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Wellbeing, Freedom and Social Justice The Capability Approach Re-Examined, 2017a

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70 <strong>Wellbeing</strong>, <strong>Freedom</strong> <strong>and</strong> <strong>Social</strong> <strong>Justice</strong><br />

focussing on functionings or capabilities as the dimensions. What<br />

lessons <strong>and</strong> insights can we learn from what has so far been argued in<br />

this literature on the weighing of dimensions? (Alkire 2016; Alkire et al.<br />

2015, chapter 6; Robeyns 2006b, 356–58)<br />

First, the selection of weights for the capability approach is structurally<br />

similar to other multidimensional metrics (in the case of evaluations)<br />

or decision-making procedures (in case one needs to decide to which<br />

capabilities to give priority in policies or collective decision making).<br />

Hence one should consult existing discussions in other debates where<br />

multidimensionality plays an important role. Let us first look at the<br />

group of applications in which the capability approach is used to make<br />

decisions about what we, collectively, ought to do. That may be in an<br />

organisation; or at the level of a community that needs to decide whether<br />

to spend tax revenues on investing more in public green spaces, or in<br />

social services for particular groups, or in taking measures to prevent<br />

crime, or in anything else that can likely be understood as leading to<br />

positive effects on our capabilities. In those cases, we can learn from<br />

social choice theory, <strong>and</strong> from theories of democratic decision making,<br />

how we could proceed. 38 Decisions could be made by voting, or by<br />

deliberation, or by deliberation <strong>and</strong>/or voting among those who are the<br />

representatives of the relevant population.<br />

Second, the applications of the capability approach that involve a<br />

multidimensional metric of wellbeing or wellbeing freedom could<br />

use (most of) the weighing methods that have been discussed for<br />

multidimensional metrics in general. Koen Decancq <strong>and</strong> María Ana<br />

Lugo (2013) have reviewed eight different approaches to set weights<br />

for multidimensional metrics, which they categorize in three classes:<br />

data-driven weights in which the weights are a function of the<br />

distribution of the various dimensions in the population surveyed;<br />

normative approaches in which either experts decide on the weights,<br />

or the weights are equal or arbitrary; <strong>and</strong> hybrid weights that are in<br />

38 In the case of democratic theory, the discussion is often about which laws to<br />

implement, but the same insights apply to policy making. Both the literature on<br />

democratic theory (e.g. Dryzek 2000; Gutmann <strong>and</strong> Thompson 2004) <strong>and</strong> social<br />

choice theory (e.g. Arrow, Sen <strong>and</strong> Suzumura 2002, 2010; Sen 1999c, 2017; Gaertner<br />

2009) are vast <strong>and</strong> will not be further discussed here.

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