000 | 02947nab a22004337a 4500 | ||
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999 |
_c56884 _d56876 |
||
001 | 56884 | ||
003 | MX-TxCIM | ||
005 | 20230306221928.0 | ||
008 | 150513s2015 ne |||p|op||| 00| 0 eng d | ||
022 | _a0169-5150 | ||
022 | _a1574-0862 (Online) | ||
024 | 8 | _ahttps://doi.org/10.1111/agec.12175 | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 1 |
_9696 _aShiferaw, B. |
|
245 | 1 | 0 |
_aMarket imperfections, access to information and technology adoption in Uganda : _bchallenges of overcoming multiple constraints |
260 |
_aAmsterdam (Netherlands) : _bIAAE : _bWiley, _c2015. |
||
500 | _aPeer review | ||
520 | _aLimited empirical evidence exists on how multiple binding constraints influence the adoption of improved technologies by smallholder farmers. This article uses the case of groundnut variety adoption in Uganda to investigate the role of information, seed supply, and credit constraints in conditioning technology uptake. New data from a household survey in seven groundnut growing districts (n = 945) indicate that 8% of farmers lack information on new varieties, while 18% and 6% of farmers, respectively, cannot adopt mainly due to seed supply and capital constraints. A tobit-type specification that considers all nonadopters as being uninterested in the technology (i.e., corner solutions) would lead to inconsistent parameter estimates and incorrect conclusions in this context. We therefore estimate a modified multi-hurdle specification of demand for new varieties, taking into account how information, seed supply, and capital constraints jointly determine adoption probability and intensity. The study reveals new empirical insights on why agricultural technology adoption in Africa has lagged behind: slow uptake is not mainly due to a lack of economic incentives, but rather a reflection of information, seed supply, and credit constraints that prevent farmers from translating their desired demand into adoption of modern varieties. Policy implications are discussed. | ||
526 | _dNon-CRP | ||
536 | _aSocioeconomics Program | ||
546 | _aText in English | ||
591 | _bCIMMYT Informa in process | ||
594 | _aINT3096 | ||
594 | _aINT3350 | ||
650 | 0 |
_aTechnology _gAGROVOC _91988 |
|
650 | 7 |
_aInnovation adoption _gAGROVOC _2 _91160 |
|
650 | 7 |
_2AGROVOC _93765 _aMarkets |
|
650 | 7 |
_2AGROVOC _99031 _aInformation |
|
650 | 7 |
_2AGROVOC _92338 _aGroundnuts |
|
651 | 7 |
_2AGROVOC _91316 _aAfrica |
|
651 | 7 |
_2AGROVOC _99554 _aUganda |
|
700 | 1 |
_aKebede, T. _9154 |
|
700 | 1 |
_9890 _aKassie, M. _gSocioeconomics Program _8INT3096 |
|
700 | 1 |
_aFisher, M. _gSocioeconomics Program _gSustainable Agrifood Systems _8INT3350 _8001713678 _9931 |
|
773 | 0 |
_wu444456 _aIAAE _x1574-0862 (Online) _dAmsterdam (Netherlands) : IAAE : Wiley, 2015. _tAgricultural Economics _gv. 46, no. 4, p. 475-488 |
|
856 | 4 |
_uhttps://hdl.handle.net/20.500.12665/1145 _yAccess only for CIMMYT Staff |
|
942 |
_2ddc _cJA _n0 |