This study aims to determine the influential factors on the market share of electric vehicles through panel data analysis based on time series data from 2011 to 2015 in 31 countries. We selected five significant independent variables that are expected to affect electric vehicle adoption based on literature review. The econometric model in this study suggests that the relative price of electric vehicle compared to internal combustion engine vehicle, driving range, and number of models available in markets are correlated to the market share of electric vehicles. On the other hand, relationship between recharging infrastructure—an important factor for electric vehicle adoption in many studies—and market share of electric vehicles turned out to be insignificant in this study. From a political point of view, we argue that policy makers need to allocate more resources to research and development in order to extend driving range at the early stage of electric vehicle deployment in the markets.

This article paper investigates the effectiveness of innovation financing systems by examining the structural equation modeling (SEM) that imputes relationships among latent variables including innovation financing, technology innovation competency, financial performance and non-financial performance of innovative SMEs in Korea. It is identified that innovation financing increases not only technological innovation competency but also business performance of innovative SMEs in Korea. Meanwhile, innovation competency decreases financial performance of firms and increases non-financial performance. These findings are helpful to policy makers in developing countries which should allocate scarce resources efficiently for its economic growth. Providing innovation financing through technology appraisal to innovative SMEs has the potential to grow into one of the most efficient financial policies.