IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v67y2014icp832-843.html
   My bibliography  Save this article

Evaluation of property tax bonus to promote solar thermal systems in Andalusia (Spain)

Author

Listed:
  • Sánchez-Braza, Antonio
  • Pablo-Romero, María del P.

Abstract

This paper evaluates the effects of a property tax bonus to promote the installation of solar–thermal energy systems in buildings in Andalusia (southern Spain). The propensity score matching methodology is used. The treatment group consists of municipalities of Andalusia that established property tax bonuses in their municipalities in 2010. The control group consists of municipalities that did not. The response variable measures the number of new square meters of solar thermal systems installed in 2010. The analysis leads to the conclusion that municipalities that established a property tax bonus had installed, on average, 102.245 to 122.389 square meters more. These results indicate that the percentage increase in squares meters installed in municipalities which adopted the tax bonus promotion ranged from 70.74% to 98.38%. These percentages were lower for rural municipalities (49.00% to 77.06%).

Suggested Citation

  • Sánchez-Braza, Antonio & Pablo-Romero, María del P., 2014. "Evaluation of property tax bonus to promote solar thermal systems in Andalusia (Spain)," Energy Policy, Elsevier, vol. 67(C), pages 832-843.
  • Handle: RePEc:eee:enepol:v:67:y:2014:i:c:p:832-843
    DOI: 10.1016/j.enpol.2013.12.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421513012482
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2013.12.004?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. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
    3. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 36(1), pages 79-101, March.
    4. Jenner, Steffen & Groba, Felix & Indvik, Joe, 2013. "Assessing the strength and effectiveness of renewable electricity feed-in tariffs in European Union countries," Energy Policy, Elsevier, vol. 52(C), pages 385-401.
    5. Solangi, K.H. & Islam, M.R. & Saidur, R. & Rahim, N.A. & Fayaz, H., 2011. "A review on global solar energy policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 2149-2163, May.
    6. Hitaj, Claudia, 2013. "Wind power development in the United States," Journal of Environmental Economics and Management, Elsevier, vol. 65(3), pages 394-410.
    7. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    8. Thomas P. Lyon & Haitao Yin, 2010. "Why Do States Adopt Renewable Portfolio Standards?: An Empirical Investigation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 133-158.
    9. Menz, Fredric C. & Vachon, Stephan, 2006. "The effectiveness of different policy regimes for promoting wind power: Experiences from the states," Energy Policy, Elsevier, vol. 34(14), pages 1786-1796, September.
    10. Zhang, Xiaoling & Shen, Liyin & Chan, Sum Yee, 2012. "The diffusion of solar energy use in HK: What are the barriers?," Energy Policy, Elsevier, vol. 41(C), pages 241-249.
    11. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    12. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    13. Carley, Sanya, 2009. "State renewable energy electricity policies: An empirical evaluation of effectiveness," Energy Policy, Elsevier, vol. 37(8), pages 3071-3081, August.
    14. Wang, Guihua & Bai, Song & Ogden, Joan M., 2009. "Identifying Contributions of On-road Motor Vehicles to Urban Air Pollution Using Travel Demand Model Data," Institute of Transportation Studies, Working Paper Series qt2700q8x1, Institute of Transportation Studies, UC Davis.
    15. Accetturo, Antonio & de Blasio, Guido, 2012. "Policies for local development: An evaluation of Italy's “Patti Territoriali”," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 15-26.
    16. 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.
    17. Greenstone, Michael, 2004. "Did the Clean Air Act cause the remarkable decline in sulfur dioxide concentrations?," Journal of Environmental Economics and Management, Elsevier, vol. 47(3), pages 585-611, May.
    18. Jinyong Hahn, 1998. "On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects," Econometrica, Econometric Society, vol. 66(2), pages 315-332, March.
    19. Borge, Lars-Erik & Rattsø, Jørn, 2008. "Property taxation as incentive for cost control: Empirical evidence for utility services in Norway," European Economic Review, Elsevier, vol. 52(6), pages 1035-1054, August.
    20. Sarzynski, Andrea & Larrieu, Jeremy & Shrimali, Gireesh, 2012. "The impact of state financial incentives on market deployment of solar technology," Energy Policy, Elsevier, vol. 46(C), pages 550-557.
    21. Marques, António C. & Fuinhas, José A. & Pires Manso, J.R., 2010. "Motivations driving renewable energy in European countries: A panel data approach," Energy Policy, Elsevier, vol. 38(11), pages 6877-6885, November.
    22. List John A. & Millimet Daniel L & McHone Warren, 2004. "The Unintended Disincentive in the Clean Air Act," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 3(2), pages 1-28, February.
    23. Towe, Charles A., 2010. "Testing the Effect of Neighboring Open Space on Development Using Propensity Score Matching," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61512, Agricultural and Applied Economics Association.
    24. Pablo-Romero, M.P. & Sánchez-Braza, A. & Pérez, M., 2013. "Incentives to promote solar thermal energy in Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 198-208.
    25. Gan, Lin & Eskeland, Gunnar S. & Kolshus, Hans H., 2007. "Green electricity market development: Lessons from Europe and the US," Energy Policy, Elsevier, vol. 35(1), pages 144-155, January.
    26. Shrimali, Gireesh & Kniefel, Joshua, 2011. "Are government policies effective in promoting deployment of renewable electricity resources?," Energy Policy, Elsevier, vol. 39(9), pages 4726-4741, September.
    27. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    28. La Gennusa, Maria & Lascari, Giovanni & Rizzo, Gianfranco & Scaccianoce, Gianluca & Sorrentino, Giancarlo, 2011. "A model for predicting the potential diffusion of solar energy systems in complex urban environments," Energy Policy, Elsevier, vol. 39(9), pages 5335-5343, September.
    29. Woersdorfer, Julia Sophie & Kaus, Wolfhard, 2011. "Will nonowners follow pioneer consumers in the adoption of solar thermal systems? Empirical evidence for northwestern Germany," Ecological Economics, Elsevier, vol. 70(12), pages 2282-2291.
    30. Lapan, Harvey & Moschini, GianCarlo, 2012. "Second-best biofuel policies and the welfare effects of quantity mandates and subsidies," Journal of Environmental Economics and Management, Elsevier, vol. 63(2), pages 224-241.
    31. Bürger, Veit & Klinski, Stefan & Lehr, Ulrike & Leprich, Uwe & Nast, Michael & Ragwitz, Mario, 2008. "Policies to support renewable energies in the heat market," Energy Policy, Elsevier, vol. 36(8), pages 3140-3149, August.
    32. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    33. Dong, C.G., 2012. "Feed-in tariff vs. renewable portfolio standard: An empirical test of their relative effectiveness in promoting wind capacity development," Energy Policy, Elsevier, vol. 42(C), pages 476-485.
    34. Charles Blessings Laurence Jumbe & Arild Angelsen, 2006. "Do the Poor Benefit from Devolution Policies? Evidence from Malawi’s Forest Co-Management Program," Land Economics, University of Wisconsin Press, vol. 82(4), pages 562-581.
    35. Sawyer, Stephen W. & Friedlander, Susan C., 1983. "State renewable energy tax incentives: monetary values, correlations, policy questions," Energy Policy, Elsevier, vol. 11(3), pages 272-277, September.
    36. Tsoutsos, Theocharis & Frantzeskaki, Niki & Gekas, Vassilis, 2005. "Environmental impacts from the solar energy technologies," Energy Policy, Elsevier, vol. 33(3), pages 289-296, February.
    37. Daniel C. Matisoff, 2008. "The Adoption of State Climate Change Policies and Renewable Portfolio Standards: Regional Diffusion or Internal Determinants?," Review of Policy Research, Policy Studies Organization, vol. 25(6), pages 527-546, December.
    38. Cansino, José M. & Pablo-Romero, María del P. & Román, Rocío & Yñiguez, Rocío, 2010. "Tax incentives to promote green electricity: An overview of EU-27 countries," Energy Policy, Elsevier, vol. 38(10), pages 6000-6008, October.
    39. Xiangping Liu & Lori Lynch, 2011. "Do Agricultural Land Preservation Programs Reduce Farmland Loss? Evidence from a Propensity Score Matching Estimator," Land Economics, University of Wisconsin Press, vol. 87(2), pages 183-201.
    40. Cansino, José M. & Pablo-Romero, María del P. & Román, Rocío & Yñiguez, Rocío, 2011. "Promoting renewable energy sources for heating and cooling in EU-27 countries," Energy Policy, Elsevier, vol. 39(6), pages 3803-3812, June.
    41. Mills, Bradford F. & Schleich, Joachim, 2009. "Profits or preferences? Assessing the adoption of residential solar thermal technologies," Energy Policy, Elsevier, vol. 37(10), pages 4145-4154, October.
    42. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294.
    43. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    44. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    45. Millard-Ball, Adam, 2012. "Do city climate plans reduce emissions?," Journal of Urban Economics, Elsevier, vol. 71(3), pages 289-311.
    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. Villca-Pozo, Milenka & Gonzales-Bustos, Juan Pablo, 2019. "Tax incentives to modernize the energy efficiency of the housing in Spain," Energy Policy, Elsevier, vol. 128(C), pages 530-538.
    2. Baiardi, Donatella, 2020. "Do sustainable energy policies matter for reducing air pollution?," Energy Policy, Elsevier, vol. 140(C).
    3. Pablo-Romero, M.P. & Cruz, L. & Barata, E., 2017. "Testing the transport energy-environmental Kuznets curve hypothesis in the EU27 countries," Energy Economics, Elsevier, vol. 62(C), pages 257-269.
    4. Donatella Baiardi & Maria Gaia Soana, 2021. "Macroeconomic and microeconomic environmental and energy policies: are they effective for improving the environmental performance of listed companies?," Working Papers 478, University of Milano-Bicocca, Department of Economics, revised Aug 2021.
    5. Pablo-Romero, María del P. & Pozo-Barajas, Rafael & Sánchez-Braza, Antonio, 2015. "Understanding local CO2 emissions reduction targets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 347-355.
    6. Donatella Baiardi, 2020. "Do sustainable energy policies matter for reducing greenhouse gas emissions?," Working Papers 425, University of Milano-Bicocca, Department of Economics, revised Jan 2020.
    7. Baiardi, Donatella, 2019. "Do sustainable energy policies matter for reducing greenhouse gas emissions?," EconStor Preprints 202077, ZBW - Leibniz Information Centre for Economics.
    8. repec:gam:jsusta:v:7:y:2015:i:12:p:16548-16560:d:60646 is not listed on IDEAS
    9. Castillo-Manzano, José I. & López-Valpuesta, Lourdes & Sánchez-Braza, Antonio, 2018. "When the mall is in the airport: Measuring the effect of the airport mall on passengers’ consumer behavior," Journal of Air Transport Management, Elsevier, vol. 72(C), pages 32-38.
    10. Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2017. "Residential energy environmental Kuznets curve in the EU-28," Energy, Elsevier, vol. 125(C), pages 44-54.
    11. Donatella Baiardi & Maria Gaia Soana, 2021. "Macroeconomic and microeconomic environmental and energy policies: are they effective for improving environmental performance of listed companies?," Working Paper series 21-17, Rimini Centre for Economic Analysis.
    12. Marmolejo-Duarte, Carlos & Onecha-Pérez, Belén, 2021. "The spatial uneven difussion of energy-efficiency transparency policy. An analysis of the multi-family market in Barcelona," Energy Policy, Elsevier, vol. 156(C).
    13. Sánchez-Braza, Antonio & Cansino, José M. & Lerma, Enrique, 2014. "Main drivers for local tax incentives to promote electric vehicles: The Spanish case," Transport Policy, Elsevier, vol. 36(C), pages 1-9.
    14. Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2015. "Productive energy use and economic growth: Energy, physical and human capital relationships," Energy Economics, Elsevier, vol. 49(C), pages 420-429.
    15. Huiming Zhang & Yu Zheng & Dequn Zhou & Peifeng Zhu, 2015. "Which Subsidy Mode Improves the Financial Performance of Renewable Energy Firms? A Panel Data Analysis of Wind and Solar Energy Companies between 2009 and 2014," Sustainability, MDPI, vol. 7(12), pages 1-13, December.
    16. Fan, Lurong & Xu, Jiuping, 2020. "Authority–enterprise equilibrium based mixed subsidy mechanism for carbon reduction and energy utilization in the coalbed methane industry," Energy Policy, Elsevier, vol. 147(C).
    17. Pablo-Romero, María del P. & Pozo-Barajas, Rafael & Sánchez-Braza, Antonio, 2016. "Analyzing the effects of Energy Action Plans on electricity consumption in Covenant of Mayors signatory municipalities in Andalusia," Energy Policy, Elsevier, vol. 99(C), pages 12-26.

    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. Cansino, José M. & Lopez-Melendo, Jaime & Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2013. "An economic evaluation of public programs for internationalization: The case of the Diagnostic program in Spain," Evaluation and Program Planning, Elsevier, vol. 41(C), pages 38-46.
    2. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    3. Kahia, Montassar & Ben Aissa, Mohamed Safouane & kadria, Mohamed, 2014. "Do renewable energy policies promote economic growth? A nonparametric approach," MPRA Paper 80751, University Library of Munich, Germany.
    4. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    5. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    6. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    7. Gosens, Jorrit & Hedenus, Fredrik & Sandén, Björn A., 2017. "Faster market growth of wind and PV in late adopters due to global experience build-up," Energy, Elsevier, vol. 131(C), pages 267-278.
    8. Consolación Quintana-Rojo & Fernando-Evaristo Callejas-Albiñana & Miguel-Ángel Tarancón & Isabel Martínez-Rodríguez, 2020. "Econometric Studies on the Development of Renewable Energy Sources to Support the European Union 2020–2030 Climate and Energy Framework: A Critical Appraisal," Sustainability, MDPI, vol. 12(12), pages 1-26, June.
    9. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    10. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    11. Nicolini, Marcella & Tavoni, Massimo, 2017. "Are renewable energy subsidies effective? Evidence from Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 412-423.
    12. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    13. Ákos Hamburger & Gábor Harangozó, 2018. "Factors Affecting the Evolution of Renewable Electricity Generating Capacities: A Panel Data Analysis of European Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 8(5), pages 161-172.
    14. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    15. Basher, Syed Abul & Masini, Andrea & Aflaki, Sam, 2015. "Time series properties of the renewable energy diffusion process: Implications for energy policy design and assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1680-1692.
    16. Ferraro, Paul J. & Miranda, Juan José, 2014. "The performance of non-experimental designs in the evaluation of environmental programs: A design-replication study using a large-scale randomized experiment as a benchmark," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 344-365.
    17. Daniel J Pastor, 2020. "The effects of renewables portfolio standards on renewable energy generation," Economics Bulletin, AccessEcon, vol. 40(3), pages 2121-2133.
    18. Gireesh Shrimali & Steffen Jenner & Felix Groba & Gabriel Chan & Joe Indvik, 2012. "Have State Renewable Portfolio Standards Really Worked?: Synthesizing Past Policy Assessments," Discussion Papers of DIW Berlin 1258, DIW Berlin, German Institute for Economic Research.
    19. Steven Lehrer & Gregory Kordas, 2013. "Matching using semiparametric propensity scores," Empirical Economics, Springer, vol. 44(1), pages 13-45, February.
    20. Polzin, Friedemann & Egli, Florian & Steffen, Bjarne & Schmidt, Tobias S., 2019. "How do policies mobilize private finance for renewable energy?—A systematic review with an investor perspective," Applied Energy, Elsevier, vol. 236(C), pages 1249-1268.

    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:enepol:v:67:y:2014:i:c:p:832-843. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/enpol .

    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/enpol .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.