Determinants of Adoption and Extent of Agricultural Intensification in the Central Mid-hills of Nepal

Abstract

<p>This study analyzed the adoption and extent of agricultural intensification at household level in Ansikhola watershed in mid-hills. Structured questionnaire survey of 310 households, key informants interviews and focus group discussion methods were applied to collect the necessary information. The results revealed that 63% of the sampled households were practicing AI, with differences in the area under cropping intensification. The binary logistic regression model carried out to determine the factors influencing the adoption of AI, indicated five significantly influencing variables to the adoption process, namely, irrigation facility, higher crop yield, landholding size, access to credit and distance to market for chemical fertilizer purchase. Likewise, the Linear Regression performed to find out the determinants of the extent of AI revealed three significantly influencing variables, namely, total amount of fertilizer application, net income from cereals and vegetables and distance to chemical fertilizer store. The results of this study could help in formulating policies based on farmers’ need, interest, capacity and limitation in promoting sustainable AI.</p

Pathway analysis of vegetable farming commercialization in Indonesia

“…Larger farm size and higher wealth status of the household increase the likelihood of farmers commercializing vegetable production. This finding confirms previous studies in Indonesia and other developing countries (Mariyono & Sumarno, 2015;Raut et al, 2011). The longer time to harvest, the lower intention for farmers is to engage commercial farming.…”

“…Vegetables are perishable, thus the distance to vegetable markets is a critical determinant of marketing success. Many studies have shown that distance to market is the significant driving force to adoption of agricultural technology (Raut et al, 2011). The closer farmers are to vegetable markets, the more likely it is that they will engage in commercial farming.…”

“…This variable has attracted particular research attention in the commercialization of agriculture around the world (Kafle, 2010;Kumar, 2009;Kuntariningsih & Mariyono, 2013;Raut et al, 2011;and Zeller, Diagne, & Mataya, 1997).…”

“…The greater the number of agricultural technologies applied in farming, the more efficient farming will be. With the availability of agricultural technology, farmers are more likely to engage in agribusiness ventures (Kafle, 2010;Raut, Sitaula, Vatn, & Paudel, 2011).…”

Effect Characteristics of Farmers on the Level of Technology Adoption Side-Grafting in Cocoa Farming at Sigi Regency-Indonesia

“…Statistical and qualitative evidence showed that experimentation and adoption did not depend on education. The same was stated by Raut, Sitaula, Vatn, and Paudel (2011) that education did not affect the farmer's decision about the application of intensive agriculture at Nepal. the education variables had a significant positive correlation with the adoption of technology.…”