Farm size and digitalization: Quantitative approach
Open Access
- 1 January 2021
- journal article
- Published by Centre for Evaluation in Education and Science (CEON/CEES) in Western Balkan Journal of Agricultural Economics and Rural Development
- Vol. 3 (1), 67-83
- https://doi.org/10.5937/wbjae2101067d
Abstract
This paper takes into consideration the physical dimension impact of the quantitative description at the farm level over its economic performance. It is obvious that the dimension, if centred on different statistical intervals, generates different results, initiating the different types of potentiality that characterize the certain economic entity. The impact's capture was made through the registered data analysis, relevant for the enhancement of their quantitative characteristics. Dimensional phenomenon was studied considering the data from the National Institute of Statistics (INSSE) of Romania, as well as statistical and economic analysis methods, proving that the dimension, in its actual structure, on different types of farms, can influence in a positive way the production and financial results. It is a generally accepted fact that, the physical dimension could be seen as the production capacity of the farm. Economic dimension or farm size is also an expression of farms' profit or turnover. In this condition the size is linked to economic performance. Economic dimension is usually characterized by inverse relation. Factors that determine a peculiar level of performance are usually specific in line to internal farm environment, respecting the used crops intensity or management under the factors of production. Besides, level of digitalization represents another factor that have an important contribution to increase of farms' economic performances. Its influence represents the value generator at the farm level. So certain results derived from previously conducted survey related to farmers' awareness towards the digitalization or, its presence at farm level was also done.This publication has 7 references indexed in Scilit:
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