Socio-economic factors and perceptions influencing contract farming adoption among onion farmers in Bhavnagar District of Gujarat

Introduction

Contract farming is a system where farmers and buyers (often agro-processing firms) enter into agreements that outline the terms of production, including prices, quality, and supply schedules. This practice has gained significant attention as a means to enhance agricultural productivity and provide a structured market for farmers (Singh & Sahu, 2019) [8] . The adoption of contract farming is influenced by several socio-economic factors, including access to credit, market conditions, and the level of technological adoption (Kumar & Raghav, 2018) [3] . In India, where smallholder farmers dominate agricultural production, the potential of contract farming to improve farm income and reduce market risks has been widely discussed (Jha, 2020) [2] . However, the decision to engage in contract farming varies significantly across regions and crop types, with factors such as education, income levels, and farming experience playing critical roles (Prakash & Verma, 2017) [6] . This study focuses on onion farmers in Bhavnagar District, Gujarat, to examine how socio-economic characteristics and perceptions shape their attitudes toward contract farming. The research aims to provide insights into the factors that promote or hinder the adoption of contract farming and to identify areas for improvement in the implementation of such schemes in the region. The objectives of the study are as follows.

• To study the socio-economic profile of onion farmers.

• To study the perception of onion farmers towards contract farming • To identify the factors influencing the adoption of contract farming among onion famers

Research Methodology

The research methodology for this study follows a descriptive research design, which allowed for the identification of various attributes affecting consumer buying behavior. The study was conducted in Bhavnagar District, Gujarat, and employed a non-probability purposive sampling method to select a sample of 150 farmers cultivating onion from Mahuva and Talaja talukas of Bhavnagar, Gujarat. The data collection was carried out through both primary and secondary sources. Primary data were gathered from the farmers using a structured questionnaire, while secondary data were collected from research papers, journals, reports, and company websites.

The structured questionnaire served as the primary www.extensionjournal.com instrument for data collection. The data were analyzed using simple statistical tools, including averages, frequency distribution, means, Likert-type rating scales to achieve the study's objectives. The study found that the majority of respondents were male (98%), while only 2 percent were female. In terms of age distribution, most farmers belonged to the 31-40 years (39.33%) and 41-50 years (38%) age groups, followed by those above 50 years (11.33%), 21-30 years (8.67%), and below 20 years (2.67%). Regarding education levels, 6 percent of farmers were illiterate, while the majority had received primary school education (34.67%), followed by SSC (30.67%), HSC (23.33%), graduates (4.67%), and postgraduates (0.67%). Most respondents were married (92.67%), with only 7.33 percent being unmarried. Farming experience varied, with 37.33 percent having over 15 years of experience, 30.67 percent between 11-15 years, 20.67 percent between 6-10 years, and 11.33 percent with less than five years of experience. Similarly, onion crop cultivation experience showed that 48.67 percent of farmers had 11-15 years of experience, 34.67 percent had more than 15 years, 14 percent had 6-10 years, and only 2.67 percent had up to five years of experience. The majority of farmers cultivated white onions (52%), followed by red (35.33%) and pink (12.67%). In terms of farm size, small farmers constituted the largest group (39.33%), followed by marginal (22.67%), semi-medium (21.33%), medium (12%), and large farmers (4.67%). Annual income distribution indicated that 30.66 percent of farmers earned between ₹5-6 lakh, 27.34 percent between ₹6-7 lakh, 19.33 percent between ₹3-4 lakh, 12 percent above ₹7 lakh, and 10.67 percent between ₹1-2 lakh. These findings provide insights into the demographic and economic profile of onion farmers in the study area. The study analyzed the selling platforms preferred by onion farmers in Bhavnagar District, Table 2 shows that the majority (77.33%) preferred selling their produce through Agricultural Produce Market Committees (APMCs). A smaller proportion of farmers (10%) opted for Farmer Producer Organizations/Farmer Producer Companies (FPO/FPC), while 6% sold their onions to traders. Only 2 percent of farmers utilized local markets, and 4.67 percent relied on other selling platforms. These findings indicate that APMCs remain the dominant choice for onion farmers, likely due to better price realization, market access, and structured selling mechanisms. However, the presence of FPOs/FPCs suggests a growing interest in alternative marketing channels that may offer better returns and reduced dependency on intermediaries. Table 3 depicts the time taken for farmers to receive full payments for their sold onions. The findings indicate that the majority of farmers (71.33%) received their payments within a day, highlighting the efficiency of immediate transactions in the onion market. Additionally, 8 percent of farmers received payments within 2 to 3 days, while 16.67 percent had to wait between 3 to 7 days. A smaller proportion (4%) experienced delays of more than 7 days. These results suggests that while most farmers benefit from prompt payments, a segment still faces delays, which could impact their financial planning and cash flow. Improving payment processes and ensuring timely transactions could enhance the economic stability of farmers. Table 5 examine the farmers' perceptions of contract farming based on various factors. The highest-ranked perception was that contract farming creates market linkages and market access (mean = 3.61, rank 1), followed closely by improving agricultural practices (mean = 3.55, rank 2) and increasing the use of agricultural inputs and enhancing production (mean = 3.48, rank 3). Farmers also recognized that contract farming improves the way agro-processing firms plan, perform, and monitor activities (mean = 3.36, rank 4) and enhances the user rights of smallholder farmers (mean = 3.33, rank 5). Moderately ranked perceptions included increasing labor efficiency (mean = 3.29, rank 6), improving family labor utilization (mean = 3.19, rank 7), and increasing household income (mean = 3.12, rank 8). Farmers also acknowledged that contract farming improves agricultural practices and the use of agrochemicals (mean = 3.11, rank 9) and that prices are set by agro-processing firms (mean = 3.07, rank 10). On the other hand, the lowest-ranked perceptions included reducing the production of non-contract farming crops (mean = 2.70, rank 16), improving overall livelihoods of families (mean = 2.75, rank 15), and enhancing smallholder farmers' knowhow and climate adaptation (mean = 2.76, rank 14). Additionally, reducing poverty and improving food security (mean = 2.93, rank 13) and creating employment opportunities (mean = 3.00, rank 12) were perceived as less significant. These findings indicate that farmers primarily view contract farming as beneficial for improving market access, agricultural practices, and production efficiency. However, its impact on livelihoods, food security, and climate adaptation appears to be less strongly perceived. Strengthening these weaker aspects through better policy support, training programs, and inclusive contract agreements could enhance farmers' overall experience and participation in contract farming. 6 analyze the various factors influencing the adoption of contract farming among farmers. The findings indicate that the most significant factor was assured prices (mean = 3.15, rank 1), followed closely by an assured market (mean = 3.14, rank 2) and a guaranteed and fixed pricing structure (mean = 3.12, rank 3). Access to credit and creditlinked input supply (mean = 3.07, rank 4) and provision of production management services (mean = 3.03, rank 5) were also important considerations. On the other hand, factors such as diversification (mean = 1.82, rank 15), reduction in pre-and post-harvest losses due to monitoring and advice (mean = 1.85, rank 14), skill transfer (mean = 1.87, rank 13), and access to improved technology (mean = 1.91, rank 12) were ranked lowest, indicating that these aspects had a lesser impact on farmers' decisions to adopt contract farming. Additionally, factors like fixed income (mean = 2.60, rank 8), shield against market fluctuations (mean = 2.94, rank 7), and insurance-based contracts (mean = 2.97, rank 6) played a moderate role in influencing adoption. These findings suggest that farmers are primarily driven by financial security, market assurance, and pricing stability when considering contract farming, whereas aspects related to technology, skill transfer, and diversification hold less significance in their decision-making process. Strengthening these lower-ranked factors through better extension services and policy interventions could further enhance contract farming adoption.

Results and Discussion

Conclusion

The study provides valuable insights into the socioeconomic profile of onion farmers and their perceptions of contract farming in Bhavnagar District, Gujarat. The findings highlight that most farmers were male, middleaged, and have substantial farming experience, with a preference for white onion cultivation. Market access remained a critical factor, with APMCs being the primary selling platform, ensuring prompt payment for the majority. Farmers relied heavily on informal networks for information on contract farming, while formal extension services had limited influence. The study also revealed that farmers perceived contract farming as beneficial for improving market access, agricultural practices, and production efficiency, but its impact on food security and livelihoods was viewed with less enthusiasm. The key factors influencing contract farming adoption among farmers included assured prices, guaranteed markets, and financial security, whereas the aspects such as skill transfer, access to technology, and diversification ranked lower in importance. To enhance participation in contract farming, policymakers and stakeholders should focus on strengthening extension services, improving financial and technical support, and addressing concerns related to production risks and market fluctuations.

References

1. Harish N, Vilas M. An empirical study on contract farming in India. Indian Journal of Research. 2016;5(7):41-44.
2. Jha R. Impact of contract farming on smallholder farmers in India: A case study. Journal of Rural Development. 2020;39(1):45-56.
3. Kumar A, Raghav M. Socio-economic factors influencing the adoption of contract farming: A case of vegetable farmers in Bihar. Indian Journal of Agricultural Economics. 2018;73(2):199-210.
4. Kumar P, Shivaramuk K, Murthy A. An analysis of okra seed production under contract farming. Journal of Pharmacognosy and Phytochemistry. 2019;8(4):27282733.
5. Manjunatha AV. Present status and prospects of contract farming in India. International Journal of Agriculture Sciences. 2018;6(7):975-3710.
6. Prakash M, Verma R. Adoption of contract farming among farmers: Evidence from Punjab. International Journal of Agriculture and Food Science. 2017;7(4):3442.
7. Ray RK, Kumari M, Sinha P, Umrao A, Nayak S. Problem and prospect of contract farming in India. Food and Scientific Report. 2020;1(8):63-68.
8. Singh P, Sahu N. Contract farming and agricultural development: Challenges and prospects. New Delhi: Oxford University Press; 2019.