تبیین پیامدهای اقتصادی حرکات جمعیتی (مهاجرفرستی و مهاجرپذیری) در سکونتگاه‌های روستایی شهرستان لنگرود

نوع مقاله : مقاله علمی پژوهشی

نویسندگان

گروه جغرافیا، واحد رشت، دانشگاه آزاد اسلامی، رشت، ایران

10.22059/jhgr.2024.367571.1008644

چکیده

پژوهش حاضر با هدف تبیین پیامدهای اقتصادی حرکات جمعیتی در روستاهای شهرستان لنگرود انجام‌شده است، در این راستا از نظر هدف، کاربردی و بر حسب ماهیت کیفی و کمی است، و به لحاظ روش و نحوه اجراء از نوع مصاحبه، پیمایشی و اکتشافی، توصیفی-تحلیلی می‌باشد. همچنین به‌منظور تجزیه‌وتحلیل اطلاعات از نرم‌افزار SPSS استفاده‌شده است. جامعه آماری ساکنین روستاهای 7 دهستان (چاف، دیوشل، گل سفید، اطاقور، لات لیل، دریاسر، مریدان) که تعداد 368 نفر به‌عنوان حجم نمونه؛ و متخصصان و نخبگان و افراد مطلع و آگاه در روستاها که بر اساس نمونه‌گیری هدفمند تعداد 30 نفر تعیین شدند، را شامل شده‌اند. نتایج نشان داد، 5 پیامد اقتصادی حرکات جمعیتی (مهاجر فرستی)، که شامل: بیکاری پنهان در بین مهاجران، رخنه بی‌انگیزگی در اشتغال در فعالیت‌های کشاورزی و دامداری در روستاها، کاهش شکاف جامعه شهری و روستایی در تولید محصولات غذایی و نوع سبک غذایی، کسب موقعیت بهتر اقتصادی برای مهاجران و خانواده‌های آنان در روستا، سرمایه شدن زمین و مسکن در روستاها، شناسایی شدند که رخنه بی‌انگیزگی اشتغال در فعالیت‌های کشاورزی و دامداری در روستاها، بیشترین میزان اهمیت را به خود اختصاص داده است. در ادامه نیز 5 پیامد اقتصادی مهاجرپذیری شامل: پیامد منفی: نئولیبرالیسون و رانت‌بازی در روستاها و پیامدهای مثبت: هویت در زمین‌های روستایی، شکوفایی اشتغال روستاها، افزایش بهره‌وری در روستا و کسب پول و سرمایه در روستاها، شناسایی شدند، که از بین آن‌ها نئولیبرالیسون و رانت بازی در روستاها بیشترین میزان اهمیت را به خود اختصاص داده است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Explaining the economic consequences of population movements (immigration and immigration) in the rural settlements of Langrod County

نویسندگان [English]

  • Mohammad Akbarzadeh
  • Nasrollah Molaei Hashjin
  • Eisa Pourramzan
Department of Geography, Rasht Branch, Islamic Azad University, Rasht, Iran
چکیده [English]

ABSTRACT
The current research was conducted with the aim of explaining the economic consequences of population movements in the villages of Langrod city. In this regard, it is practical in terms of purpose and qualitative and quantitative in nature. In terms of the method and method of implementation, it is interview, survey, and exploratory. It is descriptive-analytical. SPSS software was also used to analyze the data. The results showed five economic consequences of population movements (immigration), which include hidden unemployment among immigrants, lack of motivation in employment in agriculture and animal husbandry activities in villages, reducing the gap between urban and rural society in the production of food products and food style, obtaining a better economic position for the immigrants and their families in the village, the capitalization of land and housing in the villages, it was identified that the lack of motivation to work in agriculture and animal husbandry activities in the villages is the most important. In the following, there are five economic consequences of accepting immigrants, including negative consequences as neo-liberalization and rent-seeking in the villages. Moreover, the positive consequences such as identity in rural lands, flourishing employment in villages, increasing productivity in the village, and earning money and capital in the villages were identified, among which neo-liberalization and rent playing in the villages are the most important.
Extended Abstract
Introduction
About a century ago, half of Iran’s population lived in rural areas. However, at the beginning of the last century—especially in recent decades—the share of the rural population gradually declined as urbanization expanded. The phenomenon of population movement coincided with the industrialization of cities, leading many young people to migrate from villages to urban areas in search of industrial and service-sector jobs. This migration had positive effects, including economic improvement, increased youth awareness, better education, and enhanced social connections. On the other hand, negative consequences also emerged, such as young people losing ties with their families in rural areas, disruptions in gender ratios in both villages and cities, increased crime and social issues, and the rise of urban slums. While rural-to-urban migration in Iran has historically been one-way, in the past decade, a reverse migration trend has intensified, with more people returning to rural areas.
A preliminary examination of rural migration patterns in Gilan province and its counties reveals several contributing factors. Issues such as low rural incomes, widespread unemployment in the agricultural sector, inadequate service infrastructure in villages, and better employment and income opportunities in urban areas have intensified rural-to-urban migration in recent years. Since this migration is predominantly youth-driven, the departure of young individuals from villages has resulted in a decline in population growth, an increase in the aging population ratio, and reduced agricultural production due to an aging workforce. However, along with its economic effects, various rural attractions—such as clean air, the absence of urban problems, high urban living costs, psychological and environmental pressures, and the expansion of transportation networks—have encouraged a reverse migration trend (urban-to-rural relocation). This shift in population movement has helped ease the challenges faced by counties like Langarud, while also leading to the revitalization of rural areas through increased job opportunities, investment growth, and overall rural development. Therefore, understanding the economic impacts of population movements in Langarud’s rural settlements can serve as a valuable tool in the decision-making and planning processes of local officials. Given the intensity and persistence of migration patterns (both outbound and inbound) in Langarud’s villages over recent decades, this study aims to analyze and interpret the economic effects of these demographic shifts using a combination of quantitative and qualitative methods.
 
Methodology
This study is applied in nature and employs both qualitative and quantitative methods. In terms of research approach and execution, it follows an exploratory, descriptive-analytical design using interviews and surveys as primary techniques. Additionally, SPSS software has been utilized for data analysis. The statistical population consists of residents from seven rural districts—Chaf, Dioushal, Gol Sefid, Otaghour, Lat Lil, Daryasar, and Moridan—where 368 individuals were selected as the sample size. In the second phase, experts, scholars, and knowledgeable individuals from the villages were included, with 30 participants chosen through purposive sampling.
 
Results and discussion
The findings identified five economic impacts of outbound migration, which include hidden unemployment among migrants, declining motivation for employment in agriculture and livestock farming in villages, reduced urban-rural disparities in food production and dietary habits, improved economic status for migrants and their families in rural areas, and the capitalization of land and housing in villages. Among these, the declining motivation for agricultural and livestock employment was found to be the most significant factor. Additionally, five economic impacts of inbound migration were recognized. The negative impact was neoliberalization and rent-seeking in villages, while the positive impacts included strengthened rural land identity, revitalization of rural employment, increased productivity in villages, and greater financial investment in rural areas. Among these, neoliberalization and rent-seeking were highlighted as the most influential factors.
These findings reveal that rural migration has led to five economic consequences, with the most significant being a decline in motivation for agricultural and livestock-related work. This phenomenon signals a critical transformation in rural value systems, where traditional productive occupations are losing their status as a source of pride and sustainable income. As fewer individuals engage in these sectors, the rural economy faces challenges that could reshape its future.
 
Conclusion
The research findings indicate that planning to reduce migration in the rural areas of Langarud County requires a fundamental transformation. This shift must be based on redefining the relationship between local communities, specialized institutions, and territorial resources.Transformation must also be based on spatial planning, meaning that by identifying and utilizing capable rural leaders and local communities, we can not only bring capital into rural areas but also revitalize existing rural resources through the use of knowledgeable elites in villages. By identifying economic and social capacities and potentials, we can prevent the migration of elites, youth, and labor forces. Thus, any migration reduction strategy should begin with a precise understanding of the real concerns of rural residents. This process demands in-depth field studies and the design of an incentive system aligned with local values. Without such understanding, rural communities may resist these programs. Additionally, professional institutions must evolve from mere decision-makers to active facilitators, engaging in participatory learning, direct collaboration in project implementation, and integrating indigenous knowledge with scientific expertise. Successful execution of these strategies calls for strong commitment from all stakeholders. Only through structural transformation can we achieve sustainable migration reduction and balanced regional development. The planning process must preserve rural identity, enhance quality of life, and create sustainable economic opportunities.
 
Funding
There is no funding support.
 
Authors’ Contribution
Authors contributed equally to the conceptualization and writing of the article. All of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none.
 
Conflict of Interest
Authors declared no conflict of interest.
 
Acknowledgments
We are grateful to all the scientific consultants of this paper.

کلیدواژه‌ها [English]

  • Economic consequences
  • population movements
  • rural settlements
  • Migration
  • Langrod County
  1. افراخته، حسن؛ ریاحی، وحید و جوان، فرهاد. (1394). پایداری اقتصادی سکونتگاه‌های روستایی شهرستان رضوانشهر. جغرافیا (فصلنامه علمی انجمن جغرافیایی ایران)، 13(46)، 93-117.
  2. افراخته، حسن؛ منافی‌آذر، رضا و ولائی، محمد. (1395). اثرات مکانی ـ فضایی مهاجرت بازگشتی در شهرستان میاندوآب. مجله پژوهش و برنامه‌ریزی روستایی، 5(13)، 83-98. https://doi.org/10.22067/jrrp.v5i1.43612
  3. اکبرپور، محمد. (1396). واکاوی تأثیر شبکه‌های مهاجرت‌های روستایی بر کلان‌شهر کرج (مطالعه موردی: دهستان کوهسار- شهرستان هشترود). فصلنامه علمی برنامه‌ریزی منطقه‌ای، 7(27)، 117-132. Dor:20.1001.1.22516735.1396.7.27.9.6
  4. جامکو، طاهره؛ یزدانفر، سیدعباس؛ حسینی، سید باقر و صدیق‌پور، بهرام صالح. (1401). اکتشاف مؤلفه‌های مؤثر بر مهاجرت ساکنین از بافت قدیم مرکز شهر تهران و راهبردهای جذب ساکنین با استفاده از تحلیل عامل Q. پژوهش‌های جغرافیای انسانی، 54(4)، 1529-1544. https://doi.org/10.22059/jhgr.2021.325208.1008346
  5. زارعی‌ابیانه، محمدحسین؛ سلمانی، محمد؛ قدیری معصوم، مجتبی؛ دربان‌آستانه، علیرضا و ترکاشوند، زهرا. (1403). نقش مهاجرت معکوس در توسعه اقتصادی مطالعه موردی: روستاهای شهرستان نظنز. پژوهش‌های جغرافیانی انسانی، 56 (2)، 255-269. https://doi.org/10.22059/jhgr.2024.367579.1008645
  6. زکی، محمدعلی. (1391). اثر مهاجرت بر ساخت اجتماعی اقتصادی جوامع شهری (مطالعه موردی: مقایسه شاهین‌شهر با خمینی‌شهر). مطالعات جامعه‌شناختی شهری (مطالعات شهری)، 2(2)، 83-112.
  7. سازمان مدیریت و برنامه‌ریزی استان گیلان. (1395). فرهنگ آبادی‌های سال 1395 شهرستان لنگرود، رشت، معاونت آمار و اطلاعات.
  8. شیخ بیگلو رعنا و سلطانی زهرا. (1399). رضایتمندی مهاجران روستا-شهری از زندگی در کلان‌شهرها (مطالعه موردی: شهر اصفهان). رفاه اجتماعی، ۲۰ (۷۷)، ۳۰۰-۲۶۳.
  9. طاهری، محسن؛ ارمغان، سیمین و ولی‌شریعت‌پناهی، مجید. (1399). تبیین نقش مهاجرت‌های معکوس در توسعه اقتصادی-اجتماعی سکونتگاه‌های روستایی (موردمطالعه: روستاهای منطقه 19). نگرش‌های نو در جغرافیای انسانی، 12(4)، 76-92. Dor:20.1001.1.66972251.1399.12.4.5.3
  10. عزمی، آئیژ؛ میرزایی قلعه، فرزاد و شمسی، رقیه. (1392). چالش‌ها و مشکلات بخش کشاورزی و نقش آن در مهاجرت از روستا به شهر (مطالعه موردی: دهستان شیرز شهرستان هرسین). آمایش فضا و ژئوماتیک، ۱۷ (۲)، ۵۵-۷۰.
  11. قاسمی اردهایی، علی و نوبخت، رضا. (1395). علل و تعیین‌کننده‌های جریان‌های مهاجرت معکوس در ایران. نامه انجمن جمعیت‌شناسی ایران، 11(22)، 42-71. Dor:20.1001.1.1735000.1395.11.22.2.26
  12. قاسمی، مریم؛ جوان، جعفر و صابری، زهرا. (1393). تحلیلی بر علل شکل‌گیری مهاجرت معکوس در نواحی روستایی شهرستان بینالود. مطالعات جغرافیایی مناطق خشک، 5(16)، 15-37.
  13. قاسمی‌سیانی، محمد. (1388). پیامدهای مهاجرت روستا ـ شهری نسل جوان روستایی. فصلنامه پژوهش جوانان، فرهنگ و جامعه، 2(2)، 145-165.
  14. لوکاس، دیوید و میر، پا. (1381). درآمدی بر مطالعات جمعیتی، ترجمه حسین محمودیان، انتشارات دانشگاه تهران.
  15. مرکز آمار ایران. (1395). سرشماری عمومی نفوس و مسکن ۱۳۹۵. تهران: مرکز آمار ایران.
  16. منافی‌آذر، رضا؛ عبدالهی، عبداله؛ علیزاده، تیمور؛ ولائی، محمد و قاسمی‌اردهالی، علی. (1396). مهاجرت‌های بازگشتی و پیامدهای آن بر سکونتگاه‌های روستایی (مطالعه موردی: بخش باروق شهرستان میاندوآب). مطالعات برنامه‌ریزی سکونتگاه‌های انسانی، 12(38)، 197-179.
  17. مؤمنی، احمد؛ جهانشیری، ماندانا و ترکاشوند، زهرا. (1400). عوامل مؤثر بر رشد مهاجرت معکوس به سکونتگاه‌های پیراشهری نجف‌آباد. توسعه فضاهای پیراشهری، 3(5)، 183-198. Dor:20.1001.1.26764164.1400.3.1.11.5
  18. نیازی، مهدی؛ جعفری، حمید و علیزاده، کتایون. (1402). آشکارسازی انگیزه‌های پنهان روستاییان در زمینه مهاجرت (مطالعه موردی: روستاهای شهرستان خوسف). روستا و توسعه پایدار فضا، 4(13)، 139-152. https://doi.org/10.22077/vssd.2022.5437.1117
  19. یاسوری، مجید و جوان، فرهاد. (1394). تحلیل محدودیت‌های تنوع‌بخشی اقتصاد روستایی مورد: دهستان اشکور علیا. اقتصاد فضا و توسعه روستایی، ۴ (۱۳)، ۱۹-۳۷. https://doi.org/10.18869/acadpub.serd.4.13.19
  20. Abel, Guy J., & Nikola, S. (2014). Quantifying global international migration flows. Journal of Science, 343(6178)., 1520–1522. https://doi.org/10.1126/science.1248676
  21. Afrakhte, H., Riahi, V., & Javan, F. (2015). Economic sustainability of rural settlements in Razvanshahr County. Geography, 13(46), 93-117. [In Persian].
  22. Afrakhteh, H., Manafiazar, R., & Valaei, M. (2016). The Spatial-Local Effects of Return Migration in Miyandoab County. Journal of Research and Rural Planning, 5(1), 83-98. https://doi.org/10.22067/jrrp.v5i1.43612
  23. Akbarpour, M. (2017). The Analyze of the Networks of Rural Migrants in Karaj Metropolitan (Case study: Kohsar Rural District, Central District of Hashtroud City). Regional Planning, 7(27), 117-132. doi:20.1001.1.22516735.1396.7.27.9.6 [In Persian] 
  24. Anderson, James E. (2010). The gravity model. National Bureau of Economic Research. https://doi.org/10.1146/annurev-economics-111809-125114
  25. Azmi, A., Mirzaei Qaleh, F., & Shamsi, R. (2013). Challenges and Problems of the Agricultural Sector and Its Role in Rural-to-Urban Migration (Case Study: Shirz District, Harsin County). Spatial Planning and Geomatics, 17(2), 55-70.[In Persian]
  26. Chen, Z., Li, L., & Li, T. (2017). The organizational evolution, systematic construction and empowerment of Langde Miao s community tourism. Tourism Management, 50(1), 276-285. https://doi.org/10.1016/j.tourman.2016.03.012
  27. CHF. (2005). Sustainable Livelihoods Approach Guidelines, Partners in Rural Development, Chapel, Ottawa, Canada.
  28. Constant, Amelie F., & Klaus, F. Z. (2012). "The Dynamics of Repeat Migration: A Markov Chain Analysis. Journal of International Migration Review, 46(2). 362–388. https:// www.jstor.org/stable/23279470
  29. De Haas, H., Bakewell, O., Castles, S., Jónsson, G. & Vezzoli, S. (2009). Mobility and Human Development, International Migration Institute (IOM).
  30. Ghasemi Siyani, M. (2009). Consequences of rural-urban migration of the young rural generation. Youth. Culture and Society Research Quarterly, 2(2), 145-165. [In Persian]. 
  31. Ghasemi, M., Javan, J., & Saberi, Z. (2014). Analysis of the Causes of the Formation of Reverse Migration to Rural Areas Case Study: Binalood County. Journal of Arid Regions Geographic Studies, 5(16), 37-15. [In Persian] 
  32. Ghasemi-Ardahaee, A., & Noubakht, R. (2017). Causes and Determinants of Reverse Migration Flows in Iran. Journal of Population Association of Iran, 11(22), 42-71. doi:20.1001.1.1735000.1395.11.22.2.26 [In Persian] 
  33. Gilan Province Management and Planning Organization. (2016). The 2016 Rural Encyclopedia of Langarud County, Rasht, Statistics and Information Deputy. [In Persian] 
  34. Gnana, S. R. (2022). Why should people leave their villages and migrate to cities?. https://doi.org/10.13140/RG.2.2.17113.60007
  35. Hui, X. (2010). Return Migration, Occupational Change, and Self-Employment, China Perspectives [En ligne]. https://doi.org/10.4000/chinaperspectives.5343
  36. Jamakloo, T., Yazdanfar, S. A., Hosseini, S. B., & Saleh sedghpour, B. (2022). Exploring the most affecting factors on resident's migration in historic city center of Tehran and strategies for attracting residents, using the Q factor analysis. Human Geography Research, 54(4), 1544-1529. [In Persian] https://doi.org/10.22059/jhgr.2021.325208.1008346
  37. Karemera, D., Victor Iwuagwu, O., & Bobby, D. (2000). "A gravity model analysis of international migration to North America. Journal of Applied Economics, 32(13). 1745–1755. https://doi.org/10.1080/000368400421093
  38. Laczko, F., & Christine, A. (2009). "Migration, environment and climate change: Assessing the evidence. assessing the evidence. International Organization for Migration (IOM).
  39. Leal, Diego F, and Nicolas L. Harder. (2021). "Global dynamics of international migration systems across South–South, North–North, and North–South flows. 1990–2015. Journal of Applied Network Science, 6(1),1-27. https://doi.org/10.1007/s41109-020-00322-x
  40. Lewer, Joshua J., & Hendrik, V. d. B. (2008). A gravity model of immigration. Journal of Economics Letters, 99(1), 164–167. https://doi.org/10.1016/j.econlet.2007.06.019
  41. Liman, M., Falola, J., & Buba, L. F. (2023). Who Goes Where and How: Migration as An Adaptation Strategy in the West African Drylands. Migration and Diversity, 2(1), 89–107. https://doi.org/10.33182/md.v2i1.2905.
  42. Manafi Azar, R., Abdullahi, A., Alizadeh, T., Valai, M., & Ghasemi-Ardhali, A. (2016). Return migrations and its consequences on rural settlements (case study: Barouk section of Miandoab city). Human settlement planning studies, 12(38), 179-197. [In Persian] 
  43. Momeni, A., Jahanshiri, M., & Torkashvand, Z. (2021). Analysis of effective factors in the growth of reverse migration to suburban settlements of Najafabad. Preipheral Urban Spaces Development, 3(1), 183-198. [In Persian] 20.1001.1.26764164.1400.3.1.11.5
  44. Myers, Candice A., Tim, S., & Joachim, S. (2008). Social vulnerability and migration in the wake of disaster: the case of Hurricanes Katrina and Rita. Journal of Population and Environment, 29(6), 271–291. https://doi.org/10.1007/s11111-008-0072-y
  45. Niyazi, M., Jafari, H., & Alizadah, K. (2023). Revealing the Hidden Motivations of Villagers for Rural Migration: A Case Study of Khusf County. Village and Space Sustainable Development, 4(1), 139-152. https://doi.org/10.22077/vssd.2022.5437.1117 [In Persian] 
  46. Pacion, M. (1985). Rural Geography. Harpper and Row Publishers.
  47. Pappalardo, L., & Filippo, S. (2018). Data-driven generation of spatio-temporal routines in human mobility. Journal of Data Min ing and Knowledge Discovery, 32(3), 787–829. https://doi.org/10.1007/s10618-017-0548-4
  48. Paul, B., K. (2005). Evidence against disaster-induced migration: the 2004 tornado in North-Central Bangladesh. Journal of Disasters, 29(4), 370–385. https://doi.org/10.1111/j.0361-3666.2005.00298.x
  49. Ping, H., & Shaohua, Z. (2005). Internal Migration in China: Linking it to Development, Paper for Regional Conference on Migration and Development in Asia Lanzhou, China. Department for International Development (DFID). https:// hdl.handle.net/10356/86568
  50. Reuveny, R. (2007). Climate change-induced migration and violent conflict. Journal of Political Geography, 26(6), 656–673. https://doi.org/10.1016/j.polgeo.2007.05.001
  51. Rinzivillo, S., Gabrielli, L., Nanni, M., Pappalardo, L., Pedreschi, D., & Giannotti, F. (2014). The purpose of motion: learn ing activities from Individual Mobility Networks. In: 2014 International Conference on Data Science and Advanced Analytics (DSAA), 312–318. https://doi.org/10.1109/DSAA.2014.7058090
  52. Serrat, O. (2008). the Sustainable Livelihoods Approach. Manila: ADB. https://doi.org/10.1007/978-981-10-0983-9_5
  53. Shaykh-Baygloo, R., & Soltani, Z. (2020). Rural-urban migrations: various dimensions immigrants' satisfaction with living in metropolises; The case study: migrants inhabited in Isfahan city. Refahj, 20(77), 263-300. [In Persian] 
  54. Statistical Center of Iran. (2016). General Census of Population and Housing 2016. Tehran: Statistical Center of Iran. [In Persian]
  55. Taheri, M., Armaghan, S., & Vali Shariat Panahi, M. (2019). Explaining the role of reverse migrations in the socio-economic development of rural settlements (case study of villages in region 19). New Perspectives in Human Geography, 12(4), 76-92. dor:20.1001.1.66972251.1399.12.4.5.3 [In Persian] 
  56. Thieme, S. (2006). Social Networks and Migration, Far West Nepalese Labour Migrants in Delhi, Department of Geography. University of Zurich, Winter 190, 8057 Zurich, Switzerland. https://doi.org/10.5167/uzh-4034
  57. Wiltshire, R. (1979). Research on reverse migration in japan:reverse migration and the concept of “U-Turn”, tohoko university repository.
  58. Yasouri, M., & Javan, F. (2015). Analysis of Limitation in Rural Economy Diversification Case: Upper Ashkevar in Rudsar County. Space economy and rural development, 4 (13), 19-37. https://doi.org/10.18869/acadpub.serd.4.13.19
  59. Zaki, M. A. (2012). The Effect of Migration on the Socio-Economic Structure of Urban Communities (Case Study: Comparison of Shahin Shahr and Khomeini Shahr). Urban Sociological Studies (Urban Studies), 2(2), 83-112. [In Persian] 
  60. Zarei Abyaneh, M. H., Salmani, M., Ghadiri Masoum, M., Darban Astane, A., & Torkashvand, Z. (2024). The Role of Reverse Migration in the Economic Development of Villages in Natanz City. Human Geography Research, 56(2), 255-269. https://doi.org/10.22059/jhgr.2024.367579.1008645 [In Persian] 
  61. Zhao, Y. (2002). Causes and Consequences of Return Migration: Recent Evidence from China, Journal of Comparative Economics, 30(2), 376-394. https://doi.org/10.1006/jcec.2002.1781