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National Interests: Priorities and Security
 

Knowledge spillovers as a factor of innovative development and the effectiveness of agriculture

Vol. 16, Iss. 7, JULY 2020

Received: 7 May 2020

Received in revised form: 23 May 2020

Accepted: 8 June 2020

Available online: 16 July 2020

Subject Heading: FOOD SECURITY

JEL Classification: Q10, Q16, Q55

Pages: 1278–1296

https://doi.org/10.24891/ni.16.7.1278

Nosonov A.M. National Research Mordovia State University (MRSU), Saransk, Republic of Mordovia, Russian Federation
artno@mail.ru

https://orcid.org/0000-0003-4719-0166

Subject. The article discusses how the diffusion of innovation, as a factor of the innovative growth in agriculture, influenced the effectiveness of agricultural production as a result of the spatial spillover of agricultural knowledge.
Objectives. I identify and study spatial patterns of knowledge spillovers in agriculture as a factor of the innovative development and food security of the country.
Methods. The study involves the bibliometric analysis and geoinformation modeling.
Results. The study is the first to analyze how knowledge spillovers in agriculture may influence the effectiveness of agricultural production. I show where agricultural patents are localized geographically, and indicate the main regions of their citations. I sorted out types of the regions by innovative function, which enabled me to pinpoint three types of regions, such as creative, creative recipients and recipients. Referring to the three types, I traced the difference in the effectiveness of agriculture.
Conclusions and Relevance. In agriculture, knowledge spillovers cause the diffusion of innovation in a hierarchical and network manner. The outcome is indicative of spatial patterns of patent activities and agricultural knowledge spillovers influencing the innovative development and effectiveness of agriculture, which is an important factor of agricultural production growth and food security of the country. The findings can be used to outline regional programs for the socio-economic development to substantiate what innovation may be implemented in agriculture.

Keywords: knowledge spillover, geoinformation modeling, agriculture, innovation diffusion

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