Peer Effect and Perceived Social Tipping Point of Ev Adoption

Abstract

While recent research on social tipping points has advanced conceptual understanding in this field, empirical studies are called for to support the theories. Here, we explore a conceptual method to identify whether a tipping point exists and, if so, where it is located in cities' adoption of green technologies through peer effects. We test this conceptualization using the Shanghai EV adoption case, collecting 1,111 valid responses through an online survey. By analyzing self-reported individual thresholds, we estimated the perceived social tipping point, in Shanghai, falls between 31-40% of the peers adopting EVs. Beyond this level, a self-sustaining uptake can be anticipated. We found that peer learning and conformity to social norms underpin such peer effects. Other factors, such as technology, infrastructure, and policies, are critical to creating an enabling environment to induce such positive cascades. Our study can offer insights and policy implications for cities and regions pursuing positive cascades.

Keywords: social tipping, tipping points, tipping conditions, urban sustainability transition, electric vehicle adoption