Socio-Economic Determinants of Human Negligence in Wildfire Incidence: A Case Study from Pakistan's Peri-Urban and Rural Areas
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A101299" target="_blank" >RIV/60460709:41110/24:101299 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2571-6255/7/11/377" target="_blank" >https://www.mdpi.com/2571-6255/7/11/377</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/fire7110377" target="_blank" >10.3390/fire7110377</a>
Alternative languages
Result language
angličtina
Original language name
Socio-Economic Determinants of Human Negligence in Wildfire Incidence: A Case Study from Pakistan's Peri-Urban and Rural Areas
Original language description
This study aims to examine the socio-economic determinants of human negligence in wildfire occurrences across Pakistan's peri-urban and rural regions. Increasingly frequent and severe wildfires, driven by climate change, socio-economic conditions, and human negligence, have become a pressing issue. Rising global temperatures and changing precipitation patterns have created drier conditions, while unsafe human activities-such as improper disposal of flammable materials and unsafe agricultural burning-further escalate wildfire risks. These issues are particularly pronounced in Pakistan, where high poverty levels, limited resources, and low education contribute to dangerous behaviors. Weak governance and poor policy enforcement further exacerbate the problem. Data were collected using a cross-sectional survey from 500 participants across five regions. Multiple regression analysis revealed that higher poverty levels significantly increased negligence, whereas higher education and improved access to resources reduced it. Structural Equation Modeling (SEM) highlighted the critical roles of local governance, policy enforcement, and community engagement in mitigating wildfires. Correlation analysis indicated an inverse relationship between wildfire risk awareness and negligent behavior. Chi-square tests demonstrated a strong connection between wildfires and migration patterns, underscoring the socio-economic instability caused by these events. Finally, linear regression showed that wildfires significantly impact regional climate indicators, emphasizing the need for integrated management strategies. This study offers valuable insights into the socio-economic factors driving wildfires in Pakistan and provides guidance for developing targeted mitigation strategies.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Fire-Switzerland
ISSN
2571-6255
e-ISSN
2571-6255
Volume of the periodical
7
Issue of the periodical within the volume
11
Country of publishing house
CH - SWITZERLAND
Number of pages
26
Pages from-to
1-26
UT code for WoS article
001365009500001
EID of the result in the Scopus database
2-s2.0-85210428386