Enhancing Green Financial Efficiency: An Integrated Analysis of Renewable Energy Companies in China Using the Super-efficient SBM Model and Panel Quantile Regression Technique
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Enhancing Green Financial Efficiency: An Integrated Analysis of Renewable Energy Companies in China Using the Super-efficient SBM Model and Panel Quantile Regression Technique
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Identifier |
https://doi.org/10.7910/DVN/QNNZLD
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Creator |
Shockee
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Publisher |
Harvard Dataverse
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Description |
This study used annual data from 119 listed renewable energy companies in China from 2013 to 2022 as the research sample, measured the financing efficiency of the sample companies under the framework of GS-SBM model and GML index model, and evaluated and analyzed them from both static and dynamic perspectives. In addition, based on the industry characteristics of renewable energy and previous research results, this article selected six factors that have a certain impact on corporate financing efficiency, and obtained the specific impact effects and heterogeneity of these influencing factors through Driscoll Kraay standard error panel regression method and panel quantile regression method
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Subject |
Social Sciences
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Date |
2024-01-30
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