Socio-economic Factors Affecting Adoption of Modern Information and Communication Technology by Farmers in India: Analysis Using Multivariate Probit Model

Mittal, Surabhi; Mehar, Mamta

doi:10.1080/1389224x.2014.997255

Cited by 174 publications

(110 citation statements)

References 12 publications

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“…Thus, an increase in the land holding size contributed to an increased probability of the WW adoption in rice cultivation of the study area. This is consistent with a previous study [18], which reported that farm size and the adoption of the traditional irrigation technology (i.e., the water wheel) were positively correlated. On the other hand, the adoption of WR technology and land holding size were significantly negatively correlated (β = −0.608, p < 0.01), which suggests that the large-scale farmers opted against the WR irrigation technology.…”

Section: Land Holding Sizesupporting

confidence: 82%

Influencing Factors of the Adoption of Agricultural Irrigation Technologies and the Economic Returns: A Case Study in Chaiyaphum Province, Thailand

2017

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This empirical research investigates the factors influencing the adoption of three irrigation technologies using a probit statistical model: water wheel (WW), water pump (WP), and weir (WR) irrigation technologies as well as their economic returns per unit of rice cultivated area. The influencing factors were categorized into demographic, socioeconomic, topographical, institutional, and attitudinal factor groups by 207 rice-growers in the Chaiyaphum province in northeastern Thailand. The results revealed that the land holding size, farm income, and water use association (WUA) membership factors were highly positively associated with the WW adoption. Meanwhile, age, farm income, skills training, and WUA membership were negatively correlated with the WP adoption. Nevertheless, proximity to a water source and upstream farmland location were positively correlated with the WP adoption. The WR adoption was positively associated with age but negatively correlated with the land holding size, upstream farmland location, and group participation factors. The cost-benefit analysis indicated that the WW irrigation scheme generated the highest economic return with the benefit-to-cost ratio schemes. The findings suggest that the WW irrigation technology would be deployed in the water management of other agricultural areas in the region to overcome the unfavorable geography and alleviate the local farmers' disadvantageous economic conditions.

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Section: Land Holding Sizesupporting

confidence: 82%

Influencing Factors of the Adoption of Agricultural Irrigation Technologies and the Economic Returns: A Case Study in Chaiyaphum Province, Thailand

2017

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“…This suggests that as farmers in rural areas become aged, the usage level of apps in the area will reduce, possibly because as the farmers advance in age their financial burden widens, perhaps due to increase in household size (i.e. increasingly higher dependency ratio), needs for expansion in housing needs and increased in farm production requiring additional expenditure etc, all of which would expectedly usurp the financial capability of these poverty-ridden farmers to maintain their apps-use intensity; and Surabhi and Mamta (2016) equally reported negative and significant relationship between education and use of mobile phone technologies, indicating that as the farmers go deep in acquiring Arabic education in the area, the less they are likely to use mobile phone apps which implies that educational status is a factor influencing the use of mobile phone technologies by farmers (Osadebamwen and Ideba, 2015). Furthermore, the outcome of this finding with respect to housing materials in use by farmers is in line with the a priori expectation, indicating that as more farmers adopt muddy dwellings, there is likelihood for decrease in the use intensity of mobile phone apps in the study area perhaps because farmers who are entangled by the clutches of abject poverty find it difficult or even impossible to afford homes made of modern housing material, and poverty-ridden farmers cannot frequently upset the cost implications of frequent use of mobile phone apps.…”

Section: Resultsmentioning

confidence: 99%

Use of Mobile Phone Applications by Farmers in North West Nigeria

Abdullahi¹,

Oladele²,

Yusuf³

2019

jae

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This study investigated extent of use of mobile phone applications among farmers in North-West Nigeria. A multi-stage sampling procedure was used to select 385 respondents for the study. Data were collected through the use of pre-tested structured questionnaire and summarized using frequency counts, percentages, mean and standard deviation. The Tobit regression model was used for inferential deductions. The results show that the majority (96%) owned a mobile phone; awareness of the call app and SMS app were100% and 97% respectively; while all other mobile phone apps recorded very low awareness and use. The prominent call and SMS mobile phone apps were used to contact family members and friends, respectively; whereas only 70% used call app to facilitate the purchase of farm input and 65% used it to get market-related information. Tobit regression analysis results showed that years of farming experience, awareness and knowledge of apps usage positively influenced the use of the mobile app. Farmers' awareness of mobile apps was low and they minimally used these apps for farming activities. Agricultural extension agencies and other relevant stakeholders should facilitate avenues to encourage the use of mobile phone apps for agricultural purposes among farmers and be circumspect in the bang-wagon effect of eextension approaches.

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“…Use of modern ICTs (e.g. mobile phones) increases with farm size among farmers in India (Mittal & Mehar, 2016). Mittal et al (2010) shows that farmers with large plots better leverage information and communications than small farmers, e.g.…”

Section: Farm Sizementioning

confidence: 99%

Smallholder farmers' use of mobile phone services in central Kenya

Krell

Giroux

Guido

et al. 2020

Climate and Development

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Information and services delivered through mobile phones, 'm-services', have transformative potential to provide rural African farmers with important agro-meteorological information. However, a greater understanding is needed regarding the types of m-services available to farmers, how farmers access that information, and possible factors affecting m-service use. With a study of smallholder farming communities in central Kenya, we examine factors affecting the likelihood of Kenyan farmers' adoption of m-services specifically related to agriculture and livestock information, buying and selling products, and alerts about agricultural or livestock activities. According to a survey of 577 farming households, 98% of respondents own a mobile phone. Approximately 25% use it to access information about agriculture and livestock, 23% access information about buying and selling products, and 18% receive alerts. Personal smartphone ownership increases the likelihood of m-services use (p < .001), as does membership in farmer organizations (p < .001). We find that age and income are not significantly related to m-service use, and we discuss this result in terms of intersections between smartphone ownership, gender, and education. Consistent with prior qualitative research, our quantitative results further support the need for m-services providers to design for basic or feature phone users for improved dissemination of agro-meteorological information. ARTICLE HISTORY

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Socio-economic Factors Affecting Adoption of Modern Information and Communication Technology by Farmers in India: Analysis Using Multivariate Probit Model

Cited by 174 publications

References 12 publications

Influencing Factors of the Adoption of Agricultural Irrigation Technologies and the Economic Returns: A Case Study in Chaiyaphum Province, Thailand

Influencing Factors of the Adoption of Agricultural Irrigation Technologies and the Economic Returns: A Case Study in Chaiyaphum Province, Thailand

Use of Mobile Phone Applications by Farmers in North West Nigeria

Smallholder farmers' use of mobile phone services in central Kenya

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