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Reducing Pesticide Use and Pesticide Impact by Productivity Growth: the Case of Dutch Arable Farming

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  • Theodoros Skevas
  • Alfons Oude Lansink

Abstract

type="main" xml:id="jage12037-abs-0001"> This paper employs a dynamic Data Envelopment Analysis (DEA) model to measure the composition of productivity growth of pesticides and the environmental impacts of pesticides. The application focuses on panel data of Dutch arable farms over the period 2003–07. A bootstrap regression model is used to explain farmers' performance, providing empirical evidence of the impact of producer-specific characteristics and environmental factors. The results show that Dutch arable farms have substantial inefficiency in the use of pesticides and high pesticide environmental inefficiency, and appear rather unconcerned about the environmental impacts of their current pesticide use decisions on next period's production environment.

Suggested Citation

  • Theodoros Skevas & Alfons Oude Lansink, 2014. "Reducing Pesticide Use and Pesticide Impact by Productivity Growth: the Case of Dutch Arable Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(1), pages 191-211, January.
    • Handle: RePEc:bla:jageco:v:65:y:2014:i:1:p:191-211
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    File URL: http://hdl.handle.net/10.1111/jage.2014.65.issue-1
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    Cited by:

    1. Tang, L. & Zhou, J. & Liu, Q., 2018. "Beyond quantity: the crowding-in effects of perception of climate risk on chemical use by Chinese rice farmers," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277220, International Association of Agricultural Economists.
    2. Ilyin, A. V. & Ilyin, V. D., 2014. "Towards a Normalized Economic Mechanism Based on E-services," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(3), pages 1-11, September.
    3. Nguyen To-The & Tuan Nguyen-Anh, 2021. "Impact of government intervention to maize efficiency at farmer’s level across time: a robust evidence in Northern Vietnam," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2038-2061, February.
    4. 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.
    5. Xiuqing Zou & Meihui Xie & Zhiyuan Li & Kaifeng Duan, 2022. "Spatial Spillover Effect of Rural Labor Transfer on the Eco-Efficiency of Cultivated Land Use: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-17, August.
    6. Bjørnåvold, Amalie & David, Maia & Bohan, David A. & Gibert, Caroline & Rousselle, Jean-Marc & Van Passel, Steven, 2022. "Why does France not meet its pesticide reduction targets? Farmers' socio-economic trade-offs when adopting agro-ecological practices," Ecological Economics, Elsevier, vol. 198(C).
    7. 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.
    8. 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.
    9. 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.
    10. Chèze, Benoît & David, Maia & Martinet, Vincent, 2020. "Understanding farmers' reluctance to reduce pesticide use: A choice experiment," Ecological Economics, Elsevier, vol. 167(C).
    11. Magdalena Kapelko & Alfons Oude Lansink & Encarna Guillamon‐Saorin, 2021. "Corporate social responsibility and dynamic productivity change in the US food and beverage manufacturing industry," Agribusiness, John Wiley & Sons, Ltd., vol. 37(2), pages 286-305, April.
    12. Koiry, Subrata & Huang, Wei, 2023. "Do ecological protection approaches affect total factor productivity change of cropland production in Sweden?," Ecological Economics, Elsevier, vol. 209(C).
    13. Bakker, L. & Sok, J. & van der Werf, W. & Bianchi, F.J.J.A., 2021. "Kicking the Habit: What Makes and Breaks Farmers' Intentions to Reduce Pesticide Use?," Ecological Economics, Elsevier, vol. 180(C).
    14. Wirat Krasachat & Suthathip Yaisawarng, 2021. "Directional Distance Function Technical Efficiency of Chili Production in Thailand," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    15. Ylyin, A. V. & Ylyin, V. D., 2015. "E-trade with Direct Lending and Normalized Money," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(4), pages 1-8, December.
    16. Agnes Gold & Stefan Gold, 2019. "Drivers of Farm Efficiency and Their Potential for Development in a Changing Agricultural Setting in Kerala, India," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 31(4), pages 855-880, September.
    17. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.
    18. Tang, Liqun & Zhou, Jiehong & Bobojonov, Ihtiyor & Zhang, Yanjie & Glauben, Thomas, 2018. "Induce or reduce? The crowding-in effects of farmers’ perceptions of climate risk on chemical use in China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 20, pages 27-37.
    19. 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.
    20. Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).
    21. Amer Ait Sidhoum, 2023. "Assessing the contribution of farmers’ working conditions to productive efficiency in the presence of uncertainty, a nonparametric approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8601-8622, August.

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