The research team applied the Theory of Planned Behavior, a widely used psychological framework that explains intentions through three forces: attitude, the personal evaluation of a behavior; subjective norms, the perceived approval of family, peers, and society; and perceived behavioral control, the sense of having the resources and ability to act. They added a fourth construct, self-efficacy, borrowed from Bandura’s Social Cognitive Theory. What makes the study unusual is that instead of treating agricultural career intention as a single yes-or-no outcome, the researchers split it into five distinct destinations—government jobs, researcher or professor positions, farming, agripreneurship, and civil services—and modeled the odds of each against government employment using multinomial logistic regression in STATA 17.

The sample was drawn purposively from Deen Dayal Upadhyaya Gorakhpur University in Uttar Pradesh and VIT University in Tamil Nadu, institutions chosen because they sit in semi-urban regions where traditional and modern agriculture coexist and because they represent northern and southern India’s different agro-climatic and cultural zones. Respondents answered a structured questionnaire distributed through Google Forms. The team pre-tested the instrument, confirmed internal consistency with Cronbach’s alpha values all above the 0.70 threshold—attitude scored 0.960 and self-efficacy 0.962—and validated the constructs through expert review and factor analysis. A post-hoc power analysis in G*Power 3.1 returned a value of 0.999, far above the conventional 0.80 benchmark, indicating the study had excellent statistical sensitivity despite its modest sample.

The descriptive statistics alone tell a striking story. More than 80 percent of the students came from farming families, and 198 of the 285 were from rural areas, meaning most respondents had grown up with agriculture literally at their doorstep. Biology was the dominant academic background at the higher secondary level, with 169 students, and most had studied in English medium. Yet even among this cohort—arguably the most agriculture-embedded group of young people in the country—the gravitational pull of secure public employment dominated every demographic slice. Government jobs were the top choice for both men and women, across both universities, and regardless of whether students came from farming households.

The regression results revealed which psychological levers actually move career intentions. Attitude toward agriculture emerged as a strong, significant predictor of choosing a research or academic career over a government job, with a coefficient of 1.25 (p = 0.005). Subjective norms were similarly powerful (1.04, p = 0.009), suggesting that encouragement and perceived prestige from teachers, family, and peers are critical for steering students toward laboratories and lecture halls. This aligns closely with what the Theory of Planned Behavior predicts: positive personal evaluations and social validation strengthen intention, particularly for long-horizon paths like research that demand sustained commitment.

But the study also uncovered a genuine paradox. Self-efficacy—the confidence students have in their own abilities—was a significant negative predictor of research careers (-0.93, p = 0.032) and a marginal negative predictor for both civil services and agripreneurship. In other words, the most self-assured students were the ones least likely to pick these paths relative to government employment. The authors interpret this counterintuitively: highly confident students may prefer careers with clear recruitment mechanisms, faster returns, and greater certainty, viewing research and entrepreneurship as prolonged, uncertain gambles. Self-efficacy, it turns out, does not uniformly push people toward ambitious options; it interacts with how students weigh risk against reward.

Language proficiency produced one of the study’s most practical findings. Students with stronger language skills were significantly more likely to choose agripreneurship over government jobs (1.29, p = 0.039) and showed a marginal positive tendency toward farming (0.93, p = 0.057). Communication ability, the researchers argue, functions as a form of human capital in modern agriculture, easing networking, marketing, input negotiation, and engagement with digital and global agri-networks. Meanwhile, the constants for farming (-4.48, p = 0.001) and agripreneurship (-4.59, p = 0.006) were strongly negative, indicating that structural deterrents—income instability, physical labor intensity, financial risk, limited access to capital, and lower social prestige—overwhelm individual attributes. Even students inclined toward these paths are being held back by forces no single personality trait can overcome.

Demographics mattered too, though in patterned ways. Female students leaned toward research and civil services, while male students showed a marginal preference for farming, echoing persistent gender norms and traditional roles around land ownership and family expectations. Institutional affiliation shaped preferences as well: students at DDU Gorakhpur University, a public university with many rural students, showed stronger interest in government jobs, farming, and civil services, whereas VIT students, embedded in a more urban, tech-oriented environment, were comparatively less drawn to these options. The authors caution, however, that university affiliation lost statistical significance once psychological factors were accounted for, suggesting the institutional effect operates largely through the attitudes and norms students bring with them.

Perhaps the most theoretically interesting contradiction is that attitudes and subjective norms, which so strongly reinforced government job preferences, did not extend to agripreneurship despite years of policy advocacy for agri-startups under initiatives like RKVY-RAFTAAR and the National Education Policy 2020. Social approval, the study suggests, is context-dependent: government employment is perceived as secure and socially endorsed, while entrepreneurship is still coded as risky and uncertain. The gap between policy push and student perception persists because mentorship, market access, and risk-sharing mechanisms remain insufficient to shift the underlying norms.

The authors close with concrete recommendations: targeted career awareness programs exposing students to the full spectrum of agricultural opportunities, curriculum reforms that showcase real-world success stories and hands-on training in tech-driven ventures, and structured land-leasing schemes that give landless but educated young people temporary, renewable access to cultivable land, supported by input subsidies and digital tools. The broader message is that India’s agricultural future will not be secured by exhortation alone. If the sector wants its best and brightest, it must change what a career in agriculture is perceived to be—not a fallback of last resort, but a path with genuine security, prestige, and reward.

Subject of Research: Psychological and socio-demographic drivers of agricultural career intentions among Indian university students using the Theory of Planned Behavior

Article Title: Cultivating agricultural career intentions through behavioral drivers among students

Article References: Chaurasiya, C., Priya, A. P., Mansingh, J. P., Ihou, A. F. Y., & Mathew, M. (2026). Cultivating agricultural career intentions through behavioral drivers among students. Discover Education, 5(1), Article 1168. https://doi.org/10.1007/s44217-026-02286-z

Image Credits: AI Generated

DOI: 10.1007/s44217-026-02286-z

Keywords: agricultural careers, Theory of Planned Behavior, career intentions, agripreneurship, government jobs, self-efficacy, subjective norms, India, agricultural education, multinomial logistic regression, youth in agriculture, career counseling

Collaborative agribusiness models, in the sense used by the study, are partnerships built on a win-win logic: smallholder farmers, input suppliers, off-takers, and service providers coordinate their activities along the value chain. In practice this takes two main forms in Wanging’ombe. Collaborative procurement means farmers pool their orders for certified seed potatoes, fertilizers, fungicides, and pesticides, cutting search and transport costs and often securing lower prices. Collaborative marketing means aggregating harvested potatoes to sell collectively to wholesalers and retailers, which strengthens bargaining power and opens the door to larger, more dependable buyers. Both mechanisms aim to reduce the transaction costs that weigh heaviest on the smallest producers.

The empirical setting is the Potato Market Linkages Enhancement Project, known as PMALEP, which was implemented in Wanging’ombe to tackle the absence of structured ware potato markets, limited adoption of good agronomic practices, shortages of clean seed varieties preferred by buyers, and gaps in farmer skills. The project deliberately reserved 15 percent of its beneficiary slots for young farmers. It is against this backdrop that Ngozi asked a question with direct policy relevance: what determines whether a young smallholder participates in these collective arrangements?

To answer it, the study drew a sample of 124 young potato farmers from a known population of 180 project beneficiaries, using a multistage design that first purposively selected Wanging’ombe district, then four villages, Ilulu, Mhaji, Itowo, and Ihatunzi, and finally applied proportionate stratified random sampling. Of the 124 respondents, 45 participated in collaborative potato marketing and 79 did not, while 54 took part in collaborative input procurement and 70 did not. Data were collected with a pre-tested semi-structured questionnaire, supplemented by key informant interviews and document review, and analyzed in STATA using chi-square tests, t-tests, and a probit regression model suited to a binary participation decision.

The theoretical scaffolding rests on three pillars. Transaction cost economics explains why small-scale farmers, who face high search, contracting, and coordination costs, gain most from aggregating produce and pooling input orders. Social capital theory highlights how networks, norms, and trust built through repeated cooperation make collective action durable. Collective action theory frames the models themselves: shared goals, resource sharing, knowledge exchange, and joint decision-making generate economies of scale that no individual smallholder could achieve alone. Together these frameworks predict that household characteristics and enterprise characteristics should shape the probability of participation.

The comparative results are striking. Participants in collaborative input procurement farmed more total land, 2.24 acres on average, and devoted more plot area, 0.84 acres, to potatoes than non-participants. They also purchased and applied significantly larger quantities of basal fertilizer, 78.61 kilograms, top-dressing fertilizer, 92.40 kilograms, and seed potatoes, 674.03 kilograms. Their harvests were correspondingly larger, at 7,482.51 kilograms, and their revenue reached 1,151,422 Tanzanian shillings. Farmers engaged in collaborative marketing sold significantly more potatoes, 4,060.72 kilograms, earned higher revenue of 1,355,626 shillings, and pocketed a significantly greater profit of 921,354.60 shillings than those selling alone. Participants also bore higher input costs, reflecting their larger cultivated areas and heavier use of certified seed and fertilizer.

One result cuts against expectations. Young farmers who joined collaborative marketing actually purchased less seed potato, 455.65 kilograms on average, than those outside the model. The author interprets this as evidence that better market access does not automatically translate into expanded production investment; without affordable credit and reliable supplies of quality seed, collective marketing alone may not push young farmers to scale up. This nuance matters for program design, suggesting that market linkages must be paired with complementary financial and input-supply interventions if youth are to intensify potato production.

The probit regression, statistically significant overall with a likelihood ratio chi-square of 26.65 and a pseudo R-squared of 0.68, identifies several decisive drivers. Young women were 19 percent less likely than young men to participate in collaborative marketing, a gap the study attributes to lower land ownership and reduced awareness of the benefits of collective selling. Each additional unit of potato plot size raised participation probability by 30 percent, while each unit of basal fertilizer purchased raised it by 90 percent, both operating through the simple mechanism that more land and more fertilizer yield more potatoes available for collective sale. Higher profit from potato production increased participation likelihood by 12 percent, echoing wider evidence that income and assets gate access to collective schemes.

Two findings carry uncomfortable policy messages. First, rising basal fertilizer costs reduced the probability of participation in collaborative marketing dramatically, a reminder that Tanzania’s fertilizer price build-up and supply-chain costs remain a binding constraint on smallholder intensification. Second, and more puzzling, attendance at farm business training was associated with lower participation, reducing the likelihood of joining collaborative marketing by 24 percent and collaborative procurement by 27 percent. The most plausible explanation offered is that existing training curricula simply do not cover collaborative agribusiness models, so farmers learn agronomy and bookkeeping without ever being taught why and how to market or procure collectively.

The study’s policy implications follow directly. Awareness campaigns should target young farmers, especially women, to communicate the concrete benefits of collaborative potato marketing. Farm business training manuals should be revised to include modules on collective procurement and marketing. And government policy should prioritize improving land access and ownership for young farmers, since plot size emerged as a significant positive determinant. The author is candid about limitations: the sample of 124 farmers limits generalizability beyond Wanging’ombe, and potential endogeneity from self-selection and reverse causality means future work should employ instrumental variable or panel data methods. Even so, the message is clear. If Tanzania wants its youth to see farming as a business rather than a fallback, the cheapest lever may be teaching them the power of acting together, and removing the land and cost barriers that keep the most constrained farmers out of the room.

Subject of Research: Determinants of young smallholder farmers' participation in collaborative agribusiness models in Tanzanian potato farming

Article Title: Determinants of participation in collaborative agribusiness models among young potato smallholder farmers in Wanging’ombe, Tanzania

Article References: Ngozi, S. (2026). Determinants of participation in collaborative agribusiness models among young potato smallholder farmers in Wanging’ombe, Tanzania. Discover Agriculture, 4(1), Article 308. https://doi.org/10.1007/s44279-026-00787-x

Image Credits: AI Generated

DOI: 10.1007/s44279-026-00787-x

Keywords: collaborative agribusiness, potato farming, Tanzania, smallholder farmers, youth in agriculture, collective marketing, collaborative procurement, probit regression, transaction costs, land access, fertilizer costs, Wanging'ombe