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Community Solar Programs and Household Adoption: A Mixed-Methods Study (2018–2023)

We investigate how community solar programs influence household adoption and which factors dominate across regions.

Data and Methods

• Data were collected from 2018 to 2023 and include 2,134 survey responses and meter records from three cities.
• Models were trained using a mixed-methods design, in which qualitative codes were integrated into a panel regression that predicted adoption intentions.

Findings

• Whereas previous studies have focused on cost and awareness, our results show that policy stability and neighborhood trust also matter.
• The experiment was conducted in two phases:
  • Phase 1: households received curated information.
  • Phase 2: a rebate was offered.
• The treatment group increased adoption by 11% relative to the control group, suggesting that programs may be scalable when outreach and incentives are aligned.

Implications and Limitations

• Implications: Aligning communication and financial incentives can enhance the effectiveness and potential scalability of community solar programs.
• Limitations: Possible self-selection and a sample that does not represent rural areas.

Keywords: community solar programs, household adoption, mixed-methods, panel regression, policy stability, neighborhood trust, rebate, survey data, meter records, experimental design

Subject: Update on Order #47219: Shipping Delay and Next Steps

Hi Mason,

I hope you’re well.

We reviewed your order #47219 and found that the shipment did not leave the warehouse on Monday as planned. The carrier has reported a temporary network issue that delayed label scanning. We apologize for the delay and take full responsibility.

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