社会企业的地域分析:爱尔兰案例

IF 2.8 Q2 BUSINESS Social Enterprise Journal Pub Date : 2024-04-29 DOI:10.1108/sej-09-2023-0105
Lucas Olmedo, Mary O. Shaughnessy, Paul Holloway
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引用次数: 0

摘要

目的本研究旨在对爱尔兰农村和城市地区社会企业的分布和活动类型进行地理分析。研究结果该研究显示了爱尔兰社会企业分布的城乡地理格局,一个地区的偏远程度与社会企业的比例呈正相关,而与社会企业密度相关的资本-城市效应缺失。分析还显示,就社会企业开展的活动类型而言,在统计上存在显著的城乡地理格局。作者观察到,偏远地区与在社区和地方发展部门经营的社会企业之间存在正相关,而对于发展福利服务的社会企业来说,这种相关性并不显著。研究局限/启示本文显示了利用最近开发的城乡类型学和地理信息系统等工具开展社会企业地理研究的潜力。原创性/价值将社会企业的全国性大数据集与次区域层面的地理工具和数据相结合,有助于社会企业领域方法论的进步,为对这些组织进行细致入微的空间敏感分析提供了工具和框架。
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A geographical analysis of social enterprises: the case of Ireland

Purpose

This study aims to conduct a geographical analysis of the distribution and type of activities developed by social enterprises in rural and urban areas of Ireland.

Design/methodology/approach

The study analyses data of more than 4,000 social enterprises against a six-tier rural/urban typology, using descriptive statistics and non-parametric tests to test six hypotheses.

Findings

The study shows a geographical rural–urban pattern in the distribution of social enterprises in Ireland, with a positive association between the remoteness of an area and the ratio of social enterprises, and a lack of capital-city effect related to the density of social enterprises. The analysis also shows a statistically significant geographical rural–urban pattern for the types of activities developed by social enterprises. The authors observe a positive association between the remoteness of the areas and the presence of social enterprises operating in the community and local development sector whereas the association is not significant for social enterprises developing welfare services.

Research limitations/implications

The paper shows the potential of using recently developed rural–urban typologies and tools such as geographical information systems for conducting geographical research on social enterprises. The findings also have implications for informing spatially sensitive policymaking on social enterprises.

Originality/value

The merging of a large national data set of social enterprises with geographical tools and data at subregional level contributes to the methodological advancement of the field of social enterprises, providing tools and frameworks for a nuanced and spatially sensitive analysis of these organisations.

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来源期刊
CiteScore
4.30
自引率
14.30%
发文量
14
期刊最新文献
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