The Political Economy of Employment Regulation in Small Developing Countries
Bibliographic record
Abstract
It is generally accepted that employment regulation offers mechanisms to generate orderly economic growth as well as provide for the protection of workers. Both these efficiency and equity arguments particularly pertain to developing country contexts. The evolution and impact of employment law and industrial relations institutions in large developing countries is of growing interest to western scholars, but small developing countries have been ignored. This lack of research inhibits understanding of the political economy of employment regulation in developing country contexts. This article explores developments in labour regulation in three small developing countries in the South Pacific—Nauru, Tonga, and Papua New Guinea—that have been impacted by globalization and international labour regulation in different ways. The comparative research adopts a stakeholder analysis approach based on programs of qualitative interviews and documentary analysis. The paper identifies a number of structural and agency constraints on the development and effective implementation of employment regulatory systems that primarily reflect political factors. These include disorganized employment relations, under-developed civil society institutions, concentration of power networks, the under-resourcing and compartmentalization of state institutions and a broader context of political change and instability. These factors, which are related to country size as well as stage of development, subvert the introduction, implementation and review of employment regulation even where efficiency and equity arguments may be accepted by policymakers. The article concludes with a discussion of the implications and need for future research.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".