{"title":"Māori businesses in Aotearoa New Zealand: Modelling Indigenous enterprise using self-identification and ownership","authors":"Loretoa Alba Cervantes, Mikab Jason Paul","doi":"10.3233/sji-230084","DOIUrl":null,"url":null,"abstract":"Identity and ownership are two conceptual pillars used to define Indigenous enterprise. Approaches that use administrative data offer the opportunity to identify Indigenous-owned enterprises without the burden of a survey. It remains unclear, however, if Indigenous-owned enterprises are also likely to self-identify as Indigenous. Thus, in this paper we examine if self-identification as an Indigenous business in Aotearoa New Zealand is driven by Māori ownership. We link information from businesses that had the opportunity to self-identify as Māori in an annual survey with administrative data from Stats NZ’s Integrated Data Infrastructure to calculate their proportion of Māori ownership. Then, we fit models of varying complexity using a Bayesian multilevel approach to predict the probability of self-identification as a Māori business as a function of businesses’ demographic variables and proportion of Indigenous ownership. Using model comparison and out-of-sample predictions we show that Māori ownership is a weak predictor of self-identification as a Māori business. We also show how the probability of self-identification as an Indigenous enterprise changes between regions, sectors, and industries to illustrate the benefits of a quantitative approach to target businesses likely to self-identify as Māori. Predicting the extent to which enterprise owners might choose to self-identify as a Māori business is critical to identifying a robust population of Indigenous businesses and to have better estimates of the Indigenous economy.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":"85 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Journal of the IAOS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/sji-230084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Identity and ownership are two conceptual pillars used to define Indigenous enterprise. Approaches that use administrative data offer the opportunity to identify Indigenous-owned enterprises without the burden of a survey. It remains unclear, however, if Indigenous-owned enterprises are also likely to self-identify as Indigenous. Thus, in this paper we examine if self-identification as an Indigenous business in Aotearoa New Zealand is driven by Māori ownership. We link information from businesses that had the opportunity to self-identify as Māori in an annual survey with administrative data from Stats NZ’s Integrated Data Infrastructure to calculate their proportion of Māori ownership. Then, we fit models of varying complexity using a Bayesian multilevel approach to predict the probability of self-identification as a Māori business as a function of businesses’ demographic variables and proportion of Indigenous ownership. Using model comparison and out-of-sample predictions we show that Māori ownership is a weak predictor of self-identification as a Māori business. We also show how the probability of self-identification as an Indigenous enterprise changes between regions, sectors, and industries to illustrate the benefits of a quantitative approach to target businesses likely to self-identify as Māori. Predicting the extent to which enterprise owners might choose to self-identify as a Māori business is critical to identifying a robust population of Indigenous businesses and to have better estimates of the Indigenous economy.
身份和所有权是用来界定土著企业的两个概念支柱。使用行政数据的方法为确定土著企业提供了机会,而无需进行调查。然而,土著所有企业是否也有可能自我认定为土著企业,这一点仍不清楚。因此,在本文中,我们研究了在新西兰奥特亚罗瓦,毛利人所有制是否会推动土著企业的自我认同。我们将有机会在年度调查中自我认定为毛利人的企业信息与新西兰统计局综合数据基础设施(Stats NZ's Integrated Data Infrastructure)中的行政数据联系起来,计算出毛利人所有权的比例。然后,我们使用贝叶斯多层次方法拟合了不同复杂程度的模型,以预测自我认定为毛利企业的概率与企业的人口统计学变量和土著所有权比例之间的函数关系。通过模型比较和样本外预测,我们发现毛利人所有权对自我认定为毛利企业的预测作用较弱。我们还展示了不同地区、部门和行业之间自我认定为土著企业的概率是如何变化的,以说明采用定量方法来锁定可能自我认定为毛利人的企业的益处。预测企业主可能选择自我认定为毛利企业的程度,对于确定土著企业的强大人口数量和更好地估计土著经济至关重要。
期刊介绍:
This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.