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Tropentag, September 14 - 16, 2022, Prague

"Can agroecological farming feed the world? Farmers' and academia's views."

Stochastic frontier models (SFM) for yield technical efficiency of soya bean production In Europe

Srijna Jha1, Ioanna Mouratiadou2, Sonoko Dorothea Bellingrath-Kimura2

1Humboldt-Universität zu Berlin, Agricultural Sciences, Germany
2Leibniz Centre for Agricultural Landscape Research (ZALF), Research Area 2 "Land Use and Governance", Germany


The production of soya beans contributes significantly and sustainably to environmental and nutritional goals within the European context. Although the production of soya beans has been observed to be increasing all through Europe in recent years, the overall production potential remains underutilised. This is mainly attributed to high yield variability and yield gaps in soya bean production. Both of which may be better addressed by increasing the production efficiency of soya bean in Europe. To do so, understanding factors that influence production and create inefficiencies is key. Amongst others, limitations in soya production often present as knowledge, pedoclimatic, structural, demographic and management characteristics. A single step Stochastic Frontier Model (SFM, frontier truncated-normal) is used to analyse farmer survey data collected from nine European countries. The research questions are - What is the level of technical production efficiency for soya bean in the survey study regions? What factors (determinants) significantly contribute to the technical production efficiency of soya bean? How? Does knowledge (or lack of) significantly contribute to the technical production inefficiency of soya bean? How? The results show the technical production efficiency of soya bean in the study region to be approximately 63%, indicating approximately 37% of technical inefficiency. This verifies that there is indeed a pathway for improvement of soya production in Europe. The analysis finds that - the climate zone, location of farm, farm specification, production orientation, source of income, age of farmer, using irrigation, innoculation, pest and disease management and utilising new technology significantly impact soya bean yield. On the other hand, farmers experience (or lack of) of agriculture and growing legumes, know-how, education and source of information result in soya bean production inefficiencies.

Keywords: Farmer knowledge, production efficiency, soya bean, Stochastic Frontier Model

Contact Address: Srijna Jha, Humboldt-Universität zu Berlin, Agricultural Sciences, Humboldt university of berlin, 10117 Berlin, Germany, e-mail: srijna@gmail.com

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