IDEAS home Printed from https://ideas.repec.org/a/eee/wdevel/v129y2020ics0305750x20300334.html
   My bibliography  Save this article

Decomposition of technical efficiency in agricultural production in Africa into transient and persistent technical efficiency under heterogeneous technologies

Author

Listed:
  • Adom, Philip Kofi
  • Adams, Samuel

Abstract

The agricultural sector remains a cornerstone to Africa’s economic transformation and the achievement of the Sustainable Development Goals (SDGs). However, the sector’s performance, in terms of productivity growth, has been sub-optimal when compared with performances in Asia, America, and Europe. Technical efficiency is a major contributor to the growth in agricultural productivity. However, there is limited research about the sources of technical inefficiency in agricultural production in Africa. This is critical given that Africa has problems with food security and high poverty. This study applied a parametric technique to estimate technical efficiency in Africa’s agricultural sector under heterogeneous technologies, while separating unobserved country-specific heterogeneities from transient and persistent technical efficiency. Data consisted of 49 African countries spanning from 1990 to 2016. Assuming a homogeneous technology, the estimated mean technical efficiency of 38.2%, suggests that, in Africa, about 62% of the potential agricultural output is untapped. However, considering heterogeneity in production technologies, the mean estimated technical efficiency value differed between the two classes. The numbers suggest that about 59% and 69% of untapped potential agricultural output in class one and class two groups, respectively. In all cases, persistent technical inefficiency hinders technical efficiency, an indication that government or regional agricultural policies should be long-term oriented. With the evidence of conditional convergence in technical efficiency, efforts to improve persistent technical efficiency can drive regional targets in food security and poverty alleviation and induce inclusive growth and sustainable development.

Suggested Citation

  • Adom, Philip Kofi & Adams, Samuel, 2020. "Decomposition of technical efficiency in agricultural production in Africa into transient and persistent technical efficiency under heterogeneous technologies," World Development, Elsevier, vol. 129(C).
  • Handle: RePEc:eee:wdevel:v:129:y:2020:i:c:s0305750x20300334
    DOI: 10.1016/j.worlddev.2020.104907
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305750X20300334
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.worlddev.2020.104907?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. Roberto Colombi & Subal Kumbhakar & Gianmaria Martini & Giorgio Vittadini, 2014. "Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency," Journal of Productivity Analysis, Springer, vol. 42(2), pages 123-136, October.
    2. Adeel Ahmed & Evelyn Shyamala Devadason & Dawood Jan, 2017. "Does inward foreign direct investment affect agriculture growth? Some empirical evidence from Pakistan," International Journal of Agricultural Resources, Governance and Ecology, Inderscience Enterprises Ltd, vol. 13(1), pages 60-76.
    3. Schmidt, Peter & Lin, Tsai-Fen, 1984. "Simple tests of alternative specifications in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 24(3), pages 349-361, March.
    4. Ben Slimane, Mehdi & Huchet-Bourdon, Marilyne & Zitouna, Habib, 2016. "The role of sectoral FDI in promoting agricultural production and improving food security," International Economics, Elsevier, vol. 145(C), pages 50-65.
    5. Dawit K. Mekonnen & David J. Spielman & Esendugue Greg Fonsah & Jeffrey H. Dorfman, 2015. "Innovation systems and technical efficiency in developing-country agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 46(5), pages 689-702, September.
    6. World Economic Forum & World Bank & African Development Bank & Organisation for Economic Co-operation and Development, 2015. "The Africa Competitiveness Report 2015," World Bank Publications - Books, The World Bank Group, number 22014, December.
    7. Guy Nkamleu, 2004. "Productivity Growth, Technical Progress and Efficiency Change in African Agriculture," African Development Review, African Development Bank, vol. 16(1), pages 203-222.
    8. Fuglie, Keith O. & Rada, Nicholas E., 2013. "Resources, Policies, and Agricultural Productivity in Sub-Saharan Africa," Economic Research Report 145368, United States Department of Agriculture, Economic Research Service.
    9. Christopher B. Barrett & Michael R. Carter & C. Peter Timmer, 2010. "A Century-Long Perspective on Agricultural Development," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(2), pages 447-468.
    10. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    11. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    12. Astrid Cullmann, 2012. "Benchmarking and firm heterogeneity: a latent class analysis for German electricity distribution companies," Empirical Economics, Springer, vol. 42(1), pages 147-169, February.
    13. Jean Joseph Minviel & Laure Latruffe, 2017. "Effect of public subsidies on farm technical efficiency: a meta-analysis of empirical results," Applied Economics, Taylor & Francis Journals, vol. 49(2), pages 213-226, January.
    14. 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.
    15. Chen, Yi-Yi & Schmidt, Peter & Wang, Hung-Jen, 2014. "Consistent estimation of the fixed effects stochastic frontier model," Journal of Econometrics, Elsevier, vol. 181(2), pages 65-76.
    16. Nin Pratt, Alejandro & Yu, Bingxin, 2008. "An updated look at the recovery of agricultural productivity in Sub-Saharan Africa:," IFPRI discussion papers 787, International Food Policy Research Institute (IFPRI).
    17. IFEGWU, Kalu Ukpai & AJETOMOBI, Joshua Olusegun & AJIBOYE, Babatunde Oluseyi, 2015. "Test Of The Catch-Up Hypothesis In African Agricultural Growth Rates," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 18(2), pages 1-8, September.
    18. Subal C. Kumbhakar & Almas Heshmati, 1995. "Efficiency Measurement in Swedish Dairy Farms: An Application of Rotating Panel Data, 1976–88," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 660-674.
    19. Michael Danquah & Bazoumana Ouattara & Peter Quartey, 2018. "Technology Transfer and National Efficiency: Does Absorptive Capacity Matter?," African Development Review, African Development Bank, vol. 30(2), pages 162-174, June.
    20. 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.
    21. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    22. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    23. Fulginiti, Lilyan E. & Perrin, Richard K. & Yu, Bingxin, 2004. "Institutions and agricultural productivity in Sub-Saharan Africa," Agricultural Economics, Blackwell, vol. 31(2-3), pages 169-180, December.
    24. André Croppenstedt, 2005. "Measuring Technical Efficiency of Wheat Farmers in Egypt," Working Papers 05-06, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    25. Adom, Philip Kofi & Opoku, Eric Evans Osei & Yan, Isabel Kit-Ming, 2019. "Energy demand–FDI nexus in Africa: Do FDIs induce dichotomous paths?," Energy Economics, Elsevier, vol. 81(C), pages 928-941.
    26. Kahsay, Goytom Abraha & Hansen, Lars Gårn, 2016. "The effect of climate change and adaptation policy on agricultural production in Eastern Africa," Ecological Economics, Elsevier, vol. 121(C), pages 54-64.
    27. Croppenstedt, André, 2005. "Measuring technical efficiency of wheat farmers in Egypt," ESA Working Papers 289072, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    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. Nicholas Ngepah & Charles Raoul Tchuinkam Djemo & Charles Shaaba Saba, 2022. "Forecasting the Economic Growth Impacts of Climate Change in South Africa in the 2030 and 2050 Horizons," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    2. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    3. Shi, Hongxu & Xu, Hao & Gao, Wei & Zhang, Jinhao & Chang, Ming, 2022. "The impact of energy poverty on agricultural productivity: The case of China," Energy Policy, Elsevier, vol. 167(C).
    4. Nsabimana, Aimable & Adom, Philip Kofi & Mukamugema, Alice & Ngabitsinze, Jean Chrysostome, 2023. "The short and long run effects of land use consolidation programme on farm input uptakes: Evidence from Rwanda," Land Use Policy, Elsevier, vol. 132(C).
    5. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    6. Peter Brummund & Joshua D. Merfeld, 2022. "Should farmers farm more? Comparing marginal products within Malawian households," Agricultural Economics, International Association of Agricultural Economists, vol. 53(2), pages 289-306, March.
    7. Lei Wang & Zengrui Qi & Qinghua Pang & Yibo Xiang & Yanli Sun, 2020. "Analysis on the Agricultural Green Production Efficiency and Driving Factors of Urban Agglomerations in the Middle Reaches of the Yangtze River," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    8. Jianxu Liu & Changrui Dong & Shutong Liu & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Sources of Total-Factor Productivity and Efficiency Changes in China’s Agriculture," Agriculture, MDPI, vol. 10(7), pages 1-18, July.
    9. Samuel Faria & Sofia Gouveia & João Rebelo, 2022. "Transient and persistent efficiency: an application to Portuguese wineries," Economics and Business Letters, Oviedo University Press, vol. 11(1), pages 16-23.
    10. Narangerel Ganbold & Shah Fahad & Hua Li & Tumendemberel Gungaa, 2022. "An evaluation of subsidy policy impacts, transient and persistent technical efficiency: A case of Mongolia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9223-9242, July.
    11. Mulugeta Y. Birhanu & Tesfahun Alemayehu & Jasmine E. Bruno & Fasil Getachew Kebede & Emmanuel Babafunso Sonaiya & Ezekiel H. Goromela & Oladeji Bamidele & Tadelle Dessie, 2021. "Technical Efficiency of Traditional Village Chicken Production in Africa: Entry Points for Sustainable Transformation and Improved Livelihood," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    12. Zhe Zhao & Pengyu Peng & Fan Zhang & Jiayin Wang & Hongxuan Li, 2022. "The Impact of the Urbanization Process on Agricultural Technical Efficiency in Northeast China," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    13. Boima M. Bernard & Yanping Song & Sehresh Hena & Fayyaz Ahmad & Xin Wang, 2022. "Assessing Africa’s Agricultural TFP for Food Security and Effects on Human Development: Evidence from 35 Countries," Sustainability, MDPI, vol. 14(11), pages 1-21, May.
    14. Zhiwei Pan & Decai Tang & Haojia Kong & Junxia He, 2022. "An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model," IJERPH, MDPI, vol. 19(2), pages 1-15, January.
    15. Lindikaya W. Myeki & Nicolette Matthews & Yonas T. Bahta, 2023. "Decomposition of Green Agriculture Productivity for Policy in Africa: An Application of Global Malmquist–Luenberger Index," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    16. Krzysztof Piotr Pawłowski & Wawrzyniec Czubak & Jagoda Zmyślona, 2021. "Regional Diversity of Technical Efficiency in Agriculture as a Results of an Overinvestment: A Case Study from Poland," Energies, MDPI, vol. 14(11), pages 1-20, June.
    17. Sahrish Saeed & Muhammad Sohail Amjad Makhdum & Sofia Anwar & Muhammad Rizwan Yaseen, 2023. "Climate Change Vulnerability, Adaptation, and Feedback Hypothesis: A Comparison of Lower-Middle, Upper-Middle, and High-Income Countries," Sustainability, MDPI, vol. 15(5), pages 1-25, February.

    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. Heshmati, Almas & C. Kumbhakar, Subal & Kim, Jungsuk, 2016. "Persistent and Transient Efficiency of International Airlines," Working Paper Series in Economics and Institutions of Innovation 444, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    2. Lien, Gudbrand & Kumbhakar, Subal C. & Alem, Habtamu, 2018. "Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop-producing farms," International Journal of Production Economics, Elsevier, vol. 201(C), pages 53-61.
    3. Habtamu ALEM, 2018. "Effects of model specification, short-run, and long-run inefficiency: an empirical analysis of stochastic frontier models," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(11), pages 508-516.
    4. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    5. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    6. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    7. Adetutu, Morakinyo O. & Ajayi, Victor, 2020. "The impact of domestic and foreign R&D on agricultural productivity in sub-Saharan Africa," World Development, Elsevier, vol. 125(C).
    8. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).
    9. Valentin Zelenyuk & Zhichao Wang, 2023. "Random vs. Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals," CEPA Working Papers Series WP052023, School of Economics, University of Queensland, Australia.
    10. Dorgyles C.M. Kouakou, 2022. "Separating innovation short-run and long-run technical efficiencies: Evidence from the Economic Community of West African States (ECOWAS)," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 19(1), pages 103-141, June.
    11. Romero-Jordán, Desiderio & del Río, Pablo, 2022. "Analysing the drivers of the efficiency of households in electricity consumption," Energy Policy, Elsevier, vol. 164(C).
    12. Andrew P. Barnes, 2023. "The role of family life‐cycle events on persistent and transient inefficiencies in less favoured areas," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 295-315, February.
    13. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    14. Berisso Oumer & Heshmati Almas, 2020. "Farm-heterogeneity and persistent and transient productive efficiencies in Ethiopia’s smallholder cereal farming," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-23, January.
    15. Dorgyles C.M. Kouakou, 2022. "Separating innovation short-run and long-run technical efficiencies: Evidence from the Economic Community of West African States (ECOWAS)," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 19(1), pages 103-141, June.
    16. Subal C. Kumbhakar & Gudbrand Lien, 2017. "Yardstick Regulation of Electricity Distribution Disentangling Short-run and Long-run Inefficiencies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    17. Baležentis, Tomas & Sun, Kai, 2020. "Measurement of technical inefficiency and total factor productivity growth: A semiparametric stochastic input distance frontier approach and the case of Lithuanian dairy farms," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1174-1188.
    18. Lindikaya W. Myeki & Yonas T. Bahta & Nicolette Matthews, 2022. "Exploring the Growth of Agricultural Productivity in AFRICA: A Färe-Primont Index Approach," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    19. Badunenko, Oleg & Kumbhakar, Subal C., 2016. "When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models," European Journal of Operational Research, Elsevier, vol. 255(1), pages 272-287.
    20. MAIMOUNA DIAKITE & Jean-François BRUN, 2016. "Tax Potential and Tax Effort: An Empirical Estimation for Non-Resource Tax Revenue and VAT’s Revenue," EcoMod2016 9537, EcoMod.

    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:129:y:2020:i:c:s0305750x20300334. 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.