| 000 | 03015nab|a22004097a|4500 | ||
|---|---|---|---|
| 001 | 69561 | ||
| 003 | MX-TxCIM | ||
| 005 | 20251124133346.0 | ||
| 008 | 251120s2025||||ne |||p|op||||00||0|eng|d | ||
| 022 | _a 2950-4090 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1016/j.csag.2024.100038 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 0 |
_aMichael Gameli Dziwornu _940590 |
|
| 245 | 1 | 0 | _aInstitutional efforts and regional distribution of climate-smart agriculture (CSA) initiatives in Ghana |
| 260 |
_aAmsterdam (Netherlands) : _bElsevier B.V., _c2025. |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aMapping climate-smart agriculture (CSA) initiatives enable countries to account for emissions and develop adaptation measures. While discourse on CSA implementation exists, developing countries lack empirical evidence to support intervention design. This study analyzes actor networks and assesses social benefits through a comprehensive review of 153 CSA projects across Ghana's 16 regions from 1971 to 2023. The Northern region hosted the highest concentration (17 %) of CSA projects, followed by Upper West, Upper East, Bono, Eastern, and Ashanti regions, primarily focusing on drought adaptation. Crop production emerged as the dominant system (56 %), with governmental entities leading 80.4 % of initiatives. Regional variations show post-harvest loss reduction as the primary aim in southern regions, while forestry and aquaculture initiatives concentrate in Eastern and Western regions to address flood vulnerability in degraded landscapes. The study reveals spatial and temporal patterns in Ghana's CSA implementation, identifying gaps in coverage and stakeholder participation. These findings provide an evidence base for policymakers to optimize resource allocation, strengthen underserved regions' climate resilience, and align CSA initiatives with national sustainable development goals. | ||
| 546 | _aText in English | ||
| 591 | _aMponela, P. : No CIMMYT Affiliation | ||
| 597 |
_dCGIAR Trust Fund _dInternational Development Association (IDA) _bExcellence in Agronomy _bMixed Farming Systems _aClimate adaptation & mitigation _cResilient Agrifood Systems _uhttps://hdl.handle.net/10568/163530 |
||
| 650 | 7 |
_aClimate change adaptation _2AGROVOC _95511 |
|
| 650 | 7 |
_aFood security _2AGROVOC _91118 |
|
| 650 | 7 |
_aSustainable agriculture _2AGROVOC _92327 |
|
| 651 | 7 |
_aGhana _2AGROVOC _94493 |
|
| 700 | 1 |
_aMponela, P. _8001714263 _gSustainable Agrifood Systems _921640 |
|
| 700 | 0 |
_aSandra Sawdiatu Inusah _940591 |
|
| 700 | 0 |
_aFred Fosu Agyarko _940592 |
|
| 700 | 1 |
_aYeboah, S. _937991 |
|
| 700 | 0 |
_aOsman Tahidu Damba _940586 |
|
| 700 | 0 |
_aIsaac Boatey Akpatsu _940593 |
|
| 700 | 0 |
_aWuletawu Abera _933557 |
|
| 773 | 0 |
_tClimate Smart Agriculture _gv. 2, no. 1, art. 100038 _dAmsterdam (Netherlands) : Elsevier B.V., 2025. _x2950-4090 |
|
| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/36131 |
|
| 942 |
_cJA _n0 _2ddc |
||
| 999 |
_c69561 _d69553 |
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