Assessing the Role of Kisan Rail on Agri-Supply Chain in India: Insights from Mixed-Method Research

Agriculture plays a significant role in the country’s economy still there are inefficiencies in logistics of sector which hinder farmers' profitability. The Government of India (GoI) has launched the Kisan Rail (KR) scheme in 2020 which aims to address these challenges by providing an affordable and accessible rail transport system for agricultural produce. This study evaluates the effectiveness of KR scheme in Madhya Pradesh. The evaluation uses four variables namely accessibility, affordability, awareness, market access, and income enhancement to assess the effectiveness of KR scheme. The convergent parallel mixed-methods approach was used and qualitative data was analysed using techniques such as word cloud & triangulation. The quantitative analysis was done using Pearson correlation and fractional logistics regression. The findings revealing that KR significantly improves affordability, market reach, and income stability, especially for small and medium farmers. However, infrastructure gaps, first-mile connectivity issues, scheduling inefficiencies, and inconsistent policy implementation hinder full adoption. Additionally, limited awareness and outreach, particularly among marginal and female farmers, restrict utilization. The study highlights KR’s potential in reducing post-harvest losses and bypassing intermediaries but calls for stronger government intervention, infrastructure upgrades, dynamic pricing models, and digital integration to maximize impact. Future research should explore KR’s long-term sustainability using longitudinal studies and advanced econometric models to enhance India’s agricultural supply chain.

Authors

Publication Details

Journal
AgEcon Search (University of Minnesota, USA)
Published
2026-09-16
DOI
https://doi.org/10.22004/ag.econ.410365
Primary Topic
Logistics and Infrastructure Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Assessing the Role of Kisan Rail on Agri-Supply Chain in India: Insights from Mixed-Method Research

Nunes William, Chauhan Abhishikt
AgEcon Search (University of Minnesota, USA)
Logistics and Infrastructure Analysis
article

Assessing the Role of Kisan Rail on Agri-Supply Chain in India: Insights from Mixed-Method Research

Nunes William, Chauhan Abhishikt
article en

Abstract

Agriculture plays a significant role in the country’s economy still there are inefficiencies in logistics of sector which hinder farmers' profitability. The Government of India (GoI) has launched the Kisan Rail (KR) scheme in 2020 which aims to address these challenges by providing an affordable and accessible rail transport system for agricultural produce. This study evaluates the effectiveness of KR scheme in Madhya Pradesh. The evaluation uses four variables namely accessibility, affordability, awareness, market access, and income enhancement to assess the effectiveness of KR scheme. The convergent parallel mixed-methods approach was used and qualitative data was analysed using techniques such as word cloud & triangulation. The quantitative analysis was done using Pearson correlation and fractional logistics regression. The findings revealing that KR significantly improves affordability, market reach, and income stability, especially for small and medium farmers. However, infrastructure gaps, first-mile connectivity issues, scheduling inefficiencies, and inconsistent policy implementation hinder full adoption. Additionally, limited awareness and outreach, particularly among marginal and female farmers, restrict utilization. The study highlights KR’s potential in reducing post-harvest losses and bypassing intermediaries but calls for stronger government intervention, infrastructure upgrades, dynamic pricing models, and digital integration to maximize impact. Future research should explore KR’s long-term sustainability using longitudinal studies and advanced econometric models to enhance India’s agricultural supply chain.

AgEcon Search (University of Minnesota, USA)
Zero hunger
Openalex Percentile: Top 5%
Logistics and Infrastructure Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.