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Rooftop Solar PV Adoption Patterns, 2004 - 2012

Author

Listed:
  • Marcello Graziano
  • William Waite

Abstract

This Hotspot and Density Analysis, presented to Connecticut Clean Energy Finance & Investment Authority, uses the spatial weighted approach known as “Getis-Ord Statistics” at Census Block Group levels to identify physical and socioeconomic conditions that limit the adoption of residential solar roof-top photovoltaic (PV) in Connecticut. Our findings show that higher per-thousands adoption rates of residential solar roof-top cluster in rural areas. A DOE SunShot Initiative Rooftop Solar Challenge Sun Rise New England – Open for Business team, Analysis Report (Completed February 2012; released July 2013)

Suggested Citation

  • Marcello Graziano & William Waite, 2012. "Rooftop Solar PV Adoption Patterns, 2004 - 2012," CCEA Studies 2013-03, University of Connecticut, Connecticut Center for Economic Analysis.
  • Handle: RePEc:uct:cceast:2012-feb-01
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    File URL: http://ccea.uconn.edu/studies/SpatialStatisticsAnalysis-Hotspots_20130728release.pdf
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    More about this item

    Keywords

    Solar Adoption; Getis-Ord Statistics;

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand

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