{"title":"Can political connections promote corporate social responsibility? Evidence from targeted poverty alleviation programs","authors":"Chen Weng , Jie Chen","doi":"10.1016/j.irfa.2025.104264","DOIUrl":null,"url":null,"abstract":"<div><div>Using sample data of A-share listed companies in the Shanghai and Shenzhen Stock Exchanges from 2016 to 2020, this study empirically explores the impact of political connections on corporate fulfilment of social responsibility for targeted poverty alleviation based on the panel regression model. The results showed that political connections can effectively encourage enterprises to fulfil social responsibility for targeted poverty alleviation. We conducted multiple robustness tests using propensity score matching and instrumental variable methods to address the sample selection bias and endogeneity, changing the explained and explanatory variables, and adding regional control variables. The mechanism test showed that political connections encourage enterprises to fulfil their social responsibility for targeted poverty alleviation mainly by easing financing constraints and increasing government subsidies obtained by enterprises. Heterogeneity analysis showed that political connections significantly impact non-state-owned enterprises, firms with a shorter history, and higher managerial ownership. Therefore, the government should reasonably guide enterprises to fulfil their social responsibilities and actively serve the national rural revitalisation strategy by setting an example for entrepreneurs who contribute to poverty alleviation, reduce resource allocation intervention, optimise the business environment of enterprises, and appropriately provide resources to enterprises that actively participate in targeted poverty alleviation.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"104 ","pages":"Article 104264"},"PeriodicalIF":7.5000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521925003515","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
Using sample data of A-share listed companies in the Shanghai and Shenzhen Stock Exchanges from 2016 to 2020, this study empirically explores the impact of political connections on corporate fulfilment of social responsibility for targeted poverty alleviation based on the panel regression model. The results showed that political connections can effectively encourage enterprises to fulfil social responsibility for targeted poverty alleviation. We conducted multiple robustness tests using propensity score matching and instrumental variable methods to address the sample selection bias and endogeneity, changing the explained and explanatory variables, and adding regional control variables. The mechanism test showed that political connections encourage enterprises to fulfil their social responsibility for targeted poverty alleviation mainly by easing financing constraints and increasing government subsidies obtained by enterprises. Heterogeneity analysis showed that political connections significantly impact non-state-owned enterprises, firms with a shorter history, and higher managerial ownership. Therefore, the government should reasonably guide enterprises to fulfil their social responsibilities and actively serve the national rural revitalisation strategy by setting an example for entrepreneurs who contribute to poverty alleviation, reduce resource allocation intervention, optimise the business environment of enterprises, and appropriately provide resources to enterprises that actively participate in targeted poverty alleviation.
期刊介绍:
The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.