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    Rights statement: Copyright 2015 by Arne Henningsen, Daniel F. Mpeta, Anwar S. Adem, Joseph A. Kuzilwa, and Tomasz G. Czekaj. All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies.

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A Meta-Frontier Approach for Causal Inference in Productivity Analysis: The Effect of Contract Farming on Sunflower Productivity in Tanzania

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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  • Arne Henningsen
  • Daniel F Mpeta
  • Anwar S Adem
  • Joseph A Kuzilwa
  • Tomasz G Czekaj
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Publication date06/2015
Host publication2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California
Publisher Agricultural and Applied Economics Association (AAEA)
Number of pages24
<mark>Original language</mark>English

Abstract

Due to changes in the global agricultural system and support from various organizations,
contract farming has recently been significantly expanded in many developing countries.
A considerable body of literature analyses the impact of contract farming on the welfare
of smallholders, whereas its impact on efficiency and productivity is mostly overlooked.
This study addresses this salient gap by combining the approaches suggested by BravoUreta,
Greene, and Solís (Empirical Economics 43:55–72, 2012) and Rao, Brümmer, and
Qaim (American Journal of Agricultural Economics 94:891–912, 2012). We first use the
approach of Bravo-Ureta, Greene and Solís (2012) to estimate two separate production
frontiers (one for contract farmers and one for non-contract farmers) that account for
potential biases due to self-selection on both observed and unobserved variables. Then,
we follow Rao, Brümmer and Qaim (2012) and create a meta-frontier in order to estimate
the effects of participation on the farms’ meta-technology ratio, their group technical
efficiency, and their meta-technology technical efficiency. The empirical analysis uses a
cross-sectional data set from sunflower farmers in Tanzania, where some of the farmers
participate in contract farming while others do not. We find a significant selection bias,
which justifies the use of the sample selection framework. Our preliminary results indicate
that contract farming significantly increases the yield potential (meta-technology ratio)
but lowers the group technical efficiency. As the first effect is slightly larger than the second,
we find a small positive effect of contract farming on productivity (meta-technology
technical efficiency). The positive effects on the yield potential and the (average) productivity
can be (at least partly) explained by the contractor’s provision of (additional)
extension service and seeds of high-yielding varieties to the contract farmers.

Bibliographic note

Copyright 2015 by Arne Henningsen, Daniel F. Mpeta, Anwar S. Adem, Joseph A. Kuzilwa, and Tomasz G. Czekaj. All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies