Bridging the Sustainable Energy Gap
Student-led research and outreach making homes more efficient and communities greener through evidence-based solutions.
Published
Academic Research
Published Research
“Urban Predictors of Household Participation in Energy-Saving Incentive Programs”
Our groundbreaking study published in the Curieux Academic Journal identifies five key predictors that influence energy program participation across major U.S. metropolitan areas.
Our Research Impact
Evidence-based insights driving real change in energy policy and community outreach
Current Participation Rate
Our research revealed that only 28% of respondents participated in energy incentive programs, highlighting a massive opportunity for improvement.
Want Future Participation
Despite low current participation, 75% expressed interest in future programs, showing strong potential for growth.
Key Predictors Identified
Our statistical analysis identified five significant predictors: property value, heat pump ownership, heating system type, time constraints, and contractor knowledge.
Cost as Primary Barrier
Cost remains the top barrier, followed by lack of information (40.3%) and time constraints (17.3%).
Participation Increase
Every $100,000 increase in property value correlates with approximately 3.1% higher participation rates in energy programs.
Metropolitan Areas Studied
Our comprehensive survey covered Ohio, Pennsylvania, New York, Maryland, Virginia, and Washington D.C. metropolitan areas.
Groundbreaking Energy Research
Our peer-reviewed study “Urban Predictors of Household Participation in Energy-Saving Incentive Programs” represents the first comprehensive analysis of its kind across multiple U.S. metropolitan areas.
- First multi-state study on energy incentive participation predictors
- 220+ survey responses from 6 states and D.C.
- Rigorous Poisson regression analysis with 21 predictor variables
- Published in Curieux Academic Journal
- Policy recommendations for improving program accessibility
Key Finding: Higher-income households and those with relevant heating systems are more likely to participate, but even they face significant barriers. This underscores the need for targeted outreach addressing equity concerns.
Research Methodology
Statistical Analysis:
220 Survey Responses
21 Predictor Variables
Poisson Regression Model
R² = 0.288
Our rigorous statistical approach ensures reliable, actionable insights for policymakers and energy providers.
Latest Updates & Research
Stay updated with our latest research findings, community events, and policy insights
Navigating Home Energy Rebates: The LinkMind Guide
By Cathy Ding, Civa Haverson, and Rana HaversonFederal clean energy tax credits are hard to…
Behind Every Door: The Real Story
By LinkMind FoundationFive members of LinkMind stood on suburban streets across six states, clipboards in…
7/10/25- LinkMind Gets Published!
By Rana Haverson After a months-long, nationwide effort, the results of LinkMind Foundation's 2024 Home…
2/1/25- LinkMind at Liberty Center’s Lunar New Year Celebration
By Rana Haverson Earlier this month, Cathy Ding of our Ohio-based team hosted a stand…
11/27/24- LinkMind Survey Canvassing in DC
By Rana Haverson This past November, LinkMind members Civa, Ivy, and Rana canvassed in the…
Cradle to Cradle- 5 Key Takeaways
By Cathy Ding "Cradle to Cradle: Remaking the Way We Make Things" (2002) by William…
Join Our Mission
Help us bridge the sustainable energy gap through research, education, and community outreach