INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title:
A Study on Farmers' Perception towards Electronic National Agriculture Market (e-NAM) Systems Adopted by APMC Market (Agricultural Produce Market Committee)
Electronic National Agriculture Market (e-NAM) system has emerged as a transformative initiative in the agricultural sector, aimed at facilitating transparent and efficient trading of agricultural commodities. This study focuses on understanding farmers' perception towards e-NAM systems that have been adopted by the Agricultural Produce Market Committee (APMC) market.
The objective of this study is to explore farmers' attitudes, opinions, and experiences with the e-NAM system, and to assess its impact on their trading practices within the APMC market. The research employs a mixed-method approach, combining qualitative interviews and quantitative surveys to gather comprehensive data.
The findings of this study reveal that farmers generally have a positive perception towards the e-NAM system. The adoption of e-NAM has resulted in improved access to markets, reduced information asymmetry, enhanced price discovery, and increased market transparency. Farmers perceive these benefits as crucial for their trading decisions, enabling them to make informed choices and obtain fair prices for their agricultural produce.
Additionally, the study identifies some challenges and areas for improvement in the implementation of e-NAM systems. These include issues related to technical infrastructure, connectivity, digital literacy, and trust in the online trading platform. Addressing these challenges can further enhance farmers' participation and acceptance of the e-NAM system.
The research also highlights the significance of providing adequate training and support to farmers to effectively utilize the e-NAM platform. Capacity-building initiatives and awareness programs can help farmers understand the features and functionalities of the system, ensuring its effective utilization and maximizing its benefits.
Overall, this study contributes to the existing literature by providing insights into farmers' perception towards e-NAM systems adopted by the APMC market. The findings suggest that e-NAM has the potential to transform agricultural trading practices, benefiting farmers by improving market access and facilitating fair and transparent transactions. The study recommends policy interventions and technological advancements to overcome the challenges faced during the implementation of e-NAM and further enhance its effectiveness in the agricultural sector.
Keywords:
Study, Farmers' perception, Electronic National Agriculture Market (e-NAM), APMC market, Agricultural Produce Market Committee, Trading practices, Market transparency, Price discovery, Access to markets, Information asymmetry.
Cite Article:
"A Study on Farmers' Perception towards Electronic National Agriculture Market (e-NAM) Systems Adopted by APMC Market (Agricultural Produce Market Committee)", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.d63-d74, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309308.pdf
Downloads:
000118762
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn