Volume 5, Number 1, 2018, 73–89 journal homepage: region.ersa.org
DOI: 10.18335/region.v5i1.203

Barriers of Culture, Networks, and Language in International Migration: A Review*

Zhiling Wang1, Thomas de Graaff2, Peter Nijkamp3
1 Jinan University, Guangzhou, China
2 Vrije Universiteit Amsterdam and Tinbergen Institute, Amsterdam, the Netherlands
3 Tinbergen Institute, Amsterdam, the Netherlands and A. Mickiewicz University, Poznan, Poland Received: 28 August 2017/Accepted: 5 April 2018

*This paper originates from several chapters in the PhD dissertation of Zhiling Wang. We are grateful to Wim Bernasco, Uwe Blien, Joop Hartog, Jacques Poot, Andrés Rodríguez-Pose and Jouke van Dijk for their valuable comments and suggestions on an earlier version. All remaining errors are ours.

Abstract. Along with the increasing pace of globalization, recent decades faced a dramatic increase in international migrant flows as well. Compared to the flows of trade, capital and knowledge, we observe that contemporaneous complex institutional differences, historical backgrounds, and individuals’ diverse socio-demographic characteristics make the migrant workers’ choice of destination arguably much more uncontrollable. This study shows that migration is intertwined with culture, networks and language in a complex way, (i) by reviewing related studies on the barriers of culture, networks and language in international labor mobility, and (ii) by exploring missing gaps and prospective avenues for research. Nowadays, the migration pressure on Europe and the United states has created substantial challenges, leading to an urgent need to address the economic assimilation and social integration of migrants. Against this background, we emphasize that these non-economic factors have played an increasingly critical role in shaping international migration and its future socio-economic consequences for destination countries.

JEL classification: F22, Z10, Z13

Key words: migration, culture, networks, language

1 Introduction

Our life changed drastically with the pace of globalisation. For centuries, traders travelled far along the Silk Road through Asian regions, to exchange for exotic goods, culture and knowledge. Nowadays, cars are assembled in the United States with important parts coming from Japan and Germany, the Standard Chartered Bank initiates its management trainee programmes and hires graduates from all over the world, and global news networks such as CNN are broadcasting internationally and have a much broader audience than ever before.

There are countless examples that fit the four basic concepts of globalization: trade and transactions, capital and investment movements, migration and movement of people, and the dissemination of knowledge (IMF 2000). The swift expansion of transport networks and the prevalence of ICT use have helped to facilitate trade flows, capital flows and knowledge flows in a more or less systematic and organized manner. Labor flows are, however, a far more complicated phenomenon to study. On the one hand, labor flows are fundamental to creating a global economy, and the interplay among trade, capital and knowledge relies heavily on the mobility of workers (Chang 1999Freeman 2006Poot, Strutt 2010). On the other hand, the complex institutional differences, historical reasons, and individuals’ diverse socio-demographic characteristics, make the migrant workers’ choice for destinations much more uncontrollable (Massey et al. 1993Poot 1996). Moreover, migrants’ adjustment to the host society is still a heavily debated issue—both in research and the society at large. Finally, opposite to other flows, migration has a significant impact on the host society as labor force composition, consumptions patterns and even the type of commodities may change.

Social integration involves various multidimensional barriers: culture, networks and language are of particular importance. First, adjustment to a new culture and changes in identity might cause multiple stresses (Bhugra, Becker 2005). The current economic approach to cultural integration is mainly the analysis of individual incentives in forming a new cultural identity (Kónya 2007Nekby, Rödin 2010) and in transmitting values and beliefs across generations (Bisin, Verdier 20002001Kónya 2005). Second, developing new networks at the destination facilitates economic adjustment (Edin et al. 2003Munshi 2003Lancee 2012a). Migrants usually start developing networks of their own ethnic group, in turn limiting social interaction with the native population in the destination as time goes on. Third, overcoming language barriers is an essential step towards social integration, which not only brings economic benefit but also increases social welfare (Lazear 1999Florax et al. 2005Chiswick, Miller 2015).

Therefore, the objective of this paper is to review the existing literature on migrants’ location choice and adjustment to the host society, and explicitly focuses on the barriers that culture, networks and language sometimes raise. To do so, the next section first deals with a general discussion on migrants’ location choice and adjustment to the host society. Subsequently, Section 3 deals with the impact culture, networks and language have on these questions. In addition to reviewing the literature, Section 4 identifies remaining research gaps. The last section summarizes shortly.

2 People on the Move

To understand workers’ migration behavior, a solid (microeconomic) theoretical foundation is necessary. In this respect, four seminal studies are worth mentioning as a starting framework. Sjaastad (1962) is the first to apply human capital theory to understanding migration, where he treats migration as an investment increasing the productivity of human resources. This cost-benefit calculation is conceptualized into monetary costs, non-monetary costs, monetary returns and non-monetary returns. Katz, Stark (1987) further take into account the information asymmetry in the model. When employers are unable to detect the ability of potential migrant workers, there would be adverse selection discouraging high-ability workers to migrate. Later, Chiswick (1999) designs a human-capital model of investment in migration, and presents scenarios when the favorable selectivity of migrant workers would occur. We note that the models in the previous three studies apply to migrants who mainly move for economic opportunities. Besides economic migration, migrants may move for ‘non-economic’ reasons, such as tied movers1 and refugee migrants. A more sophisticated analysis is provided by Mincer (1978), who explores the effects of family ties relevant to migration decisions on the probability of migration, on consequent changes in employment and earnings of family members, and on family stability.2 To further understand barriers and filters in migration decisions, we need to review first a general framing of migration behavior.

First of all, migrants choose their destinations for a variety of reasons. A strand of migration literature tackles specifically the direction of labor flows and the attractiveness of regions. To summarize, three dominant factors play a significant role in affecting the migrants’ choice of destination: the local characteristics of the destination, the gravity force between origin and destination, and the individual characteristics of migrants. First and foremost, employment opportunities are frequently seen as the most predominant pull factor (Hicks 1932Greenwood, Hunt 1984). Besides the economic aspect, quality of local governance, public goods and services also increase the regional attractiveness for future residents (Tiebout 1956Glaeser et al. 2001Ketterer, Rodríguez-Pose 2015). Equally important is the value of local natural amenities, such as topographical, water or climate-related features. This is implicitly incorporated in the wage level and the housing price, and turns out to be another attractor for incoming migrants (Graves 1980Roback 1982Rappaport 2007Dorfman et al. 2011Rodríguez-Pose, Ketterer 2012Cai et al. 2016). Second, the pull from origin to destination includes many terms: high income differentials, shorter physical distance, closer cultural atmosphere, linguistic proximity, and larger flows of people between origin and destination. These factors could significantly increase the migrants’ probability of choosing a specific region or area (Greenwood 1975Bartel 1989Epstein, Gang 2006Bauer et al. 2007Fafchamps, Shilpi 2013Adserà 2015). Third, some individual characteristics mights affect migration patterns as well. For example, older people have higher preferences for favourable weather (Scott 2010). On the other hand, younger and highly educated households tend to move towards places with higher quality business environments (Chen, Rosenthal 2008).

Another intriguing issue which is of paramount importance to both migrants themselves and the host society, is the migrants’ post-arrival adjustment, where the key question is how migrants adjust to the host society. With regard to economic assimilation, Chiswick’s pioneering study with US census data shows that the earnings gains of foreign-born men are the greatest in the initial years upon arrival, tapering off with time in the destination country (Chiswick 1978). It initiated an avalanche of subsequent studies on the pattern of immigrants earnings assimilation in Canada, Australia and some European countries (see, e.g., Bloom, Gunderson 1991Baker, Benjamin 1994Chiswick et al. 2005Izquierdo et al. 2009Clark, Lindley 2009Algan et al. 2010Kaushal et al. 2016). The accumulation of destination-specific human capital, such as post-arrival schooling, language skill acquisition, and on-the-job training, is seen as the main instrument to realize earnings growth and occupational mobility. Nevertheless, social integration of migrants should go hand-in-hand with economic assimilation (Tselios et al. 2015). As Dustmann (1996) briefly puts it, ‘one should expect that social and economic adjustment are to some extent correlated.’

Lastly, and perhaps what the host society is most concerned about, is the short-term and long-term impact of migration flows on society itself. For example, do they fulfill vacancies which could have been filled by natives with the same labour characteristics, and exert an income distributional effect (Van Dijk, Folmer 1986Greenwood, McDowell 1986Lalonde, Topel 1997Borjas 2005Zorlu, Hartog 2005Hartog 2008)? What are the impacts on the population composition and the corresponding fiscal balance (Lee, Miller 2000Dustmann, Frattini 2014)? And do they affect the social cohesion of the host society (Alesina, La Ferrara 2005)? The public continuously addresses these questions with the aging of early cohorts and the incoming of recent cohorts.3


Figure 1: Niche of Research in this Review

As mentioned above, this review on migration is conducted in the niche of migrants’ locational choice and adjustment, with a particular focus on the barriers of culture, networks and language. Figure 1 summarizes the topics discussed above. In the next section, we will review some related studies on the three specific topics (culture, networks and language) in the migration literature, and thereafter discuss the current missing gaps and prospective avenues for research.

3 Barriers of Culture, Networks and Language

3.1 Introduction

Culture, networks and language all three play an important but complex role in migration decisions, assimilation and integration in the host society and as well in the impact migrants have on the host society. Culture and language similarity facilitate assimilation and integration and yield larger bilateral migration flows (see as well Table 1 below). However, language dissimilarity (e.g., English and Mandarin Chinese) could yield higher economic returns for the migrant as the specific language skill is scarce. Moreover, as strong migrant networks could be seen as harmful for integration, it might actually be beneficial for the migrant in the short-term as (psychological) migration costs are lowered. Finally, these three barriers are highly related with each other. For example, strong migrants networks may yield lower native language proficiency leading to persistent cultural barriers between native and migrant communities.

A summary of some previous studies on international migration and the barriers of culture, networks and language is shown in Table 1. As determinants of migration decisions, there are mixed insights and evidences about the role and strength of these barriers. Ethnic networks in a potential destination would be very likely to attract more migrants, but the effect might vary with individual portfolios. Cultural proximity and linguistic proximity are significant in some studies, but in most cases they are not more important than economic determinants. In the following three subsections, we review the recent literature and its main findings for all three types of barriers separately and deal with some of these mixed insights.

3.2 Culture

Typical migrant destination countries (such as the United States) are a melting pot of people with different cultural backgrounds. Here, culture must be regarded very broadly as it could constitute social norms and values, religion beliefs, family structures and so forth of groups of people.4 With respect to cultural diversity, the perspective of assimilation theory has dominated much of the sociological thinking for most of the twentieth century (see, e.g., Gordon 1964Sandberg 1974Alba, Nee 1997). According to this perspective, the minority group’s adoption of the cultural patterns of the host society typically comes first. Indeed, Algan et al. (2012) concludes for some European countries (France, Germany, Switzerland, etc) that immigrants’ values converge to the local context within a generation.

Table 1: Previous Studies on International Migration and Barriers of Culture, Networks and Language


Countries and Years


Bartel (1989)

The United States in 1980

The main determinants of the recent immigrant’s location choice is the percentage of his ethnic group that resides in a standard metropolitan statistical area.


Gross, Schmitt (2003)

OECD countries from the mid 1980s to the mid 1990s

the existence of similar cultural communities attracts new immigrants. However, the effect is not homogeneous for all types of source and destination countries.


Bauer et al. (2005)

Mexican migration to the United States

Enclaves (networks) negatively affect the language proficiency of migrants. Migrants choose smaller networks as location as their English proficiency improves.


Clark et al. (2007)

The United States from 1971 to 1978

The attraction force of networks and language are strong.


Pedersen et al. (2008)

OECD countries from 1990 to 2000

Network effects are strong, but vary between different groups of welfare states and between countries according to the type of immigration policy being applied.


McKenzie, Rapoport (2010)

Mexican migration to the United States in 1997

There is a positive or education-neutral selection in communities with weak migrant networks but a negative self-selection in communities with stronger networks.


Mayda (2010)

OECD countries from 1980 to 1996

Network effect imply that the bilateral migration flows are highly correlated over time. It could be driven by both supply factors and demand factors. The impact of a common language is not statistically significant.


Grogger, Hanson (2011)

OECD countries in 2000

Emigration is greater toward destinations that share a common language with the source. The pull of an existing migrant stock in a destination is stronger for less-skilled migrants.


Beine et al. (2011)

OECD countries in 1990 and 2000

Diasporas increase migration flows and lower their average educational level. Diasporas also explain majority of the variability of migration flows and selection.


Belot, Ederveen (2012)

OECD countries from 1990 to 2003

Cultural barriers do a much better job in explaining the pattern of migration flows between developed countries than traditional economic variables such as income and unemployment differentials.


Caragliu et al. (2013)

EUROSTAT 2002–2007 & OECD 1998–2007

Trust, financial, and institutional distance exert a negative effect on migration flows, but results results are sensitive to alternative choice of distance measures.


Adserà, Pytlikova (2015)

OECD countries from 1980 to 2010

Migration rates increase with linguistic proximity and with English at destination. Softer linguistic requirements for naturalisation and larger linguistic communities at destination encourage more migrants to move.


Wang et al. (2016)

European countries at the NUTS1 level in 2010

Cultural diversity increases regional attractiveness, while the average cultural distance between the natives and immigrants at the region greatly weakens attractiveness.

Nevertheless, various barriers to assimilation have more or less preserved the migrants’ cultural character over time. With the increasing diversity of origins in contemporary migrants, more researchers start paying attention to the economic benefits reaped from similar or distinctive sets of values and beliefs. Ottaviano, Peri (2005) and Suedekum et al. (2014) both find a positive effect of cultural diversity on local productivity, and then on wage and employment density of native workers. Ozgen et al. (2013) and Brunow, Blien (2014) demonstrate positive economic impacts of cultural diversity on productivity and innovation at the firm level. Niebuhr (2010) shows that the difference in knowledge and capabilities of workers from diverse cultural backgrounds enhances the performance of regional R&D sectors. Rodríguez-Pose, Hardy (2015) found that diversity amongst highly skilled workers exerts the strongest impact upon start-up intensities. Note that the measurement of cultural diversity measured is a decisive and complicating factor when the impact on the local economy is examined. See Nijkamp, Poot (2015) and Arribas-Bel et al. (2016) for a summary and extensive discussion of cultural diversity measurement.

The policy debate over to what extent the immigrants should adapt to the local cultural values and beliefs is often tense. The answer ‘yes’ or ‘no’ is never a satisfying remedy for social integration.5 It calls for more research that touches upon the quantitative measurement of cultural adoption, and interdisciplinary studies on the subsets of cultural traits or beliefs to be transmitted and integrated. Desmet et al. (2017) defined culture as traits reflecting norms, attitudes and preferences, and showed that the variation within an ethnic group is larger than that between groups. Ethnic diversity differs from cultural heterogeneity. Several novel attempts have been made in this direction as well, as a proper measure of cultural composition should reflect the degree to which key human values are shared in society between one country and the other country. Different dimensions of cultural values, beliefs and attitudes are linked to various economic outcomes (see, e.g., White, Tadesse 2008Beugelsdijk, Maseland 2011Beugelsdijk, Klasing 2016Wang et al. 2016Tubadji, Nijkamp 2015Ginsburgh, Noury 2008). Another interesting measure created by Constant et al. (2009) reflects the degree of ethnic identity (the ethnosizer) by combining information on language, culture, societal interaction, history of migration, and ethnic self-identification, which enables researchers to classify immigrants into four states: integration, assimilation, separation, and marginalization. This measure quantifies migrants’ commitment both to the origin and to the destination, and can be linked to explain a number of immigrants’ economic and social behaviours.

3.3 Networks

The topic of social networks seems to be quite a full-fledged field in migration research.6 Apart from the role of social interaction in relation to fertility, smoking, crime, friendship, etcetera (see, inter alia, Kohler et al. 2001Soetevent, Kooreman 2007Bernasco et al. 2017Xu 2017), economists, psychologists and sociologists have conducted especially a number of studies on the importance of social networks, especially, for labor market performance, as social networks might facilitate finding a job in the migrant community but could harm acquiring skill necessary for finding high-skilled jobs outside the migrant community (see, e.g., Rees 1966Granovetter 1974Lin et al. 1981Montgomery 1991Ioannides, Loury 2004Wahba, Zenou 2005). Recently, a growing area of literature has emerged, which focuses on the distinction between the co-ethnic network and the inter-ethnic network for migrants (Putnam 2000Munshi 2003Kazemipur 2006Patacchini, Zenou 2012Lancee 2012bTselios et al. 20152016Chiswick, Wang 2016). It turns out that contact with natives yields unambiguously positive returns, because it provides immigrants with information on higher quality job offers and assistance in assimilation. However, the economic returns of co-ethnic contacts are less clear-cut. Socializing with co-ethnics provides assistance in job information and initial settlement. Yet, while embedding into co-ethnic networks enhances ethnic solidarity, it retards contact with the host society. This may hamper upward economic mobility.

Still, there is a missing gap in this field. To fully utilize social networks to integrate, it is necessary to investigate the network formation process. Glaeser (2001) calls especially for more work on the causes of social capital. ‘Indeed, the weakness of this research is not in either the theory or the empirical work on the effects of social capital. The real weakness is the lack of both theory and empirical work focusing on the causes of social capital. If we are going to change the level of social capital, we must have a coherent model of the formation of social capital and a body of empirical work that we trust about the formation of norms and networks.’ While Jackson, Wolinsky (1996), Bala, Goyal (2000), Brueckner (2006), and Currarini et al. (2009) model network stability on the basis of cooperative game theory, few studies have looked at the meso-level determinants of individual social networks, such as local labor market conditions. If any, Roskruge et al. (2012) tried to explain individual social capital formation by the local expenditure on social infrastructure; Wang (2016) positioned immigrants’ social capital formation in local labor market conditions; Zenou (2015) and Sato, Zenou (2015) related social network formation with local job-destruction and job-information rate.

3.4 Language

Language skills are considered as major economic assets for individuals, as they facilitate communication on the job and are a major determinant of economic gains in the host country. Indeed, a frequently found result and widely accepted fact is that adult male immigrants with a fluent level in the local language earn a wage premium in the range from 5 % to 35 % (see, e.g., Carliner 1981McManus et al. 1983Grenier 1984Chiswick 1998Chiswick, Miller 2002Dustmann, Fabbri 2003Budria, Swedberg 2012Beckhusen et al. 2013Chiswick, Wang 2016). A unified methodology in most of the studies is to employ a human capital earnings function (Mincer 1974). Two cumbersome issues lead to biased estimates in the regression: misclassified language indicators (Dustmann, Van Soest 2001), and endogeneity between language and earnings (Chiswick, Miller 1995). Refined datasets, valid instruments, and using longitudinal feature of dataset, could all increase the precision of the estimates.

Besides, a number of studies look at foreign language (other than the local language) skills (Grin 2001Fry, Lowell 2003Henley, Jones 2005Christofides, Swidinsky 2010Williams 2011Ginsburgh, Prieto-Rodriguez 2011Toomet 2011Isphording 2013Di Paolo, Tansel 2015Stohr 2015Chiswick, Miller 2016). Although acquiring a foreign language skill is not compulsory for migrants to integrate, mastering a foreign language skill has its economic value and is well appreciated in the labour market in most cases (European Commission 2008).

It should be noted however, that the reward patterns for natives and migrants are not necessarily the same. For low-educated group of migrants, they do not seem to benefit from using a foreign language (Wang et al. 2017Lang, Siniver 2009). Under the circumstance that migrants are not fully fluent in the local language at the destination, they have to choose which type of human capital to invest in to maximise their future earnings.

The conventional models (Lazear 1999) need to be extended by incorporating multiple linguistic skills, where benefits of each language should be clearly weighed. The cost of acquiring a language, on the other hand, is associated with its degree of difficulty, which is closely correlated with the linguistic distances between one’s mother tongue and the new language. Chiswick, Miller (2015) and Ginsburgh, Weber (2014) have summarized some methods to compute linguistic distances up to date, namely, (1) language Ethnologue, (2) lexicostatistical distances, and (3) the Levenshtein distance. More interestingly, recent cross-country studies by Chen (2013) and Roberts et al. (2015) have related the structure of people’s language (e.g., the use of tense) to decision making, where the linguistic contents contributed significantly to explaining peoples’ economic behavior. Whether the language structure is also associated with the effort to acquire a linguistic skill, remains an empirical question to be tested.

4 Future Research Agenda

The dynamics of the regional or urban demographic and cultural fabric and its continuing attractiveness for incoming migrants is a fascinating field that deserves to be thoroughly studied. The regional cultural composition is more often studied in a static setting. In reality, however, the regional cultural composition keeps evolving, with the inflow of migrants and with the evolution of cultural integration. Consider how the Dutch culture in the 17th century transformed with the inflow of migrants from Flanders and the Portuguese and Spanish Sephardi Jewish community in the 16th century, and the French Huguenot community in the 17th century. Clearly, the contemporaneous world is becoming more and more globalised. Moving between countries will likely become for many people much easier in the future with the sharply decreasing cost of travel. Physical barriers (such as borders and distance) are in many cases no longer the predominant factor that prevents the labor flow. In the meantime, more and more temporary migration decisions take place due to the emerging trend to move frequently for studying or working reasons. In that case, migrants might trade off their preferred cultural composition for higher productivity and wages in a specific region. It is of course interesting to study regional culture integration over time in combination with the pace of a region or city that is continuously absorbing immigrants over time. Is there a steady state for regional cultural composition in terms of specific values and beliefs? And what are the evolution paths for cultural evolution?

The social network formation and the dynamics of social networks evolution are thus worth being studied as well. Few studies focus on how the network is formed in the beginning if two identical migrants were to be exposed to different groups, ceteris paribus. The evolution of initial network composition might be closely correlated with individuals’ life-cycle behavior and local labor market conditions in later stages. Is there a lock-in effect for immigrants who have developed a dense co-ethnic network upon arrival? Can it cause a social status trap? In reality, we do see that path dependency exists in many cases. For example, ethnic segregation influences migrants’ choice of schools for their kids. It is highly likely that their kids are still getting substantial exposure to their own ethnic group. If so, how to trigger immigrants to reach out to the native people? There are some life-cycle behavioral elements that might play a role here in facilitating the formation of native networks, which deserves further attention. Events such as fertility, employment and job changes could to a large extent affect their network composition. In that case, how stable would the network be? And on the meso-level, how does this contribute to social cohesion of the local society? In the meantime, bridging this topic to the urban economic literature will supplement the missing elements in the current model, i.e. urban amenities, environmental sustainability, housing price, cost of living, etc. The interdependent relationship with the urban characteristics and social interaction deserves much more attention, with the decreasing cost of communication, and the increasing use of networks in job activities.

With regard to language, a promising extension may be fundamental research on human capital investment, both regarding local language and foreign language skills for migrants. Given the limited time for human capital accumulation, a comparison between the economic payoffs from the local language and another foreign language needs to be incorporated into conventional language acquisition theory. The cost function of acquiring a specific language then should be associated with the linguistic distance from one’s mother tongue. This has, so far, not yet received due attention in the migration economic literature. Second, given that the prevalence of English is quite common in various (e.g. Nordic) countries, it remains interesting to investigate the deterring effect on migrant workers of foreign language proficiency at work on local language proficiency. This might well fit the pattern of a substantial share of high-skilled workers in Europe who use English only, and in the meantime are well integrated into the host society. A third strand of future research could be focused on the social benefits of acquiring local language proficiency and foreign language skills. For the majority, speaking a common language reduces the cost of communication on the meso-level, and implicitly works as a channel to increase transactions and to promote regional economic growth. A fourth extension is a further merging of current individual data with firm data, in order to provide a more thorough analysis of the heterogeneous labor market returns to different languages. The firm data record the specific tasks of workers, and details on the requirements (communication, technical skills, etc). With the increasing accessibility to international databases nowadays, this is foreseeably a new and promising direction in the literature.

Finally, an area that received less (empirical) attention but is arguably becoming increasingly more important is out-migration (and then specifically of migrants). Nowadays, migrant destination countries face student migrants, temporary labor migrants, and even retired migrants desiring to return to their country of origin. This might lead to (human) capital skills flowing back to origin countries, as the inverse of a brain drain. In all likelihood, these migrant flows become larger in the near future and is an issue that definitely deserves more attention.

5 Concluding Remarks

Migration is nowadays high on the political agenda in Europe due to the recent influx of migrants from the Middle East and North African countries to Europe. The alarming rise of migrant arrivals has created substantial challenges for Europe, which is facing an urgent need to address the economic assimilation and social integration of migrants and refugees. This long-term process requires gradual steps, given that many migrants are very different from natives in terms of economic situation, skills, and cultural background. It is, therefore, essential to know how strong the barriers are for incoming migrants to live in a new country, and what the economic payoffs are once they have overcome the barriers.

We have demonstrated that migration is in a complex way intertwined with culture, networks, and language. Geographic proximity does not necessarily mean cultural proximity, nor does it mean linguistic proximity. Many precise measurements of these definitions are nowadays being developed with contributions from economists, sociologists, geographers, linguists, etcetera. Many more studies still need to be undertaken to link them to regional economic growth or individual economic progress. Clearly, this review paper offers by no means an analysis of the complete range of topics related to barriers of culture, networks, and language for migration. Its modest task is to achieve the goal of providing informal insights into the significant role of migration barriers and the necessity to overcome them from a socio-economic perspective.


   Adserà A (2015) Language and culture as drivers of migration. IZA World of Labor 164[July]: 1–10. CrossRef.

   Adserà A, Pytlikova M (2015) The role of language in shaping international migration. Economic Journal 125[586]: F49–F81. CrossRef.

   Alba R, Nee V (1997) Rethinking assimilation theory for a new era of immigration. International Migration Review 31[4]: 826–874. CrossRef.

   Alesina A, La Ferrara E (2005) Ethnic diversity and economic performance. Journal of Economic Literature 43[3]: 762–800. CrossRef.

   Algan Y, Bisin A, Manning A, Verdier T (2012) Cultural Integration of Immigrants in Europe. Oxford University Press, Oxford. CrossRef.

   Algan Y, Dustmann C, Glitz A, Manning A (2010) The economic situation of first and second-generation immigrants in France, Germany and the United Kingdom. Economic Journal 120[542]: F4–F30. CrossRef.

   Arribas-Bel D, Nijkamp P, Poot J (2016) How diverse can measures of segregation be? Results from Monte Carlo simulations of an agent-based model. Environment and Planning A 48[10]: 2046–2066. CrossRef.

   Baker M, Benjamin D (1994) The performance of immigrants in the Canadian labor market. Journal of Labor Economics 12[3]: 369–405. CrossRef.

   Bala V, Goyal S (2000) A noncooperative model of network formation. Econometrica 68[5]: 1181–1229. CrossRef.

   Bartel AP (1989) Where do the new U.S. immigrants live. Journal of Labor Economics 7[4]: 371–391. CrossRef.

   Bauer T, Epstein GS, Gang IN (2007) The influence of stocks and flows on migrants’ location choices. In: Polachek SW, Bargain O (eds), Aspects of Worker Well-Being, Research in Labor Economics, Volume 26. Emerald Group Publishing Limited, 199 – 229. CrossRef.

   Bauer TK, Epstein GS, Gang IN (2005) Enclaves, language, and the location choice of migrants. Journal of Population Economics 18[4]: 649–662. CrossRef.

   Beckhusen J, Florax RJGM, De Graaff T, Poot J, Waldorf B (2013) Living and working in ethnic enclaves: English language proficiency of immigrants in US metropolitan areas. Papers in Regional Science 92[2]: 305–328. CrossRef.

   Beine M, Docquier F, Ozden C (2011) Diasporas. Journal of Development Economics 95[1]: 30–41. CrossRef.

   Belot M, Ederveen S (2012) Cultural barriers in migration between OECD countries. Journal of Population Economics 25[3]: 1077–1105. CrossRef.

   Bernasco W, de Graaff T, Rouwendal J, Steenbeek W (2017) Social interactions and crime revisited: An investigation using individual offender data in Dutch neighborhoods. The Review of Economics and Statistics 99[4]: 622–636. CrossRef.

   Beugelsdijk S, Klasing MJ (2016) Diversity and trust: The role of shared values. Journal of Comparative Economics 44[3]: 522–540. CrossRef.

   Beugelsdijk S, Maseland R (2011) Culture in Economics. Cambridge University Perss, New York. CrossRef.

   Bhugra D, Becker MA (2005) Migration, cultural bereavement and cultural identity. World Psychiatry 4[1]: 18–24. CrossRef.

   Bisin A, Verdier T (2000) ”Beyond the melting pot”: Cultural transmission, marriage, and the evolution of ethnic and religious traits. Quarterly Journal of Economics 115[3]: 955–988. CrossRef.

   Bisin A, Verdier T (2001) The economics of cultural transmission and the dynamics of preferences. Journal of Economic Theory 97[2]: 298–319. CrossRef.

   Bloom DE, Gunderson M (1991) An analysis of the earnings of Canadian immigrants. In: Abowd JM, Freeman RB (eds), Immigration, Trade and the Labor Market. University of Chicago Press, 321–342. CrossRef.

   Bodvarsson ÖB, Simpson NB, Sparber C (2015) Migration theory. In: Chiswick BR, Miller PW (eds), Handbook of the Economics of International Migration, Volume 1A. Elsevier B.V., 3–51. CrossRef.

   Borjas GJ (2005) The labor-market impact of high-skill immigration. American Economic Review 95[2]: 56–60. CrossRef.

   Brueckner JK (2006) Friendship networks. Journal of Regional Science 46[5]: 847–865. CrossRef.

   Brunow S, Blien U (2014) Effects of cultural diversity on individual establishments. International Journal of Manpower 35[1/2]: 166–186. CrossRef.

   Budria S, Swedberg P (2012) The impact of language proficiency on immigrants’ earnings. IZA Discussion Paper Nr. 6957, Institut zur Zukunft der Arbeit, Bonn, Germany

   Cai R, Feng S, Oppenheimer M, Pytlikova M (2016) Climate variability and international migration: The importance of the agricultural linkage. Journal of Environmental Economics and Management 79: 135–151. CrossRef.

   Caragliu A, Del Bo C, de Groot HL, Linders GJM (2013) Cultural determinants of migration. The Annals of Regional Science 51[1]: 7–32. CrossRef.

   Carliner G (1981) Wage differences by language group and the market for language skills in Canada. The Journal of Human Resources 16[3]: 384–399. CrossRef.

   Chang HF (1999) Migration as international trade: The economic gains from the liberalized movement of labor. Immigration and Nationality Law Review 20: 339–382

   Chen MK (2013) The effect of language on economic behavior: Evidence from savings rates, health behaviors, and retirement assets. The American Economic Review 103[1032]: 690–731. CrossRef.

   Chen Y, Rosenthal SS (2008) Local amenities and life-cycle migration: Do people move for jobs or fun? Journal of Urban Economics 64[3]: 519–537. CrossRef.

   Chiswick BR (1978) The effect of Americanization on the earnings of foreign-born men. Journal of Political Economy 86[5]: 897–921. CrossRef.

   Chiswick BR (1998) Hebrew language usage: Determinants and effects on earnings among immigrants in Israel. Journal of Population Economics 11[2]: 253–271. CrossRef.

   Chiswick BR (1999) Are immigrants favorably self-selected? The American Economic Review 89[2]: 181–185. CrossRef.

   Chiswick BR, Lee YL, Miller PW (2005) Immigrant earnings: A longitudinal analysis. Review of Income and Wealth 51[4]: 485–503. CrossRef.

   Chiswick BR, Miller PW (1995) The endogeneity between language and earnings: International analyses. Journal of Labor Economics 13[2]: 246–88. CrossRef.

   Chiswick BR, Miller PW (2002) Immigrant earnings: Language skills, linguistic concentrations and the business cycle. Journal of Population Economics 15[1]: 31–57. CrossRef.

   Chiswick BR, Miller PW (2015) International migration and the economics of language. In: Chiswick BR, Miller PW (eds), Handbook of the Economics of International Migration, Volume 1A. Elsevier B.V., 211–269. CrossRef.

   Chiswick BR, Miller PW (2016) Does bilingualism among the native born pay? IZA Discussion Paper Nr. 9791, Institut zur Zukunft der Arbeit, Bonn, Germany

   Chiswick BR, Wang Z (2016) Social contacts, Dutch language proficiency, and immigrant economic performance in the Netherlands: A longitudinal study. IZA Discussion Paper Nr. 9760, Institut zur Zukunft der Arbeit, Bonn, Germany

   Christofides LN, Swidinsky R (2010) The economic returns to the knowledge and use of a second official language: English in Quebec and French in the rest-of-Canada. Canadian Public Policy 36[2]: 137–158. CrossRef.

   Clark K, Lindley J (2009) Immigrant assimilation pre and post labour market entry: Evidence from the UK Labour Force Survey. Journal of Population Economics 22[1]: 175–198. CrossRef.

   Clark X, Hatton TJ, Williamson JG (2007) Explaining U.S. immigration 1971-1998. The Review of Economics and Statistics 89[2]: 359–373. CrossRef.

   Constant AF, Gataullina L, Zimmermann KF (2009) Ethnosizing immigrants. Journal of Economic Behavior and Organization 69[3]: 274–287. CrossRef.

   Currarini S, Jackson MO, Pin P (2009) An economic model of friendship: Homophily, minorities, and segregation. Econometrica 77[4]: 1003–1045. CrossRef.

   Desmet K, Ortuño-ortín I, Wacziarg R (2017) Culture, ethnicity and diversity. The American Economic Review (forthcoming). CrossRef.

   Di Paolo A, Tansel A (2015) Returns to foreign language skills in a developing country: The case of Turkey. Journal of Development Studies 51[4]: 407–421. CrossRef.

   Dorfman JH, Partridge MD, Galloway H (2011) Do natural amenities attract high-tech jobs? Evidence from a smoothed Bayesian spatial model. Spatial Economic Analysis 6[4]: 397–422. CrossRef.

   Dustmann C (1996) The social assimilation of immigrants. Journal of Population Economics 9: 37–54. CrossRef.

   Dustmann C, Fabbri F (2003) Language proficiency and labour market performance of immigrants in the UK. Economic Journal 113[489]: 695–717. CrossRef.

   Dustmann C, Frattini T (2014) The fiscal effects of immigration to the UK. Economic Journal 124[580]: F593–F643. CrossRef.

   Dustmann C, Van Soest A (2001) Language fluency and earnings: Estimations with misspecified indicators. The Review of Economics and Statistics 83[4]: 663–674. CrossRef.

   Edin PA, Fredriksson P, Aslund O (2003) Ethnic enclaves and the economic success of immigrants–evidence from a natural experiment. The Quarterly Journal of Economics 118[1]: 329–357. CrossRef.

   Epstein GS (2008) Herd and network effects in migration decision-making. Journal of Ethnic and Migration Studies 34[4]: 567–583. CrossRef.

   Epstein GS, Gang IN (2006) The influence of others on migration plans. Review of Development Economics 10[4]: 652–665. CrossRef.

   European Commission (2008) Multilingualism: An asset for Europe and a shared commitment. Technical report, Commision of the European Commnuties, Brussels

   Fafchamps M, Shilpi F (2013) Determinants of the choice of migration destination. Oxford Bulletin of Economics and Statistics 75[3]: 388–409. CrossRef.

   Florax RJGM, de Graaff T, Waldorf BS (2005) A spatial economic perspective on language acquisition: Segregation, networking, and assimilation of immigrants. Environment and Planning A 37[10]: 1877–1897. CrossRef.

   Freeman RB (2006) People flows in globalization. Journal of Economic Perspectives 20[2]: 145–170. CrossRef.

   Fry R, Lowell L (2003) The value of bilingualism in the U.S. labor market. Industrial and Labor Relations Review 57[1]: 128–140. CrossRef.

   Ginsburgh V, Noury AG (2008) The Eurovision Song Contest. Is voting political or cultural? European Journal of Political Economy 24[1]: 41–52. CrossRef.

   Ginsburgh V, Weber S (2014) Culture, linguistic diversity, and economics. In: Ginsburgh V, Throsby D (eds), Handbook of the Economics of Art and Culture (2nd ed.). Elsevier B.V. CrossRef.

   Ginsburgh VA, Prieto-Rodriguez J (2011) Returns to foreign languages of native workers in the EU. Industrial and Labor Relations Review 64[3]: 599–618

   Glaeser EL (2001) The formation of social capital. ISUMA-The Canadian Journal of Policy Research 2: 34–40

   Glaeser EL, Kolko J, Saiz A (2001) Consumer city. Journal of Economic Geography 1[1]: 27–50. CrossRef.

   Gordon MM (1964) Assimilation in American Life: The Role of Race, Religion, and National Origins. Oxford University Press, New York

   Granovetter M (1974) Getting a job: A study of contacts and careers (first ed.). Harvard University Press, Cambridge, MA

   Graves PE (1980) Migration and climate. Journal of Regional Science 20[2]: 227–237. CrossRef.

   Greenwood MJ (1975) Research on internal migration in the United States: A survey. Journal of Economic Literature 13[2]: 397–433

   Greenwood MJ, Hunt GL (1984) Migration and interregional employment redistribution in the United States. The American Economic Review 74[5]: 957–969

   Greenwood MJ, McDowell JM (1986) The factor market consequences of U.S. Immigration. Journal of Economic Literature 24[4]: 1738–1772

   Grenier G (1984) The effects of language characteristics on the wage of Hispanic-American males. The Journal of Human Resources 19[1]: 35–52. CrossRef.

   Grin F (2001) English as economic value: Facts and fallacies. World Englishes 20[1]: 65–78. CrossRef.

   Grogger J, Hanson GH (2011) Income maximization and the selection and sorting of international migrants. Journal of Development Economics 95[1]: 42–57. CrossRef.

   Gross DM, Schmitt N (2003) The role of cultural clustering in attracting new immigrants. Journal of Regional Science 43[2]: 295–318. CrossRef.

   Hartog J (2008) Immigration and society. European Review 16[04]: 511. CrossRef.

   Henley A, Jones RE (2005) Earnings and linguistic proficiency in a bilingual economy. The Manchester School June: 300–320. CrossRef.

   Hicks J (1932) The Theory of Wages. Macmillan, London. CrossRef.

   Hofstede GH (1982) Culture’s Consequences: International Differences in Work-related Values. Sage, Newbury Park, CA

   IMF – International Monetary Fund (2000) Globalization: Threats or opportunity? IMF publications. CrossRef.

   Ioannides YM, Loury LD (2004) Job information networks, neighborhood effects, and inequality. Journal of Economic Literature XLII: 1056–1093. CrossRef.

   Isphording IE (2013) Returns to foreign language skills of immigrants in Spain. Labour 27[4]: 443–461. CrossRef.

   Izquierdo M, Lacuesta A, Vegas R (2009) Assimilation of immigrants in Spain: A longitudinal analysis. Labour Economics 16[6]: 669–678. CrossRef.

   Jackson MO, Wolinsky A (1996) A strategic model of social and economic networks. Journal of Economic Theory 71[1]: 44–74. CrossRef.

   Katz E, Stark O (1987) International migration under asymmetric information. The Economic Journal 97[387]: 718–726. CrossRef.

   Kaushal N, Lu Y, Denier N, Wang JSH, Trejo SJ (2016) Immigrant employment and earnings growth in Canada and the U.S.: Evidence from longitudinal data. Journal of Population Economics 29[4]: 1249–1277

   Kazemipur A (2006) The market value of friendship: Social networks of immigrants. Canadian Ethnic Studies Journal 38[2]: 47–71

   Ketterer TD, Rodríguez-Pose A (2015) Local quality of government and voting with one’s feet. The Annals of Regional Science 55[2]: 501–532. CrossRef.

   Kohler HP, Behrman JR, Watkins SC (2001) The density of social networks and fertility decisions: Evidence from south Nyanza district, Kenya. Demography 38[1]: 43–58. CrossRef.

   Kondoh K (2017) The Economics of International Migration. Springer, Singapore. CrossRef.

   Kónya I (2005) Minorities and majorities: A dynamic model of assimilation. Canadian Journal of Economics 38[4]: 1431–1452. CrossRef.

   Kónya I (2007) Optimal immigration and cultural assimilation. Journal of Labor Economics 25[2]: 367–391. CrossRef.

   Lalonde RJ, Topel RH (1997) Economic impact of international migration and the economic performance of migrants. In: Rosenzweig M, Stark O (eds), Handbook of Population and Family Economics. Elsevier Science B.V., Chapter 14, 800–850. CrossRef.

   Lancee B (2012a) Immigrant performance in the labour market. Ph. D. thesis, Univeristy of Amsterdam

   Lancee B (2012b) The economic returns of bonding and bridging social capital for immigrant men in Germany. Ethnic and Racial Studies 35[4]: 664–683. CrossRef.

   Lang K, Siniver E (2009) The return to English in a non-English speaking country: Russian immigrants and native Israelis in Israel. The B.E. Journal of Economic Analysis & Policy 9[1]: 1–30. CrossRef.

   Lazear EP (1999) Culture and language. Journal of Political Economy 107[S6]: S95–S126. CrossRef.

   Lee R, Miller T (2000) Immigration, social security, and broader fiscal impacts. The American Economic Review 90[2]: 350–354. CrossRef.

   Lin N, Vaughn JC, Ensel WM (1981) Social resources and occupational status attainment. Social Forces 59[4]: 1163–1181. CrossRef.

   Massey DS, Arango J, Hugo G, Kouaouci A, Pellegrino A, Taylor JE (1993) Theories of international migration: A review and appraisal. Population and Development Review 19[3]: 431–466. CrossRef.

   Mayda AM (2010) International migration: A panel data analysis of the determinants of bilateral flows. Journal of Population Economics 23[4]: 1249–1274. CrossRef.

   McKenzie D, Rapoport H (2010) Self-selection patterns in Mexico-U.S. migration: The role of migration networks. The Review of Economics and Statistics 92[4]: 811–821. CrossRef.

   McManus W, Gould W, Welch F (1983) Earnings of Hispanic men: The role of English language proficiency. Journal of Labor Economics 1[2]: 101–130. CrossRef.

   Mincer J (1974) Schooling, experience and earnings. National Bureau of Economic Research., New York, NY

   Mincer J (1978) Family migration decisions. Journal of Political Economy 86[5]: 749–773. CrossRef.

   Montgomery JD (1991) Social networks and labor-market: Toward an economic analysis. American Economic Review 81[5]: 1408–1418

   Munshi K (2003) Networks in the modern economy: Mexican migrants in the U.S. labor market. The Quarterly Journal of Economics 118[2]: 549–599. CrossRef.

   Nekby L, Rödin M (2010) Acculturation identity and employment among second and middle generation immigrants. Journal of Economic Psychology 31[1]: 35–50. CrossRef.

   Niebuhr A (2010) Migration and innovation: Does cultural diversity matter for regional R&D activity? Papers in Regional Science 89[3]: 563–585. CrossRef.

   Nijkamp P, Poot J (2015) Cultural diversity: A matter of measurement. In: Nijkamp P, Poot J, Bakens J (eds), The Economics of Cultural Diversity. Edward Elgar, Cheltenham, 17–51. CrossRef.

   Nijkamp P, Poot J, Sahin M (2012) Migration Impact Assessment: New Horizons. Edward Elgar, Cheltenham. CrossRef.

   Ottaviano GI, Peri G (2005) Cities and cultures. Journal of Urban Economics 58[2]: 304–337. CrossRef.

   Ozgen C, Nijkamp P, Poot J (2013) The impact of cultural diversity on firm innovation: Evidence from Dutch micro-data. IZA Journal of Migration 2[18]: 1–24. CrossRef.

   Patacchini E, Zenou Y (2012) Ethnic networks and employment outcomes. Regional Science and Urban Economics 42[6]: 938–949. CrossRef.

   Pedersen PJ, Pytlikova M, Smith N (2008) Selection and network effects–migration flows into OECD countries 1990-2000. European Economic Review 52[7]: 1160–1186. CrossRef.

   Poot J (1996) Information, communication, and networks in international migration system. The Annals of Regional Science 30[1]: 55–73. CrossRef.

   Poot J, Strutt A (2010) International trade agreements and international migration. The World Economy 33[12]: 1923–1954. CrossRef.

   Putnam RD (2000) Bowling alone: The collapse and revival of American community. Simon and Schuster. CrossRef.

   Rappaport J (2007) Moving to nice weather. Regional Science and Urban Economics 37[3]: 375–398. CrossRef.

   Rees A (1966) Information networks in labor markets. American Economic Review 56[1]: 559–566

   Roback J (1982) Wages, rents, and the quality of life. The Journal of Political Economy 90[6]: 1257–1278. CrossRef.

   Roberts SG, Winters J, Chen K (2015) Future tense and economic decisions: Controlling for cultural evolution. PLoS ONE 10[7]: 1–46. CrossRef.

   Rodríguez-Pose A, Hardy D (2015) Cultural diversity and entrepreneurship in England and Wales. Environment and Planning A 47[2]: 392–411. CrossRef.

   Rodríguez-Pose A, Ketterer TD (2012) Do local amenities affect the appeal of regions in Europe for migrants? Journal of Regional Science 52[4]: 535–561. CrossRef.

   Rodríguez-Pose A, Von Berlepsch V (2015) European migration, national origin and long-term economic development in the United States. Economic Geography 91[4]: 393–424. CrossRef.

   Roskruge M, Grimes A, McCann P, Poot J (2012) Social capital and regional social infrastructure investment: Evidence from New Zealand. International Regional Science Review 35[1]: 3–25. CrossRef.

   Sandberg NC (1974) Ethnic Identity and Assimilation: the Polish-American Community: Case Study of Metropolitan Los Angeles. Praeger, New York. CrossRef.

   Sato Y, Zenou Y (2015) How urbanization affect employment and social interactions. European Economic Review 75: 131–155. CrossRef.

   Scott AJ (2010) Jobs or amenities? Destination choices of migrant engineers in the USA. Papers in Regional Science 89[1]: 43–63. CrossRef.

   Sjaastad LA (1962) The costs and returns of human migration. The Journal of Political Economy 70[5]: 80–93. CrossRef.

   Soetevent AR, Kooreman P (2007) A discrete-choice model with social interactions: With an application to high school teen behavior. Journal of Applied Econometrics 22[3]: 599–624. CrossRef.

   Stohr T (2015) The returns to occupational foreign language use: Evidence from Germany. Labour Economics 32: 86–98. CrossRef.

   Suedekum J, Wolf K, Blien U (2014) Cultural diversity and local labour markets. Regional Studies 48[1]: 173–191. CrossRef.

   Tiebout C (1956) A pure theory of local expenditures. The Journal of Political Economy 64[5]: 416–424. CrossRef.

   Toomet O (2011) Learn English, not the local language! Ethnic Russians in the Baltic States. American Economic Review: Papers And Proceedings 101[3]: 526–531. CrossRef.

   Tselios V, McCann P, Van Dijk J (2016) Understanding the gap between reality and expectation: Local social engagement and ethnic concentration. Urban Studies 1: 1–21. CrossRef.

   Tselios V, Noback I, McCann P, Van Dijk J (2015) Local social engagement, satisfaction, and embeddedness in the Netherlands: Which effects matter and for whom? Environment and Planning A 47[5]: 1132–1154. CrossRef.

   Tselios V, Noback I, Van Dijk J, McCann P (2015) Integration of immigrants, bridging social capital, ethnicity, and locality. Journal of Regional Science 55[3]: 416–441. CrossRef.

   Tubadji A, Nijkamp P (2015) Cultural gravity effects among migrants: A comparative analysis of the EU15. Economic Geography 91[3]: 343–380. CrossRef.

   Van Dijk J, Folmer H (1986) The consequences of interregional labor migration for the regional labor market: Theory, methodology and Dutch experience. The Review of Economics and Statistics 68[1]: 74–83. CrossRef.

   Wahba J, Zenou Y (2005) Density, social networks and job search methods: Theory and application to Egypt. Journal of Development Economics 78[2]: 443–473. CrossRef.

   Wang Z (2016) A paradox of economic prosperity and social integration? Vrije Universiteit Amsterdam; Tinbergen Institute, available at SSRN: http://ssrn.com/abstract=2737601

   Wang Z, De Graaff T, Nijkamp P (2016) Cultural diversity and cultural distance as choice determinants of migration destination. Spatial Economic Analysis 11[2]: 176–200. CrossRef.

   Wang Z, De Graaff T, Nijkamp P (2017) Look who’s talking: On the heterogeneous returns to foreign language use at work among natives and migrants in Europe. GLO Discussion Paper (No. 104)

   White R, Tadesse B (2008) Cultural distance and the US immigrant-trade link. World Economy 31[8]: 1078–1096. CrossRef.

   Williams DR (2011) Multiple language usage and earnings in Western Europe. International Journal of Manpower 32: 372–393. CrossRef.

   Xu D (2017) Acculturational homophily. Economics of Education Review 59: 29–42. CrossRef.

   Zenou Y (2015) A dynamic model of weak and strong ties in the labor market. Journal of Labor Economics 33[4]: 891–932. CrossRef.

   Zorlu A, Hartog J (2005) The effect of immigration on wages in three European countries. Journal of Population Economics 18[1]: 113–151. CrossRef.

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