Determinants of Electric Vehicle Diffusion in China

Kalthaus, Martin; Sun, Jiatang

doi:10.1007/s10640-021-00596-4

Cited by 23 publications

(9 citation statements)

References 112 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ε it is a random error term. The key advantage of this method is that with lagged variables as instruments, strictly exogenous instruments are not necessary (Bharati and Jia, 2018), and endogeneity issues can be tackled (Kalthaus and Sun, 2021). In particular, the endogeneity caused by bidirectional causality between explanatory variable and explained variable can be solved (Liu et al , 2020).…”

Section: Methodsmentioning

confidence: 99%

Government support, talent, coupling of innovation chain and capital chain: empirical analysis in integrated circuit enterprises

Chen

Wang

2022

CMS

View full text Add to dashboard Cite

Purpose This study aims to investigate the impact of government support on the coupling coordination degree of innovation chain and capital chain in integrated circuit (IC) enterprises and to explore the mechanism for considering talent in the influence path. Design/methodology/approach This paper uses coupling coordination degree model to estimate the coupling of two chains, and applies dynamic panel system generalized method of moments (system-GMM) to analyze the impact of government support on coupling of two chains and conducts dynamic panel threshold regression to explore the threshold effect of talent in the influence of government support on coupling coordination degree. Findings Serious imbalance in the coupling of two chains is a major obstacle in IC enterprises. Government support significantly reduces the coupling coordination degree. The talent in IC enterprises has a significant threshold effect. When the number of talent is lower than the threshold value, government support has a negative impact. Once the number of talent reaches a certain level, government support can significantly enhance the coupling of two chains. Compared with state-owned enterprises, government support has a greater negative impact on the coupling of the two chains in non-state-owned enterprises. The former needs more talent to take advantage of government support. Originality/value This paper applies the concept of coupling into enterprises and deeply studies the coupling coordination degree of two chains. The influence mechanism of government support and talent on the coupling of two chains is explored, which reveals that government support cannot achieve the expected incentive effect without the support of talent. We also discuss the heterogeneous effect of government support and of talent in enterprises of different ownership types.

show abstract

Section: Methodsmentioning

confidence: 99%

Government support, talent, coupling of innovation chain and capital chain: empirical analysis in integrated circuit enterprises

Chen

Wang

2022

CMS

View full text Add to dashboard Cite

show abstract

“…Based on data at the county level in Virginia (US), Jia & Chen documented that the density of charging points is highly correlated with the number of BEV registration numbers [57]. The same result was found in China [65] and Sweden [66], in which the availability of public charging increases the actual adoption of BEVs. However, Mukherjee & Ryan reported that a long distance to the nearest public charging stations positively influences BEV adoption in Ireland, although the effect is quite small [32].…”

Section: Contextual Factorsmentioning

confidence: 83%

“…Kalthaus & Sun reported that a 1% raise in monetary subsidies could lead to a 0.5% increase in newly registered BEVs [65]. In addition, Narassimhan & Johnson reported that a 1% raise in tax incentives results in a 1.15% increase in BEV purchases [67].…”

Section: Monetary Incentive Policiesmentioning

confidence: 99%

See 1 more Smart Citation

From Intention to Actual Behavior to Adopt Battery Electric Vehicles: A Systematic Literature Review

Hoang¹,

Vu²

2022

TOTJ

View full text Add to dashboard Cite

Background: Climate change and global warming are severely impacting countries worldwide. Governments are being urged to promote Battery Electric Vehicles (BEVs) as an alternative to conventional vehicles, which are one of the main sources of emissions and pollution. Despite their environmental benefits, BEV adoption remains at a low level. Therefore, identifying the determinants of BEV adoption is necessary to promote greener transportation. Objective: This study aims at identifying and synthesizing factors affecting BEV adoption intention and actual behavior. A comparison and analysis will be made to draw meaningful results and suggest future research areas. Methods: A systematic literature review was conducted. Data were collected from research articles in peer-reviewed journals of well-known publishers. After a strict qualification process, 45 studies were selected and their findings are critically discussed. Results: Most studies are quantitative in nature and conducted in BEV developed markets. Various determinants of BEV adoption intention were identified and classified into 5 categories: psychological, behavioral, product attributes, contextual, and demographic. Meanwhile, only a few studies examine BEV's actual adoption behavior. Antecedents of adoption behavior were categorized into 4 groups, namely, psychological, behavioral, contextual, and demographic. Conclusion: BEV adoption can be influenced by both internal and external factors. There is a gap in research between intention and behavior in previous studies related to BEV adoption. While determinants of intention are the topic of many studies, actual behavior is more important but limitedly explored. Future research can focus on adoption behavior in newly developed markets with real data rather than utilizing self-reported responses to better analyze actual behavior.

show abstract

“…Facilitating conditions are defined as users' perceptions that infrastructure is available to support the use of technology [15]. In the context of this study, the availability of charging infrastructure is of paramount importance for the acceptance of EVs [16]. Maintenance facilities and parking areas equipped with compatible charging points are also necessary for using EVs [13].…”

Section: Charging Point Networkmentioning

confidence: 99%

The Willingness to Purchase Electric Vehicles: A Comprehensive Review

Purwanto,

Irawan

2024

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

This paper aims to comprehensively investigate the multifaceted factors influencing consumers’ willingness to purchase electric vehicles (EVs), providing a deeper understanding of the drivers behind EV adoption. The study draws on various scholarly sources to examine the intricate relationships among multiple determinants, including environmental concern, performance expectations, effort expectancy, charging point networks, charging time, price, operational costs, incentives, and attitude toward EVs. These factors are analyzed within a conceptual framework, highlighting the pivotal role of attitude as a mediating variable. The review reveals that environmental concern, driven by awareness of the ecological impact of conventional vehicles, motivates individuals to opt for EVs as a more sustainable mode of transportation. Performance expectations, such as energy efficiency and emission reduction, significantly influence consumer preferences. Effort expectancy, indicating the ease of using EV technology, plays a critical role in adoption decisions. Charging infrastructure, both availability and accessibility, is a crucial facilitator of EV adoption, emphasizing the importance of robust charging networks. Concerns about charging time underscore the need for faster and more convenient recharging methods. Price remains a barrier, with high initial costs, although operational cost advantages make EVs economically appealing. Depending on the region, government incentives have varying effectiveness in reducing financial barriers to EV adoption. Attitude toward EVs, acting as a mediating variable, highlights the importance of positive perceptions in shaping consumer intentions. This study offers a comprehensive review of the interplay of factors influencing EV adoption, providing a holistic view of consumer decision-making in the EV market. It emphasizes the need for further empirical research to validate and extend the proposed model. It offers valuable insights for policymakers, manufacturers, and researchers in promoting sustainable transportation solutions and accelerating EV adoption in response to environmental concerns.

show abstract

Determinants of Electric Vehicle Diffusion in China

Cited by 23 publications

References 112 publications

Government support, talent, coupling of innovation chain and capital chain: empirical analysis in integrated circuit enterprises

Government support, talent, coupling of innovation chain and capital chain: empirical analysis in integrated circuit enterprises

From Intention to Actual Behavior to Adopt Battery Electric Vehicles: A Systematic Literature Review

The Willingness to Purchase Electric Vehicles: A Comprehensive Review

Contact Info

Product

Resources

About