Comparative analysis of climate change impact on Italian agriculture: a Ricardian regression analysis

Abstract This study assesses the impact of climate change on Italian agriculture using the Ricardian approach. Through a comparative analysis of farm-level data from 2008 to 2010 and 2018–2020, we evaluate the effects of temperature and precipitation on farmland values. Although national-level marginal effects appear visually stable across the two periods, statistical tests reveal significant differences for certain seasonal precipitation effects, confirming the temporal instability of Ricardian estimates. Seasonal and regional heterogeneity remain substantial, particularly for precipitation. Future climate projections suggest potential land value losses ranging from − 6 to − 39% by 2100, depending on emission scenarios. These findings highlight the need for regularly updated impact assessments and region-specific adaptation strategies. The results are consistent with the possibility that agricultural climate sensitivity evolves over time, potentially reflecting changing environmental, institutional, or behavioral conditions.

Authors

Institutions

Publication Details

Journal
Agricultural and Food Economics
Published
2025-10-15
DOI
https://doi.org/10.1186/s40100-025-00404-3
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative analysis of climate change impact on Italian agriculture: a Ricardian regression analysis

Charlotte Fabri, Steven Van Passel, Michele Moretti, Oybek Norboev
Agricultural and Food Economics
Climate change impacts on agriculture
article

Comparative analysis of climate change impact on Italian agriculture: a Ricardian regression analysis

Charlotte Fabri, Steven Van Passel, Michele Moretti, Oybek Norboev
article en

Abstract

Abstract This study assesses the impact of climate change on Italian agriculture using the Ricardian approach. Through a comparative analysis of farm-level data from 2008 to 2010 and 2018–2020, we evaluate the effects of temperature and precipitation on farmland values. Although national-level marginal effects appear visually stable across the two periods, statistical tests reveal significant differences for certain seasonal precipitation effects, confirming the temporal instability of Ricardian estimates. Seasonal and regional heterogeneity remain substantial, particularly for precipitation. Future climate projections suggest potential land value losses ranging from − 6 to − 39% by 2100, depending on emission scenarios. These findings highlight the need for regularly updated impact assessments and region-specific adaptation strategies. The results are consistent with the possibility that agricultural climate sensitivity evolves over time, potentially reflecting changing environmental, institutional, or behavioral conditions.

Agricultural and Food EconomicsVol. 13(1)
University of Pisa (IT), University of Antwerp (BE)
Università di Pisa
Openalex Percentile: Top 77%
Climate change impacts on agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Comparative analysis of climate change impact on Italian agriculture: a Ricardian regression analysis — Charlotte Fabri, Steven Van Passel, et al. · Agricultural and Food Economics (2025) | TGRS Research Map | TGRS