S. Stępień, K. Smędzik-Ambroży, J. Polcyn, A. Kwiliński, Ionut Maican
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Are small farms sustainable and technologically smart? Evidence from Poland, Romania, and Lithuania
Abstract 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.
期刊介绍:
The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.