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Is small family farming more environmentally sustainable? Evidence from a spatial regression discontinuity design in Germany

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  • Wuepper, David
  • Wimmer, Stefan
  • Sauer, Johannes

Abstract

This article investigates the effect of small family farming on the use of sustainable farming practices in Germany. For causal identification, we employ a fuzzy spatial regression discontinuity design at the historical inner-German border, adjust p-values for multiple hypothesis testing, and compare distinct strategies to classify farms. The results show that small family farming leads to more spatial diversification (more products), but less temporal diversification (more monocultures), more bare soils during winter (fewer cover crops), and less creation or conservation of structural elements (such as hedges, walls, and trees). Thus, our empirical evidence does not support the idea that small family farming is unambiguously more sustainable than its alternatives.

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  • Wuepper, David & Wimmer, Stefan & Sauer, Johannes, 2020. "Is small family farming more environmentally sustainable? Evidence from a spatial regression discontinuity design in Germany," Land Use Policy, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:lauspo:v:90:y:2020:i:c:s026483771930078x
    DOI: 10.1016/j.landusepol.2019.104360
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    1. Anderson, Michael L, 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt15n8j26f, Department of Agricultural & Resource Economics, UC Berkeley.
    2. Douglas Gollin & David Lagakos & Michael E. Waugh, 2014. "Agricultural Productivity Differences across Countries," American Economic Review, American Economic Association, vol. 104(5), pages 165-170, May.
    3. Philip Kostov & Sophia Davidova & Alastair Bailey, 2019. "Comparative Efficiency of Family and Corporate Farms: Does Family Labour Matter?," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(1), pages 101-115, February.
    4. Cameron, A. Colin & Gelbach, Jonah B. & Miller, Douglas L., 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 238-249.
    5. Chabé-Ferret, Sylvain & Subervie, Julie, 2013. "How much green for the buck? Estimating additional and windfall effects of French agro-environmental schemes by DID-matching," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 12-27.
    6. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    7. Laaser, Claus-Friedrich & Rosenschon, Astrid, 2018. "Kieler Subventionsbericht und die Kieler Subventionsampel: Finanzhilfen des Bundes und Steuervergünstigungen bis 2017 - eine Aktualisierung," Kieler Beiträge zur Wirtschaftspolitik 14, Kiel Institute for the World Economy (IfW Kiel).
    8. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    9. Campbell, Danny, 2007. "Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7975, Agricultural Economics Society.
    10. Philip Kostov & Sophia Davidova & Alistair Bailey, 2018. "Effect of family labour on output of farms in selected EU Member States: a non-parametric quantile regression approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(3), pages 367-395.
    11. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    12. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 933-959.
    13. Philippe Le Goffe, 2000. "Hedonic pricing of agriculture and forestry externalities," Post-Print hal-02364341, HAL.
    14. Robert Finger & Scott M. Swinton & Nadja El Benni & Achim Walter, 2019. "Precision Farming at the Nexus of Agricultural Production and the Environment," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 313-335, October.
    15. Osterburg, Bernhard & Stratmann, Ursula, 2002. "Die regionale Agrarumweltpolitik in Deutschland unter dem Einfluss der Förderangebote der Europäischen Union," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 51(05), pages 1-21.
    16. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    17. Stephen A. Rhoades, 1993. "The Herfindahl-Hirschman index," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Mar, pages 188-189.
    18. David Wuepper & Habtamu Yesigat Ayenew & Johannes Sauer, 2018. "Social Capital, Income Diversification and Climate Change Adaptation: Panel Data Evidence from Rural Ethiopia," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 458-475, June.
    19. Danny Campbell, 2007. "Willingness to Pay for Rural Landscape Improvements: Combining Mixed Logit and Random‐Effects Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 467-483, September.
    20. Lowder, Sarah K. & Skoet, Jakob & Raney, Terri, 2016. "The Number, Size, and Distribution of Farms, Smallholder Farms, and Family Farms Worldwide," World Development, Elsevier, vol. 87(C), pages 16-29.
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