•We revisit the aid-migration link using a gravity model of international migration.•We find a negative relationship between the total aid received and emigration rates.•We conclude that aid mainly ...affects migration through improved public services.•This is in line with the reorientation of aid towards social sectors under the MDGs.
While policymakers hope to stem migration flows by giving foreign aid, existing empirical evidence points in the opposite direction: by loosening budget constraints, aid tends to encourage people to emigrate. In this paper, we revisit the aid-migration link using a substantially extended and adjusted econometric approach based on a gravity model of international migration. In contrast to the previous literature, we obtain evidence of a negative relationship between the total aid a country receives and emigration rates. This even holds for the poorer part of recipient countries, which suggests that the budgetary constraint channel does not play a significant role in shaping migration decisions. The most plausible explanation for these contrasting results is that, unlike in previous studies, we use migrant flows rather than migrant stocks as the dependent variable. In substantive terms, the limited importance of the budgetary constraint channel might reflect that positive welfare effects of foreign aid tend to manifest themselves in improved public services for the poor rather than higher incomes, which is in line with the reorientation of foreign aid towards social sectors under the Millennium Development Goals.
Migration is a global phenomenon that is driven by a variety of reasons, which can be categorized as push and pull factors. Push factors refer to negative circumstances that compel individuals to ...leave their country of origin and seek a better life elsewhere. In contrast, pull factors are positive conditions that attract individuals to a particular destination. These may include better job opportunities, greater security, better healthcare, and improved educational opportunities. It is important to note that the push and pull factors that influence migration can vary depending on an individual’s characteristics.In recent decades, one of the most significant developments in migration in developing countries has been the increasing participation of women in migration flows, including their growing independent migration to developed countries. Women represent a significant portion of human capital in these communities, so their involuntary migration can have negative impacts on the development process. It is thus crucial to identify and understand the underlying factors of women’s migration, which can inform appropriate policies to address the issue. The present study used experimental data from 28 developing countries and the generalized method of moments (GMM) to examine the interactive effect of globalization and entrepreneurship on women’s international migration during 2011–2020. The results indicated that improving women’s entrepreneurial conditions has a significantly negative impact on international migration, while increasing the level of education and poverty index can have a significantly positive impact. However, the social, political, and economic aspects of globalization moderate the negative effect of entrepreneurship on women’s international migration. In other words, with the reduction of barriers and geographical boundaries, women are more willing to engage in entrepreneurship and gain new job experiences in a different country. Moreover, improving the index of gender equality and individual freedoms in the country can have a significantly negative effect on the process of international migration of women. Policymakers can reduce migration by improving gender equality and individual freedoms, revising laws and regulations related to women’s business space, and supporting entrepreneurship.IntroductionIt is crucial to understand the gender complexities surrounding women’s international migration to maximize the benefits of migration for women— who constitute half of the migrant population—and to minimize its socio-economic costs for them, their families, and their countries of origin. This understanding can also help prevent negative consequences in immigration destinations. Women often migrate internationally to escape social restrictions or to improve their families’ living conditions and provide a better prospect for their children. However, excessive migration, especially among young women with high education and skills who are in their reproductive age, can have dangerous consequences, such as exacerbating the demographic crisis, destabilizing the family foundation, and reducing economic growth at the national level.The history of independent international migration of women, separate from men and families, only dates back to the last few decades. Therefore, a comprehensive understanding of the reasons behind this phenomenon requires consideration of the new and emerging variables affecting human society and women’s lives. One such variable is globalization, which eliminates geographical borders and allows for the free flow of ideas, goods, services, and capital.In addition to eliminating geographical borders, globalization has facilitated the movement of people and labor between different countries, which has also affected women’s international migration. In addition to eliminating geographical borders, globalization has facilitated the movement of people and labor between different countries, which has also affected women’s international migration. Furthermore, the growth of women’s economic participation and entrepreneurship has increased their material independence, which has influenced their international migration. Finally, increasing the degree of social, economic, and political globalization of countries by providing the ground for women’s entrepreneurship can also affect their international migration.The structural approach emphasizes that women’s migration is influenced by a variety of factors, each with varying degrees of effectiveness. Moreover, the economic, social, and political structures of the host society play a significant role in women’s decision-making regarding international migration. Women’s income and financial independence are crucial factors in their decision to migrate, which is directly influenced by women’s entrepreneurship. In fact, entrepreneurial power enables women to take advantage of opportunities in different parts of the world. Entrepreneurship is the basic driver of social health and wealth and a powerful engine of economic growth that promotes the necessity of innovation. Entrepreneurship is not only necessary to take advantage of new opportunities, improve productivity, and create employment but also to address some of the biggest challenges of society (Women’s Entrepreneurship Report, 2021). Innovative women entrepreneurs bring new solutions to the market with new sources of value that are not provided by competitors. International entrepreneurs outside their national borders also contribute to the global competitiveness of their country’s economy.Materials and MethodsThe study used multivariate regression analysis, a panel data approach, the generalized method of moments (GMM), and Stata software to estimate the interactive effect of globalization and entrepreneurship on women’s international migration. The statistical population of the study consisted of 28 developing countries used as the study sample. The model included the women’s international migration index as the dependent variable, while social, political, and economic globalization, women’s education, economic misery index, gender equality, and individual freedoms were considered as explanatory variables and effective factors of women’s migration.Results and DiscussionThe research model utilized in this study is a panel data type, which provides a more efficient estimation by limiting the problem of heterogeneity of variance, reducing collinearity between variables, and increasing the degree of freedom compared to cross-sectional data and time series (Baltaji, 2005). In addition, the present research model can be considered as dynamic according to De Brau (2019) and Sultana and Fatima (2017), where the dependent variable intercept appears as an explanatory variable on the right side of the equation. The mathematical expression of the model is as follows: The dependent variable of the model is International Migration of Women (MWit), and the explanatory variables include social (SGit), political (PGit), and economic (EGit) globalization, Women’s Entrepreneurship (WENTit), Women’s Education (WEDUit), Economic Misery index (EMit), Gender Equality (GEit), and Personal Freedoms (PFit).This research used a dynamic panel data model in which the dependent variable appears as an explanatory variable with an interval on the right side, a correlation is created between the disturbance component and the mentioned variable, and the estimation results are skewed. Therefore, the GMM was used to estimate the variables. This method does not require detailed information on the distribution of disturbance sentences, based on the assumption that the disturbance sentences in equations with a set of instrumental variables are not correlated. Two tests were conducted to ensure the suitability of GMM for model estimation. The Sargan test was used to test the validity of instrumental variables. A Sargan statistical probability value greater than 5% indicates the non-correlation of the instruments with the disturbance components, and hence, the instruments used in the estimation are valid. Second, the first-order AR(1) and second-order AR(2) residual correlation tests were employed. The results indicated that there is first-order serial correlation in all cases of estimation of disturbance sentences, but there is not second-order serial correlation or clear distortion. Table 1. Estimation results of the research modelSecond StateFirst StateDependent variable: International migration of woment StatisticCoefficientt StatisticCoefficientExplanatory Variables▼6/0060/1876/0430/192LnIMW (-1)---3/4610/158LnSG---2/4120/035LnPG---3/9560/163LnEG---4/208-0/179LnWENT3/7180/102---LnSG*WENT2/2560/061---LnPG*WENT3/4800/147---LnEG*WENT3/1140/2243/1650/231LnWEDU2/0170/0612/0260/058LnEM-5/512-0/346-5/387-0/351LnGE-4/968-0/186-4/914-0/190LnPF0/6126/1750/6086/03Sargan test statistic0/0000/0530/0000/057AR(1)0/7030/310/6910/30AR(2)228228Number of obs88Number of group2828Obs per groupConclusionAs economic, social, and political globalization increased in selected countries, so did the migration of women. The dissolution of geographical borders, the inability of developing economies to compete with developed counterparts, the disappearance of subcultures, and the familiarity of women with the culture and language of the destination countries all contributed to the increase in women’s international migration. Moreover, extroversion in foreign policy and the conclusion of understandings and bilateral/multilateral agreements of regional and international organizations for regular, easy, quick, and low-cost legal migration procedures also play a role in this context. The increasing trend of migration of skilled and expert women from developing countries to developed countries often results in improved employment opportunities, greater material benefits, and higher social status for these women.The establishment of entrepreneurship as a viabl
Immigration is one of the most divisive political issues in the United States, the United Kingdom, France, and several other Western countries. We estimate the impact of immigration on voting for ...far-left and far-right candidates in France, using panel data on presidential elections from 1988 to 2017. To derive causal estimates, we instrument more recent immigration flows by settlement patterns in 1968. We find that immigration increases support for far-right candidates. This is driven by low-educated immigrants from non-Western countries. We also find that immigration has a weak negative effect on support for far-left candidates, which could be explained by a reduced support for redistribution. We corroborate our analysis with a multinomial choice analysis using survey data.
•We study the determinants of location choice of foreign students.•We analyze that issue in a multi-origin multi-destination framework.•We find evidence of a network effect for the migration of ...students.•We find that quality of education and costs of living at destination play a role.•The role of education fees is more ambiguous.
This paper analyzes the determinants of the choice of location of international students. Building on the documented trends in international migration of students, we identify the various factors associated to the attraction of migrants as well as the costs of moving abroad. Using new data capturing the number of students from a large set of origin countries studying in a set of 13 OECD countries, we assess the importance of the various factors identified in the theory. We find support for a significant network effect in the migration of students, a result so far undocumented in the literature. We also find a significant role for cost factors such as housing prices and for attractiveness variables such as the reported quality of universities. In contrast, we do not find an important role for registration fees.
This article provides a spatio-temporal analysis of population diversity in French rural areas between 1975 and 2015 by considering the weight of the immigrant population and the variety of countries ...of birth of this population. It is based on a quantitative and longitudinal analysis of detailed data from the 1975, 1999, 2008 and 2015 population censuses. The originality of this article lies in a global approach to the different types of migration and the analysis of the trajectories of local territories over time. With this approach, the article shows that diversification trajectories have been dominant in the French countryside for the past forty years, but also that they have varied in pace and intensity according to the economic and demographic characteristics of the territories and their migration history. Taking into account these temporalities of social change is therefore essential to inform local public action on social integration.
•The increase in the immigrant population in French rural areas is most often combined with a diversification of this population.•While some rural areas have been attracting immigrants from specific origin groups for forty years, the majority are experiencing new patterns of co-presence at the local level.•The pace and intensity of diversification in rural areas depend on many characteristics of these areas (economic, demographic, migration history, etc.).•To understand the implications of this diversification of rural areas, it is necessary to analyse the local trajectories of the territories over time, in a longitudinal and place-based approach
What is the greatest single class of distortions in the global economy? One contender for this title is the tightly binding constraints on emigration from poor countries. Vast numbers of people in ...low-income countries want to emigrate from those countries but cannot. How large are the economic losses caused by barriers to emigration? Research on this question has been distinguished by its rarity and obscurity, but the few estimates we have should make economists' jaws hit their desks. The gains to eliminating migration barriers amount to large fractions of world GDP--one or two orders of magnitude larger than the gains from dropping all remaining restrictions on international flows of goods and capital. When it comes to policies that restrict emigration, there appear to be trillion-dollar bills on the sidewalk. PUBLICATION ABSTRACT
We provide an overview of the integration of refugees into the labor markets of a number of high-income countries. Discussing the ways in which refugees and economic migrants are differently selected ...and so might be expected to perform differently in a host country's labor market, we examine employment and wages for these groups over time after arrival. There is significant heterogeneity between host countries, but in general, refugees experience persistently worse outcomes than other migrants. While the gaps between the groups can be seen to decrease on a timescale of a decade or two, this is more pronounced in employment rates than it is in wages. We also discuss how refugees are distinct in terms of other factors affecting integration, including health, language skills, and social networks. We provide a discussion of insights for public policy in receiving countries, concluding that supporting refugees in early labor market attachment is crucial.
This paper explores the effects of a mother’s migration on her children’s well-being. I use children with migrant fathers as the main control group to separately identify the effects coming from ...remittances from those resulting from parental absence. Exploiting demand shocks as an exogenous source of variation in the probability that the mother migrates, I find suggestive evidence that children of migrant mothers are more likely to lag behind in school compared to children with migrant fathers. Controlling for remittances does not change this result, supporting the hypothesis that a mother’s absence has a stronger detrimental effect than a father’s.
In this paper, I empirically investigate the determinants of migration inflows into 14 OECD countries by country of origin between 1980 and 1995. I analyze the effect on migration of average income ...and income dispersion in destination and origin countries. I also examine the impact of geographical, cultural, and demographic factors as well as the role played by changes in destination countries' migration policies. My analysis both delivers estimates consistent with the predictions of the international migration model and generates empirical puzzles.
We explore the impact of migrant inventors on patent quality in Europe and the United States between 1990 and 2010. Drawing on a large sample of patent applications filed at the European Patent ...Office with a corresponding Patent Cooperation Treaty extension, we select inventor teams whose members reside in the countries of interest, but whose nationality may vary. In keeping with the literature, we find that migrant inventors are associated with higher quality patents via increased diversity at the team level, in addition to increased diversity at both the company and local level. This positive relationship with diversity persists after conditioning for the presence of migrants in the team, which is suggestive of cultural, and not merely functional, diversity.
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