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Drivers of technical efficiency and technology gaps in Ghana’s mango production sector: a stochastic metafrontier approach

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  • Mensah, Amos
  • Brummer, Bernhard

Abstract

Mango production and exports in Ghana have been increasingly volatile over the past years. After a successful take-off of the sector in the early 2000s, output and international market share decreased. In this study, the reasons for the lacklustre performance on the production side are considered using survey data from Ghana. Technical inefficiencies and technology gaps of smallholder mango producers are analysed. A metafrontier framework allows for separating production inefficiencies caused by bad agronomic and management practices from technology gaps. The results show that each production zone requires specifically targeted programs in order to improve technical efficiency.

Suggested Citation

  • Mensah, Amos & Brummer, Bernhard, 2016. "Drivers of technical efficiency and technology gaps in Ghana’s mango production sector: a stochastic metafrontier approach," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246269, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae16:246269
    DOI: 10.22004/ag.econ.246269
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    File URL: https://ageconsearch.umn.edu/record/246269/files/21.%20Drivers%20of%20Technical%20Efficiency%20and%20Technology%20gaps%20in%20Ghana_s%20Mango%20Sector.pdf
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    References listed on IDEAS

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    3. Elizaphan J. O. Rao & Bernhard Brümmer & Matin Qaim, 2012. "Farmer Participation in Supermarket Channels, Production Technology, and Efficiency: The Case of Vegetables in Kenya," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(4), pages 891-912.
    4. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    5. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    6. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Cited by:

    1. T. O. Ojo & A. A. Ogundeji & S. C. Babu & T. Alimi, 2020. "Estimating financing gaps in rice production in Southwestern Nigeria," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-18, December.
    2. Chukwujekwu A. Obianefo & John N. Ng’ombe & Agness Mzyece & Blessing Masasi & Ngozi J. Obiekwe & Oluchi O. Anumudu, 2021. "Technical Efficiency and Technological Gaps of Rice Production in Anambra State, Nigeria," Agriculture, MDPI, vol. 11(12), pages 1-13, December.
    3. Obianefo Chukwujekwu Aloysius & Uchemba Uzochukwu Victor & Ezeano Ike Caleb & Anumudu Oluchi Odinaka, 2021. "Technical Efficiency And Technological Gap Ratios Of Tomato Production In Northern Nigeria: A Stochastic Meta Frontier Approach," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 42(1), June.
    4. Jacob Asravor & Alexander N. Wiredu & Khalid Siddig & Edward E. Onumah, 2019. "Evaluating the Environmental-Technology Gaps of Rice Farms in Distinct Agro-Ecological Zones of Ghana," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    5. Gideon Danso-Abbeam & Lloyd J. S. Baiyegunhi, 2020. "Do farm-level technical efficiency and welfare complement each other? Insight from Ghana’s cocoa industry," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-15, December.

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    Keywords

    Productivity Analysis; Research and Development/Tech Change/Emerging Technologies;

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