Influence of demographic characteristics and social network on peri-urban smallholder farmers adaptation strategies - evidence from southern Ghana

Anum, Reginald; Ankrah, Daniel Adu; Anaglo, Jonathan Nicholas

doi:10.1080/23311932.2022.2130969

Cited by 12 publications

(4 citation statements)

References 59 publications

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“…The hypothesized signs on how various factors are likely to influence a farmer's extent of commercialization via digital platforms are as shown in Table 1. Age is usually considered as a proxy for farming experience in various studies (Dessale, 2019;Marechera et al, 2019;Anum et al, 2022) and so was in this study. It was expected that age improves a farmer's extent of due to marketing experience of a cash crop like potato.…”

Section: Expected Signs For the Variables On The Extent Of Commercial...mentioning

confidence: 92%

Drivers of extent of commercialization of potato farming through digital marketing platforms in Nakuru County, Kenya

Maina,

Mburu,

Nyang’anga

2024

Front. Sustain. Food Syst.

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Digital agricultural marketing platforms have emerged as one of the key tools for facilitating farmers’ access to markets. While previous studies have predominantly focused on examining factors influencing adoption of these platforms, there remains a gap in understanding factors that determine the proportion of a farmer’s produce marketed through the platforms. This knowledge is crucial for effective scaling up of digital marketing platforms. Consequently, this research aimed to evaluate the extent of commercialization of potato farming through Digital Agricultural Marketing Platforms (DAMPs), with a specific focus on the M-shamba platform in Kenya. To achieve this objective, data was collected in 2022 from a sample of 375 potato farmers from Nakuru County. The data was analyzed with Stata using probit and Tobit models through the conditional mixed process. The findings revealed that total farm income, price per kilogram of output, access to credit, size of the farm dedicated to potato cultivation, and age of the household head influenced the use of M-shamba platform. Further, the extent of commercialization through M-shamba was significantly determined by total livestock units, marketing decision-maker, having potato farming as primary enterprise, farm income, access to credit, membership to agricultural groups, and age of the household head. In light of these findings, the study recommends targeted support and training programs for older farmers to enhance their proficiency in utilizing DAMPs. Moreover, policies and initiatives aimed at increasing farm income should be implemented to assist farmers with limited incomes. Farmers in groups should be encouraged to participate in collective digital marketing efforts.

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Section: Expected Signs For the Variables On The Extent Of Commercial...mentioning

confidence: 92%

Drivers of extent of commercialization of potato farming through digital marketing platforms in Nakuru County, Kenya

Maina,

Mburu,

Nyang’anga

2024

Front. Sustain. Food Syst.

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“…The pandemic has adversely affected Travel and tourism, a decline in the productivity and production of the services industry [ 117 ]. Besides, Social media and internet use have enabled peri-urban farmers to access information on pandemics, market opportunities, networking, capacity building, and financial services [ [30] , [31] , [32] , [33] ]. Hence, households quickly adapted to the pandemic shock with the support of significant fiscal and monetary policy measures.…”

Section: Review Of Literaturementioning

confidence: 99%

“…It fosters a favorable environment for non-farm income, total income, and consumption expenditures of rural households [ 28 , 29 ]. Innovation in social media and internet use provides peri-urban farmers with access to information, market opportunities, networking, capacity building, and financial services [ [30] , [31] , [32] , [33] ]. These benefits empower farmers to overcome the adverse effects of urbanization on their livelihoods.…”

Section: Introductionmentioning

confidence: 99%

Impact of urbanization on the welfare of farm households: Evidence from Adama Rural District in Oromia regional state, Ethiopia

Dadi,

Mulugeta,

Semie

2024

Heliyon

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“…3.3.5 Control variables. According to relevant literature, the personal characteristics of farmers, such as gender, age, years of education, political identity, years of farming, and health status, were selected (Anum et al, 2022;Burton, 2014), basic household characteristics such as household income level and arable land size (Wekesah et al, 2019), as well as risk appetite (Simtowe, 2006), and environmental perception (Hien and Chi, 2023) as control variables for this paper.…”

Section: Mediation Variablesmentioning

confidence: 99%

How do digital media strengthen the role of social networks in promoting farmers' adoption of climate change mitigation measures?

Liu,

Yan

2024

CAER

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PurposeThis paper investigates the ways digital media applications in rural areas have transformed the influence of social networks (SN) on farmers' adoption of various climate change mitigation measures (CCMM), and explores the key mechanisms behind this transformation.Design/methodology/approachThe study analyzes data from 1,002 farmers’ surveys. First, a logit model is used to measure the impact of SN on the adoption of different types of CCMM. Then, the interaction term between digital media usage (DMU) and SN is introduced to analyze the moderating effect of digital media on the impact of SN. Finally, a conditional process model is used to explore the mediating mechanism of agricultural socialization services (ASS) and the validity of information acquisition (VIA).FindingsThe results reveal that: (1) SN significantly promotes the adoption of CCMM and the marginal effect of this impact varies with different kinds of technologies. (2) DMU reinforces the effectiveness of SN in promoting farmers' adoption of CCMM. (3) The key mechanisms of the process in (2) are the ASS and the VIA.Originality/valueThis study shows that in the context of DMU, SN’s promotion effect on farmers' adoption of CCMM is strengthened.

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Influence of demographic characteristics and social network on peri-urban smallholder farmers adaptation strategies - evidence from southern Ghana

Cited by 12 publications

References 59 publications

Drivers of extent of commercialization of potato farming through digital marketing platforms in Nakuru County, Kenya

Drivers of extent of commercialization of potato farming through digital marketing platforms in Nakuru County, Kenya

Impact of urbanization on the welfare of farm households: Evidence from Adama Rural District in Oromia regional state, Ethiopia

How do digital media strengthen the role of social networks in promoting farmers' adoption of climate change mitigation measures?

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