• الصفحة الرئيسية
  • مطالعه و تحلیل متغیرهای جمعیتی تأثیر گذار بر نسبت پشتیبانی در صندوق بازنشستگی تأمین اجتماعی ایران با استفاده از پویایی‌های سیستم

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عنوان URL للمقالة


رقم المقالة : IMJ-2011-1475 (R6) زيارة : 67 الصفحة: 123 - 138

10.30495/imj.2021.684181

نوع المخطوط: ابحاث

مطالعه و تحلیل متغیرهای جمعیتی تأثیر گذار بر نسبت پشتیبانی در صندوق بازنشستگی تأمین اجتماعی ایران با استفاده از پویایی‌های سیستم

الموضوعات :

zahra karimian sichani 1 (Head of Statistics and Information Technology Department of Insurance Deputy - Social Security Organization)
mohammad hassan cheraghali 2 (Assistant Prof., Faculty of Management, Islamic Azad University, South Tehran Branch, Tehran, Iran)
ali dehghani 3 (Assistant Prof., Faculty of Economics and Accounting, Islamic Azad University, South Tehran Branch)

تاريخ الإرسال : 27 الجمعة , ربيع الأول, 1442 تاريخ التأكيد : 10 السبت , شوال, 1442 تاريخ الإصدار : 14 الأحد , محرم, 1443

الکلمات المفتاحية: متغیرهای جمعیتی, نسبت پشتیبانی, صندوق بازنشستگی, پویایی های سیستم,

ملخص المقالة :

ارزیابی و اصلاح سیستمهای بازنشستگی از جمله مسائل پیچیده‌ای میباشند که به دلیل تعدد متغیرهای تاثیرگذار و تغییر متغیرها در افقهای زمانی بلندمدت، نمیتوان آنها را به سادگی بررسی و تحلیل نمود. هدف این مقاله مطالعه و تحلیل متغیرهای جمعیتی بر نسبت پشتیبانی (تعداد بیمه شدگان بر تعداد مستمری بگیران) در سازمان تأمین اجتماعی است. این نسبت تا حدودی نسبت ورودی به خروجی صندوق را نمایش داده و بر اساس آن میتوان با توجه به میزان حق بیمه های جاری و مبالغ مستمری فشار موجود بر صندوق را تخمین زد. در این مقاله با استفاده از اطلاعات و آمارهای سازمان مذکور و مرکز آمار ایران در سالهای 98-95، مدلی بر پایه پویایی های سیستم طراحی و بعد از تست و اعتبارسنجی مدل، سیاستهای مختلف بررسی و تحلیل گردیدند. یافته ها نشان می دهند تا سال 1412 جمعیت سالمند کشور دو برابر و جمعیت سن کار 12درصد رشد خواهد داشت. همچنین نسبت پشتیبانی صندوق ظرف همان مدت به عدد 2.19 خواهد رسید. مشارکت مشاغل غیر رسمی، اشتغال جوانان، مشارکت اقتصادی زنان و نرخ باروری مهمترین متغیرهای تاثیرگذار جمعیتی می باشند که با اعمال سیاستها و برنامه ریزی های مناسب میتوانند میزان نسبت پشتیبانی را به ترتیب به میزان 3، 1/2 ، 1/4 و 0/5 واحد افزایش دهند.

المصادر:


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_||_

  1. Alonso García, J., & Rosado Cebrianc, B. (2019). Financial crisis and pension reform in Spain: the effect of labour market dynamics. Journal of Economic Policy Reform, 0(0), 1-18.
    2.
  2. Dumitrescu, A. L. (2019). Challenges and opportunities of the EU migration Policy. Global Economic Observer,  7(1), 168-178.
    3.
  3.   Farahzadi, Sh., & Rahmati, M. H. (2017). Female labor participation in Iran: A Structural Model Estimation. Forthcoming Journal of Economic Studies, 47(1), 1–19.
    4.
  4. Finke, R., & Sabatini, M. (2016), 2016 Pension Sustainability Index, In Finke, R.Allianz International Pension Papers, Munich. https://www.fiapinternacional.org/wp-content /uploads/2016/10/Pension-Sustainability-Index-2016.pdf
    5.
  5. Iran Statistics Center. (2018). Public Census of Population and housing of Iran in 2016. Tehran, Available from www.amar.org.ir
    6.
  6. Khorsandi, M., & Afsari, A. (2016). The Effect of birth rate on the stability of the pension system in format of Two-Period overlapping generations: The Case of Iran. Iranian Journal of Economic Research, 22(71), 188-157.
    7.
  7. Kudrna, G., Tran, CH., & Woodland, A. (2019).  Facing Demographic Challenges: Pension Cuts or Tax Hikes? Macroeconomic Dynamics, 23(2), 625-673.
    8.
  8. Lychkina N.N., Morozova Y.A. (2014) Dynamic simulation of Pension system development processes. Proceedings of the 32nd International Conference of the System Dynamics Society. 20–24 July 2014, Delft, Netherlands. Available at: http://www.systemdynamics .org/conferences/2014/proceed/papers/P1180.pdf (accessed 01 February 2016).
    9.
  9. Mehri, N., Messkoub, M. & Kunkel, S. (2019). Trends, determinants and the implications of population aging in Iran. Ageing International, 45,327-343.
    10.
  10. Miri, N., Maddah, M., Raghfar, H. (2019). Aging and economic growth.  Iranian aging Journal of ageing, 13(5), 626-637.
    11.
  11. Moshfegh, M., & Hosseini, Gh. (2012). Future study of demographic changes in Iran during the period 2011 to 2041. Quarterly Journal of Socio-Cultural cognition, 1(13), 21-42.
    12.
  12. Moshfegh, M. (2019). Elderly population of Iran until 1405. Tehran: Saba Pension Strategies Institute.
    13.
  13. Pietron, R. (2018). Pension system dynamics modeling policy design and risk analysis[Paper presentation]. In Chybalski, F., & Marcinkiewicz, E. Proceedings PenCon 2018 Pensions Conference. Contemporary problems of intergenerational relations and pension systems: a theoretical and empirical perspective, Poland (PP.76-86). Lodz University of Technology.
    14.
  14. Roghanizadeh, M. (2006). Mathematical analysis of the Iranian’s pension funds situation.  Sahfi Publications.
    15.
  15. Shao, W., Hao, Y., Chen, K., Liu, B. (2013). Study on china's pension gap based on system dynamics. International journal of engineering and industries, 4(4), 27.
    16.
  16. Statistics and Accounting of Social and Economic Office. (2019). Selected statistics of 2018[yearbook]. Tehran: Social Security Organization. https://www.tamin.ir.
    17.
  17. Statistics and Demographic Information and Immigration Office. (2016). demographic statistics [yearbook]. National Organization for Civil Registration.
    18.
  18. Statistics and Strategic Information Center. (2019). Statistics of the ministry of cooperatives Labor and Social Welfare 2018. Ministry of Cooperatives Labor and Social Welfare. http://www.amarkar.ir/
    19.
  19. Statistics, Information Technology and Insurance Computing Office. (2019). demographic statistics of 2018[yearbook]. Social Insurance Fund for Farmers, Villagers and Nomads.
    20.
  20. Sterman, J. D. (2000). Business dynamics, system thinking and modeling for a complex world. Irwin, McGraw-Hill.
    21.
  21. Systems Planning and Development Office. (2016). Statistical report of the Civil Servants Pension Organization. Civil Servants Pension Organization. https://www.cspf.ir/
    22.
  22. Verejan, O., Bradu, M., Hirbu, E., Tacu, M., Verejan, V. (2018). Indicators of analysis and monitoring: A Public pension system. International Journal of Advances in Management, Economics and Entrepreneurship. 05(04), 117-144.
    23.
  23. World Bank. (2017). Iran Economic Monitor: Oil-Driven Recovery, special focus on iran’s pension system:the need for reform. Washington, DC. © World Bank. https://openknowledge.worldbank.org/handle/10986/27556 License: CC BY 3.0 IGO.”
    24.

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