IDEAS home Printed from https://ideas.repec.org/a/eme/caerpp/caer-09-2018-0192.html
   My bibliography  Save this article

Farm size and use of inputs: explanations for the inverse productivity relationship

Author

Listed:
  • Shen Cheng
  • Zhihao Zheng
  • Shida Henneberry

Abstract

Purpose - The relationship between farm size and land productivity is a hotly debated issue in the study of agricultural economics and development economics. The purpose of this paper is to explore the causes leading to the inverse productivity relationship by examining the relationship between farm size and factor inputs. Design/methodology/approach - With a large panel data set of farm households in China during 2010–2011, this study uses the factor demand models to examine the relationship between farm size and per-mu labor and non-labor inputs while employing a stochastic frontier production function in determining the difference of labor efforts in farming operation across farm sizes. Moreover, the models for value-added margins and profits are used to further determine producer behavior of small-size farms. Findings - Results of this study show that, as compared to larger farms, smaller farms not only utilize more labor and non-labor inputs per mu, but also benefit from a higher labor effort. Moreover, smaller farms concentrate more on grain output and cash costs while focusing less on the family labor input costs in an effort to maximize value-added margins rather than profits. The higher yields on smaller farms are thus a result of the utilization of a relatively higher level of labor and non-labor inputs along with skilled-oriented precision farming technology. The inverse productivity relationship is explained by the behavior of small-size producers with employment constraints, leading to smaller farms generating a higher yield than larger farms. Originality/value - While Sen (1966), Feder (1985), Eswaran and Kotwal (1986) and others have theoretically derived the causal relationship between the incomplete factor markets, especially incomplete labor markets, and the inverse productivity, empirical studies to test the causal relationships are limited. In particular, a solid foundation based on an empirical analysis is lacking when it comes to explaining the inverse productivity in China. Results of this study are expected to have significant policy implications in terms of the understanding of small-size producer behavior and the associated mechanism underlying the inverse relationship between farm size and land productivity.

Suggested Citation

  • Shen Cheng & Zhihao Zheng & Shida Henneberry, 2018. "Farm size and use of inputs: explanations for the inverse productivity relationship," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(2), pages 336-354, November.
  • Handle: RePEc:eme:caerpp:caer-09-2018-0192
    DOI: 10.1108/CAER-09-2018-0192
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/CAER-09-2018-0192/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/CAER-09-2018-0192/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/CAER-09-2018-0192?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Katarzyna Smędzik-Ambroży & Marta Guth & Adam Majchrzak & Andreea Cipriana Muntean & Silvia Ștefania Maican, 2021. "The Socio-Economics Factors in Family Farms with Different Economic Sustainability Levels from Central and Eastern Europe," Sustainability, MDPI, vol. 13(15), pages 1-12, July.
    2. Rodica Chetroiu & Ana Elena Cișmileanu & Elena Cofas & Ionut Laurentiu Petre & Steliana Rodino & Vili Dragomir & Ancuța Marin & Petruța Antoneta Turek-Rahoveanu, 2022. "Assessment of the Relations for Determining the Profitability of Dairy Farms, A Premise of Their Economic Sustainability," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    3. Liang Chi & Mengshuai Zhu & Chen Shen & Jing Zhang & Liwei Xing & Xiangyang Zhou, 2023. "Does the Winner Take All in E-Commerce of Agricultural Products under the Background of Platform Monopoly?," Agriculture, MDPI, vol. 13(2), pages 1-16, February.
    4. Ai Rui & Xiao Shishun & Martinson Ankrah Twumasi, 2022. "Does Rural Operation System Reform Enhance Agricultural Output? Evidence from Sichuan Province," Land, MDPI, vol. 11(12), pages 1-18, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:caerpp:caer-09-2018-0192. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emerald Support (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.