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Determinants of Financial Inclusion among Smallholder Farmers in Zimbabwe

  
30. Juni 2025

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COVER HERUNTERLADEN

Fig. 1.

Zimbabwe’s Financial Services Outlook (RBZ, 2025)
Source: own elaboration.
Zimbabwe’s Financial Services Outlook (RBZ, 2025) Source: own elaboration.

Summary statistics for the variables (n = 445)

Variable name Observations Mean Std. dev. Variance Skewness Kurtosis
Financial inclusion 445 0.950562 0.217025 0.0471 –4.15684 18.27928
Age of the household head 441 45.38209 12.73353 162.1429 0.300476 2.745366
Highest education level 441 4.099773 2.443735 5.971841 0.36687 1.945309
Employment status 441 1.578231 1.030833 1.062616 0.337922 1.733848
Annual income 441 239.3197 414.9766 172205.6 3.448793 17.75139
Financial literacy 445 0.262921 0.811292 0.658194 –0.10808 2.181049
ICT device ownership 441 1.959184 0.198089 0.039239 –4.6414 22.54255
Distance to financial institution 441 41.44898 35.63282 1269.698 8.492423 129.4015
Membership of savings group 445 0.134832 0.341928 0.116915 2.138843 5.572511

Distribution of smallholder farmers by type of financial services accessed (Nominal variables, n = 445)

Financial service Frequencies (number of respondents) Percentage (%)
Mobile money (payment systems) 150 33.6
Savings 120 26.9
Agricultural credit 90 20.1
Agricultural insurance 60 13.4
No services accessed 25 5.6

Financial inclusion by levels (n = 445)

Financial level Frequency Percentage
Completely excluded 25 5.62
Basic 150 33.71
Partial 156 35.06
Comprehensive 88 19.78
Full 26 5.84

Financial inclusion across demographics and socioeconomic variables (n = 445)

Category Financially included (%) Financially excluded (%)
Age 18–35 45.2 54.8
Age 36–60 55.8 44.2
Age above 60 32.1 67.9
Gender – Male 60.4 39.6
Gender – Female 48.7 51.3
Primary education level 35.6 64.4
Secondary education level 50.2 49.8
Tertiary education level 68.4 31.6
Employment status (Unemployed) 28.9 71.1
Employment status (Self-employed) 55.1 44.9
Employment status (Employed) 72.3 27.7
Income level (Low) 30.5 69.5
Income level (Medium) 55.7 44.3
Income level (High) 75.9 24.1

Results of the logistic regression model on determinants of basic financial inclusion

Variable Coefficient Std. error z-value P>|z| 95% Confidence Interval
Financial literacy 0.8794 0.198 4.44 < 0.001 [0.4913, 1.2676]
Age category 0.1882 0.1182 1.59 0.111 [–0.0436, 0.4199]
Financial market proximity (km) –0.0283 0.0071 –4.02 < 0.001 [–0.0422, −0.0145]
Highest education level attained –0.1052 0.0596 –1.76 0.078 [–0.2221, 0.0117]
Household size 0.1078 0.0618 1.74 0.081 [–0.0133, 0.2290]
Farm size (ha) 0.0058 0.0037 1.56 0.118 [–0.0015, 0.0130]
ICT device ownership Omitted
Employment status 0.0549 0.1418 0.39 0.698 [–0.2230, 0.3328]
Mobile network connectivity –0.2176 0.6193 –0.35 0.725 [–1.4315, 0.9963]
Membership of savings group –0.9024 0.4277 –2.11 0.035 [–1.7407, −0.0641]
Constant (cons) –0.6431 0.8916 –0.72 0.471 [–2.3905, 1.1044]

Metrics from the goodness of fit test

Classification confusion matrix and performance metrics

Classified – True – Total

D ~D
+ 307 16 323
1 0 1
Total 308 16 324

Sensitivity Pr (+| D) 99.68%
Specificity Pr (−|~D) 0.00%
Positive Predictive Value Pr (D| +) 95.05%
Negative Predictive Value Pr (~D|–) 0.00%
False + rate for true ~D Pr (+|~D) 100.00%
False – rate for true D Pr (−|D) 0.32%
False + rate for classified + Pr (~D|+) 4.95%
False – rate for classified – Pr (D|–) 100.00%

Correctly classified 94.75%