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Record W2338876969 · doi:10.14288/1.0103612

Corporate legal aspects of impact investments in British Columbia

2014· article· en· W2338876969 on OpenAlexaboutno aff
Michael Mosimann

Bibliographic record

VenuecIRcle (University of British Columbia) · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessEconomicsAccounting

Abstract

fetched live from OpenAlex

The historically grown distinction between for-profit corporations and non-profit organizations has caused a demand for new hybrid corporate forms that allow for the combination of the pursuit of a social or ecological goal and the generation of profits at the same time. These hybrid corporate forms are intended, among others, to attract social responsible investments in general and particularly impact investments, with which an investor aims to solve a social or ecological problem while making a profit. British Columbia has led the path in Canada by implementing the community contribution company (or C3 or CCC). This thesis argues that from a pure corporate legal point of view, a CCC may provide the highest and most enduring social impact, but depending on the interests of the investor, another corporate form might be more suitable for impact investments in British Columbia. After some general remarks on impact investing and the consideration of stakeholders’ interests by directors, the thesis first will provide a detailed analysis of the corporate legal features of the CCC. The discussion will show that most provisions governing the CCC intend to achieve two things, i.e., first that the CCC is managed in accordance with its community purpose and second, in particular through restrictions on dividends and asset transfers (asset lock provisions), to protect it from being stripped of its assets. The comparison with other corporate forms following the outline of the CCC’s features intends to draw a conclusion with regard to the suitability for impact investments. While some of the restrictions applicable to a CCC as well as the requirement to produce a community contribution report could be desirable from an impact investor’s point of view, others might be less advantageous or even disadvantageous. Before concluding the thesis with a summary of the findings as well as some thoughts about further research in this area, potential amendments to the CCC framework in order to increase its suitability for impact investments will be discussed. In addition, some high level thoughts on further incentives for social financing will be provided.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.022
GPT teacher head0.182
Teacher spread0.160 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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