skip to main content

Economic Valuation of Household Waste Transportation in Yogyakarta City, Indonesia: A Contingent Valuation Approach

Universitas Gadjah Mada, Indonesia

Received: 26 Nov 2024; Revised: 18 Mar 2026; Accepted: 8 May 2026; Available online: 24 May 2026; Published: 11 Jun 2026.
Editor(s): Budi Warsito

Citation Format:
Abstract

This study examines the economic aspects of solid waste management in Yogyakarta City by comparing households' Ability to Pay (ATP) and Willingness to Pay (WTP). Using survey data and Tobit regression analysis, this research estimates ATP and WTP values and identifies their underlying determinants. The findings reveal a crucial phenomenon: WTP consistently exceeds ATP. This indicates that while citizens highly value waste services and are willing to pay more, they are restricted by their actual financial capacity. Furthermore, demanding physical obligations, such as mandatory sorting for waste banks, significantly reduce WTP because households perceive this manual effort as an added burden. Given that Yogyakarta City currently lacks a standardized tariff system, this study warns that implementing a uniform flat-rate tariff in the future would be highly inequitable. A flat-rate system would severely burden vulnerable groups while disproportionately benefiting wealthy households. Therefore, the government is advised to implement a progressive, tiered tariff system. Through cross-subsidization, wealthier households would pay a premium to subsidize low-income populations. This equitable financing scheme is absolutely necessary to ensure the commercial viability and sustainability of Public-Private Partnership (PPP) projects under the 2022–2031 waste management masterplan.

Keywords: ability-to-pay; willingness-to-pay; contingent valuation method; waste management; Yogyakarta City

Article Metrics:

  1. Apio, E., Opio, B., Acanga, A., & Akello, A. R. (2024). Factors influencing willingness to pay for improved solid waste collection services among households in urban cities in Uganda: Empirical evidence from Lira City. BMC Public Health, 24(1), 2150. https://doi.org/10.1186/s12889-024-19568-6
  2. Asih, A. M. S., Prasetyo, D. H., & Sopha, B. M. (2026). Household recycling behavior and community-based waste management: An agent-based modeling of socioeconomic heterogeneity in urban Indonesia. Journal of Environmental Management, 399, 128658. https://doi.org/10.1016/j.jenvman.2026.128658
  3. Awino, F. B., & Apitz, S. E. (2024). Solid waste management in the context of the waste hierarchy and circular economy frameworks: An international critical review. Integrated Environmental Assessment and Management, 20(1), 9–35. https://doi.org/10.1002/ieam.4774
  4. Bai, R., & Lin, B. (2022). Are residents willing to pay for garbage recycling: Evidence from a survey in Chinese first-tier cities. Environmental Impact Assessment Review, 95, 106789. https://doi.org/10.1016/j.eiar.2022.106789
  5. Carson, R. T. (2000). Contingent Valuation: A User’s Guide. Environmental Science & Technology, 34(8), 1413–1418. https://doi.org/10.1021/es990728j
  6. Castellón, C. E., Boonsaeng, T., & Carpio, C. E. (2015). Demand system estimation in the absence of price data: An application of Stone-Lewbel price indices. Applied Economics, 47(6), 553–568. https://doi.org/10.1080/00036846.2014.975332
  7. Comerio, N., Nagai, H., Pacicco, F., & Serati, M. (2022). Tourism and waste management: An analysis of municipal solid waste. International Journal of Tourism Research, 24(1), 185–187. https://doi.org/10.1002/jtr.2490
  8. Czajkowski, M., Kądziela, T., & Hanley, N. (2014). We want to sort! Assessing households’ preferences for sorting waste. Resource and Energy Economics, 36(1), 290–306. https://doi.org/10.1016/j.reseneeco.2013.05.006
  9. Ferronato, N., & Torretta, V. (2019). Waste Mismanagement in Developing Countries: A Review of Global Issues. International Journal of Environmental Research and Public Health, 16(6), 1060. https://doi.org/10.3390/ijerph16061060
  10. Gliner, J. A., Morgan, G. A., & Leech, N. L. (2016). Research Methods in Applied Settings (0 ed.). Routledge. https://doi.org/10.4324/9781315723082
  11. Hasbiah, A. W., Rochaeni, A., & Sutopo, A. F. (2018). Analisis Kesediaan Membayar (Willingness To Pay) dan Kesediaan Untuk Menerima Kompensasi (Willingness To Accept) Dari Keberadaan Tempat Penampungan Sementara Ciwastra Dengan Contingent Valuation Method. Infomatek, 20(2), 107. https://doi.org/10.23969/infomatek.v20i2.1211
  12. Hasbullah, Z. R., Pharmawati, K., & Pratama, Y. (2020). Analisis Tarif Pengelolaan Sampah Berdasarkan Ability To Pay dan Willingness To Pay di Kecamatan Cimahi Tengah. Jurnal Reka Lingkungan, 8(1), 1–13. https://doi.org/10.26760/rekalingkungan.v8i1.1-13
  13. Jenkins, R. R., Martinez, S. A., Palmer, K., & Podolsky, M. J. (2003). The determinants of household recycling: A material-specific analysis of recycling program features and unit pricing. Journal of Environmental Economics and Management, 45(2), 294–318. https://doi.org/10.1016/S0095-0696(02)00054-2
  14. Jin, J., Wang, Z., & Ran, S. (2006). Comparison of contingent valuation and choice experiment in solid waste management programs in Macao. Ecological Economics, 57(3), 430–441. https://doi.org/10.1016/j.ecolecon.2005.04.020
  15. Johnston, R. J., Boyle, K. J., Adamowicz, W. (Vic), Bennett, J., Brouwer, R., Cameron, T. A., Hanemann, W. M., Hanley, N., Ryan, M., Scarpa, R., Tourangeau, R., & Vossler, C. A. (2017). Contemporary Guidance for Stated Preference Studies. Journal of the Association of Environmental and Resource Economists, 4(2), 319–405. https://doi.org/10.1086/691697
  16. Kaza, S., Yao, L. C., Bhada-Tata, P., & Van Woerden, F. (2018). What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050. Washington, DC: World Bank. https://doi.org/10.1596/978-1-4648-1329-0
  17. Knickmeyer, D. (2020). Social factors influencing household waste separation: A literature review on good practices to improve the recycling performance of urban areas. Journal of Cleaner Production, 245, 118605. https://doi.org/10.1016/j.jclepro.2019.118605
  18. Ministry of Environment and Forestry. (n.d.). Capaian Kinerja Pengelolaan Sampah. Sistem Informasi Pengelolaan Sampah Nasional. Retrieved https://sipsn.menlhk.go.id/sipsn/
  19. Mitchell, R. C., & Carson, R. T. (2013). Using Surveys to Value Public Goods: The Contingent Valuation Method (1st ed.). RFF Press. https://doi.org/10.4324/9781315060569
  20. Ndau, H., & Tilley, E. (2018). Willingness to Pay for Improved Household Solid Waste Collection in Blantyre, Malawi. Economies, 6(4), 54. https://doi.org/10.3390/economies6040054
  21. Omang, D. I. K., Egbe John, G., Alain Inah, S., & Owan Bisong, J. (2021). Public health implication of solid waste generated by households in Bekwarra Local Government area. African Health Sciences, 21(3), 1467–1473. https://doi.org/10.4314/ahs.v21i3.58
  22. Organisation for Economic Co-operation and Development. (2019). Waste Management and the Circular Economy in Selected OECD Countries. Organisation for Economic Co-operation and Development
  23. Pradana, W. (2020, February 19). Mengenang Tragei Longsor Sampah di TPA Leuwi Gajah. Detiknews.com. Detik.Com. https://news.detik.com/berita-jawa-barat/d-4906289/mengenang-tragedi-longsor-sampah-di-tpa-leuwigajah
  24. Quina, M., Fadhillah, F., & Vania, A. (2019, August 6). Kewenangan Pemerintah Daerah dalam Pengelolaan Sampah. Indonesia Center for Environmental Law. https://icel.or.id/id-id/search/v/kewenangan-pemerintah-daerah-dalam-pengelolaan-sampah
  25. Rodrigo-Ilarri, J., Rodrigo-Clavero, M.-E., Romero, C. P., & Suárez-Romero, P. (2022). Do Solid Waste Landfills Really Affect Land Use Change? Answers Using the Weighted Environmental Index (WEI). Remote Sensing, 14(21), 5502. https://doi.org/10.3390/rs14215502
  26. Sekito, T., Prayogo, T. B., Dote, Y., Yoshitake, T., & Bagus, I. (2013). Influence of a community-based waste management system on people’s behavior and waste reduction. Resources, Conservation and Recycling, 72, 84–90. https://doi.org/10.1016/j.resconrec.2013.01.001
  27. Statistics Indonesia. (2021). Kecamatan Umbulharjo dalam Angka 2021. Statistics Indonesia
  28. Statistics Indonesia. (2023). Kota Yogyakarta Dalam Angka 2023. Statistics Indonesia
  29. Waluyo, & Kharisma, D. B. (2023). Circular economy and food waste problems in Indonesia: Lessons from the policies of leading Countries. Cogent Social Sciences, 9(1), 2202938. https://doi.org/10.1080/23311886.2023.2202938
  30. Xu, M., Mussone, L., & Grant-Muller, S. (2018). Effects of a tradable credits scheme on mobility management: A household utility based approach incorporating travel money and travel time budgets. Case Studies on Transport Policy, 6(3), 432–438. https://doi.org/10.1016/j.cstp.2017.05.004

Last update:

No citation recorded.

Last update: 2026-06-11 12:59:49

No citation recorded.