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Can Attitudes Toward Immigrant Explain Social Integration in Europe? EU versus Non-EU Migrant

Author

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  • Amjad Naveed

    (Aarhus University)

  • Cong Wang

    (Department of Economics, Macquarie University)

Abstract

This study examines the relationship between attitudes toward migrants and social integration. Specifically, we consider two types of migration flow: migration flow from EU countries and migration flow from non-EU countries. The aims of this paper are twofold: (1) we want to understand whether an inclusive attitude towards migrants can contribute to their efforts to integrate with the receiving society (2) we want to understand whether the potential impact is the same across different migrant groups (EU vs. non-EU). Using data from 33 mainly European countries over the period 2003–2016 and controlling for common integration determinants such as inflation, foreign direct investment and educational attainment, our results indicate that there is a significant positive relationship between inclusive and good attitude toward migrants and social integration. We also in the robustness sections, identify that the size of this impact differs across different subcomponents of attitudes and integration, these results are robust to alternative estimation techniques that take cares of endogeneity (System GMM, 2SLS, and Lewbel 2SLS).

Suggested Citation

  • Amjad Naveed & Cong Wang, 2021. "Can Attitudes Toward Immigrant Explain Social Integration in Europe? EU versus Non-EU Migrant," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 345-383, January.
    • Handle: RePEc:spr:soinre:v:153:y:2021:i:1:d:10.1007_s11205-020-02492-8
    DOI: 10.1007/s11205-020-02492-8
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    Citations

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    Cited by:

    1. Jing Zou & Xiaojun Deng, 2022. "Spatial Differentiation and Driving Forces of Migrants’ Socio-Economic Integration in Urban China: Evidence from CMDS," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(3), pages 1035-1056, February.
    2. Naveed, Amjad & Wang, Cong, 2023. "Innovation and labour productivity growth moderated by structural change: Analysis in a global perspective," Technovation, Elsevier, vol. 119(C).
    3. Xuanyu Liu & Zehong Wang & Yungang Liu & Zhigang Zhu & Jincan Hu & Gao Yang & Yuqu Wang, 2023. "How Destination City and Source Landholding Factors Influence Migrant Socio-Economic Integration in the Pearl River Delta Metropolitan Region," Land, MDPI, vol. 12(5), pages 1-19, May.
    4. Chiara Zisler & Damiano Pregaldini & Uschi Backes-Gellner, 2023. "Opening doors for immigrants: The importance of occupational and workplace-based cultural skills for successful labor market entry," Economics of Education Working Paper Series 0204, University of Zurich, Department of Business Administration (IBW).
    5. Jian Feng & Huali Hou, 2023. "Review of Research on Urban Social Space and Sustainable Development," Sustainability, MDPI, vol. 15(22), pages 1-26, November.
    6. Zou, Jing & Deng, Xiaojun, 2022. "To inhibit or to promote: How does the digital economy affect urban migrant integration in China?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    7. Yalda Hashemi Ghoochani & Hashem Dadashpoor, 2023. "Socio-Spatial Cohesion: A Study of Structural, Interactive, and Subjective Dimensions in Mashhad Metropolitan Region, Iran," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(3), pages 843-866, February.
    8. Zou, Jing & Deng, Xiaojun, 2022. "Housing tenure choice and socio-economic integration of migrants in rising cities of China," China Economic Review, Elsevier, vol. 74(C).

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    More about this item

    Keywords

    Migration flow; Social integration; Attitude towards migrants; European Union;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O49 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other

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