Unraveling heterogeneity in farmer's adoption of mobile phone technologies: A systematic review

Aparo, Nathaline Onek; Odongo, Walter; Steur, Hans De

doi:10.1016/j.techfore.2022.122048

Cited by 16 publications

(5 citation statements)

References 103 publications

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“…Moreover, the individual characteristics of growers play a crucial role in determining DTs adoption. Males may find it easier to access information, material and financial resources, and conform to social norms, thereby increasing their likelihood of adopting DTs [107]. Additionally, larger-scale farming operations, which generate relatively higher incomes, tend to reduce the perceived investment risk for new technologies [108], providing greater capital channels for acquiring DTs and increasing the likelihood of adopting multiple ones [109].…”

Section: Discussion Of Factors Influencing Dts Adoption Intensitymentioning

confidence: 99%

Digital Technologies Adoption and Economic Benefits in Agriculture: A Mixed-Methods Approach

Geng,

Liu,

Zhao

et al. 2024

Sustainability

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Governments globally aim to boost productivity and enhance farmers’ livelihoods, addressing challenges like climate change, food security, and labor shortages through digital technologies. However, adoption rates in developing countries remain low due to uncertainties regarding expected returns and obstacles stemming from subjective and objective factors among farmers. This study takes China as a case study to examine the internal and external factors influencing growers’ adoption intensity of digital technology and its impact on enhancing economic benefits, aiming to provide valuable insights for the promotion of digital technology in other countries and regions. This study employs a mixed-methods approach, integrating qualitative and quantitative methodologies, utilizing data from Shandong and Liaoning provinces. The findings underscore the significant role of growers’ knowledge, technology compatibility, government support, and competitive pressure in driving the adoption of digital technology among growers, with male growers and those managing larger cultivation areas demonstrating higher adoption intensity. Digital technologies can enhance growers’ economic benefits by reducing labor and input costs, increasing yields, and improving quality, with a 30.4% increase in economic benefits for each unit increase in adoption intensity of digital technologies. Technology promoters can use these findings to enhance growers’ awareness, highlight the practical benefits, and offer agricultural socialized services to promote digital technology adoption.

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Section: Discussion Of Factors Influencing Dts Adoption Intensitymentioning

confidence: 99%

Digital Technologies Adoption and Economic Benefits in Agriculture: A Mixed-Methods Approach

Geng,

Liu,

Zhao

et al. 2024

Sustainability

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“…Technical literacy facilitates individuals and organizations to collect and understand low-price venture records. Weather stations, soil moisture sensors, and energy consumption meters can help pick out and set up low-cost, aid-efficient landscape design additives (Aparo, Odongo, & De Steur, 2022). Technological literacy streamlines information processing and interpretation, aligning low-value techniques with long-term desires.…”

Section: Discussionmentioning

confidence: 99%

Sustainable Landscape Design and Traditional Villages in Xuzhou, Jiangsu: Low-cost Strategies and Big Data Applications Influencing AI Integration

Wang,

Mayusoh,

Inkuer

2024

J INFORM SYSTEMS ENG

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Big Data usage and Artificial Intelligence (AI) technology combined offer a potential approach to solving challenging problems. AI-driven solutions provide insightful analysis and creative solutions by utilizing the power of big data analytics. With an emphasis on the mediating role of technological literacy and the moderating effect of resource availability, this study investigates the effects of low-cost techniques, the usage of Big Data, and the integration of Artificial Intelligence (AI) on sustainability in landscape design. The purpose of this study is to look at the intricate connections between these factors and how they affect sustainable landscape design methods and results as a whole. A standardized questionnaire was answered by a sample of 458 landscape experts as part of a quantitative approach. Smart PLS (Partial Least Squares), which incorporates evaluations of measurement models, structural models, and mediation and moderation studies, was utilized for data analysis. The study found that using Big Data, implementing low-cost techniques, and incorporating AI all had very favourable effects on sustainability in landscape design. The efficient use of Big Data and AI was found to be mediated by technological literacy, highlighting the importance of this concept in this context. Additionally, resource availability emerged as a critical moderating factor, influencing the strength of these relationships. This research contributes to the field by offering a holistic understanding of the dynamics within sustainable landscape design, emphasizing the importance of integration of AI and utilization of Big Data. It provides practical insights for landscape professionals, informs policy development, and advances educational curricula about AI and Big Data in landscape architecture. The study's limitations include potential response bias due to self-reported data and the cross-sectional design, which restricts the establishment of causal relationships. Additionally, the study focused on professionals, limiting the generalizability of findings to broader community perspectives.

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“…Factors influencing farmersʹ decision to use digital finance include their human capital, financial capital, social capital, and physical capital. These factors include age, health status, education level, risk perception [23][24][25], planting area, household size, household income, farmer organization, and other endowments [24,26,27]. Based on this, this study incorporates individual characteristics of the household head, household characteristics, and village characteristics into the farmersʹ digital finance usage behavior equation.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

The Impact of Digital Finance on Farmers’ Adoption of Eco-Agricultural Technology: Evidence from Rice–Crayfish Co-cultivation Technology in China

Liu,

Qi,

Tian

et al. 2024

Preprint

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Eco-agricultural technology is crucial to alleviating agricultural resource scarcity and environ-mental pressures. However, financial constraint affects its successful promotion. Digital finance has a significant impact on farmers, but existing research lacks an exploration of the impact of digital finance on farmers' adoption of eco-agricultural technology. This study focuses on Rice–Crayfish Co-cultivation Technology as an example. It utilizes survey data from 1,063 households in China. An Endogenous Switching Probit model is employed to solve self-selection bias. The results reveal several key findings. First, the average treatment effect on the treated is 51.5%. This indicates that if farmers who use digital finance were to stop using it, the probability of adopting rice–crayfish co-cultivation technology would decrease by 51.5%. Therefore, digital finance is beneficial for farmers in adopting this technology. Second, heterogeneity analysis reveals that digital finance has a greater promoting effect on older farmers, those with lower education levels, and higher proportions of agricultural income. This suggests a greater reliance on digital financial services among vulnerable groups. Third, digital finance promotes farmers' adoption of rice–crayfish co-cultivation technology by alleviating financial constraints, expanding information channels, and increasing social capital accumulation. Overall, the findings offer valuable insights for for-mulating supportive policies.

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Unraveling heterogeneity in farmer's adoption of mobile phone technologies: A systematic review

Cited by 16 publications

References 103 publications

Digital Technologies Adoption and Economic Benefits in Agriculture: A Mixed-Methods Approach

Digital Technologies Adoption and Economic Benefits in Agriculture: A Mixed-Methods Approach

Sustainable Landscape Design and Traditional Villages in Xuzhou, Jiangsu: Low-cost Strategies and Big Data Applications Influencing AI Integration

The Impact of Digital Finance on Farmers’ Adoption of Eco-Agricultural Technology: Evidence from Rice–Crayfish Co-cultivation Technology in China

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