Yield Measures for Special-Interest Australian Inbound Tourism Markets

Different tourism stakeholders mean different things by ‘yield’ and this presents a barrier to communication and policy discussion. Primarily, this paper provides an overview of different concepts of yield. It also operationalizes several of these measures using inbound tourism expenditure data for Australia so that the origin markets and market segments identified as generating high yields under the various measures can be compared. The paper further identifies the manner in which the concept of yield can be broadened to embrace sustainable yield by incorporating measures of environmental and social impact. It concludes with a discussion of the policy implications of the study

The MIIM LCA PH.D. club: Presentation and introduction

During 1998, the number of completed Ph.D.s on Life Cycle Assessment (LCA) seemed to be larger than any previous year. In order to mark this achievement, a special series is being published in the International Journal of LCA. In this introductory paper, the Class of MUM outline the results of their research work over the last few years. A number of common points and tendencies have emerged through this work. First of all, the scope-dependency of LCA models: some of us have discerned in particular the need to distinguish between descriptive and change-oriented LCAs. Secondly, a number of the theses focus on the interaction between LCA and decision-making. Thirdly, the benefits of pluralism in impact assessment and allocation have been advocated in some of the theses. Finally, it may be noted that in these theses structuring the management of controversial issues seems to be preferred to eliminating such issues by a process of harmonisation. Future papers will map out the intellectual journeys undertaken in the development of these theses and discuss key findings in more detai

Forschungsprojekte mit der Praxis entwickeln: Ergebnisse des Projektentwicklungsprozesses der Innovationsgruppe ginkoo

Organic farming actors need to handle more complex innovation processes to develop locally adapted and globally relevant solutions for challenges such as agricultural-biodiversity and relationship between farmers and producers. For a coordinating management of such innovation processes, management tools that exceed classical innovation management techniques, are required if sustainable solutions are to be achieved. Developing relevant knowledge requires a transdisciplinary approach to bridge the gap between science and practice. This paper presents our process and the resulting concept of the transdisciplinary innovation group ginkoo for one of two case studies. It aims at developing a research concept that integrates the practical context such that ground for using the research findings after the end of funding has been laid

Aggregating sustainability indicators: Beyond the weighted sum

Sustainability analysts and environmental decision makers often overcome the difficulty of interpreting comprehensive environmental profiles by aggregating the results using multi-criteria decision analysis (MCDA) methods. However, the wide variety of methodological approaches to weighting and aggregation introduces subjectivity and often uncertainty. It is important to select an approach that is consistent with the decision maker’s information needs, but scant practical guidance is available to environmental managers on how to do this.In this paper, we aim to clarify the theoretical implications of an analyst’s choice of MCDA method. Bysystematically examining the methodological decisions that must be made by the analyst at each stage of the assessment process, we aim to improve analysts’ understanding of the relationship between MCDA theory and practice, and enable them to apply methods that are consistent with a decision maker’s needs in any given problem context

Environmental life cycle assessment of the microfiltration process

Membrane technology is being increasingly used in the treatment of waters and wastewaters. The two main costs associated with the adoption of membrane filtration are the membrane module cost and the energy cost. Tradeoffs between selection of membrane capital cost and energy cost are usually identified for process optimisation; however, environmental tradeoffs associated with different operating conditions have received less attention. In order to ensure the sustainable use of membrane filtration, environmental considerations should also influence the choice of operating conditions. Here, we report on application of the method of life cycle assessment (LCA) to assess the environmental performance of different operating conditions of a microfiltration membrane (MF) process. Different membrane chemical cleaning options are compared in the sensitivity analysis component of the study. The results show that operating the MF process at a low flux with a high maximum transmembrane pressure (TMPmax) offers the most environmentally favourable outcome. The sensitivity analysis results show that in the low flux range, the choice of chemical cleaning frequency can affect the overall environmental performance of the process. © 2006 Elsevier B.V. All rights reserved

Generation of an industry-specific physico-chemical allocation matrix: Application in the dairy industry and implications for systems analysis

Background, Aims and Scope: Allocation is required when quantifying environmental impacts of individual products from multi-product manufacturing plants. The International Organization for Standardization (ISO) recommends in ISO 14041 that allocation should reflect underlying physical relationships between inputs and outputs, or in the absence of such knowledge, allocation should reflect other relationships (e.g. economic value). Economic allocation is generally recommended if process specific information on the manufacturing process is lacking. In this paper, a physico-chemical allocation matrix, based on industry-specific data from the dairy industry, is developed and discussed as an alternative allocation method. Methods: Operational data from 17 dairy manufacturing plants was used to develop an industry specific physico-chemical allocation matrix. Through an extensive process of substraction/substitution, it is possible to determine average resource use (e.g. electricity, thermal energy, water, etc) and wastewater emissions for individual dairy products within multi-product manufacturing plants. The average operational data for individual products were normalised to maintain industry confidentiality and then used as an industry specific allocation matrix. The quantity of raw milk required per product is based on the milk solids basis to account for dairy by-products that would otherwise be neglected. Results and Discussion: Applying fixed type allocation methods (e.g. economic) for all input and outputs based on the quantity of product introduces order of magnitude sized deviations from physico-chemical allocation in some cases. The error associated with the quality of the whole of factory plant data or truncation error associated with setting system boundaries is insignificant in comparison. The profound effects of the results on systems analysis are discussed. The results raise concerns about using economic allocation as a default when allocating intra-industry sectoral flows (i.e. mass and process energy) in the absence of detailed technical information. It is recommended that economic allocation is better suited as a default for reflecting inter-industry sectoral flows. Conclusion: The study highlights the importance of accurate causal allocation procedures that reflect industry-specific production methods. Generation of industry-specific allocation matrices is possible through a process of substitution/subtraction and optimisation. Allocation using such matrices overcomes the inherit bias of mass, process energy or price allocations for a multi-product manufacturing plant and gives a more realistic indication of resource use or emissions per product. The approach appears to be advantageous for resource use or emissions allocation if data is only available on a whole of factory basis for several plants with a similar level of technology. Recommendation and Perspective: The industry specific allocation matrix approach will assist with allocation in multi-product LCAs where the level of technology in an industry is similar. The matrix will also benefit dairy manufacturing companies and help them more accurately allocate resources and impacts (i.e. costs) to different products within the one plant. It is recommended that similar physico-chemical allocation matrices be developed for other industry sectors with a view of ultimately coupling them with input-output analysis

Assessing the Ecological Footprint of a Large Metropolitan Water Supplier: Lessons for Water Management and Planning towards Sustainability

Faced with the task of communicating their combined social, environmental and economic impact, water service providers are seeking to report overall performance in an aggregated way. Such a methodology must be scientifically robust, easily communicated and allow benchmarking of performance while reflecting a transition towards sustainability. In this paper the ecological footprint (EF) is calculated for Sydney Water Corporation (SWC), using input-output analysis and land disturbance in an innovative approach that overcomes problems identified in the original EF concept. This pilot study has allowed SWC to gain some valuable insights into its impacts: SWC's annual EF is about 73 100 ha in terms of land disturbance. Of this, 54 000 ha are projected to become disturbed as a consequence of climate change, with the remainder of 19 100 ha being disturbed on SWC's premises (2400 ha) and on those of upstream suppliers (16 700 ha). Total on-site impacts equal 9300 ha, while indirect land disturb ance contributes 63 600 ha. The EF appears promising as an educational and communi cation tool and may have potential as a decision support tool. However, further research is needed to incorporate downstream impacts into the EF, which would have significant benefits to SWC in terms of assessing and communicating the organization's overall progress towards sustainability.