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Something new under the sun. A spatial econometric analysis of the adoption of photovoltaic systems in Italy

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  • Pronti, A.
  • Zoboli, R.

Abstract

This paper analyses the adoption of photovoltaic systems (PV) in Italy. We employ a spatial econometric approach applied to province-level data for 2015–2021 to identify the main determinants of PV adoption and to gauge both the potential bias deriving from spatial dependence and the spillover effects affecting neighboring areas in PV diffusion. We test different spatial econometric models and different types of economic, social and demographic variables. We add new regressors to consider the role of housing market dynamics (volume of sales and price of transaction) as a possible driver of PV adoption. We find that the housing market and electricity consumption are important positive determinants of PV adoption, whereas social capital and socio-demographic indicators do not provide statistical evidence of being major drivers of PV adoption. We confirm that other economic factors, like average income, can explain PV diffusion, whereas solar irradiation does not show to play a critical role. We do not find an important role of policies on energy efficiency and renewable energy in the housing sector, but our data timeframe covers a period after the very high incentives from the ‘Conto Energia’ and, at the same time, prevents us from observing the possible effects of the ‘Superbonus 110’ introduced in 2021. Moreover, our findings indicate that spatial dependence exists between neighboring areas in PV adoption, suggesting that spatial econometric models can be robust empirical approaches for interpreting PV deployment in studies at the regional or sub-regional level.

Suggested Citation

  • Pronti, A. & Zoboli, R., 2024. "Something new under the sun. A spatial econometric analysis of the adoption of photovoltaic systems in Italy," Energy Economics, Elsevier, vol. 134(C).
    • Handle: RePEc:eee:eneeco:v:134:y:2024:i:c:s0140988324002901
    DOI: 10.1016/j.eneco.2024.107582
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    as
    1. repec:bla:jecsur:v:14:y:2000:i:5:p:629-53 is not listed on IDEAS
    2. 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.
    3. Antonelli, Marco & Desideri, Umberto, 2014. "The doping effect of Italian feed-in tariffs on the PV market," Energy Policy, Elsevier, vol. 67(C), pages 583-594.
    4. Battisti, Giuliana & Stoneman, Paul, 2003. "Inter- and intra-firm effects in the diffusion of new process technology," Research Policy, Elsevier, vol. 32(9), pages 1641-1655, October.
    5. Welsch, Heinz & Kühling, Jan, 2009. "Determinants of pro-environmental consumption: The role of reference groups and routine behavior," Ecological Economics, Elsevier, vol. 69(1), pages 166-176, November.
    6. Marcello Graziano & Kenneth Gillingham, 2015. "Spatial patterns of solar photovoltaic system adoption: The influence of neighbors and the built environment," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 815-839.
    7. Bocca, Alberto & Chiavazzo, Eliodoro & Macii, Alberto & Asinari, Pietro, 2015. "Solar energy potential assessment: An overview and a fast modeling approach with application to Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 291-296.
    8. Sven Müller & Johannes Rode, 2013. "The adoption of photovoltaic systems in Wiesbaden, Germany," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(5), pages 519-535, July.
    9. Fei Wang & Zengqiang Mi & Shi Su & Hongshan Zhao, 2012. "Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters," Energies, MDPI, vol. 5(5), pages 1-16, May.
    10. Palm, A., 2020. "Early adopters and their motives: Differences between earlier and later adopters of residential solar photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    11. Oleg Kucher & Donald Lacombe & Sean T. Davidson, 2021. "The Residential Solar PV in the Mid-Atlantic: A Spatial Panel Approach," International Regional Science Review, , vol. 44(2), pages 262-288, March.
    12. Jacksohn, Anke & Grösche, Peter & Rehdanz, Katrin & Schröder, Carsten, 2019. "Drivers of renewable technology adoption in the household sector," Energy Economics, Elsevier, vol. 81(C), pages 216-226.
    13. Orioli, Aldo & Di Gangi, Alessandra, 2015. "The recent change in the Italian policies for photovoltaics: Effects on the payback period and levelized cost of electricity of grid-connected photovoltaic systems installed in urban contexts," Energy, Elsevier, vol. 93(P2), pages 1989-2005.
    14. 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.
    15. Bourcet, Clémence, 2020. "Empirical determinants of renewable energy deployment: A systematic literature review," Energy Economics, Elsevier, vol. 85(C).
    16. Federico Belotti & Gordon Hughes & Andrea Piano Mortari, 2017. "Spatial panel-data models using Stata," Stata Journal, StataCorp LP, vol. 17(1), pages 139-180, March.
    17. Martin Paldam, 2000. "Social Capital: One or Many? Definition and Measurement," Journal of Economic Surveys, Wiley Blackwell, vol. 14(5), pages 629-653, December.
    18. Rode, Johannes & Weber, Alexander, 2016. "Does localized imitation drive technology adoption? A case study on rooftop photovoltaic systems in Germany," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 38-48.
    19. Zhao, Jing & Zhao, Ziru & Zhang, Huan, 2021. "The impact of growth, energy and financial development on environmental pollution in China: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 93(C).
    20. Rogna, Marco, 2020. "A first-phase screening method for site selection of large-scale solar plants with an application to Italy," Land Use Policy, Elsevier, vol. 99(C).
    21. Heiskanen, Eva & Matschoss, Kaisa, 2017. "Understanding the uneven diffusion of building-scale renewable energy systems: A review of household, local and country level factors in diverse European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 580-591.
    22. Elena Collino & Dario Ronzio, 2021. "Exploitation of a New Short-Term Multimodel Photovoltaic Power Forecasting Method in the Very Short-Term Horizon to Derive a Multi-Time Scale Forecasting System," Energies, MDPI, vol. 14(3), pages 1-30, February.
    23. David M. Drukker & Hua Peng & Ingmar Prucha & Rafal Raciborski, 2013. "Creating and managing spatial-weighting matrices with the spmat command," Stata Journal, StataCorp LP, vol. 13(2), pages 242-286, June.
    24. Daniel A. Griffith, 2019. "Negative Spatial Autocorrelation: One of the Most Neglected Concepts in Spatial Statistics," Stats, MDPI, vol. 2(3), pages 1-28, August.
    25. Rode, Johannes & Weber, Alexander, 2016. "Does localized imitation drive technology adoption? A case study on rooftop photovoltaic systems in Germany," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 38-48.
    26. Alipour, M. & Salim, H. & Stewart, Rodney A. & Sahin, Oz, 2021. "Residential solar photovoltaic adoption behaviour: End-to-end review of theories, methods and approaches," Renewable Energy, Elsevier, vol. 170(C), pages 471-486.
    27. 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).
    28. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    29. 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.
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