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Record W4388050999 · doi:10.1080/03057070.2023.2270645

Asymmetries of Power and Capacity: The Zambia Revenue Authority (ZRA) as an Instrument of Resource Nationalism, 1994–2021

2023· article· en· W4388050999 on OpenAlexaff
Alexander Caramento, Marja Hinfelaar, Caesar Cheelo

Bibliographic record

VenueJournal of Southern African Studies · 2023
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsYork University
Fundersnot available
KeywordsNationalismRevenuePower (physics)Resource (disambiguation)Political sciencePublic administrationEconomicsBusinessLawPoliticsAccountingComputer science

Abstract

fetched live from OpenAlex

Heightened copper prices and the perceived profiteering of foreign mining investors in the 2000s spurred calls for greater revenue from mineral extraction in Zambia. Following the abrogation of the over-concessionary development agreements (DAs) in 2008 and the concomitant formation of the Mining Taxation Unit in the Large Taxpayer Office, the Zambia Revenue Authority (ZRA) has essentially functioned as an instrument of those resource nationalist demands. Building on the professionalisation of the regulatory body under the Mwanawasa administration, the ZRA became a formidable force in the policing of Zambia’s mining fiscal regime. In comparison to the rest of the country’s bureaucracy then, the ZRA functioned as what some scholars have termed a ‘pocket of effectiveness’ (POE). From 2006 until 2014, under the aegis of a ‘technocratic coalition’ made up of officials at the ZRA and Ministry of Finance, sympathetic politicians, and foreign technical advisers, the revenue authority was able to bolster its capacity to administer mining taxation. It is essential that the ZRA is not merely examined as an administrative institution outside of the political realm. This article’s contribution is that it examines the political factors that shape the ZRA’s emergence, performance and sustainability over time in relation to mining taxation. It demonstrates how the nature of Zambia’s political settlement, the structural power of the foreign mining investors and the weaknesses of other government ministries have encumbered the effectiveness of the ZRA as an instrument of resource nationalism. The article is based on interviews with a wide range of actors, quantitative and qualitative data and unreleased sources.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.296

Codex and Gemma teacher scores by category

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

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 head0.031
GPT teacher head0.253
Teacher spread0.222 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2023
Admission routes1
Has abstractyes

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