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Socio-Economic Determinants of Human Negligence in Wildfire Incidence: A Case Study from Pakistan's Peri-Urban and Rural Areas

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Socio-Economic Determinants of Human Negligence in Wildfire Incidence: A Case Study from Pakistan's Peri-Urban and Rural Areas

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    Socio-Economic Determinants of Human Negligence in Wildfire Incidence: A Case Study from Pakistan's Peri-Urban and Rural Areas

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    50202 - Applied Economics, Econometrics

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Fire-Switzerland

  • ISSN

    2571-6255

  • e-ISSN

    2571-6255

  • Svazek periodika

    7

  • Číslo periodika v rámci svazku

    11

  • Stát vydavatele periodika

    CH - Švýcarská konfederace

  • Počet stran výsledku

    26

  • Strana od-do

    1-26

  • Kód UT WoS článku

    001365009500001

  • EID výsledku v databázi Scopus

    2-s2.0-85210428386