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Identifying factor productivity from micro-data: the case of EU agriculture

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  • Petrick, Martin
  • Kloss, Mathias

Abstract

We examine the plausibility of four established and innovative identification strategies for agricultural production functions using farm-level panel datasets from five EU countries. Newly suggested proxy and dynamic panel approaches provide attractive conceptual improvements over received Within and duality models. Even so, empirical implementation of such advancements does not always live up to expectations. This is particularly true for the dynamic panel estimator, which mostly failed to identify reasonable elasticities for the (quasi-) fixed factors. Less demanding proxy approaches represent an interesting alternative for agricultural applications. In our EU sample, high production elasticities for materials prevail. Hence, improving the availability of working capital is the most promising way to increase agricultural productivity.

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  • Petrick, Martin & Kloss, Mathias, 2018. "Identifying factor productivity from micro-data: the case of EU agriculture," IAMO Discussion Papers 271870, Institute of Agricultural Development in Transition Economies (IAMO).
    • Handle: RePEc:ags:iamodp:271870
    DOI: 10.22004/ag.econ.271870
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    Cited by:

    1. Zeng, Shuwei & Gould, Brian & Thorne, Fiona & Laepple, Doris, "undated". "EU Milk Quota Elimination: Has the Productivity of Irish Dairy Farms Been Impacted?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 261218, Agricultural and Applied Economics Association.
    2. Petrick, Martin & Kloss, Mathias, 2013. "Identifying Factor Productivity from Micro-data: The case of EU agriculture," Working papers 144004, Factor Markets, Centre for European Policy Studies.
    3. Pavel Ciaian & d'Artis Kancs & Maria Espinosa, 2018. "The Impact of the 2013 CAP Reform on the Decoupled Payments’ Capitalisation into Land Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 306-337, June.
    4. repec:zbw:iamodp:274820 is not listed on IDEAS
    5. Kloss, Mathias & Petrick, Martin, 2014. "The productivity of family and hired labour in EU arable farming," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183041, European Association of Agricultural Economists.
    6. Frick, Fabian & Sauer, Johannes, 2016. "Deregulation and Productivity – Empirical Evidence on Dairy Production," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236032, Agricultural and Applied Economics Association.
    7. repec:zbw:iamodp:271870 is not listed on IDEAS
    8. Mathias Kloss & Thomas Kirschstein & Steffen Liebscher & Martin Petrick, 2019. "Robust Productivity Analysis: An application to German FADN data," Papers 1902.00678, arXiv.org, revised Feb 2019.
    9. Petrick, Martin & Kloss, Mathias, 2018. "Identifying Agricultural Factor Productivity from Micro-data: A Review of Approaches with an Application to EU Countries," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 67(2), June.
    10. Taejun Mo & Hojune Lee & Sungeunsally Oh & Hyunji Lee & Brian H. S. Kim, 2022. "Economic Efficiency of Climate Smart Agriculture Technology: Case of Agrophotovoltaics," Land, MDPI, vol. 12(1), pages 1-20, December.

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    More about this item

    Keywords

    Agricultural Finance; Productivity Analysis;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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