IDEAS home Printed from https://ideas.repec.org/p/ags/aaea16/235667.html
   My bibliography  Save this paper

It’s All Local? How Sub-State Policies Affect Western US Residential Solar Adoption

Author

Listed:
  • Wiggins, Seth

Abstract

This paper adds to the literature by investigating whether municipal, county, and utility policies drive residential solar photovoltaic (PV) adoption. While previous studies have investigated the effects of state policies, none have do so while including policies at the sub-state level. I employ spatial econometric techniques, which recently have been used to empirically account for the peer effects and spatial clustering that have been found in residential markets. Results from the largest residential solar market in the US suggest that after controlling for solar resource, environmental preference, and other demographic information, the local policies are an important driver in the residential solar PV market: the average solar policy stimulates a 6.0-7.9% percent increase in installed residential capacity. Further, the residential market exhibits a moderate amount of spatial autocorrelation.

Suggested Citation

  • Wiggins, Seth, 2016. "It’s All Local? How Sub-State Policies Affect Western US Residential Solar Adoption," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235667, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea16:235667
    DOI: 10.22004/ag.econ.235667
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/235667/files/AAEA%202016%20Paper.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.235667?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. MacKinnon, James G & Magee, Lonnie, 1990. "Transforming the Dependent Variable in Regression Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 31(2), pages 315-339, May.
    2. Darghouth, Naïm R. & Barbose, Galen & Wiser, Ryan, 2011. "The impact of rate design and net metering on the bill savings from distributed PV for residential customers in California," Energy Policy, Elsevier, vol. 39(9), pages 5243-5253, September.
    3. Florax, Raymond J. G. M. & Folmer, Hendrik & Rey, Sergio J., 2003. "Specification searches in spatial econometrics: the relevance of Hendry's methodology," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 557-579, September.
    4. Laura-Lucia Richter, 2013. "Social Effects in the Diffusion of solar Photovoltaic Technology in the UK," Cambridge Working Papers in Economics 1357, Faculty of Economics, University of Cambridge.
    5. Crago, Christine & Chernyakhovskiy, Ilya, 2014. "Solar PV Technology Adoption in the United States: An Empirical Investigation of State Policy Effectiveness," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169939, Agricultural and Applied Economics Association.
    6. Kwan, Calvin Lee, 2012. "Influence of local environmental, social, economic and political variables on the spatial distribution of residential solar PV arrays across the United States," Energy Policy, Elsevier, vol. 47(C), pages 332-344.
    7. Bauner, Christoph & Crago, Christine L., 2015. "Adoption of residential solar power under uncertainty: Implications for renewable energy incentives," Energy Policy, Elsevier, vol. 86(C), pages 27-35.
    8. Dong, Changgui & Wiser, Ryan, 2013. "The impact of city-level permitting processes on residential photovoltaic installation prices and development times: An empirical analysis of solar systems in California cities," Energy Policy, Elsevier, vol. 63(C), pages 531-542.
    9. Severin Borenstein, 2017. "Private Net Benefits of Residential Solar PV: The Role of Electricity Tariffs, Tax Incentives, and Rebates," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(S1), pages 85-122.
    10. Laura-Lucia Richter, 2013. "Social Effects in the Diffusion of Solar Photovoltaic Technology in the UK," Working Papers EPRG 1332, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    11. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    12. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    13. Borchers, Allison M. & Xiarchos, Irene & Beckman, Jayson, 2014. "Determinants of wind and solar energy system adoption by U.S. farms: A multilevel modeling approach," Energy Policy, Elsevier, vol. 69(C), pages 106-115.
    14. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M., 2015. "Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach," Energy Economics, Elsevier, vol. 51(C), pages 417-429.
    15. Islam, Towhidul & Meade, Nigel, 2013. "The impact of attribute preferences on adoption timing: The case of photo-voltaic (PV) solar cells for household electricity generation," Energy Policy, Elsevier, vol. 55(C), pages 521-530.
    16. Burkhardt, Jesse & Wiser, Ryan & Darghouth, Naïm & Dong, C.G. & Huneycutt, Joshua, 2015. "Exploring the impact of permitting and local regulatory processes on residential solar prices in the United States," Energy Policy, Elsevier, vol. 78(C), pages 102-112.
    17. Travis G. Coan & Mirya R. Holman, 2008. "Voting Green," Social Science Quarterly, Southwestern Social Science Association, vol. 89(5), pages 1121-1135, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. De Groote, Olivier & Pepermans, Guido & Verboven, Frank, 2016. "Heterogeneity in the adoption of photovoltaic systems in Flanders," Energy Economics, Elsevier, vol. 59(C), pages 45-57.
    2. Alipour, M. & Salim, H. & Stewart, Rodney A. & Sahin, Oz, 2020. "Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    3. Müller, Jonas & Trutnevyte, Evelina, 2020. "Spatial projections of solar PV installations at subnational level: Accuracy testing of regression models," Applied Energy, Elsevier, vol. 265(C).
    4. Jan Paul Baginski & Christoph Weber, "undated". "Coherent estimations for residential photovoltaic uptake in Germany including spatial spillover effects," EWL Working Papers 1902, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
    5. Takanobu Kosugi & Yoshiyuki Shimoda & Takayuki Tashiro, 2019. "Neighborhood influences on the diffusion of residential photovoltaic systems in Kyoto City, Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(4), pages 477-505, October.
    6. Zhang, Jianhua & Ballas, Dimitris & Liu, Xiaolong, 2023. "Neighbourhood-level spatial determinants of residential solar photovoltaic adoption in the Netherlands," Renewable Energy, Elsevier, vol. 206(C), pages 1239-1248.
    7. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M., 2015. "Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach," Energy Economics, Elsevier, vol. 51(C), pages 417-429.
    8. Ryszard Kata & Kazimierz Cyran & Sławomir Dybka & Małgorzata Lechwar & Rafał Pitera, 2021. "Economic and Social Aspects of Using Energy from PV and Solar Installations in Farmers’ Households in the Podkarpackie Region," Energies, MDPI, vol. 14(11), pages 1-21, May.
    9. Palm, Alvar & Lantz, Björn, 2020. "Information dissemination and residential solar PV adoption rates: The effect of an information campaign in Sweden," Energy Policy, Elsevier, vol. 142(C).
    10. Paul Westacott & Chiara Candelise, 2016. "A Novel Geographical Information Systems Framework to Characterize Photovoltaic Deployment in the UK: Initial Evidence," Energies, MDPI, vol. 9(1), pages 1-20, January.
    11. Moon-Hyun Kim & Tae-Hyoung Tommy Gim, 2021. "Spatial Characteristics of the Diffusion of Residential Solar Photovoltaics in Urban Areas: A Case of Seoul, South Korea," IJERPH, MDPI, vol. 18(2), pages 1-16, January.
    12. Carattini, Stefano & Gillingham, Kenneth T. & Meng, Xiangyu & Yoeli, Erez, 2022. "Peer-to-peer solar and social rewards: evidence from a field experiment," LSE Research Online Documents on Economics 117361, London School of Economics and Political Science, LSE Library.
    13. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M. & Truckell, Ian & Hart, Phil, 2021. "Energy transition at local level: Analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment," Energy Policy, Elsevier, vol. 148(PB).
    14. Sébastien Houde & Wenjun Wang, 2022. "The Incidence of the U.S.-China Solar Trade War," CER-ETH Economics working paper series 22/372, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    15. Brown, Marilyn A. & Kale, Snehal & Cha, Min-Kyeong & Chapman, Oliver, 2023. "Exploring the willingness of consumers to electrify their homes," Applied Energy, Elsevier, vol. 338(C).
    16. Fabian Scheller & Isabel Doser & Daniel Sloot & Russell McKenna & Thomas Bruckner, 2020. "Exploring the Role of Stakeholder Dynamics in Residential Photovoltaic Adoption Decisions: A Synthesis of the Literature," Energies, MDPI, vol. 13(23), pages 1-31, November.
    17. Shandelle Steadman & Anna Rita Bennato & Monica Giulietti, 2023. "From energy consumers to prosumers: the role of peer effects in the diffusion of residential microgeneration technology," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(2), pages 321-346, June.
    18. Maren Springsklee & Fabian Scheller, 2022. "Exploring non-residential technology adoption: an empirical analysis of factors associated with the adoption of photovoltaic systems by municipal authorities in Germany," Papers 2212.05281, arXiv.org.
    19. Hsu, Jenneille Hwai-Yuan, 2018. "Predictors for adoption of local solar approval processes and impact on residential solar installations in California cities," Energy Policy, Elsevier, vol. 117(C), pages 463-472.
    20. Alderete Peralta, Ali & Balta-Ozkan, Nazmiye & Longhurst, Philip, 2022. "Spatio-temporal modelling of solar photovoltaic adoption: An integrated neural networks and agent-based modelling approach," Applied Energy, Elsevier, vol. 305(C).

    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea16:235667. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.