Publication:
Rural-Urban Migration in Developing Countries: Lessons from the Literature

Loading...
Thumbnail Image
Files in English
English PDF (517.59 KB)
16,587 downloads
English Text (116.68 KB)
417 downloads
Published
2021-05
ISSN
Date
2021-05-20
Author(s)
Shilpi, Forhad
Editor(s)
Abstract
This paper reviews the recent literature on rural-urban migration in developing countries, focusing on three key questions: What motivates or forces people to migrate? What costs do migrants face? What are the impacts of migration on migrants and the economy? The literature paints a complex picture whereby rural-urban migration is driven by many factors and the returns to migration as well as the costs are very high. The evidence supports the notion that migration barriers hinder labor market adjustment and are likely to be welfare reducing. The review concludes by identifying gaps in current research and data needs.
Link to Data Set
Citation
Shilpi, Forhad; Selod, Harris. 2021. Rural-Urban Migration in Developing Countries: Lessons from the Literature. Policy Research Working Paper;No. 9662. © World Bank. http://hdl.handle.net/10986/35610 License: CC BY 3.0 IGO.
Associated URLs
Associated content
Report Series
Report Series
Other publications in this report series
  • Publication
    The Economic Value of Weather Forecasts: A Quantitative Systematic Literature Review
    (Washington, DC: World Bank, 2025-09-10) Farkas, Hannah; Linsenmeier, Manuel; Talevi, Marta; Avner, Paolo; Jafino, Bramka Arga; Sidibe, Moussa
    This study systematically reviews the literature that quantifies the economic benefits of weather observations and forecasts in four weather-dependent economic sectors: agriculture, energy, transport, and disaster-risk management. The review covers 175 peer-reviewed journal articles and 15 policy reports. Findings show that the literature is concentrated in high-income countries and most studies use theoretical models, followed by observational and then experimental research designs. Forecast horizons studied, meteorological variables and services, and monetization techniques vary markedly by sector. Estimated benefits even within specific subsectors span several orders of magnitude and broad uncertainty ranges. An econometric meta-analysis suggests that theoretical studies and studies in richer countries tend to report significantly larger values. Barriers that hinder value realization are identified on both the provider and user sides, with inadequate relevance, weak dissemination, and limited ability to act recurring across sectors. Policy reports rely heavily on back-of-the-envelope or recursive benefit-transfer estimates, rather than on the methods and results of the peer-reviewed literature, revealing a science-to-policy gap. These findings suggest substantial socioeconomic potential of hydrometeorological services around the world, but also knowledge gaps that require more valuation studies focusing on low- and middle-income countries, addressing provider- and user-side barriers and employing rigorous empirical valuation methods to complement and validate theoretical models.
  • Publication
    The Macroeconomic Implications of Climate Change Impacts and Adaptation Options
    (Washington, DC: World Bank, 2025-05-29) Abalo, Kodzovi; Boehlert, Brent; Bui, Thanh; Burns, Andrew; Castillo, Diego; Chewpreecha, Unnada; Haider, Alexander; Hallegatte, Stephane; Jooste, Charl; McIsaac, Florent; Ruberl, Heather; Smet, Kim; Strzepek, Ken
    Estimating the macroeconomic implications of climate change impacts and adaptation options is a topic of intense research. This paper presents a framework in the World Bank's macrostructural model to assess climate-related damages. This approach has been used in many Country Climate and Development Reports, a World Bank diagnostic that identifies priorities to ensure continued development in spite of climate change and climate policy objectives. The methodology captures a set of impact channels through which climate change affects the economy by (1) connecting a set of biophysical models to the macroeconomic model and (2) exploring a set of development and climate scenarios. The paper summarizes the results for five countries, highlighting the sources and magnitudes of their vulnerability --- with estimated gross domestic product losses in 2050 exceeding 10 percent of gross domestic product in some countries and scenarios, although only a small set of impact channels is included. The paper also presents estimates of the macroeconomic gains from sector-level adaptation interventions, considering their upfront costs and avoided climate impacts and finding significant net gross domestic product gains from adaptation opportunities identified in the Country Climate and Development Reports. Finally, the paper discusses the limits of current modeling approaches, and their complementarity with empirical approaches based on historical data series. The integrated modeling approach proposed in this paper can inform policymakers as they make proactive decisions on climate change adaptation and resilience.
  • Publication
    Labor Demand in the Age of Generative AI: Early Evidence from the U.S. Job Posting Data
    (Washington, DC: World Bank, 2025-11-18) Liu, Yan; Wang, He; Yu, Shu
    This paper examines the causal impact of generative artificial intelligence on U.S. labor demand using online job posting data. Exploiting ChatGPT’s release in November 2022 as an exogenous shock, the paper applies difference-in-differences and event study designs to estimate the job displacement effects of generative artificial intelligence. The identification strategy compares labor demand for occupations with high versus low artificial intelligence substitution vulnerability following ChatGPT’s launch, conditioning on similar generative artificial intelligence exposure levels to isolate substitution effects from complementary uses. The analysis uses 285 million job postings collected by Lightcast from the first quarter of 2018 to the second quarter of 2025Q2. The findings show that the number of postings for occupations with above-median artificial intelligence substitution scores fell by an average of 12 percent relative to those with below-median scores. The effect increased from 6 percent in the first year after the launch to 18 percent by the third year. Losses were particularly acute for entry-level positions that require neither advanced degrees (18 percent) nor extensive experience (20 percent), as well as those in administrative support (40 percent) and professional services (30 percent). Although generative artificial intelligence generates new occupations and enhances productivity, which may increase labor demand, early evidence suggests that some occupations may be less likely to be complemented by generative artificial intelligence than others.
  • Publication
    The Lasting Effects of Working while in School
    (Washington, DC: World Bank, 2025-08-18) Ferrando, Mery; Katzkowicz, Noemi; Le Barbanchon, Thomas; Ubfal, Diego
    This paper provides the first experimental evidence on the long-term effects of work-study programs, leveraging a randomized lottery design from a national program in Uruguay. Participation leads to a persistent 11 percent increase in formal labor earnings, observable seven years after the program. Effects are stronger for youth who participate during pivotal educational transitions and are larger for vulnerable youth and men, while remaining positive for women and non-vulnerable youth. The program is highly cost-effective, with average impacts exceeding those of job training programs and comparable to early childhood investments.
  • Publication
    It’s Not (Just) the Tariffs: Rethinking Non-Tariff Measures in a Fragmented Global Economy
    (Washington, DC: World Bank, 2025-10-22) Taglioni, Daria; KEE, Hiau Looi
    As tariffs have declined, non-tariff measures (NTMs) have become central to trade policy, especially in high-income countries and regulated sectors like food and green technologies. Although NTMs may serve legitimate goals, they could also sort countries and firms into or out of markets based on compliance capacity and differences in product mix. Documenting recent advances in the estimation of ad valorem equivalents (AVEs), this paper uncovers new patterns of use and exposure of NTMs. High-income countries rely more heavily on NTMs relative to tariffs, while low- and middle-income countries face steeper AVEs on their exports. Firm-level evidence shows that NTMs disproportionately affect smaller firms, leading to market exit and concentration. Poorly designed NTMs can harm productivity and welfare, while coordinated, capacity-aware use can deliver inclusive outcomes. Policy design, transparency, and diagnostics must evolve to reflect the growing role—and risks—of NTMs in a fragmented global trade landscape.
Journal
Journal Volume
Journal Issue

Related items

Showing items related by metadata.

  • Publication
    From Farm to Firm : Rural-Urban Transition in Developing Countries
    (World Bank, 2011-05-26) Dudwick, Nora; Hull, Katy; Katayama, Roy; Shilpi, Forhad; Simler, Kenneth
    Around the world, countries are becoming urbanized at an astonishing pace. As countries develop economically, their economies shift from mainly rural and agrarian to increasingly urban and nonagricultural. This rural-urban transformation presents both opportunities and challenges for development. When managed effectively, the transformation spurs growth and reduces poverty. When managed poorly, however, the process can result in stark welfare disparities, the marginalization of entire regions, and poorly functioning cities that fail to realize the potential gains from agglomeration economies. This book investigates the rural-urban transformation underway in Sub-Saharan Africa and South Asia, emphasizing the influence of country conditions as well as the potential of good policies to minimize disparities and ensure that everyone shares in the benefits of urbanization. The first part of this book investigates urbanization and rural-urban welfare inequalities on three geographic scales global, national, and local featuring countries and cities in Sub-Saharan Africa on the national and local levels. The second part of the book sheds light on the texture of transformation in five countries in South Asia, each at a different stage in the process: Bangladesh, India, Nepal, Pakistan, and Sri Lanka.
  • Publication
    Rural-Urban Migration in Developing Countries : A Survey of Theoretical Predictions and Empirical Findings
    (World Bank, Washington, DC, 2006-05) Shalizi, Zmarak; Lall, Somik V.; Selod, Harris
    The migration of labor from rural to urban areas is an important part of the urbanization process in developing countries. Even though it has been the focus of abundant research over the past five decades, some key policy questions have not found clear answers yet. To what extent is internal migration a desirable phenomenon and under what circumstances? Should governments intervene and, if so, with what types of interventions? What should be their policy objectives? To shed light on these important issues, the authors survey the existing theoretical models and their conflicting policy implications and discuss the policies that may be justified based on recent relevant empirical studies. A key limitation is that much of the empirical literature does not provide structural tests of the theoretical models, but only provides partial findings that can support or invalidate intuitions and in that sense, support or invalidate the policy implications of the models. The authors' broad assessment of the literature is that migration can be beneficial or at least be turned into a beneficial phenomenon so that in general migration restrictions are not desirable. They also identify some data issues and research topics which merit further investigation.
  • Publication
    The Rural-Urban Divide and Intergenerational Educational Mobility in a Developing Country
    (World Bank, Washington, DC, 2020-11) Ahsan, Md Nazmul; Emran, M. Shahe; Shilpi, Forhad
    This paper provides an analysis of the rural-urban divide in intergenerational educational mobility in Indonesia with two distinguishing features. First, the estimating equations are derived from theory incorporating rural-urban differences in returns to education and school quality, and possible complementarity between parent’s education and financial investment. Second, the data are suitable for tackling the biases from sample truncation due to coresidency and omitted cognitive ability heterogeneity. The evidence rejects the workhorse linear intergenerational educational persistence equation in favor of a convex relation in rural and urban Indonesia. The rural-urban relative mobility curves cross, with the children of low educated fathers enjoying higher relative mobility in rural areas, while the pattern flips in favor of the urban children when the father has more than nine years of schooling. However, the rural children face lower absolute mobility across the whole distribution of father's schooling. Estimates from the investment equation suggest that, in urban areas, children~^!!^s peers are complementary to financial investment by parents, while the adult role models are substitutes. In contrast, separability holds in villages. Peers and role models are not responsible for the convexity in both rural and urban areas, suggesting more efficient investment by educated parents as a likely mechanism, as proposed by Becker et al. (2015, 2018). The theoretical relation between the intercepts of the mobility and investment equations helps in understand whether school quality is complementary to or a substitute for parental financial investment. This paper finds evidence of substitutability, implying that public investment to improve the quality of rural schools is desirable on both equity and efficiency grounds.
  • Publication
    Closing Rural-Urban MDG Gaps in Low-Income Countries : A General Equilibrium Perspective
    (World Bank, Washington, DC, 2013-03) Lofgren, Hans
    This paper addresses policies aimed at closing the rural-urban gap for one of the Millennium Development Goals (MDGs), the under-five mortality rate (U5MR). The paper relies on the Maquette for MDG Simulations (MAMS), a computable general equilibrium model, applied to the database of an archetypical low-income country. The scenarios, which focus on the period 2013-2030, include a "business-as-usual" base scenario and policy scenarios that analyze efforts to raise the rural population up to the urban level in terms of health services or the under-five mortality rate. The policy scenarios are implemented with alternative sources of fiscal space. The results indicate that, if current trends continue, considerable progress for MDGs should be expected by 2030. If the government raises rural health services, then the decline in the rural U5MR would accelerate. If most additional resources come from foreign grants or government efficiency gains, then the repercussions for other development indicators, including poverty reduction, would be positive. However, if most additional resources are from domestic taxes or borrowing, then progress for the rural U5MR would come at the expense of less progress for other indicators. Sensitivity analysis shows that these qualitative findings are robust to different values for two parameters related to initial rural-urban cost and service gaps. However, quantitatively, the results depend on the values of these two parameters, implying that individual country characteristics strongly influence the fiscal-space requirements for and consequences of equalizing rural-urban MDG services and outcomes.
  • Publication
    Migration, Sorting and Regional Inequality : Evidence from Bangladesh
    (World Bank, Washington, DC, 2008-05) Shilpi, Forhad
    Using household level data from Bangladesh, this paper examines the differences in the rates of return to household attributes over the entire welfare distribution. The empirical evidence uncovers substantial differences in returns between an integrated region contiguous to the country's main growth centers, and a less integrated region cut-off from those centers by major rivers. The evidence suggests that households with better observed and unobserved attributes (such as education and ability) are concentrated in the integrated region where returns are higher. Within each region, mobility of workers seems to equalize returns at the lower half of the distribution. The natural border created by the rivers appears to hinder migration, causing returns differences between the regions to persist. To reduce regional inequality in welfare in Bangladesh, the results highlight the need for improving connectivity between the regions, and for investing in portable assets of the poor (such as human capital).

Users also downloaded

Showing related downloaded files

  • Publication
    Business Ready 2024
    (Washington, DC: World Bank, 2024-10-03) World Bank
    Business Ready (B-READY) is a new World Bank Group corporate flagship report that evaluates the business and investment climate worldwide. It replaces and improves upon the Doing Business project. B-READY provides a comprehensive data set and description of the factors that strengthen the private sector, not only by advancing the interests of individual firms but also by elevating the interests of workers, consumers, potential new enterprises, and the natural environment. This 2024 report introduces a new analytical framework that benchmarks economies based on three pillars: Regulatory Framework, Public Services, and Operational Efficiency. The analysis centers on 10 topics essential for private sector development that correspond to various stages of the life cycle of a firm. The report also offers insights into three cross-cutting themes that are relevant for modern economies: digital adoption, environmental sustainability, and gender. B-READY draws on a robust data collection process that includes specially tailored expert questionnaires and firm-level surveys. The 2024 report, which covers 50 economies, serves as the first in a series that will expand in geographical coverage and refine its methodology over time, supporting reform advocacy, policy guidance, and further analysis and research.
  • Publication
    Global Economic Prospects, January 2025
    (Washington, DC: World Bank, 2025-01-16) World Bank
    Global growth is expected to hold steady at 2.7 percent in 2025-26. However, the global economy appears to be settling at a low growth rate that will be insufficient to foster sustained economic development—with the possibility of further headwinds from heightened policy uncertainty and adverse trade policy shifts, geopolitical tensions, persistent inflation, and climate-related natural disasters. Against this backdrop, emerging market and developing economies are set to enter the second quarter of the twenty-first century with per capita incomes on a trajectory that implies substantially slower catch-up toward advanced-economy living standards than they previously experienced. Without course corrections, most low-income countries are unlikely to graduate to middle-income status by the middle of the century. Policy action at both global and national levels is needed to foster a more favorable external environment, enhance macroeconomic stability, reduce structural constraints, address the effects of climate change, and thus accelerate long-term growth and development.
  • Publication
    Digital Progress and Trends Report 2023
    (Washington, DC: World Bank, 2024-03-05) World Bank
    Digitalization is the transformational opportunity of our time. The digital sector has become a powerhouse of innovation, economic growth, and job creation. Value added in the IT services sector grew at 8 percent annually during 2000–22, nearly twice as fast as the global economy. Employment growth in IT services reached 7 percent annually, six times higher than total employment growth. The diffusion and adoption of digital technologies are just as critical as their invention. Digital uptake has accelerated since the COVID-19 pandemic, with 1.5 billion new internet users added from 2018 to 2022. The share of firms investing in digital solutions around the world has more than doubled from 2020 to 2022. Low-income countries, vulnerable populations, and small firms, however, have been falling behind, while transformative digital innovations such as artificial intelligence (AI) have been accelerating in higher-income countries. Although more than 90 percent of the population in high-income countries was online in 2022, only one in four people in low-income countries used the internet, and the speed of their connection was typically only a small fraction of that in wealthier countries. As businesses in technologically advanced countries integrate generative AI into their products and services, less than half of the businesses in many low- and middle-income countries have an internet connection. The growing digital divide is exacerbating the poverty and productivity gaps between richer and poorer economies. The Digital Progress and Trends Report series will track global digitalization progress and highlight policy trends, debates, and implications for low- and middle-income countries. The series adds to the global efforts to study the progress and trends of digitalization in two main ways: · By compiling, curating, and analyzing data from diverse sources to present a comprehensive picture of digitalization in low- and middle-income countries, including in-depth analyses on understudied topics. · By developing insights on policy opportunities, challenges, and debates and reflecting the perspectives of various stakeholders and the World Bank’s operational experiences. This report, the first in the series, aims to inform evidence-based policy making and motivate action among internal and external audiences and stakeholders. The report will bring global attention to high-performing countries that have valuable experience to share as well as to areas where efforts will need to be redoubled.
  • Publication
    The Container Port Performance Index 2023
    (Washington, DC: World Bank, 2024-07-18) World Bank
    The Container Port Performance Index (CPPI) measures the time container ships spend in port, making it an important point of reference for stakeholders in the global economy. These stakeholders include port authorities and operators, national governments, supranational organizations, development agencies, and other public and private players in trade and logistics. The index highlights where vessel time in container ports could be improved. Streamlining these processes would benefit all parties involved, including shipping lines, national governments, and consumers. This fourth edition of the CPPI relies on data from 405 container ports with at least 24 container ship port calls in the calendar year 2023. As in earlier editions of the CPPI, the ranking employs two different methodological approaches: an administrative (technical) approach and a statistical approach (using matrix factorization). Combining these two approaches ensures that the overall ranking of container ports reflects actual port performance as closely as possible while also being statistically robust. The CPPI methodology assesses the sequential steps of a container ship port call. ‘Total port hours’ refers to the total time elapsed from the moment a ship arrives at the port until the vessel leaves the berth after completing its cargo operations. The CPPI uses time as an indicator because time is very important to shipping lines, ports, and the entire logistics chain. However, time, as captured by the CPPI, is not the only way to measure port efficiency, so it does not tell the entire story of a port’s performance. Factors that can influence the time vessels spend in ports can be location-specific and under the port’s control (endogenous) or external and beyond the control of the port (exogenous). The CPPI measures time spent in container ports, strictly based on quantitative data only, which do not reveal the underlying factors or root causes of extended port times. A detailed port-specific diagnostic would be required to assess the contribution of underlying factors to the time a vessel spends in port. A very low ranking or a significant change in ranking may warrant special attention, for which the World Bank generally recommends a detailed diagnostic.
  • Publication
    Global Economic Prospects, June 2025
    (Washington, DC: World Bank, 2025-06-10) World Bank
    The global economy is facing another substantial headwind, emanating largely from an increase in trade tensions and heightened global policy uncertainty. For emerging market and developing economies (EMDEs), the ability to boost job creation and reduce extreme poverty has declined. Key downside risks include a further escalation of trade barriers and continued policy uncertainty. These challenges are exacerbated by subdued foreign direct investment into EMDEs. Global cooperation is needed to restore a more stable international trade environment and scale up support for vulnerable countries grappling with conflict, debt burdens, and climate change. Domestic policy action is also critical to contain inflation risks and strengthen fiscal resilience. To accelerate job creation and long-term growth, structural reforms must focus on raising institutional quality, attracting private investment, and strengthening human capital and labor markets. Countries in fragile and conflict situations face daunting development challenges that will require tailored domestic policy reforms and well-coordinated multilateral support.