IDEAS home Printed from https://ideas.repec.org/a/eee/wdevel/v64y2014icp690-702.html
   My bibliography  Save this article

The Paradigm of Agricultural Efficiency and its Implication on Food Security in Africa: What Does Meta-analysis Reveal?

Author

Listed:
  • Ogundari, Kolawole

Abstract

The study investigates whether African agricultural efficiency levels have been improving or not and what drives them over the years based on 442 frontier studies using meta-regression analysis. The results show that the mean efficiency estimates from studies decrease significantly as year of survey in the primary study increases. Also studies published in Journals, with parametric specification and with panel data produced significantly higher efficiency estimates, while those with a focus on grain crops reported significantly lower efficiency estimates. Other results show that education, followed by experience, extension, and credit are the major drivers of agricultural efficiency levels in Africa.

Suggested Citation

  • Ogundari, Kolawole, 2014. "The Paradigm of Agricultural Efficiency and its Implication on Food Security in Africa: What Does Meta-analysis Reveal?," World Development, Elsevier, vol. 64(C), pages 690-702.
  • Handle: RePEc:eee:wdevel:v:64:y:2014:i:c:p:690-702
    DOI: 10.1016/j.worlddev.2014.07.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305750X14002071
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.worlddev.2014.07.005?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.

    References listed on IDEAS

    as
    1. Raymond J. G. M. Florax & Chiara M. Travisi & Peter Nijkamp, 2005. "A meta-analysis of the willingness to pay for reductions in pesticide risk exposure," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(4), pages 441-467, December.
    2. Esmeralda Ramalho & Joaquim Ramalho & Pedro Henriques, 2010. "Fractional regression models for second stage DEA efficiency analyses," Journal of Productivity Analysis, Springer, vol. 34(3), pages 239-255, December.
    3. Huffman, Wallace E., 2001. "Human capital: Education and agriculture," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 7, pages 333-381, Elsevier.
    4. Fuglie, Keith O. & Wang, Sun Ling, 2012. "Productivity Growth in Global Agriculture Shifting to Developing Countries," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 27(4), pages 1-7.
    5. Bravo-Ureta, Boris E. & Pinheiro, António E., 1993. "Efficiency Analysis of Developing Country Agriculture: A Review of the Frontier Function Literature," Agricultural and Resource Economics Review, Cambridge University Press, vol. 22(1), pages 88-101, April.
    6. Simonetta Longhi & Peter Nijkamp & Jacques Poot, 2005. "A Meta‐Analytic Assessment of the Effect of Immigration on Wages," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 451-477, July.
    7. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528.
    8. Som P. Pudasaini, 1983. "The Effects of Education in Agriculture: Evidence from Nepal," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(3), pages 509-515.
    9. T. D. Stanley, 2008. "Meta‐Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 103-127, February.
    10. Gallet, Craig A., 2007. "The demand for alcohol: a meta-analysis of elasticities," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 1-15.
    11. 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.
    12. Martin, William J., 2013. "Productivity Growth, Trade & Poverty," 2013: Productivity and Its Impacts on Global Trade, June 2-4, 2013. Seville, Spain 152395, International Agricultural Trade Research Consortium.
    13. Alston, Julian M. & Marra, Michele C. & Pardey, Philip G. & Wyatt, T.J., 2000. "Research returns redux: a meta-analysis of the returns to agricultural R&D," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(2), pages 1-31.
    14. M. N. Asadullah & S. Rahman, 2009. "Farm productivity and efficiency in rural Bangladesh: the role of education revisited," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 17-33.
    15. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    16. Malte Reimers & Stephan Klasen, 2013. "Revisiting the Role of Education for Agricultural Productivity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(1), pages 131-152.
    17. Winston Moore & Chrystol Thomas, 2010. "A meta‐analysis of the relationship between debt and growth," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 9(3), pages 214-225, September.
    18. Yu, Bingxin & Nin Pratt, Alejandro, 2011. "Agricultural Productivity and Policies in Sub-Saharan Africa," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 105400, Agricultural and Applied Economics Association.
    19. A. Mugera & A. Ojede, 2014. "Technical Efficiency In African Agriculture: Is It Catching Up Or Lagging Behind?," Journal of International Development, John Wiley & Sons, Ltd., vol. 26(6), pages 779-795, August.
    20. Esmeralda A. Ramalho & Joaquim J.S. Ramalho & José M.R. Murteira, 2011. "Alternative Estimating And Testing Empirical Strategies For Fractional Regression Models," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 19-68, February.
    21. Craig A. Gallet, 2010. "The income elasticity of meat: a meta-analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 477-490, October.
    22. Harald Oberhofer & Michael Pfaffermayr, 2012. "Fractional Response Models - A Replication Exercise of Papke and Wooldridge (1996)," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 6(3), September.
    23. Cox, Christopher, 1996. "Nonlinear quasi-likelihood models: applications to continuous proportions," Computational Statistics & Data Analysis, Elsevier, vol. 21(4), pages 449-461, April.
    24. Ogundari, Kolawole & Abdulai, Awudu, 2013. "Examining the heterogeneity in calorie–income elasticities: A meta-analysis," Food Policy, Elsevier, vol. 40(C), pages 119-128.
    25. Keijiro Otsuka, 2013. "Food insecurity, income inequality, and the changing comparative advantage in world agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 44(s1), pages 7-18, November.
    26. repec:fth:oxesaf:2000-4 is not listed on IDEAS
    27. Subal Kumbhakar & Frank Asche & Ragnar Tveteras, 2013. "Estimation and decomposition of inefficiency when producers maximize return to the outlay: an application to Norwegian fishing trawlers," Journal of Productivity Analysis, Springer, vol. 40(3), pages 307-321, December.
    28. Martin, William J., 2013. "Productivity Growth, Trade and Poverty," 2013: Employment, Immigration and Trade, December 15-17, 2013, Clearwater Beach, Florida 182475, International Agricultural Trade Research Consortium.
    29. Tseday Jemaneh Mekasha & Finn Tarp, 2013. "Aid and Growth: What Meta-Analysis Reveals," Journal of Development Studies, Taylor & Francis Journals, vol. 49(4), pages 564-583, April.
    30. Jon Nelson & Peter Kennedy, 2009. "The Use (and Abuse) of Meta-Analysis in Environmental and Natural Resource Economics: An Assessment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 345-377, March.
    31. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    32. Tomáš Havránek, 2010. "Rose effect and the euro: is the magic gone?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(2), pages 241-261, June.
    33. Stanley, T. D. & Doucouliagos, Hristos, 2013. "Neither fixed nor random: weighted least squares meta-analysis," Working Papers eco_2013_1, Deakin University, Department of Economics.
    34. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    35. Arega D. Alene, 2010. "Productivity growth and the effects of R&D in African agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 41(3‐4), pages 223-238, May.
    36. Nishimizu, Mieko & Page, John M, Jr, 1982. "Total Factor Productivity Growth, Technological Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 1965-78," Economic Journal, Royal Economic Society, vol. 92(368), pages 920-936, December.
    37. Craig A. Gallet, 2010. "Meat Meets Meta: A Quantitative Review of the Price Elasticity of Meat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 258-272.
    38. Craig A. Gallet & John A. List, 2003. "Cigarette demand: a meta‐analysis of elasticities," Health Economics, John Wiley & Sons, Ltd., vol. 12(10), pages 821-835, October.
    39. Laura De Dominicis & Raymond J. G. M. Florax & Henri L. F. De Groot, 2008. "A Meta‐Analysis On The Relationship Between Income Inequality And Economic Growth," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(5), pages 654-682, November.
    40. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    41. Chen, Ping-Yu & Chen, Sheng-Tung & Chen, Chi-Chung, 2012. "Energy consumption and economic growth—New evidence from meta analysis," Energy Policy, Elsevier, vol. 44(C), pages 245-255.
    42. M. N. Asadullah & S. Rahman, 2009. "Farm productivity and efficiency in rural Bangladesh: the role of education revisited," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 17-33.
    Full references (including those not matched with items on IDEAS)

    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. Ogundari, Kolawole & Abdulai, Awudu, 2013. "Examining the heterogeneity in calorie–income elasticities: A meta-analysis," Food Policy, Elsevier, vol. 40(C), pages 119-128.
    2. Ogundari, Kolawole & Abdulai, Awudu, 2012. "A meta-analysis of the response of calorie demand to income changes," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 123287, International Association of Agricultural Economists.
    3. Amikuzuno, Joseph & Ogundari, Kolawole, 2013. "Price transmission Analysis and Associated Policy in Sub-Saharan Africa’s Agricultural Markets: What Does the Literature Say?," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160479, African Association of Agricultural Economists (AAAE).
    4. Amikuzuno, Joseph & Ogundari, Kolawole, 2012. "The Contribution of Agricultural Economics to Price transmission Analysis and Market Policy in Sub-Sahara Africa: What Does the Literature Say?," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134754, Agricultural Economics Society.
    5. Nguyen-Anh, Tuan & Hoang-Duc, Chinh & Tiet, Tuyen & Nguyen-Van, Phu & To-The, Nguyen, 2022. "Composite effects of human, natural and social capitals on sustainable food-crop farming in Sub-Saharan Africa," Food Policy, Elsevier, vol. 113(C).
    6. Justice G. Djokoto & Ferguson K. Gidiglo & Francis Y. Srofenyoh & Kofi Aaron A-O. Agyei-Henaku & Akua A. Afrane Arthur & Charlotte Badu-Prah & John Fry, 2020. "Sectoral and spatio-temporal differentiation in technical efficiency: A meta-regression," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1773659-177, January.
    7. Zhou, De & Yu, Xiaohua & Abler, David & Chen, Danhong, 2020. "Projecting meat and cereals demand for China based on a meta-analysis of income elasticities," China Economic Review, Elsevier, vol. 59(C).
    8. Santeramo, Fabio Gaetano & Shabnam, Nadia, 2015. "The income-elasticity of calories, macro and micro nutrients: What is the literature telling us?," MPRA Paper 63754, University Library of Munich, Germany.
    9. Carolyn‐Thi Thanh Dung Tran & Brian Dollery & Subba Reddy Yarram, 2023. "The Influence of Administrative Intensity on Efficiency: An Empirical Analysis of Australian Universities," Economic Papers, The Economic Society of Australia, vol. 42(3), pages 282-305, September.
    10. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    11. Djokoto, Justice G., 2015. "Technical efficiency of organic agriculture: a quantitative review," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 117(2), pages 1-11, August.
    12. Souza, Geraldo da Silva e & Gomes, Eliane Gonçalves & Alves, Eliseu Roberto de Andrade & Gasques, José Garcia, 2020. "Technological progress in the Brazilian agriculture," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    13. Gutiérrez, Ester & Lozano, Sebastián, 2016. "Efficiency assessment and output maximization possibilities of European small and medium sized airports," Research in Transportation Economics, Elsevier, vol. 56(C), pages 3-14.
    14. Eucabeth Majiwa & Boon L. Lee & Clevo Wilson & Hidemichi Fujii & Shunsuke Managi, 2018. "A network data envelopment analysis (NDEA) model of post-harvest handling: the case of Kenya’s rice processing industry," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(3), pages 631-648, June.
    15. Phuc Trong Ho & Michael Burton & Chunbo Ma & Atakelty Hailu, 2022. "Quantifying heterogeneity, heteroscedasticity and publication bias effects on technical efficiency estimates of rice farming: A meta‐regression analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 580-597, June.
    16. da Silva e Souza, Geraldo & Gomes, Eliane Gonçalves, 2015. "Management of agricultural research centers in Brazil: A DEA application using a dynamic GMM approach," European Journal of Operational Research, Elsevier, vol. 240(3), pages 819-824.
    17. Ogundari, Kolawole, 2009. "A Meta-Analysis Of Technical Efficiency In Nigerian Agriculture," 2009 Conference, August 16-22, 2009, Beijing, China 50327, International Association of Agricultural Economists.
    18. Getu Hailu & Alfons Weersink & Bart Minten, 2017. "Determinants of the Productivity of Teff in Ethiopia," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 29(4), pages 866-892, August.
    19. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    20. Justice G. Djokoto & Korbla F. Gidiglo, 2016. "Technical Efficiency in Agribusiness: A Meta‐Analysis on Ghana," Agribusiness, John Wiley & Sons, Ltd., vol. 32(3), pages 397-415, July.

    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:eee:wdevel:v:64:y:2014:i:c:p:690-702. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/worlddev .

    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.