Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 648

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

What Affects Innovation More: Policy or Policy Uncertainty?

Open access
Bhattacharya, Utpal, Hsu, Po-Hsuan, Tian, Xuan, Xu, Yan·2017·Journal of Financial and Quantitative Analysis
DOI 10.1017/s0022109017000540
Open this paper in CoChat — free account

Abstract

Motivated by a theoretical model, we examine for 43 countries whether it is policy or policy uncertainty that affects technological innovation more. Innovation activities, measured by patent-based proxies, are not, on average, affected by which policy is in place. Innovation activities, however, drop significantly during times of policy uncertainty measured by national elections. The drop is greater for more influential innovations (citations in the right tail, exploratory rather than exploitative innovations) and for innovation-intensive industries. We use close presidential elections and ethnic fractionalization to address endogeneity concerns. We uncover the mechanism underlying the main result by showing that the number of patenting inventors decreases with policy uncertainty. Political compromise, we conclude, encourages innovation.

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 · 10.1017/s0022109017000540

Cites

90 of 90 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 90 references

Cited by

See all 648

Metadata

Authors
Bhattacharya, U., Hsu, P.-H., Tian, X., & Xu, Y.
Venue
Journal of Financial and Quantitative Analysis
Publisher
Cambridge University Press (CUP)
Published
2017-08-29
Volume
52
Issue
5
Pages
1869-1901
ISSN
  • 0022-1090 (ISSN-L)
  • 1756-6916
DOI
10.1017/s0022109017000540
OpenAlex
W2751571801
Cited by
648
References
90
FWCI
41.99
Type
journal article
Language
en
Open access
green

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: What Affects Innovation More: Policy or Policy Uncertainty? https://app.cochat.ai/papers/10.1017/s0022109017000540
The paper
Bhattacharya, U., Hsu, P.-H., Tian, X., & Xu, Y. (2017). What Affects Innovation More: Policy or Policy Uncertainty? Journal of Financial and Quantitative Analysis. https://doi.org/10.1017/s0022109017000540

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.