TY - JOUR
T1 - Assessing the regime-switching role of risk mitigation measures on agricultural vulnerability
T2 - A threshold analysis
AU - Wen, Xiaojie
AU - Mennig, Philipp
AU - Sauer, Johannes
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2025/1
Y1 - 2025/1
N2 - Vulnerability to agrometeorological disasters threatens agricultural production and food security, which calls for urgent risk mitigation measures. Previous studies have widely focused on constructing composite indices of agricultural vulnerability and projecting agricultural losses under changing climate. Only a few authors have delved into the patterns of mitigation practices in reducing agricultural vulnerability and enhancing the functioning of agricultural systems. To fill this research gap, our study assesses the spatial-temporal characteristics of agricultural vulnerability with respect to meteorological disasters (including droughts, floods, hail, low temperatures, and frost) from 2000 to 2021 across 31 regions (including 22 provinces, 4 direct-administered municipalities, and 5 autonomous regions) in China. Identifying a dynamic trend of agricultural vulnerability and making use of a regime-switching framework, a Markov regime-switching model is employed to examine the changing regimes underlying the link between agricultural vulnerability and crop yields. More importantly, regime-switching roles of four different mitigation practices (i.e., irrigation, reservoir capacity, soil loss control, and drainage systems) in moderating agricultural vulnerability are evaluated using panel threshold regressions. Our results show that: 1) The link between agricultural vulnerability and crop yields differs across regions, and regime-switching phenomena behind this link can be detected. 2) Irrigation systems, water reservoirs, and soil loss control can be effective tools for mitigating agricultural vulnerability. 3) With the above three measures, detrimental impacts of agricultural vulnerability on agricultural production can be reduced significantly when certain thresholds are hit. 4) Non-linear relationships between mitigation measures and crop yields require authorities to pay considerable attention to determining the effective scales of mitigation measures. Overall, this paper shall contribute to understanding the moderating role of risk mitigation measures in alleviating agricultural vulnerability and increasing crop yields, thereby providing insights into designing strategies and policies for sustainable agricultural production.
AB - Vulnerability to agrometeorological disasters threatens agricultural production and food security, which calls for urgent risk mitigation measures. Previous studies have widely focused on constructing composite indices of agricultural vulnerability and projecting agricultural losses under changing climate. Only a few authors have delved into the patterns of mitigation practices in reducing agricultural vulnerability and enhancing the functioning of agricultural systems. To fill this research gap, our study assesses the spatial-temporal characteristics of agricultural vulnerability with respect to meteorological disasters (including droughts, floods, hail, low temperatures, and frost) from 2000 to 2021 across 31 regions (including 22 provinces, 4 direct-administered municipalities, and 5 autonomous regions) in China. Identifying a dynamic trend of agricultural vulnerability and making use of a regime-switching framework, a Markov regime-switching model is employed to examine the changing regimes underlying the link between agricultural vulnerability and crop yields. More importantly, regime-switching roles of four different mitigation practices (i.e., irrigation, reservoir capacity, soil loss control, and drainage systems) in moderating agricultural vulnerability are evaluated using panel threshold regressions. Our results show that: 1) The link between agricultural vulnerability and crop yields differs across regions, and regime-switching phenomena behind this link can be detected. 2) Irrigation systems, water reservoirs, and soil loss control can be effective tools for mitigating agricultural vulnerability. 3) With the above three measures, detrimental impacts of agricultural vulnerability on agricultural production can be reduced significantly when certain thresholds are hit. 4) Non-linear relationships between mitigation measures and crop yields require authorities to pay considerable attention to determining the effective scales of mitigation measures. Overall, this paper shall contribute to understanding the moderating role of risk mitigation measures in alleviating agricultural vulnerability and increasing crop yields, thereby providing insights into designing strategies and policies for sustainable agricultural production.
KW - Agricultural vulnerability
KW - Markov regime-switching model
KW - Mitigation measures
KW - Panel threshold regression
KW - Regime-switching framework
KW - Spatial-temporal heterogeneity
UR - http://www.scopus.com/inward/record.url?scp=85203016533&partnerID=8YFLogxK
U2 - 10.1016/j.ecolecon.2024.108360
DO - 10.1016/j.ecolecon.2024.108360
M3 - Article
AN - SCOPUS:85203016533
SN - 0921-8009
VL - 227
JO - Ecological Economics
JF - Ecological Economics
M1 - 108360
ER -