Regulatory foresight: Methodologies and selected applications

This paper on regulatory foresight addresses approaches which allow future fields for regulatory action to be identified. We follow a rather wide perception of regulation and include standards and standardisation as elements of the regulatory framework. The paper presents three methodologies appropriate for performing regulatory foresight. First, an approach is presented which makes use of science and technology indicators and enables the identification of possible fields which may cause challenges for the regulatory framework and the regulatory bodies. Second, survey approaches are displayed which enable regulatory bodies to identify future needs for regulations. Finally, the usability of the Delphi methodology is discussed and results of a Delphi survey in the telecommunication area are presented. The paper concludes with a comparative analysis of the three methodological approaches regarding their effectiveness to conduct regulatory foresight.     

The UK technology foresight programme: An assessment of expert estimates

Since the early 1990s, ‘Technology Foresight’ exercises with special emphasis on the use of Delphi surveys have played an important role in science and technology (S + T) policy across Europe in an effort to focus resource allocation. Yet, none of the estimates made in the European Delphi surveys have been formally assessed in retrospect, while this process has been incorporated into the Japanese surveys since 1996. Taking the UK Technology Foresight Programme, this research sets out to assess the estimates of three of the fifteen panel Delphi surveys. Whilst on average 2/3 of Delphi statements were predicted to be realised by 2004, it will be shown that only a fraction of these statements had been realised by 2006. Based on the evidence collected from the published panel reports, the ‘Hindsight on Foresight’ survey conducted by OST in 1995 and interviews with panel members, it will be argued that the overwhelming majority of estimates were overly optimistic. While optimism and strategic gaming of experts is the most convincing explanation for these results, process factors were also explored, including the quality of expert panels used, the Delphi statements and the respondents of the Delphi questionnaire. It is argued that at least the issue of short-range optimism and strategic gaming of experts should be addressed in future Delphi exercises, as decision makers relying on expert advice cannot deal with this issue alone.     

Desirability bias in foresight: Consequences for decision quality based on Delphi results

In foresight activities uncertainty is high and decision makers frequently have to rely on human judgment. Human judgment, however, is subject to numerous cognitive biases. In this paper, we study the effects of the desirability bias in foresight. We analyze data from six Delphi studies and observe that participants systematically estimate the probability of occurrence for desirable (undesirable) future projections higher (lower) than the probability for projections with neutral desirability. We also demonstrate that in the course of a multi-round Delphi process, this bias decreases but is not necessarily eliminated. Arguably, the quality of decisions based on Delphi results may be adversely affected if experts share a pronounced and common desirability for a future projection. Researchers and decision makers have to be aware of the existence and potential consequences of such a desirability bias in Delphi studies when interpreting their results and taking decisions. We propose a post-hoc procedure to identify and quantify the extent to which the desirability bias affects Delphi results. The results of this post-hoc procedure complement traditional Delphi results; they provide researchers and decision makers with information on when and to which extent results of Delphi-based foresight may be biased.     

The development of technology foresight: A review

The term “foresight” has long been used to describe readiness to deal with long-term issues (especially on the part of governments). This term “Technology Foresight” took off in the 1990s, as European, and then other, countries sought new policy tools to deal with problems in their science, technology and innovation systems. Large-scale exercises drew in numerous stakeholders as sources of knowledge and influence, and the prominence of these exercises led to “foresight” being used much more widely to describe futures activities of many kinds. While few new tools and techniques have been developed in these exercises, they represent an unprecedented diffusion of forecasting, planning and participatory approaches to long-term issues. Futures approaches are, in consequence, far more officially acceptable and legitimate than in the past.     

The future of the future: Strategic foresight in Latin America

With few differences in timing, future studies in Latin America were initiated with a linear conception of reality. Orchestrated with techniques such as the Delphi, future studies were supported by mathematical principles of probability. Several countries have surpassed this stage while moving into strategic foresight. Strategic foresight analyzes the future as a multiple reality. In other words, it means thinking differently and not reading reality in a linear manner. It means accepting that there is not one future but several futures and that one question could have more than one answer.This change has demanded a shift in mentality. The presence of the disciplines in universities is of vital importance. For example, the Technological Institute of Monterrey (Mexico) and the Universidad Externado de Colombia (Bogota) offer foresight and strategy programs at the graduate level.This article describes how different individuals, groups, agencies and institutions in Latin America have emerged thanks to the support provided by the science and technology governmental agencies of each country. The author provides examples from different countries including Colombia, Brazil, Chile and Mexico. Currently, strategic foresight is slowly gaining recognition and acceptance as a compass for productive sectors and as a generator of competitiveness.However, despite the contributions of strategic foresight, Latin American countries, with the exception of some of the above-mentioned countries, have struggled to take off into the future. The role of strategic foresight can become the driving force behind this awakening, if the challenge of linking global trends with local contextualization through scenarios is accepted.     

A systematic quantitative backcasting on low-carbon society policy in case of Kyoto city

In order to realize a low-carbon society (LCS), it is necessary to formulate a comprehensive policy consisting of a large number of “options” (i.e., policies as well as technical and behavioral measures). Based on the concept of backcasting, this paper proposes a methodology and a model, called the backcasting model (BCM), that organizes a system of various LCS options and projects their detailed schedule toward a given target year. The methodology and model mainly focus on describing a complex system of LCS options and the consistency of their schedule. Other aspects such as the costs of LCS measures, stock dynamics of technologies, and effects of economic instruments are not explicitly considered. To permit quantitative treatment of various types of options, they are classified into several categories. The BCM calculates the schedule of the options under given quantitative information on the options and relationships between them. The methodology and model were applied to Kyoto City as an example. First, a quantitative snapshot of socioeconomic status and greenhouse gas (GHG) emissions was described. In the snapshot, a 45% reduction of GHG emissions compared with 1990 was achieved with moderate economic growth. The BCM was applied to about 130 options shown in an action plan of the Kyoto Municipal Government, and a schedule of the options was calculated. This methodology treats wide-ranging and complex low-carbon options in a quantitative and consistent manner and supports the policymaking process toward the realization of a low-carbon society.     

Multiple perspectives on planning for emergencies: An introduction to the special issue on planning and foresight for emergency preparedness and management

This introduction highlights the diversity of national localities, research methods, case studies, and topics covered by the papers selected for inclusion in the special issue on “Planning and foresight methodologies in emergency preparedness and management.” It then provides a detailed summary of each study, emphasizing what the editors feel are the most important contributions. Concluding remarks include a call for future studies that are needed. An example is planning for ways of supporting and integrating citizen participation in all phases of crisis management, a topic that is missing from this collection.     

Medical technology decisions in The Netherlands: How to solve the dilemma of technology foresight versus market research?

In this article, we discuss a dilemma consisting of the market-oriented perspective of users of medical technology versus the long-term technology foresight perspective. The context of medical technology is interesting, because we have to cope with complex future-oriented multi-level and multi-actor strategic decision making. In order to deal with this dilemma we suggest combining the results of a (group) expert opinion forecasting approach with a more market-oriented scenario-approach. More specifically, we use the results of the Delphi-technique as the main input for the development of various capacity (Market-based) scenarios. We exemplify this approach by a real life example directed at the future of imaging techniques for cancer care in The Netherlands and focus on a set of scenarios that deal with the application of the MRI-technique in the period 2005–2015. The Delphi-panel's expectations with respect to imaging technology representing the technological forecasts, combined with other relevant developments (such as demographic and epidemiological developments) are translated into alternative inputs for assumptions of the scenario-model. This model is basic to the future projections in terms of needed MRI-scanners, manpower and investments. We argue that the results provide motivation to continue to explore the methodological interesting area of innovation, aligning the market-oriented perspective of users of (medical) technology with the long-term technology forecasting perspective.     

Using scenarios for roadmapping: The case of clean production

Roadmapping and scenarios are two widely used futures techniques which help R&D managers set priorities for research. These techniques are combined in a Foresight exercise assessing development of clean production in metal manufacturing, drawing on the European CLEANPROD project. The aim of the project is to develop a set of roadmaps for metal processing R&D to achieve breakthrough sustainability — “clean production”.Scenarios, a frequently used Foresight method, are used to set the context for the exercise, inform the design of technology roadmaps and influence the wider policy context. Roadmaps are developed for three process areas of metal manufacture - surface preparation, machining and coating - on four levels including long run visions up to 2020, interim targets up to 2015, key R&D areas and specific project topics. Roadmaps are appraised in the light of alternative scenarios on the future of manufacturing. Promoting sustainability highlights gaps in a “business as usual” roadmap, suggesting a different portfolio of research projects. A revised overall scenario is used to shape public policy.R&D teams usually adopt one particular methodology to support resource allocation. However joint use of futures techniques helps if there is uncertainty over competing alternative technologies. Roadmapping often focuses on a single future. Scenario building as a Foresight technique introduces “multiple futures” thinking.     

The effect of economic policy uncertainty on bank valuations

This article examines how economic policy uncertainty (EPU) affects bank valuations. Using a large sample of banks over a long period, we find that EPU has a negative effect on bank valuations. One explanation for this result is that EPU reduces bank loan growth, and lower loan growth then leads to lower bank valuations. Consistent with this explanation, we find that the negative effect of EPU is more pronounced for banks with a higher ratio of loans to total assets.     

Clinical and economic impact of rivaroxaban on the burden of atrial fibrillation: The case study of Japan

Objectives: Atrial fibrillation (AF) affects an estimated 1.5 million individuals in Japan, increasing their stroke risk and imposing considerable costs on the Japanese healthcare system. To reduce stroke incidence, guidelines recommend using anticoagulants in moderate-to-high risk non-valvular AF (NVAF) patients; however, many patients receive no treatment, aspirin only, or remain poorly-controlled on vitamin K antagonists (VKAs) due to high VKA discontinuation rates and non-adherence to guidelines. A prevalence-based Markov model was developed to estimate the clinical and budgetary impact of treating these patients with Xarelto^TM (rivaroxaban, Bayer AG) in Japan.

Methods: Population, baseline risk of events, and associated management costs were estimated using data from Japanese publications where available. Treatment efficacy and safety were derived from published data and the J-ROCKET AF trial. Drug and physician visit costs were based on data from the Ministry of Health, Labor, and Welfare, the J-ROCKET AF trial, and Japanese clinical guidelines.

Results: This model demonstrates that increased use of rivaroxaban in inadequately-managed NVAF patients could avoid 456 081 non-fatal ischemic strokes (IS) and 76 975 cardiovascular deaths over 10 years in Japan. This clinical benefit offsets the increased incidence of myocardial infarctions and anticoagulant-related bleeding. Decreased event costs could lead to a ¥188.4 billion decrease in net spending over the analysis time horizon.

Conclusions: Introducing rivaroxaban may decrease the burden of NVAF in Japanese society. From a clinical perspective, the reduction in IS and embolic events outweighs the increased risk of anticoagulant-related bleeding; from an economic perspective, reduced event costs offset drug and physician visit costs, resulting in cost savings.     

The use of Delphi methodology in agrifood policy development: Some lessons learned

Developing policy in the agrifood area is an inexact process, usually relying upon effective integration of opinions from multiple experts from different disciplines, organisational types, and regions/countries. Delphi would appear to have the potential to overcome some of the typical limitations related to soliciting expert opinion and identifying consensus on future activities or options, particularly where relevant experts are dispersed geographically, and international consensus is required, as is the case in this domain. Three case studies, focused on the application of Delphi to emerging policy needs in international or European agrifood policy, are presented here to exemplify the utility of the technique. A number of practical recommendations are drawn from these case studies that may be applicable to other major policy making arenas. Among these recommendations are; that an exploratory workshop to refine round one Delphi questions is essential; that the implementation of “cascade” methodology (utilizing the personal contacts of researchers or members of existing policy networks) appears to increase response rates in subsequent Delphi rounds; and that the policy issue under discussion should be particularly relevant to stakeholders in order to increase participation rates. Further research might usefully focus on developing ways to incorporate measurements of uncertainty associated with stakeholder judgement into quantitative responses, and on establishing how best to utilise such information in feedback in subsequent Delphi rounds. Ensuring how best to inform policy uptake of the outputs of Delphi merits further research in particular.     

The use of macroeconomic models in economic policy making: The Norwegian experience

Planning in Norway has a long tradition. The use of models is an integral part of short- and medium-term economic policy administration. A large-scale input-output model, MODIS IV, is used as the short- and medium-term forecasting and planning model. The use of the model secures consistency when analysing the economy. The model is very open in the sense that important interrelations in the economy are left out. The model contains only ‘good’ relations in the Leif Johansen sense of the word. Smaller aggregate and more closed versions of the model are used for analysing policy alternatives. These models contain both ‘good’ and ‘bad’ relations. The use of macroeconomic models is an important aid for proposals regarding economic policy in the Ministry of Finance. Because the whole ministry (with expert help from other ministries) takes an active part in the model work, MODIS IV serves as the centralizing mechanism. It helps to make economists from many ministries go around the same centre, speak the same ‘language’ and organize all relevant information and judgements in a consistent way. Experience shows that ‘numbers discipline’ and force the different arguments on to a higher level of precision.     

The effect of capital requirement regulation on the transmission of monetary policy: evidence from Austria

This paper analyzes the role of banks’ regulatory capitalization in the transmission of monetary policy. We use a confidential dataset for Austrian banks spanning from the first quarter of 1997 to the fourth quarter of 2003. We find evidence that Austrian banks react in an asymmetric way to monetary policy depending on their regulatory excess capitalization, i.e. low capitalized banks react more restrictively to a monetary tightening than their highly capitalized peers.

The origins of the concept of ‘foresight’ in science and technology: An insider's perspective

This article explores how the term ‘foresight’ originally came to be used in connection with science and technology by the author and SPRU colleagues in 1983. It analyses how the rationale for its use evolved over time, first providing a ‘catchy’ title for a study (‘Project Foresight’), and then a convenient shorthand for the focus of that study, before eventually coming to formally signify a new approach to looking systematically into the future of science and technology, an inclusive and wide-ranging process that differed appreciably from that of traditional ‘technology forecasting’. The paper reflects on the importance of concepts and terminology in the field of science policy research, providing examples of how an inappropriate term or phrase can damn the prospects of the research having an impact on policy, while a more politically astute use of terminology can greatly enhance the probability of making a significant impact. The paper also examines other early uses of the concept of ‘foresight’ in the United States and Canada at about the same time. In addition, it highlights the conceptual similarities between foresight and la prospective, a novel approach developed in France not just for looking into the future but also for shaping or even ‘constructing’ the future of our choice, an ambitious aspiration that it shares with foresight. This case-study on the origins and early evolution of ‘technology foresight’ illustrates the essential importance of terminology in differentiating key concepts in social sciences (where it sometimes gives rise to unfortunate priority disputes), and particularly in the case of policy research.     

The non-linear impact of monetary policy on international reserves: macroeconomic variables nexus

This paper employs panel smooth transition regression models to investigate the nonlinear effects of two monetary policy proxies (i.e., real exchange rate return and real interest rate differential) on the international reserves—macroeconomic variables nexus. The panel data set includes the fourteen G-20 countries during the period 1991–2012. Empirical results show that the marginal effects of the macroeconomic variables (savings, terms of trade, public debt, capital account liberalization, economic growth, and trade openness) on international reserves are non-linear and vary with time, the proxies and countries, not linear and constant derived from traditional linear model. Currency devaluation policy (against the US dollar) can non-linearly enlarge the positive contribution of trade openness and public debt on international reserves, and non-linearly reduce the negative impact of terms of trade on international reserves, as the Marshall–Lerner condition holds. Expansionary monetary policy (through the decrease in domestic interest rates) can strengthen the positive effects of public debt, trade openness, and economic growth on international reserves. The precautionary and mercantilist views of reserves holdings are partially supported.     

Foresight and innovation in the context of industrial clusters: The case of some Italian districts

The “territory” is widely recognized in the literature on business strategy as a critical driver of industrial competitiveness (see, as an example, Porter, The Competitive Advantage of Nations). The generation and exploitation of new knowledge, both tacit and explicit, through the process of socialization, articulation, combination and internalization (see Nonaka and Takeuchi, The Knowledge-Creating Company) is essential to enable innovation of processes and products of “local” firms.Our recent Foresight exercises in the metal working and machinery district of Lecco and in the silk district of Como show that Foresight can play an important role in creating and exploiting new knowledge, and that different methodologies can be more or less effective to this aim.Critical technology list and interactive workshops, with the participation of entrepreneurs of SMEs and technologists, are more suited to foster the transfer of technologies that have overcome the initial stage of the life cycle and that have been already applied in other sectors. However, when radical innovations are needed in order to face the challenges posed by global competition, other methodologies, as Scenarios, are more appropriate. Even if these approaches are complex and time and resource consuming, they may be very effective in actively involving the most relevant private and public stakeholders of a district, and in making them to envisage the long term future of the economic, social, and cultural structure of their district. In this way Foresight drives the small entrepreneurs, the district stakeholders and the medium and large size firms to play the critical roles of Nonaka and Takeuchi's “frontline employees”, “senior managers” and “middle managers” in their “knowledge creating company”: the first ones grasp what the district is; the second ones build the vision of what it ought to be; the third ones, serve as a bridge between the future and the present.     

Markets of concentration permits: The case of manure policy

Concentration permits are regarded as an interesting policy tool for regulating emissions where, besides absolute amounts, also local concentration is important. However, effects of governance structure, trading system and possible policy interventions in the permits' allocation are not yet well analysed and understood. This paper explores in how far tradable fertilisation standards can be seen as a concentration permit trading (CPT) system which can be fine-tuned for further policy intervention. Indeed fertilisation standards such as obliged by the EU Nitrate Directive can be regarded as local nitrate emissions limits, and thus concentration permits. A multi-agent spatial allocation model is used to simulate the impact of defining the manure problem in terms of concentration permits rather than conventional emission permits. Impacts are simulated in terms of environmental performance and increased reallocation costs. The model is applied on the Flemish manure problem.     

Use of mathematical models in automotive transportation policy analysis: A case study

Mathematical models are used widely in automotive transportation policy analysis. The limitations, benefits, and uses of a case-study model, the Sweeney Passenger Car Gasoline Demand Model, were examined. It was found that because of users' lack of awareness of the model's characteristics, the model has sometimes been misused, although the misuse appears to have had no major negative policy impact. However, the model use has had some impact on major automotive/energy policy decisions of the 1970s. Involvement by the model author in applications of the model contributed to effective use of the model in the policy process.     

Privatization's impact on private productivity: The case of Brazilian iron ore

A major motivation for the recent wave of privatizations of state-owned enterprises (SOEs) was a belief that privatization would increase SOE productivity. There are now many studies showing most privatizations achieved this goal. Our theme is that the productivity gains from privatization are much more general and widespread than has typically been recognized in this literature. In assessing the productivity gains from privatization, the literature has only examined the productivity gains accruing at the privatized SOEs. But privatization may have significant impact on the private producers that often exist side-by-side SOEs. In this paper we show that this was indeed the case when Brazil privatized its SOEs in the iron ore industry. That is, after their privatization, the iron ore SOEs dramatically increased their labor productivity, but so did the private iron ore companies in the industry.