IDEAS home Printed from https://ideas.repec.org/a/eee/wdevel/v171y2023ics0305750x23001833.html
   My bibliography  Save this article

Gender and agricultural Productivity: Econometric evidence from Malawi, Tanzania, and Uganda

Author

Listed:
  • Julien, Jacques C.
  • Bravo-Ureta, Boris E.
  • Rada, Nicholas E.

Abstract

Agricultural productivity gaps between men and women have been widely documented in many sub-Saharan African countries. Fundamentally, though, we contend that women have the same inherent intellectual (and thus farm management) capabilities as men but are inhibited by local conditions that put them at a disadvantage. We, therefore, hypothesize that by controlling for observed socio-economic, geographic, and agro-ecological characteristics, gender related farm productivity gaps would fade. Drawing on the Living Standards Measurement Study–Integrated Surveys on Agriculture for Malawi, Tanzania, and Uganda, we first match on observables to select comparable plots managed by male and female farmers, then estimate correlated true random effects stochastic production frontiers, followed by a meta-frontier to examine total factor productivity (TFP) and benchmarked technical efficiency. At the core of our approach is controlling for systematic observed and unobserved heterogeneity that could bias the comparative analysis. Results are mixed, but they tend to support our hypothesis. In Malawi, where we find market imperfections favor female farmers, women are more efficient than are male farmers and they exhibit TFP performance parity. In contrast, Tanzanian and Ugandan labor market imperfections favor male farmers, as do efficiency and TFP performance estimates.

Suggested Citation

  • Julien, Jacques C. & Bravo-Ureta, Boris E. & Rada, Nicholas E., 2023. "Gender and agricultural Productivity: Econometric evidence from Malawi, Tanzania, and Uganda," World Development, Elsevier, vol. 171(C).
  • Handle: RePEc:eee:wdevel:v:171:y:2023:i:c:s0305750x23001833
    DOI: 10.1016/j.worlddev.2023.106365
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305750X23001833
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.worlddev.2023.106365?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. Hugo Ñopo, 2008. "Matching as a Tool to Decompose Wage Gaps," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 290-299, May.
    2. Arslan, Aslihan & Taylor, J.Edward, 2009. "Farmers' Subjective Valuation of Subsistence Crops: The Case of Traditional Maize in Mexico," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 91(4), pages 1-4, April.
    3. Andrew D. Foster & Mark R. Rosenzweig, 2022. "Are There Too Many Farms in the World? Labor Market Transaction Costs, Machine Capacities, and Optimal Farm Size," Journal of Political Economy, University of Chicago Press, vol. 130(3), pages 636-680.
    4. Giannis Karagiannis & Magnus Kellermann, 2019. "Stochastic frontier models with correlated effects," Journal of Productivity Analysis, Springer, vol. 51(2), pages 175-187, June.
    5. Deininger, Klaus & Xia, Fang & Kilic, Talip & Moylan, Heather, 2021. "Investment impacts of gendered land rights in customary tenure systems: Substantive and methodological insights from Malawi," World Development, Elsevier, vol. 147(C).
    6. Kilic, Talip & Moylan, Heather & Koolwal, Gayatri, 2021. "Getting the (Gender-Disaggregated) lay of the land: Impact of survey respondent selection on measuring land ownership and rights," World Development, Elsevier, vol. 146(C).
    7. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    8. Christopher J. O’Donnell, 2016. "Nonparametric Estimates of the Components of Productivity and Profitability Change in U.S. Agriculture," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 515-541, Springer.
    9. Cliff Huang & Tai-Hsin Huang & Nan-Hung Liu, 2014. "A new approach to estimating the metafrontier production function based on a stochastic frontier framework," Journal of Productivity Analysis, Springer, vol. 42(3), pages 241-254, December.
    10. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    11. Dragana Djurdjevic & Sergiy Radyakin, 2007. "Decomposition of the Gender Wage Gap Using Matching: An Application for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 143(IV), pages 365-396, December.
    12. Stein Holden & Bekele Shiferaw & John Pender, 2001. "Market Imperfections and Land Productivity in the Ethiopian Highlands," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(3), pages 53-70, September.
    13. Hirpa Tufa, Adane & Alene, Arega D. & Cole, Steven M. & Manda, Julius & Feleke, Shiferaw & Abdoulaye, Tahirou & Chikoye, David & Manyong, Victor, 2022. "Gender differences in technology adoption and agricultural productivity: Evidence from Malawi," World Development, Elsevier, vol. 159(C).
    14. 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.
    15. Lamb, Russell L., 2003. "Inverse productivity: land quality, labor markets, and measurement error," Journal of Development Economics, Elsevier, vol. 71(1), pages 71-95, June.
    16. Doss, Cheryl R. & Morris, Michael L., 2001. "How does gender affect the adoption of agricultural innovations?: The case of improved maize technology in Ghana," Agricultural Economics, Blackwell, vol. 25(1), pages 27-39, June.
    17. Mehdi Farsi & Massimo Filippini & William Greene, 2005. "Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies," Journal of Regulatory Economics, Springer, vol. 28(1), pages 69-90, July.
    18. 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.
    19. Hanan G. Jacoby, 1993. "Shadow Wages and Peasant Family Labour Supply: An Econometric Application to the Peruvian Sierra," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(4), pages 903-921.
    20. Doss, Cheryl & Malapit, Hazel J. & Comstock, Andrew, 2020. "Methods for measuring women's empowerment," Other briefs 134044, International Food Policy Research Institute (IFPRI).
    21. R. Wendy Karamba & Paul C. Winters, 2015. "Gender and agricultural productivity: implications of the Farm Input Subsidy Program in Malawi," Agricultural Economics, International Association of Agricultural Economists, vol. 46(3), pages 357-374, May.
    22. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    23. Talip Kilic & Paul Winters & Calogero Carletto, 2015. "Gender and agriculture in sub-Saharan Africa: introduction to the special issue," Agricultural Economics, International Association of Agricultural Economists, vol. 46(3), pages 281-284, May.
    24. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    25. Ogutu, Sylvester Ochieng & Okello, Julius Juma & Otieno, David Jakinda, 2014. "Impact of Information and Communication Technology-Based Market Information Services on Smallholder Farm Input Use and Productivity: The Case of Kenya," World Development, Elsevier, vol. 64(C), pages 311-321.
    26. Derek Headey & Mohammad Alauddin & D.S. Prasada Rao, 2010. "Explaining agricultural productivity growth: an international perspective," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 1-14, January.
    27. Florent Kinkingninhoun-Mêdagbé & Aliou Diagne & Franklin Simtowe & Afiavi Agboh-Noameshie & Patrice Adégbola, 2010. "Gender discrimination and its impact on income, productivity, and technical efficiency: evidence from Benin," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 27(1), pages 57-69, March.
    28. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    29. Bravo-Ureta, Boris E. & Higgins, Daniel & Arslan, Aslihan, 2020. "Irrigation infrastructure and farm productivity in the Philippines: A stochastic Meta-Frontier analysis," World Development, Elsevier, vol. 135(C).
    30. Sherlund, Shane M. & Barrett, Christopher B. & Adesina, Akinwumi A., 2002. "Smallholder technical efficiency controlling for environmental production conditions," Journal of Development Economics, Elsevier, vol. 69(1), pages 85-101, October.
    31. Tambo, Justice A. & Matimelo, Mathews & Ndhlovu, Mathias & Mbugua, Fredrick & Phiri, Noah, 2021. "Gender-differentiated impacts of plant clinics on maize productivity and food security: Evidence from Zambia," World Development, Elsevier, vol. 145(C).
    32. Carlos D. Mayen & Joseph V. Balagtas & Corinne E. Alexander, 2010. "Technology Adoption and Technical Efficiency: Organic and Conventional Dairy Farms in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 181-195.
    33. Amber Peterman & Agnes Quisumbing & Julia Behrman & Ephraim Nkonya, 2011. "Understanding the Complexities Surrounding Gender Differences in Agricultural Productivity in Nigeria and Uganda," Journal of Development Studies, Taylor & Francis Journals, vol. 47(10), pages 1482-1509.
    34. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    35. Andre Croppenstedt & Markus Goldstein & Nina Rosas, 2013. "Gender and Agriculture: Inefficiencies, Segregation, and Low Productivity Traps," The World Bank Research Observer, World Bank, vol. 28(1), pages 79-109, February.
    36. Martin Huber & Michael Lechner & Andreas Steinmayr, 2015. "Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour," Empirical Economics, Springer, vol. 49(1), pages 1-31, August.
    37. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    38. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    39. Mahajan, Kanika, 2019. "Back to the plough: Women managers and farm productivity in India," World Development, Elsevier, vol. 124(C), pages 1-1.
    40. Christopher B. Barrett & Shane M. Sherlund & Akinwumi A. Adesina, 2008. "Shadow wages, allocative inefficiency, and labor supply in smallholder agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 21-34, January.
    41. Udry, Christopher, 1996. "Gender, Agricultural Production, and the Theory of the Household," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 1010-1046, October.
    42. Arturo Aguilar & Eliana Carranza & Markus Goldstein & Talip Kilic & Gbemisola Oseni, 2015. "Decomposition of gender differentials in agricultural productivity in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(3), pages 311-334, May.
    43. Alene, Arega D. & Manyong, Victor M. & Omanya, Gospel O. & Mignouna, Hodeba D. & Bokanga, Mpoko & Odhiambo, George D., 2008. "Economic Efficiency and Supply Response of Women as Farm Managers: Comparative Evidence from Western Kenya," World Development, Elsevier, vol. 36(7), pages 1247-1260, July.
    44. Chamboko, Richard & Cull, Robert & Giné, Xavier & Heitmann, Soren & Reitzug, Fabian & Westhuizen, Morne Van Der, 2021. "The role of gender in agent banking: Evidence from the Democratic Republic of Congo," World Development, Elsevier, vol. 146(C).
    45. Doss, Cheryl R., 2001. "Designing Agricultural Technology for African Women Farmers: Lessons from 25 Years of Experience," World Development, Elsevier, vol. 29(12), pages 2075-2092, December.
    46. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    47. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    48. 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.
    49. Awudu Abdulai & Hendrik Tietje, 2007. "Estimating technical efficiency under unobserved heterogeneity with stochastic frontier models: application to northern German dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 34(3), pages 393-416, September.
    50. Alexandra E. Hill & Jesse Burkhardt, 2021. "Peers in the Field: The Role of Ability and Gender in Peer Effects among Agricultural Workers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 790-811, May.
    51. Kosuke Imai & Marc Ratkovic, 2014. "Covariate balancing propensity score," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 243-263, January.
    52. 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.
    53. Maria Martinez Cillero & Michael Wallace & Fiona Thorne & James Breen, 2021. "Analyzing the Impact of Subsidies on Beef Production Efficiency in Selected European Union Countries. A Stochastic Metafrontier Approach," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1903-1923, October.
    54. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    55. Gbemisola Oseni & Paul Corral & Markus Goldstein & Paul Winters, 2015. "Explaining gender differentials in agricultural production in Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 46(3), pages 285-310, May.
    56. Eric Njuki & Boris E. Bravo-Ureta & Christopher J. O’Donnell, 2019. "Decomposing agricultural productivity growth using a random-parameters stochastic production frontier," Empirical Economics, Springer, vol. 57(3), pages 839-860, September.
    57. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
    58. Nicholas Rada & William Liefert & Olga Liefert, 2020. "Evaluating Agricultural Productivity and Policy in Russia," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(1), pages 96-117, February.
    59. Julien, Jacques C. & Bravo-Ureta, Boris E. & Rada, Nicholas E., 2019. "Assessing farm performance by size in Malawi, Tanzania, and Uganda," Food Policy, Elsevier, vol. 84(C), pages 153-164.
    60. Vanya Slavchevska, 2015. "Gender differences in agricultural productivity: the case of Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 46(3), pages 335-355, May.
    61. Shahidur R. Khandker & Gayatri B. Koolwal & Hussain A. Samad, . "Handbook on Impact Evaluation : Quantitative Methods and Practices," World Bank Publications, The World Bank, number 2693, September.
    62. Guo, Qian & Song, Yang & Sun, Wenkai & Wang, Yijie, 2016. "Gender differences in performance-based pay: Evidence from a Chinese University," China Economic Review, Elsevier, vol. 41(C), pages 104-113.
    63. 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.
    64. Mehdi Farsi & Massimo Filippini & Michael Kuenzle, 2005. "Unobserved heterogeneity in stochastic cost frontier models: an application to Swiss nursing homes," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2127-2141.
    65. Eric Njuki & Boris E. Bravo-Ureta, 2019. "Examining irrigation productivity in U.S. agriculture using a single-factor approach," Journal of Productivity Analysis, Springer, vol. 51(2), pages 125-136, June.
    66. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, December.
    67. Ndiritu, S. Wagura & Kassie, Menale & Shiferaw, Bekele, 2014. "Are there systematic gender differences in the adoption of sustainable agricultural intensification practices? Evidence from Kenya," Food Policy, Elsevier, vol. 49(P1), pages 117-127.
    68. Michee Arnold Lachaud & Boris E. Bravo-Ureta & Carlos E. Ludena, 2017. "Agricultural productivity in Latin America and the Caribbean in the presence of unobserved heterogeneity and climatic effects," Climatic Change, Springer, vol. 143(3), pages 445-460, August.
    69. Mengesha, Ayelech Kidie & Damyanovic, Doris & Mansberger, Reinfried & Agegnehu, Sayeh Kassaw & Stoeglehner, Gernot, 2021. "Reducing gender inequalities through land titling? The case of Gozamin Woreda," World Development, Elsevier, vol. 145(C).
    70. Markus Frölich, 2007. "Propensity score matching without conditional independence assumption--with an application to the gender wage gap in the United Kingdom," Econometrics Journal, Royal Economic Society, vol. 10(2), pages 359-407, July.
    71. Fangbin Qiao & Jikun Huang, 2020. "Technical Efficiency of Bacillus thuringiensis Cotton in China: Results from Household Surveys," Economic Development and Cultural Change, University of Chicago Press, vol. 68(3), pages 947-963.
    72. de la O Campos, Ana Paula & Covarrubias, Katia Alejandra & Prieto Patron, Alberto, 2016. "How Does the Choice of the Gender Indicator Affect the Analysis of Gender Differences in Agricultural Productivity? Evidence from Uganda," World Development, Elsevier, vol. 77(C), pages 17-33.
    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. Ruggiero Sardaro & Daniela Panio & Paweł Chmieliński & Piermichele La Sala, 2024. "Efficiency of the Integrated Production Systems: Evidence from the Winegrowing Firms in Italy," Sustainability, MDPI, vol. 16(11), 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. Owusu, Eric S. & Bravo-Ureta, Boris E., 2022. "Reap when you sow? The productivity impacts of early sowing in Malawi," Agricultural Systems, Elsevier, vol. 199(C).
    2. Neubauer, Florian & Songsermsawas, Tisorn & Kámiche-Zegarra, Joanna & Bravo-Ureta, Boris E., 2022. "Technical efficiency and technological gaps correcting for selectivity bias: Insights from a value chain project in Nepal," Food Policy, Elsevier, vol. 112(C).
    3. Fukase,Emiko & Kim,Yeon Soo & Chiarella,Cristina Andrea, 2022. "Exploring the Sources of the Agricultural Productivity Gender Gap : Evidence from Sri Lanka," Policy Research Working Paper Series 10025, The World Bank.
    4. Julien, Jacques C. & Bravo-Ureta, Boris E. & Rada, Nicholas E., 2019. "Assessing farm performance by size in Malawi, Tanzania, and Uganda," Food Policy, Elsevier, vol. 84(C), pages 153-164.
    5. Ali, Daniel & Bowen, Derick & Deininger, Klaus & Duponchel, Marguerite, 2016. "Investigating the Gender Gap in Agricultural Productivity: Evidence from Uganda," World Development, Elsevier, vol. 87(C), pages 152-170.
    6. Lajos Baráth & Imre Fertő & Heinrich Hockmann, 2020. "Technological Differences, Theoretical Consistency, and Technical Efficiency: The Case of Hungarian Crop-Producing Farms," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    7. Hirpa Tufa, Adane & Alene, Arega D. & Cole, Steven M. & Manda, Julius & Feleke, Shiferaw & Abdoulaye, Tahirou & Chikoye, David & Manyong, Victor, 2022. "Gender differences in technology adoption and agricultural productivity: Evidence from Malawi," World Development, Elsevier, vol. 159(C).
    8. Doss, Cheryl, 2015. "Women and Agricultural Productivity: What Does the Evidence Tell Us?," Center Discussion Papers 212153, Yale University, Economic Growth Center.
    9. Bravo-Ureta, Boris E. & Njuki, Eric & Palacios, Ana Claudia & Salazar, Lina, 2022. "Agricultural Productivity in El Salvador: A Preliminary Analysis," IDB Publications (Working Papers) 11984, Inter-American Development Bank.
    10. Arturo Aguilar & Eliana Carranza & Markus Goldstein & Talip Kilic & Gbemisola Oseni, 2015. "Decomposition of gender differentials in agricultural productivity in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(3), pages 311-334, May.
    11. Bopp, Carlos & Jara-Rojas, Roberto & Bravo-Ureta, Boris & Engler, Alejandra, 2022. "Irrigation water use, shadow values and productivity: Evidence from stochastic production frontiers in vineyards," Agricultural Water Management, Elsevier, vol. 271(C).
    12. Bravo-Ureta, Boris E. & Higgins, Daniel & Arslan, Aslihan, 2020. "Irrigation infrastructure and farm productivity in the Philippines: A stochastic Meta-Frontier analysis," World Development, Elsevier, vol. 135(C).
    13. Boris E. Bravo‐Ureta & Víctor H. Moreira & Javier L. Troncoso & Alan Wall, 2020. "Plot‐level technical efficiency accounting for farm‐level effects: Evidence from Chilean wine grape producers," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 811-824, November.
    14. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2020. "The Effect of Investment, LFA and Agri‐environmental Subsidies on the Components of Total Factor Productivity: The Case of Slovenian Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 853-876, September.
    15. Araar, Abdelkrim, 2021. "The Gender Gap in Smallholder Agricultural Productivity: The Case of Cameroon," 2021 Conference, August 17-31, 2021, Virtual 315902, International Association of Agricultural Economists.
    16. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    17. Kwabena Nyarko Addai & Wencong Lu & Omphile Temoso, 2021. "Are Female Rice Farmers Less Productive than Male Farmers? Micro-evidence from Ghana," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(6), pages 1997-2039, December.
    18. Mahajan, Kanika, 2019. "Back to the plough: Women managers and farm productivity in India," World Development, Elsevier, vol. 124(C), pages 1-1.
    19. Mukasa Adamon N. & Adeleke Oluwole Salami, 2016. "Working Paper 231 - Gender productivity differentials among smallholder farmers in Africa: A cross-country comparison," Working Paper Series 2324, African Development Bank.
    20. Gondwe, Therese & Tegbaru, A. & Oladeji, Alamu E. & Khonje, Makaiko & Manda, J. & Gaya, H., 2017. "Correlates and consequences of women’s participation in the cowpea value chain in eastern Zambia," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 56(3), July.

    More about this item

    Keywords

    Gender gap; sub-Saharan Africa; Stochastic production frontier; Total factor productivity; Technical efficiency; Stochastic meta-frontier; Correlated true random effects;
    All these keywords.

    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

    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:eee:wdevel:v:171:y:2023:i:c:s0305750x23001833. 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.