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Financial support is of crucial importance for driving technological innovation within the new energy vehicle (NEV) industry. By using the data of listed NEV enterprise in China from 2016 to 2020, the panel regression model is employed to explore the effect mechanism of financial support on technology innovation. Furthermore , Data Envelopment Analysis (DEA) and Malmquist index method are applied to assess the financial support efficiency from static and dynamic perspectives, respectively. The results indicate that: (1) Both market-oriented and policy-oriented financial support significantly contribute to technology innovation across the entire NEV industrial chain, with R&D investments playing a critical mediating role. (2) Upstream and midstream enterprises are mainly supported by bank credit, while downstream enterprises rely more on equity and government support. (3) Upstream enterprises have the highest financial support efficiency and stable total factor productivity (TFP), while midstream and downstream enterprises are affected by external environments, leading to a gradual decline in TFP. Finally, it is suggested to enhance the innovation level of the NEV industry through building a multi-level market-oriented financial support system, improving the policy support mechanism and promoting industrial chains coordination development. This study sheds light on the importance of targeted financial support strategies to foster sustainable innovation in the NEV industry. • The effect mechanism and efficiency of financial support on new energy vehicles technology innovation is explored in this study. • Both market-oriented and policy-oriented financial support significantly contribute to technology innovation. • Upstream and midstream enterprises are mainly supported by bank credit, with upstream enterprises having the highest financial support efficiency and stable total factor productivity. • Downstream enterprises are proved susceptible to external environmental influences and mainly rely on equity and government support. [ABSTRACT FROM AUTHOR]

The low-carbon transformation is the key to China's high-quality economic development. This paper uses the panel data of 278 Chinese cities to measure low-carbon total factor productivity (LCTFP) and examines the impact of environmental protection tax (EPT) reform on LCTFP. EPT significantly promotes LCTFP. The promotion effect is more significant in the lower administrative level and resource-based cities in central and western regions. EPT promotes LCTFP through three channels including green technology innovation (GTI) effect, industrial structure upgrading effect and forcing effect. EPT has a negative spatial spillover effect on LCTFP in neighboring areas. This paper provides important empirical evidence for further advancing the EPT in China. • EPT significantly promotes LCTFP. • The promotion effect is more significant in low administrative level and resource-based cities in central-western region. • EPT promotes LCTFP through green technology innovation, industrial structure upgrading and forcing effect. • EPT has a negative spatial spillover effect on LCTFP in neighboring areas. [ABSTRACT FROM AUTHOR]

Green technology innovation has gained incessant recognition due to rising concerns about environmental sustainability. It has the potential to improve energy efficiency by increasing total factor carbon productivity through mitigating effects. This research probes the asymmetric nexus between green technology innovation and energy efficiency in the top ten green innovator economies (Switzerland, Sweden, Germany, USA, Denmark, Finland, UK, Netherlands, Japan, and Norway). Prior investigations applied panel data approaches to acquire persistent outcomes on the green technology innovation-energy efficiency nexus, even though some countries did not individually demonstrate such a link. Comparatively, this study employs a distinctive 'Quantile-on-Quantile' technique that enables investigators to examine time-series dependence in each country by furnishing an international yet economy-specified understanding of the conjunction between the variables. Estimations disclose that green technology innovation improves energy efficiency in the majority of our selected economies at particular quantiles. It is also demonstrated that the asymmetries between our variables fluctuate among countries, highlighting the need for special care when adopting green innovation, energy efficiency, and sustainable environment policies. • The study analyzes the asymmetric green innovation-energy efficiency nexus. • A novel methodology, 'Quantile-on-Quantile (QQ)', is used. • The data for top-10 green innovator countries is used. • It is found that green innovations improve energy efficiency. [ABSTRACT FROM AUTHOR]