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Retraction

RETRACTED: Wang et al. Evaluating and Predicting Green Technology Innovation Efficiency in the Yangtze River Economic Belt: Based on the Joint SBM Model and GM(1,N|λ,γ) Model. Sustainability 2025, 17, 6229

1
School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China
2
School of Management Science and Engineering, Research Institute for Risk Governance and Emergency Decision-Making, Nanjing University of Information Science and Technology, Nanjing 210044, China
3
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
4
School of Business, Nanjing University of Information Science and Technology, Nanjing 210044, China
*
Author to whom correspondence should be addressed.
Sustainability 2026, 18(6), 2713; https://doi.org/10.3390/su18062713
Submission received: 4 March 2026 / Accepted: 5 March 2026 / Published: 11 March 2026
The journal retracts the article titled, “Evaluating and Predicting Green Technology Innovation Efficiency in the Yangtze River Economic Belt: Based on the Joint SBM Model and GM(1,N|λ,γ) Model” [1], cited above.
Following publication, the authors notified the Editorial Office that they had identified a technical error in the data processing script used in the study and requested the retraction of this article [1].
In accordance with the journal’s standard procedures, an investigation was conducted by the Editorial Office that confirmed that the script error compromised the reliability of the reported results. Consequently, the main findings and conclusions of the article are no longer supported by the data. Due to the impact of this error on the analysis and overall findings, the Editorial Board have decided to retract this article [1] as per MDPI’s retraction policy.
This retraction was approved by the Editor-in-Chief of the Sustainability journal.
The authors agreed to the retraction.

Reference

  1. Wang, J.; Xiong, P.; Wang, S.; Yuan, Z.; Shangguan, J. RETRACTED: Evaluating and Predicting Green Technology Innovation Efficiency in the Yangtze River Economic Belt: Based on the Joint SBM Model and GM(1,N|λ,γ) Model. Sustainability 2025, 17, 6229. [Google Scholar] [CrossRef] [Scilit]
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MDPI and ACS Style

Wang, J.; Xiong, P.; Wang, S.; Yuan, Z.; Shangguan, J. RETRACTED: Wang et al. Evaluating and Predicting Green Technology Innovation Efficiency in the Yangtze River Economic Belt: Based on the Joint SBM Model and GM(1,N|λ,γ) Model. Sustainability 2025, 17, 6229. Sustainability 2026, 18, 2713. https://doi.org/10.3390/su18062713

AMA Style

Wang J, Xiong P, Wang S, Yuan Z, Shangguan J. RETRACTED: Wang et al. Evaluating and Predicting Green Technology Innovation Efficiency in the Yangtze River Economic Belt: Based on the Joint SBM Model and GM(1,N|λ,γ) Model. Sustainability 2025, 17, 6229. Sustainability. 2026; 18(6):2713. https://doi.org/10.3390/su18062713

Chicago/Turabian Style

Wang, Jie, Pingping Xiong, Shanshan Wang, Ziheng Yuan, and Jiawei Shangguan. 2026. "RETRACTED: Wang et al. Evaluating and Predicting Green Technology Innovation Efficiency in the Yangtze River Economic Belt: Based on the Joint SBM Model and GM(1,N|λ,γ) Model. Sustainability 2025, 17, 6229" Sustainability 18, no. 6: 2713. https://doi.org/10.3390/su18062713

APA Style

Wang, J., Xiong, P., Wang, S., Yuan, Z., & Shangguan, J. (2026). RETRACTED: Wang et al. Evaluating and Predicting Green Technology Innovation Efficiency in the Yangtze River Economic Belt: Based on the Joint SBM Model and GM(1,N|λ,γ) Model. Sustainability 2025, 17, 6229. Sustainability, 18(6), 2713. https://doi.org/10.3390/su18062713

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