This paper develops the conceptual and empirical basis for a class of empirical economic production models that can be linked to site-specific bio-physical models for use in integrated assessment research. Site-specific data are used to estimate econometric production models, and these data and...

Natural resource management decision making by Catchment Management Authorities in NSW is being aided by a project involving bio-physical modelling and the development of an alternative decision-making framework. The objective of the bio-physical modelling process is to generate predictions of...

In the Philippines, importation has remained as one of the most feasible options for the government to meet the growing demand for rice. It is thus imperative for the government to develop a strategy that would ensure adequate supply and minimum importation costs. One of the critical factors in...

In the Philippines, importation has remained as one of the most feasible options for the government to meet the growing demand for rice. It is thus imperative for the government to develop a strategy that would ensure adequate supply and minimum importation costs. One of the critical factors in...

The relation between work organisation and technological practices in auto industry is analysed in this article. The concept of “technological practice” in this sector is used to describe the specific ways of embedding information and communication technology applications into the...

Taking into account the global trends towards vertical de-integration and functional integration, the WorTiS project is expected to be able to determine to what extent the Portuguese automobile industry is experiencing far-reaching changes as far as innovative (post-fordist) work systems are...

There is scope internationally to utilise surplus and degraded agricultural land for biomass crops that might also be environmentally beneficial. For example, dryland salinity in southern Australian could be ameliorated using profitable woody biomass crops. A model was developed to predict...