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Promoting clean energy technology entrepreneurship: The role of external context

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  • Malen, Joel
  • Marcus, Alfred A.

Abstract

This study examines how political, social and economic factors influence clean energy technology entrepreneurship (CETE). Government policies supporting clean energy technology development and the development of markets for clean energy create opportunities for CETE. However, the extent to which such opportunities lead to the emergence of new clean energy businesses depends on a favorable external context promoting CETE. This study employs a novel dataset combining indicators of the policy and social context of CETE with information on clean energy technology startup firms in the USA to provide empirical evidence that technological and market conditions supporting clean energy induce more extensive CETE under contexts where local attention to clean energy issues and successful firms commercializing clean energy technologies are more prominent. By establishing that CETE is contingent upon a supportive local environment as well as technology and market opportunities, the study holds relevance for policy makers and clean energy technology firms.

Suggested Citation

  • Malen, Joel & Marcus, Alfred A., 2017. "Promoting clean energy technology entrepreneurship: The role of external context," Energy Policy, Elsevier, vol. 102(C), pages 7-15.
    • Handle: RePEc:eee:enepol:v:102:y:2017:i:c:p:7-15
    DOI: 10.1016/j.enpol.2016.11.045
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    15. Irfan Hameed & Umer Zaman & Idrees Waris & Owais Shafique, 2021. "A Serial-Mediation Model to Link Entrepreneurship Education and Green Entrepreneurial Behavior: Application of Resource-Based View and Flow Theory," IJERPH, MDPI, vol. 18(2), pages 1-19, January.
    16. Theodor F. Cojoianu & Andreas G. F. Hoepner & Xi Hu & Moustafa Ramadan & Paolo Veneri & Dariusz Wójcik, 2024. "Are cities venturing green? A global analysis of the impact of green entrepreneurship on city air pollution," Small Business Economics, Springer, vol. 62(2), pages 523-540, February.
    17. Croce, Annalisa & Toschi, Laura & Ughetto, Elisa & Zanni, Sara, 2024. "Cleantech and policy framework in Europe: A machine learning approach," Energy Policy, Elsevier, vol. 186(C).
    18. Lundgren, Amanda Ivarsson & Milicevic, Adriana & Uddin, Gazi Salah & Kang, Sang Hoon, 2018. "Connectedness network and dependence structure mechanism in green investments," Energy Economics, Elsevier, vol. 72(C), pages 145-153.
    19. Djula Borozan & Luka Borozan, 2019. "Examining the Industrial Energy Consumption Determinants: A Panel Bayesian Model Averaging Approach," Energies, MDPI, vol. 13(1), pages 1-17, December.

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