An integrated sustainability decision-support framework Part I: Problem structuring

One of the main goals in decision-making for sustainable development is to identify and choose the most sustainable option from among different alternatives. This process usually involves a large number of stakeholders with multiple, often conflicting, objectives. Facilitating and resolving such difficult decision situations can be complex, so that a more formal and systematic approach to decision-making may be necessary. This two-part paper proposes an integrated multiple criteria decision-support framework specifically developed to provide systematic, step-by-step guidance to decision-makers. The framework, which is suitable for both corporate and public policy-making in the context of sustainable development, comprises three steps: problem structuring, problem analysis and problem resolution. In this paper, the focus is on problem structuring while Part II concentrates on problem analysis and resolution. Problem structuring includes identification of stakeholders, sustainability issues and indicators relevant for a particular decision problem. Sustainability indicators are used as decision criteria for identifying and choosing the most sustainable option. In the problem analysis step, decision makers articulate their preferences for different decision criteria. A suitable Multiple Criteria Decision Analysis (MCDA) technique, such as multi-objective optimisation, goal programming, value-based and outranking approaches, is then used to model the preferences. These techniques are discussed in Part II, which also gives guidance on the choice of the most appropriate MCDA method. Based on the outcome of preference modelling, which estimates the overall 'value' of each alternative being considered, decision-makers can then choose the 'best' or most sustainable option. Such an integrated decision-support framework is useful for providing structure to the debate, ensuring dialogue among decision-makers and showing trade-offs between conflicting objectives. In this way, it may be possible to create shared understanding about the issues, generate a sense of common purpose, and often, resolve 'difficult' decision problems.     

Multi-scale sustainability evaluation of natural resource management systems: Quantifying indicators for different scales of analysis and their trade-offs using linear programming

The purposes of this paper are: (a) to describe a framework designed for multi-scale sustainability evaluation of Natural Resource Management Systems (NRMS), and (b) to illustrate its application for quantitative analysis using linear programming. The framework described here is intended to contribute to the operationalisation of the concept of sustainability by supporting the processes of design, evaluation and implementation of alternative NRMS at different scales. In this paper, Linear Programming is used for the quantitative analysis of indicators and their trade-offs; using a schematised example, the basic characteristics of the Multi-scale Multiple Goal Linear Programming (M-MGLP) method are described. In M-MGLP, indicators pertaining to different scales of analysis can be set as objectives or constraints for the optimisation. In this way, stakeholders interacting in a specific region can be made aware of the consequences of alternative NRMS in terms of the different indicators at the same scale and/or for indicators at other scales of analysis. The paper ends with a discussion of the main strengths and limitations of the framework and, specifically, of linear programming.     

Theoretical foundations of learning processes for sustainable development

Social-ecological systems are co-evolving systems. Of particular relevance are here: (1) co-evolution of the environment and governance, (2) co-evolution of technology and governance, and (3) co-evolution of human behaviour and culture. The co-evolutionary perspective has helped to understand the processes which led to the present unsustainable situation. This paper highlights different types of learning processes which occur in co-evolving systems and explores learning processes on the macro-, meso- and micro-levels for moving onto more sustainable paths. While the literature in environmental management, ecological economics or sustainability science often refers to the need for learning processes, the conceptualisation of learning and the link to learning theories is weak. This paper draws on learning theories from psychology, social psychology, education, evolutionary economics and political science and offers a first step toward theoretical foundations of learning processes for sustainable development. An improved understanding of these learning processes will provide important clues for policy recommendations on multiple scales.     

Designing for nature and sustainability

Humankind is now using natural resources more rapidly than natural systems can replace them and has been doing so for approximately two and a half decades. Moreover, both natural capital and the ecosystem services it provides are being diminished at an unprecedented rate. Finally, the human population is expected to increase by three billion by 2050. This situation is clearly unsustainable, but it can be made less so by redesigning societal wastes so that they benefit the biospheric life-support system. Nature initiates and maintains a system of energy and nutrient cycling and, if the system integrity is maintained, provides alternative and redundant means that help stabilize functional capacity. The system is composed of opportunistic individuals that compete with other individuals to acquire the resources essential to their survival. The interrelationships within this aggregation of individuals (i.e. system components) are based on energy flow. This self-organizing and self-maintaining system is increasingly stressed by human activities. Humans are a part of, not apart from, this system and are governed by the same laws of nature. In short, an ecologically-based economic system is essential to sustainable use of the planet. The planet's life-support system has been a superb model of sustainability, which humans should emulate and become a part of more than they now are. When the biospheric life-support system is stressed to the point of disequilibrium, the results are disastrous for societies, individuals and ecosystems. Evolutionary processes have produced replacement systems following the five great biological extinctions. However, the probability is high that the next replacement system will not be as suitable for humankind as the present system. Sustainable practices are intended to prevent biospheric disequilibrium and maintain the present environmental conditions so favorable to humankind, including posterity.     

Sustainable development and systems thinking: A case study of a heritage city

The concept of sustainable cities is based on a development paradigm that recognizes that cities make an important contribution to social and economic development. System thinking, including hard and soft systems, can be used to provide a new perspective and tools to resolve questions. The 500-year-old heritage city of Udaipur in India, which has traditionally maintained the spirit of living in a sustainable manner, is now seeking sustainable development. This paper attempts to analyse the issues underlying sustainable development of Udaipur by applying CATWOE in order to comprehend the systemic elements of the city from a soft systems perspective.     

Evaluating environmental and economic benefits of yellow dust storm-related policies in north China

Yellow-dust storms (YDSs) have attracted increasing attention worldwide in the past decade. They can extensively disrupt socioeconomic activities and pose hazards to ecosystems, as well as to human health. In recent years, China has invested multi-billions of dollars to mitigate the impact of YDSs. However, the effectiveness of such YDS control programmes has rarely been evaluated. This research develops a causal model to quantify the environmental benefits of YDS control programmes in China, and further employs regional economic models to evaluate the ensuing economic impacts. The economic benefits generated from the YDS control programmes should remain stable across the years, primarily because of the multiplier effect of the investments, while the environmental benefits tend to decline over time. Our results suggest that YDS control programmes should consider stimulating local economic activities in addition to environmental goals in order to be cost-effective and sustainable in the long term.