Feeding Simulation Model: Data Acquisition to Achieve Climate Neutrality Goals

Mairita ZaķeAndris LapānsAnda MežgaileOskars Java

DOI 10.7160/aol.2026.180310
No 3/2026, September
pp. 137-146

Zaķe, M., Lapāns, A., Mežgaile, A. and Java, O. (2026) "Feeding Simulation Model: Data Acquisition to Achieve Climate Neutrality Goals", AGRIS on-line Papers in Economics and Informatics, Vol. 18, No. 3, pp. 137-146. ISSN 1804-1930 DOI 10.7160/aol.2026.180310.

Abstract

In line with the European Union’s development plans, preserving a healthy environment for future generations is a key priority. Progress towards climate neutrality requires reliable, coherent, high-quality and interoperable data that capture historical trends and emerging societal dynamics while reflecting ecological, economic and technological systems. This paper addresses data acquisition and integration across five sectors: energy, agriculture, land use, land-use change and forestry, industry and waste management. The proposed framework supports Latvia’s national climate neutrality simulation model with harmonised data. The analysis reveals substantial differences in data accessibility, formats, update regularity, and sectoral methodologies. Critical datasets are often available only in unstructured formats, such as PDFs of infographics, limiting automation in data collection. The developed modular workflow and harmonisation system improve model reliability and support evidence-based long-term climate policy design at national and global levels.

Keywords

Data mapping, data acquisition, climate neutrality, data model, data exchange

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