Title: How digitalisation affects agricultural progress in Azerbaijan: evidence from panel data approach

Authors: Mirvari Kh. Gazanfarli

Addresses: UNEC Business School (MBA), Azerbaijan State University of Economics (UNEC), 6 Istiglaliyyat, Baku, Azerbaijan

Abstract: This study focuses on measuring the impacts of digital transformation on agricultural productivity in Azerbaijan. To realise the set goal, ICT characteristic indicators, including the infrastructural and human provision of ICT in agricultural enterprises, were identified, and 14 economic regions were investigated based on these factors in Azerbaijan within 2019-2021. Due to data structure, three static panel data models (POLS, REM, and FEM) were built for designing this process. Diagnostic tests analysis proved that the random effect model characterises these effects much more than others. The estimations and simulations concluded that the number of employees who used the internet in agricultural enterprises is associated negatively with the general product of agriculture in Azerbaijan. However, web page usage, software development, and the expenses of ICT infrastructure in the enterprises help to increase the productivity of the agricultural field of Azerbaijan's economy.

Keywords: agricultural enterprises; digital agriculture; economic regions; measurement indicators; diagnostic analysis; panel data analysis.

DOI: 10.1504/IJSAMI.2025.143122

International Journal of Sustainable Agricultural Management and Informatics, 2025 Vol.11 No.1, pp.97 - 110

Received: 07 Oct 2023
Accepted: 08 Jan 2024
Published online: 03 Dec 2024 *

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