Knowledge in agriculture: a micro data assessment of the role of internal and external knowledge in farm productivity in Sweden

Bjerke, Lina

doi:10.7896/j.1617

Cited by 4 publications

(5 citation statements)

References 44 publications

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“…The extension knowledge and new technologies (such as the use of improved seeds) are, for example, rather distributed in areas closer to agricultural research stations. According to Bjerke (2016), knowledge spillovers are affected by accessibility. Despite the growing number of development agents (DAs) in Ethiopia, internal knowledgewhich provides target groups with the cognitive skills to interpret and adopt external knowledge (Bjerke, 2016) in agriculture continues to remain low.…”

Section: Knowledge In Agriculturementioning

confidence: 99%

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Social learning in smallholder agriculture: the struggle against systemic inequalities

Leta

Stellmacher

Kelboro

et al. 2018

Journal of Workplace Learning

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Purpose -Ethiopia operates a large agricultural extension service system. However, access to extensionrelated knowledge, technologies and agricultural inputs is unequally distributed among smallholder farmers. Social learning is widely practiced by most farmers to cope with this unequal distribution though its practices have hardly been documented in passing on knowledge of agriculture and rural development or embedding it into the local system of knowledge production, transfer and use. The purpose of this study is, therefore, to identify the different methods of social learning, as well as their contribution to the adoption and diffusion of technologies within Ethiopia's smallholder agricultural setting.Design/methodology/approach -A mixed methods approach was used, comprising farmer and expert interviews, focus group discussions, informal individual discussions and key informant interviews. The data were documented, coded and later analyzed using SPSS and ATLAS.ti.Findings -The findings showed that 55 per cent of the farmers in the studied areas fully relied on social, community-level learning to adopt agricultural technologies, while 35 per cent of them relied on social learning only partly. Farmers acquired knowledge through social networks by means of communication, observation, collective labor groups, public meetings, socio-cultural events and group socialization. Informal institutions such as iddir, debo and dado, helped farmers learn, adopt and diffuse technologies. Originality/value -This study used the concept of epistemic oppression by Dotson (2014) as a conceptual framework to examine farmers' access to extension services and to analyze how informal institutions serve as workplace learning for the smallholder farmers. The authors suggest community-level social learning serves This study is part of the interdisciplinary research project "Improving Food Security in Africa through increased System Productivity of Biomass-based Value Webs" (BiomassWeb, see www. biomassweb.org) at the Center for Development Research (ZEF), University of Bonn, under the Work Package 7.1: Follow the Innovation -Collective Learning, Change Adaptation and Transition Management in Ethiopia. BiomassWeb is financed by the German Federal Ministry of Education and Research (BMBF) and the German Federal Ministry for Economic Cooperation and Development (BMZ), for which the authors are grateful. The first author extends his gratitude to the Leibniz Center for Tropical Marine Research (ZMT) for hosting during the write-up phase. The authors are also grateful to the two anonymous reviewers' comments that helped them to enrich the paper.

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Section: Knowledge In Agriculturementioning

confidence: 99%

“…According to Bjerke (2016), knowledge spillovers are affected by accessibility. Despite the growing number of development agents (DAs) in Ethiopia, internal knowledgewhich provides target groups with the cognitive skills to interpret and adopt external knowledge (Bjerke, 2016) in agriculture continues to remain low.…”

Section: Knowledge In Agriculturementioning

confidence: 99%

Social learning in smallholder agriculture: the struggle against systemic inequalities

Leta

Stellmacher

Kelboro

et al. 2018

Journal of Workplace Learning

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“…Results have shown the necessity for the addressed companies to support flexible working arrangements, employee productivity and the use of specialists, which is in accordance with Angeloni and Brogonovi (2016) and Ciutiené and Railaité (2015). Age management in agriculture can also help to ensure the knowledge continuity process and to effectively use the internal and external knowledge to increase the performance of agriculture organisations, which is confirmed by the research of Bjerke (2016). Increasing the agricultural managers´ knowledge by educating them can increase labour productivity, which is confirmed by Nowak and Kijek (2016).…”

Section: Freelancingmentioning

confidence: 79%

“…Knowledge sharing among all generations of employees is a key aspect of age management (Urbancová and Hudáková, 2017) in companies because ageing of the population has a negative impact on the labour market and future employment in companies (Kosir and Soba, 2016), primarily so in agriculture. With regard to the competitive environment and high costs incurred by organisations in relation to creating new jobs and adapting to the requirements of employees, a continuous emphasis on their education and development is needed (Lambert, 2018;Bjerke, 2016). It is necessary for farms and agricultural companies to focus on the organisation of working time (Askenazy, 2013), including flexible forms of employment as well as flexible forms of working time organisation (Stirple et al, 2018;Urbancová and Navrátilová, 2016).…”

Section: Introductionmentioning

confidence: 99%

Working time organisation of senior workers in agricultural companies with a focus on age management

2019

Stud. Agr. Econ.

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The current situation on European agricultural labour markets and the expected demographic development emphasise the need to address the issues of work and working time organisation in order to attract a young generation to agriculture. The aim of this paper is to evaluate the use of modern individual methods of working time organisation within agricultural companies. Data was collected through a quantitative survey consisting of 259 active agricultural companies in the Czech Republic. Results suggest that three factors were responsible for working time organisation in agricultural companies: support of flexible employment forms, employee productivity and the use of specialists. The right working time organisation of all age groups supports the cooperation of all employees and ensures knowledge continuity.

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“…In the future, indicators of sustainability need to be developed to measure economic performance as profitability, productivity, and social as well. Knowledge can be considered as one of the elements of the social dimension of sustainability (Bjerke 2016). The impact of knowledge can be identified by involving quantitative measures of knowledge (human capital) into analysis of productivity.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Dynamics in the Agricultural Sectors of the Baltic States: the Effects of the Common Agricultural Policy and Challenges for the Future

Šapolaitė¹,

Veveris²,

Volkov³

et al. 2019

Montenegrin Journal of Economics

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Sustainable agriculture is the basis for long-term economic growth ensuring employment for the rural population. The aim of this research is to assess the dynamics in agricultural output, investments, direct payments and energy use in Estonia, Latvia and Lithuania under the Common Agricultural Policy (CAP) during 2008-2017. The method of research is the evaluation of production factors generated by agriculture and related activities carried out by the model of the EAA system. The performance of the agricultural holdings is measured using economic indicators: output of the agricultural 'industry', gross fixed capital formation (GFCF), direct payments, return on capital, total labour force input, average farm income. We discuss the trends in absolute and relative indicators relates to different aspects of the sustainable agricultural development to identify the key priorities of the CAP in the Baltic States which are new European Union Member States. The results indicate that in Estonia, Latvia and Lithuania EU support has affected investments in capital. The amount of GFCF over ten years annually grew an average by 0.1% in Estonia, by 8% in Latvia and by 17% in Lithuania which has led to increase productivity on farms, positively influenced growth on output agriculture and income as well. During the period 2008-2017 marked growth in the agricultural output levels and direct payments on average annually by more than 4% and 5-6%, respectively. These induced higher capital investments which require reasonable revision of the CAP measures in order to avoid overinvestment and address changes in the global agricultural markets. JEL classification:Q10, E22, E24, H71

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Knowledge in agriculture: a micro data assessment of the role of internal and external knowledge in farm productivity in Sweden

Cited by 4 publications

References 44 publications

Social learning in smallholder agriculture: the struggle against systemic inequalities

Social learning in smallholder agriculture: the struggle against systemic inequalities

Working time organisation of senior workers in agricultural companies with a focus on age management

Dynamics in the Agricultural Sectors of the Baltic States: the Effects of the Common Agricultural Policy and Challenges for the Future

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