., Vining, G.G. (2001) Introduction to Linear Regression Analysis, 3rd Edition, John Wiley & Sons, New York.
  • Montgomery, D. C. & Runger, G. C. (2005) Applied Statistics And Probability for Engineers (Fifth Edition), John Wiley & Sons, USA.
  • Subramaniam, G., Khadri, N. A. M., Maniam, B., & Ali, E. (2016). The glass ceiling phenomenon-does it Really affect Women's career advancement in Malaysia?. Journal of Organizational Culture, Communications and Conflict, 20, 81.
  • Şahin, B. Y., & Alp, Cemile. (2020). The Effect Of Female Labor Forse Participation On Economic Growth: The Case Of Turkey. Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 17(45), 186-202. Retrieved from https://dergipark.org.tr/en/pub/mkusbed/issue /53886/574255
  • Şahinoğlu, T., & Ağırkaya, M. B. (2021). Factors Affecting Women's Employment and The Relationship of These Items with Demographic Properties: Case of Erzurum. İktisadi İdari ve Siyasal Araştırmalar Dergisi, 6(16), 398-421. https://doi.org/10.25204/iktisad.902806
  • Tabachnick, B.G. & Fidel, L.S. (2013). Using Multivariate Statistics. Boston MA: Pearson.
  • Thompson, M. L. (1978a) Selection of variables in multiple regression: Part I. A review and evaluation, Int. Statist. Rev., 46: 1-19.
  • Thompson, M. L. (1978b) Selection of variables in multiple regression: Part II. Chosen procedures, computations and examples, Int. Statist. Rev., 46: 129-146.
  • TUIK (Turkish Statistical Institute) (2016).2015 Well-Being Index for Provinces. Ankara.
  • TUIK (Turkish Statistical Institute) (2022). 2021 Labor Force Statistics. Ankara.
  • Zhong, Y. G., Couch, S., & Blum, S. C. (2011). Factors affecting women's career advancement in the hospitality industry: Perceptions of students, educators and industry recruiters. Journal of Hospitality & Tourism Education, 23(4), 5-13. https://doi.org/10.1080/ 10963758.2011.10697015
Toplam 37 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Araştırma Makalesi
Yazarlar

Fatma Selen Madenoğlu 0000-0002-5577-4471

Erken Görünüm Tarihi 11 Eylül 2023
Yayımlanma Tarihi 11 Eylül 2023
Yayımlandığı Sayı Yıl 2023 Sayı: 2 - HAZİRAN

Kaynak Göster

APA Madenoğlu, F. S. (2023). WOMEN’S EMPLOYMENT AND WELL-BEING LIFE INDEX IN TURKEY. İşletme Ve Girişimcilik Araştırmaları Dergisi(2), 1-14.