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Migration in Vietnam : new evidence from recent surveys (Inglês)

The authors investigate determinants of individual migration decisions in Vietnam, a country with increasingly high levels of geographical labor mobility. Using data from the Vietnam Household Living Standards Survey (VHLSS) of 2012, the authors find that probability of migration is strongly associated with individual, household and community-level characteristics. The probability of migration is higher for young people and those with post-secondary education. Migrants are more likely to be from households with better-educated household heads, female-headed households, and households with higher youth dependency ratios. Members of ethnic minority groups are much less likely to migrate, other things equal. Using multinomial logit methods, we distinguish migration by broad destination, and find that those moving to Ho Chi Minh City or Hanoi have broadly similar characteristics and drivers of migration to those moving to other destinations. The authors also use VHLSS 2012 together with VHLSS 2010, which allows us to focus on a narrow cohort of recent migrants, those present in the household in 2010, but who have moved away by 2012. This yields much tighter results. For education below upper secondary school, the evidence on positive selection by education is much stronger. However, the ethnic minority ‘penalty’ on spatial labor mobility remains strong and significant, even after controlling for specific characteristics of households and communes. This lack of mobility is a leading candidate to explain the distinctive persistence of poverty among Vietnam’s ethnic minority populations, even as national poverty has sharply diminished.


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    Coxhead,Ian Andrew, Cuong,Nguyen Viet, Vu,Linh Hoang

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    Leste Asiático e Pacífico,

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    Migration in Vietnam : new evidence from recent surveys

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    migrant;total number of individual;quality of public service;migration decision;determinants of migration;reason for migration;migration for work;geographical labor mobility;per capita income;effect on migration;ethnic minority groups;characteristics of migrant;secondary school attainment;care of child;information on migration;cost of migration;destination of migrant;income and expenditure;labor market condition;choice of destination;Rate of migration;determinants of remittance;resource allocation decision;place of origin;global climate change;types of migration;per capita expenditure;share of children;land tenure security;agricultural household model;impact of remittance;household and individual;role of migration;credit market imperfection;flow of remittance;labor market development;youth dependency ratio;incomes of migrants;Migration and Remittances;domestic labor market;population at large;access to mobile;movement of labor;household head;work migration;income differential;explanatory variable;marginal effect;job opportunity;job opportunities;migration rate;labor demand;large farm;standard error;rural area;urban resident;internal migration;land area;gravity model;panel data;labor productivity;household composition;age distribution;remittance behavior;demographic characteristic;coefficient estimate;household variables;survey data;census data;migration experience;household wealth;migration model;destination areas;employment opportunities;social transfer;nonfarm income;young people;employment opportunity;social network;individual characteristic;urban unemployment;rural resident;unskilled job;migration pattern;old people;average age;marital status;logistic regression;small sample;contemporary migration;manufacturing enterprise;industrial zone;WTO Accession;transactions cost;poverty alleviation;urban employment;potential migrant;resettlement cost;destination market;migration costs;internal migrant;rural location;short distance;national poverty;research institute;household survey;urban migration;economic reform;spontaneous migration;rural employment;tertiary sector;earnings growth;behavioral norm;development policy;crop land;geographic variable;transition matrix;occupation skills;agricultural labor;urban people;dependent children;female head;household utility;rural commune;household characteristic;postsecondary education;econometric model;mountainous area;migration choices;0 hypothesis;basic model;farm household;production line;semiskilled worker;home industry;skilled laborer;saline intrusion;remote area;education level;middle-income household;metropolitan area;empirical result;female workers;family leave;instrumental variable;traditional migration;estimation method;push factor;estimation strategy;social policy;macroeconomic level;productive worker;economic migration;farm price;credit constraint;Agricultural Investment;net migration;regression analysis;short-term migration;social policies;migration hump;Higher Education;Capital Investments;real wage;pull factor;financial cost;household decision;utility function;adverse conditions;aggregate data;behavioral model;gravity equation;agricultural yield;portfolio diversification;information asymmetry;tropical area;market failure;household income;environmental factor;price level;migration trend;population movement;liquidity constraint;conventional theory;spatial variation;Labor migration;community characteristic;institutional barrier;utility maximization;destination location;cultural attribute;social factor;uninsurable risk;foreign employment;ethnic group;dependency rate;remittance income;daily market;migrant group;joint use;foreign country;estimation result;summary statistic;migration network;labor export;long-term migrant;financial contribution;measurement error;big city;individual data;international migrant;provincial boundaries;economic shock;household data;older worker;partial derivative;household asset;send remittance;individual variable;basic infrastructure



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