Araştırma Makalesi
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The Impact of Generation Mix in the Labor Market on Country Economies: The Case of G20 Countries

Yıl 2025, Cilt: 40 Sayı: 2, 491 - 506, 04.06.2025
https://doi.org/10.24988/ije.1412124

Öz

Demographic change is a critical factor affecting countries' economic and socio-cultural structure. The change between generations deeply affects economic systems and shapes production capacity. This research examines the impact of the generational transition in the youth labor market on total factor productivity (TFP) in G20 countries. Between 1980 and 2019, the labor force participation rates and TFP data of young people aged 15-24 were evaluated with a panel regression model. The findings reveal the impact of this transition between generations on economic systems; they emphasize the role of different generations in economic dynamics. This study aims to contribute to the literature and guide the policy-making processes of G20 countries. It is expected to shed light on future policy developments by emphasizing the importance of intergenerational interaction in the labor market on the economic performance of countries.

Kaynakça

  • Acemoğlu, D. and Restrepo, P. (2022). Demographics and automation. The Review of Economic Studies, 89(1), 1–44.
  • Alfonso, R. and Torrini, R. (2007). The generation gap: Relative earnings of young and old workers in Italy. Bank of Italy Economic Working Paper, (639).
  • Arellano, M. (1987). Practitioners corner: Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434.
  • Arowolo, O. T. and Ekum, M. I. (2016). Food production modelling using fixed effect panel data for Nigeria and other 14 West African countries. American Journal of Theoretical and Applied Statistics, 5(4), 208–218.
  • Autry Jr, A. J. and Berge, Z. (2011). Digital natives and digital immigrants: Getting to know each other. Industrial and Commercial Training, 43(7), 460–466.
  • Baltagi, B. H. (2005). Econometric analysis of panel data. England: John Wiley & Sons Ltd.
  • Baltagi, B. H. and Wu, P. X. (1999). Unequally spaced panel data regressions with AR(1) disturbances. Econometric Theory, 15(6), 814–823.
  • Bawazir, A. A. A., Aslam, M. and Osman, A. F. B. (2020). Demographic change and economic growth: Empirical evidence from the Middle East. Economic Change and Restructuring, 53, 429–450.
  • Becton, J. B., Walker, H. J. and Jones-Farmer, A. (2014). Generational differences in workplace behavior. Journal of Applied Social Psychology, 44(3), 175–189.
  • Berkup, S. B. (2014). Working with generations X and Y in generation Z period: Management of different generations in business life. Mediterranean Journal of Social Sciences, 5(19), 218-229.
  • Bhargava, A., Franzini, L., & Narendranathan, W. (1982). Serial correlation and the fixed effects model. The Review of Economic Studies, 49(4), 533–549.
  • Bloom, D. E. and Williamson, J. G. (1998). Demographic transitions and economic miracles in emerging Asia. The World Bank Economic Review, 12(3), 419–455.
  • Bucci, A. (2008). Population growth in a model of economic growth with human capital accumulation and horizontal R&D. Journal of Macroeconomics, 30(3), 1124–1147.
  • Campbell, W. K., Campbell, S. M., Siedor, L. E. and Twenge, J. M. (2015). Generational differences are real and useful. Industrial and Organizational Psychology, 8(3), 324–331.
  • Carlin, B., Olafsson, A. and Pagel, M. (2019). Generational differences in managing personal finances. AEA Papers and Proceedings, 109, 54–59.
  • Cismaru, L. and Iunius, R. (2019). Bridging the generational gap in the hospitality industry: Reverse mentoring—An innovative talent management practice for present and future generations of employees. Sustainability, 12(1), 263.
  • Cruz, M. And Ahmed, S. A. (2018). On the impact of demographic change on economic growth and poverty. World Development, 105, 95–106.
  • Fent, T., Mahlberg, B. and Prskawetz, A. (2008). Demographic change and economic growth. The Silver Market Phenomenon: Business Opportunities in an Era of Demographic Change, 3–16.
  • Francis, T., & Hoefel, F. (2018). True Gen’: Generation Z and its implications for companies. McKinsey & Company, 12. Retrieved from https://www.mckinsey.com
  • Froot, K. A. (1989). Consistent covariance matrix estimation with cross-sectional dependence and heteroskedasticity in financial data. The Journal of Financial and Quantitative Analysis, 24(3), 333–355.
  • Gómez, R. and De Cos, P. (2008). The importance of being mature: The effect of demographic maturation on global per capita GDP. Journal of Population Economics, 21, 589–608.
  • Grenčíková, A., Habánik, J., Španková, J., Húževka, M. and Šrámka, M. (2022). Current labour market challenges in the light of future economic and demographic developments. European Journal of Interdisciplinary Studies, 14(1), 100–112. http://doi.org/10.24818/ejis.2022.07
  • Hall, R. E. and Jones, C. I. (1999). Why do some countries produce so much more output per worker than others? The Quarterly Journal of Economics, 114(1), 83–116.
  • Han, J. S. And Lee, J. W. (2020). Demographic change, human capital, and economic growth in Korea. Japan and the World Economy, 53, 100984.
  • Harnphattananusorn, S. and Puttitanun, T. (2021). Generation gap and its impact on economic growth. Heliyon, 7(6), e07160.
  • Harnphattananusorn, S. and Puttitanun, T. (2022). Generation mix and GDP growth in OECD countries. Heliyon, 8(9), e10508.
  • Hu, Q., Lei, X. and Zhao, B. (2021). Demographic changes and economic growth: Impact and mechanisms. China Economic Journal, 14(3), 223–242.
  • Jirasevijinda, T. (2018). Bridging the generation gap in the workplace: How I learned to stop worrying and love working with the millennial generation. Journal of Communication in Healthcare, 11(2), 83–86.
  • Karagöz, H. (2021). Nüfus yaşlanmasının ekonomik büyüme üzerindeki etkileri: OECD ülkeleri örneği. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, 20(42), 1544–1565.
  • Kelly, S. (2011). Do homes that are more energy efficient consume less energy? A structural equation model of the English residential sector. Energy, 36(9), 5610–5620.
  • Kesharwani, A. (2020). Do (how) digital natives adopt a new technology differently than digital immigrants? A longitudinal study. Information & Management, 57(2), 103170.
  • Kyles, D. (2005). Managing your multigenerational workforce. Strategic Finance, 87(6), 52.
  • Lee, J. W. and Lee, H. (2016). Human capital in the long run. Journal of Development Economics, 122, 147–169.
  • Levin, A., Lin, C. F. and Chu, C. S. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24.
  • Lindh, T. (1999). Medium-term forecasts of potential GDP and inflation using age structure information (No. 99). Sveriges Riksbank Working Paper Series.
  • Lindskog, H. and Oskarson, M. (2023). Generational differences in disguise? A longitudinal study of the liberalising effect of education on socio-cultural attitudes. West European Politics, 46(3), 500–525.
  • Little, R. J. A. and Rubin, D. R. (2002). Statistical analysis with missing data (2nd ed.). New York: Wiley.
  • Little, R. and Rubin, D. (2014). Statistical analysis with missing data. New York: Wiley.
  • Maddala, G. S. and Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, Special Issue, 631–652.
  • Maestas, N., Mullen, K. J. and Powell, D. (2023). The effect of population aging on economic growth, the labor force, and productivity. American Economic Journal: Macroeconomics, 15(2), 306–332.
  • OECD. (2020). Promoting an age-inclusive workforce: Living, learning and earning longer. Retrieved from https://www.oecd-ilibrary.org Accessed 09 October 2023.
  • Park, C. Y., Shin, K., & Kikkawa, A. (2022). Demographic change, technological advance, and growth: A cross-country analysis. Economic Modelling, 108, 105742.
  • Pesaran, M. H. (2004). General diagnostic tests for cross-section dependence in panels. IZA Discussion Paper, No:1240.
  • Pisani-Ferry, J. (2016). How do we bridge the generation gap? Retrieved from https://www.weforum.org Accessed 09 October 2023.
  • Rogers, W. H. (1993). Regression standard errors in clustered samples. Stata Technical Bulletin, 13, 19–23.
  • Solow, R. M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70(1), 65–94.
  • Song, S. (2013). Demographic changes and economic growth: Empirical evidence from Asia. Honors Projects, Paper No. 121. Retrieved from https://digitalcommons.iwu.edu/econ_honproj/121/ Accessed 09 October 2023.
  • Strauss, W. and Howe, N. (1991). Generations: The history of America’s future, 1584 to 2069. New York: Quill.
  • Strauss, W. and Howe, N. (1997). The fourth turning: An American prophecy. New York: Broadway Books.
  • Subramanian, K. R. (2017). The generation gap and employee relationship. International Journal of Engineering and Management Research (IJEMR), 7(6), 59–67.
  • Temple, J. (1999). The new growth evidence. Journal of Economic Literature, 37(1), 112–156.
  • Tian, X.-L., Bélaïd, F. and Ahmad, N. (2021). Exploring the nexus between tourism development and environmental quality: Role of renewable energy consumption and income. Structural Change and Economic Dynamics, 56, 53–63.
  • Yao, C., Feng, K. and Hubacek, K. (2015). Driving forces of CO2 emissions in the G20 countries: An index decomposition analysis from 1971 to 2010. Ecological Informatics, 26, 93–100.
  • Zhang, H., Zhang, H. and Zhang, J. (2015). Demographic age structure and economic development: Evidence from Chinese provinces. Journal of Comparative Economics, 43(1), 170–185.

İşgücü Piyasasında Kuşak Karışımlarının Ülke Ekonomileri Üzerindeki Etkisi: G20 Ülkeleri Örneği

Yıl 2025, Cilt: 40 Sayı: 2, 491 - 506, 04.06.2025
https://doi.org/10.24988/ije.1412124

Öz

Demografik değişim, ülkelerin ekonomik ve sosyokültürel yapısını etkileyen kritik bir faktördür. Kuşaklar arasındaki değişim, ekonomik sistemleri derinden etkileyerek üretim kapasitesini şekillendirmektedir. Bu araştırma, G20 ülkelerindeki genç işgücü piyasasındaki kuşaklar arasındaki geçişin toplam faktör verimliliği üzerindeki etkisini incelemektedir. 1980-2019 arasındaki dönemde, 15-24 yaş aralığındaki gençlerin işgücüne katılım oranları ile toplam faktör verimliliği verileri panel regresyon modeli ile değerlendirilmiştir. Bulgular, kuşaklar arasındaki bu geçişin ekonomik sistemlere etkisini ortaya koymakta; farklı kuşakların ekonomik dinamiklerdeki rolünü vurgulamaktadır. Bu çalışmanın literatüre katkı sağlaması ve G20 ülkelerinin politika oluşturma süreçlerine rehberlik etmesi amaçlanmaktadır. İşgücü piyasasındaki kuşaklar arası etkileşimin, ülkelerin ekonomik performansı üzerindeki önemini vurgulayarak, gelecekteki politika geliştirmelerine ışık tutması beklenmektedir.

Kaynakça

  • Acemoğlu, D. and Restrepo, P. (2022). Demographics and automation. The Review of Economic Studies, 89(1), 1–44.
  • Alfonso, R. and Torrini, R. (2007). The generation gap: Relative earnings of young and old workers in Italy. Bank of Italy Economic Working Paper, (639).
  • Arellano, M. (1987). Practitioners corner: Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434.
  • Arowolo, O. T. and Ekum, M. I. (2016). Food production modelling using fixed effect panel data for Nigeria and other 14 West African countries. American Journal of Theoretical and Applied Statistics, 5(4), 208–218.
  • Autry Jr, A. J. and Berge, Z. (2011). Digital natives and digital immigrants: Getting to know each other. Industrial and Commercial Training, 43(7), 460–466.
  • Baltagi, B. H. (2005). Econometric analysis of panel data. England: John Wiley & Sons Ltd.
  • Baltagi, B. H. and Wu, P. X. (1999). Unequally spaced panel data regressions with AR(1) disturbances. Econometric Theory, 15(6), 814–823.
  • Bawazir, A. A. A., Aslam, M. and Osman, A. F. B. (2020). Demographic change and economic growth: Empirical evidence from the Middle East. Economic Change and Restructuring, 53, 429–450.
  • Becton, J. B., Walker, H. J. and Jones-Farmer, A. (2014). Generational differences in workplace behavior. Journal of Applied Social Psychology, 44(3), 175–189.
  • Berkup, S. B. (2014). Working with generations X and Y in generation Z period: Management of different generations in business life. Mediterranean Journal of Social Sciences, 5(19), 218-229.
  • Bhargava, A., Franzini, L., & Narendranathan, W. (1982). Serial correlation and the fixed effects model. The Review of Economic Studies, 49(4), 533–549.
  • Bloom, D. E. and Williamson, J. G. (1998). Demographic transitions and economic miracles in emerging Asia. The World Bank Economic Review, 12(3), 419–455.
  • Bucci, A. (2008). Population growth in a model of economic growth with human capital accumulation and horizontal R&D. Journal of Macroeconomics, 30(3), 1124–1147.
  • Campbell, W. K., Campbell, S. M., Siedor, L. E. and Twenge, J. M. (2015). Generational differences are real and useful. Industrial and Organizational Psychology, 8(3), 324–331.
  • Carlin, B., Olafsson, A. and Pagel, M. (2019). Generational differences in managing personal finances. AEA Papers and Proceedings, 109, 54–59.
  • Cismaru, L. and Iunius, R. (2019). Bridging the generational gap in the hospitality industry: Reverse mentoring—An innovative talent management practice for present and future generations of employees. Sustainability, 12(1), 263.
  • Cruz, M. And Ahmed, S. A. (2018). On the impact of demographic change on economic growth and poverty. World Development, 105, 95–106.
  • Fent, T., Mahlberg, B. and Prskawetz, A. (2008). Demographic change and economic growth. The Silver Market Phenomenon: Business Opportunities in an Era of Demographic Change, 3–16.
  • Francis, T., & Hoefel, F. (2018). True Gen’: Generation Z and its implications for companies. McKinsey & Company, 12. Retrieved from https://www.mckinsey.com
  • Froot, K. A. (1989). Consistent covariance matrix estimation with cross-sectional dependence and heteroskedasticity in financial data. The Journal of Financial and Quantitative Analysis, 24(3), 333–355.
  • Gómez, R. and De Cos, P. (2008). The importance of being mature: The effect of demographic maturation on global per capita GDP. Journal of Population Economics, 21, 589–608.
  • Grenčíková, A., Habánik, J., Španková, J., Húževka, M. and Šrámka, M. (2022). Current labour market challenges in the light of future economic and demographic developments. European Journal of Interdisciplinary Studies, 14(1), 100–112. http://doi.org/10.24818/ejis.2022.07
  • Hall, R. E. and Jones, C. I. (1999). Why do some countries produce so much more output per worker than others? The Quarterly Journal of Economics, 114(1), 83–116.
  • Han, J. S. And Lee, J. W. (2020). Demographic change, human capital, and economic growth in Korea. Japan and the World Economy, 53, 100984.
  • Harnphattananusorn, S. and Puttitanun, T. (2021). Generation gap and its impact on economic growth. Heliyon, 7(6), e07160.
  • Harnphattananusorn, S. and Puttitanun, T. (2022). Generation mix and GDP growth in OECD countries. Heliyon, 8(9), e10508.
  • Hu, Q., Lei, X. and Zhao, B. (2021). Demographic changes and economic growth: Impact and mechanisms. China Economic Journal, 14(3), 223–242.
  • Jirasevijinda, T. (2018). Bridging the generation gap in the workplace: How I learned to stop worrying and love working with the millennial generation. Journal of Communication in Healthcare, 11(2), 83–86.
  • Karagöz, H. (2021). Nüfus yaşlanmasının ekonomik büyüme üzerindeki etkileri: OECD ülkeleri örneği. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, 20(42), 1544–1565.
  • Kelly, S. (2011). Do homes that are more energy efficient consume less energy? A structural equation model of the English residential sector. Energy, 36(9), 5610–5620.
  • Kesharwani, A. (2020). Do (how) digital natives adopt a new technology differently than digital immigrants? A longitudinal study. Information & Management, 57(2), 103170.
  • Kyles, D. (2005). Managing your multigenerational workforce. Strategic Finance, 87(6), 52.
  • Lee, J. W. and Lee, H. (2016). Human capital in the long run. Journal of Development Economics, 122, 147–169.
  • Levin, A., Lin, C. F. and Chu, C. S. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24.
  • Lindh, T. (1999). Medium-term forecasts of potential GDP and inflation using age structure information (No. 99). Sveriges Riksbank Working Paper Series.
  • Lindskog, H. and Oskarson, M. (2023). Generational differences in disguise? A longitudinal study of the liberalising effect of education on socio-cultural attitudes. West European Politics, 46(3), 500–525.
  • Little, R. J. A. and Rubin, D. R. (2002). Statistical analysis with missing data (2nd ed.). New York: Wiley.
  • Little, R. and Rubin, D. (2014). Statistical analysis with missing data. New York: Wiley.
  • Maddala, G. S. and Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, Special Issue, 631–652.
  • Maestas, N., Mullen, K. J. and Powell, D. (2023). The effect of population aging on economic growth, the labor force, and productivity. American Economic Journal: Macroeconomics, 15(2), 306–332.
  • OECD. (2020). Promoting an age-inclusive workforce: Living, learning and earning longer. Retrieved from https://www.oecd-ilibrary.org Accessed 09 October 2023.
  • Park, C. Y., Shin, K., & Kikkawa, A. (2022). Demographic change, technological advance, and growth: A cross-country analysis. Economic Modelling, 108, 105742.
  • Pesaran, M. H. (2004). General diagnostic tests for cross-section dependence in panels. IZA Discussion Paper, No:1240.
  • Pisani-Ferry, J. (2016). How do we bridge the generation gap? Retrieved from https://www.weforum.org Accessed 09 October 2023.
  • Rogers, W. H. (1993). Regression standard errors in clustered samples. Stata Technical Bulletin, 13, 19–23.
  • Solow, R. M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70(1), 65–94.
  • Song, S. (2013). Demographic changes and economic growth: Empirical evidence from Asia. Honors Projects, Paper No. 121. Retrieved from https://digitalcommons.iwu.edu/econ_honproj/121/ Accessed 09 October 2023.
  • Strauss, W. and Howe, N. (1991). Generations: The history of America’s future, 1584 to 2069. New York: Quill.
  • Strauss, W. and Howe, N. (1997). The fourth turning: An American prophecy. New York: Broadway Books.
  • Subramanian, K. R. (2017). The generation gap and employee relationship. International Journal of Engineering and Management Research (IJEMR), 7(6), 59–67.
  • Temple, J. (1999). The new growth evidence. Journal of Economic Literature, 37(1), 112–156.
  • Tian, X.-L., Bélaïd, F. and Ahmad, N. (2021). Exploring the nexus between tourism development and environmental quality: Role of renewable energy consumption and income. Structural Change and Economic Dynamics, 56, 53–63.
  • Yao, C., Feng, K. and Hubacek, K. (2015). Driving forces of CO2 emissions in the G20 countries: An index decomposition analysis from 1971 to 2010. Ecological Informatics, 26, 93–100.
  • Zhang, H., Zhang, H. and Zhang, J. (2015). Demographic age structure and economic development: Evidence from Chinese provinces. Journal of Comparative Economics, 43(1), 170–185.
Toplam 54 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Panel Veri Analizi , Büyüme, İstihdam
Bölüm Araştırma Makalesi
Yazarlar

Gözde Bozkurt 0000-0001-8413-1099

Melih Sefa Yavuz 0000-0003-1085-5304

Gönderilme Tarihi 30 Aralık 2023
Kabul Tarihi 14 Aralık 2024
Erken Görünüm Tarihi 23 Mayıs 2025
Yayımlanma Tarihi 4 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 40 Sayı: 2

Kaynak Göster

APA Bozkurt, G., & Yavuz, M. S. (2025). The Impact of Generation Mix in the Labor Market on Country Economies: The Case of G20 Countries. İzmir İktisat Dergisi, 40(2), 491-506. https://doi.org/10.24988/ije.1412124

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