000 | 02792nab a22003497a 4500 | ||
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_c62540 _d62532 |
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001 | 62540 | ||
003 | MX-TxCIM | ||
005 | 20230615194645.0 | ||
008 | 200212s2020 xxk|||p|op||| 00| 0 eng d | ||
022 | _a2452-2929 | ||
024 | 8 | _ahttps://doi.org/10.1016/j.wdp.2020.100206 | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 1 |
_92173 _aTeklewold, H. |
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245 | 1 | 0 | _aWhat explains the gender differences in the adoption of multiple maize varieties? Empirical evidence from Uganda and Tanzania |
260 |
_aUnited Kingdom : _bElsevier, _c2020. |
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500 | _aPeer review | ||
500 | _aOpen Access | ||
520 | _aUnderstanding the process that underpins the effective and equitable adoption of modern crop varieties remains an imperative for agricultural development in Africa. This study examines gender differences in adoption rates and determinants of the decision to adopt drought-tolerant (DT) and non-drought-tolerant (ND) maize varieties, based on analysis of maize production data from Tanzania and Uganda. Applying a switching regression with multinomial logit models, we exploit plot level adoption decisions by women and men individually or jointly with in the household, controlling for gender dimension of resource ownership along with other covariates. We find gender differences in the adoption rates for both DT and ND. The results suggest substitution effects noticeable in the decision to use one maize variety rather than another. As the size of the area about which both spouses are jointly owned increases, so does the likelihood that they will adopt DT. Furthermore, DT adoption is also more likely if farmers have experienced frequent climate shocks and dry spells in the past growing seasons. The differences in adoption behavior between men and women jointly or individually are attributable to a combination of the levels and returns of physical- and social-capital factors, as well as to structural issues. One important policy implication of the results is the need for targeted and disaggregated strategies for scaling modern maize varieties, instead of one-size-fits-all approaches. | ||
546 | _aText in English | ||
650 | 7 |
_aInnovation adoption _gAGROVOC _2 _91160 |
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650 | 7 |
_2AGROVOC _91123 _aGender |
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650 | 7 |
_aMaize _gAGROVOC _2 _91173 |
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650 | 7 |
_aVarieties _gAGROVOC _2 _91303 |
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651 | 7 |
_94101 _aUnited Republic of Tanzania _2AGROVOC |
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651 | 7 |
_99554 _aUganda _2AGROVOC |
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700 | 1 |
_aAdam, R.I. _8I1706908 _gSocioeconomics Program _92710 |
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700 | 1 |
_aMarenya, P.P. _gSocioeconomics Program _gSustainable Agrifood Systems _8I1705822 _9787 |
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773 | 0 |
_dUnited Kingdom : Elsevier, 2020. _gv. 18, art. 100206 _tWorld Development Perspectives _x2452-2929 |
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856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/20948 |
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942 |
_2ddc _cJA _n0 |