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Study of Disaster Susceptibility and Economic Vulnerability to Strengthen Disaster Risk Reduction Instruments in Batu City, Indonesia

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  • Firre An Suprapto

    (Department of Regional and Rural Development Planning, IPB University, Bogor 16680, Indonesia)

  • Bambang Juanda

    (Department of Economics, IPB University, Bogor 16680, Indonesia)

  • Ernan Rustiadi

    (Department of Regional and Rural Development Planning, IPB University, Bogor 16680, Indonesia)

  • Khursatul Munibah

    (Department of Regional and Rural Development Planning, IPB University, Bogor 16680, Indonesia)

Abstract

Batu City in East Java has a thriving tourist area, which is not exempt from disaster susceptibility and economic vulnerability. These weaknesses have led to the strengthening of the disaster resilience system becoming a priority in terms of the Batu government’s disaster risk reduction. The main objective of this study is to improve disaster risk management through the reinforcement of the disaster risk reduction instrument, which can improve the alertness and the mitigation capability of DRR. This research analyzed the susceptibility levels of five disasters—flood, landslide, drought, land fire, and COVID-19—using a quantitative method with panel data and a survey questionnaire. The influence variable was disaster susceptibility, which quantified economic vulnerability through ArcGIS and ILWIS analysis to generate the disaster susceptibility rate. Economic vulnerability was analyzed using static panel data in STATA/R, which generated the economic vulnerability index. The results of this research indicate that there are five villages in the high level of vulnerability category, three villages in the moderate level of vulnerability category, and another sixteen villages/urban villages in the low level of vulnerability category. Furthermore, static panel analysis found that local economic vulnerability in Batu is significantly influenced by three of the five disasters discussed in this research.

Suggested Citation

  • Firre An Suprapto & Bambang Juanda & Ernan Rustiadi & Khursatul Munibah, 2022. "Study of Disaster Susceptibility and Economic Vulnerability to Strengthen Disaster Risk Reduction Instruments in Batu City, Indonesia," Land, MDPI, vol. 11(11), pages 1-23, November.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:11:p:2041-:d:972480
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    1. Dimitra Angra & Kalliopi Sapountzaki, 2022. "Climate Change Affecting Forest Fire and Flood Risk—Facts, Predictions, and Perceptions in Central and South Greece," Sustainability, MDPI, vol. 14(20), pages 1-28, October.
    2. repec:zbw:iamodp:327296 is not listed on IDEAS
    3. Glyn Wittwer & Marnie Griffith, 2011. "Modelling drought and recovery in the southern Murray‐Darling basin," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(3), pages 342-359, July.
    4. Xinshen Diao & Ariel Dinar & Terry Roe & Yacov Tsur, 2008. "A general equilibrium analysis of conjunctive ground and surface water use with an application to Morocco," Agricultural Economics, International Association of Agricultural Economists, vol. 38(2), pages 117-135, March.
    5. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    6. Djanibekov, Nodir & Herzfeld, Thomas, 2022. "The impact of COVID-19 on agrifood systems and rural areas in Central Asia and Caucasus countries: Final report of a study commissioned by FAO," IAMO Discussion Papers 327296, Institute of Agricultural Development in Transition Economies (IAMO).
    7. Mertens, Kewan & Jacobs, Liesbet & Maes, Jan & Kabaseke, Clovis & Maertens, Miet & Poesen, Jean & Kervyn, Matthieu & Vranken, Liesbet, 2015. "The impact of landslides on household income in tropical regions: a case study from the Rwenzori Mountains in Uganda," Working Papers 229008, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    8. Pauw, Karl & Thurlow, James & Bachu, Murthy & Van Seventer, Dirk Ernst, 2011. "The economic costs of extreme weather events: a hydrometeorological CGE analysis for Malawi," Environment and Development Economics, Cambridge University Press, vol. 16(2), pages 177-198, April.
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