Arbeitspapier

Can area measurement error explain the inverse farm size productivity relationship?

The existence of an inverse relationship (IR) between farm size and productivity in tropical agriculture remains a debated issue with policy relevance. Poor agricultural statistical data, including data on farm sizes and farm plot sizes that typically are self-reported by farmers, can lead to biased results and wrong policy conclusions. This study combines self-reported and GPS-measured farm plot and farm sizes to assess how measurement error affects the IR using three rounds of farm plot and household data from Malawi. The results show that measurement error covers up more than 60% of the IR for the total sample but leads to an upward bias in the IR on farms less than one ha. Land and labor market imperfections in combination with food self-sufficiency motives appear to explain most of the IR and lead to a strong IR on farms below one ha.

ISBN
978-82-7490-222-0
Sprache
Englisch

Erschienen in
Series: Centre for Land Tenure Studies Working Paper ; No. 12/13

Klassifikation
Wirtschaft
Agricultural Labor Markets
Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
Thema
Inverse farm size – productivity relationship
Measurement error
Land and labor market imperfections
Land quality
Malawi

Ereignis
Geistige Schöpfung
(wer)
Holden, Stein
Fisher, Monica
Ereignis
Veröffentlichung
(wer)
Norwegian University of Life Sciences (NMBU), Centre for Land Tenure Studies (CLTS)
(wo)
Ås
(wann)
2013

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Holden, Stein
  • Fisher, Monica
  • Norwegian University of Life Sciences (NMBU), Centre for Land Tenure Studies (CLTS)

Entstanden

  • 2013

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