IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v87y2010i1p185-190.html
   My bibliography  Save this article

Factors impacting district heating companies' decision to provide small house customers with heat

Author

Listed:
  • Lygnerud, Kristina
  • Peltola-Ojala, Päivi

Abstract

District heating companies' efficiency of providing district heating to small houses in Finland and Sweden is studied. The method used is Data Envelopment Analysis (DEA). The results indicate that Finnish companies, overall, are more efficient when offering district heat to small house customers. In Finland, price increases demand and impacts district heating company efficiency the most. The lower price level in Finland, compared to Sweden, might be a reflection of competition between different heating goods. In Sweden, network size and company size (large companies are more efficient in providing small houses with heat than small ones) drive the efficiency of small house district heating.

Suggested Citation

  • Lygnerud, Kristina & Peltola-Ojala, Päivi, 2010. "Factors impacting district heating companies' decision to provide small house customers with heat," Applied Energy, Elsevier, vol. 87(1), pages 185-190, January.
    • Handle: RePEc:eee:appene:v:87:y:2010:i:1:p:185-190
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(09)00203-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Bagdadioglu, Necmiddin & Waddams Price, Catherine M. & Weyman-Jones, Thomas G., 1996. "Efficiency and ownership in electricity distribution: A non-parametric model of the Turkish experience," Energy Economics, Elsevier, vol. 18(1-2), pages 1-23, April.
    2. Huang, Zhimin & Li, Susan X., 1996. "Dominance stochastic models in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 95(2), pages 390-403, December.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Raczka, Jan, 2001. "Explaining the performance of heat plants in Poland," Energy Economics, Elsevier, vol. 23(4), pages 355-370, July.
    5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    6. Nilsson, Stefan Forsaeus & Reidhav, Charlotte & Lygnerud, Kristina & Werner, Sven, 2008. "Sparse district-heating in Sweden," Applied Energy, Elsevier, vol. 85(7), pages 555-564, July.
    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. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach," Applied Energy, Elsevier, vol. 88(11), pages 3765-3772.
    2. Möller, Bernd & Lund, Henrik, 2010. "Conversion of individual natural gas to district heating: Geographical studies of supply costs and consequences for the Danish energy system," Applied Energy, Elsevier, vol. 87(6), pages 1846-1857, June.
    3. Werner, Sven, 2017. "District heating and cooling in Sweden," Energy, Elsevier, vol. 126(C), pages 419-429.
    4. Surakiat PARICHATNON & Kamonthip MAICHUM & Ke-Chung PENG, 2018. "Measuring technical efficiency of Thai rubber production using the three-stage data envelopment analysis," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(5), pages 227-240.
    5. Park, Sun-Young & Lee, Kyoung-Sil & Yoo, Seung-Hoon, 2016. "Economies of scale in the Korean district heating system: A variable cost function approach," Energy Policy, Elsevier, vol. 88(C), pages 197-203.
    6. Sperling, Karl & Möller, Bernd, 2012. "End-use energy savings and district heating expansion in a local renewable energy system – A short-term perspective," Applied Energy, Elsevier, vol. 92(C), pages 831-842.
    7. Pažėraitė, Aušra & Lekavičius, Vidas & Gatautis, Ramūnas, 2022. "District heating system as the infrastructure for competition among producers in the heat market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    8. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Mohammadi, Ali, 2011. "Optimization of energy consumption and input costs for apple production in Iran using data envelopment analysis," Energy, Elsevier, vol. 36(2), pages 909-916.
    9. Mohammadi, Ali & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Mousavi Avval, Seyed Hashem & Rafiee, Hamed, 2011. "Energy efficiency improvement and input cost saving in kiwifruit production using Data Envelopment Analysis approach," Renewable Energy, Elsevier, vol. 36(9), pages 2573-2579.
    10. Magnusson, Dick, 2012. "Swedish district heating—A system in stagnation: Current and future trends in the district heating sector," Energy Policy, Elsevier, vol. 48(C), pages 449-459.
    11. Janis Edmunds Daugavietis & Raimonda Soloha & Elina Dace & Jelena Ziemele, 2022. "A Comparison of Multi-Criteria Decision Analysis Methods for Sustainability Assessment of District Heating Systems," Energies, MDPI, vol. 15(7), pages 1-23, March.
    12. Nima Monghasemi & Amir Vadiee & Konstantinos Kyprianidis & Elaheh Jalilzadehazhari, 2023. "Rank-Based Assessment of Grid-Connected Rooftop Solar Panel Deployments Considering Scenarios for a Postponed Installation," Energies, MDPI, vol. 16(21), pages 1-16, October.
    13. Rodríguez, R. & Bello, V.G. & Díaz-Aguado, M.B., 2017. "Application of eco-efficiency in a coal-burning power plant benefitting both the environment and citizens: Design of a ‘city water heating’ system," Applied Energy, Elsevier, vol. 189(C), pages 789-799.

    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. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    2. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    3. Zhimin Huang & Waiman Cheung & Huiwen Wang, 2006. "Cone dominance and efficiency in DEA," Annals of Operations Research, Springer, vol. 145(1), pages 89-103, July.
    4. Wai‐Peng Wong & Qiang Deng & Ming-Lang Tseng & Loo‐Hay Lee & Chee‐Wooi Hooy, 2014. "A Stochastic Setting To Bank Financial Performance For Refining Efficiency Estimates," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(4), pages 225-245, October.
    5. Ertürk, Mehmet & Türüt-AsIk, Serap, 2011. "Efficiency analysis of Turkish natural gas distribution companies by using data envelopment analysis method," Energy Policy, Elsevier, vol. 39(3), pages 1426-1438, March.
    6. Chen, Tser-yieth, 2002. "An assessment of technical efficiency and cross-efficiency in Taiwan's electricity distribution sector," European Journal of Operational Research, Elsevier, vol. 137(2), pages 421-433, March.
    7. Bozec, Richard & Dia, Mohamed, 2007. "Board structure and firm technical efficiency: Evidence from Canadian state-owned enterprises," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1734-1750, March.
    8. Li, Susan X., 1998. "Stochastic models and variable returns to scales in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 104(3), pages 532-548, February.
    9. Halil İbrahim KESKİN & Hakan ÖNDES, 2020. "Measuring the Efficiency of Selected European Football Clubs: DEA and Panel Tobit Model," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(43).
    10. Yongjun Li & Xiao Shi & Min Yang & Liang Liang, 2017. "Variable selection in data envelopment analysis via Akaike’s information criteria," Annals of Operations Research, Springer, vol. 253(1), pages 453-476, June.
    11. Lynes, Melissa & Brewer, Brady & Featherstone, Allen, 2016. "Greenhouse Gas Emissions Effect on Cost Efficiencies of U.S. Electric Power Plants," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235890, Agricultural and Applied Economics Association.
    12. Zhimin Huang & Susan Li, 2001. "Stochastic DEA Models With Different Types of Input-Output Disturbances," Journal of Productivity Analysis, Springer, vol. 15(2), pages 95-113, March.
    13. Xiaoying Guo & Wei Wei & Yang Li & Lei-Ya Wang, 2019. "A Study of Different Types of Air Pollutants on the Efficiency of China’s Hotel Industry," IJERPH, MDPI, vol. 16(22), pages 1-13, November.
    14. Mehmet Cahit GÜRAN & Emine AYRANCI, 2019. "Efficiency Changes in Higher Education in OECD Countries: Implementation of Malmquist Total Factor Productivity Index for 2000 and 2012 PeriodAbstract: This study analyzes the total factor productivit," Sosyoekonomi Journal, Sosyoekonomi Society, issue 27(41).
    15. Alireza Amirteimoori & Biresh K. Sahoo & Saber Mehdizadeh, 2023. "Data envelopment analysis for scale elasticity measurement in the stochastic case: with an application to Indian banking," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-36, December.
    16. Pereira de Souza, Marcus Vinicius & Souza, Reinaldo C. & Pessanha, José Francisco M. & da Costa Oliveira, Carlos Henrique & Diallo, Madiagne, 2014. "An application of data envelopment analysis to evaluate the efficiency level of the operational cost of Brazilian electricity distribution utilities," Socio-Economic Planning Sciences, Elsevier, vol. 48(3), pages 169-174.
    17. Uri, Noel D., 2001. "Changing productive efficiency in telecommunications in the United States," International Journal of Production Economics, Elsevier, vol. 72(2), pages 121-137, July.
    18. William Cooper & Zhimin Huang & Vedran Lelas & Susan Li & Ole Olesen, 1998. "Chance Constrained Programming Formulations for Stochastic Characterizations of Efficiency and Dominance in DEA," Journal of Productivity Analysis, Springer, vol. 9(1), pages 53-79, January.
    19. Gouveia, M.C. & Dias, L.C. & Antunes, C.H. & Boucinha, J. & Inácio, C.F., 2015. "Benchmarking of maintenance and outage repair in an electricity distribution company using the value-based DEA method," Omega, Elsevier, vol. 53(C), pages 104-114.
    20. Yadav, Vinod Kumar & Padhy, N.P. & Gupta, H.O., 2010. "A micro level study of an Indian electric utility for efficiency enhancement," Energy, Elsevier, vol. 35(10), pages 4053-4063.

    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:appene:v:87:y:2010:i:1:p:185-190. 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/wps/find/journaldescription.cws_home/405891/description#description .

    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.