The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
The effect of industrial agglomeration on green development efficiency in Northeast China since the revitalization
Abstract
Abstract Using panel data from 2003 to 2016, this paper estimates the green development efficiency of 34 cities in Northeast China based on the SBM-DEA model and determines whether industrial agglomeration promotes or impedes green development efficiency. The results show the following: (1) The average green development efficiency of Northeast China exhibits a fluctuant upward trend in 2003–2016, and there are significant spatial differences. (2) During the revitalization period, industrial agglomeration hinders green development efficiency. A U-shaped relationship exists between industrial agglomeration and green development. (3) Economic development level and foreign direct investment are positively related to green development efficiency, while industrial structure, energy consumption structure and environmental regulation are negatively related. Economic development level has the greatest positive influence and environmental regulation the strongest negative influence on green development. Several corresponding policy implications are proposed for promoting green development and revitalization.
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.
Integrity signals
Registry
Cites
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.
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
Measuring the efficiency of decision making units
Charnes, A., Cooper, W. W., & Rhodes, E. (1978) · European Journal of Operational Research · doi:10.1016/0377-2217(78)90138-8 · Cited by 29,767
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
Banker, R. D., Charnes, A., & Cooper, W. W. (1984) · Management Science · doi:10.1287/mnsc.30.9.1078 · Cited by 16,729
Toward a New Conception of the Environment-Competitiveness Relationship
Porter, M. E., & Linde, C. V. D. (1995) · Journal of Economic Perspectives · doi:10.1257/jep.9.4.97 · Cited by 13,365
Economic growth and the environment
Grossman, G. M., & Krueger, A. B. (1995) · The Quarterly Journal of Economics · doi:10.2307/2118443 · Cited by 9,901
Estimation of Relationships for Limited Dependent Variables
Tobin, J. (1958) · Econometrica · doi:10.2307/1907382 · Cited by 6,996
A slacks-based measure of efficiency in data envelopment analysis
Tone, K. (2001) · European Journal of Operational Research · doi:10.1016/s0377-2217(99)00407-5 · Cited by 5,632
The rise and fall of the Environmental Kuznets Curve
Stern, D. I. (2004) · World Development · doi:10.1016/j.worlddev.2004.03.004 · Cited by 4,013
Visser, W., Pearce, D., Markandya, A., & Barbier, E. B. (2013) · The Top 50 Sustainability Books · doi:10.9774/gleaf.978-1-907643-44-6_16 · Cited by 1,607
Data envelopment analysis (DEA) – Thirty years on
Cook, W. D., & Seiford, L. M. (2009) · European Journal of Operational Research · doi:10.1016/j.ejor.2008.01.032 · Cited by 1,593
Jackson, T. (1990) · Energy Policy · doi:10.1016/0301-4215(90)90178-7 · Cited by 1,426
Cited by
Qiu, S., Wang, Z., & Geng, S. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.112282 · Cited by 299
When firms adopt sustainable human resource management: A fuzzy‐set analysis
Jia, J., Yuan, S., Wei, L., & Tang, G. (2023) · Human Resource Management · doi:10.1002/hrm.22164 · Cited by 34
Metadata
- Authors
- Guo, Y., Tong, L., & Mei, L.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 258
- Pages
- 120584
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W3005559502
- Cited by
- 304
- References
- 48
- FWCI
- 29.96
- 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: The effect of industrial agglomeration on green development efficiency in Northeast China since the revitalization. https://app.cochat.ai/papers/10.1016/j.jclepro.2020.120584
- The paper
- Guo, Y., Tong, L., & Mei, L. (2020). The effect of industrial agglomeration on green development efficiency in Northeast China since the revitalization. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.120584
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.