Haonan He

Bio: Haonan He is an academic researcher from Chang'an University. The author has contributed to research in topics: Profitability index & Duopoly. The author has an hindex of 1, co-authored 2 publications receiving 6 citations.

Does environmental concern promote EV sales? Duopoly pricing analysis considering consumer heterogeneity

Abstract: The moderating role of consumers’ environmental concern in electric vehicles (EVs) adoption intentions is well established, but the variation between intentions and behaviors leads to the necessity to consider corporate behavior and further evaluate its primary role. This paper constructs a duopoly pricing model and captures consumer heterogeneity in two dimensions to study consumers’ vehicle adoption choices and EV pricing. Counter-intuitively, the results show that environmental concerns may not always stimulate EV sales. Green consumers with environmental concerns enhance EV’s unit profitability, which may induce manufacturers to abandon conventional consumers. Thus, governments should control the phase-out rate of subsidies in markets with more green consumers to mitigate shifts in pricing strategies. Furthermore, by demonstrating the relationship between EV policies, this paper highlights the importance of policy coordination and provides specific strategies. Our findings have broad implications for understanding EV marketing under conditions of customer heterogeneity and cost-effective policy coordination strategies.

Electrification decisions of traditional automakers under the dual-credit policy regime

Abstract: The newly introduced dual-credit policy has made electrification inevitable for traditional automakers. This study considers stochastic credit prices and time-dependent electric vehicle (EV) investment costs to present a novel optimal decision model with three indicators: investment timing, research and development intensity, and product line allocation. This combinatorial optimization problem is solved by developing a genetic algorithm. The simulation result shows that the high profitability of EVs can accelerate electrification, while rapid credit price increases may instead d[1]elay it. Meanwhile, the Corporate Average Fuel Consumption (CFAC) credit rules outperform the New Energy Vehicle (NEV) credit rules in facilitating electrification and driving long-term cumulative EV productions. Interestingly, despite the pressure these rules bring, tightening them is not necessarily beneficial for boosting electrification. Overall, introducing credit ceiling and floor prices, or coordinating policy parameters by steadily tightening CAFC rules while appropriately moderating NEV rules, would effectively accelerate electrification and promote EV productions.

Electrification decisions of traditional automakers under the dual-credit policy regime

Abstract: The newly introduced dual-credit policy has made electrification inevitable for traditional automakers. This study considers stochastic credit prices and time-dependent electric vehicle (EV) investment costs to present a novel optimal decision model with three indicators: investment timing, research and development intensity, and product line allocation. This combinatorial optimization problem is solved by developing a genetic algorithm. The simulation result shows that the high profitability of EVs can accelerate electrification, while rapid credit price increases may instead d[1]elay it. Meanwhile, the Corporate Average Fuel Consumption (CFAC) credit rules outperform the New Energy Vehicle (NEV) credit rules in facilitating electrification and driving long-term cumulative EV productions. Interestingly, despite the pressure these rules bring, tightening them is not necessarily beneficial for boosting electrification. Overall, introducing credit ceiling and floor prices, or coordinating policy parameters by steadily tightening CAFC rules while appropriately moderating NEV rules, would effectively accelerate electrification and promote EV productions.

Information perspective for understanding consumers’ perceptions of electric vehicles and adoption intentions

Abstract: This research aims to explore the relationships between electric vehicle (EV)-related information (e.g., environmentally friendly information and performance and attribute information) and consumers’ perceptions (perceived value and perceived trust) of EVs and adoption intentions. Based on survey data from 343 respondents, this research indicated that environmentally friendly information and performance and attribute information regarding EVs are positively associated with consumers’ perceived value and perceived trust of EVs. However, the positive relationships between environmentally friendly information and performance and attribute information and consumers’ perceived value and perceived trust are dependent on information quality. Information quality positively moderates and strengthens the relationships between EV-related information and perceived value and perceived trust. In addition, perceived value and perceived trust are positively associated with consumers’ intentions to adopt EVs. On the basis of the research findings, policy implications and suggestions to further promote EVs are discussed.