IDEAS home Printed from https://ideas.repec.org/a/bla/afrdev/v30y2018i2p149-161.html
   My bibliography  Save this article

Efficiency of Rice Farming in Ghana: Policy Implications for Rice Sector Development

Author

Listed:
  • Emmanuel Donkor
  • Nicolette Matthews
  • Abiodun A. Ogundeji

Abstract

There is high demand for food commodities due to population growth in sub‐Saharan Africa. However, the agricultural productivity remains low making it difficult to meet this increased food demand. Therefore a need arose to improve agricultural productivity, including the productivity of the rice industry in Ghana. This study analysed the factors influencing the efficiency of Ghana's rice industry using the stochastic metafrontier model. A total of 470 smallholder rice producers from two districts in Upper East region were selected for the study. The empirical results reveal that the rice producers are technically inefficient and operating below the metafrontier. The results also indicate that the factors that influence farmers’ technical efficiency level are different between the two districts. Results also indicate that technology adoption or use of improved production practices increase the technical efficiency of rice farmers. Based on the results it is recommended that policy‐makers and researchers develop district specific recommendations, and determine how the adoption of improved technology can be increased.

Suggested Citation

  • Emmanuel Donkor & Nicolette Matthews & Abiodun A. Ogundeji, 2018. "Efficiency of Rice Farming in Ghana: Policy Implications for Rice Sector Development," African Development Review, African Development Bank, vol. 30(2), pages 149-161, June.
    • Handle: RePEc:bla:afrdev:v:30:y:2018:i:2:p:149-161
    DOI: 10.1111/1467-8268.12320
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-8268.12320
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1467-8268.12320?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
    ---><---

    References listed on IDEAS

    as
    1. Donkor, Emmanuel & Owusu, Victor, 2014. "Effects of land tenure systems on resource-use productivity and efficiency in Ghana’s rice industry," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 9(4), pages 1-14, December.
    2. Lassaad Lachaal & Boubaker Karray & Boubaker Dhehibi & Ali Chebil, 2005. "Technical Efficiency Measures and Its Determinants for Olive Producing Farms in Tunisia: A Stochastic Frontier Analysis," African Development Review, African Development Bank, vol. 17(3), pages 580-591.
    3. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    4. K. Ogundari & T.T. Amos & V.O. Okoruwa, 2012. "A Review of Nigerian Agricultural Efficiency Literature, 1999–2011: What Does One Learn from Frontier Studies?," African Development Review, African Development Bank, vol. 24(1), pages 93-106, March.
    5. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    6. Víctor Moreira & Boris Bravo-Ureta, 2010. "Technical efficiency and metatechnology ratios for dairy farms in three southern cone countries: a stochastic meta-frontier model," Journal of Productivity Analysis, Springer, vol. 33(1), pages 33-45, February.
    7. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    8. DONKOR, Emmanuel & OWUSU-SEKYERE, Enoch & OWUSU, Victor & JORDAAN, Henry, 2016. "Impact Of Row-Planting Adoption On Productivity Of Rice Farming In Northern Ghana," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 19(2), pages 1-10, October.
    9. Kenneth A. Baerenklau, 2005. "Toward an Understanding of Technology Adoption: Risk, Learning, and Neighborhood Effects," Land Economics, University of Wisconsin Press, vol. 81(1).
    10. Mariano, Marc Jim & Villano, Renato A. & Fleming, Euan M. & Acda, Rachelle, 2010. "Metafrontier Analysis Of Farm-Level Efficiencies And Environmental-Technology Gaps In Philippine Rice Farming," 2010 Conference (54th), February 10-12, 2010, Adelaide, Australia 59099, Australian Agricultural and Resource Economics Society.
    11. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    12. Ousmanou Njikam & Hamidou Azi Alhadji, 2017. "Technical Efficiency among Smallholder Rice Farmers: A Comparative Analysis of Three Agro-ecological Zones in Cameroon," African Development Review, African Development Bank, vol. 29(1), pages 28-43, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Emmanuel Donkor & Victor Owusu, 2019. "Mineral Fertiliser Adoption and Land Productivity: Implications for Securing Stable Rice Production in Northern Ghana," Land, MDPI, vol. 8(4), pages 1-13, April.
    2. Bernard Kissi-Abrokwah & Isaac Aboyom Anontise & Kwame Kodua-Ntim & Emmmanuel Junior Adugbila & Grace Mensah, 2022. "Knowledge Transfer Practices: A Means of Sustainable Career Development among Non-Academic Senior Members in Ghana," Technium Social Sciences Journal, Technium Science, vol. 30(1), pages 41-54, April.
    3. 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.
    4. Eunice Adu Donkor & Elena Garnevska & Muhammad Imran Siddique & Emmanuel Donkor, 2021. "Determinants of Rice Farmer Participation in the Direct Marketing Channel in Ghana," Sustainability, MDPI, vol. 13(9), pages 1-14, April.
    5. Abdul-Rahaman, Awal & Issahaku, Gazali & Zereyesus, Yacob A., 2021. "Improved rice variety adoption and farm production efficiency: Accounting for unobservable selection bias and technology gaps among smallholder farmers in Ghana," Technology in Society, Elsevier, vol. 64(C).
    6. repec:thr:techub:10030:y:2022:i:1:p:41-54 is not listed on IDEAS
    7. Shaibu Baanni Azumah & Abraham Zakaria & Rosaine N. Yegbemey & Philips A. Apalogta & Vishal Dagar & Abass Mahama, 2022. "Climate Smart Production, Gross Income, and Downstream Risk Characterization of Rice Farmers in Ghana," Journal of Agricultural Studies, Macrothink Institute, vol. 10(2), pages 13-35, June.
    8. Awal Abdul‐Rahaman & Awudu Abdulai, 2020. "Social networks, rice value chain participation and market performance of smallholder farmers in Ghana," African Development Review, African Development Bank, vol. 32(2), pages 216-227, June.
    9. Liting Gao & Qianhui Gao & Marcin Lorenc, 2022. "Comparison of Total Factor Productivity of Rice in China and Japan," Sustainability, MDPI, vol. 14(12), pages 1-16, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Khanal, Uttam & Wilson, Clevo & Shankar, Sriram & Hoang, Viet-Ngu & Lee, Boon, 2018. "Farm performance analysis: Technical efficiencies and technology gaps of Nepalese farmers in different agro-ecological regions," Land Use Policy, Elsevier, vol. 76(C), pages 645-653.
    3. Xiangfei Xin & Yi Zhang & Jimin Wang & John Alexander Nuetah, 2016. "Effects of Farm Size on Technical Efficiency in China's Broiler Sector: A Stochastic Meta-Frontier Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 493-516, September.
    4. Asante, Bright O. & Temoso, Omphile & Addai, Kwabena N. & Villano, Renato A., 2019. "Evaluating productivity gaps in maize production across different agroecological zones in Ghana," Agricultural Systems, Elsevier, vol. 176(C).
    5. Roengchai Tansuchat, 2023. "A Copula-Based Meta-Stochastic Frontier Analysis for Comparing Traditional and HDPE Geomembranes Technology in Sea Salt Farming among Farmers in Phetchaburi, Thailand," Agriculture, MDPI, vol. 13(4), pages 1-23, March.
    6. Nan Jiang & Basil Sharp, 2015. "Technical efficiency and technological gap of New Zealand dairy farms: a stochastic meta-frontier model," Journal of Productivity Analysis, Springer, vol. 44(1), pages 39-49, August.
    7. Justina Adwoa ONUMAH & Edward Ebo ONUMAH & Ramatu Mahama AL-HASSAN & Bernhard BRÜMMER, 2013. "Meta-frontier analysis of organic and conventional cocoa production in Ghana," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(6), pages 271-280.
    8. Bahta, Sirak & Baker, Derek & Malope, Patrick & Katijuongua, Hikuepi, 2015. "A metafronteir analysis of determinants of technical efficiency in beef farm types: an application to Botswana," 2015 Conference, August 9-14, 2015, Milan, Italy 211194, International Association of Agricultural Economists.
    9. Farnaz Pourzand & Mohammad Bakhshoodeh, 2014. "Technical effici ency and agricultural sustainability–technology gap of maize producers in Fars province of Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(3), pages 671-688, June.
    10. Thanh Pham Thien Nguyen & Son Hong Nghiem & Eduardo Roca & Parmendra Sharma, 2016. "Efficiency, innovation and competition: evidence from Vietnam, China and India," Empirical Economics, Springer, vol. 51(3), pages 1235-1259, November.
    11. Saeid Hajihassaniasl & Recep Kök, 2016. "Scale effect in Turkish manufacturing industry: stochastic metafrontier analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-17, December.
    12. Richard Adjei Dwumfour & Eric Fosu Oteng-Abayie & Emmanuel Kwasi Mensah, 2022. "Bank efficiency and the bank lending channel: new evidence," Empirical Economics, Springer, vol. 63(3), pages 1489-1542, September.
    13. Phuc Trong Ho & Pham Xuan Hung & Nguyen Duc Tien, 2023. "Effects of varieties and seasons on cost efficiency in rice farming: A stochastic metafrontier approach," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society, vol. 13(2), pages 120-129.
    14. Mercedes Beltrán-Esteve & José Gómez-Limón & Andrés Picazo-Tadeo & Ernest Reig-Martínez, 2014. "A metafrontier directional distance function approach to assessing eco-efficiency," Journal of Productivity Analysis, Springer, vol. 41(1), pages 69-83, February.
    15. Nguyen, Hoa-Thi-Minh & Do, Huong & Kompas, Tom, 2021. "Economic efficiency versus social equity: The productivity challenge for rice production in a ‘greying’ rural Vietnam," World Development, Elsevier, vol. 148(C).
    16. Chiu, Yung-Ho & Lee, Jen-Hui & Lu, Ching-Cheng & Shyu, Ming-Kuang & Luo, Zhengying, 2012. "The technology gap and efficiency measure in WEC countries: Application of the hybrid meta frontier model," Energy Policy, Elsevier, vol. 51(C), pages 349-357.
    17. Huang, Tai-Hsin & Chiang, Dien-Lin & Tsai, Chao-Min, 2015. "Applying the New Metafrontier Directional Distance Function to Compare Banking Efficiencies in Central and Eastern European Countries," Economic Modelling, Elsevier, vol. 44(C), pages 188-199.
    18. Joachim Nyemeck BINAM & Jim GOCKOWSKI & Guy Blaise NKAMLEU, 2008. "Technical Efficiency And Productivity Potential Of Cocoa Farmers In West African Countries," The Developing Economies, Institute of Developing Economies, vol. 46(3), pages 242-263, September.
    19. Kerstens, Kristiaan & O’Donnell, Christopher & Van de Woestyne, Ignace, 2019. "Metatechnology frontier and convexity: A restatement," European Journal of Operational Research, Elsevier, vol. 275(2), pages 780-792.
    20. Honma, Satoshi & Hu, Jin-Li, 2014. "A panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regions," Energy, Elsevier, vol. 78(C), pages 732-739.

    More about this item

    Statistics

    Access and download statistics

    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:bla:afrdev:v:30:y:2018:i:2:p:149-161. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/afdbgci.html .

    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.