CHAPTER 3. RESEARCH DESIGN AND METHODOLOGY
3.2 C ASE STUDY METHODOLOGY
3.2.2 Selecting cases
case study research allows flexibility in research design. Evidence can be gathered from multiple sources and analysed so that the different sources either support or contradict each other, and hence may prompt further inquiry or confidence in the findings (Yin, 2009), while also producing context-‐dependent knowledge (Flyvbjerg, 2011). Flyvbjerg argues that case study method is important to researchers for two reasons:
“First, it is important for the development of a nuanced view of reality, including the view that human behaviour cannot be meaningfully understood as simply the rule-‐governed acts found at the lowest levels of the learning process, and in much theory. Second, cases are important for researchers’
own learning processes in developing the skills needed to do good research.”
(Flyvbjerg, 2011, p. 303)
Case studies are suitable for qualitative research, which seeks to include thorough accounts from a range of different actors. As Lewis notes, case studies “are used where no single perspective can provide a full account or explanation of the research issue, and where understanding needs to be holistic, comprehensive and contextualised” (Lewis, 2012, p.52). This thesis is interested in how innovations develop in local projects. Case study approach offers the opportunity to choose real-‐life, context-‐situated experiences for analysis, whilst also allowing the testing of theoretical statements relating to how grassroots innovations use and contribute to niche spaces (see for example Seyfang et al., 2013a).
3.2.2 Selecting cases
Case study research can include a variety of different types of cases and a different number of cases (Yin, 2009). Descriptive or representative cases usually explain cases of which there is little previous knowledge of, or descriptive illustrations of issues thought to be average or typical (Hakim, 2000, Yin, 2009). Homogenous cases give a detailed picture of a certain phenomenon and can be used to analyse “social processes in a specified context” (Ritchie et al., 2012, p.79). Heterogeneous, or maximum variation, cases involve cases which vary from each other, with an aim that common themes can be identified across the cases (Ritchie et al., 2012). Extreme or unique cases can be used in situations
where a specific, unusual or rare case occurs (Hakim, 2000, Yin, 2009), and these cases can be seen to be potentially enlightening about a certain phenomena (Ritchie et al., 2012).
Sampling based on intensity is similar to extreme cases, but “focuses on cases, which strongly represent the phenomena of interest, rather than unusual cases” (Ritchie et al., 2012, p.79). Critical or selective cases test a well-‐formulated and proposed theory, which the case is testing and if found valid, can be generalised to other non-‐critical cases (Hakim, 2000, Yin, 2009). Critical cases can test prevailing ideas and are designed so that they represent “experimental isolation of selected social factors or processes within a real-‐life context” (Hakim, 2000, p.60). Longitudinal cases follow certain cases over a period of time (Yin, 2009). As can be seen from the literature, the definitions of cases can vary somewhat between the different authors (e.g. Flyvbjerg, 2011, Hakim, 2000, Ritchie et al., 2012, Yin, 2009). The types of cases are summarised in Table 2 below.
Type of cases Description
Descriptive/representative/typical cases Explains a case of which there is little previous knowledge of, or describes illustrations of issues which are thought to be average and/or typical Homogenous cases Gives a detailed picture of a certain phenomenon Heterogeneous/maximum variation cases Cases which vary widely, with an aim to draw
common themes across cases Extreme/unique cases Specific, unusual or rare cases
Intensity cases Strongly represents a phenomenon of interest Critical/selective cases Tests a well-‐formulated and proposed theory Longitudinal cases Follows a certain case over a period of time
Table 2: Summary of types of cases (based on Flyvbjerg, 2011, Hakim, 2000, Ritchie et al., 2012, Yin, 2009)
One of the main aspects of case study design is to decide between a single or a multiple-‐
case design/collective case study (Stake, 2005) and what types of cases to select (Yin, 2009). Case selection can be based on theoretical considerations and some expectations of being able to draw theoretical outcomes from those cases (Flyvbjerg, 2011, Yin, 2009).
Flyvbjerg (2011) notes that strategic case selection is not set in stone, but cases can have different characteristics, for example a case can be extreme and critical at the same time, and while research proceeds and more is learnt about the case, the role of the case may
shift. Strategic case selection, where cases are representative of the parent population, and clear research methodology, can improve generalisation from a small sample size (Lewis and Ritchie, 2012). However, Yin argues that case study research should not aim for generalisability in the same way as quantitative, statistical research does, but rather aim for analytical generalisation, in which “the investigator is striving to generalise a particular set of results to some broader theory” (Yin, 2009, p.43). This thesis approaches generalisation carefully and follows Yin (2009) in a sense that the generalisation is reflected on the theoretical framework, noting also the following in relation to theoretical generalisation:
“It is our view that qualitative research studies can contribute to social theories where they have something to tell us about the underlying social processes and structures that form part of the context of, and the explanation for, individual behaviours or beliefs.” (Lewis and Ritchie, 2012, p.263)
In this thesis, case selection is based on information oriented-‐selection, so that “cases are selected on the basis of expectations about their information content” (Flyvbjerg, 2011, p.307) and they are expected to aid the analysis of micro-‐scale processes involved in local projects, especially in relation to learning, networking and sharing experience.
Furthermore, case selection is based on a multiple-‐case design and replication logic:
“Each case must be carefully selected so that it either (a) predicts similar results (a literal replication) or (b) predicts contrasting results but for anticipatable reasons (a theoretical replication).” (Yin, 2009, p.54)
The following theoretical considerations, which are key to this thesis, guide the case selection strategy:
• The thesis is interested in finding out how new innovations develop in local activities (see Chapter 2: Theoretical Framework).
• The theoretical assumptions are that local projects, which develop in niche spaces, involve the processes of (1) local contextualisation, (2) negotiation and engagement and (3) transferable lessons (see Chapter 2: Theoretical Framework).
• The processes evolving from the project are dynamic and interactive, in other words, they are neither static nor one-‐way. The niche space can support the development of local projects, whilst local projects can in turn feed experiences back to the global niche level, building it further (Geels and Deuten, 2006). This suggests a constant moving relationship between phenomena and context (Raven et al., 2008). One aspect to the thesis is to explore these relationships further.
Based on these assumptions, the following criteria were used for case selection in this thesis:
• An area of study, which involves local innovative activity. This is why community energy is interesting as a topic for this thesis. Community energy involves people at civil society level, who develop sustainable energy activities that have traditionally been an area for utilities.
• An area of study where local innovative activity is taking place in a niche space. As discussed in Chapter 2: Theoretical Framework, niches provide supportive infrastructures and intermediary activity, where networks of actors develop new path-‐breaking innovations and help shape the protective niche space further (Geels, 2002). Niches develop as sequences of innovative projects, which start to emerge and learn from previous experience within the field (Geels and Deuten, 2006). Niche innovations can be supported by intermediary actors, who perform activities such as providing information about funding opportunities, creating space for networking and developing best practice guidelines (Geels and Deuten, 2006).
• In order to analyse the development of community energy niches, two heterogeneous contexts were chosen, one with an apparently more established community energy niche, the UK, and another with a less established community energy niche, Finland. Furthermore, Finland has a different community energy context to the UK. The socio-‐technical energy system in Finland is localised and
based on municipal actors, while the UK system is more centralised. This provides an opportunity to identify potential central themes across individual community energy projects, which operate in those two different contexts.
• This DPhil is linked to the Community Innovation for Sustainable Energy (CISE) research project, which analyses the community energy sector in the UK. Given the recent rise in community energy activity in the UK, the UK provides an interesting context in which to analyse the development of such projects. Work within the CISE project, to which this DPhil research has also contributed, has identified that there is evidence of a global phase of a community energy niche in the UK, with a range of intermediary actors and networks operating in the field (Hargreaves et al., 2013, Seyfang et al., 2013a, Seyfang et al., 2013b).
• Finland has a much lower level of community energy activity than the UK. There is evidence of local projects emerging, however, active intermediation, networks and policy support remain limited (Heiskanen, 2010, Vehviläinen et al., 2010). Finland makes an interesting context to study community energy, especially given the country’s strong municipal culture compared to the UK (Käpylehto, 2011).
Furthermore, research in this area remains rather limited (Heiskanen, 2010), which subsequently provides also an opportunity to make a contribution to this area.
• In order to analyse civil society, local projects, it was important to adopt a research design, which would include empirical data collection with actual community energy projects. Key aspect of empirical research is the practicalities linked to research in the field (Yin, 2009). Choosing UK and Finland provided an opportunity to analyse the development of niche innovations in two different contexts. The researcher has lived in both countries and is fluent in English and Finnish language, which meant that it was possible to conduct in-‐depth case studies using native languages. This provided access to a potentially wider sample of literature and interviewees, as well as the opportunity to conduct in-‐depth interviews and analysis as cultural and linguistic cues could be taken into consideration.
Small-‐scale qualitative cross-‐national research can have the advantage that it allows the researcher to study certain phenomena “‘from inside’, in their cultural and social context, in actual local practices, and in people’s everyday life” (Gómez & Kuronen, 2011, p. 685), which can also be seen to address some of the criticism directed at previous SNM research regarding their lack of incorporating the role of social groups and every day life (Shove and Walker, 2007). Researching community energy projects in two different countries provided an opportunity for the identification of potential common typologies (Matthews and Ross, 2010) and narratives across multiple cases (Abbott, 1992). Furthermore, community energy was analysed in a cross-‐national context, i.e. the nations/countries were defined as geopolitical and socio-‐cultural entities (Hantrais, 2009), while also taking into consideration how these settings could produce differences in niche spaces, especially in relation to niche protection, learning processes and networking (Smith and Raven, 2012).
3.2.2.1 Unit of analysis
The primary unit of analysis in this thesis is a community energy project, allowing the analysis of local projects, while also providing material on how those projects interacted with global niche level actors, such as intermediary organisations (Geels and Deuten, 2006). Given the time and resource limitations of a DPhil research, two community energy projects in the UK and two in Finland were chosen for in-‐depth analysis.
Community energy project selection was started with the Finland context, as there are fewer community-‐led energy projects developed there. Projects were then chosen from the UK. Even though previous research has highlighted the diversity of community energy (Walker and Devine-‐Wright, 2008), in order to match the definition of community energy within this research, the following initial characteristics were also kept in mind:
sustainable energy projects addressing either heat or electricity generation or saving (such as renewable energy installations or energy efficiency measures), and projects, which
were developed and owned by groups of people who lived in the same locality (e.g. co-‐
operatives, voluntary resident’s associations or charities). Furthermore, the projects were chosen in relation to evidence of them having a vision (local contextualisation), involving engagement with stakeholders (negotiation processes) and whether there was evidence of learning and networking (transferable lessons). Table 3 below summarises these in more detail.
Process Explanation Empirical evidence
Innovation The project is innovative for example in the aspect of technology use or group organisation
Project uses technology which is new to the community Local
contextualisation Project is developed to fit its specific
local context, with a clear vision Project which uses existing technology but adapts it to its local setting
Negotiation and
engagement Project plan is adjusted in negotiation with the local community and
Transferable lessons Lessons from the project are translated and shared with other actors
Learning from project is shared by an intermediary organisation
Table 3: Processes linked to project development and niche building
The following section explains the more detailed individual community energy project selection for Finland and the UK.