1932

Abstract

Forced migration has a complex relationship with the environment. The type of policy responses required to alleviate distress migration and improve the livelihoods of involuntary migrants while preserving the environment for broader society will vary by context. We highlight the need to better identify the related mechanisms underlying forced migration and their practices in receiving areas in an attempt to self-integrate. Implementation of safety net programs has risen. Such programs have the potential to promote migration as a risk management strategy and disincentivize the adoption of poor environmental practices in receiving areas. We discuss how available satellite data combined with machine learning approaches open new opportunities to discover solutions to the migration-related environmental issues of Africa.

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2024-10-07
2024-12-04
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Literature Cited

  1. Abebe G, Caria S, Fafchamps M, Falco P, Franklin S, Quinn S. 2016.. Curse of anonymity or tyranny of distance? The impacts of job-search support in urban Ethiopia. NBER Work. Pap. 22409
    [Google Scholar]
  2. Akgunduz YE, van den Berg M, Hassink W. 2018.. The impact of the Syrian refugee crisis on firm entry and performance in Turkey. . World Bank Econ. Rev. 32::1940
    [Crossref] [Google Scholar]
  3. Aksoy CG, Tumen S. 2021.. Local governance quality and the environmental cost of forced migration. . J. Dev. Econ. 149::102603
    [Crossref] [Google Scholar]
  4. Al-Harahsheh S, Al-Adamat R, Abdullah S. 2015.. The impact of Za'atari refugee camp on the water quality in Amman-Zarqa basin. . J. Environ. Prot. 6::1624
    [Crossref] [Google Scholar]
  5. Alix-Garcia J, Bartlett A, Saah D. 2013.. The landscape of conflict: IDPs, aid, and land use change in Darfur. . J. Econ. Geogr. 13::589617
    [Crossref] [Google Scholar]
  6. Alix-Garcia J, Millimet D. 2023.. Remotely incorrect? Accounting for nonclassical measurement error in satellite data on deforestation. . J. Assoc. Environ. Resour. Econ. 10::133567
    [Google Scholar]
  7. Alix-Garcia J, Saah D. 2010.. The effect of refugee inflows on host communities: evidence from Tanzania. . World Bank Econ. Rev. 24::14870
    [Crossref] [Google Scholar]
  8. Alix-Garcia J, Sims K, Orozco-Olvera VH, Costica L, Fernandez Medina JD, et al. 2019.. Can environmental cash transfers reduce deforestation and improve social outcomes? A regression discontinuity analysis of Mexico's national program (2011–2014). Policy Res. Work. Pap. 8707 , World Bank Group, Washington, DC:
    [Google Scholar]
  9. Alix-Garcia J, Walker S, Bartlett A, Onder H, Sanghi A. 2018.. Do refugee camps help or hurt hosts? The case of Kakuma, Kenya. . J. Dev. Econ. 130::6683
    [Crossref] [Google Scholar]
  10. Alloush M, Taylor JE, Gupta A, Rojas Valdes RI, Gonzalez-Estrada E. 2017.. Economic life in refugee camps. . World Dev. 95::33447
    [Crossref] [Google Scholar]
  11. Alshirah M, Aljaradin M, Jiries A, Shatnawi A. 2021.. The air, water, and soil quality in the surrounding of Zaatari refugee camp. . Sustain. Resour. Manag. J. 6::116
    [Google Scholar]
  12. Altındağ O, Bakış O, Rozo SV. 2020.. Blessing or burden? Impacts of refugees on businesses and the informal economy. . J. Dev. Econ. 146::102490
    [Crossref] [Google Scholar]
  13. Altındağ O, O'Connell SD. 2023.. The short-lived effects of unconditional cash transfers to refugees. . J. Dev. Econ. 160::102942
    [Crossref] [Google Scholar]
  14. Angelucci M. 2015.. Migration and financial constraints: evidence from Mexico. . Rev. Econ. Stat. 97::22428
    [Crossref] [Google Scholar]
  15. Annen K, Strickland S. 2017.. Global samaritans? Donor election cycles and the allocation of humanitarian aid. . Eur. Econ. Rev. 96::3847
    [Crossref] [Google Scholar]
  16. Arendt JN, Dustmann C, Ku H. 2022.. Refugee migration and the labour market: lessons from 40 years of post-arrival policies in Denmark. . Oxf. Rev. Econ. Policy 38::53156
    [Crossref] [Google Scholar]
  17. Asfaw S, Davis B. 2018.. Can cash transfer programmes promote household resilience? cross-country evidence from Sub-Saharan Africa. . In Climate Smart Agriculture: Building Resilience to Climate Change, ed. L Lipper, N McCarthy, D Zilberman, S Asfaw, G Branca , pp. 22750. Cham, Switz:.: Springer
    [Google Scholar]
  18. Baez J, Caruso G, Mueller V, Niu C. 2017.. Droughts augment youth migration in Northern Latin America and the Caribbean. . Clim. Change 140::42335
    [Crossref] [Google Scholar]
  19. Bahar D, Ibáñez AM, Rozo SV. 2021.. Give me your tired and your poor: impact of a large-scale amnesty program for undocumented refugees. . J. Dev. Econ. 151::102652
    [Crossref] [Google Scholar]
  20. Balana B, Adeyanju D, Clingain C, Andam KS, de Brauw A, et al. 2023.. Anticipatory cash transfers for climate resilience: findings from a randomized experiment in northeast Nigeria. NSSP Work. Pap. 69 , Int. Food Policy Res. Inst., Washington, DC:
    [Google Scholar]
  21. Baseler T. 2023.. Hidden income and the perceived returns to migration. . Am. Econ. J. Appl. Econ. 15::32152
    [Crossref] [Google Scholar]
  22. Bastagli F, Hagen-Zanker J, Harman L, Barca V, Sturge G, et al. 2019.. The impact of cash transfers: a review of the evidence from low-and middle-income countries. . J. Soc. Policy 48::56994
    [Crossref] [Google Scholar]
  23. Batista C, McKenzie D. 2021.. Testing classic theories of migration in the lab. Policy Res.Work. Pap. WPS9751 , World Bank Group, Washington, DC:
    [Google Scholar]
  24. Bazzi S, Cameron L, Schaner SG, Witoelar F. 2021.. Information, intermediaries, and international migration. NBER Work. Pap. 29588
    [Google Scholar]
  25. Beine M, Bertinelli L, Comertpay R, Litina A, Maystadt JF. 2021.. A gravity analysis of refugee mobility using mobile phone data. . J. Dev. Econ. 150::102618
    [Crossref] [Google Scholar]
  26. Berlin Rubin N, Wong-Parodi G. 2022.. As California burns: the psychology of wildfire- and wildfire smoke-related migration intentions. . Popul. Environ. 44::1545
    [Crossref] [Google Scholar]
  27. Betts A, Bloom L, Kaplan J, Omata N. 2017.. Refugee Economies: Forced Displacement and Development. Oxford, UK:: Oxford Univ. Press
    [Google Scholar]
  28. Betts A, Chaara I, Omata N, Sterck O. 2019.. Refugee economies in Uganda: what difference does the self-reliance model make? Rep. , Refug. Stud. Cent., Univ. Oxf., Oxford, UK:
    [Google Scholar]
  29. Bharti N, Tatem AJ. 2018.. Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria. . Sci. Data 5::180256
    [Crossref] [Google Scholar]
  30. Blair CW, Grossman G, Weinstein JM. 2022.. Forced displacement and asylum policy in the developing world. . Int. Organ. 76::33778
    [Crossref] [Google Scholar]
  31. Bluhm R, Gassebner M, Langlotz S, Schaudt P. 2021.. Fueling conflict? (De)escalation and bilateral aid. . J. Appl. Econ. 36::24461
    [Crossref] [Google Scholar]
  32. Bousquet J, Maystadt JF. 2023.. The impact of giving working rights to refugees on their hosts in Jordan. Work. Pap. , Inst. Econ. Perform. Res. Cent., Leuven, Belg.:
    [Google Scholar]
  33. Bryan G, Chowdhury S, Mobarak AM. 2014.. Underinvestment in a profitable technology: the case of seasonal migration in Bangladesh. . Econometrica 82::1671748
    [Crossref] [Google Scholar]
  34. Bustos P, Caprettini B, Ponticelli J. 2016.. Agricultural productivity and structural transformation: evidence from Brazil. . Am. Econ. Rev. 106::132065
    [Crossref] [Google Scholar]
  35. Call MA, Gray C, Yunus M, Emch M. 2017.. Disruption, not displacement: environmental variability and temporary migration in Bangladesh. . Glob. Environ. Change 46::15765
    [Crossref] [Google Scholar]
  36. Caruso G, Canon CG, Mueller V. 2019.. Spillover effects of the Venezuelan crisis: migration impacts in Colombia. . Oxf. Econ. Pap. 73::77195
    [Crossref] [Google Scholar]
  37. Cattaneo C, Beine M, Fröhlich CJ, Kniveton D, Martinez-Zarzoso Inmaculada, et al. 2019.. Human migration in the era of climate change. . Rev. Environ. Econ. Policy 13::189206
    [Crossref] [Google Scholar]
  38. Cattaneo C, Peri G. 2016.. The migration response to increasing temperatures. . J. Dev. Econ. 122::12746
    [Crossref] [Google Scholar]
  39. Chen J, Mueller V. 2018.. Coastal climate change, soil salinity and human migration in Bangladesh. . Nat. Clim. Change 8::98185
    [Crossref] [Google Scholar]
  40. Chen S, Oliva P, Zhang P. 2022.. The effect of air pollution on migration: evidence from China. . J. Dev. Econ. 156::102833
    [Crossref] [Google Scholar]
  41. Chort I, de La Rupelle M. 2022.. Managing the impact of climate on migration: evidence from Mexico. . J. Popul. Econ. 35::17771819
    [Crossref] [Google Scholar]
  42. Christian P, Barrett CB. 2017.. Revisiting the effect of food aid on conflict: a methodological caution. Policy Res. Work. Pap. 8171 , World Bank Group, Washington, DC:
    [Google Scholar]
  43. Clemens MA, Mendola M. 2020.. Migration from developing countries: selection, income elasticity, and Simpson's paradox. Discuss. Pap. 13612 , Inst. Lab. Econ., Bonn, Ger.:
    [Google Scholar]
  44. Colmer J. 2021.. Temperature, labor reallocation, and industrial production: evidence from India. . Am. Econ. J. Appl. Econ. 13::10124
    [Crossref] [Google Scholar]
  45. Cramer JC. 1998.. Population growth and air quality in California. . Demography 35::4556
    [Crossref] [Google Scholar]
  46. Cunha JM, De Giorgi G, Jayachandra S. 2019.. The price effects of cash versus in-kind transfers. . Rev. Econ. Stud. 86::24081
    [Crossref] [Google Scholar]
  47. Dagnelie O, Mayda A, Maystadt JF. 2023.. Refugees, children's health and malaria transmission in Africa. CEPR Discuss. Pap. 18284 , CEPR Press, Paris/London:
    [Google Scholar]
  48. Dampha N, Salemi C, Polasky S. 2022.. Rohingya refugee camps and forest loss in Cox's Bazar, Bangladesh: an inquiry using remote sensing and econometric approaches. Policy Res. Work. Pap. 9948 , World Bank Group, Washington, DC:
    [Google Scholar]
  49. De Janvry A, Finan F, Sadoulet E, Vakis R. 2006.. Can conditional cash transfer programs serve as safety nets in keeping children at school and from working when exposed to shocks?. J. Dev. Econ. 79::34973
    [Crossref] [Google Scholar]
  50. Delius A, Sterck O. 2020.. Cash transfers and micro-enterprise performance: theory and quasi-experimental evidence from Kenya. CSAE Work. Pap. 2020-09 , Cent. Study Afr. Econ., Univ. Oxford, UK.: https://ideas.repec.org/p/csa/wpaper/2020-09.html
    [Google Scholar]
  51. Dionigi F, Tabasso D. 2022.. Academic trends in forced displacement. Ref. Pap. , UN High Comm. Refug., Geneva:
    [Google Scholar]
  52. Drabo A, Mbaye LM. 2015.. Natural disasters, migration and education: an empirical analysis in developing countries. . Environ. Dev. Econ. 20::76796
    [Crossref] [Google Scholar]
  53. Egger D, Haushofer J, Miguel E, Niehaus P, Walker M. 2022.. General equilibrium effects of cash transfers: experimental evidence from Kenya. . Econometrica 90::260343
    [Crossref] [Google Scholar]
  54. Enenkel M, Shrestha RM, Stokes E, Román M, Wang Z, et al. 2019.. Emergencies do not stop at night: advanced analysis of displacement based on satellite-derived nighttime light observations. . IBM J. Res. Dev. 64::8
    [Google Scholar]
  55. Fallah B, Krafft C, Wahba J. 2019.. The impact of refugees on employment and wages in Jordan. . J. Dev. Econ. 139::20316
    [Crossref] [Google Scholar]
  56. Ferraro PJ, Simorangkir R. 2020.. Conditional cash transfers to alleviate poverty also reduced deforestation in Indonesia. . Sci. Adv. 6::eaaz1298
    [Crossref] [Google Scholar]
  57. Filmer D, Friedman J, Kandpal E, Onishi J. 2023.. Cash transfers, food prices, and nutrition impacts on ineligible children. . Rev. Econ. Stat. 105::32743
    [Crossref] [Google Scholar]
  58. Findley MG, Powell J, Strandow D, Tanner J. 2011.. The localized geography of foreign aid: a new dataset and application to violent armed conflict. . World Dev. 39::19952009
    [Crossref] [Google Scholar]
  59. Fitz D, League R. 2021.. School, shocks, and safety nets: Can conditional cash transfers protect human capital investments during rainfall shocks?. J. Dev. Stud. 57::200226
    [Crossref] [Google Scholar]
  60. Freire S, Aubrecht C, Wegscheider S. 2013.. Advancing tsunami risk assessment by improving spatio-temporal population exposure and evacuation modeling. . Nat. Hazards 68::131124
    [Crossref] [Google Scholar]
  61. Gazeaud J, Mvukiyehe E, Sterck O. 2023.. Cash transfers and migration: theory and evidence from a randomized controlled trial. . Rev. Econ. Stat. 105::14357
    [Crossref] [Google Scholar]
  62. Goldammer JG, Stocks BJ. 2011.. Migration and global environmental change. Special Rep. 10 , Gov. Off. Sci., London:. https://gfmc.online/wp-content/uploads/UK-Foresight-Project-Climate-Change-Migration-2011-SR-10-Wildland-Fire-1.pdf
    [Google Scholar]
  63. Gray C, Mueller V. 2012.. Drought and population mobility in rural Ethiopia. . World Dev. 40::13445
    [Crossref] [Google Scholar]
  64. Gray CL. 2011.. Soil quality and human migration in Kenya and Uganda. . Glob. Environ. Change 21::42130
    [Crossref] [Google Scholar]
  65. Gröger A, Zylberberg Y. 2016.. Internal labor migration as a shock coping strategy: evidence from a typhoon. . Am. Econ. J. Appl. Econ. 8::12353
    [Crossref] [Google Scholar]
  66. Handa S, Natali L, Seidenfeld D, Tembo G, Davis B. 2018.. Can unconditional cash transfers raise long-term living standards? Evidence from Zambia. . J. Dev. Econ. 133::4265
    [Crossref] [Google Scholar]
  67. Harris JR, Todaro M. 1970.. Migration, unemployment and development: a two-sector analysis. . Am. Econ. Rev. 60::12642
    [Google Scholar]
  68. Heft-Neal S, Burney J, Bendavid E, Burke M. 2018.. Robust relationship between air quality and infant mortality in Africa. . Nature 559::25458
    [Crossref] [Google Scholar]
  69. Hidrobo M, Hoddinott J, Peterman A, Margolies A, Moreira V. 2014.. Cash, food, or vouchers? Evidence from a randomized experiment in northern Ecuador. . J. Dev. Econ. 107::14456
    [Crossref] [Google Scholar]
  70. Hidrobo M, Mueller V, Roy S. 2022.. Cash transfers, migration, and gender norms. . Am. J. Agric. Econ. 104::55068
    [Crossref] [Google Scholar]
  71. Hoddinott J, Mekasha TJ. 2020.. Social protection, household size, and its determinants: evidence from Ethiopia. . J. Dev. Stud. 56::181837
    [Crossref] [Google Scholar]
  72. Hoffmann R, Sédová B, Vinke K. 2021.. Improving the evidence base: a methodological review of the quantitative climate migration literature. . Glob. Environ. Change 71::102367
    [Crossref] [Google Scholar]
  73. Huckstep S, Clemens M. 2023.. Climate change and migration: an omnibus overview for policymakers and development practitioners. Policy Pap. 292 , Cent. Glob. Dev., Washington, DC:
    [Google Scholar]
  74. Hunter LM, Luna JK, Norton RM. 2015.. Environmental dimensions of migration. . Annu. Rev. Sociol. 41::37797
    [Crossref] [Google Scholar]
  75. Ibáñez AM, Moya A, Ortega M, Rozo SV, Urbina M. 2022.. Life out of the shadows: the impacts of regularisation programs on the lives of forced migrants. Policy Res. Work. Pap. 9928 , World Bank Group, Washington, DC:
    [Google Scholar]
  76. Ibáñez AM, Rozo SV. 2020.. Forced migration and the spread of infectious diseases. Work. Pap. , Cent. Eff. Glob. Action, UC Berkeley:. https://doi.org/10.26085/C3KS3M
    [Google Scholar]
  77. Jaafar H, Ahmad F, Holtmeier L, King-Okumu C. 2020.. Refugees, water balance, and water stress: lessons learned from Lebanon. . Ambio 49::117993
    [Crossref] [Google Scholar]
  78. Jagnani M, Barrett CB, Liu Y, You L. 2021.. Within-season producer response to warmer temperatures: defensive investments by Kenyan farmers. . Econ. J. 131::392419
    [Crossref] [Google Scholar]
  79. Jessoe K, Manning DT, Taylor JE. 2018.. Climate change and labour allocation in rural Mexico: evidence from annual fluctuations in weather. . Econ. J. 128::23061
    [Crossref] [Google Scholar]
  80. Kadigo MM, Maystadt JF. 2023.. How to cope with a refugee population? Evidence from Uganda. . World Dev. 169::106293
    [Crossref] [Google Scholar]
  81. Kayaoglu A. 2022.. Do refugees cause crime?. World Dev. 154::105858
    [Crossref] [Google Scholar]
  82. Khanna G, Liang W, Mobarak AM, Song R. 2021.. The productivity consequences of pollution-induced migration in China. NBER Work. Pap. 28401
    [Google Scholar]
  83. Kleemans M. 2023.. Migration choice under risk and liquidity constraints. Work. Pap. , Univ. Ill., Urbana-Champaign:. https://drive.google.com/file/d/1VW6_CPSWm2pMRKtMZP5zEpu9PTiTM-Vh/view
    [Google Scholar]
  84. Kugler TA, Grace K, Wrathall DJ, de Sherbinin A, Van Riper D, et al. 2019.. People and pixels 20 years later: the current data landscape and research trends blending population and environmental data. . Popul. Environ. 41::20934
    [Crossref] [Google Scholar]
  85. Liu M, Shamdasani Y, Taraz V. 2023.. Climate change and labor reallocation: evidence from six decades of the Indian Census. . Am. Econ. J. Econ. Policy 15::395423
    [Crossref] [Google Scholar]
  86. Lu X, Wrathall DJ, Sundsøy PR, Nadiruzzaman M, Wetter E, et al. 2016.. Unveiling hidden migration and mobility patterns in climate stressed regions: a longitudinal study of six million anonymous mobile phone users in Bangladesh. . Glob. Environ. Change 38::17
    [Crossref] [Google Scholar]
  87. Lybbert TJ, Barrett CB, Desta S, Coppock DL. 2004.. Stochastic wealth dynamics and risk management among a poor population. . Econ. J. 114::75077
    [Crossref] [Google Scholar]
  88. Ma G, Hofman ET. 2019.. Immigration and environment in the U.S.: a spatial study of air quality. . Soc. Sci. J. 56::94106
    [Crossref] [Google Scholar]
  89. Mach K, Kraan C, Adger N, Buhaug H, Burke M. 2019.. Climate as a risk factor for armed conflict. . Nature 571::19397
    [Crossref] [Google Scholar]
  90. Macours K, Premand P, Vakis R. 2022.. Transfers, diversification and household risk strategies: Can productive safety nets help households manage climatic variability?. Econ. J. 132::243870
    [Crossref] [Google Scholar]
  91. MacPherson C, Sterck O. 2021.. Empowering refugees through cash and agriculture: a regression discontinuity design. . J. Dev. Econ. 149::102614
    [Crossref] [Google Scholar]
  92. Mahajan P, Yang D. 2020.. Taken by storm: hurricanes, migrant networks, and US immigration. . Am. Econ. J. Appl. Econ. 12::25077
    [Crossref] [Google Scholar]
  93. Marchiori L, Maystadt JF, Schumacher I. 2012.. The impact of weather anomalies on migration in sub-Saharan Africa. . J. Environ. Econ. Manag. 63::35574
    [Crossref] [Google Scholar]
  94. Martínez Flores F, Milusheva S, Reichert AR. 2021.. Climate anomalies and international migration: a disaggregated analysis for West Africa. Ruhr Econ. Pap. 910 , RWI, Bochum, Ger.:
    [Google Scholar]
  95. Mary S, Mishra AK. 2020.. Humanitarian food aid and civil conflict. . World Dev. 126::104713
    [Crossref] [Google Scholar]
  96. Massey DS, Arango J, Hugo G, Kouaouci A, Pellegrino A, et al. 1993.. Theories of international migration: a review and appraisal. . Popul. Dev. Rev. 19::43166
    [Crossref] [Google Scholar]
  97. Maystadt JF, Hirvonen K, Mabiso Athur, Vandercasteelen J. 2019.. Impacts of hosting forced migrants in poor countries. . Annu. Rev. Resour. Econ. 11::43959
    [Crossref] [Google Scholar]
  98. Maystadt JF, Mueller V, Van Den Hoek J, van Weezel S. 2020.. Vegetation changes attributable to refugees in Africa coincide with agricultural deforestation. . Environ. Res. Lett. 15::044008
    [Crossref] [Google Scholar]
  99. Maystadt JF, Verwimp P. 2014.. Winners and losers among a refugee-hosting population. . Econ. Dev. Cult. Change 62::769809
    [Crossref] [Google Scholar]
  100. Meghir C, Mobarak AM, Mommaerts C, Morten M. 2022.. Migration and informal insurance: evidence from a randomized controlled trial and a structural model. . Rev. Econ. Stud. 89::45280
    [Crossref] [Google Scholar]
  101. Milliff A, Christia F. 2023.. Who flees conflict? A big-data approach to the determinants of forced migration. Work. Pap. , Stanford Univ./MIT, Stanford, CA/Cambridge, MA:. https://aidanmilliff.com/publication/who-flees-big-data-migration/WhoFlees.pdf
    [Google Scholar]
  102. Missirian A, Schlenker W. 2017.. Asylum applications respond to temperature fluctuations. . Science 358::161014
    [Crossref] [Google Scholar]
  103. Mueller V, Gray C, Handa S, Seidenfeld D. 2020a.. Do social protection programs foster short-term and long-term migration adaptation strategies?. Environ. Dev. Econ. 25::13558
    [Crossref] [Google Scholar]
  104. Mueller V, Gray C, Hopping D. 2020b.. Climate-induced migration and unemployment in middle-income Africa. . Glob. Environ. Change 65::102183
    [Crossref] [Google Scholar]
  105. Mueller V, Gray C, Kosec K. 2014a.. Heat stress increases long-term human migration in rural Pakistan. . Nat. Clim. Change 4::18285
    [Crossref] [Google Scholar]
  106. Mueller V, Quisumbing A, Lee HL, Droppelmann K. 2014b.. Resettlement for food security's sake: insights from a Malawi land reform project. . Land Econ. 90::22236
    [Crossref] [Google Scholar]
  107. Mueller V, Sheriff G, Dou X, Gray C. 2017.. Labor response to climate variation in Eastern Africa. Presented at the UNU-WIDER Development Conference, Accra, Ghana:, Oct. 4
    [Google Scholar]
  108. Mueller V, Sheriff G, Dou X, Gray C. 2020c.. Temporary migration and climate variation in Eastern Africa. . World Dev. 126::104704
    [Crossref] [Google Scholar]
  109. Munshi K. 2003.. Networks in the modern economy: Mexican migrants in the US labor market. . Q. J. Econ. 118::54999
    [Crossref] [Google Scholar]
  110. Neef K, Jones E, Marlowe J. 2023.. The conflict, climate change, and displacement nexus revisited: the protracted Rohingya refugee crisis in Bangladesh. . J. Peacebuilding Dev. 18::23147
    [Crossref] [Google Scholar]
  111. Nelson A, Chomitz KM. 2011.. Effectiveness of strict versus multiple use protected areas in reducing tropical forest fires: a global analysis using matching methods. . PLOS ONE 6::e22722
    [Crossref] [Google Scholar]
  112. Nobre GG, Davenport F, Bischiniotis K, Veldkamp T, Jongman B, et al. 2019.. Financing agricultural drought risk through ex-ante cash transfers. . Sci. Total Environ. 653::52335
    [Crossref] [Google Scholar]
  113. Nunn N, Qian N. 2014.. US food aid and civil conflict. . Am. Econ. Rev. 104::163066
    [Crossref] [Google Scholar]
  114. Owen M, Kruczkiewicz A, Van Den Hoek J. 2023.. Indexing climatic and environmental exposure of refugee camps with a case study in East Africa. . Sci. Rep. 13::7533
    [Crossref] [Google Scholar]
  115. Özler B, Çelik C, Cunningham S, Cuevas PF, Parisotto L. 2021.. Children on the move: progressive redistribution of humanitarian cash transfers among refugees. . J. Dev. Econ. 153::102733
    [Crossref] [Google Scholar]
  116. Peralta A, Scott JB. 2024.. Does the national flood insurance program drive migration to higher risk areas?. J. Assoc. Environ. Resour. Econ. 11::287318
    [Google Scholar]
  117. Pérez-Peña R. 2023.. 5 Deaths at sea gripped the world. Hundreds of others got a shrug. . New York Times, June 23. https://www.nytimes.com/2023/06/23/world/europe/titan-sub-greek-migrant-boat.html
    [Google Scholar]
  118. Peters K, Dewulf AL, Barbelet V, Benoudji C, Le Masson V. 2019.. Pursuing disaster risk reduction on fractured foundations: the case of Chad. Res. Rep. , Overseas Dev. Inst., London, UK:. https://odi.org/en/publications/pursuing-disaster-risk-reduction-on-fractured-foundations-the-case-of-chad/
    [Google Scholar]
  119. Peters LER. 2021.. Beyond disaster vulnerabilities: an empirical investigation of the causal pathways linking conflict to disaster risks. . Int. J. Disaster Risk Reduct. 55::102092
    [Crossref] [Google Scholar]
  120. Price CE, Feldmeyer B. 2012.. The environmental impact of immigration: an analysis of the effects of immigrant concentration on air pollution levels. . Popul. Res. Policy Rev. 31::11940
    [Crossref] [Google Scholar]
  121. Proctor J, Carleton T, Sum S. 2023.. Parameter recovery using remotely sensed variables. NBER Work. Pap. 30861
    [Google Scholar]
  122. Quiñones EJ, Nobles J, Riosmena F, Nawrotzki R. 2023.. Anticipatory migration responses to rural climate shocks. . AEA Pap. Proc. 113::36771
    [Crossref] [Google Scholar]
  123. Reilly R, Flynn M. 2022.. The Ukraine crisis double standards: Has Europe's response to refugees changed? Rep., Mar. 2 , Glob. Deten. Proj., Geneva:. https://reliefweb.int/report/ukraine/ukraine-crisis-double-standards-has-europe-s-response-refugees-changed
    [Google Scholar]
  124. Ronald MA. 2020.. An assessment of economic and environmental impacts of refugees in Nakivale, Uganda. . Migr. Dev. 11::43349
    [Crossref] [Google Scholar]
  125. Rosenzweig MR, Stark O. 1989.. Consumption smoothing, migration, and marriage: evidence from rural India. . J. Political Econ. 97::90526
    [Crossref] [Google Scholar]
  126. Salemi C. 2021.. Refugee camps and deforestation in Sub-Saharan Africa. . J. Dev. Econ. 152::102682
    [Crossref] [Google Scholar]
  127. Salti N, Chaaban J, Moussa W, Irani A, Al Mokdad R, et al. 2022.. The impact of cash transfers on Syrian refugees in Lebanon: evidence from a multidimensional regression discontinuity design. . J. Dev. Econ. 155::102803
    [Crossref] [Google Scholar]
  128. Schewel K. 2020.. Understanding immobility: moving beyond the mobility bias in migration studies. . Int. Migr. Rev. 54::32855
    [Crossref] [Google Scholar]
  129. Scoones I. 1998.. Sustainable rural livelihoods: a framework for analysis. IDS Work. Pap. 72 , Inst. Dev. Stud., Sussex, UK:. https://www.ids.ac.uk/publications/sustainable-rural-livelihoods-a-framework-for-analysis/
    [Google Scholar]
  130. Senande-Rivera M, Insua-Costa D, Miguez-Macho G. 2022.. Spatial and temporal expansion of global wildland fire activity in response to climate change. . Nat. Commun. 13::1208
    [Crossref] [Google Scholar]
  131. Squalli J. 2010.. An empirical assessment of U.S. state-level immigration and environmental emissions. . Ecol. Econ. 69::117075
    [Crossref] [Google Scholar]
  132. Stark O, Bloom DE. 1985.. The new economics of labor migration. . Am. Econ. Rev. 75::17378
    [Google Scholar]
  133. Stecklov G, Winters P, Stampini M, Davis B. 2005.. Do conditional cash transfers influence migration? A study using experimental data from the Mexican PROGRESA program. . Demography 42::76990
    [Crossref] [Google Scholar]
  134. Taylor JE, Martin PL. 2001.. Human capital: migration and rural population change. . In Handbook of Agricultural Economics, Vol. 1, ed. B Gardner, G Rausser , pp. 457511. Amsterdam:: Elsevier
    [Google Scholar]
  135. Tumen S. 2016.. The economic impact of Syrian refugees on host countries: quasi-experimental evidence from Turkey. . Am. Econ. Rev. 106::45660
    [Crossref] [Google Scholar]
  136. UNHCR (UN High Comm. Refug.). 2022.. Global trends: forced displacement in 2022. Glob. Trends Rep. 2022 , UN High Comm. Refug., Geneva:. https://www.unhcr.org/sites/default/files/2023-06/global-trends-report-2022.pdf
    [Google Scholar]
  137. UNHCR (UN High Comm. Refug.). 2023.. Refugee data finder. UN High Comm. Refug., Geneva:. https://www.unhcr.org/refugee-statistics/download/?url=r14JPM
    [Google Scholar]
  138. USAID (US Agency Int. Dev.). 2022.. International food assistance report, FY 2021. Int. Food Assist. Rep., Rep. to Congress , US Agency Int. Dev., Washington, DC:. https://www.usaid.gov/reports/international-food-assistance/fy-2021
    [Google Scholar]
  139. Van Den Hoek J, Murillo-Sandoval P, Crumley RL, Devenish A, Fein F, et al. 2018.. Refugee camps as climate traps: measuring the enviro-climatic marginality of 922 global refugee camps with satellite time series data. Presented at the American Geophysical Union, Fall Meeting, December. https://ui.adsabs.harvard.edu/abs/2018AGUFMIN44A..04V/abstract
    [Google Scholar]
  140. Verme P, Schuettler K. 2021.. The impact of forced displacement on host communities: a review of the empirical literature in economics. . J. Dev. Econ. 50::102606
    [Crossref] [Google Scholar]
  141. Verwimp P, Maystadt JF. 2015.. Forced displacement and refugees in Sub-Saharan Africa: an economic inquiry. Policy Res. Work. Pap. 7517 , World Bank Group, Washington, DC:
    [Google Scholar]
  142. von der Goltz J, Schuettler K, Bousquet J, Kebede TA. 2023.. The labor market impact of forced displacement: jobs in host communities in Colombia, Ethiopia, Jordan, and Uganda. Exec. Summ. , World Bank Group, Washington, DC:
    [Google Scholar]
  143. Wan C, Roy SS. 2023.. Geospatial characteristics of fire occurrences in southern hemispheric Africa and Madagascar during 2001–2020. . J. For. Res. 34::55363
    [Crossref] [Google Scholar]
  144. Winkler RL, Rouleau MD. 2021.. Amenities or disamenities? Estimating the impacts of extreme heat and wildfire on domestic US migration. . Popul. Environ. 42::62248
    [Crossref] [Google Scholar]
  145. Wood RM, Sullivan C. 2015.. Doing harm by doing good? The negative externalities of humanitarian aid provision during civil conflict. . J. Politics 77::73648
    [Crossref] [Google Scholar]
  146. World Bank. 2023.. World Development Report 2023: Migrants, Refugees, and Societies. Washington, DC:: World Bank
    [Google Scholar]
  147. Wreikat MA, Al Kharabsheh AA. 2020.. Impact of over-pumping on groundwater resources sustainability at Amman Zarqa basin, Jordan: a case study of arid areas affected by Syrian refugee crisis. . Environ. Earth Sci. 79::19
    [Crossref] [Google Scholar]
  148. Zhao Z, Li W, Ciais P, Santoro M, Cartus O, et al. 2021.. Fire enhances forest degradation within forest edge zones in Africa. . Nat. Geosci. 14::47983
    [Crossref] [Google Scholar]
  149. Zhu H, Gupta A, Filipski M, Valli J, Gonzalez-Estrada E, Taylor JE. 2024.. Economic impact of giving land to refugees. . Am. J. Agric. Econ. 106::22651
    [Crossref] [Google Scholar]
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