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Using investment appraisal models in strategic negotiation: the cultural political economy of electricity generation Authors: Elizabeth Warren [email protected] University of Greenwich – lead contact Will Seal University of Loughborough Abstract: Building on the work of Miller (1991) and Miller & O’Leary (2007), the paper shows that the prescriptive calculative techniques of investment appraisal may be used as negotiating instruments in a regulated industry setting. The paper draws on cultural political economy (Jessop, 2013) and pragmatic constructivism (Nørreklit et al., 2006) to interpret and evaluate an empirical study of the UK electricity generating industry in terms of constructed imaginaries and actor-realities. Under pressure to change its technology to meet environmental demands on pollution, the generators raised the possibility of an investment hiatus leading to power cuts and black-outs. The papers shows that the normative model of investment appraisal plays a discoursal role as it frames the negotiations between the actors in a way that limits the apparent choices available to policymakers. In addition, the discourse of crisis associated with black outs hides a suspicion that the generators would, in their own terms, define crisis in terms of falling rates of profit or threats to private property rights. On its part, the UK state’s freedom of action is not only constrained by the discourse of investment appraisal but also limited by rules that restrict state action by members of the European Union (EU). . Key words: investment appraisal – electricity generation – environmental sustainability – power cuts 1 Introduction The political and economic setting for this paper concerns the type and timing of investment in new electricity generating plant. Although the fieldwork is based in the UK, much of the conceptual analysis could be applied in other geographical and political domains. Thus although the research methodology is applied to specific policy and business issues, the questions about investment decision making in such a strategically vital and environmentally sensitive industry are couched in quite general terms. How are investment decisions made and by whom? What are the values, logics, and facts that influence these decisions? Much of the literature on IA still conforms to the observation made by Northcott (1991) that ‘DCF concepts were born of the economic literature, and brought with them many of the basic premises of neo-classical theory’ (p. 221), with notions of economic efficiency and shareholder wealth maximisation. Mouck (2000:282) points out that capital investments involve complex decisions that are part of ‘actor / artefact networks, as well as the related opportunities for economic actions and are likely to be emergent phenomena that are generated by the interactions of actors’. In other words, decision making is a complex process that requires an understanding of those actors making the decisions. Although Bower (1972) stressed that there was a need to address the process of capital budgeting, there is little evidence that researchers have done so (Miller and O’Leary, 2007). Furthermore, Miller and O’Leary (2007) show that capital budgeting needs to be considered relative to complex managerial situations where capital budgeting practices can be used strategically as mediating tools. In this paper, we argue that particular models of investment, well known in accounting circles, are not passive calculative techniques as suggested by the normative literature of the textbooks. We argue that the investment models not only help actors construct their reality in a 2 complex and changing environment but are mobilised as negotiating instruments. This argument builds on and develops research that locates technical techniques within a wider social, economic and institutional setting (Bower, 1972; King, 1974; Miller, 1991; Miller & O’Leary, 2007). These economic and political settings are analysed through the mobilisation of two emerging theoretical and methodological strands; cultural political economy (Jessop, 2013) and pragmatic constructivism (Nørreklit et al., 2006; Nørreklit, 2011). The normative literature on IA in the textbooks assumes certain taken for granted values such as shareholder wealth maximisation, which in a privatised power industry of the form found in the UK seems quite plausible. Yet paradoxically, one of the key aspects to realise about the UK industry is that despite some “local” sounding names, such as Scottish Power 1 , the ownership of the main generators is located outside the UK. Even more paradoxically, the home bases of some of these electricity generators are located in states where electricity generators are either partially or totally publically owned. For some of these generators their home base not only provides them with commercial security irrespective of outcomes in the UK, it also means they need not share in the UK’s political, economic and ideological positions. In addition, the main environmental regulations are imposed by either supra-national organisations such as the European Union or international protocols covering commitments on issues such as carbon emissions. Thus, key players are located in different states with different political and economic relationships (Jessop, 2002). Different national contexts can impact on the perceived relationship between the economy on the one hand and science and technology on the other. For example, do values derived from economic goals drive choice of technology, or are non-economic arguments, such as national objectives to develop a particular scientific/technological capability, primary motivators? The 3 differences in the values, logics and facts will be elaborated below, as each player’s stance towards proposed investments in electricity generation is set out in some detail. As will be demonstrated, although the initial stances of the generators, the government and the regulators may vary, a shared language can be found in the concepts and practices of IA. Furthermore, given that an understanding of capital budgeting and discounted cash flow (DCF) models among the players, economic investment models lie at the heart of negotiations and game playing between generators, regulators and policy makers (Hoffmann, 2007). It will be argued that the shared language and logics of IA play a discoursal role for, as Hall put it, discourses ‘do not just describe things; they do things’ (2001, p. 72). Since the objective of this paper is to understand investment appraisal in complex organizational settings, this study draws on Miller (1991) and Miller and O’Leary (2007) as key sources on capital budgeting/IA. Miller and O’Leary (2007) argue that capital budgeting is not only about evaluation techniques by showing that capital budgeting can link the plans of companies in the same industry and bridge the gap between science and economy. Miller’s (1991) paper is also valuable in that it defines the key actors to be discussed on this paper, firms and governments, in a way that is both insightful and consistent with our methodological and theoretical positions. Miller defines the firm as a dispersed social agency, which is a ‘site or point of intersection of quite disparate social mechanisms and calculating practices including legal conditions, financial strategies and distinct processes of labour’ (1991, p.736). He sees a notion of government, that ‘directs attention in particular toward programmatic statements, claims and prescriptions that set out the objects and objectives of government and to the technologies’ where ‘the wide range of calculations, procedures and mechanisms that help to operationalise certain abstract objectives’ (1991, p. 736). 4 This paper offers two main sources of conceptual novelty for the analysis of investment decision making. A first source of novelty lies in a theoretical framework based on cultural political economy (Jessop, 2013). Cultural political economy (CPE) combines economic and political relations with a semiotic dimension, arguing that ‘all social phenomena have semiotic and material properties’ (Jessop, 2013, p. 3). Because the world is immensely complex, actors have to be selective about which features they attach meaning to. In the economic sphere, practitioners draw on economic imaginaries, which are semiotic ensembles ‘which identify, privilege, and seek to stabilize some economic activities from the totality of economic relations’ (Jessop, 2013, p. 4). In the specific context of this paper, the key economic imaginary is the IA model that privileges particular projected aspects of economic activity such as cash flows, risks and discount rates. Yet the concept of the imaginary need not be confined to the economic sphere. For example, environmental regulators also draw on imaginaries, although these are more likely to be based on non-economic values and logics that derived from environmental discourse. Yet even the environmental debate has seen an increasing influence of the IA discourse as is shown by current debates on the “correct” long term discount rates (Arrow, et 2012). One of the benefits of the CPE framework is that not only does it reveals the implicit assumptions that underly the conventional investment models, but it also enables a broader perspective on the notion of crisis. As will be elaborated later, crises play a crucial role in inducing changes in imaginaries. But what is a crisis in the context of electricity generation? To many, the possibility of electricity outages/blackouts would constitute a crisis. Yet blackouts have occurred in the USA without leading to significant changes in the ownership or mode of electricity production. In a CPE framework, it is possible to define crises through the criteria of 5 political economy whereby crisis is perceived by capitalists not in terms of blackouts but in terms of threats to private ownership and/or falling rates of profit. The second source of conceptual novelty in the paper lies in the application of pragmatic constructivism (Nørreklit et al., 2006) and practical validity (Nørreklit, 2011) in order to both elaborate and evaluate the imaginaries of the key players. For example, an imaginary is adjudged to be practically valid if it is based on reality rather than on illusions and offers a way of testing the specific negotiating positions of the main players. The concept of practical validity is intimately related to a view of reality based on pragmatic constructivism (PC). In PC, reality is constructed by actors through the integration of a number of different elements: facts, values, logics and communications (Nørreklit et al., 2006; Jakobsen, 2011). With a PC view of reality, imaginaries would be adjudged to be invalid if actors fail to construct individual elements such as facts, which are seen as a relationship between the actor and the world (Nørreklit, 2011) and/or a failure to integrate the four dimensions of reality. In this methodology, economic imaginaries such as DCF offer a way of constructing reality as they offer a particular way of constructing facts, mobilising values, and linking these elements using particular logics and particular types of communication. Yet the approach recognises that some of the facts in the industry, particularly those relating to technology and the environment, have an element of ‘brutality’ (Searle, 1995) that would be hard to reconcile with extreme versions of social construction (Nørreklit, et al., 2006; Fairclough, 2005). As will be shown, the facts facing the actors in the electricity generation industry are affected by how they interact with ‘things’ through other dimensions of their reality, such as possibilities, values and communication. The methodological and theoretical framework discussed is deployed to interpret an original field study on the impact of a revised environmental regulation, the Large Combustion Plant 6 Directive (LCPD), on the UK electricity generation industry. The theoretical framework shows how IA techniques helped to construct a future “reality” of black outs and power cuts caused by a failure to invest in new generating capacity. In short, investment models became rhetorical devices used strategically by the generators to change the policy of the UK government by demanding a reduction in risk through clearer guidance of preferred future technology and movements towards guaranteed prices for electricity, in some cases. The paper is organised as follows. The next section draws selectively on capital budgeting literature, with special reference to the electricity generation industry and develops the methodological and theoretical foundation of the paper. The third section introduces the regulatory and policy setting for investment decision making and negotiation processes and interprets these processes in light of original fieldwork. Section four develops some broader propositions on the role of capital budgeting practices in the complex negotiating scenario of electricity generation. 2. Conceptualising capital budgeting as a negotiating instrument: cultural political economy and pragmatic constructivism Although the goals of the regulators (reducing pollution) and the government (security of supply) are largely expressed in physical and scientific terms, the chosen mode of regulatory and policy intervention is mostly economic, involving manipulation of prices for electricity and carbon (Hoffmann, 2007). In this regulatory context, the actual techniques of investment appraisal, such as DCF and real options, are relevant, not because they necessarily determine the final decisions on when, where and how to invest, but because they are understood and accepted by all the parties involved in negotiations as key regulatory decisions affecting future pricing. A decision 7 to invest in an existing or new power plant within the UK electricity generation industry requires a long term assessment of known and uncertain costs and the risks related to such investment (Safarzynska & Van den Bergh, 2011). Because of the mutual acceptance of well-known investment calculations and logics, all parties to the negotiations are able to construct a view of the future in which electricity prices become key inputs into the calculation process. As Pfeiffer and Schneider (2010, p.1) put it, the process of capital budgeting “defines a set of rules to govern the way in which managers at different levels of the hierarchy produce and share information about investment projects”. These rules can be extended to incorporate the communication process within the organisational field of the electricity industry, which includes the regulators and government ministries and private generators. Cultural political economy: investment appraisal models as economic imaginaries In order to develop the negotiating role of IA, a specific theoretical framework is necessary to facilitate exploration of the dynamic relations between the various players. In particular, given that the investment outcomes in the industry are partly the result of negotiations between generators, regulators and government, the rhetorical devices deployed need to be understood. Thus, in this paper, we explicitly accommodate the discoursal view by emphasising a cultural version of political economy. As Jessop (2013) explains, the term cultural political economy (CPE) does not imply a three dimensional view of politics, economics and culture but rather a combination of the material and the semiotic. In the history of ideas, the term political economy usually implies a specific perspective on both politics and economics and is associated with classical rather neoclassical versions of economic theory (Blaug, 1997). There have been several examples of the application of political 8 economy in the accounting literature, for example see Cooper and Scherer (1984). Although a classical political economy is usually associated with economic determinism, the CPE has emerged in recent years as a more nuanced version, acknowledging the power of discourse and the social construction of economic relations (Jessop, 2002; 2013; Fairclough, 2006). Focusing on ontology, CPE embodies the view that since the world is so complex, social agents ‘must reduce complexity by selectively attributing meaning to some of its features rather than others…’ (Jessop,2013:3) These agents draw on what Jessop (2013) terms imaginaries. An imaginary is ‘a semiotic ensemble (without tightly defined boundaries) that frames individual subjects’ lived experience of an inordinately complex world and/or guides collective calculation about that world’ (Jessop, 2013, P4). Imaginaries may have different applications; for example, in our paper, the generators are particularly concerned with economic imaginaries. Jessop explains economic imaginaries as follows: Economic imaginaries have a crucial constitutive role here insofar as they identify, privilege, and seek to stabilise some economic activities from the totality of economic relations. They give meaning and shape thereby to the ‘economic’ field but are always selectively defined. As such they typically exclude elements – usually unintentionally – vital to the overall performance of the subset of economic (and extra-economic) relations that have been identified (2013, p.4). Other actors in the industry who may influence investment decisions, will also draw on imaginaries but may not place the same emphasis on the economic. For example, environmental regulators place more emphasis on science and technology, whilst governments emphasise political dimensions. Given the global nature of the generating industry, we may expect to see geographical diversity influencing the generators, as they may have a different political imaginary from the UK’s post-privatisation focus on market solutions. A particular strength of CPE is that it offers a way of explaining the variation, selection and retention of particular imaginaries. Crises play an important role as they loosen sedimentary social relations, leading to 9 semiotic variety and the possibility of novel solutions. Jessop (2013) focuses on the post-2008 world financial crisis, but similar effects can be found with crises induced by natural disasters, such as earthquakes. For example, the Tsunami in Japan not created a Japanese policy debate towards nuclear power, but this also made an impact in the UK. The UK reconsidered its policy on nuclear following the Tsunami disaster but has since decided to continue supporting technology in this area (World-Nuclear, 2013) . Elaborating the ontological framework of CPE with pragmatic constructivism Although the CPE is underpinned by an ontological paradigm (Jessop, 2013), we contend that that this requires further elaboration. In particular, that a more fine-grained perspective could help to unpack the various imaginaries deployed in industry negotiations, thereby revealing their values, logic, facts and communication modes. In particular, we wish to develop an approach that will elaborate on the link between science and economy (Miller and O’Leary, 2007). Finally, we seek to develop conceptual approaches that can be used to evaluate the imaginaries of the various agents and understand the public policy complexities. To address these goals we draw on the ontology of PC (Nørreklit et al., 2006; Nørreklit, 2011). PC does not focus on one aspect of individual or organisational life, such as calculation or communication, but rather argues for an integration of ‘four dimensions – fact, logic, value and communication – each of which is a necessary source of reality’ (Nørreklit et al., 2006, p. 43). In the PC framework some facts are what Searle (1995) would characterise as ‘brute facts’, which exist independent of human consciousness. In an electricity generating context, existing power plants are the result of human construction and ingenuity, based on the principles of physics and chemistry and subject to physical forces. Yet other facts such as money, economic value and 10 profit are more usually at the forefront in social or institutional constructions (Searle, 1995; Nørreklit, et al. 2006). Many facts can be defined by their possibilities or logic, the second dimension. Although possibilities are grounded in facts, “all matters of fact are loaded with possibilities ... the nature of everything is determined by possibilities and impossibilities that are integrated in things … a door that cannot be opened, because in reality it is part of the wall … is no real door” (Nørreklit, 2011, p. 27). The PC framework sees managers and other organisational members as reflexive actors, constantly monitoring both existing and alternative practices. In short, considering different possibilities. As Nørreklit (2011, p. 25) explains, possibilities are ‘constructs of something that does not presently exist based on something that does exist … (T)o construct possibilities, one must perform logical operations’. Since actors need to be motivated, a third dimension of reality is values. Unlike in neoclassical economic theory, the PC approach does not assume a particular universalist set of individualist or self-seeking values. Since values are a person’s motivating force, Nørreklit et al. (2006, p. 47) argue that ‘if the world does not appeal to the values of a person, that person becomes passive’ and ‘managers should recognise and respect the values of employees in order to strongly motivate them’. If managers and or employees are self-seeking and individualistic, this may be because wider cultural values encourage such attitudes. As will be argued later, the logic and values of business actors are not constructs devised by academic economists, but rather characterise popular culture in capitalist societies. The final dimension of reality is communication. Communication plays a unique role in management control, integrating the other dimensions, as it ‘formats the organisation as a common space of meaning’ (Nørreklit, 2011, p. 30). Communication is far more than just a simple exchange of information solely composed of facts. It not only helps to construct 11 alternative dimensions of reality but also to integrate them via organisational and institutional arguments or rhetorics, known in PC as topoi2. Topoi concerns the arguments deployed by actors in specific organisational and institutional settings. There is an implicit concern in PC that actors base their decisions and actions on a reality composed of valid individual dimensions and an overall integration of the various dimensions of reality, to avoid delusions, illusions, fantasies and fictions (Nørreklit et al., 2006; Nørreklit, 2011). This PC framework (see figure 1) is used in this paper to analyse how managers construct their reality and develop the concept of a management control topoi, in an attempt to integrate the four dimensions. If integration is successful then managerial actions are based on the concept of practical validity (Nørreklit, 2011). If the integration between the dimensions is faulty, or if one or more of the dimensions are faulty, then actions are based on illusions (Nørreklit, 2011). In this paper, the PC framework is used to analyse and decompose the arguments of the main players in the electricity generating industry to reveal their foundation in values, logic, facts and communication modes. Given that the agents involved in negotiations will claim their arguments are factually based, a further use of PC is to explore the notion of facts. In PC, facts are not the same as things, but are based on the relationship between actors and the world, and so ‘loaded with possibilities’ (Nørreklit, 2011, p. 27); i.e. a door is defined by the property that it opens - a door that cannot open is not really a door. The third use of PC is to show that although the financial IA model is clearly founded in the logic/possibility dimension, it not only draws on values and facts, but also has a communicative element that helps to construct the actors’ reality. Facts Logics/ possibilities 12 Actors’ reality Communication Values Figure 1 Pragmatic constructivism and actors’ reality (adapted from Nørreklit et al., 2006) 3. Investment and regulatory pressures: some evidence from the UK electricity industry Electricity is a fundamental part of our daily lives. It lights our homes and streets, keeps our schools and hospitals running, and powers our businesses. That’s why it is so important that the electricity market works effectively (DECC, White Paper, 2011). We need £200 billion of new investment to replace outdated stock, or the lights will go off (Charles Hendry, Minister of State, 21st October, 2010). Since the market was privatised in the 1980s the system has worked: delivering secure and affordable electricity for the UK. But it cannot meet the challenges of the future” (The Rt. Hon. Chris Huhne MP, cited within DECC, 2011). The global power market…… may be described as an odyssey, an epic journey into the unknown. Certainly, the pace of change continues to gather speed, with new products, markets, problems and solutions appearing almost daily, making it virtually impossible to predict with any real accuracy what form the power market will hold even a year hence” (Applyard, 2001, p. 1). 13 These four quotations reflect both implicit and explicit assumptions that will be considered in this study; arguing that electricity generation is vital; that huge uncertainties surround future generation; that new investments will be made in a private market context; and, that although electricity supply problems are regarded as local issues to be resolved by national governments, the main electricity generators are multinational giants who view markets in global rather than national terms. However, these quotations do not cover an additional, crucial element of the current electricity generation context; that is, its centrality to international concerns and debates about pollution, climate change and energy sustainability. In addition, the transition of the UK electricity generation market to one which is sustainable is inconceivable without some considerable restructuring of the market (Safarzynska & Van den Bergh, 2011). In short, issues of regulation and sustainability3 are central to any understanding of investment in electricity generation in the twenty first century (Hoffmann, 2007). This section begins by briefly outlining the process of the fieldwork and then the economic and political background of the UK electricity industry. The inclusion of this background material is important as it enables an understanding of the special role of IA practices in a privately owned but highly regulated industry. It is then argued that, given the regulatory environment, IA practices have become implicated not just in mediation within and between organisations (Miller & O’Leary, 2007), but also in negotiations conducted between the industry and the regulators. The focus then turns to how the generators have responded to these environmental regulations and how the regulations have shaped their investment plans. Fieldwork and interview evidence 14 The case study fieldwork is based on the investment decision making processes applied to the UK electricity generation industry, focusing on the impact of the LCPD. Hussey and Hussey (1997:65) argue that a case study is “an examination of a single instance of a phenomenon of interest”, which in this study was the impact of the LCPD on investment decisions. This case study was longitudinal in nature and across the six years 4 many different organisations were consulted as part of the analysis (including five of the big six generators), but their individual aims are not examined in detail, as it is the combination of information from the different sources, as it pertains to the industry as a whole, that is relevant to this analysis. The narratives of the actors were collected using semi-structured interviews, which were audiotaped and transcribed. The interviews included generators, regulators, financial analysts and consultants. By incorporating the views of all the stakeholders it is possible to represent the reality of all those involved in the decision making process, rather than being limited to one actor’s interpretation. The shareholders and political influences that sat outside the main framework were analysed using documentation such as shareholder reports and White Papers. In addition their views were also collected by attending industry conferences where the government ministers, CEOs of the generators and regulators would debate future policy and needs. Evolving industry and regulatory imaginaries: from privatisation through to regulated oligopoly Power stations have very long lives, and so the assets within the industry have survived many changes in government with much of the generating capacity originating from the preprivatisation era. After privatisation in 1990, there have been significant changes in the market 15 structure and the regulatory focus within the UK electricity industry. The privatisation of the electricity industry was expected to provide a competitive marketplace. Immediately after privatisation, the electricity industry was highly concentrated; the market was shared between three major generators of electricity: National Power, Powergen and Nuclear Electric (Dnes et al, 1989). Yet, in the first eleven years after privatisation, the industry witnessed an influx of new international companies, so that by 2001, the market structure of the electricity industry had changed dramatically. There were in excess of 40 generators, a power pool replacement model known as the New Electricity Trading Agreements (NETA), and full retail competition. Following the introduction of NETA, market competition became very intense; principally because the industry had a full open market with too much capacity. Electricity prices dropped and the market became saturated causing the smaller players either dropped out of the industry or in many cases became bankrupt. By 2011/12, the six large electricity generation companies owned 71.3% of the UK’s generation capacity (Seris, 2012), competition had reduced significantly. The main ten owners can be seen in, figure 2, which reveals that only three of the ten are UK owned companies, a drop from 6 in 2006 (the beginning of this study). The report by Series (2012) also documents that 19.9% of the sector is owned by governments within the EU, other than the UK. 16 Figure 2 - The big ten UK electricity generating companies (measuring MW along the horizontal axis.) The UK government maintained a regulatory structure through the office of gas and electricity markets (OFGEM) that recognised the centrality of the electricity generation/supply and the possibility for monopoly abuse in a privatised utility. In addition to the regulation concerned with economic issues, the industry was also subject to international regulation of pollution and carbon production. Although the main regulatory context of this paper is the revised LCPD directive, which was introduced in order to reduce Nitrogen (NO2), sulphur dioxide (SO2) and particulates, other regulatory efforts (related to concerns about carbon emissions and their possible impact on global warming) have played a part in the resulting crisis outcome. In Europe, the EU has implemented an EU European Emission Trading scheme, which all the electricity industries across Europe are subject to. The aim of this carbon trading scheme is to reduce Carbon Dioxide (CO²) emissions and encourage low carbon investments. The recent history of the industry is presented schematically in figure 3. As noted in figure 3, DCF was, at 17 least symbolically (Miller, 1991) an element in the industry investment imaginary prior to privatisation. However, other values and logics based on engineering, employment and politics had a greater impact on the timing, technology and location of new generating capacity. Figure 3. Schematic history of the main players in the UK electricity generation industry The impact of the LCPD The LCPD in the UK was part of the Pollution Prevention Control (PPC) application. In the UK, if a generator does not have PPC consent then they cannot continue in business5. The introduction of a revised LCPD in the mid-2000s presented generators with an invaluable opportunity to use their engineering knowledge to influence a new regulatory framework that would have a direct impact on investment decisions. The engineers are more knowledgeable about the technical aspects of the industry than the regulators, and this meant their expertise was needed to help construct new processes. 18 During the time frame that the LCPD was being revised and implemented in the UK, the government’s focus was concentrated on making stronger environmental commitments, with less concern for security of supply 6 . The government argued that the market would resolve any investment problems and were assured by the regulators’ reports at that time that they did not envisage any future supply problems. By 2006, there was confusion within the industry relating to how the LCPD would be implemented and also about the direction of the future energy policy. Although there were new sanctions in place for those generators that failed to comply with the LCPD there were no supporting frameworks or procedures in place to assist investment decisions. In short, the UK government hoped to achieve security of supply and meet environmental protection targets, whilst maintaining an ideological commitment to a privatised industry with a commitment that investment must be market led. With reference to these conflicting pressures, the field data collected from the generators shows how the practices and processes of IA lay at the heart of negotiations between the generators, the government and the regulators. Figure 4 shows the relationship between the regulators, governments, generators and other industry players such as consultants. 19 Figure 4 – Relationships between regulators and the main industry players Analysing the LCPD: a head office perspective Whilst the regulators and government were discussing the future of the industry the directive itself was communicated to the generators through forums such as the JEP and the Association of Electricity Producers (AEP). In addition the forthcoming directive was discussed in various publications7. Before any discussions took place between the regulators and the generators, the actors working for the generators familiarised themselves with the detail of the directive. All the interviewees agreed that this was the first step in the process, and a Business Service Director stated: As soon as something like this is started …you read it quickly. It appears in bulletins there are various legal firms who send out monthly bulletins on environmental matters. There’s the Eng report . . . usually is quite a good hands on what’s emerging from Europe etcetera. The AEP are active, and of course the people on the AEP are all separately talking to Brussels and Westminster and others and they’ll very quickly send a note out to say - blooming heck there’s something coming down the line called the LCPD. 20 The revised LCPD resulted in a number of future investment possibilities, including; investing in Flue Gas Desulphurisation (FGD) technology to reduce the pollution of existing plants (this would be opting into the directive) or the generators would have to opt out of the directive and could build a new plant with new technology that was compatible with green policy. The revised directive resulted in the generators having a strategic interest in the development of the new regulatory framework, because this could change the nature of their organisation. The regulators and generators analysed the new directive to understand how they could take the LCPD and make it workable within the UK. As an Environmental Planning Manager explained: A joint forum was created with the Environment Agency to make sure there’s a common understanding from both sides as to what the implications would be for regulations. From our point of view - and to also understand what’s required from the Environment Agency’s point of view - to actually make sure they meet due diligence to make sure the requirements are met. During the consultation period, the rules were created through discussions with shareholders, regulators, professional bodies and other governments specified environmental emissions targets, such as Renewables Obligation (RO), LCPD, PPC and EU ETS. One Environmental Manager noted: We had meetings with Defra and meetings with the EA through our JEP forum. We literally sat round a table and, you know, the EA tried to understand it as well. What does it mean when it says that you will actually meet this limit on sulphur? But you have this option to do it in a slightly different way. What does it mean? What are these type scales on monitoring? How can we interpret that in terms of something the EA can transform into a permit that we can actually carry out? Although the generators and regulators were conversing, these conversations did not necessarily imply that regulatory capture took place; there were many disagreements and in one 21 case a legal disagreement. The regulators recognised that they could benefit from the generators’ technical knowledge, and for their part, the generators chose to be engaged in the regulatory debate for their own strategic reasons. Overall, it was regarded as standard practice for the industry to work alongside the regulators because the conflict and disagreements could disrupt the policy making if there was not a certain level of agreement (Sarasini, 2013). In addition to the associations mentioned earlier, Defra established an LCPD stakeholders’ group encouraging all who were interested to engage in forums. Those involved on the operational side of the business then received information based on the LCPD once an investment decision had been made. The generators were aware that they were being asked to make large investment decisions that would affect their future portfolio. They also recognised that any proposals would have long lead times, because investigating suitable technologies takes considerable time. In January 2006, the generators had no other option than to start preparing business plans relating to future investment, whilst the details were still been debated about the revised directive. It needs to be noted at this point that business proposals were not minor investments, the investments to install equipment like FGD would cost in the region of £210million for 1700MW (this would have a limited life span) and a typical new plant investment would take up to five years of planning (2 years to reach consent of section 368 and an addition three years to construct) costing on average £600milion for 1000MW (interview: Regional manager). 22 Analysing the directive at an individual company and site level Although the first part of the process was to understand the meaning and the content of the new directive, the next step, as a Site Manager stated, was to understand the impact of the LCPD on individual sites: On a local level you need to think about how this relates to specific installations . . . how it relates to perhaps those wider guidance documents that exist. I mean we did a lot of reading of the regs . . . because not only do we have to make decisions when applying for the permits, but we need to talk to the operators . . . because there is a huge chunk of people left out of that dialogue. The need for a detailed understanding of the directive led individual generators to lobby the UK government for an appropriate framework on which to base the decision-making process. Lobbying was an essential way to protect the future of individual power plants, given that each generator had their own technical and future portfolio requirements. Working alongside the regulator allowed each generator to understand the requirements of the directive; however, every individual wanted a secure workable framework to match their own plant needs, and maintain or establish their competitive positions within the market. As an Environmental Planning Manager explained: We’re always looking over the horizon . . . one of my jobs is to make sure we’re aware of what’s coming up, and we have a good input in through the various avenues. We have the government and the regulators and try to influence the way - for example in this case the regulations through the PPC Act were going to be framed to make sure the LCPD needs were met. It was clear that the revised LCPD would impact each site is different ways because the age of each plant was different, as one Environment Head explained: 23 Different generators were looking at different types of investments - we were looking at the long term because our plant was not due to shut down until 2030; however, some of the others were due to shut down around 2016, they had short term investments to make. The short term and long term decisions would have been much easier if there had been a clear and practical national policy; this would have created more certainty within the industry, and would have led to secure investment, by sending clear signalling as to the pricing curves used in the investment models. With a clearer policy generators would have been able to establish whether they would be better placed investing in updates on current assets or to build new plants that would conform to future policy expectations. Therefore, although it was the introduction of the revised LCPD that was the focus of the IA modelling, the modelling was incomplete because of the missing definitions within the LCPD and the lack of coherent future energy policy. As one Station Manager said: We were trying to get a good indication from the Government on what was going to be policy, going forward, you know you need them when you’re investing for thirty years and spending hundreds of millions on them, yeah. There was no clear economic signals from the Government and when you actually looked at FGDat Plant B at the time it was marginal whether it . . . it paid for itself or not. So it was hard, hard to determine whether you’re making the right business decision, for the shareholders. Adding to this, an Environmental Manager stated: You know you’re not going to be making an investment if you’re not getting a return on that investment . . . there are a number of factors that need to be taken into account. But effectively an IA would be made on the technology that’s required to meet the particular limit, and if it didn’t come up . . . you know if it didn’t meet the required rate then you know it’s unlikely to go forward. The dominance of the IA imaginary in business planning for the LCPD The actors recognised that the rate of return is essential for informing decision making. Indeed, the interviews revealed that the language of the normative IA literature was also the natural 24 language (Arbnor & Bjerke, 2009) of the industry players. When first questioned about how decisions to opt in or out of the LCPD were made, all the interviewees referenced the same objectives and logics. The use of terms such as ‘rates of return’, ‘hurdle rate’, ‘NPV’, ‘investment appraisal’ and ‘scenario analysis’ were all embedded within the accepted ‘values’ of the business. When discussing financial objectives, financial terms were the accepted language, irrespective of whether the researcher was talking with engineers, environmental managers or the regulators. Indeed, the basic financial terminology of IA was firmly established in combination with the knowledge of how investments would be funded and the effect of risk on required return. Each interviewee used the rate of return to justify whether an investment would be accepted or rejected, thereby demonstrating that a shift from early post privatisation to mature privatisation has taken place. Most of the interviewees were familiar with their own company rate, although most were unable to provide the researcher with the information. Although the generators used well known IA techniques, these were located within complex business plan models, designed to capture the impact of the regulatory changes. As a Business Services Director stated: The energy management team have quite sophisticated planning models, they don’t just do cash–flow analysis . . . they model a portfolio and the impact of emissions legislations etcetera . . . The use of such complex models meant that regulatory changes were perceived to alter the viability of investments. As a Business Services Manager put it: For a long time it looked like the FDG, for example, for the LCPD was not an investment we wanted to make . . . but quite interestingly the rules on carbon changed and that’s what swung the pendulum back in favour of the investment . . . at the last second we decided to opt in. A guy suddenly realised that the changes made the models go from red to black.(emphasis added). 25 The Business model united multiple frames of reference: finance, regulation and energy policies as well as the missing data, on which assumptions were made. From the interviews, it was apparent that the IA process was actually the central focus when discussing all the information from the different specialists. All the data provided from the engineers, environmental specialists, traders, risk specialists and legal specialists could be translated into numbers that everyone could understand. An Environmental Manager commented that: When we put together a board paper . . . they don’t necessarily crawl over the model. I guess when we put together a board paper we hand it to them . . . they look at the numbers and satisfy themselves that this is an accurate reflection of what’s required - not from a technical perspective just from, from purely economic model and numbers have been fed in there. So on any board paper we would say we’ve run this past insurance, we’ve run this past risk, we’ve run this past finance and they’ve all signed onto this as a business case model. Investment decisions should be understood to be not based purely on the required rates of return of a particular plant in isolation; there is always a reference to the future of the company’s international portfolio, i.e. future models are not solely UK based. As a Business Services Director noted: The LCPD was a strategic investment and it was presented as such. It was fundamentally about the future of our company. . . it was about cutting off our right arm or keeping it sowed on. So all the strategic issues were presented, but behind that of course comes the financial analysis and all the comparison of different options and risks and issues. But, it was very much about working in a business . . . what do we want to be? Do we want to be in or out and save £2009 million pounds and invest that elsewhere? A Station Manager added: I think the primary drivers are always profit and as part of that, you have, you have policies - so for example, one of our key strategic drivers is to be a largest renewable company in the world. Our organisation invests heavily in renewables around the world because it believes strategically it’s the market to be in, it’s the growth industry. The comments from both the Business Service Director and the Station Manager show that although investment decisions were obviously related to making profit for the shareholders, there 26 were also wider considerations based on the values and global positioning of the parent company. The process of the decision making was complete by 2008 with all the LCPD investment decisions decided (see table 1 for plants who opted out of the directive), and the result was that more plants were marked for closure than to remain open and invest in FGD to achieve the environmental targets. As the decisions were made and the opted out plants started to run their 20,000hr operational allowance it was apparent that many were using their operating hours hard and fast to reduce the fixed costs associated with generation. Company TEC MW Comment Ironbridge EON 964 Converting 485 MW to biomass Kingsnorth EON 1966 TEC withdrawn 3/2012 Didcot A RWE 1558 Closed March 2013* Tilbury RWE 810 Ceases Q2 2013 Bio-refit? Ferrybridge 1&2 SSE 994 Cockenzie Iberdrola 551 TEC withdrawn 3/2013 Grain EON 1355 Closed 31/12/2012* Fawley RWE 940 Closed 31/3/2013* Littlebrook RWE 1245 Reduction to 800 MW at 3/2013 COAL: Oil: Source: Ofgem (2012) with updates* from www.RWE.com and www.eon.com Table 1. Opted out plant at September 2013 27 Table 1 provides the evidence that many of the opted out plants were shutting before the anticipated 2015, exacerbating the strain on the security of supply. The earlier closure of many plants, through the revised LCPD, along with the 2011 White Paper indicated a renewed interest in the security of supply issue. At the end of the decade, the government finally announced that it had come to accept that the industry as a whole required major changes and that the former arm’s length approach had failed to deliver expected levels of investment. As Helm put it: It’s an extraordinary volte-face to admit that a liberalised market won’t achieve its objectives. They have argued against intervention and said markets would engage with the issue of security of supply. The Irony is incredible (Helm as cited in Webb, 2010:1). Although the electricity generators had been flagging up problems associated with providing a security of supply since 2006, the government ignored their concerns. With no sanctions to insure a reliable electricity supply, and because the government insisted that investment would be market led, the generators felt no moral obligation to protect supply. In their view, the generators were not to blame as they had been pushing for a full consultation on security of supply matters from the outset of the debate. However, the generators were clear that ‘security of supply’ was tied to guaranteed profitability based on a return to capacity payments, which would increase their profits and provide more protection over their investments. The bulk of electricity generation in the UK was provided by large international companies who were experienced and knowledgeable about regulatory systems around the world. They were able to compare regulatory systems and by identifying the uncertainties present in each system, and modelling investments they were able to expose the problems within each system. 28 Summarising and evaluating the actors’ imaginaries In order to summarise and evaluate the actors’ imaginaries, we deployed the PC framework as illustrated in figure 1. This framework provides a convenient template with which to review the positions of the actors, or their topoi, as termed in the PC literature. In our use of the PC/CPE frameworks, we treat the concepts of topoi and the imaginary as interchangeable. The concept of the imaginary may be a purely descriptive one, but the application of the PC framework introduces a more evaluative dimension based on criterion of practical validity (Nørreklit, 2011). In this section the actors are represented by their topoi, which characterise their rhetorical stance (Nørreklit, 2011, Nørreklit et al., 2006). The generators topoi are shown in figure 4. Their view of reality is multi-dimensional, and so not as simplistic as suggested by figure 1. They are profit making or wealth maximising, but also take into account an international strategic position that is often affected by their country of origin, which they typically view as their core market. They also have strong engineering traditions, which may lead to a conflict between profit making and engineering excellence. These factors lead to a paradoxical situation that although the IA models featured very strongly in the language of negotiation with the regulators, they were not necessarily decisive in guiding actual investment decisions in which the wider values and goals of the organisation played a significant role. One example of this is Iberdrola Renewable who aim to be the largest renewable company in the world, on their web site they state: IBERDROLA, S.A. is Spain’s number one energy group and the fourth largest utility company in the world by market cap. A company with a 107-year history and roots in hydroelectric power, IBERDROLA, S.A. employs over 33,000 people in more than 40 countries and has placed the environment and sustainable development at the center of its global strategy.” (www.iberdrolarenewables.us) 29 Although the narratives in the published documents could simply be the public mantra of the board of directors, many of the employees of this company who were interviewed supported the claim that sustainable development was part of their wider values and did indeed have a significant role to play when making these decisions. For example, the statement on page 25 (by the business services director) and 26 (a station manager) were both made by employees who worked for Iberdrola. The Head of Environment added: At the end of the day it’s really a gut feeling I think . . . as to whether a particular station wishes to be in the market and I think you can do as much of a dance as you like but unless you’ve got the confidence that, that, plant is going to run long term or for as long as you need it to run, then you’re going to come with a little decision. So I’m not sure it’s always going to be a pure NPV today, it’s always a big question of well what’s the gut feeling? Figure 5 The generators topoi 30 The government’s topoi is shown in figure 5. Their view of reality is multi-dimensional but there is a lack of integration between the various dimensions leading to elements of illusion. In particular, the government underestimated the ability of international suppliers to “sit on their hands” when faced with immense technological and input price uncertainties; such that the guaranteed output price does not offer them returns that are high enough to warrant new investment. . Figure 6 The UK government’s topoi Conflicting goals and regulatory impotence The motives of the two main regulatory bodies were deeply contradictory. The Environment Agency (EA) was solely focused on environmental targets as shown in figure 6. These targets 31 were, to some extent, separated from the security of supply issues representing a contradiction between the concerns of EA and Ofgem. As an Environmental Manager explained: There’s been a slight conflict between the regulators, one of their (Ofgem) prime motives has been supporting their consumer and therefore making electricity cheaper and that, it continues to be a motive. . . particularly as we’ve experienced in the last sort of eighteen months where affordability of everything is seen as being a big issue, people’s incomes are under pressure. Figure 7. The Environment Agency regulator’s topos The generators emphasised to politicians their inability to make long terms investment decisions while consulting on the process for the framework of the LCPD; they asserted the need for a more secure energy policy. However, at the start of this project, it was difficult to establish policy because Ofgem denied that future security of supply was an issue; their main concern was to ensure that consumers achieved low prices. As a Head of Operations critiqued: 32 I think the Government have questions to face, and they should be facing them now . . . you can’t drive down prices from the point of view of Ofgem, the Government and public perceptions. I call it my mother-in-law test, my motherin-law will look at Company B and say you guys make billions but you’re asking us for more, that’s ridiculous, but she doesn’t see actually the billions we make is not enough money to build. We need more than the billions we have if we’re going to have to develop a new gas plant, put all the environmental stuff into the existing coal plant and sustain that and develop a nuclear capability. The impotence of the regulators with respect to ensuring new investment was emphasised by a Station Manager who stated: The regulators, Ofgem, have no legal back up to make us invest. The legal requirement for generators to ensure security of supply was removed through privatisation. Of course, Ofgem can play around with the market structure to encourage investment but, so far, they have avoided this because both they and the government believed investment would be market led. This has not worked, market led investment will only work with a strong policy in place.” This impotence did not seem to be recognised by Ofgem themselves who stated that their remit was as follows: Protecting consumers is our first priority. We do this by promoting competition, wherever appropriate, and regulating the monopoly companies which run the gas and electricity networks. The interests of gas and electricity consumers are their interests taken as a whole, including their interests in the reduction of greenhouse gases and in the security of the supply of gas and electricity to them.” (www.ofgem.gov.uk) Although this quotation suggests that the regulators have authoritative power over the generators to ensure a regular supply of electricity, under the current market system, this power was an illusion. As Ofgem’s website stated, they could take action when a company breached the terms of their licence, acted anti-competitively or breached consumer protection law but ‘Failure to make investments’ was not governed by any of those sanctions. 33 Figure 7. Ofgem’s topos The generators, while advising on the LCPD, were also lobbying for radical changes to the market structure, for example, wanting ‘capacity payments’ or some form of guarantee of prices. A capacity payment would be a payment made to a generator to ensure the potential for generation is in place. A capacity payment would be made to the generators regardless of whether they ran a plant or not. In other words, it represented a contingency plan for security of supply. The government’s and hence the regulators’ view of reality was very dependent on science, in the sense that their regulatory stance is based on scientific predictions about the future, especially the possibility of human induced climate change. This paper does not intend to enter the climate change debate but in terms of the regulatory topos, the ‘facts’ underpinning the regulatory 34 position are based on scientific models of the future. As will be discussed later, the government’s topoi contains elements of illusion, partly because of its ideological commitment to market solutions and partly because of conflicts between its objectives (e.g. security of supply versus a green agenda). 4. Capital budgeting as a mediating and negotiating instrument As argued earlier, capital budgeting is both a calculative technique, and a ‘model’ that mediates between actors (Miller & O’Leary, 2007). The mediating role of IA in a regulated electricity generating industry is shown schematically in figure 8. Net present value is shown as the outcome of revenues (price x quantity); costs affected by generating technology and energy costs; and the discount rate that varies according to business risk. The UK government wants to guarantee supply and uses a pricing mechanism to incentivise private suppliers. The regulators impact is on cost, as they expect the chosen technologies to reflect concerns about pollution and CO2 emissions. Meanwhile, the generators want positive NPVs. This model is very simple as it does not capture issues of uncertainty, the strategies of multinational companies, or how a discourse involving DCF10 can trap negotiators and rule out conceptually simple solutions. As well as being a mediating instrument, the figure may also be seen as an economic imaginary (Jessop, 2013), established to negotiate the problem in terms of a standard NPV model with revenues (positive cash flows), costs (negative cash flows) and discount rates. The narrow focus and stark simplicity of the calculative process offers a fair representation of actual negotiations, in which the government can only try to persuade the generators to invest by guaranteeing a price that is high enough to produce the required return in relation to the risks. From the generators perspective, the NPV calculation is part of a wider process of strategic development. In the 35 context of a strategic control perspective of capital budgeting (Miller & O’Leary, 2007), the NPV model is not driving the generators’ strategy but rather functions as a boundary system (Simons, 1995). In the UK’s privately owned yet regulated industry, company decision makers still seek to realise conventional goals such as profit or share-holder value whilst constrained by regulatory rules on pricing and, in the case of electricity generation, choice of technology. In this setting capital budgeting practices function as mediating devices (Miller & O’Leary, 2007) in two ways. First, they link the science and economics of electricity generation with the generators own topoi (Nørreklit, 2011). Secondly, they link the science and the economics in a negotiation space between the generators, the government and the regulators. In this second form of mediation, the interventionist role of capital budgeting practices means that these practices are not only about linkages and communication; indeed, IA models with a set of implicit prices, industry outputs and associated technologies lie at the centre of the negotiating framework. 36 Figure 8 -The investment appraisal model in relation to industry players Applying the CPE and PC frameworks The relationship between the CPE and PC frameworks is that whilst the latter evaluates the practical validity of the actors’ imaginaries/topoi, the former offers a relatively explicit relationship between semiotics and power, or the ‘fit between imaginaries and real, or potentially realisable, sets of material interdependencies in the economy and its embedding in wider sets of social relations’ (Jessop. 2013, p. 8). The dominance of a particular imaginary, such as that illustrated in Figure 8, does not imply that it is either the best or the only imaginary available to us. Certainly, from a negotiating perspective, the IA imaginary awards generators with both expertise and power (French & Raven, 1959). The UK government is dependent on generators’ expertise to provide new generating capacity. In return, the government can offer guaranteed prices and potentially exercise coercive power in the face of non-compliance with regulations. However, as shown above, in negotiations on environmental compliance, the regulators are very dependent on the 37 expertise of the regulators. Privatisation led to a loss of scientific capacity under the control of the UK state, particularly in the area of nuclear energy. The IA model links science and the economy (Miller& O’Leary, 2007) but the balance of influence has been heavily weighted on the side of the generators. In figure 3 we presented the government’s topoi as containing elements of illusion, because of failures to integrate different elements of reality. In terms of CPE, it would seem that the topoi is actually comprised of two quite contradictory imaginaries: in one imaginary, the NPV model, the economy leads the science. In opposition, there is an alternative green agenda where the science leads the economy. This contradiction is elaborated and enacted by the topoi of the regulators as summarised in figures 6 and 7. Of the two regulators, the EA is valid in the sense of integration between the different elements even if the individual components such as the facts and the logics are based on contestable scientific models. In comparison with Ofgem, the EA also has an unambiguous goal as set out in the recent Energy Act (2010). In contrast, Ofgem’s objective of protecting the consumer seems ambiguous. In terms of logics, however, Ofgem quite unambigously embraced the conventional investment appraisal models which help to align it with the economic imaginaries of the generators. Given these fundamental contradictions and illusions, policy paralysis was an unsurprising outcome. As touched on at the outset of this paper, a further, key reason for inaction in terms of underinvestment arises out of uncertainty (Haka, 2007). Uncertainty can incorporate many issues such as long term pricing, market instabilities and future polices. Some of the uncertainties of generators in terms of making long term investment decisions includes the unknown nature of future price curves and, more significantly, unknown future revisions of regulation and energy policy. Yet these uncertainties are themselves contingent on the discourse and specific focus on 38 investment appraisal. In short, the IA discourse ruled some solutions in (guaranteed prices) and some solutions (such as direct public investment) out. But why was direct public investment ruled out? Not only has it been the preferred mode in diverse countries such as China and France, it was the method adopted in the pre-privatisation era in the UK. Although as Miller (1991) showed there was some notional use of IA techniques in the UK generating industry in the pre-privatisation era, key decisions on the mode and location of power stations were made primarily according to political and engineering logics, not financial ones. The CPE perspective offers a way of responding to the question as to why public investment has been ruled out. In CPE, any given position is influenced by both semiotic and material factors. In this paper we have focused on a particular semiotic phenomenon; the economic imaginary of IA and the environmental imaginary of climate change and pollution. It is much harder to identify those material factors that are likely to be masked by alternative imaginaries (Jessop, 2013). The modern capitalist state is a curious contradictory mix of state and private capital expenditure. Consider that, in the 1930s, the UK state put unemployed workers to work building lidos, which not only provided employment but were useful amenities for the whole population for a number of decades. In contrast, in 2012, the UK state can find billions of pounds to build Olympic stadia with limited legacy potential at the height of an overall construction boom. And now, as a new recession drags on, the UK state spends billions on welfare driven by high unemployment but it cannot (will not?) build power stations. The prohibition is clearly not on state spending per se but on spending that might lead to something that is “useful”. In short, the state cannot be seen to be “productive” because that would subvert the central role of private capital. 39 Jessop (2013) argues that new solutions and new imaginaries will necessarily emerge from crises. However, noting the persistence of neo-liberal ideologies some years after the Great Financial Crisis of 2008, Jessop’s CPE suggests that the material interests of global capital seem to be able to resist and reject alternative narratives with ease. In terms of electricity generation, the predicted crisis is one of blackouts and power cuts. Yet in countries such as the USA, with a long history of regulated private utilities, electrical power cuts have not led to calls for regulatory changes but to fundamental changes regarding the presumption of private supply (Weare, 2003). From a CPE perspective with its roots in classical political economy (Tinker, 1980; Cooper &Scherer, 1984), crises have a very distinct characteristics defined not by electricity black outs but rather by a fall in the rate of profit and/or threats to the private ownership of the means of production (Miliband, 1969). In the UK context, an extra regulatory layer could be added to the environmental regulators described above which reinforce the restriction on state action. Governments in the EU are subject to rules concerning state help to industry which make severely constrain both direct investment or (re)nationalisation. Thus calls for a reversal of the privatisation movement in the UK (Milne, 2013) have to recognise that however “statist” it appears to be, the EU ultimately protects the interests of private capital. Conclusions Building on the work of Miller (1991) and Miller & O’Leary (2007), the paper shows that the prescriptive calculative techniques of investment appraisal may be used as negotiating instruments in a regulated industry setting. The paper draws on cultural political economy (Jessop, 2013) and pragmatic constructivism (Nørreklit et al., 2006) to interpret and evaluate an 40 empirical study of the UK electricity generating industry in terms of constructed imaginaries and actor-realities. Under pressure to change its technology to meet environmental demands on pollution, the generators raised the possibility of an investment hiatus leading to power cuts and black-outs. The papers shows that the normative model of investment appraisal plays a discoursal role as it frames the negotiations between the actors in a way that limits the apparent choices available to policymakers. In addition, the discourse of crisis associated with black outs hides a suspicion that the generators would, in their own terms, define crisis in terms of falling rates of profit or threats to private property rights. On its part, the UK state’s freedom of action is not only constrained by the hegemonic discourse of IA but is also limited by rules that restriction on state action by members of the European Union. One of the supreme ironies that emerge from this paper is that whilst it is not clear to what extent the actors who actually make investment decisions actually based their investment decisions on the theoretically approved IA techniques, the political, economic and regulatory debates were framed by the language of rates of return and discount rates. Although it is clearly in the interests of the regulators to link the issues of pricing and investment which the IA models do so neatly, it is less clear why the other players have failed to question the underlying logics. Although we have argued that discourse matters, we do not claim that all action is driven purely by the semiotics. One of the strengths of the theoretical and methodological frameworks of CPE and PC is that semiotics and materiality both matter. In the case of the UK electricity industry, the semiotics have not been forced to change in response to changes in material circumstances. A crisis of power cuts and black outs has been imagined but the political and economic impact of this doomsday outcome is uncertain leaving the regulatory issues unresolved. 41 This study reveals another paradox and puzzle. Regulators seem to pay more attention to the long term predictions of manmade global warming than they do to the much shorter term predictions of power black outs. It is beyond the scope of this paper to resolve the puzzle and explain why scientific imaginaries that link global warming to human carbon emissions seem to carry more weight than the more near-term consequences of under-investment in generating capacity predicted by the economic imaginaries. 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(2013) Nuclear Power in Japan. http://www.world-nuclear.org/info/CountryProfiles/Countries-G-N/Germany/#.Ul6I-NBwYy8, accessed 20/10/13 Endnotes 1 Scottish Power is owned by Iberdrola a Spanish based company. The name Scottish Power is retained in the UK for branding reasons. 2 Topos is Greek for ‘place’ and is the singular form: topoi is the plural 3 Within the context of this study sustainability refers to both the ability to achieve the environmental targets set by both the European Union (EU) and the United Kingdom (UK), but also the ability for the generation capacity to meet the demand. 4 See appendix 1 for a detailed explanation of method and data collection 5 This is now part of the Industrial Emissions Directive (IED), at the time of data collection it was known as the PPC then the IPPC – to be consistent with the interview data it will be referred to as the PPC permit. 6 Security of supply in the energy industry refers to the ability to produce enough electricity to cover demand and any expected and unexpected maintenance projects throughout the GRID. 7 Many of these publications were published by the likes of JEP and AEP 8 Section 36 is the planning application for new power stations, governed through The Planning Act 2008 (as amended by The Localism Act 2011). The applications are considered by the Planning Inspectorate and recommendations given to DECC. 9 At the time the interviews took place the estimated cost of all investment was predicted to be £200billion, the government prediction at 16th October 2013 was £110billion. 10 The terms NPV and DCF are used interchangeably since the first is just a particular form of the latter. Any textbook distinctions between NPV and IRR are not relevant to the rhetorical usage of investment appraisal models. 46 Appendix 1 Data collection stages and method Data collection – stage Method Notes Time period Stage one: Initial consultation with industry experts to identify industry hot topics. • Initial unstructured interviews • Attending industry conferences • Collection of White Papers and public presentations All methods included collecting data from consultants, analysts, generators and regulators. 2006 Stage three: Stage two: Gaining technical understanding Collecting LCPD documentation – of the regulations. regulation applications. • • • Attending industry conferences Informal discussions with industry experts Collecting EU directives • • • Conferences attended included ‘Kyoto – at what price?’ London June 2006 and ‘Implementing EC emissions directives’, Germany, November 2006. Stakeholders included in informal discussions include regulators, associations, generators, Transmission team, Trade Unions, consultants, analysts, trainers. 2006-7 Unstructured interview with Strategic Environmental Officer of EA Physical visits to some regional EA offices to collect information Virtual collection of some documentation from the EA regional offices who operated in this form. The interviews were necessary to establish which stations had opted in and out - at this stage there was no publicly available information. During the collection stage, it became apparent that each regional office had requested different information and some had used documents as their personal libraries, resulting in much of the information not being available. Therefore, this was a limitation of the data collection process. 2008-9 47 Data collection – stage Method Stage four: Stage five: Stage six: Secondary data Primary data collection on Triangulation of information collection on industry background and industry background current decision making process • Collection of • Semi-structured • Attendance of two key industry White Papers interviews with actors in conferences, The Energy the industry who had Forum Annual Conference, • Collection of knowledge ranging from London, Oct 2010 and 2011. historical 6-40 years spent in the studies on the • Industry debate, Institute of industry. industry Directors led by Professor Dieter Helm, London, Oct 2011. Notes This collection process included industry and academic sources. Time period 2009 Companies interviewed included the likes of Scottish Power, International Power PLC, Drax, RWE Npower, Credit Sites, E.on, UK, Environment Agency. Interviewees were established through contacts made at previous industry conferences, initial interview stages and cold calling. Letters were sent out via email and followed up via telephone conversation. 2009-10 Attendance was twofold; first, to gain new knowledge about the latest White Paper and second to triangulate the information gained in stage five, with the knowledge of CEOs from the big top six energy companies and regulators. Key informants included the Minister of State, and actors within Scottish Power, International Power, Accenture, KPMG, Powerfuel, Mainstream Renewable Power, Costain, Citigroup, EDF, PWC. 2010-11 48