Análisis financiero de modelos de negocio de gestión de residuos sólidos

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This report analyzes the financial viability and cost-efficiency of decentralized organic waste management models in Indonesia and Brazil. It compares government-operated, private, and community-led systems, finding that decentralized models—such as community groups in Indonesia and home composting in Brazil—often achieve lower Levelized Cost of Waste (LCOW) despite facing significant financial tensions and limited public funding. The study highlights that labor is the primary operating expense across all models and recommends a holistic approach that integrates informal workers and community actors into formal legal and financial frameworks to scale methane abatement.

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  • Public budget allocations for solid waste management are generally low in both countries, with Brazil's municipal allocations ranging from 1.9% to 5.1% and Indonesia's ranging from 0.3% to 2.4% across sampled cities.
  • Decentralized models, including community groups in Indonesia and home composting and recycler cooperatives in Brazil, demonstrate potential for higher cost efficiency measured by the Levelized Cost of Waste (LCOW).
  • Fixed assets, particularly land acquisition, represent the largest contribution to total asset value (89% in Indonesia and 58% in Brazil), acting as a significant entry barrier for industrial actors but less so for decentralized models like home composting.
  • Labor is the dominant operating expense for almost all waste management entities, accounting for 74% to 98% of costs in Indonesia and 48% to 90% in Brazil, indicating the sector's high potential for job creation.
  • Community groups in Indonesia face severe financial vulnerability, with operating margins between -49% and -628%, due to low waste volumes and high labor dependence, despite treating approximately 15% of community waste independently.
  • Private entities in both countries generally achieve higher revenue per ton and better operating margins than public or community entities, often leveraging economies of scale and more durable assets.
  • Organic waste treatment provides significant co-benefits beyond methane reduction, including job creation, improved air and water quality, and the production of value-added products like Black Soldier Fly (BSF) larvae for animal feed.
  • There is a critical mismatch in financing flows, where current loans and grants focus on capital expenditures (CAPEX) while the actual needs of waste management are dominated by operating expenditures (OPEX).

Cite the original document

APA
Yusuf, B., Bimo, R., Gembira, H., Nurfitriani, F., & Purnomo, I. (2025). Análisis financiero de modelos de negocio de gestión de residuos sólidos. Climate Policy Initiative. https://www.climatepolicyinitiative.org/wp-content/uploads/2025/06/Spanish-Financial-Analysis-of-SWM-Business-Models.pdf
Chicago
Yusuf, Berliana, Ravi Bimo, Harry Gembira, Fatihatul Nurfitriani, and Ira Purnomo. Análisis financiero de modelos de negocio de gestión de residuos sólidos. Climate Policy Initiative, 2025. https://www.climatepolicyinitiative.org/wp-content/uploads/2025/06/Spanish-Financial-Analysis-of-SWM-Business-Models.pdf.
Wikipedia
{{cite report |last1=Yusuf |first1=Berliana |last2=Bimo |first2=Ravi |last3=Gembira |first3=Harry |last4=Nurfitriani |first4=Fatihatul |last5=Purnomo |first5=Ira |title=Análisis financiero de modelos de negocio de gestión de residuos sólidos |publisher=Climate Policy Initiative |date=June 2025 |url=https://www.climatepolicyinitiative.org/wp-content/uploads/2025/06/Spanish-Financial-Analysis-of-SWM-Business-Models.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{yusuf2025anlisis, author = {Yusuf, Berliana and Bimo, Ravi and Gembira, Harry and Nurfitriani, Fatihatul and Purnomo, Ira}, title = {{Análisis financiero de modelos de negocio de gestión de residuos sólidos}}, institution = {Climate Policy Initiative}, year = {2025}, month = jun, url = {https://www.climatepolicyinitiative.org/wp-content/uploads/2025/06/Spanish-Financial-Analysis-of-SWM-Business-Models.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }

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