five

Descriptive statistics.

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NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://figshare.com/articles/dataset/Descriptive_statistics_/24443796
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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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2023-10-26
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