Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 417

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: A novel integrated approach

Zhu, Bangzhu, Zhang, Mengfan, Zhou, Yanhua, Wang, Ping, Sheng, Jichuan, He, Kaijian, Wei, Yi-Ming, Xie, Rui·2019·Energy Policy

Abstract

Abstract Industrial structure adjustment is one of the effective measures for achieving green development. Aiming at improving green development efficiency through industrial structure adjustment, this study proposes a novel integrated approach incorporating industrial structure adjustment measurement, super-efficiency slacks-based measure with undesirable outputs and panel regression models to explore the effect of industrial structure adjustment on green development efficiency. Taking the provincial data of China from 1999 to 2016 as an example, the empirical results show that during the study period, China's provincial industrial structure rationalizations and advancements have three trends, i.e. rising, U-shaped and inverted U-shaped. In the meantime, China's provincial green development efficiency also has three trends, i.e. rising, falling and U-shaped. Industrial structure rationalization and advancement both have a positive effect on green development efficiency. Compared with the industrial structure rationalization, the advancement has a greater effect on green development efficiency. Environmental protection, urbanization, energy conservation and emission reduction policy are conducive to improving green development efficiency. However, human capital and openness have a negative effect on green development efficiency.

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 · 10.1016/j.enpol.2019.110946

Cites

7 of 7 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 7 references

Cited by

See all 417

Metadata

Authors
Zhu, B., Zhang, M., Zhou, Y., Wang, P., Sheng, J., He, K., Wei, Y.-M., & Xie, R.
Venue
Energy Policy
Publisher
Elsevier BV
Published
2019-11
Volume
134
Pages
110946
ISSN
0301-4215 (ISSN-L)
OpenAlex
W2973035818
Cited by
417
References
7
FWCI
25.93
Type
journal article
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: Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: A novel integrated approach. https://app.cochat.ai/papers/10.1016/j.enpol.2019.110946
The paper
Zhu, B., Zhang, M., Zhou, Y., Wang, P., Sheng, J., He, K., Wei, Y.-M., & Xie, R. (2019). Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: A novel integrated approach. Energy Policy. https://doi.org/10.1016/j.enpol.2019.110946

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.