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Determinants of the Intensity of Adoption of Cocoa Rehabilitation Techniques among Farmers in Nigeria Cover

Determinants of the Intensity of Adoption of Cocoa Rehabilitation Techniques among Farmers in Nigeria

Open Access
|Dec 2025

Figures & Tables

Table 1.

Socioeconomic characteristics of cocoa farmers (150)

VariableFrequencyPercentageMean ±Sd
Age
≤40912
41–55395251.05 ±7.69
56+2736
Gender
Male11073.3
Female4026.7
Marital status
Single85.3
Married12684
Widow64
Divorced106.7
Educational status
No formal education85.3
Primary education126844.91 ±2.77
Secondary education34.0
Tertiary education56.7
Household size
≤53624
6–126241.310.39 ±5.88
13–194228
≥20106.7
Experience
≤208053.3
21–355234.721.43±11.64
36+1812
Farm size
≤0.51812
0.6–2.9102682.04 ±1.42
3.0–5.32617.3
5.4+82.7
Age of cocoa trees
≤3012281.319.02 ±13.42
31–39106.7
40–48149.3
≥4942.7

[i] Source: field survey, 2024.

Table 2.

Level of adoption of Cocoa Rehabilitation Techniques (CRTs) (%)

TechniqueNot integrated freqSlightly integrated freqModerately integrated freqMostly integrated freqFully integrated freq
Pruning14(9.4)42(28.2)37(24.4)10(6.8)12(8.3)
Fertilizer application15(9.8)21(13.9)33(222)11(7.5)5(3.0)
Pesticide application7(4.9)16(10.9)54(35.7)28(18.4)14(9.4)
Grafting42(27.8)5(3.0)3(2.3)0(0.0)0(0.0)
Coppicing32(21.4)8(5.3)13(8.7)2(1.1)1(0.4)
Phase replanting8(5.6)26(17.3)39(26.3)7(4.5)2(1.1)
Complete planting21(14.3)8(5.6)21(14.9)6(3.8)1(0.8)
Use of improved seedlings2(1.1)6(3.8)39(25.9)13(8.7)24(16.2)
Shade tree management11(7.5)24(15.8)20(13.2)13(8.7)2(1.1)

[i] Source: field survey, 2024.

Table 3.

Results of the determinants of CRTs

VariableCoeffOdds ratioP valuedy/dx (low)dy/dx (moderate)dy/dx (high)
Gender−0.14360.86620.7260.02050.0016−0.0221
Household size0.10601.11180.098−0.0151−0.00120.0163
Age (yr)0.04691.04800.074−0.0067−0.00050.0072
cocoa tree age−0.01430.98580.5040.00200.0002−0.0022
Edu_dummy2−0.23210.79290.5730.03320.0026−0.0357
edu_dummy32.56460.07700.0230.36640.02860.3950
education * experience0.09501.09960.017−0.0136−0.00110.0146
farm size (ha)−0.06570.93640.5950.00940.0007−0.0101
Farming experience−0.03870.96200.1950.00550.0004−0.0060
Area covered−0.64240.52600.0010.09180.0072−0.0989
Widespread adoption index0.48610.61500.0380.06940.0054−0.0749
income0.00001.00000.510.00000.00000.0000
yield percentage0.02571.02600.0280.00370.00030.0040
/cut1−3.35250.9809
/cut2−0.35630.9671
Model diagnostics
No of obs.150
LR chi2(13)34.68
Prob > chi20.0009
Pseudo R20.1164
Log likelihood−131.557
Variance inflation factor2.88

[i] Source: field survey, 2024

DOI: https://doi.org/10.17306/j.jard.2025.4.00033r1 | Journal eISSN: 1899-5772 | Journal ISSN: 1899-5241
Language: English
Page range: 416 - 426
Accepted on: Oct 29, 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 Sina Basil Johnson, Oluwaseun Adetarami, published by Poznań University of Life Science
This work is licensed under the Creative Commons Attribution 4.0 License.