Issue |
E3S Web of Conf.
Volume 537, 2024
International Scientific and Practical Conference “Sustainable Development of the Environment and Agriculture: Green and Environmental Technologies” (SDEA 2024)
|
|
---|---|---|
Article Number | 02004 | |
Number of page(s) | 6 | |
Section | Socio-Economic, Theoretical and Methodological Aspects of Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202453702004 | |
Published online | 13 June 2024 |
Digitalisation and sustainable employment as a factor of agricultural development
Ural State University of Economics, Ekaterinburg, Russia
* Corresponding author: tonkihnv@usue.ru
In recent years, the attention of researchers has focused on sustainable development issues in labour and employment. Of particular concern are the negative trends of unsustainable employment in the agricultural sector. The study aims to conduct a comparative assessment of the sustainability of digital and non-digital forms of employment in agriculture. The empirical basis was a nationwide sociological survey of citizens (N = 3,890) conducted in June – September 2023. The results revealed a difference in employment conditions between two segments of agricultural workers: ‘digital’ and ‘non-digital’. Those working in the digital segment are more likely to be satisfied with their working conditions, have higher labour income and more flexible working hours. The results obtained allow us to formulate the hypothesis that digital employment is more sustainable than non-digital employment. It is concluded that it is viable to implement a set of measures aimed at increasing the sustainability and attractiveness of work in agriculture through the transformation of working conditions, the system of professional training, attraction and retention of personnel. Digital workers can act as drivers of current and future transformations in agricultural industry, so it is essential to promote a systematic increase in the sustainability of their employment.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.