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Record W1409821377

Environmental water transactions under regulatory capitalism: The role of law

2015· dissertation· en· W1409821377 on OpenAlexaboutno aff
Katherine Anne Owens

Bibliographic record

VenueUPT. Syiah Kuala University Library (Syiah Kuala University) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicProperty Rights and Legal Doctrine
Canadian institutionsnot available
Fundersnot available
KeywordsCapitalismEnvironmental lawPolitical scienceLawBusinessLaw and economicsEconomics
DOInot available

Abstract

fetched live from OpenAlex

Since the late 20th century, governments have promoted the acquisition of water rights in order to recover water for the environment. The use of water transfer mechanisms for this purpose devolves important water use decisions to individual water users, and enables governments to achieve wider public goals in relation to the management of water scarcity without resorting to bureaucratic reallocation. However, governments retain an important oversight and coordination role within these regimes, and the result has been dense systems of regulation, involving legal interactions between a range of institutions and actors. 
\nThe Thesis will undertake a comparative analysis of the regimes supporting environmental water transactions in the Murray-Darling Basin/New South Wales, the Canadian province of Alberta, and the states of Colorado and Oregon in the western United States, in order to understand the regulatory strategies behind the regimes, and ultimately to determine the most appropriate role of law in relation to environmental water transactions. In order to do so, the Thesis adopts a broader perspective of regulatory change under the theory of regulatory capitalism. Water allocation and trading frameworks supporting environmental water transactions, or ‘market-orientated environmental water allocation frameworks’ (MEWA frameworks’), do not adopt a uniform legal model, but rather a variety of complex regulatory techniques, with multiple government and regulatory bodies as well as hybrid legal instruments to steer the operation of the market. Regulatory capitalism is well suited for describing and analysing the evolution and legal design of these market-based regimes, as key elements of the theory correspond with key decision centres in the creation of legal frameworks to facilitate the ecologically sustainable development of water resources. In particular, key characteristics of regulatory capitalism relate to matters such as the division of labour between state and society and within the state itself, the codification of relationships within regulatory regimes and the development of hybrid forms of regulation to create diverse and multi-faceted regulatory regimes. Decisions taken on those matters are fundamental to whether market-based regimes are able to restore water-stressed riverine environments. The analysis includes an examination of the legal and regulatory regimes as written and the regimes in action, supported by interviews with experts and persons representative of the spectrum of actors under each regime. 
\nRegulatory capitalism is a powerful tool for analysing the legal and regulatory orderings that characterise these frameworks. However, the analysis takes the theory one step further, in the context of environmental water transactions, by examining normative questions of effectiveness and develops a theory as to the appropriate role of law in supporting environmental water transactions. The conclusion of the Thesis is that legal frameworks do not have the capacity to rationalise and provide an overarching and “final” solution to the complex environmental and governance issues that arise in the context of environmental water transactions. Rather, the role of law in this context needs to be reconceptualised within the paradigm of regulatory capitalism as establishing and maintaining the limits within which regulatory participants can operate, innovate and collaborate.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0000.003
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.184
Teacher spread0.175 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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