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Can site-specific recommendations reduce technology and managerial gaps? Evidence from RiceAdvice in the Senegal River Valley

Author

Listed:
  • Aminou Arouna

    (Africa Rice Center
    University of Parakou)

  • Eric S. Owusu

    (University of Maryland)

  • Wilfried Gnipabo Yergo

    (Africa Rice Center)

  • Jacob A. Yabi

    (University of Parakou)

Abstract

This paper assesses the effects of the adoption of site-specific recommendations generated through an Android app called RiceAdvice on rice farmers’ technological advantage and managerial performance in the Senegal River Valley (SRV). The study uses data collected through multi-stratified sampling procedures and comprises 1200 adopters and non-adopters of the app. Our approach involves addressing both selection bias and differences in production technologies to evaluate the causal impact of the app. Impacts are evaluated through a framework that couples recent selectivity-correction stochastic production frontier and metafrontier techniques with statistical matching. Based on these frontiers, the technical efficiency, technology gap ratio, and meta-technical efficiency are calculated as the bases for examining impacts. We found that production technologies are systematically different between adopters and non-adopters and the results noted the presence of selection bias, although only for adopters. The mean technology gap ratios are 94.5% for adopters and 76.6% for non-adopters, suggesting that relative to the latter, the former group produces approximately 18% more of the potential rice output associated with the best-practice technology. We estimate mean meta-technical efficiencies of 72.5% and 57.4% for adopters and non-adopters, respectively, which translate into a statistically significant managerial performance differential of approximately 15% points. Therefore, adoption of the RiceAdvice app enhances the production possibilities and managerial performance of rice farmers in the SRV. Efforts at mainstreaming the app in regular extension as well as reducing barriers to app access through a sustainable business model may help increase the impacts.

Suggested Citation

  • Aminou Arouna & Eric S. Owusu & Wilfried Gnipabo Yergo & Jacob A. Yabi, 2025. "Can site-specific recommendations reduce technology and managerial gaps? Evidence from RiceAdvice in the Senegal River Valley," Empirical Economics, Springer, vol. 69(3), pages 1259-1285, September.
    • Handle: RePEc:spr:empeco:v:69:y:2025:i:3:d:10.1007_s00181-025-02766-5
    DOI: 10.1007/s00181-025-02766-5
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    1. Yujiro Hayami, 1969. "Sources of Agricultural Productivity Gap Among Selected Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(3), pages 564-575.
    2. 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.
    3. 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.
    4. 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.
    5. Mgomezulu, Wisdom Richard & Edriss, Abdi-Khalil & Machira, Kennedy & Pangapanga-Phiri, Innocent, 2023. "Towards sustainability in the adoption of sustainable agricultural practices: Implications on household poverty, food and nutrition security," Innovation and Green Development, Elsevier, vol. 2(3).
    6. 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.
    7. Dong, Ying & Mu, Yueying & Abler, David, 2019. "Do Farmer Professional Cooperatives Improve Technical Efficiency and Income? Evidence from Small Vegetable Farms in China," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 51(4), pages 591-605, November.
    8. Kondwani G. Munthali & Yuji Murayama, 2013. "Interdependences between Smallholder Farming and Environmental Management in Rural Malawi: A Case of Agriculture-Induced Environmental Degradation in Malingunde Extension Planning Area (EPA)," Land, MDPI, vol. 2(2), pages 1-18, April.
    9. Victor Owusu & Emmanuel Donkor & Enoch Owusu†Sekyere, 2018. "Accounting for the Gender Technology Gap Amongst Smallholder Rice Farmers in Northern Ghana," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 439-457, June.
    10. Boris Bravo-Ureta & William Greene & Daniel Solís, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
    11. Boris E. Bravo‐Ureta & Mario González‐Flores & William Greene & Daniel Solís, 2021. "Technology and Technical Efficiency Change: Evidence from a Difference in Differences Selectivity Corrected Stochastic Production Frontier Model," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 362-385, January.
    12. Hung-pin Lai, 2015. "Maximum likelihood estimation of the stochastic frontier model with endogenous switching or sample selection," Journal of Productivity Analysis, Springer, vol. 43(1), pages 105-117, February.
    13. 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).
    14. Tjernström, Emilia & Lybbert, Travis J. & Hernández, Rachel Frattarola & Correa, Juan Sebastian, 2021. "Learning by (virtually) doing: Experimentation and belief updating in smallholder agriculture," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 28-50.
    15. Amoussohoui, Rico & Arouna, Aminou & Bavorova, Miroslava & Tsangari, Haritini & Banout, Jan, 2022. "An extended Canvas business model: A tool for sustainable technology transfer and adoption," Technology in Society, Elsevier, vol. 68(C).
    16. Zheng, Hongyun & Ma, Wanglin & Wang, Fang & Li, Gucheng, 2021. "Does internet use improve technical efficiency of banana production in China? Evidence from a selectivity-corrected analysis," Food Policy, Elsevier, vol. 102(C).
    17. Dongshi Chen & Hongdong Guo & Qianqian Zhang & Songqing Jin, 2022. "E-commerce Adoption and Technical Efficiency of Wheat Production in China," Sustainability, MDPI, vol. 14(3), pages 1-18, January.
    18. 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.
    19. Voss, Rachel C. & Jansen, Tony & Mané, Bacary & Shennan, Carol, 2021. "Encouraging technology adoption using ICTs and farm trials in Senegal: Lessons for gender equity and scaled impact," World Development, Elsevier, vol. 146(C).
    20. Manzoor H. Dar & Dilruba A. Bano & Showkat A. Waza & Najam W. Zaidi & Asma Majid & Asif B. Shikari & M. Ashraf Ahangar & Mosharaf Hossain & Arvind Kumar & Uma S. Singh, 2021. "Abiotic Stress Tolerance-Progress and Pathways of Sustainable Rice Production," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    21. Subal Kumbhakar & Efthymios Tsionas & Timo Sipiläinen, 2009. "Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming," Journal of Productivity Analysis, Springer, vol. 31(3), pages 151-161, June.
    22. 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).
    23. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    24. Olawale Oladipo Adejuwon, 2019. "User-producer interactions: Policy implications for developing appropriate innovations for small-scale agricultural production in sub-Saharan Africa," African Journal of Science, Technology, Innovation and Development, Taylor & Francis Journals, vol. 11(1), pages 1-12, January.
    25. 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.
    26. Shaibu Baanni Azumah & Samuel Arkoh Donkoh & Joseph Agebase Awuni, 2019. "Correcting for sample selection in stochastic frontier analysis: insights from rice farmers in Northern Ghana," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-15, December.
    27. Jacques C. Julien & Boris E. Bravo-Ureta & Nicholas E. Rada, 2021. "Productive efficiency and farm size in East Africa," Agrekon, Taylor & Francis Journals, vol. 60(3), pages 209-226, July.
    28. Julien, Jacques C. & Bravo-Ureta, Boris E. & Rada, Nicholas E., 2021. "Productive efficiency and farm size in East Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 60(3), August.
    29. Renato Villano & Boris Bravo-Ureta & Daniel Solís & Euan Fleming, 2015. "Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(1), pages 129-154, February.
    30. repec:zwi:journl:v:43:y:2012:i:1:p:55-72 is not listed on IDEAS
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    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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