Government subsidies are an important means to guide enterprises’ investment in technological innovation. While countries are increasing government subsidies to enterprises, how to effectively leverage government subsidies is a concern of the academic community. At present, scholars’ research conclusions on the impact of government subsidies on enterprise technological innovation include promotion effect, extrusion effect, and mixing effect. Relevant research is often conducted from a single perspective. This paper studies the relationship between government subsidies and enterprise technological innovation, and integrates the macro-institutional environment, meso-market structure, and micro-corporate governance into the same framework. Taking information transmission, software, and information technology service companies as samples, it analyzes the influencing factors of the Chinese government research and development (R&D) subsidies on enterprises’ innovation investment. This paper uses Stata16 software to perform the least square analysis. The research shows that the Chinese government R&D subsidies have a significant incentive effect on corporate technology innovation investment. The higher the marketization process, the more dispersed its equity, and the government subsidy promotes corporate technology innovation investment. The more significant it is; for industries with different product market competition, government subsidies have no significant impact on enterprises’ investment in technological innovation. Based on empirical research conclusions, this study puts forward policy recommendations to increase the intensity of government subsidies and optimize the structure of corporate equity to increase the leverage effect of government subsidies.

As energy shortages and environmental pollution intensify, innovation in new energy vehicles is considered a major priority. They present an important opportunity to change the direction of China’s automobile industry while reducing greenhouse gas emissions. Following various launches of new energy vehicles, the problem of product homogenization is emerging, and automobile companies are contemplating how to increase their market share. This study investigates a few questions that have been left unanswered in previous research, which are mainly focused on the value and price of new energy vehicles. We focus on the effect of new energy vehicle companies’ innovative behaviors on consumers’ purchasing intention in the Chinese market. Innovative behaviors are defined here as the rationalization or modernization choices firms make with respect to products, marketing, service, technological, and cultural factors. The study verified the structural equation model constructed using survey data. Our study of 479 surveyed customers shows that consumers’ perceived value is positively (+) correlated with a higher degree of innovation by a firm. In general, the relationship between innovation behavior and consumers’ perceived risk shows negative results, however, the relationship in this research showed contradictory results. The only negative (−) effects on product purchase were observed in marketing and technological innovation; these factors increase perceived risk by increasing the tendency of consumers to choose to purchase a new energy vehicle despite feeling uneasy about the innovation despite uncertainties about the innovation of new energy vehicles. Our results present the relationship between innovative behaviors of new energy vehicle firms, consumers’ perceived value, consumers’ perceived risk, consumers’ innovative affinities and characteristics, and finally, purchase intention to explore the influence of innovation factors on consumers’ purchase intention of new energy vehicles. These findings should assist new vehicle firms in understanding Chinese consumers’ purchase intentions.

The global proliferation of electric vehicles (EVs) has brought forth new challenges in electric vehicle (EV) charging infrastructure. This paper utilizes operational data from the 5G real-time system of EV and traffic platforms (5gRTS-ET) in China, encompassing 12,597,109 cases and 32,259 EVs. By employing frequency density analysis, a dynamic charging behavior model is devised to address the limitations of static models in accommodating the diverse roles of EV users. Analysis reveals distinct charging behavior preferences among three urban EV operation modes, paving the way for an adaptive model for integrating charging points into networked operations on the platform.

중국에서 인터넷전문은행에 대한 관심이 점차 높아지고 있다. 하지만 높은 관심에도 불구하고 5년 남짓이라는 짧은 역사로 인하여 관련 이론 연구과 실증분석이 매우 드문 형편이다. 본 연구에서는 이러한 점을 고려하고 기존 선행연구를 바탕으로 중국의 최대 인터넷전문은행인 WeBank를 연구대상으로 삼아 기업의 모든 자원과 능력을 평가하는 VRIO 이론을 적용하여 내부자원 분석을 시도하였다. 본 논문에서는 WeBank의 내부자원을 VRIO 모델에 따라 가치(Value), 희소성(Rarity), 모방(Imitability), 조직(Organization)의 네 개의 프레임으로 나누어 분석하였다. 분석결과 높은 수준의 인적자본, 우수한 재정 조건 및 뛰어난 브랜드 효과는 WeBank가 업계의 선두주자가 되기 위한 유리한 내부자원임이 확인되었다. 재무 상황, 제품의 수익성, 운영의 효율성, 기술 연구와 개발 역량 및 자원 통합 기능은 경쟁이 매우 치열한 분야로 나타났다. VRIO을 이용한 중국 WeBank 인터넷전문은행 산업의 내부역량평가 결과는 다른 인터넷전문은행의 전략 개발에 이론적이고 실무적인 의미를 제공할 수 있을 것으로 기대된다.