Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 272

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.

Manufacturing Firms in Developing Countries: How Well Do They Do, and Why?

Tybout, James·1998·Policy Research Working Papers

Abstract

The manufacturing sectors of less developed countries (LDCs) have traditionally been relatively protected. They have also been subject to heavy regulation, much of which is biased in favor of large enterprises. Accordingly, it is often argued that manufacturers in these countries perform poorly in several respects: (1) markets tolerate inefficient firms, so cross-firm productivity dispersion is high; (2) small groups of entrenched oligopolists exploit monopoly power in product markets; and (3) many small firms are unable or un-willing to grow, so important scale economies go unexploited. In this paper I assess each of these conjectures, drawing on plant and firm-level studies of LDC manufacturers. I find none to be systematically supported. Turnover is substantial, unexploited scale economies are modest, and convincing demonstrations of monopoly rents are generally lacking. Nonetheless I find some evidence that protection increases firms' price-cost margins and reduces average efficiency levels at the margin. Finally, al-though the econometric evidence on technology diffusion in LDCs is limited, it does sug-gest that protecting "learning" industries is unlikely to foster productivity growth. All of this suggests that the general trend toward trade liberalization has yielded larger benefits that the traditional gains from trade.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1596/1813-9450-1965

Cites

76 of 76 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 76 references

Cited by

See all 272

Metadata

Authors
Tybout, J.
Venue
Policy Research Working Papers
Published
1998-08
ISSN
1813-9450 (ISSN-L)
OpenAlex
W1842451827
Cited by
272
References
76
Type
report
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Manufacturing Firms in Developing Countries: How Well Do They Do, and Why? https://app.cochat.ai/papers/10.1596/1813-9450-1965
The paper
Tybout, J. (1998). Manufacturing Firms in Developing Countries: How Well Do They Do, and Why? Policy Research Working Papers. https://doi.org/10.1596/1813-9450-1965

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.