University of Milano-Bicocca, Department of Business and Law and CESISP - Center for Economics and Regulation of Services, Industry and Public Sector, Via B. degli Arcimboldi 8, 20126 Milano, Italy.
University of Milano-Bicocca, Department of Business and Law and CESISP - Center for Economics and Regulation of Services, Industry and Public Sector, Via B. degli Arcimboldi 8, 20126 Milano, Italy.
Waste Manag. 2020 Aug 1;114:202-214. doi: 10.1016/j.wasman.2020.07.012. Epub 2020 Jul 14.
After having divided waste management cost in its cost items, we focus on how well-known 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. Policymakers and regulators may benefit from such results when it comes to define allowed revenues and design the scope of municipal solid waste regulation.
在将废弃物管理成本分解为各项成本后，我们重点研究了广为人知的外生和内生驱动因素对这些成本项的影响。为此，我们收集了意大利 6616 个市镇两年的实证数据。我们根据成本项开发了四个基于回归的模型来分析数据。我们还使用不同的数据归一化方法（每吨废物或每人每年的废物量）重复了这些模型。除了成本的外生决定因素，如海拔、人口密度和沿海地区，结果还涉及未分类和分类的废物管理成本项。在这方面，规模经济得到了证实，同时还证明了充足的废物处理设施至关重要，因为这些设施在成本最小化方面发挥了重要作用。在确定允许的收入和设计城市固体废物管理范围时，政策制定者和监管者可能会从这些结果中受益。
