Cost function analysis for solid waste management: a developing country experience.

Area of Science:

• Environmental Science
• Public Policy
• Economics

Background:

• Solid waste management (SWM) cost planning requires enhancement, especially in emerging economies facing severe challenges and financial constraints.
• Current cost estimation methods are insufficient for effective financial planning in these regions.

Purpose of the Study:

• To investigate improved cost planning methods for SWM in emerging economies.
• To identify key factors influencing SWM costs using empirical data.

Main Methods:

• Utilized 1999 data from 298 Indian municipalities, encompassing over 140 million people.
• Employed stepwise multiple regression analysis with eight predictor variables to assess cost correlations.

Main Results:

• Average SWM costs (per tonne or per capita) are primarily driven by the number of staff employed relative to output or population.
• Labor costs constitute a significant fraction of total SWM costs in developing countries.
• No clear economy-of-scale was observed; population size did not correlate with per tonne or per capita costs due to labor intensity variations.

Conclusions:

• Labor intensity is a more critical determinant of SWM costs than population size in the studied context.
• The findings highlight the need to focus on labor cost management for effective SWM financial planning in emerging economies.
• Despite data limitations, the study offers valuable insights for future research on SWM costs in developing regions.