TY - JOUR
T1 - The role of rurality in determining the economy-wide impacts of a natural disaster
AU - Bonfiglio, Andrea
AU - Coderoni, Silvia
AU - Esposti, Roberto
AU - Baldoni, Edoardo
PY - 2020
Y1 - 2020
N2 - Rural areas may be highly vulnerable to natural disasters because of their lower economic diversification and a higher incidence of sectors that may suffer from a larger impact produced by these adverse events. In addition because of their trade dependence, local effects can be transmitted to neighbouring regions more diffusely so amplifying total impacts. This paper aims to quantify the economy-wide impacts generated by the earthquake sequence that mostly hit a markedly rural area of Central Italy in 2016–2017. To this purpose, a non-linear programming model based on a multi-regional IO table with a mixed territorial scale is adopted. Results indicate that some negative effects are transmitted outside the seismic area and a few positive effects are also produced. Moreover, they confirm that rural areas are more vulnerable to disasters and that the effects of disasters in these areas are more likely to be transmitted to the neighbouring space.
AB - Rural areas may be highly vulnerable to natural disasters because of their lower economic diversification and a higher incidence of sectors that may suffer from a larger impact produced by these adverse events. In addition because of their trade dependence, local effects can be transmitted to neighbouring regions more diffusely so amplifying total impacts. This paper aims to quantify the economy-wide impacts generated by the earthquake sequence that mostly hit a markedly rural area of Central Italy in 2016–2017. To this purpose, a non-linear programming model based on a multi-regional IO table with a mixed territorial scale is adopted. Results indicate that some negative effects are transmitted outside the seismic area and a few positive effects are also produced. Moreover, they confirm that rural areas are more vulnerable to disasters and that the effects of disasters in these areas are more likely to be transmitted to the neighbouring space.
KW - Natural disasters,rural regions, vulnerability, constrained non-linear programming, multi-regional input–output tables
KW - Natural disasters,rural regions, vulnerability, constrained non-linear programming, multi-regional input–output tables
UR - http://hdl.handle.net/10807/160887
U2 - 10.1080/09535314.2020.1814206
DO - 10.1080/09535314.2020.1814206
M3 - Article
SN - 0953-5314
SP - 1
EP - 24
JO - Economic Systems Research
JF - Economic Systems Research
ER -