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Drivers of Participation in Private-Public Partnerships by Coffee Farmers in Uganda Cover

Drivers of Participation in Private-Public Partnerships by Coffee Farmers in Uganda

By: Stephen Lwasa  
Open Access
|Dec 2025

Figures & Tables

Fig. 1.

Conceptual framework that shows variables that define drivers of participation in Public-Private-Partnerships
Source: own elaboration based on PPPU, 2024.
Conceptual framework that shows variables that define drivers of participation in Public-Private-Partnerships Source: own elaboration based on PPPU, 2024.

Composition of respondents by sex, district and status of participation in agribusiness contractual arrangements

DistrictIntervention (contract)Control (non contract)MaleFemaleTotal

Mbale123122125120245
Mubende14410021331244
Total267222338151489

Type of farmerMaleFemaleTotal

n%n%

Non-contract 14866.77433.3222
Contract 19071.27728.8267
Total 33869.115130.9489

Distance (km) to the nearest critical service providing points for the respondents

VariablenMean distance (kms)Std. deviationP
Nearest Tarmac road197 (262)12.3 (11.3)7.4 (7.2)0.243
Nearest Agric. Office191 (259)11.1 (7.9)7.6 (7.0)0.000**
Nearest Market191 (253)5.0 (4.6)3.5 (3.5)0.626
Nearest Govt Health Facility199 (261)5.8 (4.5)5.4 (4.1)0.000**
Nearest Primary School199 (262)2.0 (2.1)3.9 (2.4)0.797
Nearest Input Stockist187 (253)7.7 (6.0)4.2 (3.8)0.033*
District Office188 (255)13.3 (12.4)6.5 (6.1)0.015*
Sub County199 (263)6.7 (6.1)6.8 (4.3)0.571
Private Health Facility198 (261)3.2 (2.5)2.2 (2.3)0.961
Secondary School196 (263)3.6 (3.2)4.0 (3.8)0.142

Determinants of coffee farmers’ participation in agribusiness contractual arrangements

VariableBOdds ratioS.E.P
Distance to agric office–0.0710.930.0320.030*
Distance to weekly market–0.0320.970.0650.617
Sex of the household head0.0601.060.4390.892
Age of the household age0.0301.030.0140.035*
Member in farmer organisation5.059157.90.4010.000**
Owns a radio0.6721.960.7940.397
Owns a mobile Phone–0.5650.570.4180.176
Education level–0.0210.980.0670.759
Constant–3.2030.041.4130.023

Comparison of selected quantitative and categorical variable by category of respondent

Quantitative variablenMeanStd. deviationP

Age of the household age267 (222)46.920 (39.862)15.627 (12.197)0.001**
Education level267 (222)6.492 (6.693)3.297 (3.153)0.496

Categorical variablenFrequencyChi-squareP

Sex of the household head267 (222)male =190 (148)1.1470.165
Member in farmer organisation267 (222)yes = 250 (23)340.8430.001**
Household owns a radio267 (222)yes = 249 (202)870.0000.222
Household owns a mobile phone267 (222)yes = 167 (156)3.2250.044*
DOI: https://doi.org/10.17306/j.jard.2025.4.00036r1 | Journal eISSN: 1899-5772 | Journal ISSN: 1899-5241
Language: English
Page range: 490 - 500
Accepted on: Dec 22, 2025
|
Published on: Dec 30, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Stephen Lwasa, published by The University of Life Sciences in Poznań
This work is licensed under the Creative Commons Attribution 4.0 License.