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Impact of Improved Maize Varieties on Production Efficiency in Nigeria: Separating Technology from Managerial Gaps

Toba Stephen Olasehinde, Fangbin Qiao and Shiping Mao ()
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Toba Stephen Olasehinde: Institute of Agricultural Economics and Development, Graduate School Chinese Academy of Agricultural Sciences, 12 South Avenue, Beijing 100081, China
Fangbin Qiao: China Economics and Management Academy, Central University of Finance and Economics, 39 South College Road, Beijing 100081, China
Shiping Mao: Institute of Agricultural Economics and Development, Graduate School Chinese Academy of Agricultural Sciences, 12 South Avenue, Beijing 100081, China

Agriculture, 2023, vol. 13, issue 3, 1-14

Abstract: Researchers and policymakers are concerned about the substantial and increasing yield gap between sub-Saharan Africa and the rest of the world. High-yielding improved varieties are widely perceived as a means to close this gap. This study combines impact evaluation and production analysis techniques, which mitigate estimation biases stemming from observed and unobserved heterogeneity, to estimate the effects of improved varieties on maize productivity using a unique, recent, and nationally representative household survey. A linear endogenous treatment–effect model based on a matched sample obtained from propensity score matching indicated that the improved maize varieties increased yield by 38.7%. Simultaneously, selectivity-corrected and stochastic metafrontier approaches show that the yield advantage of improved varieties is mainly due to technological change; however, the technical efficiency of improved varieties is similar to those of traditional varieties.

Keywords: stochastic metafrontier; linear endogenous treatment effect; propensity score matching; sample selection production model; technology adoption; productivity (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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