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CO 2 and Energy Efficiency of Different Heating Technologies in the Dutch Glasshouse Industry

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  • Alfons Lansink

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  • Elvira Silva

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Abstract

This paper uses Data Envelopment Analysis tocompute input-based technical efficiencymeasures and CO 2 and energy technicalefficiency of specialised vegetable firms inthe Netherlands over the period 1991–1995. Input-based scale efficiency is also calculatedfor each firm. These efficiency measures aregenerated for firms with different heatingtechnologies. The empirical results indicatethat firms use energy quite efficiently and areless efficient in terms of CO 2 emissions. Differences in CO 2 (energy) efficiencyacross different technologies are (not)statistically significant. In particular,firms using traditional heating technologiesare less efficient in terms of CO 2 . Scaleadjustments can provide an importantcontribution to further efficiencyimprovements. Copyright Kluwer Academic Publishers 2003

Suggested Citation

  • Alfons Lansink & Elvira Silva, 2003. "CO 2 and Energy Efficiency of Different Heating Technologies in the Dutch Glasshouse Industry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 24(4), pages 395-407, April.
  • Handle: RePEc:kap:enreec:v:24:y:2003:i:4:p:395-407
    DOI: 10.1023/A:1023684316366
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    References listed on IDEAS

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    1. Ching-Cheng Chang, 1999. "The Nonparametric Risk-Adjusted Efficiency Measurement: An Application to Taiwan's Major Rural Financial Intermediaries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 902-913.
    2. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    3. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    4. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
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    Citations

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    Cited by:

    1. Juan Aparicio & Magdalena Kapelko & Bernhard Mahlberg & Jose L. Sainz-Pardo, 2017. "Measuring input-specific productivity change based on the principle of least action," Journal of Productivity Analysis, Springer, vol. 47(1), pages 17-31, February.
    2. 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.
    3. Theodoros Skevas & Teresa Serra, 2016. "The role of pest pressure in technical and environmental inefficiency analysis of Dutch arable farms: an event-specific data envelopment approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 139-153, December.
    4. Kapelko, Magdalena & Oude Lansink, Alfons, 2017. "Dynamic multi-directional inefficiency analysis of European dairy manufacturing firms," European Journal of Operational Research, Elsevier, vol. 257(1), pages 338-344.
    5. repec:kap:jproda:v:48:y:2017:i:1:d:10.1007_s11123-017-0507-5 is not listed on IDEAS
    6. María Pérez Urdiales & Alfons Oude Lansink & Alan Wall, 2016. "Eco-efficiency Among Dairy Farmers: The Importance of Socio-economic Characteristics and Farmer Attitudes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(4), pages 559-574, August.
    7. Oude Lansink, Alfons G.J.M., 2005. "Nonparametric Modelling of Co2 Emission Quota," 89th Seminar, February 2-5, 2005, Parma, Italy 234613, European Association of Agricultural Economists.
    8. Skevas, Theodoros & Stefanou, Spiro E. & Oude Lansink, Alfons, 2014. "Pesticide use, environmental spillovers and efficiency: A DEA risk-adjusted efficiency approach applied to Dutch arable farming," European Journal of Operational Research, Elsevier, vol. 237(2), pages 658-664.
    9. Dong, Zefeng & Guan, Zhengfei & Grogan, Kelly A. & Skevas, Theodoros, 2015. "Energy and Environmental Efficiency of Greenhouse Growers in Michigan," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196840, Southern Agricultural Economics Association.
    10. Sueyoshi, Toshiyuki & Goto, Mika, 2013. "Returns to scale vs. damages to scale in data envelopment analysis: An impact of U.S. clean air act on coal-fired power plants," Omega, Elsevier, vol. 41(2), pages 164-175.
    11. 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.
    12. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.

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