000 | 02039nab a22003377a 4500 | ||
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999 |
_c62020 _d62012 |
||
001 | 62020 | ||
003 | MX-TxCIM | ||
005 | 20211006085210.0 | ||
008 | 200602s2019 ne ||||| |||| 00| 0 eng d | ||
022 | _a0921-8009 | ||
024 | 8 | _ahttps://doi.org/10.1016/j.ecolecon.2019.03.023 | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 1 |
_913765 _aAdolwa, I.S. |
|
245 | 1 | 0 |
_aImpacts of integrated soil fertility management on yield and household income : _bthe case of Tamale (Ghana) and Kakamega (Kenya) |
260 |
_aAmsterdam (Netherlands) : _bElsevier, _c2019. |
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500 | _aPeer review | ||
520 | _aIntegrated soil fertility management (ISFM) has been widely promoted by research and philanthropic organizations as well as governments to increase crop yields and improve livelihoods of smallholder farmers in Africa. Therefore, it is surprising that there is still scant information on its impact on crop yields and household income. This paper uses a counterfactual model to assess ISFM impact on yields and total household incomes using farm household data from Tamale (Northern Ghana) and Kakamega (Western Kenya). The analyses reveal that ISFM adoption leads to an increase in maize yields by up to 27% in Tamale and 16% in Kakamega. Increasing the number of ISFM components, however, does not improve yields. Despite the effect on yields, adoption of ISFM does not increase total household incomes at both locations. Some implications for future research are discussed. | ||
546 | _aText in English | ||
650 | 7 |
_2AGROVOC _98668 _aImpact assessment |
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650 | 7 |
_2AGROVOC _91952 _aSoil fertility |
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650 | 7 |
_2AGROVOC _91268 _aSoil management |
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650 | 7 |
_aMaize _gAGROVOC _2 _91173 |
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650 | 7 |
_aCrop yield _gAGROVOC _2 _91066 |
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650 | 7 |
_2AGROVOC _99861 _aHousehold income |
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651 | 7 |
_2AGROVOC _91950 _aAfrica South of Sahara |
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700 | 1 |
_913766 _aSchwarze, S. |
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700 | 1 |
_93809 _aBuerkert, A. |
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773 | 0 |
_dAmsterdam (Netherlands) : Elsevier, 2019. _gv. 161, p. 186-192 _tEcological Economics _x0921-8009 |
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942 |
_2ddc _cJA _n0 |