Scinovex
article Open Access

Factors influencing involvement of rural women in Agri-based enterprises

Abstract

The present research enterprises carried out over 120 rural women from Muzaffarpur district of Bihar with the specific objectives to factors influencing the involvement of rural woman in Agri-based enterprises. The finding indicated that more than one-third of the participants (36.67%) were engaged in more than one enterprise, often combining dairy with goat rearing or vermicomposting. These women were able to better manage seasonal risks and generate multiple income streams, enhancing their resilience. The findings indicated that key factors that had a strong positive influence on women’s involvement were access to extension services (r = 0.502), training (r = 0.445), and annual household income (r = 0.412). However, only 30.83% of the women had received any formal training, showing a clear gap in knowledge support. About 58.33% had moderate access to agricultural advice, mostly through local SHGs or NGOs, rather than through official extension systems.

Full Text

Tables and figures are in the full-text PDF.

Introduction

Role of rural women is very crucial in every aspect of agriculture, beginning from the decision of crops according to the environmental conditions to the harvesting and postharvest operations. The agriculture census of 2015-2016 indicated that about 11.72% of the total operated area in the country is operated by female operational holders. Women play a vital role in agriculture. But their ability to make decisions is ignored many times. Women play a significant role in cultivation of main crops, horticultural crops like fruits, vegetables, flowers, spices, post-harvest and processing operations, agroforestry, social forestry, animal husbandry, fishculture, honeybee production, mushroom cultivation etc. Enhancing their participation is essential for achieving gender equality, boosting agricultural productivity and improving overall food and nutritional security. Women contribute unique insights that can lead to better solutions and innovation in agricultural practices. "Women belong in all places where decisions are being made. It shouldn't be that women are the exception". Research indicates that farms led by women tend to be more productive due to better resource management and practices. Women prioritize family needs, and when they are involved in decisions, household nutrition and food security automatically start improving. Women's empowerment in the agri-based enterprises is transformative, enabling them to achieve economic independence and gain access to essential resources. When women actively participate in farming not only on the field but also in the industrial sector of agriculture by training and knowledge dissemination through different extension agencies, universities, government policies, etc., they are going to improve their skills and also increase their influence in household and community decisions. This engagement leads to better family welfare, as empowered women often prioritize the health and education of their children. Moreover, working together fosters strong social networks, enhancing community solidarity. While cultural barriers and access to resources remain challenges, targeted training programs and supportive policies can further amplify women's roles in agriculture. Ultimately, empowering women in this sector helps in getting a more balanced and enduring future for all.

Methodology

This study was conducted over 120 rural women in Muzaffarpur district, situated in the north-central part of Bihar, all of whom were actively involved in small-scale Agri-based enterprises such as dairy farming, poultry, goat rearing, vermicomposting, beekeeping, and mushroom cultivation. There are 16 blocks in Muzaffarpur district. Sakra and Muraul block have been purposively selected for this study due to their high rural population, strong agricultural base, and the notable participation of women in Agri-based livelihoods. These blocks have shown significant activity in areas such as vegetable cultivation, dairy farming, and SHG-led micro-enterprises, particularly under schemes like JEEViKA. Their socio-economic characteristics and emerging patterns of women's engagement in agriculture make them representative and relevant for exploring the scope and challenges of rural women's involvement in Agri-based enterprises. www.extensionjournal.com .569*** S ***-1% Significance level, NS-Non-Significant, S-Significant Table .1 shows that the analysis of socio-personal, psychological and communicational variables and the significant predictors influencing women's engagement in Agri-based enterprises. Family type demonstrated a statistically significant association at the 1% level, indicating that women from joint family systems are more likely to participate in such enterprises. This was attributed to the collective support-emotional, financial, and labourrelated that joint families typically provide, facilitating women's entrepreneurial involvement. Family size exhibited a negative correlation significant at the 5% level, implying that an increase in household members may intensify domestic responsibilities, thereby constraining women's capacity to engage in enterprise activities. Furthermore, Social participation emerged as a highly significant variable (1% level), suggesting that women actively involved in social groups, such as self-help groups, cooperatives, or local institutions, benefit from enhanced social capital, exposure, and decision-making confidence, all of which positively influence their entrepreneurial pursuits. Scientific orientation also showed a strong positive influence, significant at the 1% level, highlighting that women with a scientific mindset and openness to modern agricultural practices are more proactive and efficient in managing Agribased ventures. Annual income showed a very strong and significant positive relationship at the 1% level. Women from higher income groups are more capable of investing in resources, training, or technology, which encourages greater involvement in enterprise activities. Variable Mass media exposure was found to be highly significant at the 1% level, indicating that access to information channels such as television, radio, newspapers, and digital platforms plays a pivotal role in enhancing awareness. Similarly, Extension contact also exhibited a significant positive correlation at the 1% level. Regular interactions with agricultural extension personnel and field-level officers contribute to capacity building by improving women's technical knowledge and confidence. The findings of results also revealed that psychological and skill-based variables economic motivation, innovativeness, risk orientation, decision-making ability, and training received were statistically significant at the 1% level. This indicates that women who exhibit strong financial drive, openness to new ideas, willingness to take calculated risks, active involvement in decision-making, and those who have received relevant training are more likely to participate in Agri-based entrepreneurial activities. 4 revealed that among the predictors, annual income (β = 0.370, p = 0.000) and extension contact (β = 0.391, p = 0.000) had the most substantial positive effects. Women with higher incomes and better access to extension services were more actively involved in enterprises. Economic motivation (β = 0.267, p = 0.000), decision-making ability (β = 0.196, p = 0.001), age (β = 0.177, p = 0.004), and education (β = 0.122, p = 0.043) also showed significant positive influences. In contrast, family occupation, mass media exposure, risk orientation, and training received did not significantly affect participation. These findings suggest that strengthening women's access to income, extension services, and decision-making spaces-along with encouraging motivation and education-can significantly boost their engagement in Agri-based enterprises. An ANOVA was conducted to examine the extent to which various factors influence individuals' level of involvement in more than one Agri-based enterprise. The results show that the regression model is statistically significant, with an F-value of 14.254 and a p-value of. 000. This indicates that the combination of the ten predictor variables included in the model has a meaningful impact on the level of involvement. Out of the total variation observed (1006.167), a substantial portion (887.824) was explained by the model, while only a small portion (118.343) remained unexplained. This suggests that the model does a strong job of capturing the key influences on multi-enterprise involvement. Overall, the findings imply that these predictors collectively play a significant role in shaping the extent to which individuals engage in more than one agricultural enterprise. 5 presented a multiple linear regression analysis highlights that certain personal and social factors significantly affect rural women's involvement in Agribased enterprises. Among the ten variables studied, social participation had the strongest influence (β = 0.379, p = 0.012), showing that women who are more engaged in community or group activities tend to participate more actively in entrepreneurial ventures. Decision-making ability (β = 0.237, p = 0.022) and innovativeness (β = 0.206, p = 0.040) also had a meaningful positive impact, suggesting that women who are confident in making choices and willing to try new approaches are more likely to succeed in Agri-enterprises. In addition, economic motivation (β = 0.271, p = 0.082), training received (β = 0.254, p = 0.061), and age (β = 0.195, p = 0.097) were found to be marginally significant at the 10% level, indicating that even though their effects were slightly weaker, they still played a notable role. Variables like education, family size, mass media exposure, and risk orientation did not show a significant effect in this model. The overall regression model was statistically strong, with an R² of 0.882 and Adjusted R² of 0.820, meaning that around 82% of the variation in women's participation was explained by these factors. The Durbin-Watson value of 2.213 indicated no issues with autocorrelation, and all VIF values remained well below 5, confirming that multi collinearity was not a problem. These results suggest that enhancing women's social involvement, decision-making confidence, and innovative thinking-along with access to training-can be powerful ways to improve their engagement in Agri-based enterprises.

Results and Discussion

Factors affecting the involvement of rural women in agri-based enterprises

Multiple linear regression analysis of factors affecting the involvement of rural women in Agri-based Enterprises

Multiple Linear Regression analysis of factors affecting involvement of rural women in more than one agribased Enterprises (n = 30)

Conclusion

The study concluded that key factors that had a strong positive influence on women's involvement were access to extension services (r = 0.502), training (r = 0.445), and annual household income (r = 0.412). However, only 30.83% of the women had received any formal training, showing a clear gap in knowledge support. About 58.33% had moderate access to agricultural advice, mostly through local SHGs or NGOs, rather than through official extension systems. The findings indicate that with stronger institutional support, better access to credit, and regular training, women in rural Bihar have the potential to become key drivers of sustainable agricultural growth and rural development not only in the district but across India.

References

  1. Arora M. Empowering the underprivileged women: exploring entrepreneurial opportunities with microfinance. In: Women entrepreneurship policy: context, theory, and practice. Singapore: Springer Nature Singapore; 2024. p. 265-285.
  2. Aryal JP, Farnworth CR, Khurana R, Ray S, Sapkota TB, Rahut DB. Does women's participation in agricultural technology adoption decisions affect the adoption of climate-smart agriculture? Insights from Indo-Gangetic Plains of India. Rev Dev Econ. 2020;24(3):973-990.
  3. Ayoola JB, Dangbegnon C, Daudu CK, Mando A, Kudi TM, Amapu IY, et al. Socio-economic factors influencing rice production among male and female farmers in Northern Guinea Savanna Nigeria: lessons for promoting gender equity in action research. Agric Biol J N Am. 2011;2(6):1010-1014.
  4. Ingutia R, Sumelius J. Do farmer groups improve the situation of women in agriculture in rural Kenya? Int Food Agribus Manag Rev. 2022;25(1):135-156.
  5. Ogunniyi AI, Omotoso SO, Salman K, Omotayo AO, Olagunju KO, Aremu AO. Socio-economic drivers of food security among rural households in Nigeria: evidence from smallholder maize farmers. Soc Indic Res. 2021;155(2):583-599.
  6. Ponnusamy K, Mishra S, Prusty M, Dash J. Market linkages for women farmers: public-private partnership shows way ahead. Indian Farming. 2012;61(12):25-28.
  7. Ponnusamy K, Bonny BP. Impact of public-private partnership model on women empowerment in agriculture. Indian J Agric Sci. 2017;87(5):613-617.
Citations
0
FWCI
0.00
field-weighted impact
References
0
Percentile
85%
vs. same field & year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.