Female Farmers Overcome Institutional Barriers to Match Male Digital Adoption Rates

An empirical survey of 342 agricultural holdings in the Comino Valley of Southern Lazio, Italy, reveals that women farmers achieve digital technology adoption rates comparable to those of their male counterparts despite operating smaller, less capitalized enterprises and navigating constrained institutional environments. Survey data disaggregated by gender—comprising 198 male-led and 144 female-led farms—indicate no statistically significant gender gap in overall digital innovation adoption. However, this apparent parity conceals pronounced divergences in underlying operational structures, self-reported entrepreneurial identities, and social capital mobilization. Conducted between September 2024 and March 2025, the research examines agricultural operations situated within a recognized remote rural “internal area” and certified Food Biodistrict characterized by systemic institutional fragility, traditional crop and livestock systems, and spatial remoteness. Rather than demonstrating uniform technological trajectories, the empirical evidence demonstrates an ongoing tension between aggregate technological uptake and the gender-differentiated mechanisms through which rural enterprises access, evaluate, and implement digital farming solutions under persistent structural constraints.

The research frames agricultural digitalization through the conceptual lens of Constrained Institutional Contexts, defined as complex networks of actor relationships where shifts in institutional environments generate barriers and power struggles that unevenly distribute control over critical resources. Adopting a constituent perspective of women farmers that rejects subordinate domestic characterizations in family farm businesses, the authors position female agriculturalists as entrepreneurial agents actively engaged in innovation decision-making. This perspective builds upon recent scholarship within Feminist Agrifood System Theory and rural entrepreneurship, which highlights female farmers’ distinct contributions to sustainable agriculture, multifunctional farm practices, and environmental stewardship. In remote rural territories like the Comino Valley, entrepreneurial activities face compounded spatial and institutional obstacles, often conceptualized as the farmer’s “iron cage.” These obstacles encompass infrastructural deficits, restricted access to business support services, and deeply entrenched masculine cultural norms that historically marginalize female visibility. Within this setting, digitalization serves as both a disruptive force that alters knowledge requirements and a potential enabler for navigating institutional voids.

The empirical investigation was grounded in an explanatory case-study methodology focused on the Comino Valley, an area officially categorized as an internal area under Italy’s National Strategy for Internal Areas due to its geographic isolation and socioeconomic fragility. Concurrently, the territory functions as an established Food Biodistrict where organic production methods, multifunctionality, and traditional cultivation of cereals, vineyards, olive groves, and small-ruminant livestock predominate. To capture the full diversity of this agrarian structure, the researchers implemented a purposive stratified sampling design across 342 agricultural holdings. The sample deliberately encompassed three distinct operational profiles: farms actively participating in the formal Biodistrict network, certified organic holdings functioning independently of the biodistrict organization, and conventional non-organic enterprises operating within the valley. While analytically representative of the varied productive arrangements in the valley rather than statistically representative of broader regional populations, this stratification enabled a nuanced assessment of how localized knowledge ecosystems, institutional affiliations, and farming typologies intersect with gender-specific technological adoption pathways.

Primary data were gathered through a structured questionnaire administered across four thematic modules designed to capture operational, cognitive, and relational variables. The first module evaluated social capital and knowledge networks by assessing the importance of diverse actors on a five-point Likert scale, ranging from 1 for less important to 5 for most important, for both routine farming activities and digital technology adoption. Following established sociological frameworks, relationships were classified into bonding ties with relatives and friends, bridging ties with neighboring producers, local associations, and agricultural consultants, and linking ties with universities, research institutes, banking institutions, and statutory bodies. The second section gauged institutional trust across private corporations, public bodies, and scientific organizations. The third module measured dynamic capabilities—encompassing sensing, seizing, and transforming digital opportunities—alongside entrepreneurial identity facets such as proactiveness, innovativeness, risk-taking, and self-efficacy, with internal consistency verified by Cronbach’s alpha values of 0.84 and 0.89. The fourth module recorded structural metrics including Utilised Agricultural Area, Standard Output tiers, and household composition.

To quantify technological integration, the authors categorized farm operations into three distinct tiers of digital complexity: a basic tier representing farms that had not yet implemented the evaluated digital tools; a medium tier incorporating intermediate equipment such as weather stations, basic livestock radio collars, farm management software, and semi-automated machinery; and a high tier comprising advanced solutions like biometric tracking collars, aerial drones, vineyard sensors, automated olive mills, and remote winemaking systems. Cross-tabulation of adoption levels yielded a Chi-squared statistic of 3.77 (p > 0.10), confirming the absence of a statistically significant gender disparity in final digital adoption. However, this statistical parity occurred against pronounced structural disadvantages documented in baseline socio-demographic indicators. Female-led farms were significantly concentrated in lower Standard Output brackets, whereas male-led enterprises dominated higher economic tiers between €100,000 and €500,000 (p < 0.10). Furthermore, 52.08 percent of female farmers operated in households with dependent children, compared to 42.93 percent of male farmers (p < 0.10), reinforcing domestic and productive overlaps.

The survey uncovered critical disparities in technical awareness and external relational strategies that contrast sharply with the identical headline adoption numbers. Female respondents reported significantly lower objective knowledge regarding high-automation systems (p < 0.10) and semi-automated machinery (p < 0.05), highlighting persistent informational asymmetries in remote farming territories. Concurrently, female farmers expressed markedly lower trust in private agribusiness companies, registering an average score of 3.55 compared to 3.72 among male peers (p < 0.10). Because private commercial vendors serve as the primary purveyors of digital agricultural technologies, this deficit in trust introduces substantial friction into technology procurement. In response to these scale disadvantages and commercial frictions, women demonstrated significantly higher reliance on external social capital specifically when adopting digital innovations. While bonding capital scores showed no significant variation across genders, female operators recorded higher reliance on bridging capital (mean scores of 3.50 versus 3.32, p < 0.05) and linking capital (3.23 versus 3.04, p < 0.10), utilizing external peer groups and institutional connections as compensatory mechanisms.

Beyond material and structural disparities, the survey revealed pronounced gender gaps across psychological and cognitive dimensions, reflecting the internal pressures imposed by informal agrarian institutions and traditional gender roles. Female respondents recorded significantly lower evaluations across every examined dimension of entrepreneurial identity, including self-categorisation as an entrepreneur, willingness to assume commercial risks, and farm growth orientation (p < 0.01). These cognitive hurdles corresponded with systematically lower self-assessed dynamic capabilities required to execute digital transformations. Specifically, female farmers felt significantly less equipped than male farmers to recognize emerging technological opportunities (reporting a mean score of 3.54 compared to 3.77 among men, p < 0.01), seize identified digital tools (3.78 versus 3.96, p < 0.05), and implement new solutions within their daily operational workflows (3.67 versus 3.98, p < 0.01). These findings illustrate how deeply ingrained masculine norms within the agrarian iron cage can undermine women’s internal sense of entrepreneurial efficacy, even while their objective business practices achieve successful technological adoption.

To untangle the relative influence of tangible farm assets versus systemic behavioral returns, the researchers executed a Blinder-Oaxaca econometric decomposition. The raw innovation score difference between male-led enterprises (mean of 1.58) and female-led enterprises (mean of 1.48) stood at a statistically non-significant 0.10 (p = 0.213), reaffirming broad outcome convergence. However, the decomposition partitioned this differential into an aggregate explained endowment component of 0.11, which reached statistical significance (p = 0.037). This result confirms that the nominal male innovation advantage is systematically driven by superior baseline resource endowments. In particular, organizational scale and economic standard output between €100,000 and €250,000 significantly favored male adoption (p = 0.046), alongside marginal advantages stemming from higher formal education (p = 0.081) and bridging networks (p = 0.096). Conversely, the aggregate unexplained component was not statistically significant, demonstrating that women-led farms do not experience inferior average conversion efficiency, although individual coefficient differentials for linking capital suggest distinct gendered mechanisms in converting institutional ties into tangible benefits.

Interpreting these findings through organizational and sociological theory, the authors describe the phenomenon as compensatory adaptation, wherein women overcome constrained institutional settings, smaller farm capital, and lower entrepreneurial self-efficacy by reconfiguring their relational architectures. Adopting digital innovations in fragile rural territories requires strategic ambidexterity—the deliberate capacity to balance the exploitation of localized bonding networks with the active exploration of external bridging and linking ties to acquire dispersed knowledge. The authors acknowledge key methodological limitations in their study, notably its cross-sectional design, which precludes definitive causal inferences regarding how relational strategies evolve as technologies mature, and its localized geographical focus within Southern Lazio, which may constrain direct external generalization to distinct institutional environments such as Northern European agrarian systems or developing economies. Future investigations using longitudinal data and matched samples of equivalent capital endowments will be necessary to ascertain whether these compensatory relational strategies endure over extended periods of technological standardization.

The study’s conclusions offer targeted recommendations for European agricultural policy, particularly regarding the implementation of the Common Agricultural Policy 2023–2027 delivery model and its Specific Objective 8 focused on gender equality, employment, and rural social inclusion. The authors argue that conventional, gender-blind innovation policies risk perpetuating structural disadvantages by ignoring the unique relational pathways that female farmers construct. Within Agricultural Knowledge and Innovation Systems, public advisory services must expand their mission beyond standard technical instruction to act as relational brokers who actively facilitate trust, alleviate negotiation costs with private technology vendors, and foster gender-sensitive mentorship networks that help female agriculturalists convert institutional ties into concrete commercial gains. Furthermore, grant evaluation frameworks should abandon rigid scale-dependent metrics that penalize smaller, less capitalized holdings, while regional authorities must invest in foundational social infrastructure—such as rural childcare and essential community services—to alleviate the domestic burdens that constrain women’s capacity to participate fully in digital rural transitions.

Subject of Research: Gender dynamics and social capital in agricultural digital innovation adoption under institutional constraints

Article Title: Gendering the digital transition among farms facing constrained institutional contexts

Article References: Pagnani, T., Charatsari, C., Lioutas, E., McElwee, G., & De Rosa, M. (2026). Gendering the digital transition among farms facing constrained institutional contexts. Agricultural and Food Economics, 14(1), Article 58. https://doi.org/10.1186/s40100-026-00499-2

Image Credits: AI Generated

DOI: 10.1186/s40100-026-00499-2

Keywords: agricultural economics, digital agriculture, gender in agriculture, social capital, rural entrepreneurship, farm innovation, Blinder-Oaxaca decomposition, Common Agricultural Policy, Gendering, digital, transition, farms