Māori businesses in Aotearoa New Zealand: Modelling Indigenous enterprise using self-identification and ownership

Author:

Cervantes-Loreto Alba1,Mika Jason Paul2

Affiliation:

1. Statistics New Zealand, Tatauranga Aotearoa, Christchurch, New Zealand

2. Te Raupapa Waikato Management School, University of Waikato, Hamilton, New Zealand

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.

Publisher

IOS Press

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Management Information Systems

Reference26 articles.

1. Measuring the ‘real’ Indigenous economy in remote Australia using NATSISS 2002;Altman;Australian Journal of Labour Economics.,2006

2. Duoba G, Molloy H, Mika JP. Measuring Indigenous economies: A Tatauranga umanga Māori perspective 2023. Symposium on the Indigenous Economy, Ottawa, Canada. 2021 November 29–30; Available from https//www.stats.govt.nz/research/measuring-:Indigenous-economies-a-tatauranga-umanga-maori-perspective/.

3. What counts as an Indigenous enterprise? Evidence from Aotearoa New Zealand.;Mika;Journal of Enterprising Communities: People and Places in the Global Economy.,2019

4. Tawhai V, Gray-Sharp K. Always speaking: The Treaty of Waitangi and public policy. Huia Publishers. 2011 Dec 1.

5. Indigenous business data and Indigenous data sovereignty: Challenges and opportunities;Mika;New York University Journal of Intellectual Property and Entertainment Law.,2023

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