Drivers of municipal solid waste management cost based on cost models inherent to sorted and unsorted waste

Abstract

After having divided waste management cost in its cost items, we focus on how wellknown exogenous and endogenous drivers impact on such cost items. To this end, we collected empirical data of 6,616 Italian municipalities for a two-year period. We develop four regression-based models to analyze the data according to cost items. Models are also reiterated using different data normalization: cost per ton of waste or waste per capita. Besides exogenous determiners of cost, such as altitude, population density, and coastal zone, results refer to both unsorted and sorted waste management cost items. In this respect economies of scale are confirmed along with the critical role of adequate waste facilities that play a remarkable role in cost minimization.

Designing waste management systems to meet circular economy goals: The Italian case

“…Thus, our results provide policymakers with information for setting up a waste capacity industrialization path, and regulators with support regarding how and to what extent they should define tariffs for the use of facilities (Scharff, 2014;Schreck and Wagner, 2017). Specifically, and consistently with previous studies, these results can support policymakers to design policies that promote the overall efficiency and cost-effectiveness of the service while meeting the environmental objectives set by the circular economy package (Di Foggia and Beccarello, 2020a). It is also important to focus policies on the waste sector's infrastructural capacity by selecting and promoting different waste management facilities.…”

Optimal Policy-Making for Municipal Waste Management Based on Predictive Model Optimization

“…Thus, the total cost is the summation of the total hours the cleaner worked. The cost of waste carrier vehicle is given by (2).…”

“…There has been a linear relationship between economic growth and waste production. This was first quantified by Johnstone et al that a 1% growth in GDP of a country leads to a 0.69% rise in the amount of waste as a result [1] [2]. Considering these linear trends over the recent few decades, waste management has found a focal place in devising sustainable policies and achieving economic goals [3] [4].…”

Management Accounting for Healthy Nutrition Education: Meta-Analysis

“…Its analysis is multidimensional since its evolution reflects various disciplines [86]. However, in addition to its initial association with accounting, medicine and education, it is also linked by association with the fields of Psychology, Humanities, Economics, Neuroscience, or Biochemistry, Genetics and Molecular Biology [87,88].…”