Overseas investment through legal, policy and comparative law lenses: An examination of New Zealand’s approach to protecting sensitive land and the interests of future generations including comparisons with Canada and Kuwait
Bibliographic record
Abstract
The current entity is the Overseas Investment Office (OIO), which is a regulatory unit within Land Information New Zealand (a government department). The OIO is engaged with “realising the benefits of overseas investment, while protecting New Zealand’s sensitive land and assets”, which is a difficult balancing act. The Act states that it is a privilege for overseas persons to own or control sensitive New Zealand assets. New Zealand is a great place to “do business” – currently it’s ranked the best in the world. It’s also a great place in which to invest and New Zealand encourages overseas investment so long as there is a “benefit to New Zealand”. That means, any overseas person wishing to buy sensitive land or business assets must demonstrate that their investment will, or is likely to, benefit New Zealand (or any part of it, or a group of New Zealanders). If the land is over five hectares, then the benefits must be substantial and identifiable. Decision-makers take into account 21 economic, environmental and cultural factors when deciding if the overseas investor passes that test. This test is “unique among global investment screening regimes. Its closest comparator is Canada’s ‘net benefit’ test, but that focuses on economic factors”. This paper will proceed on the assumption that-in accordance with the principles and purposes of comparative law-every legal system has something to learn from every other system; knowing how other legal systems have tackled an issue can inform national lawmaking since virtually all legal systems face the same problems.9 For international scholars with an interest in overseas investment law, the paper will provide an overview of New Zealand’s unique approach. The paper will discuss what is meant by “benefit to New Zealand”, a crucial test that any potential “overseas person” must satisfy.10 The paper will also discuss the recent changes to the meaning of “sensitive land” which now includes all residential land, significant business assets and fishing quota. In a nutshell, overseas persons (or associates of overseas persons) now need prior consent from the OIO before they can purchase sensitive land or business assets. The paper will explain key legislative provisions and some recent court decisions11 one of which resulted in an order for an overseas person to divest itself of its entire interest in two properties for failure to obtain consent before purchasing, in addition to a substantial civil penalty.12 Interestingly, getting prior legal advice provides no protection from the OIO’s powers. The overall purpose of this paper is to explain how one jurisdiction (New Zealand) is managing overseas investment and how it seeks to achieve a balance between the benefits and risks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.012 | 0.035 |
| Scholarly communication | 0.020 | 0.013 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".