Farmers’ Perspectives on Sugarcane Management in Nepal: Empirical Evidence from Logistic Regression Model

Niranjan Devkota, Alika Kumari, Sahadeb Upretee, Devid Kumar Basyal, Surendra Mahato, Deependra Karki, Udaya Raj Paudel, Seeprata Parajuli and Krishna Dhakal
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Niranjan Devkota: Research Management Cell, Kathmandu Model College, Tribhuvan University, Bagbazar, Kathmandu, Nepal
Alika Kumari: Quest International College, Pokhara Univeristy, Gwarko, Lalitpur, Nepal
Sahadeb Upretee: Central Washington University, Washington, USA
Devid Kumar Basyal: Research Management Cell, Quest International College, Pokhara Univeristy, Gwarko, Lalitpur, Nepal
Surendra Mahato: Nepal Commerce Campus, Tribhuvan University, Minbhaban, Kathmandu, Nepal
Deependra Karki: Nepal Commerce Campus, Tribhuvan University, Minbhaban, Kathmandu, Nepal
Udaya Raj Paudel: Quest International College, Pokhara Univeristy, Gwarko, Lalitpur, Nepal
Seeprata Parajuli: Mahalaxmi Bikas Bank, Kathmandu, Nepal
Krishna Dhakal: Research Management Cell, Quest International College, Pokhara Univeristy, Gwarko, Lalitpur, Nepal

Journal of Agriculture and Crops, 2023, vol. 9, issue 2, 222-232

Abstract: The majority of rural poor in this country, as in most developing countries including Nepal, is dependent upon agriculture. In spite of sugarcane is a major economic crop, Nepalese sugarcane growers are getting problem day by day. The study was undertaken to analyze the viewpoints, attitudes, and perspectives of sugarcane growers on sugarcane cultivation and management among Nepalese farmers. The cognitive behavioral theory was applied to better understand how farmers’ behaviors and decision-making are influenced by their ideas, thoughts, and attitudes towards the industry. The study is based on explanatory research design and collected primary data using structured questionnaire. Following probability sampling techniques, cluster sampling is used to select 280 sugarcane farmers from at ward no. 3,8,9, and 10 of Kabilashi Municipality, a most sugarcane growers in Sarlahi. Data collection was made using kobo toolbox and observation methods. The Binary Logistic Model was used for analyzing farmers’ perspectives on sugarcane management. Results indicate that (80%) sugarcane growers are not getting paid on time and in full. Similarly, the logit model revealed that farmers are well aware of sugarcane management since factors were found to be statistically significant at a desirable probability level in the logit model. The study concludes that although Nepal has a lot of potential to enhance sugarcane production, but the full potential has not yet been fully realized. In this context, the findings of this research will be beneficial for the Ministry of Agriculture, policymakers, and the government to understand the challenges and issues faced by sugarcane growers and to develop policies and solutions to address these issues.How to Cite: Niranjan Devkota, Alika Kumari, Sahadeb Upretee, Devid Kumar Basyal, Surendra Mahato, Deependra Karki, Udaya Raj Paudel, Seeprata Parajuli, Krishna Dhakal, 2023. "Farmers’ Perspectives on Sugarcane Management in Nepal: Empirical Evidence from Logistic Regression Model." Journal of Agriculture and Crops, vol. 9, pp. 222-232.

Keywords: Farmers’ perspectives; Sugarcane management; Binary logistic regression; Kobo; Sarlahi. (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:arp:jacarp:2023:p:222-232

DOI: 10.32861/jac.92.222.232

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