A systematic review and meta-analysis of the relationship between economic inequality and prosocial behaviour

Yang, Yongzheng; Konrath, Sara

doi:10.1038/s41562-023-01681-y

Cited by 15 publications

(24 citation statements)

References 195 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In a meta-analysis study, Yang and Konrath (2023) found a slight negative relationship between economic inequality and pro-social behavior (actions that benefit others, including giving). The social disintegration hypothesis is a commonly cited mediator for this behavior (Yang & Konrath, 2023).…”

Section: Discussionmentioning

confidence: 99%

“…Brazil is a middle-income country with significant income inequality and poverty (Alvaredo, 2018), making it a unique setting to test the existing findings on philanthropy and its predictors, which have mainly come from developed Western countries (Baillie Smith et al, 2018;Çarko glu et al, 2017;Heist et al, 2022;Neumayr & Pennerstorfer, 2021;Yang & Konrath, 2023) Brazil is primarily a Catholic country, but it has witnessed a growing population of Evangelicals and individuals identifying as non-religious (IBGE, 2010). Additionally, Brazil is experiencing an aging demographic, with over 56% of its population aged 30 or older and 51% of women (IBGE, 2021).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Income and money donation in middle‐income countries: Evidence from Brazil

de Jancso Fabiani,

de Lucca Silveira,

Pinheiro

2024

Journal of Philanthropy and Marketing

View full text Add to dashboard Cite

Income plays a crucial role in shaping pro‐social behavior, particularly in the context of charitable giving. However, existing literature reveals mixed findings when dealing with the nuances in this relationship. This study aims to evaluate the main hypotheses concerning the influence of income on charitable giving, drawing on data from a 2021 national survey with 2099 respondents in Brazil. This study contributes with new evidence to the topic within the context of a middle‐income Latin American country, an aspect often overlooked in previous studies. Our analysis focuses on how an individual's household income influences three key aspects: the likelihood of giving, the amount given, and the proportion of household income donated. The findings indicate that individuals from higher‐income households donate larger sums of money but the same proportion of income as other income households. Household income does not significantly affect the likelihood of donating or the proportion of income donated.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Income and money donation in middle‐income countries: Evidence from Brazil

de Jancso Fabiani,

de Lucca Silveira,

Pinheiro

2024

Journal of Philanthropy and Marketing

View full text Add to dashboard Cite

show abstract

“…A relationship between reciprocity and social decision making has also been reported [1-3]. The subjective sense of reciprocity, which was embodied as reward prediction error, has been extensively studied for its contribution to associative learning [40-44].…”

Section: Discussionmentioning

confidence: 99%

“…We think that modifying the task to have more physiologically arousing inputs should be considered in future studies. Fourth, our main questions were not concerned with economic or organisational behavioural properties such as profit maximisation, communication, and conflict resolution[1-5]. Investigation into these aspects could provide more insights into human behaviours.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Emotion Dynamics in Reciprocity: Deciphering the Role of Prosocial Emotions in Social Decision-making

Kim,

Bong,

Yoon

et al. 2023

Preprint

View full text Add to dashboard Cite

To date, the relevance of prosocial emotions in social decisions based on reciprocity remains poorly understood. Expected and experienced emotions in interoceptive-social dimension, expected offers, and actual acceptance were measured in 476 participants during an ultimatum game consisting of fair, moderate, and unfair offers. We investigated whether participants adjust social decisions according to prediction errors on prosocial emotions and reciprocity. Participants’ acceptance trajectories were explained by prediction errors in dominance, valence, and reward. Participants were categorized into 4 distinct subgroups based on their patterns of reward expectation, acceptance, and emotional experiences before and after the offer. Furthermore, the relationships between prosocial emotions, social decisions, and reciprocity varied across these subgroups. This study’s measurement and analysis of multidimensional trajectories across four affect dimensions reveal that social decisions are influenced by the responder’s perception of partner’s reciprocity, as well as by the subsequent prediction error of basic and prosocial emotion.

show abstract

The effect of landscape composition, complexity, and heterogeneity on bird richness: a systematic review and meta-analysis on a global scale

Lu,

Jia,

Wang

2024

Landsc Ecol

View full text Add to dashboard Cite

Context Birds, as indicators of biodiversity, are experiencing habitat reduction and loss due to landscape changes. Evidence is mounting that the response of bird richness to landscape patterns remains controversial on a global scale. In this study, we conducted a quantitative global synthesis to gain a comprehensive understanding of this relationship. Our findings contribute to the development of bird conservation strategies that align with the objectives of SDG15. Objective Through a quantitative review, this study investigated the effects of landscape patterns on bird richness and analyzed the sources of heterogeneity in the results. Methods A random-effects model was utilized to merge the impacts of landscape metrics on bird richness, and a meta-regression analysis was performed to investigate the origins of heterogeneity. Results The review encompassed 101 articles from 51 countries worldwide. Field sampling emerged as the primary method for acquiring bird data, with multiple linear regression and generalized linear models as the main analytical approaches. The meta-analysis results highlighted landscape area as a crucial factor influencing bird richness. Regarding landscape composition, the proportions of forests, shrublands, and water bodies positively impacted bird richness, while agricultural land and urban land had negative effects. The relationship between landscape complexity and bird richness is influenced by factors, including net primary productivity (NPP) and precipitation. Landscape heterogeneity was identified as a contributing factor to increased species richness. Conclusion Compared to landscape complexity, indicators of landscape composition and heterogeneity are more suitable as reference tools for bird conservation. The results of landscape complexity exhibit variation. Moreover, our findings underscore the crucial role of preserving forested areas in supporting bird diversity, emphasizing the necessity to account for regional variations when establishing forest cover thresholds.

show abstract

A systematic review and meta-analysis of the relationship between economic inequality and prosocial behaviour

Cited by 15 publications

References 195 publications

Income and money donation in middle‐income countries: Evidence from Brazil

Income and money donation in middle‐income countries: Evidence from Brazil

Emotion Dynamics in Reciprocity: Deciphering the Role of Prosocial Emotions in Social Decision-making

The effect of landscape composition, complexity, and heterogeneity on bird richness: a systematic review and meta-analysis on a global scale

Contact Info

Product

Resources

About