...
首页> 外文期刊>Quality & Quantity: International Journal of Methodology >Corporate philanthropy and community involvement. Analysing companies from France, Germany, the Netherlands and Spain
【24h】

Corporate philanthropy and community involvement. Analysing companies from France, Germany, the Netherlands and Spain

机译:企业慈善事业和社区参与。分析来自法国,德国,荷兰和西班牙的公司

获取原文
获取原文并翻译 | 示例

摘要

This paper analyses the philanthropic behaviour of companies listed on four stock markets: the IBEX 35 (Spain), CAC-40 (France), DAX-30 (Germany) and AEX-25 (Netherlands). A bibliometric method was used to obtain keywords related to corporate philanthropy in literature, while a qualitative content analysis was undertaken to obtain specific philanthropy-related words from company annual reports. 19 groups of words (codes) were defined, indicating the terms used by companies to express corporate philanthropy and community involvement, the forms they use to express such involvement, and the formulas chosen to channel their aid. The word analysis also gave information about the stakeholders that companies take into account when they become involved in community issues. Different hypotheses were stated to determine whether the use of words was related to country, firm size (revenues and employees) or industry. The use of probit regression also allowed us to obtain combinations of these variables that explained the probability of using every term together but not separately. The results indicated that the variables which most affected philanthropic codes were country and revenues. Conversely, the variables which least influenced philanthropic codes were number of employees and industry.
机译:本文分析了在四个股票市场上上市的公司的慈善行为:IBEX 35(西班牙),CAC-40(法国),DAX-30(德国)和AEX-25(荷兰)。文献计量法用于获取文献中与公司慈善相关的关键字,而定性内容分析用于从公司年度报告中获取与慈善相关的特定词。定义了19组单词(代码),指示公司用于表达公司慈善和社区参与的术语,表达这种参与的形式以及选择用于提供援助的公式。分析一词还提供了有关公司参与社区问题时要考虑的利益相关者的信息。陈述了不同的假设,以确定单词的使用与国家,公司规模(收入和员工)或行业有关。概率回归的使用还使我们能够获得这些变量的组合,这些变量解释了一起使用每个术语而不是单独使用的可能性。结果表明,对慈善行为准则影响最大的变量是国家和收入。相反,对慈善守则影响最小的变量是雇员人数和行业。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号