| 000 | 03480nab|a22004457a|4500 | ||
|---|---|---|---|
| 001 | 66212 | ||
| 003 | MX-TxCIM | ||
| 005 | 20231018212739.0 | ||
| 008 | 20231s2023||||mx |||p|op||||00||0|eng|d | ||
| 022 | _a0954-1748 | ||
| 022 | _a1099-1328 (Online | ||
| 024 | 8 | _ahttps://doi.org/10.1002/jid.3767 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_aNgoma, H. _8001712572 _gSocioeconomics Program _gSustainable Agrifood Systems _915771 |
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| 245 | 1 | 0 | _aSmallholder farmers' willingness to pay for two-wheel tractor-based mechanisation services in Zambia and Zimbabwe |
| 260 |
_bWiley, _c2023. _aOxford (United Kingdom) : |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aMechanisation is back among top development policy priorities for transforming African smallholder agriculture. Yet previous and ongoing efforts ubiquitously suffer from lack of scientific information on end-user effective demand for different types of mechanical innovations to inform public investment or business development programmes. We assess smallholder farmers' willingness to pay (WTP) for two-wheel tractor (2WT)-based ripping, direct seeding and transportation using a random sample of 2800 smallholder households in Zambia and Zimbabwe. Applying the Becker–DeGroot–Marschak Mechanism (BDM) experimental auctions, we find that at least 50% of sample households in Zambia and Zimbabwe were willing to pay more than the prevailing market prices for ripping. In nominal terms, sample households in Zimbabwe were willing to pay more than those in Zambia for the different services. Empirical results suggest that wealth is the strongest driver of WTP for tillage and seeding 2WT services while labour availability and using animal draft power reduce it. These findings imply a need to (i) raise awareness and create demand for 2WT-based services in an inclusive business manner that does not create perverse incentives and (ii) better target mechanisation to operations with comparative advantage, using approaches that bundle 2WT-based and other mechanisation services with asset-agnostic credit schemes or other interventions meant to overcome asset-mediated barriers. | ||
| 546 | _aText in English | ||
| 591 | _aChipindu, L. : Not in IRS staff list but CIMMYT Affiliation | ||
| 597 |
_aClimate adaptation & mitigation _bMixed Farming Systems _cResilient Agrifood Systems _dNorwegian Agency for Development Cooperation (NORAD) _dCGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) _uhttps://hdl.handle.net/10568/130041 |
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| 650 | 7 |
_aDemand _2AGROVOC _99096 |
|
| 650 | 7 |
_aMechanization _2AGROVOC _95007 |
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| 650 | 7 |
_aTargeting _2AGROVOC _912475 |
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| 650 | 7 |
_aWheeled tractors _2AGROVOC _91764 |
|
| 651 | 7 |
_2AGROVOC _94309 _aZambia |
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| 651 | 7 |
_2AGROVOC _94496 _aZimbabwe |
|
| 700 | 1 |
_aMarenya, P.P. _9787 _8I1705822 _gSustainable Agrifood Systems |
|
| 700 | 1 |
_aTufa, A.H. _914336 |
|
| 700 | 1 |
_aAlene, A.D. _91532 |
|
| 700 | 1 |
_aChipindu, L. _911754 |
|
| 700 | 0 |
_aMd Abdul Matin _8001712567 _gSustainable Intensification Program _gSustainable Agrifood Systems _93694 |
|
| 700 | 1 |
_aThierfelder, C. _9877 _8INT2939 _gSustainable Agrifood Systems |
|
| 700 | 1 |
_aChikoye, D. _96852 |
|
| 773 | 0 |
_tJournal of International Development _gv. 35, no. 7, p. 2107-2128 _dOxford (United Kingdom) : Wiley, 2023. _x1099-1328 _wG444974 |
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| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/22557 |
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| 942 |
_cJA _n0 _2ddc |
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| 999 |
_c66212 _d66204 |
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