Technology adoption in maize farming: a comparative analysis between improved seed users and local seed users of Argakachi district of Nepal

Adhikari, Surya Prasad; Dahal, Bhishma Raj; Bist, Vivek

doi:10.15547/ast.2019.04.056

Cited by 4 publications

(5 citation statements)

References 15 publications

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“…The probit model was based on the cumulative normal probability distribution. The binary dependent variable, y< takes on the values of zero and one (Aldrich and Nelson, 1984;Adhikari et al, 2019). It was assumed that the i th farmers obtain maximum utility, it has farmers participation in cooperative over non-participation.…”

Section: Probit Regressionmentioning

confidence: 99%

“…The probability Pi of choosing any alternative over not choosing it can be expressed by the following equation, where φ represents the cumulative distribution of the standard normal random (Adhikari et al, 2019).…”

Section: Probit Regressionmentioning

confidence: 99%

“…A similar result was observed by (Olila, 2014). A plausible explanation for this statement is attributed to the fact that the education level of the male is higher than females in Nepal (Adhikari et al, 2019). Additionally, educated people are more aware of the benefits of agricultural cooperatives and increase the chances of participation (Karlı et al, 2006).…”

Section: Socio-economic Factors Affecting Farmers' Participation In C...mentioning

confidence: 99%

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Compare and Contrast the Perceptions Towards the Safe Production Behavior Between Cooperative Members and Noncooperative Members in Anbukhaireni Rural Municipality, Nepal

Subedi,

Jaishi

et al. 2023

Cul.comm.social.

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Nepal government has prioritized cooperative development for easy access to agricultural inputs, the adoption of improved technology, and the development of a sustainable market. A study was conducted to compare and contrast the perceptions towards the safe production behavior between cooperative members and non-cooperative members in Anbukhaireni Rural Municipality, Nepal Milijuli Krishi Utpadak Sahakari and Akala Krishi Sahakari were purposefully selected for the study. Ninety-one (91) cooperative members were randomly selected and ninety (90) non-cooperative members were selected through convienence sampling. A convergent parallel method was adopted, a face-to-face method of interview schedule followed by the mWater surveyor application was used for data collection. The five likert scale technique was used to indicate the extent of the perception of farmers’ towards various statements. The perception of the respondents was analyzed using chi-square test, and the Mann-Whitney U test. Probit regression was used to determine socio-economic factors affecting farmers participation in cooperatives. The cooperative members had the nearest market distance (z=-6.99, p<0.01) and were more involved in commercial farming (z=4.40, p<0.01). The probability of farmers’ participation was 12 % and 4.3 % higher for the farmers with gender as head of the household (z=2.52, p<0.05) and farmers who have received training related to cooperatives (z=2.09, p<0.05). In the perception study, the cooperative members agreed with the statements of input supply situation, saving/credit facility provided, technology adoption, and adoption on post-harvest operations as compared to non-cooperative members. The cooperative and non-cooperative members showed differences in the marketing behaviours with the point of sale (2=326.98, p<0.01), mode of transportation (2 = 250.65, p<0.01), and the price determination (2 =288.042, p<0.01).Therefore, training on the importance of agricultural cooperatives especially targeted to females, farmers with large farm sizes, and farmers whose farms are a bit farther from the market was suggested for safe agricultural production. Moreover, widespread development of the agricultural market (if not collection centers) should be made for sustainable agricultural production.

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Section: Probit Regressionmentioning

confidence: 99%

Section: Probit Regressionmentioning

confidence: 99%

Section: Socio-economic Factors Affecting Farmers' Participation In C...mentioning

confidence: 99%

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Compare and Contrast the Perceptions Towards the Safe Production Behavior Between Cooperative Members and Noncooperative Members in Anbukhaireni Rural Municipality, Nepal

Subedi,

Jaishi

et al. 2023

Cul.comm.social.

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“…The intensity of increased maize varieties chosen on plots managed by men, women and households which make their own decisions [2]. The adoption of technology and the benefit cost ratio of improved seed were significantly higher among the improved seed users compared to the local seed users, but the level of technology adoption was not satisfactory for improved seed [3]. The plant protection measure had a significant negative effect on wheat production.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Farmer Knowledge Level about Recommended Production Technology in Maize (Zea mays) Crop

Priya,

Panda,

Paswan

et al. 2023

IJECC

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The present research work was conducted in the Darbhanga and Bhagalpur district of Bihar to assess the knowledge level of farmers about recommended maize production technology. The ex-post facto research design was used. Three villages are purposefully chosen for each district and a total of 210 respondents were selected randomly. Results shown that the majority of respondents (40.5%) fall into the 40–54-year age group followed by most the respondents have educational background up to the level of senior secondary. It was observed that most the respondents have farming experience range of 9 -14 years followed by BAO (Block Agriculture Officer) is the most preferred extension exposure by the respondents, most of the respondents had the membership of panchayat. The average knowledge level of respondents is determined by knowledge test which contains question regarding different cultivation practices of maize further data from result revealed that the average knowledge level in planting time, soil and land preparation, method of sowing, seed rate and spacing, irrigation management, insect- pest management is higher in Bhagalpur respondents compare to Darbhanga district respondents. Average knowledge level in insect -pest management is low in both districts compare to other cultivation practices.

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“…Though, farmers' motivation plays a key role in order to fulfill the production gap. Further, the existing literature describes the gender, age, family size, income, land size (Adhikari et al, 2019;Piya & Joshi, 2021), access to extension, and credit (Lamichhane et al, 2018), experience, farm size (Chete, 2021), training, education (Hagos et al, 2018) and type of family (Kattel & Acharya, 2016) are the primary variables influencing for the decision of farmers. However, no study to date has been noted in Kailali about the adoption decision behavior of farmers on rice seed production.…”

Section: Introductionmentioning

confidence: 99%

Determinants for adoption of foundation rice seed production: Evidence from Kailali district of Nepal

Dhungana¹

2022

J. Agric. For. Univ.

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Rice seed production is an emerging agricultural enterprise to increase the income of farmers in Kailali. However, adoption of seed production technology is very limited in spite of its potential, which results in the poor supply of quality seed for its multiplication. Thus, this paper examines the influencing factors affecting farmers’ decision to adopt the foundation rice seed production in Kailali, Nepal. In total 158 households, 116 certified, and 42 foundation seed producers were selected using a stratified random sampling technique. The primary data were collected from September to November 2021. T-test, chi-square, and binary logistic model were applied for data analysis using SPSS. The result revealed that land size, experience, gender of household head, access to credit, training, extension contact, and type of family are statistically significant between two categories. Besides, the empirical result of logistic regression analysis indicated that out of twelve, six explanatory variables such as age, experience, training, extension contact, education, and type of family had significantly influence on adoption decision. Therefore, it is concluded the rice seed training programs and increasing the extension services would be beneficial to motivate the farmers for the production of foundation rice seed production.

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Technology adoption in maize farming: a comparative analysis between improved seed users and local seed users of Argakachi district of Nepal

Cited by 4 publications

References 15 publications

Compare and Contrast the Perceptions Towards the Safe Production Behavior Between Cooperative Members and Noncooperative Members in Anbukhaireni Rural Municipality, Nepal

Compare and Contrast the Perceptions Towards the Safe Production Behavior Between Cooperative Members and Noncooperative Members in Anbukhaireni Rural Municipality, Nepal

Assessment of Farmer Knowledge Level about Recommended Production Technology in Maize (Zea mays) Crop

Determinants for adoption of foundation rice seed production: Evidence from Kailali district of Nepal

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