DOI QR코드

DOI QR Code

Does Natural Disasters Have an Impact on Poverty in East Java, Indonesia?

  • SANTOSO, Dwi Budi (Department of Economics, Faculty of Economics and Business, Brawijaya University) ;
  • AULIA, Dynda Fadhlillah (Department of Economics, Faculty of Economics and Business, Brawijaya University)
  • Received : 2022.10.10
  • Accepted : 2023.01.15
  • Published : 2023.01.30

Abstract

There is a strong association between poverty levels and the probability of natural disasters. East Java, however, exhibits a distinct pattern. While the rate of poverty is declining, natural disasters are becoming more severe. Considering that East Java is an area with a high risk of natural disasters and a high poverty rate, this study aims to estimate the effect of environmental preservation and the magnitude of the impact of disasters as measured by the Disaster Risk Index (IRBI) on poverty. The 3SLS model is used on secondary data from 38 districts/cities from 2015 to 2021 as an analytical database. Based on the estimation results, there are 3 findings in this study: (i) the role of government, population development, and economic activity have a strong influence on nature conservation; (ii) nature conservation has a strong influence on disaster risk; and (iii) the disaster risk index has a strong effect on poverty. As a result, areas with a high level of disaster risk have a slower rate of poverty reduction. The role of this research is to show the need for the government's role in improving the quality of natural disaster mitigation anticipation, economic activity, and the role of the population in a sustainable manner.

Keywords

Acknowledgement

[1] The author would like to thank the supervisor who has provided input and direction for the development of this research. I also told colleagues who took the time to discuss who volunteered to help me in finding solutions to problems. [2] The authors declare that they are not aware of any competing financial interests or personal relationships that may have influenced the work described in this document.

References

  1. Ahmad, M. H., Azhar, U., Wasti, S. A., Inam, Z., & Ghani, N. (2005). Interaction between population and environmental degradation. Pakistan Development Review, 44(4), 1135-1150. https://doi.org/10.30541/v44i4IIpp.1135-1150
  2. Anderson, L. M., Scrimshaw, S. C., Fullilove, M. T., & Fielding, J. E. (2003). Task force on community preventive services. American Journal of Preventive Medicine, 24(3), 12-20. https://doi.org/10.1016/S0749-3797(02)00652-9
  3. Arouri, M., Nguyen, C., & Youssef, A. B. (2015). Natural disasters, household welfare, and resilience: Evidence from rural Vietnam. World Development, 70, 59-77. https://doi.org/10.1016/j.worlddev.2014.12.017
  4. Chen, J., Leung, W. S., & Goergen, M. (2017). The impact of board gender composition on dividend payouts. Journal of Corporate Finance, 43, 86-105. https://doi.org/10.1016/j.jcorpfin.2017.01.001
  5. Cutter, S. L., Boruff, B. J., & Shirley, W. L. (2003). Social vulnerability to environmental hazards. Social Science Quarterly, 84(2), 242-261. https://doi.org/10.1111/1540-6237.8402002
  6. Damayanti, R., & Chamid, M. S. (2016). Analysis of the pattern of the relationship between GRDP and environmental pollution factors in Indonesia uses a geographically weighted regression (GWR) approach. Journal of Science and Arts, 15(1), 7-12.
  7. Dartanto, T., Moeis, F. R., & Otsubo, S. (2020). Intragenerational economic mobility in Indonesia: A transition from poverty to the middle class during 1993-2014. Bulletin of Indonesian Economic Studies, 56(2), 193-224. https://doi.org/10.1080/00074918.2019.1657795
  8. Dartanto, T., & Nurkholis. (2010). Income shocks and consumption smoothing strategies: An empirical investigation of maize farmer's behavior in Kebumen, Central Java, Indonesia. Modern Economy, 1(3), 149-155. https://doi.org/10.4236/me.2010.13017
  9. Dartanto, T., & Nurkholis, M. (2013). The determinants of poverty dynamics in Indonesia: Evidence from panel data. Bulletin of Indonesian Economic Studies, 49(1), 61-84. https://doi.org/10.1080/00074918.2013.772939
  10. Das, A., & Paul, S. K. (2014). CO2 emissions from household consumption in India between 1993-94 and 2006-07: A decomposition analysis. Energy Economics, 41, 90-105. https://doi.org/10.1016/j.eneco.2013.10.019
  11. Dercon, S. (2008). Fate and fear: Risk and its consequences in Africa. Journal of African Economies, 17(2), 97-127. https://doi.org/10.1093/jae/ejn019
  12. Dewi, L. P. R. K., & Dartanto, T. (2019). Natural disasters and girls' vulnerability: Is child marriage a coping strategy for economic shocks in Indonesia? Vulnerable Children and Youth Studies, 14(1), 24-35. https://doi.org/10.1080/17450128.2018.1546025
  13. Eratas, F., & Uysal, D. (2014). Evaluation of the Environmental Kuznets Curve Approach in BRICT countries. Faculty of Economics Journal, 64, 1-25.
  14. Fan, S., Pham, L. H., & Trinh, Q. L. (2004) Government spending and poverty reduction in Vietnam. Washington DC: World Bank.
  15. Gujarati, D. N. (2004). Basic econometrics (4th ed). NY: McGrawHill, Inc.
  16. Gul, S., Zou, X., Hassan, C. H., Azam, M., & Zaman, K. (2015). Causal nexus between energy consumption and carbon dioxide emission for Malaysia using maximum entropy bootstrap approach. Environmental Science and Pollution Research International, 22(24), 19773-19785. https://doi.org/10.1007/s11356-015-5185-0
  17. ISDR. (2004). Living with risk - A global review of disaster reduction initiatives. https://www.undrr.org/publication/livingrisk-global-review-disaster-reduction-initiatives
  18. Karim, A., & Noy, I. (2016). Poverty and natural disasters - A qualitative survey of the empirical literature. Singapore Economic Review, 61(1). https://doi.org/10.1142/S0217590816400014
  19. Kurosaki, T., Khan, H., Shah, M. K., & Tahir, M. (2012). Household-level recovery after floods in a developing country: Further evidence from Khyber pakhtunkhwa, Pakistan. Tokyo: Institute of Economic Research, Hitotsubashi University.
  20. Lee, Dalbyul. (2018). The Impact Of Natural Disasters On Neighborhood Poverty Rate: A Neighborhood Change Perspective. Journal Of Planning Education And Research. 40(4). https://doi.org/10.1177/0739456X18769144
  21. Lee, S., & Oh, D. W. (2015). Economic growth and the environment in China: Empirical evidence using prefecture-level data. China Economic Review, 36, 73-85. https://doi.org/10.1016/j.chieco.2015.08.009
  22. Lindell, M. K., & Perry, R. W. (2000). Household adjustment to earthquake hazard. Environment and Behavior, 32(4), 461-501. https://doi.org/10.1177/00139160021972621
  23. Lopez-Calva, L. F., & Ortiz-Juarez, E. (2009). Evidence and policy lessons on the links between disaster risk and poverty in Latin America (MPRA Paper No.18342). Munich: MPRA. https://mpra.ub.uni-muenchen.de/18342/1/
  24. McEntire, J., & Boateng, A. (2012). Industry challenges to best practice risk communication. Journal of Food Science, 77(4), 111-117. https://doi.org/10.1111/j.1750-3841.2012.02630.x
  25. Ong, S. M., & Sek, S. K. (2013). Interactions between economic growth and environmental quality: Panel and non-panel analyses. Applied Mathematical Sciences, 7, 687-700. https://doi.org/10.12988/ams.2013.13062
  26. Putra, H. S. (2017). Natural disaster and poverty in Indonesia. Jurnal Transformasi Administrasi, 7(2), 444-452.
  27. Rose, A., & White, M. (2004). Economic principles, issues, and research priorities in hazard loss estimation. NJ: Sage.
  28. Rodrigues-Oreggia, E., Fuente, A., Torre, R., & Moreno, H. A. (2013). The impact of natural disasters on human development and poverty at the municipal level in Mexico. Journal of Development Studies, 49(3), 442-455. https://doi.org/10.1080/00220388.2012.700398
  29. Sarac, S., & Yaglikara, A. (2017). Environmental Kuznets curve: The evidence from BSEC countries. EGE Academic Review, 17(2), 255-264. https://doi.org/10.21121/eab.2017225203
  30. Sarris, A. (2001). The role of agriculture in economic development and poverty reduction (Rural Development Strategy Background Paper No. 2). Washington DC: World Bank. https://documents1.worldbank.org/curated/en/649461468766828655/pdf/multi0page.pdf
  31. Schipper, L., & Pelling, M. (2006). Disaster risk, climate change, and international development: Scope for, and challenges to integration. Disasters, 30(1), 19-38. https://doi.org/10.1111/j.1467-9523.2006.00304.xRu
  32. Shaddady, A., & Alnori, F. (2020). Do owner structure. do ownership structure, political connections, and executive compensation have multifaceted effects on firm performance? An alternative approach. International Journal of Economics and Finance, 12(10), 22. https://doi.org/10.5539/ijef.v12n10p22
  33. Syafa'at, N. (1996). Simultaneous equation parameter estimation with OLS, 2SLS, LIML, and 3SLS estimation methods. Indonesian Economy and Finance, 44(4), 635.
  34. Thompson, S. B. (2011). Simple formulas for standard errors that cluster by both firm and time. Journal of Financial Economics, 99(1), 1-10. https://doi.org/10.1016/j.jfineco.2010.08.016
  35. Winsemius, H. C., Jongman, B., Veldkamp, T. I. E., Hallegatte, S., Bangalore, M., & Ward, P. J. (2015). Disaster risk, climate change, and poverty: Assessing the global exposure of poor people to floods and droughts. Environment and Development Economics, 23(3), 328-348. https://doi.org/10.1017/S1355770X17000444
  36. Van den Berg, M. (2010). Household income strategies and natural disasters: Dynamic livelihoods in rural Nicaragua. Ecological Economics, 69(3), 592-602. https://doi.org/10.1016/j.ecolecon.2009.09.006
  37. Vuko, T., & Cular, M. (2014). Finding determinants of audit delay by pooled OLS regression analysis. Croatian Operational Research Review, 5(1), 81-91. https://doi.org/10.17535/crorr.2014.0030
  38. Yoon, S. S., Miller, G., & Jiraporn, P. (2006). Earnings management vehicles for Korean firms. Journal of International Financial Management and Accounting, 17(2), 85-109. https://doi.org/10.1111/j.1467-646X.2006.00122.x
  39. Zuhri, M. S. (2014). The influence of demographic factors on air emissions in Indonesia. Journal of Economics and Development, 14(2), 13-37. https://doi.org/10.1007/978-3-540-24787-6_2