首页> 外文期刊>Journal of Cleaner Production >Are there scale economies in urban waste and wastewater municipal services? A non-radial input-oriented model applied to the Portuguese local government
【24h】

Are there scale economies in urban waste and wastewater municipal services? A non-radial input-oriented model applied to the Portuguese local government

机译:城市废物和废水市政服务中是否存在规模经济?面向非径向输入的模型应用于葡萄牙地方政府

获取原文
获取原文并翻译 | 示例
           

摘要

Local government policy intervention, especially by means of structural reform, requires a detailed knowledge of the scale and scope characteristics of the local government services, explicitly solid urban waste collection and wastewater treatment. However, unfortunately little is known about scale economies in Portuguese municipal services, apart from water. The main contribution of this paper is to address this gap in the empirical literature on Portuguese local government. The major objectives of the paper are: (a) to investigate whether scale economies can explain differential council performance in terms of treating wastewater and collecting urban waste and (b) how this might shed light on the question of optimal jurisdictional size, i.e., the quantity of consumed resources and the volume of delivered services that maximize council productivity. By using a non-radial input-oriented model, we examine scale economies and optimal scale size for all 308 Portuguese local councils over the years 2008 and 2015. We find that (dis)economies of scale arise within each council cluster considered and as a probable consequence of combining the activities of two or more councils. We attempt to draw various policy implications from the analysis. (C) 2019 Elsevier Ltd. All rights reserved.
机译:地方政府的政策干预,特别是通过结构改革的干预,需要对地方政府服务的规模和范围特征,明确的城市垃圾收集和废水处理有详细的了解。但是,不幸的是,除了水,对葡萄牙市政服务的规模经济了解甚少。本文的主要贡献在于解决有关葡萄牙地方政府的经验文献中的这一空白。该文件的主要目标是:(a)研究规模经济是否可以在处理废水和收集城市废物方面解释理事会的绩效,以及(b)如何阐明最佳管辖权的问题,即:消耗的资源数量和提供的服务数量,可最大化理事会的生产力。通过使用非径向输入导向的模型,我们研究了2008年和2015年间所有308个葡萄牙地方议会的规模经济和最佳规模。合并两个或多个理事会的活动的可能结果。我们试图从分析中得出各种政策含义。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号