The Cultivation of Electric Vehicles Market in China:  Dilemma and Solution

Tan, Qinliang; Wang, Minnan; Deng, Yanming; Yang, Haiping; Rao, Rao; Zhang, Xingping

doi:10.3390/su6085493

Cited by 26 publications

(19 citation statements)

References 13 publications

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“…Due to its smaller size, E2Ws can be handy to address congestion issues in large cities. Some research indicates that E2Ws are replacing private journeys that could have been made by cars [69][70][71][72][73]. Thereby, if the governments and private institutions devise policies that induce car users to shift towards E2Ws, congestion could be reduced in developing countries.…”

Section: Congestion Costmentioning

confidence: 99%

Prospects of Electric Vehicles in the Developing Countries: A Literature Review

2020

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Electric mobility offers a low cost of travel along with energy and harmful emissions savings. Nevertheless, a comprehensive literature review is missing for the prospects of electric vehicles in developing countries. Such an overview would be instrumental for policymakers to understand the barriers and opportunities related to different types of electric vehicles (EVs). Considering the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines, a systematic review was performed of the electronic databases Google Scholar and Web of Science for the years 2010-2020. The electric four-wheelers, hybrid electric vehicles and electric two-wheeler constituted the electric vehicles searched in the databases. Initially, 35 studies identified in the Web of Science that matched the criteria were studied. Later, 105 other relevant reports and articles related to barriers and opportunities were found by using Google Scholar and studied. Results reveal that electric four-wheelers are not a feasible option in developing countries due to their high purchase price. On the contrary, electric two-wheelers may be beneficial as they come with a lower purchase price.

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Section: Congestion Costmentioning

confidence: 99%

Prospects of Electric Vehicles in the Developing Countries: A Literature Review

2020

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“…Regarding situational factors, technical features (including charging time, charging infrastructure, driving range and vehicle performance [22][23][24][25][26][27]), cost (including purchase price and usage costs [28][29][30][31]), environmental attributes [32,33] and government policy [33,34] have been put forward as the main influencing factors. Li [35] and Matthews [36] have stated that professional pre-sale consulting and experience services are key factors.…”

Section: Influential Factors To the Adoption Of Electric Vehicles (Evs)mentioning

confidence: 99%

Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China

Yang

Tan

2019

Sustainability

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The adoption behavior of electric vehicles (EVs) has received considerable attention. However, the whole process of purchase behavior has not been well understood. In response, this paper investigates the uptake of EVs in Beijing, China, with a focus on the whole process of purchasing an EV, as well as the relevant policies. Specifically, the classical Howard–Sheth theory is used to the analyze the whole process of EV purchasing, which is divided into four stages here, namely, “Ignored and Neglected”, “Proactive Attention”, “Comparison and Selection of Vehicles” and “Usage Evaluation”. Furthermore, several “what-if” scenarios are set up to quantify the influence of some typical EV-related polices, including the license plate lottery policy and no traffic constriction on battery electric vehicles (BEVs). The results suggest: (1) 63.4% of BEV owners have rigid travel demands with cars; (2) BEVs with a driving range of 500 km, 30-minutes charging time and price of RMB 15,000 are the first choices for the majority of people; (3) 64% of BEV owners are influenced by positive comments from the users around them in the adoption of EVs; (4) the no traffic constriction on BEVs tends to be more influential than the license plate lottery policy in terms of the numbers of applications for the vehicle purchase permits and BEV purchasers, as well as energy saving and vehicular emission reduction. These findings should be helpful for different EV-related stakeholders, such as the government, to shape their policies and promote the development of EVs.

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“…As an essential component of supply infrastructure, public charge piles totaled 214,000 in 2017, as shown in Figure 1. However, it is worth noting that the imbalance of demand-supply in electric vehicle charging infrastructure (EVCI) and low charging service have become the prominent obstacles to sustainable development of EVs in China [4]. To deal with the issues mentioned, the public-private partnership (PPP) model has been introduced in EVCI projects to satisfy increasingly urgent charging demand by attracting private sectors to participant in electric vehicle charging infrastructure public-private partnership projects (EVCI-PPPs) [5,6].…”

Section: Introductionmentioning

confidence: 99%

Risk Identification and Analysis for PPP Projects of Electric Vehicle Charging Infrastructure Based on 2-Tuple and the DEMATEL Model

Zhang

Zhao

Chai

et al. 2019

WEVJ

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Risk management is critical to the success of electric vehicle charging infrastructure public-private partnership (EVCI-PPP) projects, as risks are present throughout the whole life cycle of projects. However, in EVCI-PPP projects, risk factors are often interdependent and, consequently, the interrelationships among factors affect the risk management, which is ignored in the existing studies. To identify the risk factors of EVCI-PPP projects and analyze their internal influence relations, this paper develops a risk identification and analysis model of EVCI-PPP projects based on the 2-tuple linguistic representation model and the decision-making trial and evaluation laboratory (DEMATEL) model. First, a risk factor set is established including 22 criteria involved in 5 dimensions of political/legal risk, economic/market risk, social/environment risk, project/technical risk, and managing risk. Next, the 2-tuple model is introduced to integrate the decision makers' evaluation information in a linguistic environment, and the direct relation matrix is calculated. Then, the cause-effect relations and a significant degree of risk factors are interpreted using the extended DEMATEL technique. The results show that economic/market risk is the most significant factor of EVCI-PPP projects, and 22 criteria are classified into 14 cause factors and 8 effect factors. Finally, suggestions are provided for decision-makers to ensure the success of EVCI-PPP projects.

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The Cultivation of Electric Vehicles Market in China: Dilemma and Solution

Cited by 26 publications

References 13 publications

Prospects of Electric Vehicles in the Developing Countries: A Literature Review

Prospects of Electric Vehicles in the Developing Countries: A Literature Review

Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China

Risk Identification and Analysis for PPP Projects of Electric Vehicle Charging Infrastructure Based on 2-Tuple and the DEMATEL Model

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