IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v47y2013i2p120-130.html
   My bibliography  Save this article

An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries

Author

Listed:
  • Pardo Martínez, Clara Inés

Abstract

This study determines the trends in energy efficiency and CO2 emissions of the Swedish service sector using data at the 2-digit level of aggregation for the Swedish service industry over the period 1993–2008, this empirical study examines eco-efficiency in terms of energy efficiency and CO2 emissions based on a number of models. The results show that Swedish service industries increased energy consumption and CO2 emissions during the sample period, whereas energy and CO2 emission intensities have shown a decrease in recent years. Eco-efficiency models based on the Malmquist data envelopment analysis model suggest that Swedish service industries have an excellent potential to increase energy efficiency and reduce CO2 emissions. Second-stage panel data techniques show that energy taxes, investments and labour productive have a significant and positive influence on energy and CO2 emission intensities implying that increasing these variables lead to higher energy efficiency and lower CO2 emission intensity. This analysis demonstrates the importance of designing and applying adequate energy policies that encourage better energy use and management in this industrial sector for the goal of achieving a low carbon economy.

Suggested Citation

  • Pardo Martínez, Clara Inés, 2013. "An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 120-130.
    • Handle: RePEc:eee:soceps:v:47:y:2013:i:2:p:120-130
    DOI: 10.1016/j.seps.2012.11.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012112000614
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2012.11.004?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. Mairet, Nicolas & Decellas, Fabrice, 2009. "Determinants of energy demand in the French service sector: A decomposition analysis," Energy Policy, Elsevier, vol. 37(7), pages 2734-2744, July.
    2. Giorgio Calzolari & Laura Magazzini, 2012. "Autocorrelation and masked heterogeneity in panel data models estimated by maximum likelihood," Empirical Economics, Springer, vol. 43(1), pages 145-152, August.
    3. Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
    4. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    5. Salas, Osvaldo, 1998. "Technical Efficiency During Deregulation of the Urban Bus System in Sweden," Working Papers in Economics 4, University of Gothenburg, Department of Economics.
    6. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    7. Harald Edquist, 2011. "CAN INVESTMENT IN INTANGIBLES EXPLAIN THE SWEDISH PRODUCTIVITY BOOM IN THE 1990s?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(4), pages 658-682, December.
    8. Oggioni, G. & Riccardi, R. & Toninelli, R., 2011. "Eco-efficiency of the world cement industry: A data envelopment analysis," Energy Policy, Elsevier, vol. 39(5), pages 2842-2854, May.
    9. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    10. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    11. Bretschger, Lucas & Ramer, Roger & Schwark, Florentine, 2011. "Growth effects of carbon policies: Applying a fully dynamic CGE model with heterogeneous capital," Resource and Energy Economics, Elsevier, vol. 33(4), pages 963-980.
    12. Mukherjee, Kankana, 2008. "Energy use efficiency in the Indian manufacturing sector: An interstate analysis," Energy Policy, Elsevier, vol. 36(2), pages 662-672, February.
    13. Greening, Lorna A. & Boyd, Gale & Roop, Joseph M., 2007. "Modeling of industrial energy consumption: An introduction and context," Energy Economics, Elsevier, vol. 29(4), pages 599-608, July.
    14. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    15. Saunders, Harry D., 2008. "Fuel conserving (and using) production functions," Energy Economics, Elsevier, vol. 30(5), pages 2184-2235, September.
    16. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    17. Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(6), pages 814-823, December.
    18. Sune Karlsson & Jimmy Skoglund, 2004. "Maximum-likelihood based inference in the two-way random effects model with serially correlated time effects," Empirical Economics, Springer, vol. 29(1), pages 79-88, January.
    19. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    20. Krackeler, Tom & Schipper, Lee & Sezgen, Osman, 1998. "Carbon dioxide emissions in OECD service sectors: the critical role of electricity use," Energy Policy, Elsevier, vol. 26(15), pages 1137-1152, December.
    21. Henning, Dag & Trygg, Louise, 2008. "Reduction of electricity use in Swedish industry and its impact on national power supply and European CO2 emissions," Energy Policy, Elsevier, vol. 36(7), pages 2330-2350, July.
    22. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    23. Bhattacharyya, Subhes C. & Matsumura, Wataru, 2010. "Changes in the GHG emission intensity in EU-15: Lessons from a decomposition analysis," Energy, Elsevier, vol. 35(8), pages 3315-3322.
    24. repec:bla:scandj:v:94:y:1992:i:0:p:s193-205 is not listed on IDEAS
    25. Schleich, Joachim, 2009. "Barriers to energy efficiency: A comparison across the German commercial and services sector," Ecological Economics, Elsevier, vol. 68(7), pages 2150-2159, May.
    26. van der Werf, Edwin, 2008. "Production functions for climate policy modeling: An empirical analysis," Energy Economics, Elsevier, vol. 30(6), pages 2964-2979, November.
    27. Edquist, Harald, 2011. "Intangible Investment and the Swedish Manufacturing and Service Sector Paradox," Working Paper Series 863, Research Institute of Industrial Economics.
    28. Robert Stern, 2005. "The Place of Services in the World Economy," Working Papers 530, Research Seminar in International Economics, University of Michigan.
    29. Johansson, Helena, 2005. "Technical, Allocative, and Economic Efficiency in Swedish Dairy Farms: The Data Envelopment Analysis Versus the Stochastic Frontier Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24478, European Association of Agricultural Economists.
    30. Bohringer, Christoph & Rutherford, Thomas F., 2008. "Combining bottom-up and top-down," Energy Economics, Elsevier, vol. 30(2), pages 574-596, March.
    31. Fuss, Melvyn A, 1977. "The Structure of Technology over Time: A Model for Testing the "Putty-Clay" Hypothesis," Econometrica, Econometric Society, vol. 45(8), pages 1797-1821, November.
    32. Murphy, Rose & Rivers, Nic & Jaccard, Mark, 2007. "Hybrid modeling of industrial energy consumption and greenhouse gas emissions with an application to Canada," Energy Economics, Elsevier, vol. 29(4), pages 826-846, July.
    33. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, December.
    34. Henry Thompson, 1985. "Complementarity in a Simple General Equilibrium Production Model," Canadian Journal of Economics, Canadian Economics Association, vol. 18(3), pages 616-621, August.
    35. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    36. Collard, Fabrice & Feve, Patrick & Portier, Franck, 2005. "Electricity consumption and ICT in the French service sector," Energy Economics, Elsevier, vol. 27(3), pages 541-550, May.
    37. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
    38. Schleich, Joachim & Gruber, Edelgard, 2008. "Beyond case studies: Barriers to energy efficiency in commerce and the services sector," Energy Economics, Elsevier, vol. 30(2), pages 449-464, March.
    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. Feng, Rui & Shen, Chen & Huang, Liangxiong & Tang, Xuan, 2022. "Does trade in services improve carbon efficiency? —Analysis based on international panel data," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    2. Opeyemi Akinyemi & Philip O. Alege & Oluseyi O. Ajayi & Lloyd Amaghionyeodiwe & Adeyemi A. Ogundipe, 2015. "Fuel Subsidy Reform and Environmental Quality in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 540-549.
    3. Bang, You-Young & Lee, Dae Sung & Lim, Seong-Rin, 2019. "Analysis of corporate CO2 and energy cost efficiency: The role of performance indicators and effective environmental reporting," Energy Policy, Elsevier, vol. 133(C).
    4. Nuri Ozgur DOGAN & Can Tansel TUGCU, 2015. "Energy Efficiency in Electricity Production: A Data Envelopment Analysis (DEA) Approach for the G-20 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 246-252.

    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. Pardo Martínez, Clara Inés & Silveira, Semida, 2012. "Analysis of energy use and CO2 emission in service industries: Evidence from Sweden," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5285-5294.
    2. Blomberg, Jerry & Henriksson, Eva & Lundmark, Robert, 2012. "Energy efficiency and policy in Swedish pulp and paper mills: A data envelopment analysis approach," Energy Policy, Elsevier, vol. 42(C), pages 569-579.
    3. Biswajit Patra & Narayan Sethi, 2024. "Does digital payment induce economic growth in emerging economies? The mediating role of institutional quality, consumption expenditure, and bank credit," Information Technology for Development, Taylor & Francis Journals, vol. 30(1), pages 57-75, January.
    4. George E. Halkos & Apostolos S. Tsirivis, 2023. "Electricity Prices in the European Union Region: The Role of Renewable Energy Sources, Key Economic Factors and Market Liberalization," Energies, MDPI, vol. 16(6), pages 1-20, March.
    5. Nora Abu Asab & Juan Carlos Cuestas, 2017. "The Credibility of a Soft Pegged Exchange Rate in Emerging Market Economies: Evidence from a Panel Data Study," Annals of Economics and Finance, Society for AEF, vol. 18(1), pages 29-51, May.
    6. Arindam Paul & Dukhabandhu Sahoo & Amrita Jena, 2023. "Asymmetric impacts of ICT and energy intensity on agricultural productivity: Evidence from Asia‐Pacific region," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1537-1561, August.
    7. Hikmet Akyol & Selim Basar, 2024. "Empirical Analysis of Turkish Banking Sector Institutional and Macroeconomic Determinants of Risks," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(74-1), pages 59-98, June.
    8. Gianko Michailidis & Concepció Patxot & Meritxell Solé, 2019. "Do pensions foster education? An empirical perspective," Applied Economics, Taylor & Francis Journals, vol. 51(38), pages 4127-4150, August.
    9. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    10. Muhammad Usman Arshad, 2021. "Forecasted E/P Ratio and ROE: Shanghai Stock Exchange (SSE), China," SAGE Open, , vol. 11(2), pages 21582440211, June.
    11. Tian Xiong & Kaan Celebi & Paul J. J. Welfens, 2022. "OECD countries’ twin long-run challenge: The impact of aging dynamics and increasing natural disasters on savings ratios," International Economics and Economic Policy, Springer, vol. 19(4), pages 741-759, October.
    12. Fleiter, Tobias & Worrell, Ernst & Eichhammer, Wolfgang, 2011. "Barriers to energy efficiency in industrial bottom-up energy demand models--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3099-3111, August.
    13. Makridou, Georgia & Andriosopoulos, Kostas & Doumpos, Michael & Zopounidis, Constantin, 2016. "Measuring the efficiency of energy-intensive industries across European countries," Energy Policy, Elsevier, vol. 88(C), pages 573-583.
    14. Stéphane Mbiankeu Nguea & Hervé Kaffo Fotio & Louise Angèle Baida, 2022. "Investigating the effects of globalization on economic sophistication in selected African countries," African Development Review, African Development Bank, vol. 34(3), pages 324-338, September.
    15. Diby François Kassi & Dilesha Nawadali Rathnayake & Pierre Axel Louembe & Ning Ding, 2019. "Market Risk and Financial Performance of Non-Financial Companies Listed on the Moroccan Stock Exchange," Risks, MDPI, vol. 7(1), pages 1-29, February.
    16. Anokhin, Sergey & Wincent, Joakim, 2014. "Technological arbitrage opportunities and interindustry differences in entry rates," Journal of Business Venturing, Elsevier, vol. 29(3), pages 437-452.
    17. Konstantinos Bletsas & Georgios Oikonomou & Minas Panagiotidis & Eleftherios Spyromitros, 2022. "Carbon Dioxide and Greenhouse Gas Emissions: The Role of Monetary Policy, Fiscal Policy, and Institutional Quality," Energies, MDPI, vol. 15(13), pages 1-24, June.
    18. Alexander Cotte Poveda & Clara Inés Pardo Martínez, 2011. "Las tendencias de la pobreza y la desigualdad: una evidencia para los departamentos de Colombia," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 29-50, November.
    19. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    20. Djokoto, Justice Gameli & Gidiglo, Ferguson K. & Srofenyo , Francis Y. & Agyeiwaa-Afrane, Akua, 2022. "Human Development Effects of Food Manufacturing Foreign Direct Investment," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 10(1), January.

    More about this item

    Keywords

    Swedish service industries; CO2 emissions; Energy efficiency; Data envelopment analysis; The Malmquist productivity index; Panel data model;
    All these keywords.

    JEL classification:

    • L80 - Industrial Organization - - Industry Studies: Services - - - General
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    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:soceps:v:47:y:2013:i:2:p:120-130. 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/seps .

    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.