Araştırma Makalesi
BibTex RIS Kaynak Göster

Simulations of Optimal Human Capital and Total Factor Productivity in Universities

Yıl 2023, , 49 - 56, 30.04.2023
https://doi.org/10.5961/higheredusci.1083608

Öz

In this paper, we develop models of university capital in disaggregated and aggregated forms and simulate the trajectories of human/
non-human capital and total factor productivity in universities. The capital employed by a representative university is decomposed into
two composite human capital and non-human capital dimensions, each of which is further disaggregated into some sub-dimensions. We
first present a sketch of a disaggregated model for illustrative purposes and then develop an aggregated model for the simulation of the
key variables in the system. We incorporate an investment support (subsidy) parameter into the model, the optimal value of which is
computationally determined. Based on the optimal value of this decision variable, the trajectories of human/non-human capital and total
factor productivity are obtained. Though the exercise constructed in the paper is a particular or limited one, the model is highly suitable
for generalized exercises with multiple decision variables and multidimensional objective functions capturing a rich variety of different
possibilities in real life. The optimality and simulation exercises of this kind could help the university managers to design optimal decision
systems to achieve the university objectives in a best possible manner in dynamic settings.

Kaynakça

  • Abel, J. R. & Deitz, R. (2012). Do colleges and universities increase their region’s human capital? Journal of Economic Geography, 12 (3), 667-691.
  • Aboobaker, N. & Renjini, D. (2020). Human capital and entrepreneurial intentions: Do entrepreneurship education and training provided by universities add value? On The Horizon, 28 (2), 73-83.
  • Abramo, G., D’Angelo, C.A. & Di Costa, F. (2014). Investigating returns to scope of research fields in universities. Higher Education 68 (1), 69-85.
  • Albats, E., Bogers, M. & Podmetina, D. (2020). Companies’ human capital for university partnerships: A microfoundational perspective. Technological Forecasting and Social Change, 157, Article Number: 120085. DOI: 10.1016/j. techfore.2020.120085.
  • Bahrami, S. (2017). The relationship between human capital components and innovation climate in public universities. International Journal of Advanced and Applied Sciences, 4 (5), 86-90.
  • Barlas, Y. & Diker V. (2000). A dynamic simulation game for strategic university management. Simulation and Gaming, 31(3), 331–358.
  • Barra, C. & Zotti, R. (2017). Investigating the human capital development-growth nexus: Does the efficiency of universities matter? International Regional Science Review, 40 (6), 638- 678.
  • Bejinaru, R., Hapenciuc, C.V., Condratov, I. & Stanciu, P. (2018). The university role in developing the human capital for a sustainable bioeconomy. Amfiteatru Economic, 20,538-598.
  • Berde, E. (2014). Should universities be subsidized? - A reference point view. Procedia Social and Behavioral Sciences, 143, 838- 842.
  • Cheng, H. et.al. (2022). Government support, different types of collaborative R&D input, and performance: evidence from China. International Journal of Technology Management, 88(1), 51-70.
  • Dzisah, J. (2007). Institutional transformations in the regime of knowledge production: The University as a catalyst for the science-based knowledge economy. Asian Journal of Social Science, Vol. 35, No. 1, pp. 126-140.
  • Dundar, H. & Lewis, D.R. (1995). Departmental productivity in American universities: Economies of scale and scope. Economics of Education Review, 14 (2), 119-144.
  • Fethke, G. (2011). A low-subsidy problem in public higher education. Economics of Education Review, 30 (4), 617-626.
  • Flood, M.M. (1985). An optimization procedure for a university. Behavioral Science, 30(2); 57-97.
  • Gaintza- Jauregi, Z. (2020). Simulation as a methodological strategy in the faculty of education at the University of the Basque Country. Revista Electronica Educare, 24(3). DOI: 10.15359/ ree.24-3.11.
  • Garcia, J.M. (2022). System dynamics modeling with vensim: A quick guide to building causal loops and stock and flow diagrams. Juan Martin Garcia Publ. Kindle edition. Garcia-Carbonell, N., Guerrero-Alba, F., Martin-Alcazar, F. &
  • Sanchez-Gardey, G. (2021). Academic human capital in universities: Definition and proposal of a measurement scale. Science and public policy, 48 (6), 877-888.
  • Jakubik, M. (2020). Enhancing human capital beyond university boundaries. Higher Education Skills and Work-Based Learning, 10 (2), 434-446.
  • Jibir, A., Abdu, M. & Buba, A. (2022). Does Human Capital Influence Labor Productivity? Evidence from Nigerian Manufacturing and Service Firms. Journal of the Knowledge Economy, DOI: 10.1007/s13132-021-00878-8.
  • Kara, A. (2001). On the efficiency of the financial institutions of profit and Loss sharing. Journal of Economic & Social Research, 3(2), 99-104.
  • Kara, A. (2013). Educational technology and human Capital. Procedia – Social and Behavioral Sciences, 106, 970 – 979.
  • Kara, A. (2009). Implications of multiple preferences for a deconstructive critique and a reconstructive revision of economic theory. Journal of Economic & Social Research, 11(1), 69-78.
  • Kara, A. (2018). Escaping Mediocre-Quality, Low-Productivity, Low- Performance Traps at Universities in Developing Countries: A Human Capital-Based Structural Equation Model with System-Dynamics Simulations. Educational Sciences: Theory & Practice, 18(3), 541-559.
  • Ma, N. (2022). Optimization simulation system of university science education based on finite differential equations. Applied Mathematics and Nonlinear Sciences. DOI: 10.2478/ amns.2022.2.0177
  • Merrit, H. (2015). The role of human capital in university-business cooperation: The case of Mexico. Journal of the Knowledge Economy, 6 (3), 568-588.
  • Munoz, D.A. (2016). Assessing the research efficiency of higher education institutions in Chile: A data envelopment analysis approach. International Journal of Educational Management, 30 (6), 809-825.
  • OECD (Organization for Economic Cooperation and Development). (2001). The well-being of nations: The role of human and social capital. Paris, France.
  • Sanusi, A., Oyama, T. (2008). Statistical data analysis for investigating Japanese government subsidy policy for private universities. Higher Education, 55 (4), 407-423.
  • Song, Y. et.al. (2022). The effects of government subsidies on the sustainable innovation of university-industry collaboration. Technological Forecasting and Social Change, 174, Article Number, 121233.
  • Sterman, J. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill Education; HAR/ CDR edition.

Üniversitelerde Optimal Beşeri Sermaye ve Toplam Faktör Verimliliği Simülasyonları

Yıl 2023, , 49 - 56, 30.04.2023
https://doi.org/10.5961/higheredusci.1083608

Öz

Bu makalede, üniversitelerde sermayenin toplam ya da bileşenlerine ayrıştırılmış formlarda nasıl modellenebileceği ve beşeri sermaye
ve toplam faktör verimliliği yörüngelerinin nasıl simüle edilebileceği gösterilmektedir. Temsili bir üniversitenin toplam sermayesi, beşeri
sermaye ve beşeri olmayan sermaye ana bileşenleri ile temsil edilmekte ve her bir bileşen alt-bileşenlere ayrıştırılmaktadır. İlkin, altbileşenlerine
ayrıştırılmış sermaye modellemesinin nasıl yapılabileceği gösterilmekte, ardından ana-bileşenlere dayalı bir model kurgusu
sunulmaktadır. Optimal sermaye ve toplam faktör verimliliği yörüngelerinin simülasyonları, ana-bileşenlere dayalı modelden hareketle
yapılmaktadır. Modele, optimal değeri hesaplanan bir yatırım desteği/sübvansiyon parametresi entegre edilmekte ve yörüngeler bu değere
dayalı olarak belirlenmektedir. Makaledeki optimizasyon alıştırmasının kapsamı sınırlı olsa da, makaledeki model, reel hayatın zengin
varyasyonları ve bunlarla ilişkili çoklu değişken ve çok-boyutlu amaç fonksiyonlarının temsiline oldukça müsait bir yapıdadır. Makalede
örneklenen optimalite ve simülasyon denemeleri, üniversitenin amaçlarına, dinamik bir çerçevede en iyi şekilde ulaşılmasını mümkün
kılacak optimal karar sistemlerinin geliştirilmesine yardımcı olabilir.

Kaynakça

  • Abel, J. R. & Deitz, R. (2012). Do colleges and universities increase their region’s human capital? Journal of Economic Geography, 12 (3), 667-691.
  • Aboobaker, N. & Renjini, D. (2020). Human capital and entrepreneurial intentions: Do entrepreneurship education and training provided by universities add value? On The Horizon, 28 (2), 73-83.
  • Abramo, G., D’Angelo, C.A. & Di Costa, F. (2014). Investigating returns to scope of research fields in universities. Higher Education 68 (1), 69-85.
  • Albats, E., Bogers, M. & Podmetina, D. (2020). Companies’ human capital for university partnerships: A microfoundational perspective. Technological Forecasting and Social Change, 157, Article Number: 120085. DOI: 10.1016/j. techfore.2020.120085.
  • Bahrami, S. (2017). The relationship between human capital components and innovation climate in public universities. International Journal of Advanced and Applied Sciences, 4 (5), 86-90.
  • Barlas, Y. & Diker V. (2000). A dynamic simulation game for strategic university management. Simulation and Gaming, 31(3), 331–358.
  • Barra, C. & Zotti, R. (2017). Investigating the human capital development-growth nexus: Does the efficiency of universities matter? International Regional Science Review, 40 (6), 638- 678.
  • Bejinaru, R., Hapenciuc, C.V., Condratov, I. & Stanciu, P. (2018). The university role in developing the human capital for a sustainable bioeconomy. Amfiteatru Economic, 20,538-598.
  • Berde, E. (2014). Should universities be subsidized? - A reference point view. Procedia Social and Behavioral Sciences, 143, 838- 842.
  • Cheng, H. et.al. (2022). Government support, different types of collaborative R&D input, and performance: evidence from China. International Journal of Technology Management, 88(1), 51-70.
  • Dzisah, J. (2007). Institutional transformations in the regime of knowledge production: The University as a catalyst for the science-based knowledge economy. Asian Journal of Social Science, Vol. 35, No. 1, pp. 126-140.
  • Dundar, H. & Lewis, D.R. (1995). Departmental productivity in American universities: Economies of scale and scope. Economics of Education Review, 14 (2), 119-144.
  • Fethke, G. (2011). A low-subsidy problem in public higher education. Economics of Education Review, 30 (4), 617-626.
  • Flood, M.M. (1985). An optimization procedure for a university. Behavioral Science, 30(2); 57-97.
  • Gaintza- Jauregi, Z. (2020). Simulation as a methodological strategy in the faculty of education at the University of the Basque Country. Revista Electronica Educare, 24(3). DOI: 10.15359/ ree.24-3.11.
  • Garcia, J.M. (2022). System dynamics modeling with vensim: A quick guide to building causal loops and stock and flow diagrams. Juan Martin Garcia Publ. Kindle edition. Garcia-Carbonell, N., Guerrero-Alba, F., Martin-Alcazar, F. &
  • Sanchez-Gardey, G. (2021). Academic human capital in universities: Definition and proposal of a measurement scale. Science and public policy, 48 (6), 877-888.
  • Jakubik, M. (2020). Enhancing human capital beyond university boundaries. Higher Education Skills and Work-Based Learning, 10 (2), 434-446.
  • Jibir, A., Abdu, M. & Buba, A. (2022). Does Human Capital Influence Labor Productivity? Evidence from Nigerian Manufacturing and Service Firms. Journal of the Knowledge Economy, DOI: 10.1007/s13132-021-00878-8.
  • Kara, A. (2001). On the efficiency of the financial institutions of profit and Loss sharing. Journal of Economic & Social Research, 3(2), 99-104.
  • Kara, A. (2013). Educational technology and human Capital. Procedia – Social and Behavioral Sciences, 106, 970 – 979.
  • Kara, A. (2009). Implications of multiple preferences for a deconstructive critique and a reconstructive revision of economic theory. Journal of Economic & Social Research, 11(1), 69-78.
  • Kara, A. (2018). Escaping Mediocre-Quality, Low-Productivity, Low- Performance Traps at Universities in Developing Countries: A Human Capital-Based Structural Equation Model with System-Dynamics Simulations. Educational Sciences: Theory & Practice, 18(3), 541-559.
  • Ma, N. (2022). Optimization simulation system of university science education based on finite differential equations. Applied Mathematics and Nonlinear Sciences. DOI: 10.2478/ amns.2022.2.0177
  • Merrit, H. (2015). The role of human capital in university-business cooperation: The case of Mexico. Journal of the Knowledge Economy, 6 (3), 568-588.
  • Munoz, D.A. (2016). Assessing the research efficiency of higher education institutions in Chile: A data envelopment analysis approach. International Journal of Educational Management, 30 (6), 809-825.
  • OECD (Organization for Economic Cooperation and Development). (2001). The well-being of nations: The role of human and social capital. Paris, France.
  • Sanusi, A., Oyama, T. (2008). Statistical data analysis for investigating Japanese government subsidy policy for private universities. Higher Education, 55 (4), 407-423.
  • Song, Y. et.al. (2022). The effects of government subsidies on the sustainable innovation of university-industry collaboration. Technological Forecasting and Social Change, 174, Article Number, 121233.
  • Sterman, J. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill Education; HAR/ CDR edition.
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Eğitim Üzerine Çalışmalar
Bölüm Araştırma Makaleleri
Yazarlar

Ahmet Kara 0000-0002-0162-8137

Yayımlanma Tarihi 30 Nisan 2023
Yayımlandığı Sayı Yıl 2023

Kaynak Göster

APA Kara, A. (2023). Simulations of Optimal Human Capital and Total Factor Productivity in Universities. Yükseköğretim Ve Bilim Dergisi, 13(1), 49-56. https://doi.org/10.5961/higheredusci.1083608
AMA Kara A. Simulations of Optimal Human Capital and Total Factor Productivity in Universities. J Higher Edu Sci. Nisan 2023;13(1):49-56. doi:10.5961/higheredusci.1083608
Chicago Kara, Ahmet. “Simulations of Optimal Human Capital and Total Factor Productivity in Universities”. Yükseköğretim Ve Bilim Dergisi 13, sy. 1 (Nisan 2023): 49-56. https://doi.org/10.5961/higheredusci.1083608.
EndNote Kara A (01 Nisan 2023) Simulations of Optimal Human Capital and Total Factor Productivity in Universities. Yükseköğretim ve Bilim Dergisi 13 1 49–56.
IEEE A. Kara, “Simulations of Optimal Human Capital and Total Factor Productivity in Universities”, J Higher Edu Sci, c. 13, sy. 1, ss. 49–56, 2023, doi: 10.5961/higheredusci.1083608.
ISNAD Kara, Ahmet. “Simulations of Optimal Human Capital and Total Factor Productivity in Universities”. Yükseköğretim ve Bilim Dergisi 13/1 (Nisan 2023), 49-56. https://doi.org/10.5961/higheredusci.1083608.
JAMA Kara A. Simulations of Optimal Human Capital and Total Factor Productivity in Universities. J Higher Edu Sci. 2023;13:49–56.
MLA Kara, Ahmet. “Simulations of Optimal Human Capital and Total Factor Productivity in Universities”. Yükseköğretim Ve Bilim Dergisi, c. 13, sy. 1, 2023, ss. 49-56, doi:10.5961/higheredusci.1083608.
Vancouver Kara A. Simulations of Optimal Human Capital and Total Factor Productivity in Universities. J Higher Edu Sci. 2023;13(1):49-56.