Genuine saving rate: An integrated indicator to measure urban sustainable development towards an ecocity

The construction of an ecocity is gradually gaining attention as an indicator of sustainable development. Genuine saving rate (GSR), which takes account of various impacts of economic activities including depletion of natural resources, costs of environmental pollution and long-term environmental damage, can be used as an integrated indicator to measure the status quo and potential of sustainability for an ecocity. This paper discusses the concept of an ecocity; and analyses the time-series of GSR in Suzhou between 1991–2001 as a case study used to develop a standard method of measuring sustainability. The status quo and trends in urban sustainability in six case study cities in China are then evaluated and compared. The results show the current status: Suzhou (23.6%), Guangzhou(18.9%), Ningbo (14.7%), Yantai (13.1%), Yangzhou (11.7%) and Sanming (7.9%). The study demonstrates that GSR provides not only a linkage by which local governmental departments for resources management, environmental protection, finance and planning can be connected directly, but also an effective analytical tool for the planning and construction of an ecocity as well as decision-making support for local governments.     

Implementing a new model to measure and assess eco-effectiveness as an indicator of sustainability

A model able to measure eco-effectiveness, which was theoretically proposed and illustrated in a previous article, is here developed and implemented for three case studies (USA, EU-15 and Japan) in order to verify its potential usefulness in the natural resources field. The results obtained by the application of the 'loss function' – ability to measure the distance between a real and an ideal situation – show that the model can be seen as a fundamental basis to assess the exploitation intensity of resources among different countries/areas and/or over time, especially if new measures and best environmental practices are adopted to increase resource productivity and to reduce environmental burdens. Since a main issue in the model implementation is related to the subjective choice of weights to be given to the various resources in the loss function (materials, fossil fuels and biomass), a graphical approach based on a 'weighting triangle' is also proposed to overcome the problem of previous weight selection. This tool permits us to make a distinction between a 'non-sustainability' area and a 'sustainability' area, based on whether an increase or a decrease of the loss function is more plausible.