Cleantech and policy framework in Europe: A machine learning approach-Reference-Cited by-同舟云学术

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Cleantech and policy framework in Europe: A machine learning approach

Published:2024-03 Issue: Volume:186 Page:114006
ISSN:0301-4215
Container-title:Energy Policy
language:en
Short-container-title:Energy Policy

Author:

Croce Annalisa^ORCID,Toschi Laura^ORCID,Ughetto Elisa^ORCID,Zanni Sara^ORCID

Funder

European Investment Bank

Publisher

Elsevier BV

Reference62 articles.

1. Can environmental regulations be good for business? An assessment of the Porter hypothesis;Ambec;Energy Stud. Rev.,2006

2. The Porter Hypothesis at 20: can environmental regulation enhance innovation and competitiveness?;Ambec;Rev. Environ. Econ. Pol.,2013

3. Using Machine Learning to Map the European Cleantech Sector;Ambrois,2023

4. Removing environmental market failure through support mechanisms: insights from green start-ups in the British, French and German energy sectors;Ball;Small Bus. Econ.,2019

5. Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model;Bi;Energy Pol.,2014

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Boosting the clean energy transition through data science;Energy Policy;2024-10

2. Profit first, environmental impact second? Investigating hybrid institutional logics in venture capital investment approaches;Business Strategy and the Environment;2024-08

3. Climate issues in portfolio investment decisions: a comparison of Private equity and venture capital;Venture Capital;2024-05-10

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