Are small farms sustainable and technologically smart? : evidence from Poland, Romania, and Lithuania
Sebastian Stępień, Katarzyna Smędzik-Ambroży, Jan Polcyn, Aleksy Kwiliński and Ionut Maican
Sustainable development of farms is determined by many factors and, in recent years, significance of modern technologies and artificial intelligence (AI) has been pointed out, especially in terms of beneficial effects on economic performance and natural resources. Therefore, there is a need to answer the question about the application of AI technologies in small-scale farms, especially those with a relatively high level of sustainability. In order to obtain the information, a survey in Poland, Romania and Lithuania was carried out. Among the respondents, the 20 most sustainable farms in each country were selected using the CRITIC-TOPSIS method. Next, in-depth interviews were conducted to explore attitudes, behaviour and knowledge of AI.. The results show that small-scale farms in selected countries do not apply artificial intelligence. Although owners recognise and appreciate the benefits of AI, they are not convinced to implement this technology in their own business, they are not completely uncritical about using AI tools in the practice. The main obstacles are: low level of knowledge, misconception of the price of innovation or lack of capital for buying more advanced technology, low interest in implementing innovative solutions due the small scale of production or habituation to traditional production methods.
Year of publication: |
2023
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Authors: | Stępień, Sebastian ; Smędzik-Ambroży, Katarzyna ; Polcyn, Jan ; Kwiliński, Aleksy ; Maican, Ionut |
Published in: |
Central European economic journal. - Warsaw : Sciendo, ISSN 2543-6821, ZDB-ID 2977690-9. - Vol. 10.2023, 57, p. 116-132
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Subject: | small-scale farms | technology | artificial intelligence | sustainable development | interview research | farmers opinions | Polen | Poland | Kleinbauern | Smallholders | Rumänien | Romania | Nachhaltige Entwicklung | Sustainable development | Litauen | Lithuania | Agrartechnik | Agricultural technology | Künstliche Intelligenz | Artificial intelligence |
Saved in:
freely available
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.2478/ceej-2023-0007 [DOI] |
Classification: | O33 - Technological Change: Choices and Consequences; Diffusion Processes ; Q01 - Sustainable Development ; Q12 - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets ; Q16 - R&D; Agricultural Technology; Agricultural Extension Services ; Q55 - Technological Innovation |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014444907