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Energy Productivity Growth in the Dutch Greenhouse Industry

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  • Alfons Oude Lansink
  • Christien Ondersteijn

Abstract

Profitability of Dutch greenhouse firms is largely dependent on energy costs, and policy makers focus on reducing the use of energy by these firms. This article uses Russell measures of TE to develop indicators of energy productivity growth. Results show that energy productivity grew by 2.8% annually in the period 1976–95, with technical progress being the key factor driving the process of productivity growth. From this we conclude that policies aiming at enhancing the adoption of technological innovations are more effective, if due attention is paid to measures for improving TE. Copyright 2006, Oxford University Press.

Suggested Citation

  • Alfons Oude Lansink & Christien Ondersteijn, 2006. "Energy Productivity Growth in the Dutch Greenhouse Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 124-132.
    • Handle: RePEc:oup:ajagec:v:88:y:2006:i:1:p:124-132
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    File URL: http://hdl.handle.net/10.1111/j.1467-8276.2006.00842.x
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    Cited by:

    1. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    2. 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.
    3. Magdalena Kapelko, 2018. "Measuring inefficiency for specific inputs using data envelopment analysis: evidence from construction industry in Spain and Portugal," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 43-66, March.
    4. Wei, Yi-Ming & Liao, Hua & Fan, Ying, 2007. "An empirical analysis of energy efficiency in China's iron and steel sector," Energy, Elsevier, vol. 32(12), pages 2262-2270.
    5. Kapelko, M. & Horta, I.M. & Camanho, A.S. & Oude Lansink, A., 2015. "Measurement of input-specific productivity growth with an application to the construction industry in Spain and Portugal," International Journal of Production Economics, Elsevier, vol. 166(C), pages 64-71.
    6. Aparicio, Juan & Borras, Fernando & Pastor, Jesus T. & Vidal, Fernando, 2015. "Measuring and decomposing firm׳s revenue and cost efficiency: The Russell measures revisited," International Journal of Production Economics, Elsevier, vol. 165(C), pages 19-28.
    7. Frederic Ang & Kristiaan Kerstens & Jafar Sadeghi, 2023. "Energy productivity and greenhouse gas emission intensity in Dutch dairy farms: A Hicks–Moorsteen by‐production approach under non‐convexity and convexity with equivalence results," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 492-509, June.
    8. Stemmler, Henry & Meemken, Eva-Marie, 2023. "Greenhouse farming and employment: Evidence from Ecuador," Food Policy, Elsevier, vol. 117(C).
    9. 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.
    10. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "Input-Specific Dynamic Productivity Change: Measurement and Application to European Dairy Manufacturing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 579-599, June.
    11. Béchir Ben Lahouel & Younes Ben Zaied & Guo-liang Yang & Maria-Giuseppina Bruna & Yaoyao Song, 2022. "A non-parametric decomposition of the environmental performance-income relationship: evidence from a non-linear model," Annals of Operations Research, Springer, vol. 313(1), pages 525-558, June.
    12. Magdalena Kapelko & Alfons Oude Lansink, 2018. "Managerial and program inefficiency for European meat manufacturing firms: A dynamic multidirectional inefficiency analysis approach," Journal of Productivity Analysis, Springer, vol. 49(1), pages 25-36, February.
    13. Stefano NASINI & Rabia NESSAH, 2021. "Endogenous Learning in Multi-Sector Economies," Working Papers 2021-EQM-08, IESEG School of Management, revised Oct 2023.
    14. Alphonse Singbo & Alfons Oude Lansink & Grigorios Emvalomatis, 2014. "Estimating farmers’ productive and marketing inefficiency: an application to vegetable producers in Benin," Journal of Productivity Analysis, Springer, vol. 42(2), pages 157-169, October.

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