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trends and future of sustainable development - TransEco

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in the real world? Since the lack <strong>of</strong> commitment <strong>and</strong> cooperation proved to be the main factorsundermining the diffusion <strong>of</strong> <strong>sustainable</strong> production systems, it was crucial to address the viability <strong>of</strong>such systems. The iterative process <strong>of</strong> mapping <strong>and</strong> analysing, which actors support, obstruct <strong>and</strong>interfere with each other, allows implementing the detailed design process that actually deals thecomplexity <strong>of</strong> innovation acceptance. Thus the designed system is not an idealised vision <strong>of</strong> a <strong>sustainable</strong>production <strong>and</strong> transportation system, but rather a thought-through system that can be implemented<strong>and</strong> potentially has more probability to sustain.The balancing <strong>of</strong> the system was done through alternating between technical, political <strong>and</strong> businessmechanisms. These mechanisms can be projected on the three dimensions <strong>of</strong> sustainability, asenvisioned in Figure 4. The three new sub-dimensions need to be taken into account when designingindustrial ecosystems, since they are able to affect the traditional ecological, economical <strong>and</strong> socialdimensions <strong>of</strong> sustainability. As an example, the price <strong>of</strong> biogas, which was a critical actor in the focalsystem, could be affected by developing more efficient technology, by providing subsidies for the biogasproducer, or by developing a more effective pricing model. The three options are mechanisms fromtechnological, political, <strong>and</strong> business dimensions accordingly. Though the latter option was chosen in theresearch, other two options were discussed <strong>and</strong> may still be introduced if they are to affect positively thewhole system.Figure 4. Extended dimensions <strong>of</strong> sustainability (adapted <strong>and</strong> modified from Adams, 2006)The distinguishing feature <strong>of</strong> the method proposed in this paper is the possibility for fluctuatingsystem boundaries. The boundaries <strong>of</strong> the focal system changed from iteration to iteration as new actorswere included. This happened partly due to the introduction <strong>of</strong> new actors <strong>and</strong> their effect on the system.Partly, the boundaries moved when the system naturally evolved. For example, if the dem<strong>and</strong> for biogasincreases, there arises a need to find other sources <strong>of</strong> biomass, which will inevitably introduce new actors<strong>and</strong> change the programme-antiprogramme constellation. The question <strong>of</strong> boundary setting has beencrucial in industrial ecology, especially concerning industrial ecosystems. Such systems are very dynamic<strong>and</strong> complex, <strong>and</strong> it is difficult to set strict boundaries for them. However, it depends on the analysispurposes whether the system boundaries need to be defined. E.g. energy balance calculations or materialflow analysis urge for boundary definition, whereas the ANT-derived method implies that there isactually no need for them to be pre-set <strong>and</strong> fixed.456

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