Gender inequalities in agricultural extension service provision and their consequences for smallholder crop productivity

Introduction

Narrowing the agricultural gender gap continues to be one of the most persistent challenges confronting sub-Saharan Africa. Women are responsible for an estimated 60-80% of food production in the region yet consistently receive less advisory support, fewer inputs, less credit, and smaller landholdings than their male counterparts [1] . The productivity consequences are substantial-the FAO has estimated that providing women with equal access to agricultural resources could raise farm yields by 20-30% and lift 100-150 million people out of hunger [2] . Uganda illustrates this challenge clearly. Women make up 76% of the agricultural workforce but head only 31% of farming households recognized by extension services [3] . The NAADS reform of 2001 sought to improve gender equity, yet female farmers continue to report significantly fewer extension contacts [4] . The reasons are structural: conflicts between domestic labor and training schedules, male-dominated farmer groups that control access to training opportunities, and extension content oriented primarily toward cash crops managed by men [5] . This research quantified gender inequalities across six districts and estimated their productivity consequences [6,7] .

Legal and regulatory framework

Uganda's legal framework nominally supports gender equity. The 1995 Constitution prohibits gender discrimination and mandates affirmative action. The National Gender Policy (2007) requires gender mainstreaming in government programs, and the Agriculture Sector Strategic Plan explicitly targeted increasing women's extension access [8] . Despite this architecture, implementation has lagged-no enforcement mechanism exists for gender targets in extension, and district offices rarely track sex-disaggregated contact data [9] .

Material and methods

Pilot research

A pilot phase in Mukono district (n=72 households) tested survey instruments and validated yield measurement. The pilot revealed that self-reported yields required crop-cut verification, and that women within male-headed households needed separate surveys, as aggregate household data obscured intra-household gender differences in extension access.

Material

A cross-sectional survey was conducted across six districts: Mukono, Wakiso, and Mpigi in the Central region, and Kabarole, Kyenjojo, and Kamwenge in the Western region. A total of 414 farming households (230 male-headed, 206 female-headed) were selected using stratified random sampling. Data were collected between October 2021 and May 2022 through structured questionnaires covering extension access, information sources, input access, credit, crop management, and yield estimates.

Methods

Gender disparities were assessed using independent t-tests and chi-square tests. The yield gap was decomposed using Oaxaca-Blinder decomposition to separate the portion attributable to differences in endowments (inputs, land, www.extensionjournal.com education) from the portion attributable to differences in returns to those endowments. Multiple regression estimated the potential yield impact of equalizing extension access. Ethical clearance was obtained from the Institutional Review Board of Eastern Africa University of Agricultural Extension (Protocol No. EAUAE-IRB-2021-062, approved September 2021).

Results

Table 1 shows extension access indicators by gender. Male farmers averaged 7.2 extension contacts per year versus 2.8 for females (p<0.001). Access to information sources, credit, input subsidies, and farmer group membership all showed significant gender gaps. Figure 1 shows the scatter plot of extension contact frequency versus crop yield disaggregated by gender. Figure 2 presents the infographic summarizing gender disparities across key access and productivity dimensions.

Comprehensive interpretation

Gender disparities in extension access are substantial, consistent across all measured dimensions, and directly associated with a significant yield gap. The decomposition finding that 42% of the gap reflects structural discrimination-not just resource differences-suggests that simply providing more inputs without reforming service delivery will not close the gap.

Discussion

The extension contact gap of 4.4 visits/year is consistent with findings from Kenya (3.2) and Tanzania (4.1), suggesting a systematic regional pattern of gender-based exclusion [12] . The 39% yield gap falls within the 20-40% range documented across sub-Saharan Africa [13] . The decomposition evidence contributes additional insight: nearly half the gap reflects structural barriers in how extension operates, not simply resource differences. Extension content orientation-toward cash crops managed by men-contributes to the access gap [14] . Programs diversifying content to include legumes, vegetables, and post-harvest processing may attract more female participation without requiring separate women-only programming [15] . The cost analysis benefit-cost ratio of 2.8-3.9 compares favorably with other agricultural interventions, underscoring that addressing gender disparities is an economic efficiency argument [16,17] .

Cost analysis

Equalizing extension contact would require approximately 4.4 additional visits per female farmer annually. At $8.80 per visit, closing the gap for Uganda's estimated 4.4 million female farmers would cost approximately $170 million annually. The projected 24-33% yield increase would generate $380-520 million in additional crop value, yielding a benefit-cost ratio of 2.8-3.9 [10,11] .

Conclusion

Gender inequalities in extension service provision are substantial across six Ugandan districts, with female farmers receiving less than half the extension contacts, fewer information sources, and lower credit access. These inequalities produce a 39% yield gap, of which 42% reflects structural discrimination. Equalizing extension contact could increase female yields by 24-33% with benefit-cost ratios of 2.8-3.9. Policy reform should mandate sexdisaggregated service tracking, diversify advisory content, and address barriers that systematically exclude women.

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