公众对中东移民态度的决定因素:个人层面的分析

Deena Saleh, Hasan Vergil
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引用次数: 0

摘要

目的欧洲的调查显示,对相当多的人来说,移民与其说是机遇,不如说是挑战。然而,人们很少关注中东地区对移民的态度。本文探讨了个人价值观和宗教信仰对中东和北非国家公民反移民态度的影响。设计/方法/途径利用世界价值观调查(World Values Survey)的数据,我们分析了个人价值观和宗教信仰如何影响九个中东国家的反移民态度。数据涵盖世界价值观调查第 7 轮(2017-2022 年)中 9 个中东和北非国家的个人层面数据。采用因子分析作为数据还原方法。随后,对汇总数据进行 OLS 回归分析。研究结果反移民态度随着年龄、教育程度和宗教信仰的增加而增加。民族自豪感、对国民的支持以及对国家的归属感等个人价值观会对反移民态度产生重大影响。此外,作为宗教信仰的一种衡量标准,宗教的重要性与反移民态度呈正相关。 原创性/价值 本文通过研究人口统计指标、个人价值观和宗教因素等个人层面的决定因素是如何在中东和北非地区形成反移民态度的,这与欧洲的动态有所不同,从而为未充分探索的文献做出了贡献。
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What determines public attitudes toward immigration in the Middle East: an analysis at the individual level

Purpose

Surveys in Europe show that immigration is more of a challenge than an opportunity for a significant number of people. However, little attention is given to attitudes toward immigration in the Middle East. This paper examines the effects of personal values and religiosity on the anti-immigration attitudes of citizens in the Middle East and North African countries.

Design/methodology/approach

Utilizing data from the World Values Survey, we analyze how personal values and religiosity affect anti-immigration attitudes in nine Middle Eastern countries. The data covers individual-level data of 9 MENA countries from the WVS Round 7 (2017–2022). Factor analysis is applied as a data reduction method. Afterward, an OLS regression analysis is conducted on the pooled data.

Findings

Anti-immigration attitudes increase with age, education, and religiosity. Personal values such as national pride, support for nationals, and belongingness to one’s country significantly affect anti-immigration attitudes. Furthermore, the importance of religion as a measure of religiosity was found to be positively associated with anti-immigration attitudes.

Originality/value

This paper contributes to underexplored literature by investigating how individual-level determinants, such as demographic indicators, personal values, and religious factors, shape anti-immigration attitudes in the MENA context, distinct from European dynamics.

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来源期刊
CiteScore
5.80
自引率
3.70%
发文量
59
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