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Analysis of Nitrogen Use Efficiency on Farm Level of the German Agricultural Sector – Effects of Regional Patterns, Farm Structure and Drought Events

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  • Löw, Philipp
  • Söder, Mareike
  • Osterburg, Bernhard

Abstract

Nitrogen (N) utilisation must be optimised to ensure food security and mitigate negative externalities of agricultural activities at the same time. This study investigated the level of Nitrogen use efficiency (NUE), an agri-environmental indicator for assessing and monitoring N utilisation on farms, of the German agricultural sector and its regional and structural determinants. About 25,000 observations on NUE between 2017 and 2022 were grouped into farm-types based on Farm Accountancy Data Network, showing the lowest NUE for dairy farms and the highest for permanent crop farms on average. Also, we developed an explanatory model with a robust multiple regression technique to identify significant interrelations between NUE and regional patterns (e.g. altitude), farm structure (e.g. manure type, crop selection) and drought events (e.g. adaptation of N management). Hence, we aim to support policymakers in designing targeted policies for mitigating agricultural N emissions and achieving (inter-)national environmental, climate and sustainability goals.

Suggested Citation

  • Löw, Philipp & Söder, Mareike & Osterburg, Bernhard, 2023. "Analysis of Nitrogen Use Efficiency on Farm Level of the German Agricultural Sector – Effects of Regional Patterns, Farm Structure and Drought Events," 2023 International Congress, August 29 - September 1, 2023, Rennes, France 389997, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae23:389997
    DOI: 10.22004/ag.econ.389997
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    References listed on IDEAS

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    1. Robert Finger, 2010. "Revisiting the Evaluation of Robust Regression Techniques for Crop Yield Data Detrending," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 205-211.
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