Ripple cofounder says California should allow Chinese EVs for low-income buyers

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Published: 2026-09-08T22:38:20.570Z • Permanent link

Chris Larsen, the cofounder of Ripple, has been speaking out about the challenges faced by low-income buyers in California when it comes to purchasing electric vehicles (EVs). Larsen stated that California has imposed the "most regressive tax in the world," which he believes disproportionately affects low-income households. To address this issue, Larsen suggested that the state should allow Chinese EVs to be sold to low-income buyers. According to data from the California Department of Motor Vehicles, over 1.4 million EVs are registered in the state, with the majority being Tesla models. However, these vehicles come with a hefty price tag, making them inaccessible to many low-income households. Larsen's comments have sparked a heated debate about the role of taxation and regulation in shaping the EV market.

Larsen's comments are not the first of their kind. In 2020, the California State Assembly passed a bill that would have required all new EVs sold in the state to be made in the United States. The bill was met with opposition from the automotive industry and was ultimately vetoed by Governor Gavin Newsom. Despite this setback, Larsen's comments highlight the ongoing challenges faced by low-income households in accessing affordable EVs. To address these challenges, some experts are calling for a more nuanced approach to taxation and regulation. For example, some argue that a tax credit system could be implemented to help offset the higher costs associated with purchasing EVs.

The issue of affordable EVs is not unique to California. In many parts of the world, access to affordable transportation is a major challenge, particularly for low-income households. According to a report by the International Energy Agency, over 1 billion people worldwide lack access to reliable transportation. The report highlights the need for policymakers to develop more effective solutions to address this issue. One potential solution is to promote the adoption of affordable EVs, which could help reduce greenhouse gas emissions and improve air quality.

The impact of Larsen's comments on the Data Sources domain cannot be overstated. The issue of affordable EVs is a major concern for companies that produce EVs, as well as for research communities that study the impact of EVs on the environment. For example, a study by the National Renewable Energy Laboratory found that widespread adoption of EVs could reduce greenhouse gas emissions by up to 70%. However, the study also highlighted the need for policymakers to develop more effective solutions to address the challenges faced by low-income households. Companies such as Tesla and General Motors have already begun to address this issue by offering more affordable EV models and implementing tax credit programs.

The impact of Larsen's comments on the Data Sources domain is also relevant to the research community. A study by the University of California, Berkeley found that the adoption of EVs can have a significant impact on the environment, but that the benefits of EVs are often offset by the costs associated with purchasing them. The study highlights the need for policymakers to develop more effective solutions to address the challenges faced by low-income households. Researchers in the field of transportation policy are also taking note of Larsen's comments, with many calling for a more nuanced approach to taxation and regulation.

Market analysts are also taking a close look at Larsen's comments, with many predicting that the adoption of EVs will continue to grow in the coming years. According to a report by BloombergNEF, over 50% of new car sales in the United States will be electric by 2030. However, the report also highlights the need for policymakers to develop more effective solutions to address the challenges faced by low-income households. Companies such as Tesla and General Motors are already beginning to address this issue by offering more affordable EV models and implementing tax credit programs.