INCOME SHOCK, ASSET DAMAGE, AND LOCAL MARKET PRICE RESPONSE ON POST-FLOOD HOUSEHOLD CONSUMPTION PATTERN CHANGE: A PLS-SEM STUDY OF COASTAL COMMUNITIES IN LANGSA CITY, INDONESIA

Authors

  • Rico Syahputra Faculty of Economics and Business, Universitas Samudra
  • Imam Gunanjar Faculty of Economics and Business, Universitas Samudra
  • Rahmat Maulidan Faculty of Economics and Business, Universitas Samudra
  • Muhammad Ridwan Verinanda Faculty of Economics and Business, Universitas Samudra

DOI:

https://doi.org/10.61677/count.v4i2.1065

Keywords:

Income shock, household consumption pattern, local market price response, post-flood recovery, PLS-SEM.

Abstract

Flood disasters routinely disrupt the income streams, productive assets, and local market conditions of coastal households, yet quantitative evidence on how these simultaneous shocks reshape household consumption remains scarce in the Indonesian context. Most existing studies are qualitative or descriptive and do not test the underlying behavioral mechanisms in an integrated model. This study examines the effect of income shock, productive asset damage, and post-disaster aid effectiveness on household consumption pattern change, both directly and through the mediating role of local market price response, among coastal households in Langsa City following a flood disaster. A survey of 158 household heads or housewives in five flood-affected sub-districts, selected through stratified random sampling by livelihood group, was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with 500 bootstrap subsamples. The measurement model demonstrated adequate convergent and discriminant validity, whereas model fit was marginal (SRMR = 0.089). Income shock had a significant positive effect on both local market price response and household consumption pattern change, whereas productive asset damage, aid effectiveness, and local market price response itself did not significantly predict consumption change, and no significant mediation was found. These findings indicate that income loss, rather than asset damage, aid distribution, or price movement, is the dominant driver of post-disaster consumption adjustment. The study concludes that market recovery and social protection policies in flood-prone coastal cities should prioritize rapid income restoration for affected households.

References

Agarwal, S., Ghosh, P., & Zheng, H. (2024). Consumption response to a natural disaster: Evidence of price and income shocks from Chennai flood. Energy Economics, 131, 107323. https://doi.org/10.1016/j.eneco.2024.107323

Barton, B., Zlatevska, N., & Oppewal, H. (2022). Scarcity tactics in marketing: A meta-analysis of product scarcity effects on consumer purchase intentions. Journal of Retailing, 98(4), 741–758. https://doi.org/10.1016/j.jretai.2022.06.003

Basyigit, B., Karimidastjerd, A., Cetinkaya, T., Zeynep Bakkal, L., Basdogan, H., Elmas, N., Azarabadi, N., Basdogan, S., & Toker, O. S. (2025). Post-disaster impacts on food security and nutritional demands of vulnerable groups. Environmental Research Communications, 7(9), 092004. https://doi.org/10.1088/2515-7620/ae0874

Batmanathan, N. M., Pereira, J. J., Shah, A. A., Muhamad, N., & Sian, L. C. (2025). Land Subsidence and Coastal Flood Impact Scenarios Based on Remote Sensing in Selangor, Malaysia. Journal of Marine Science and Engineering, 13(8), 1-24. https://doi.org/10.3390/jmse13081539

Bestari, A. P., & Noor, T. I. (2022). Perubahan Pola Konsumsi Rumah Tangga Saat COVID-19 (Studi Kasus di Kelurahan Drajat, Kota Cirebon, Jawa Barat). SEPA: Jurnal Sosial Ekonomi Pertanian Dan Agribisnis, 18(2), 214-224. https://doi.org/10.20961/sepa.v18i2.50531

Cappelli, F., Costantini, V., & Consoli, D. (2021). The trap of climate change-induced “natural” disasters and inequality. Global Environmental Change, 70, 1-13. https://doi.org/10.1016/j.gloenvcha.2021.102329

Cheng, L., Yu, Y., Wang, Y., & Zheng, L. (2023). Influences of mental accounting on consumption decisions: asymmetric effect of a scarcity mindset. Frontiers in Psychology, 14, 1-8. https://doi.org/10.3389/fpsyg.2023.1162916

Deryugina, T. (2022). Economic effects of natural disasters. IZA World of Labor. https://doi.org/10.15185/izawol.493

Fiorella, K. J., Bageant, E. R., Mojica, L., Obuya, J. A., Ochieng, J., Olela, P., Otuo, P. W., Onyango, H. O., Aura, C. M., & Okronipa, H. (2021). Small-scale fishing households facing COVID-19: The case of Lake Victoria, Kenya. Fisheries Research, 237, 1-7. https://doi.org/10.1016/j.fishres.2020.105856

Gupta, A. S., & Mukherjee, J. (2024). Exploring personal savings versus hedonic consumption in the new normal. International Journal of Retail & Distribution Management, 52(1), 107–124. https://doi.org/10.1108/IJRDM-07-2023-0422

Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 1-16. https://doi.org/10.1016/j.rmal.2022.100027

Hair, J. F. J., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (Eighth Edition). Cengage Learning.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Karki, J., Matthewman, S., & Grayman, J. H. (2022). From goods to goats: examining post-disaster livelihood recovery in the aftermath of the Nepal earthquake 2015. Natural Hazards, 114(3), 3787–3809. https://doi.org/10.1007/s11069-022-05543-0

Ladeira, W. J., Lim, W. M., de Oliveira Santini, F., Rasul, T., Perin, M. G., & Altinay, L. (2023). A meta‐analysis on the effects of product scarcity. Psychology & Marketing, 40(7), 1267–1279. https://doi.org/10.1002/mar.21816

Mutanda, G. W., & Nhamo, G. (2026). Livelihoods vulnerability and adaptive strategies for coastal communities. A systematic review. Marine Policy, 189, 1-16. https://doi.org/10.1016/j.marpol.2026.107094

Nisa, N. Z. (2026). Dinamika Kerentanan dan Strategi Penghidupan Masyarakat Pesisir Tambak Lorok dalam Perspektif Sustainable Livelihoods Framework. Sosioglobal: Jurnal Pemikiran dan Penelitian Sosiologi, 10(2), 319-335. https://doi.org/10.24198/jsg.v10i2.69359

Okronipa, H., Bageant, E. R., Baez, J., Onyango, H. O., Aura, C. M., & Fiorella, K. J. (2023). COVID-19 experiences of small-scale fishing households: The case of Lake Victoria, Kenya. Frontiers in Sustainable Food Systems, 6, 1-15. https://doi.org/10.3389/fsufs.2022.987924

Omar, N. A., Nazri, M. A., Ali, M. H., & Alam, S. S. (2021). The panic buying behavior of consumers during the COVID-19 pandemic: Examining the influences of uncertainty, perceptions of severity, perceptions of scarcity, and anxiety. Journal of Retailing and Consumer Services, 62, 1-12. https://doi.org/10.1016/j.jretconser.2021.102600

Pham, T. L., & Saizen, I. (2023). Coastal fishers’ livelihood adaptations to extreme weather events: an analysis of household strategies in Quang Ngai Province, Vietnam. Humanities and Social Sciences Communications, 10(1), 1-12. https://doi.org/10.1057/s41599-023-02263-z

Roemer, E., Schuberth, F., & Henseler, J. (2021). HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling. Industrial Management & Data Systems, 121(12), 2637–2650. https://doi.org/10.1108/IMDS-02-2021-0082

Rojas-Reyes, J. J., Rivera-Cadavid, L., & Peña-Orozco, D. L. (2024). Disruptions in the food supply chain: A literature review. Heliyon, 10(14), 1-21. https://doi.org/10.1016/j.heliyon.2024.e34730

Sekaran, U., & Bougie, R. (2020). Research Methods for Business, A Skill-Building Approach (5th ed). Wiley.

Shaikh, Z., Yasmin, T., & Rahrouh, M. (2026). Influence of Natural Disasters on Global Socio-Economic Systems and Sustainable Development: A Systematic Review. Sustainability, 18(13), 1-23. https://doi.org/10.3390/su18136515

Wang, W., & Zhao, Y. (2023). Impact of Natural Disasters on Household Income and Expenditure Inequality in China. Sustainability (Switzerland), 15(18), 1-15. https://doi.org/10.3390/su151813813

Published

2026-10-12

How to Cite

Rico Syahputra, Imam Gunanjar, Rahmat Maulidan, & Muhammad Ridwan Verinanda. (2026). INCOME SHOCK, ASSET DAMAGE, AND LOCAL MARKET PRICE RESPONSE ON POST-FLOOD HOUSEHOLD CONSUMPTION PATTERN CHANGE: A PLS-SEM STUDY OF COASTAL COMMUNITIES IN LANGSA CITY, INDONESIA. Count : Journal of Accounting, Business and Management, 4(2), 105 ~ 121. https://doi.org/10.61677/count.v4i2.1065