Conditions, Possibilities, and Limitations for Macroeconomic Degrowth Policies in Peripheral Countries: An Introduction
Bibliographic record
Abstract
This article serves as an introduction to the theme of economic degrowth in peripheral economies and critically evaluates the feasibility of implementing degrowth policies in these contexts, aiming to address the existing gap in the degrowth economic literature. While previous research has primarily focused on central countries, this study highlights the lack of theoretical foundations that account for the unique characteristics of peripheral countries, including their inequalities, external constraints, low-income levels, and socio-structural conditions. We provide an overview of the degrowth economic concept, emphasizing its key principles. Then we examine the specific challenges faced by peripheral countries, including high poverty rates and underdeveloped productive structures. Furthermore, the article explores the distinct macroeconomic conditions, economic dependencies, and structural limitations of these countries. The last section mainly discusses the conditions and limitations that peripheral economies may encounter when implementing macroeconomic policies for degrowth. It highlights the management of interest rates and potential inflationary consequences, as well as the industrial investments required for a productive transition to a degrowth economy.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".