IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v112y2022ics0140988322003292.html
   My bibliography  Save this article

How prices guide investment decisions under net purchasing — An empirical analysis on the impact of network tariffs on residential PV

Author

Listed:
  • Arnold, Fabian
  • Jeddi, Samir
  • Sitzmann, Amelie

Abstract

Within the regulation of net purchasing, investment incentives for residential PV depend on the remuneration for grid feed-in and the consumption costs that households can save by self-consumption. Network tariffs constitute a substantial part of these consumption costs. We use postcode-level data for Germany between 2009 and 2017 and exploit the regional heterogeneity of network tariffs to investigate whether they encourage to invest in PV installations and evaluate how the nonlinear tariff structure impacts residential PV adoption. Our results show that network tariffs do impact PV adoption. The effect has increased in recent years when self-consumption has become financially more attractive, and the results confirm the expectation that PV investments are driven by the volumetric tariff. Policy reforms that alter the share between the price components are, thus, likely to affect residential PV adoption. Further, with self-consumption becoming a key incentive, price signals can effectively support the coordination of electricity demand and supply in Germany.

Suggested Citation

  • Arnold, Fabian & Jeddi, Samir & Sitzmann, Amelie, 2022. "How prices guide investment decisions under net purchasing — An empirical analysis on the impact of network tariffs on residential PV," Energy Economics, Elsevier, vol. 112(C).
  • Handle: RePEc:eee:eneeco:v:112:y:2022:i:c:s0140988322003292
    DOI: 10.1016/j.eneco.2022.106177
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988322003292
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2022.106177?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Germeshausen, Robert, 2016. "Effects of Attribute-Based Regulation on Technology Adoption - The Case of Feed-In Tariffs for Solar Photovoltaic," VfS Annual Conference 2016 (Augsburg): Demographic Change 145712, Verein für Socialpolitik / German Economic Association.
    2. Axel Gautier & Julien Jacqmin & Jean-Christophe Poudou, 2018. "The prosumers and the grid," Journal of Regulatory Economics, Springer, vol. 53(1), pages 100-126, February.
    3. Selvakkumaran, Sujeetha & Ahlgren, Erik O., 2019. "Determining the factors of household energy transitions: A multi-domain study," Technology in Society, Elsevier, vol. 57(C), pages 54-75.
    4. Günther, Claudia & Schill, Wolf-Peter & Zerrahn, Alexander, 2021. "Prosumage of solar electricity: Tariff design, capacity investments, and power sector effects," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 152.
    5. Jonathan E. Hughes & Molly Podolefsky, 2015. "Getting Green with Solar Subsidies: Evidence from the California Solar Initiative," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(2), pages 235-275.
    6. James B. Bushnell & Erin T. Mansur, 2005. "Consumption Under Noisy Price Signals: A Study Of Electricity Retail Rate Deregulation In San Diego," Journal of Industrial Economics, Wiley Blackwell, vol. 53(4), pages 493-513, December.
    7. Mummolo, Jonathan & Peterson, Erik, 2018. "Improving the Interpretation of Fixed Effects Regression Results," Political Science Research and Methods, Cambridge University Press, vol. 6(4), pages 829-835, October.
    8. ITO Koichiro & ZHANG Shuang, 2020. "Reforming Inefficient Energy Pricing: Evidence from China," Discussion papers 20062, Research Institute of Economy, Trade and Industry (RIETI).
    9. Fett, Daniel & Fraunholz, Christoph & Keles, Dogan, 2021. "Diffusion and system impact of residential battery storage under different regulatory settings," Energy Policy, Elsevier, vol. 158(C).
    10. Klein, Martin & Deissenroth, Marc, 2017. "When do households invest in solar photovoltaics? An application of prospect theory," Energy Policy, Elsevier, vol. 109(C), pages 270-278.
    11. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    12. 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).
    13. Olivier De Groote & Frank Verboven, 2019. "Subsidies and Time Discounting in New Technology Adoption: Evidence from Solar Photovoltaic Systems," American Economic Review, American Economic Association, vol. 109(6), pages 2137-2172, June.
    14. 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.
    15. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, Decembrie.
    16. Axel Gautier & Julien Jacqmin, 2020. "PV adoption: the role of distribution tariffs under net metering," Journal of Regulatory Economics, Springer, vol. 57(1), pages 53-73, February.
    17. Best, Rohan & Burke, Paul J. & Nishitateno, Shuhei, 2019. "Evaluating the effectiveness of Australia's Small-scale Renewable Energy Scheme for rooftop solar," Energy Economics, Elsevier, vol. 84(C).
    18. Hinz, Fabian & Schmidt, Matthew & Möst, Dominik, 2018. "Regional distribution effects of different electricity network tariff designs with a distributed generation structure: The case of Germany," Energy Policy, Elsevier, vol. 113(C), pages 97-111.
    19. 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.
    20. Blake Shaffer, 2020. "Misunderstanding Nonlinear Prices: Evidence from a Natural Experiment on Residential Electricity Demand," American Economic Journal: Economic Policy, American Economic Association, vol. 12(3), pages 433-461, August.
    21. Kaschub, Thomas & Jochem, Patrick & Fichtner, Wolf, 2016. "Solar energy storage in German households: profitability, load changes and flexibility," Energy Policy, Elsevier, vol. 98(C), pages 520-532.
    22. Frondel, Manuel & Kussel, Gerhard & Sommer, Stephan, 2019. "Heterogeneity in the price response of residential electricity demand: A dynamic approach for Germany," Resource and Energy Economics, Elsevier, vol. 57(C), pages 119-134.
    23. Just, Lisa & Wetzel, Heike, 2020. "Distributed Generation and Cost Efficiency of German Electricity Distribution Network Operators," EWI Working Papers 2020-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    24. 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.
    25. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    26. Crago, Christine Lasco & Chernyakhovskiy, Ilya, 2017. "Are policy incentives for solar power effective? Evidence from residential installations in the Northeast," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 132-151.
    27. Jean-Christophe Poudou & Axel Gautier & Julien Jacqmin, 2018. "The prosumers and the grid," Post-Print hal-01810028, HAL.
    28. 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.
    29. Fett, Daniel & Fraunholz, Christoph & Keles, Dogan, 2021. "Diffusion and system impact of residential battery storage under different regulatory settings," Working Paper Series in Production and Energy 55, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    30. 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.
    31. Sahari, Anna, 2019. "Electricity prices and consumers’ long-term technology choices: Evidence from heating investments," European Economic Review, Elsevier, vol. 114(C), pages 19-53.
    32. Gutsche, Gunnar & Wetzel, Heike & Ziegler, Andreas, 2020. "How relevant are economic preferences and personality traits for individual sustainable investment behavior? A framed field experiment," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224542, Verein für Socialpolitik / German Economic Association.
    33. Lisa Schlesewsky & Simon Winter, 2018. "Inequalities in Energy Transition: The Case of Network Charges in Germany," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 102-113.
    34. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    35. Ossenbrink, Jan, 2017. "How feed-in remuneration design shapes residential PV prosumer paradigms," Energy Policy, Elsevier, vol. 108(C), pages 239-255.
    36. 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.
    37. Jägemann, Cosima & Hagspiel, Simeon & Lindenberger, Dietmar, 2013. "The Economic Inefficiency of Grid Parity: The Case of German Photovoltaics," EWI Working Papers 2013-19, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Geßner, Daniel, 2023. "Performance of Renewable Energy Policies - Evidence from Germany's Transition to Auctions," W.E.P. - Würzburg Economic Papers 105, University of Würzburg, Department of Economics.

    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. Axel Gautier & Julien Jacqmin, 2020. "PV adoption: the role of distribution tariffs under net metering," Journal of Regulatory Economics, Springer, vol. 57(1), pages 53-73, February.
    2. Bruno Moreno Rodrigo de Freitas, 2020. "Quantifying the effect of regulated volumetric electriciy tariffs on residential PV adoption under net metering scheme," Working papers of CATT hal-02976874, HAL.
    3. Bruno Moreno Rodrigo de Freitas, 2020. "Quantifying the effect of regulated volumetric electriciy tariffs on residential PV adoption under net metering scheme," Working Papers hal-02976874, HAL.
    4. Germeshausen, Robert, 2016. "Effects of Attribute-Based Regulation on Technology Adoption - The Case of Feed-In Tariffs for Solar Photovoltaic," VfS Annual Conference 2016 (Augsburg): Demographic Change 145712, Verein für Socialpolitik / German Economic Association.
    5. Best, Rohan & Chareunsy, Andrea, 2022. "The impact of income on household solar panel uptake: Exploring diverse results using Australian data," Energy Economics, Elsevier, vol. 112(C).
    6. Olivier De Groote & Axel Gautier & Frank Verboven, 2020. "The political economic of financing climate policy : evidence from the solar PV subsidy programs," Working Paper Research 389, National Bank of Belgium.
    7. Best, Rohan & Burke, Paul J., 2023. "Small-scale solar panel adoption by the non-residential sector: The effects of national and targeted policies in Australia," Economic Modelling, Elsevier, vol. 120(C).
    8. Paul Simshauser & Tim Nelson & Joel Gilmore, 2022. "The sunshine state: implications from mass rooftop solar PV take-up rates in Queensland," Working Papers EPRG2219, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    9. Shimada, Hideki & Honda, Tomonori, 2022. "What drives households’ choices of residential solar photovoltaic capacity?," Energy Policy, Elsevier, vol. 168(C).
    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. Aniello, Gianmarco & Bertsch, Valentin, 2023. "Shaping the energy transition in the residential sector: Regulatory incentives for aligning household and system perspectives," Applied Energy, Elsevier, vol. 333(C).
    12. Esplin, Ryan & Nelson, Tim, 2022. "Redirecting solar feed in tariffs to residential battery storage: Would it be worth it?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 373-389.
    13. Van Opstal, Wim & Smeets, Anse, 2023. "When do circular business models resolve barriers to residential solar PV adoption? Evidence from survey data in flanders," Energy Policy, Elsevier, vol. 182(C).
    14. Stefan Lamp, 2023. "Sunspots That Matter: The Effect of Weather on Solar Technology Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1179-1219, April.
    15. 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.
    16. 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.
    17. Boccard, Nicolas & Gautier, Axel, 2021. "Solar rebound: The unintended consequences of subsidies," Energy Economics, Elsevier, vol. 100(C).
    18. 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).
    19. Best, Rohan & Li, Han & Trück, Stefan & Truong, Chi, 2021. "Actual uptake of home batteries: The key roles of capital and policy," Energy Policy, Elsevier, vol. 151(C).
    20. Candas, Soner & Siala, Kais & Hamacher, Thomas, 2019. "Sociodynamic modeling of small-scale PV adoption and insights on future expansion without feed-in tariffs," Energy Policy, Elsevier, vol. 125(C), pages 521-536.

    More about this item

    Keywords

    Network tariffs; PV investments; Self-consumption; Price perception; Panel data; Prosumer; Non-linear prices;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

    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:eee:eneeco:v:112:y:2022:i:c:s0140988322003292. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.