Research on the Measurement, Evolution, and Driving Factors of Green Innovation Efficiency in Yangtze River Economic Belt: A Super-SBM and Spatial Durbin Model

Renyan Long, Hangyuan Guo, Danting Zheng, Ronghua Chang, Sanggyun Na

DOI: 10.1155/2020/8094247
Published: 2020
Container: Complexity
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2020/8094247,
  title = {Research on the Measurement, Evolution, and Driving Factors of Green Innovation Efficiency in Yangtze River Economic Belt: A Super-SBM and Spatial Durbin Model},
  author = {Renyan Long and Hangyuan Guo and Danting Zheng and Ronghua Chang and Sanggyun Na},
  year = {2020},
  journal = {Complexity},
  doi = {10.1155/2020/8094247},
  url = {https://doi.org/10.1155/2020/8094247}
}

RIS

TY  - JOUR
TI  - Research on the Measurement, Evolution, and Driving Factors of Green Innovation Efficiency in Yangtze River Economic Belt: A Super-SBM and Spatial Durbin Model
AU  - Renyan Long
AU  - Hangyuan Guo
AU  - Danting Zheng
AU  - Ronghua Chang
AU  - Sanggyun Na
PY  - 2020
JO  - Complexity
DO  - 10.1155/2020/8094247
UR  - https://doi.org/10.1155/2020/8094247
ER  -

APA

Long, R., Guo, H., Zheng, D., Chang, R., & Na, S. (2020). Research on the Measurement, Evolution, and Driving Factors of Green Innovation Efficiency in Yangtze River Economic Belt: A Super-SBM and Spatial Durbin Model. Complexity. https://doi.org/10.1155/2020/8094247

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doaj · retrieved 2026-09-24T21:00:20.013Z