Background and aim: Low-carbon technology innovation(L-CTI) is an essential way to realize the socio-economic transition to a low-carbon model. However, relatively few studies have been conducted on the calculation of low-carbon technology innovation efficiency(L-CTIE) and the identification of factors influencing it. The study intends to assess the L-CTIE of new energy enterprises(L-CTI-NEEs) and to analyze its influencing factors, so as to further improve the L-CTIE capability. Methods: Using the panel data of new energy enterprises(NEEs) in 2010-2020, DEA(BCC)-Malmquist-Tobit method is constructed to static and dynamic evaluate the L-CTIE of new energy enterprises(L-CTIE-NEEs), and analyze its influencing factors with triple helix theory. Results: During the study period, the L-CTIE among NEEs was quite different, and the Malmquist index change trend had phased characteristics. From the perspective of factors influencing innovation efficiency, technology integration capacity of enterprises, support intensity of government and cooperation scale of government-enterprises-universities & research institutions play a crucial part in promoting the EEFCH, PECH and SECH of L-CTIE-NEEs, while resource conversion capacity of universities & research institutions only promotes PECH. Conclusion: According to the research results, a triple helix model of L-CTI-NEEs is constructed to enhance its L-CTIE level.

Analysis of low-carbon technology innovation efficiency and its influencing factors based on triple helix theory: Evidence from new energy enterprises in China / Guo, Yu; Bruno, Giulia; Zhang, Deming; Han, Kaikai. - In: HELIYON. - ISSN 2405-8440. - STAMPA. - 9:10(2023), pp. 1-13. [10.1016/j.heliyon.2023.e20308]

Analysis of low-carbon technology innovation efficiency and its influencing factors based on triple helix theory: Evidence from new energy enterprises in China

Giulia Bruno;
2023

Abstract

Background and aim: Low-carbon technology innovation(L-CTI) is an essential way to realize the socio-economic transition to a low-carbon model. However, relatively few studies have been conducted on the calculation of low-carbon technology innovation efficiency(L-CTIE) and the identification of factors influencing it. The study intends to assess the L-CTIE of new energy enterprises(L-CTI-NEEs) and to analyze its influencing factors, so as to further improve the L-CTIE capability. Methods: Using the panel data of new energy enterprises(NEEs) in 2010-2020, DEA(BCC)-Malmquist-Tobit method is constructed to static and dynamic evaluate the L-CTIE of new energy enterprises(L-CTIE-NEEs), and analyze its influencing factors with triple helix theory. Results: During the study period, the L-CTIE among NEEs was quite different, and the Malmquist index change trend had phased characteristics. From the perspective of factors influencing innovation efficiency, technology integration capacity of enterprises, support intensity of government and cooperation scale of government-enterprises-universities & research institutions play a crucial part in promoting the EEFCH, PECH and SECH of L-CTIE-NEEs, while resource conversion capacity of universities & research institutions only promotes PECH. Conclusion: According to the research results, a triple helix model of L-CTI-NEEs is constructed to enhance its L-CTIE level.
2023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2983665