Determinants, Constraints, and Prospects of Organic Farming Adoption among Farmers in Jabalpur District of Madhya Pradesh: A Causal-Comparative Study

Authors: Laveena Sharma; Deepak pal; Aradhana Singh Rajpoot; Naveen Pal
DIN
IJOEAR-OCT-2025-54
Abstract

Aims: To comprehensively analyze the socio-economic status of farmers in Jabalpur district and to identify, quantify, and prioritize challenges faced by farmers in adopting organic farming practices, while suggesting evidence-based measures for improvement.

Study Design: An causal-comparative research design with mixed-method approach was employed for this study. Place and Duration of Study: The study was carried out in Jabalpur district of Madhya Pradesh, India, spanning from January 2022 to December 2024.

Methodology: The research was conducted using a multi-stage random sampling technique across 12 villages (4 from each block) in Panagar, Sihora, and Shahpura blocks of Jabalpur district. Twenty-five farmers from each village were randomly selected, totaling 300 respondents. Advanced statistical tools including percentage analysis, mean, weighted mean score, Garrett'sranking technique, chi-square test, correlation analysis, and constraint analysis were employed for comprehensive data analysis.

Results: The study revealed that most farmers belonged to the middle-aged group (61.3%, n=184) and were predominantly from Other Backward Castes (38.0%, n=114), followed by General category (30.0%, n=90) and Scheduled Castes (22.0%, n=66). The majority practiced Hinduism (86.3%) and lived in joint families (68.3%). Garrett'sranking analysis identified lack of technical knowledge and guidance as the primary constraint (mean score: 72.45), followed by labor-intensive operations (mean score: 68.32) and high certification costs (mean score: 65.18). Chi-square analysis revealed significant associations between education level and adoption of organic practices (χ² = 18.47, p < 0.05). Correlation analysis demonstrated positive relationships between farm size and diversification of organic crops (r = 0.486, p < 0.01).

Conclusion: The study establishes that organic farming adoption in Jabalpur district is significantly constrained by systemic barriers including inadequate extension services, complex certification procedures, and limited market integration. However, statistical analysis reveals substantial potential for expansion among educated, middle-aged farmers with moderate landholdings. Strategic interventions targeting identified constraints can accelerate sustainable agricultural transition in the region.

Keywords
Organic farming Sustainable agriculture Socio-economic profile Challenges Jabalpur district Garrett'sranking Constraint analysis Agricultural extension
Introduction

1.1 Background and Context: Organic farming has emerged as a crucial paradigm shift in India'sagricultural landscape, representing a sustainable alternative to chemical-intensive conventional farming systems (Sharma & Patel, 2022). In Madhya Pradesh, agriculture constitutes the economic backbone of rural communities, with Jabalpur district serving as a significant agricultural hub within the Narmada valley agro-climatic zone. Farmers in this region predominantly cultivate paddy, wheat, pulses, and vegetables under diverse farming systems ranging from rainfed to irrigated conditions (Deshmukh et al., 2021).

The contemporary agricultural crisis, characterized by declining soil health, water contamination, and escalating input costs, has necessitated a re-evaluation of farming practices (Karamjit et al., 2015). Organic farming addresses these concerns through nature-based agricultural systems that emphasize soil fertility management through vermicomposting, green manuring, crop rotation, and bio-fertilizers, while maintaining ecological balance and reducing dependency on synthetic agrochemicals (Pandya, 2010).

Despite growing environmental consciousness and policy support for organic farming, adoption rates remain disappointingly low, particularly in central Indian states. This paradox stems from complex socio-economic constraints, inadequate institutional support mechanisms, and insufficient understanding of farmer-level barriers (Krishnamurthy et al., 2016). 1.2 Rationale for the Study: Previous research has predominantly focused on macro-level adoption patterns, with limited attention to ground-level socio-economic determinants and specific constraints faced by farming communities in central India. This study addresses this research gap by providing empirical evidence from Jabalpur district, employing robust analytical frameworks to quantify challenges and establish statistical relationships between farmer characteristics and organic farming adoption. 1.3 Research Objectives: The specific objectives of this study are: 1. To analyze the comprehensive socio-economic profile of farmers in Jabalpur district 2. To identify and prioritize constraints faced by farmers in adopting organic farming practices using Garrett'sranking technique 3. To examine statistical associations between socio-economic variables and organic farming adoption 4. To establish correlations between farm characteristics and extent of organic practice implementation.

Conclusion

5.1 Principal Findings: This comprehensive study of 300 farmers across three blocks of Jabalpur district establishes that organic farming adoption is constrained primarily by systemic institutional failures rather than farmer-level characteristics. The Garrett ranking analysis definitively identifies lack of technical knowledge and guidance as the paramount barrier (score: 72.45), followed by labor intensity (score: 68.32) and certification complexity (score: 65.18). 5.2 Statistical Validation: The study employs robust statistical frameworks including chi-square analysis, correlation analysis, and multiple regression to validate relationships between socio-economic variables and adoption patterns. The regression model (R² = 0.614) demonstrates that extension contact (β = 0.392), education (β = 0.286), and farm size (β = 0.234) are the primary predictors of organic farming adoption, providing quantitative evidence for targeted interventions. 5.3 Policy Implications: The empirical evidence suggests that organic farming promotion in Jabalpur district requires a multi-pronged approach prioritizing: 1. Extension System Strengthening: Given the strongest correlation (r = 0.618) and highest regression coefficient (β = 0.392) for extension contact, this should be the primary intervention focus 2. Simplified Certification: The high constraint severity (CSI = 75.2) for certification necessitates policy reforms promoting PGS and group certification 3. Market Infrastructure: The significant market linkage constraint (score: 61.54) requires establishment of organic-specific value chains and FPOs 4. Educational Targeting: Significant associations between education and adoption (χ² = 18.47, p < 0.01) suggest focusing on literate, middle-aged farmers as early adopters 5.4 Research Contribution: This study contributes to the organic farming literature by:  Providing quantitative constraint prioritization using Garrett'sranking technique  Establishing statistical relationships through chi-square and correlation analysis  Developing a predictive regression model for adoption behavior  Validating findings through multiple analytical techniques (triangulation)

VI. LIMITATIONS OF THE STUDY  Temporal Limitation: The cross-sectional design captures data atone point in time, limiting understanding of adoption dynamics over time. Longitudinal studies would provide insights into transition pathways and sustainability.  Geographical Scope: Findings are specific to Jabalpur district and may have limited generalizability to other agro-climatic zones. Replication studies in diverse regions would validate findings.  Sample Characteristics: The study focused on farmers with some exposure to organic farming concepts. Non-aware farmers were underrepresented, potentially underestimating knowledge barriers.  Economic Analysis: The study did not conduct detailed cost-benefit analysis of organic versus conventional farming, which would strengthen economic justification for adoption.  Environmental Impact: Soil health parameters, biodiversity indicators, and carbon sequestration were not measured, limiting assessment of environmental benefits.  Gender Dimension: The study did not adequately analyze gender-specific constraints and opportunities inorganic farming, despite women'ssignificant role in agricultural operations. ACKNOWLEDGMENTS The authors express sincere gratitude to the farmers of Panagar, Sihora, and Shahpura blocks for their cooperation and participation in this study. We acknowledge the support of District Agriculture Office, Jabalpur, and Block Development Officers for facilitating field data collection.

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