2020
DOI: 10.1002/casp.2476
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Community identity as a mediator of the relationship between socioeconomic status and altruistic behaviour in Chinese residents

Abstract: Socioeconomic status is related to altruistic behaviour, but the link between them remains controversial. The present study explored the link between socioeconomic status and altruistic behaviour, as well as the psychological mechanism between them. We recruited 1,052 residents from 34 provinces in China to investigate the relationship between socioeconomic status and altruistic behaviour and the mediating mechanism. Results showed that objective socioeconomic status was positively related to altruistic behavi… Show more

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Cited by 12 publications
(22 citation statements)
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References 60 publications
(91 reference statements)
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“…Among them, objective socioeconomic status was measured by education level, occupation, and monthly income. With reference to previous studies [ 34 , 45 ], education level was divided into six categories: “primary school and below”, “junior middle school”, “senior high school”, “associate degree”, “college graduate”, and “master and above”, which were assigned a score of 1–6, respectively. Occupation (reverse scoring) was divided into state and social managers, managers, private entrepreneurs, professional and technical personnel, office workers, individual industrial and commercial households, business and service employees, industrial workers, agricultural laborers, urban and rural unemployed, and semi-unemployed, which was based on cultural resources, economic resources, and organizational resources [ 46 , 47 ].…”
Section: Methodsmentioning
confidence: 99%
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“…Among them, objective socioeconomic status was measured by education level, occupation, and monthly income. With reference to previous studies [ 34 , 45 ], education level was divided into six categories: “primary school and below”, “junior middle school”, “senior high school”, “associate degree”, “college graduate”, and “master and above”, which were assigned a score of 1–6, respectively. Occupation (reverse scoring) was divided into state and social managers, managers, private entrepreneurs, professional and technical personnel, office workers, individual industrial and commercial households, business and service employees, industrial workers, agricultural laborers, urban and rural unemployed, and semi-unemployed, which was based on cultural resources, economic resources, and organizational resources [ 46 , 47 ].…”
Section: Methodsmentioning
confidence: 99%
“…Monthly income was divided into ten levels, including “less than 1000 yuan”, “1001–3000 yuan”, “3001–5000 yuan”, “5001–7000 yuan”, “7001–10,000 yuan”, “10,001–15,000 yuan”, “15,001–30,000 yuan”, “30,001–50,000 yuan”, “50,001–100,000 yuan”, and “more than 100,001 yuan” [ 48 ]. Referring to the existing studies [ 34 , 49 ], the three indicators were standardized, and a principal component analysis was carried out to generate an eigenvalue greater than 1, which explained 60.99% of the variance. We obtained a comprehensive formula for calculating objective socioeconomic status: objective socioeconomic status = (0.797 × Z education + 0.760 × Z monthly income + 0.785 × Z occupation )/1.830.…”
Section: Methodsmentioning
confidence: 99%
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