Instituto Superior Técnico, University of Lisbon, Portugal.
CEG-IST, Instituto Superior Técnico, University of Lisbon, Portugal.
Waste Manag. 2022 Feb 15;139:70-84. doi: 10.1016/j.wasman.2021.12.020. Epub 2021 Dec 23.
The unprecedented population increase brings several consequences to the environment, including the rise of urbanization levels and municipal solid waste (MSW) production - one expects that it may reach 3.4 billion tons per year by 2050. This paper contributes to the debate of efficiency measurement of MSW utilities management using the Portuguese case study. Our objectives are twofold. First, we assess the efficiency levels of municipalities in MSW collection through the Data Envelopment Analysis model, choosing total costs, staff, and vehicles as inputs, and the quantity of MSW collected (selective and refuse waste) as outputs. The efficiency results point to an average inefficiency level of about 35% and potential cost savings of over €96 million yearly. Second, by using a set of fifteen performance indicators monitored by the regulatory agency, we evaluate their relationship with the efficiency of MSW utilities, through the order-m model. Our results suggest that, in opposition to the management model, the rural/urban nature of councils helps explain part of the inefficiency. In general, the conditional-to-unconditional efficiency ratios reached values statistically different from 1, meaning that those indicators help explaining their efficiency distribution and the benchmarks profile, and need to be considered in future performance analyses. Remarkable and influential indicators include the accessibility to the service (average ratio = 0.95), the recycling rate (0.94), the monetization of the vehicle fleet (0.92), the pollution resulting from greenhouse gas emissions of waste collection vehicles (0.81), and council size measured by the population or the number of households (0.47).
人口的空前增长给环境带来了多方面的后果,包括城市化水平和城市固体废物(MSW)产量的上升——预计到 2050 年,这一数字可能达到 34 亿吨。本文通过对葡萄牙案例的研究,为 MSW 公用事业管理的效率衡量辩论做出了贡献。我们的目标有两个。首先,我们通过数据包络分析模型评估了各城市在 MSW 收集方面的效率水平,选择总成本、员工和车辆作为投入,而 MSW 的收集量(选择性废物和垃圾废物)作为产出。效率结果表明,平均无效率水平约为 35%,每年潜在节省成本超过 9600 万欧元。其次,通过使用监管机构监测的十五项绩效指标,我们通过序贯多目标模型评估了它们与 MSW 公用事业效率的关系。结果表明,与管理模式相反,委员会的农村/城市性质有助于解释部分无效率。总的来说,有条件的无效率比率与无条件的无效率比率达到了统计学上显著不同的数值,这意味着这些指标有助于解释它们的效率分布和基准概况,需要在未来的绩效分析中加以考虑。显著且有影响力的指标包括服务的可及性(平均比率为 0.95)、回收率(0.94)、车辆车队的货币化(0.92)、垃圾收集车辆温室气体排放造成的污染(0.81)以及按人口或家庭数量衡量的委员会规模(0.47)。