Efficiency evaluation of green innovation of China's heavy pollution industries based on SBM-Lasso-Tobit model.

Fu C, Li Y, Zhang J, Min W.

Open source

DOI: 10.1371/journal.pone.0274875
Published: 2022-09-29
Container: PLoS One
Publisher: Not recorded
Open access: yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0274875,
  title = {Efficiency evaluation of green innovation of China's heavy pollution industries based on SBM-Lasso-Tobit model.},
  author = {Fu C and  Li Y and  Zhang J and  Min W.},
  year = {2022},
  journal = {PLoS One},
  doi = {10.1371/journal.pone.0274875},
  url = {https://doi.org/10.1371/journal.pone.0274875}
}

RIS

TY  - JOUR
TI  - Efficiency evaluation of green innovation of China's heavy pollution industries based on SBM-Lasso-Tobit model.
AU  - Fu C
AU  -  Li Y
AU  -  Zhang J
AU  -  Min W.
PY  - 2022
JO  - PLoS One
DO  - 10.1371/journal.pone.0274875
UR  - https://doi.org/10.1371/journal.pone.0274875
ER  -

APA

C, F., Y, L., J, Z., & W., M. (2022). Efficiency evaluation of green innovation of China's heavy pollution industries based on SBM-Lasso-Tobit model.. PLoS One. https://doi.org/10.1371/journal.pone.0274875

Source records

europe-pmc · retrieved 2026-09-26T19:54:28.054Z
doaj · retrieved 2026-09-26T19:54:28.036Z