Assessing Economic Resilience: the case of Alpine dairy farms in Northern Italy
Altro Prodotto di Ricerca
Data di Pubblicazione:
2023
Citazione:
Assessing Economic Resilience: the case of Alpine dairy farms in Northern Italy / B. Damiani, S. Testa, S. Corsi, S. Severini, C. Attilio. ((Intervento presentato al 49. convegno Incontro annuale di Studi Ce.S.E.T. “Il ruolo degli indicatori socio-economico-ambientali nelle politiche e nelle scelte degli investimenti pubblici e privati. Minimizzare gli impatti e massimizzare i benefici" tenutosi a Padova : 30 novembre -1 dicembre nel 2023.
Abstract:
Mountain farms face significant challenges, primarily stemming from their limited capacity to expand
their herds and capitalize on economies of scale (MacDonald et al. 2000). Additionally, the demanding
workload and elevated production costs, attributed to the steep terrain and high altitudes, further
compound their difficulties (Lips 2014). Consequently, their economic circumstances often worse
compared to those of dairy farms in lowland areas (EC 2008), compelling mountain farmers to make
difficult choices between abandoning or intensifying milk production (MacDonald et al. 2000).
Therefore, these unique requirements necessitate a comprehensive study on the economic resilience of
farms situated in mountainous regions.
The primary objective of this study investigates the economic resilience of Northern Italian dairy farms,
through the analysis of financial ratios assessing the current economic conditions. Thus, this research
aims to assess the significance and relevance of financial ratios in determining the profitability, financial
stability, and operational efficiency of enterprises. The study endeavors to explore how the analysis of
financial ratios can empower dairy farmers to improve their financial management skills in the context
of mountain regions with greater efficiency. For the purpose of assessing the financial sustainability, a
set of financial economic indicators are calculated.
This research adopts secondary quantitative data gathered in the dataset RICA and limited to dairy firms
in Nothern Italy. The target group comprises 1.149 dairy farms in Lombardy, Piedmont and Veneto
regions of Italy. The dataset used to perform this analysis, "Rilevazione sulle Istituzioni e sulle Comunità
Agricole," is a comprehensive agricultural census database maintained by Italy's National Institute of
Statistics (Istat). It provides detailed information on farm characteristics, land use, livestock, and socioeconomic
aspects, serving as a critical resource for agricultural analysis and policymaking in Italy. We
compare three measures of farm financial weighted performance-profitability, solvency and liquidity
during the period 2015-2021. The ratio analysis is an important technique for analyzing financial
statements and trends of business growth and can help in predicting the management performance to
meet expected targets. Therefore, financial ratios are used as a tool at formulating a diagnosis relative to
the situation of the financial performance of the companies in the subset. The economic assessment will
involve calculating key financial indicators such as Return on Investment (ROI) and Break-Even
Analysis. These metrics will be used to measure the economic performance and stability of mountain
dairy farms. The research will also incorporate a review of existing literature on Alpine dairy farming,
economic sustainability, and related subject to offer a comprehensive recommendations and insights that
can contribute to the enhanced economic sustainability of Alpine dairy farms.
In conclusion, this study aims to provide a comprehensive evaluation of the economic resiliency and
sustainability of Alpine dairy farms in Northern Italy, revealing challenges they face and offering insights
to ensure their continued viability in the face of evolving economic and environmental circumstances.
The findings of this research will be valuable for farmers, policymakers, and stakeholders concerned
with the future of Alpine dairy farming in the region.
Tipologia IRIS:
14 - Intervento a convegno non pubblicato
Elenco autori:
B. Damiani, S. Testa, S. Corsi, S. Severini, C. Attilio
Link alla scheda completa: