Technical efficiency in tomato production among smallholder farmers in Kirinyaga County, Kenya

Mwangi, Thomas Mbogo; Ndirangu, Samuel Njiri; Isaboke, Hezron N.

doi:10.5897/ajar2020.14727

Cited by 23 publications

(15 citation statements)

References 3 publications

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“…valued at KES11.8 million [7]. Tomato is mainly produced in Bungoma, Kirinyaga, and Kajiado, which accounted for 37% [8]. Tomato is grown either in open fields or under greenhouse technology.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Socioeconomic Factors Influencing Adoption of Integrated Pest Management (IPM) among Smallholder Tomato Farmers in Buuri Sub-County, Meru County, Kenya

Kihoro

Micheni

Ng’ang’a

2021

AJAEES

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The study examines the socioeconomic factors that influence the adoption of Integrated Pest Management in 152 smallholder tomato farmers in Buuri Sub-County, in Meru County Kenya. A random stratification sampling procedure was used to obtain smallholder tomato farmers and a semi-structured questionnaire was used to collect primary data which was analyzed using a binary logistic regression model. The results showed that the average land size for tomato production in the area was 1 acre, with average yields of 35 tonnes per acre, Kshs 592,000 net returns/ acre for IPM adopters. The study established that gender type (5%), farm size (5%), labor (5%), and access to information (5%), and age of the farmers (5%) were statistically significant. Additionally, gender type resulted in an increase of adoption of IPM by 43%, farm size by 8%, labor by 11%, while access to information by 40%. The study concluded that different stakeholders should ensure a support system to various IPM practices to lower production costs and encourage adopting the techniques.

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Section: Introductionmentioning

confidence: 99%

Analysis of Socioeconomic Factors Influencing Adoption of Integrated Pest Management (IPM) among Smallholder Tomato Farmers in Buuri Sub-County, Meru County, Kenya

Kihoro

Micheni

Ng’ang’a

2021

AJAEES

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“…Studies like that of Delay et al (2022) further reinforce the necessity of a holistic approach, showing that farms employing a comprehensive set of PA technologies tend to be significantly more efficient. But this comprehensive approach may be too expensive for small-scale farmers (Mwangi et al, 2020; Nyairo et al, 2022). In summary, the trajectory of PA adoption among small-scale farmers is shaped by a confluence of factors: the farmer's digital literacy, the robustness of the underlying infrastructure, and the integration of multiple technologies.…”

Section: Findings and Discussionmentioning

confidence: 99%

“…Policy interventions can provide some respite from these economic challenges. Programmes like subsidised greenhouse costs and stabilised input prices, as emphasised in a study in Kirinyaga town, Kenya (Mwangi et al, 2020), or specialised financial support systems like subsidised credit programmes and flexible loans (Shrestha and Khanal, 2020), can significantly ease the financial burden. Such mechanisms not only make technology adoption financially feasible but also catalyse innovation within the agricultural sector, unlocking the latent potential of PA for optimised productivity, profitability and environmental sustainability (Lundblad and Rissanen, 2018; Raghunath and Syamala Devi, 2022).…”

Section: Findings and Discussionmentioning

confidence: 99%

A systematic review on the factors governing precision agriculture adoption among small-scale farmers

John,

Hussin,

Shahibi

et al. 2023

Outlook Agric

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The global agricultural paradigm is witnessing a transformative shift with the advent of precision agriculture. While large-scale agricultural enterprises have been swift in their embrace of this innovation, its uptake among small-scale farmers remains nuanced and complex. This study elucidates the multi-faceted determinants that influence the adoption of precision agriculture within the small-scale farming sector. The study adopts a systematic literature review approach, meticulously selecting and analysing 29 relevant papers. Drawing upon an exhaustive literature review and empirical analyses, the research presents a composite framework weaving economic, technological, social, and environmental factors. Among these, the social dynamics emerge as the most significant factor, shaped by awareness levels, knowledge dissemination pathways, and entrenched cultural norms. These social elements often intertwine with ingrained traditional practices and perceptions, forming the most intricate layer shaping adoption attitudes. Notably, although economic factors like substantial initial investments and the calculus of Return on Investment are present, they are overshadowed by social considerations. The technological landscape is characterised by the challenges of digital literacy, infrastructural readiness, and technological interoperability. Lastly, environmental imperatives, underscored by resource scarcity, climate change resilience, and ecosystem services, offer both challenges and motivations. Together, these factors delineate the intricate roadmap guiding small-scale farmers in their journey toward precision agriculture adoption. This comprehensive exploration provides stakeholders with actionable insights, fostering informed decision-making and strategic interventions to augment precision agriculture's integration within the small-scale farming tapestry.

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“…The SPF model used in this research refers to Battese & Coelli [24]. The Cobb-Douglas model has proven to be suitable and has various advantages to be applied to small-scale farming [25,26]. The production function model of potato farming in this study is as follows:…”

Section: Research Model and Data Analysismentioning

confidence: 99%

The choice of land conservation technique and effects on technical efficiency of potato farming in the highland of Bandung Regency, West Java

Adhi

Putri

Pambudy

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The area of agricultural land is increasingly limited, making land conservation a must. The objective of the study was to determine the factors that influence the choice of land conservation and its effect on the technical efficiency of highland potato farming. This study used data at the farm level which was obtained through a survey by conducting structured interviews with 184 potato farmers in Pangalengan – West Java who were randomly selected. Data analysis employed the Propensity Score Matching (PSM) method to eliminate selection bias in the selection of a sample of farmers who applied tillage in the direction of the slope or in the direction of the contour compare with tillage using the bench terrace technique. The comparison of technical efficiency is done by using the frontier production function model. The results showed that the slope of farm land and the ownership status of the land have a positive effect on the selection of bench terrace soil conservation techniques. The level of technical efficiency of potato farming using land management techniques of the slope-wise or contour-wise was not significantly different from the level of technical efficiency of farming using the bench terrace technique. Public policies that can increase the certainty of the status of farmers’ arable land will have a positive effect on the adoption of farming technology that takes into account the principles of land conservation.

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Technical efficiency in tomato production among smallholder farmers in Kirinyaga County, Kenya

Cited by 23 publications

References 3 publications

Analysis of Socioeconomic Factors Influencing Adoption of Integrated Pest Management (IPM) among Smallholder Tomato Farmers in Buuri Sub-County, Meru County, Kenya

Analysis of Socioeconomic Factors Influencing Adoption of Integrated Pest Management (IPM) among Smallholder Tomato Farmers in Buuri Sub-County, Meru County, Kenya

A systematic review on the factors governing precision agriculture adoption among small-scale farmers

The choice of land conservation technique and effects on technical efficiency of potato farming in the highland of Bandung Regency, West Java

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