Understanding the factors affecting environmental efficiency and technology inequality of Chinese cities: insights from production assumptions in data envelopment analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s10668-022-02683-y.pdf
Reference58 articles.
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2. Banker, R. D., Cooper, W. W., Seiford, L. M., Thrall, R. M., & Zhu, J. (2004). Returns to scale in different DEA models. European Journal of Operational Research, 154(2), 345–362.
3. Basso, A., & Funari, S. (2014). Constant and variable returns to scale DEA models for socially responsible investment funds. European Journal of Operational Research, 235(3), 775–783.
4. Bian, J., Ren, H., & Liu, P. (2020). Evaluation of urban ecological well-being performance in China: A case study of 30 provincial capital cities. Journal of Cleaner Production, 254, 120109.
5. Cai, B., Guo, H., Ma, Z., Wang, Z., Dhakal, S., & Cao, L. (2019). Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data. Applied Energy., 242, 994–1009.
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