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How do industry and province attributes impact corporate contribution to poverty alleviation: A multilevel analysis

This study employs a multilevel model, nesting firm observations within industry and province groups, to investigate the influences on corporate contributions to poverty alleviation while considering the industrial and provincial contexts. Using a sample of Chinese firms listed in Shanghai and Shenz...

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Detalles Bibliográficos
Autores principales: Chen, Shuhan, Yang, Guangqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602313/
https://www.ncbi.nlm.nih.gov/pubmed/37883369
http://dx.doi.org/10.1371/journal.pone.0293505
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author Chen, Shuhan
Yang, Guangqing
author_facet Chen, Shuhan
Yang, Guangqing
author_sort Chen, Shuhan
collection PubMed
description This study employs a multilevel model, nesting firm observations within industry and province groups, to investigate the influences on corporate contributions to poverty alleviation while considering the industrial and provincial contexts. Using a sample of Chinese firms listed in Shanghai and Shenzhen Stock Exchanges between 2016 and 2019, we find that Herfindah-Hirschman Index (HHI) does not affect corporate contribution. The results show a significantly negative relationship between industry dynamism and a firm’s substantial poverty contributions, as well as a significantly positive relationship between number of state-owned enterprises (SOEs) in industry and the likelihood and extent of a firm’s contributions. Moreover, a firm’s likelihood to participate in anti-poverty activities and make substantial contributions is affected by more intense government intervention and lower per capita GDP. A province’s poverty rate is positively associated with the extent of corporate investments in poverty alleviation. Additional analyses note that firms competitive in an industry that is less dynamic environment are more likely to invest funds into poverty alleviation instead of material contribution. Moreover, for firms headquartered in an industry with more SOEs and in provinces with a stronger government, a higher poverty rate and lower per capita GDP mean it is more likely for them to make both monetary and material contributions for anti-poverty campaigns.
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spelling pubmed-106023132023-10-27 How do industry and province attributes impact corporate contribution to poverty alleviation: A multilevel analysis Chen, Shuhan Yang, Guangqing PLoS One Research Article This study employs a multilevel model, nesting firm observations within industry and province groups, to investigate the influences on corporate contributions to poverty alleviation while considering the industrial and provincial contexts. Using a sample of Chinese firms listed in Shanghai and Shenzhen Stock Exchanges between 2016 and 2019, we find that Herfindah-Hirschman Index (HHI) does not affect corporate contribution. The results show a significantly negative relationship between industry dynamism and a firm’s substantial poverty contributions, as well as a significantly positive relationship between number of state-owned enterprises (SOEs) in industry and the likelihood and extent of a firm’s contributions. Moreover, a firm’s likelihood to participate in anti-poverty activities and make substantial contributions is affected by more intense government intervention and lower per capita GDP. A province’s poverty rate is positively associated with the extent of corporate investments in poverty alleviation. Additional analyses note that firms competitive in an industry that is less dynamic environment are more likely to invest funds into poverty alleviation instead of material contribution. Moreover, for firms headquartered in an industry with more SOEs and in provinces with a stronger government, a higher poverty rate and lower per capita GDP mean it is more likely for them to make both monetary and material contributions for anti-poverty campaigns. Public Library of Science 2023-10-26 /pmc/articles/PMC10602313/ /pubmed/37883369 http://dx.doi.org/10.1371/journal.pone.0293505 Text en © 2023 Chen, Yang https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Shuhan
Yang, Guangqing
How do industry and province attributes impact corporate contribution to poverty alleviation: A multilevel analysis
title How do industry and province attributes impact corporate contribution to poverty alleviation: A multilevel analysis
title_full How do industry and province attributes impact corporate contribution to poverty alleviation: A multilevel analysis
title_fullStr How do industry and province attributes impact corporate contribution to poverty alleviation: A multilevel analysis
title_full_unstemmed How do industry and province attributes impact corporate contribution to poverty alleviation: A multilevel analysis
title_short How do industry and province attributes impact corporate contribution to poverty alleviation: A multilevel analysis
title_sort how do industry and province attributes impact corporate contribution to poverty alleviation: a multilevel analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602313/
https://www.ncbi.nlm.nih.gov/pubmed/37883369
http://dx.doi.org/10.1371/journal.pone.0293505
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