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A well-developed financial system plays an important role in financing individual sectors in the country. In this paper, we analyse credit development in the agricultural sector in the Slovak Republic from various perspectives. We examine the relationship between the agricultural sector's characteristics and the volume of funding at the regional level. The paper's methodology is based on a k-means algorithm for clustering the Slovak regions with four criteria. Then we examine the relationship between financial development and agricultural growth by employing the Cobb-Douglas production function. This study uses annual data covering the period from 2008 to 2019. The results reveal that financial development has a significant and positive effect on agricultural production and agricultural growth. [ABSTRACT FROM AUTHOR]

This paper explores farmers' perceptions of climate change and their preferred adaptive and mitigatory strategies within Slovakia's Nitra region, aiming to devise recommendations for climate change-oriented agricultural policies. Our methodology incorporates an analysis of perspectives gathered from a regional survey using the Analytical Hierarchy Process (AHP) and SuperDecisions software, complemented by a risk-attitude assessment using the modified Multiple Price Lists (MPL) method. A subsequent heterogeneity analysis correlates these preferences with respondents' socio-economic status and risk attitudes. Our findings underscore the use of improved, resilient seeds as a favored adaptation measure and reveal a correlation between farmers' socio-economic attributes and their climate change strategy preferences. Based on this, we propose inclusive, micro-level agricultural policies that prioritize the unique climatic needs of the Nitra region and strongly consider the priority viewpoints of farmers within this region, aiming to promote sustainable agriculture under changing climatic conditions. [ABSTRACT FROM AUTHOR]

As a result of the explosive growth of scientific knowledge and the rapid development of ICT, the world economy is undergoing crucial global changes, which are the most significant since the industrial revolution. Digitization represents the most important element of the fourth industrial revolution, enabling the connection of technology and people. The digital economy is related to the rapid onset and penetration of information and communication technologies into all areas of human activity, which also requires new perspectives on the factors affecting the development and success of the economy. We digitize information and data, digitize the processes and systems that make up the functioning of the company, and digitally transform the company and its strategy. The main task of article is to determine the digital economy in the context of digital transformation and their impact on the electronification of accounting processes in the Slovak Republic. The article defines the progress and level of development of Europe's digital competitiveness in individual EU member states using the Digital Economy and Society Index (DESI). The position of Slovakia and the EU is compared for the period from 2018 to 2022. Slovakia needs to create conditions for the gradual digital transformation of all sectors of the economy. Digitization is also coming to the accounting. The article also describes how the approved amendment to the Act on Accounting as of January 1, 2022 creates space for streamlining the processing and archiving of accounting records. The current change in the amendment to the Act on Accounting thus offers completely new opportunities for working with corporate accounting in relation to internal processes in the company, but also in relation to financial administration or tax authorities. All entities, this also applies to agricultural entities keeping the double entry accounting, are obliged to follow the Act No. 431/2002 Coll. on Accounting as amended. [ABSTRACT FROM AUTHOR]

Optimization of production processes are required to provide companies with a competitive advantage. In the production industry this optimization is already under control and optimization of complex end-optimal models has been proposed. Using these model processes in agricultural production is inappropriate because they calculate exactly a process without the influence of random variables and factors. At the present time is usual to develop specific processes operating under ideal conditions. Their disadvantage is that real data from them vary considerably. Therefore, there is a need to develop simple methods and tools which can optimize these processes. [ABSTRACT FROM AUTHOR]