تأثیر شوک‌های اقتصادی بر نرخ رشد جمعیت روستایی در استان‌های ایران

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار گروه علوم سیاسی، دانشکده ادبیات و علوم انسانی، دانشگاه بیرجند، بیرجند، ایران

2 دکتری اقتصاد، کارشناس اقتصادی ، اداره کل امور اقتصادی و دارایی خراسان جنوبی، بیرجند، ایران

چکیده

نرخ رشد جمعیت از جمله عوامل تأثیرگذار بر رشد و توسعه اقتصادی یک کشور محسوب‌می‌شود. طی چند سال گذشته، رشد این متغیر در ایران کاهش چشمگیری داشته است که یکی از دلایل این اتفاق، به بی‌ثباتی اقتصاد و نوسانات حاصل از آن بر می‌گردد و مشوق‌ها و سیاست‌های افزایش جمعیت نیز نتوانسته است کارساز باشد. هدف این پژوهش بررسی اثرات شوک‌های اقتصادی بر نرخ رشد جمعیت روستایی استان‌های ایران بوده است. بدین‌منظور، برای بررسی اثرات شوک‌های اقتصادی از مدل بیزین پنل‌ور (Bayesian Panel VAR) در نرم‌افزار متلب طی بازه زمانی 1376-1401 بهره گرفته شد. داده‌های سری زمانی موردنیاز از بانک مرکزی و مرکز آمار ایران استخراج شد. نتایج پژوهش نشان داد که نرخ تورم، نرخ ارز و ضریب جینی اثر منفی بر نرخ رشد جمعیت روستایی استان‌ها گذاشته‌اند. اثر شوک رشد اقتصادی و درآمد خانوار در دوره‌های ابتدایی و کوتاه مدت برای اکثر استان‌ها باعث افزایش نرخ رشد جمعیت روستایی شده اما با گذشت زمان و در دوره‌های بلندمدت به‌دلیل افزایش مهاجرت از روستا به شهر، اثر آن منفی شده و منجر به کاهش نرخ رشد این متغیر می‌گردد. با این حال، این امکان وجود داشت که مهاجرت معکوس نیز داشته‌باشیم؛ اما علی‌رغم امکانات، به‌دلیل افراد بازنشسته، تأثیر چندانی در نرخ رشد ندارد. نتایج حاصله برای تمامی استان‌ها معنادار به‌دست آمد. علاوه بر این، نتایج تجزیه واریانس نشان داد که پس از 20 دوره، برای تمامی استان‌ها نرخ تورم بیشترین تأثیر (به‌استثنای اثر خود متغیر) را بر روی نرخ رشد جمعیت روستایی داشته و ضریب جینی در اکثر استان‌ها دارای کمترین اثر بر این متغیر بوده است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

The Impact of Economic Shocks on Rural Population Growth Rates Across Iranian Provinces

نویسندگان [English]

  • ahmad bakhshi 1
  • Yaghob Fatemi 2
1 Associate Professor, Department of Political Science, Faculty of Literature and Humanities, University of Birjand, Birjand, Iran
2 Ph.D. in Economic, Economic expert, Economic and Financial Affairs Directorate General of South Khorasan province, Birjand, Iran.
چکیده [English]

Introduction
In recent decades, many countries have faced declining population growth rates and have implemented various policy measures to reverse this trend. Among the key factors contributing to the decline in population growth are economic variables and the associated macroeconomic instabilities. Economic cycles and their resulting fluctuations significantly affect demographic structures and shift long-term population dynamics. There are multiple mechanisms through which economic conditions influence population trends. These include:

The effects of economic uncertainty (Hofmann & Hohmeyer, 2013),
Job instability and labor market volatility (Modena et al., 2014),
Unemployment among both native and immigrant populations (Tragaki & Bagavos, 2014; Cazzola et al., 2016),
Fluctuations in housing and mortgage markets (Schneider, 2015),
Increased mortality during economic downturns (Lusardi et al., 2015; Stuckler et al., 2015),
Impacts on the labor market (Gil Alonso et al., 2016), and
Indirect influences on fertility, such as delayed marriage (Goldstein et al., 2013) or reduced marriage rates (Kreyenfeld et al., 2012; Lee & Painter, 2013).

Iran, in particular, has experienced prolonged periods of international sanctions over the past few decades. These sanctions have severely constrained the country's primary source of revenue—oil exports—and destabilized its macroeconomic environment. As a result, key economic indicators have undergone significant fluctuations, posing major challenges to the national economy and indirectly affecting population growth patterns.
Despite the critical importance of this issue, there has been limited academic attention, especially at the regional (provincial) level. Most existing studies have focused on national-level population growth, with very few examining the impact of economic shocks on rural population dynamics. Notably, no study to date has investigated how provincial-level rural population growth in Iran responds to economic shocks. Therefore, understanding these relationships is crucial for mitigating the negative consequences and formulating effective policy responses.
 
Methodology
This study aims to investigate the effects of economic shocks on the rural population growth rates across Iranian provinces. Due to data limitations regarding Alborz Province, it was combined with Tehran Province for analytical purposes. To achieve this objective, a Bayesian Panel VAR (Vector Autoregression) model was employed using MATLAB software. The analysis covers the period from 1997 to 2022, allowing sufficient time to capture both short- and long-term impacts of economic shocks on rural demographics.
 
Findings
Among the variables analyzed, household income and economic growth were found to be stationary at the level, whereas other variables became stationary after first differencing. Based on Pedroni’s cointegration test and Kao’s test, a long-term relationship between the selected variables was confirmed. The results indicate that inflation, exchange rate fluctuations, and income inequality (Gini coefficient) have a negative effect on rural population growth rates across provinces. In contrast, economic growth and household income show a positive short-term effect on rural population growth in most provinces. However, over the long term, this effect turns negative, likely due to increased migration from rural to urban areas, which ultimately reduces rural population growth.
These findings were found to be statistically significant across all provinces.
According to the variance decomposition results, after 20 periods:

Inflation rate had the greatest impact on rural population growth (excluding the self-effect of the variable itself),
The Gini coefficient had the least impact in most provinces.
The highest auto-predictive power (self-effect) was observed in Yazd Province (96.84%),
The lowest was in West Azerbaijan Province (59.06%).

For the contribution of each independent variable to rural population growth:

West Azerbaijan: Most affected by inflation,
Tehran: Most affected by economic growth,
Razavi Khorasan: Most affected by the Gini coefficient,
Mazandaran: Most affected by government expenditures,
West Azerbaijan: Also, most affected by exchange rate.

Conversely, Yazd Province showed the lowest response to shocks in all variables, indicating relatively stable rural population dynamics.
 
Discussion and Conclusion
The empirical results underscore the significant role of economic factors in shaping rural population growth trends in Iran. Given the country's limited economic diversification and its susceptibility to external shocks—particularly international sanctions—it is essential to adopt strategic approaches to stabilize key economic indicators. Sanctions have restricted access to foreign currency and triggered severe economic disruptions. These shocks, in turn, have cascading effects on public revenues, leading to adjustments in imports, inflation, foreign exchange reserves, and public expenditures—ultimately influencing demographic outcomes. Therefore, promoting constructive diplomacy and implementing macroeconomic stabilization policies are vital to mitigate the adverse effects of economic shocks and protect vulnerable sectors like rural communities. Additionally, the negative relationship between the Gini coefficient and rural population growth highlights the importance of addressing income inequality. Since agriculture remains a dominant sector in rural economies, policies aimed at improving rural livelihoods can help curb out-migration to urban centers. Future research should consider incorporating spatial heterogeneity more explicitly and explore the non-linear effects of economic shocks on rural demography. A deeper understanding of these dynamics will better inform targeted interventions and sustainable rural development strategies.

کلیدواژه‌ها [English]

  • Economic shocks
  • Rural population growth
  • Income inequality
  • Bayesian Panel VAR
  • Macroeconomic stability
  • Iran
ابریشمی، حمید، برخورداری، سجاد، جدیدزاده، علی و عبدی، مائده. (1402). اثر متغیرهای جمعیت‏‌شناختی بر پویایی درآمد خالص خانوارهای شهری و روستایی. پژوهش‌های برنامه و توسعه، 4(1)، 67-99. https://doi.org/10.22034/pbr.2023.363360.1275
اخگری, مهدی و قاسمیان مقدم, علیرضا . (1402). اولویت بندی عوامل موثر بر تاب آوری اقتصادی خانوارهای روستایی در برابر خشکسالی (مورد مطالعه: بخش دستگردان شهرستان طبس). روستا و توسعه پایدار فضا، 4(2)، 112-129.doi: 10.22077/vssd.2023.5530.1121
اسنودان، برایان، هوارد، آر. وین. (1401). اقتصاد کلان جدید (منشأ، سیر تحول و وضعیت فعلی) (منشور خلیلی عراقی و علی سوری، مترجمان). انتشارات سمت. ISBN: 9789645308795
افقه، سید مرتضی، منصوری، سید امین، ملتفت، حسین و بهاروند، پرستو. (1401). بررسی اثر تغییرات جمعیتی و سرمایه انسانی بر رشد اقتصادی در ایران. اقتصاد باثبات. 3(1)، 161-185. https://doi.org/10.22111/sedj.2022.40383.1142
سایه میری، علی، نیک گفتار، لیلی، عسگری، حشمت‌الله، شایان، عبدلله. (1399). فراتحلیل تأثیر رشد جمعیت بر رشد اقتصادی و رفاه اجتماعی. فصلنامه علمی پژوهشی دانشگاه علوم پزشکی استان کردستان، 20(79)، 119-152. https://dor.isc.ac/dor/20.1001.1.17358191.1399.20.79.4.6
شایان, حمید , عرفانی, زینب و سجاسی قیداری, حمداله . (1400). تحلیل مقایسه‌ای مهاجرت معکوس(شهری- روستایی) ایران در مقیاس استانی. روستا و توسعه پایدار فضا. 2(3)، 1-18.doi: 10.22077/vssd.2021.4791.1044
صفدری، حمید، سلیمی‌فر، مصطفی و ناجی میدانی، علی‌اکبر. (1397). اثر رشد جمعیت (با رویکرد اقتصاد دانش بنیان) بر نوآوری در کشورهای منتخب OECD طی دوره زمانی (2013 - 1995). در چکیده مقالات کنفرانس ملی الگوهای نوین در مدیریت و کسب و کار با رویکرد حمایت از کارآفرینان ملی . تهران. https://www.noormags.ir/view/en/articlepage/1809540
طاهری‌فرد، علی، قدیری‌نژادیان، محمد حمزه، کریمی‌بیرانوند، محمود و فروغی‌زاده، یاسین. (1394). اثر افزایش نرخ ارز بر هزینه خانوار از کانال واردات (تحلیل داده ستانده). پژوهش‌های اقتصادی ایران، 4(13)، 257-272. https://dor.isc.ac/dor/20.1001.1.23222530.1394.4.13.14.1
عنابستانی, علی اکبر , قنبری, سیروس , پورجوپاری, مرضیه و خدادادی, علی . (1401). ارزیابی تاثیر سیاست‌های جمعیتی دولت بر پایداری سکونتگاه‌های روستایی (مطالعه موردی: شهرستان کرمان). روستا و توسعه پایدار فضا،3(2)، 1-24. doi: 10.22077/vssd.2022.5182.1093
غفاری‌فرد، محمد، رضایی، حسین، یوسفزی، داود. (1402). مدل‌سازی تأثیر میزان رشد جمعیت بر متغیرهای کلان اقتصادی در ایران (رویکرد پویایی سیستمی). جمعیت , 28(117 و 118), 71–95. https://ensani.ir/fa/article/540756
فاطمی زردان، یعقوب، فطرس، محمدحسن، سپهردوست، حمید و خضری، محسن. (1400). تأثیرات تکانه‌های کلان اقتصادی بر مطلوبیت و متوسط مخارج سالانه خانوار در استان‌های ایران (رساله دکتری تخصصی). دانشکده علوم اقتصادی و اجتماعی، دانشگاه بوعلی سینا همدان.
قنبری جهرمی, محمدحسین , استکی, جواد و نظری, حمید . (1403). مطالعه علل و پیامدهای روند مهاجرت منطقه ای به استان اصفهان با استفاده از نظریه زمینه ای. روستا و توسعه پایدار فضا, 5(4)، 93-114.doi: 10.22077/vssd.2024.7371.1236
محبی میمندی، مهیار، کوششی، مجید و سوری، علی. (1401). رشد جمعیت، تغییر ساختار سنی و پیامدهای اقتصادی آن در ایران: تجزیه و تحلیل سهم گروه‌های سنی. نامه انجمن جمعیت‌شناسی ایران.17(34)، 309-346. https://doi.org/10.22034/jpai.2023.563001.1253
الهی، ناصر، نجارزاده، ابوالفضل و عسگری، مهدی. (1393). ارزیابی ماندگاری تورم در ایران. برنامه‌ریزی و بودجه. 19(3)، 47–68. https://dor.isc.ac/dor/20.1001.1.22519092.1393.19.3.8.6
 
References
Abrishami, H., Barkhordari, S., Jadidzadeh, A., & Abdi, M. (2023). The effect of demographic variables on dynamic net income in urban and rural households. Program and Development Research, 4 (1), 67–99. https://doi.org/10.22034/pbr.2023.363360.1275 (In Persian)
Afghah, M., Mansouri, S. A., Moltafet, H., & Baharvand, P. (2022). Investigating the effect of demographic changes and human capital on economic growth in Iran. Stable Economy Journal, 3 (1), 161–185. https://doi.org/10.22111/sedj.2022.40383.1142 (In Persian)
Akhgari, M., & Ghasemian Moghaddam, A. (2023). Prioritization of the effective factors on increasing the economic resilience of rural households against drought (Study case: Dastgerdan section of Tabas county). Village and Space Sustainable Development, 4 (2), 112–129. https://doi.org/10.22077/vssd.2023.5530.1121 (In Persian)
Anabestani, A., Ghanbari, S., Poujoupari, M., & Khodadadi, A. (2022). Evaluating the Effect of Government Population Policies on the Stability of Rural Settlements (Case Study: Kerman County). Village and Space Sustainable Development, 3 (2), 1–24. https://doi.org/10.22077/vssd.2022.5182.1093 (In Persian)
Dudkanlui, D., et al. (2018). The impact of population age structure and savings rates on Iran’s economic growth: A few regression functions. Applied Economics, 8 (27). https://doi.org/10.22059/jte.2013.35174 (In Persian)
Elahi, N., Najarzadeh, A., & Asgari, M. (2014). Investigating the inflation persistence in Iran. Journal of Planning and Budgeting, 19 (3), 47–68. https://doi.org/10.22059/jpbud.2013.35174 (In Persian)
Fatemi Zardan, Y., Fitras, M. H., Sepherdost, H., & Khazri, M. (2021). Effects of macroeconomic shocks on households' utility and annual average expenditures in Iran provinces (Unpublished doctoral dissertation). Faculty of Economic and Social Sciences, Bu-Ali Sina University, Hamadan. (In Persian)
Adeosun, O. T., & Popogbe, O. O. (2021). Population growth and human resource utilization nexus in Nigeria. Journal of Humanities and Applied Social Sciences, 3 (4), 281–298. https://doi.org/10.1108/JHASS-06-2020-0088
Adewole, A. O. (2012). Effect of population on economic development in Nigeria: A quantitative assessment. International Journal of Physical and Social Sciences, 4 (2), 47–51. https://www.indianjournals.com/ijor.aspx?target=ijor:ijpss&volume=2&issue=5&article=001
Ahmed, S. A., & Cruz, M. (2018). On the impact of demographic change on economic growth and poverty. World Development, 105 , 95–106. https://doi.org/10.1016/j.worlddev.2017.12.018
Bell, M., Charles-Edwards, E., Ueffing, P., Stillwell, J., Kupiszewski, M., & Kupiszewska, D. (2015). Internal migration and development: Comparing migration intensities around the world. Population and Development Review, 41 (1), 33–55. https://doi.org/10.1111/j.1728-4457.2015.00025.x
Bloom, D. E., Chatterji, S., Kowal, P., Lloyd-Sherlock, P., McKee, M., Rechel, B., ... & Yusuf, S. (2015). Macroeconomic implications of population ageing and selected policy responses. The Lancet, 385 (9968), 649–657. https://doi.org/10.1016/S0140-6736(14)61464-1
Bucci, A., Eraydın, L., & Müller, M. (2019). Dilution effects, population growth and economic growth under human capital accumulation and endogenous technological change. Journal of Macroeconomics, 62 , 103365. https://doi.org/10.1016/j.jmacro.2018.08.003
Canova, F., & Ciccarelli, M. (2004). Forecasting and turning point predictions in a Bayesian panel VAR model. Journal of Econometrics, 120 (2), 327–359. https://doi.org/10.1016/S0304-4076(03)00216-1
Day, C., & Day, G. (2021). Aging, voters and lower-income tax: A role for pension design. Economic Modelling, 94 , 560–569. https://doi.org/10.1016/j.econmod.2020.02.002
Erdogan, M., & Unver, M. (2015). Determinants of foreign direct investments: Dynamic panel data evidence. International Journal of Economics and Finance, 7 (5), 82. https://doi.org/10.1186/s13731-022-00262-z
Easterly, W., & Fischer, S. (2001). Inflation and the poor. Journal of Money, Credit and Banking, 33 (2), 160–178.
Ghafarifard, M., Rezaei, H., & Yousafzai, D. (2022). Modeling the effect of population growth on macroeconomic variables in Iran (system dynamics approach). Population Quarterly, 28 (117–118), 71–95. https://ensani.ir/fa/article/540756 (In Persian)
Ghanbari Jahromi, M. H., & Esteki, J. (2024). Studying the causes and consequences of regional migration to Isfahan province using grounded theory. Village and Space Sustainable Development . Advance online publication. https://doi.org/10.22077/vssd.2024.7371.1236 (In Persian)
Moheby Meymandi, M., Koosheshi, M., & Souri, A. (2023). Population growth, changing age structure and its economic consequences in Iran: Decomposition and analysis of the share of age groups. Journal of Population Association of Iran, 17 (34), 309–346. https://doi.org/10.22034/jpai.2023.563001.1253 (In Persian)
Norouzzadeh, A. (2022). Factors affecting the migration of rural youth in Ardabil province by mixed methods. Village and Space Sustainable Development, 3 (3), 83–101. https://doi.org/10.22077/vssd.2022.5196.1095 (In Persian)
Safdari, H., Salimifar, M., & Naji Maidani, A. A. (2017). The effect of population growth (with a knowledge-based economy approach) on innovation in selected OECD countries during the period (1995–2013). In National Conference on New Models in Management and Business with the Approach to Supporting National Entrepreneurs . Tehran. (In Persian)
Sayehmiri, A., Nekgoftar, L., Askar, H., & Shayan, A. (2021). A meta-analysis of population growth impact on economic growth. Refah Journal, 20 (79), 119–152. https://doi.org/10.20912/rjvs.2021.20.79.4 (In Persian)
Shayan, H., Erfani, Z., & Sojasi Ghidari, H. (2021). Comparative analysis of reverse migration (urban-rural) in Iran on a provincial scale. Village and Space Sustainable Development, 2 (3), 1–18. https://doi.org/10.22077/vssd.2021.4791.1044 (In Persian)
Taheri Fard, A., Ghadirinezhadian, M. H., Karimi, M., & Foroghizadeh, Y. (2015). The effect of rising exchange rate on the household expenditure through imports: An input-output analysis. Journal of Applied Economics Studies in Iran, 4 (13), 257–272. https://doi.org/10.22077/jpbud.2015.14.1 (In Persian)
Snowdon, B., & Vane, H. R. (2005). Modern macroeconomics: Its origins, development and current state (M. Khalili Iraqi & A. Souri, Trans.). Samit Publications. ISBN: 9789645308795 (In Persian)
Gil-Alonso, F., Bayona-i-Carrasco, J., & Pujadas-i-Rúbies, I. (2016). From boom to crash: Spanish urban areas in a decade of change (2001–2011). European Urban and Regional Studies, 23 (2), 198–216. https://doi.org/10.1177/0969776413498
Goldstein, J. R., Kreyenfeld, M., Jasilioniene, A., & Örsal, D. K. (2013). Fertility reactions to the “Great Recession” in Europe: Recent evidence from order-specific data. Demographic Research, 29 , 85–104. https://doi.org/10.4054/DemRes.2013.29.4
Golini, A., & Moretti, E. (2011). Is immigration the answer to the aging problem in the lowest-low fertility countries? An introduction. Genus, LXVII (3), 31–35. https://www.jstor.org/stable/genus.67.3.31
Harper, S. (2014). Economic and social implications of aging societies. Science, 346 (6209), 587–591. https://doi.org/10.1126/science.1254405
Hofmann, B., & Hohmeyer, K. (2013). Perceived economic uncertainty and fertility: Evidence from a labor market reform. Journal of Marriage and Family, 75 (2), 503–521. https://doi.org/10.1111/jomf.12011
Jha, N. K., & Saritha, R. (2019). Female labour force participation (FLFP) and its significance in economic growth of India: An overview. Research Journal of Humanities and Social Sciences, 10 (2), 270–278. https://doi.org/10.5958/2321-5828.2019.00049.4
Koop, G. M. (2003). Bayesian econometrics . John Wiley & Sons Inc. https://www.amazon.com/Bayesian-Econometrics-Gary-Koop/dp/0470845678
Kreyenfeld, M., Andersson, G., & Pailhé, A. (2012). Economic uncertainty and family dynamics in Europe: Introduction. Demographic Research, 27 , 835–852. https://doi.org/10.4054/DemRes.2012.27.28
Latimer, A., & Kulkarni, K. (2008). Population and economic development: A comparative analysis of Brazil and Mexico. Paper Presentation . https://doi.org/10.1016/j.jum.2021.06.007
Le, D. T., & Park, H. (2020). The impact of demographic change on economic growth. The Singapore Economic Review, 65 (02), 471–484. https://doi.org/10.1142/S0217590819500401
Lee, K. O., & Painter, G. (2013). What happens to household formation in a recession? Journal of Urban Economics, 76 , 93–109. https://doi.org/10.1016/j.jue.2013.03.004
Li, Z., Cheng, J., & Wu, Q. (2016). Analyzing regional economic development patterns in a fast-developing province of China through geographically weighted principal component analysis. Letters in Spatial and Resource Sciences, 9 , 233–245. https://doi.org/10.1007/s12076-015-0154-2
Lusardi, A., Schneider, D., & Tufano, P. (2015). The economic crisis and medical care use: Comparative evidence from five high-income countries. Social Science Quarterly, 96 (1), 202–213. https://doi.org/10.1111/ssqu.12076
Nauman, E., VanLandingham, M., & Anglewicz, P. (2016). Migration, urbanization and health. In M. White & P. Rees (Eds.), International Handbook of Migration and Population Distribution (pp. 451–463). Springer. https://doi.org/10.1007/978-94-017-7282-2
Onwuka, E. C. (2006). Another look at the impact of Nigeria’s growing population on the country’s development. African Population Studies, 21 (1). https://doi.org/10.11564/21-1-347
Reynaud, C., & Miccoli, S. (2019). Population ageing in Italy after the 2008 economic crisis: A demographic approach. Futures, 105 , 17–26. https://doi.org/10.1016/j.futures.2018.07.011
Romer, C. D., & Romer, D. H. (1998). Monetary policy and the well-being of the poor (NBER Working Paper No. 6793). National Bureau of Economic Research. https://www.nber.org/papers/w6793
Sadigov, R. (2022). Rapid growth of the world population and its socioeconomic results. The Scientific World Journal, 2022 . https://doi.org/10.1155/2022/8110229
Schneider, D. (2015). The great recession, fertility, and uncertainty: Evidence from the United States. Journal of Marriage and Family, 77 (5), 1144–1156. https://doi.org/10.1111/jomf.12212
Simon, J. L. (2019). The economics of population growth . Princeton University Press. ISBN: 9780691656292
Todaro, M., & Smith, S. (2006). Economic development (9th ed.). Pearson Education. https://www.amazon.com/Economic-Development-9th-Michael-Todaro/dp/0321278887
Tragaki, A., & Bagavos, C. (2014). Male fertility in Greece: Trends and differentials by education level and employment status. Demographic Research, 31 , 137–160. https://doi.org/10.4054/DemRes.2014.31.6
Yakubu, M. M., Akanegbu, B. N., & Jelilov, G. (2020). Labour force participation and economic growth in Nigeria. Advances in Management and Applied Economics, 10 (1), 1–14. https://ideas.repec.org/a/spt/admaec/v10y2020i1f10_1_1.html