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Agricultural productivity in New Zealand: First estimates from the Longitudinal Business Database

Author

Listed:
  • Eyal Apatov

    (Motu Economic and Public Policy Research)

  • Richard Fabling

    (Independent Researcher)

  • Adam B Jaffe

    (Motu Economic and Public Policy Research)

  • Michele Morris

    (Independent Researcher)

  • Matt Thirkettle

    (Motu Economic and Public Policy Research)

Abstract

Exports of dairy and sheep/beef products account for over 40% of New Zealand's aggregate merchandise exports. As a consequence, the performance of farms in these industries has a significant impact on the New Zealand economy. In this study, we link financial and agricultural data from the New Zealand Longitudinal Business Database (LBD) to estimate production functions of dairy and sheep/beef firms in New Zealand. Overall, we find that the data enables us to explain much of the industry-level variation in productivity and output, offering greater flexibility and insight than simply examining the official (aggregated) statistics. We find that variation in output can be largely explained by variation in capital, labour, intermediate expenditure, and productive land. We also find differences across industries in the way various farm practices (e.g. stocking rates, fertilizer use, supplementary activities, etc.) and area characteristics (including weather) relate to output. Finally, we find that estimating firm productivity at the industry level is less likely to accurately model the relationships for some sub-groups of firms (e.g. firms with different land size). We believe that our methodology could be useful for future studies addressing research questions relevant to this sector.

Suggested Citation

  • Eyal Apatov & Richard Fabling & Adam B Jaffe & Michele Morris & Matt Thirkettle, 2015. "Agricultural productivity in New Zealand: First estimates from the Longitudinal Business Database," Working Papers 15_13, Motu Economic and Public Policy Research.
  • Handle: RePEc:mtu:wpaper:15_13
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    References listed on IDEAS

    as
    1. Richard Fabling & David C Maré, 2015. "Production function estimation using New Zealand’s Longitudinal Business Database," Working Papers 15_15, Motu Economic and Public Policy Research.
    2. Richard Fabling & Lynda Sanderson, 2014. "Productivity distributions in New Zealand: The dangers of international comparison," Working Papers 14_16, Motu Economic and Public Policy Research.
    3. Ilke Van Beveren, 2012. "Total Factor Productivity Estimation: A Practical Review," Journal of Economic Surveys, Wiley Blackwell, vol. 26(1), pages 98-128, February.
    4. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    5. Richard Fabling, 2009. "A Rough Guide to New Zealand's Longitudinal Business Database," Global COE Hi-Stat Discussion Paper Series gd09-103, Institute of Economic Research, Hitotsubashi University.
    6. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    7. Wooldridge, Jeffrey M., 2009. "On estimating firm-level production functions using proxy variables to control for unobservables," Economics Letters, Elsevier, vol. 104(3), pages 112-114, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Firm-level productivity; dairying; sheep-beef farming; Translog; fixed effects;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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