Skip to main content
Have a personal or library account? Click to login
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:   
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.

Table 1.

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-contract14866.77433.3222
Contract19071.27728.8267
Total33869.115130.9489

[i] Source: own elaboration.

Table 2.

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

Figures in parentheses refer to contract respondents.

** and * denote 1% and 5% levels of significance, respectively.

Source: own elaboration.

Table 3.

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*

Figures in parenthesis refer to non-contract farmers.

** and * denote 1% and 5% levels of significance, respectively.

Source: own elaboration.

Table 4.

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

** and * denote 1% and 5% levels of significance, respectively.

Wald chi2(8) = 171.58, Prob > chi2 = 0.0000 (highly significant, overall model fit is strong), Log pseudolikelihood = −45.0, Pseudo R2 (McFadden) = 0.625

Source: own elaboration.

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
Published by: Poznań University of Life Science
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

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