The demand for distinction and the evolution of the prestige car

This paper studies the demand for a distinction good – the prestige car – and examines how this demand for distinction influences the evolution of the product. We focus on two very different sorts of distinction car: the Rolls Royce and the Ferrari. These two examples help us to articulate two polar approaches to the demand for distinction: distinction through antiquity and distinction through novelty. The paper sets out a model of the demand for distinction, and uses it to describe two trajectories along which the prestige car – and the demand for it – may evolve.     

The effects of competitors on new product launch and market expansion in the hybrid car market

This paper evaluates the effect of competitors on automakers’ new product launch and market expansion decisions in the hybrid car market. Using data from the entire history in US hybrid car market from 2000 to 2014, this paper estimates a Poisson model with endogeneous switching to account for the initial launch and the following expansion decisions. The results indicate that the presence of competing brands’ hybrid vehicle models has a net positive effect on a brand’s initial launch and expansion decisions. This suggests that demand expansion and market learning from competitors’ hybrid model launch and consumer cultivation are very important for this relatively new technology. Further, I find that the impact of competitors varies over time, vehicle origins, and classes.     

A technology replacement model with variable market potential — An empirical study of CRT and LCD TV

The rapidly changing economic environment and increasingly fierce competition indicate that companies must innovate in both their products and marketing strategies if they are to continue to flourish. Specifically, the ability to accurately predict the demand for products is crucial when firms decide to allocate their resources, especially in the fast moving high technology industries, where there is very high investment in R&D and production facilities. This study establishes a forecast model for technology replacement based on the diffusion model with population growth used for the variable market potential. The proposed model is then applied to investigate the CRT and LCD TV market.The results suggest that the new model is more accurate than the constant market potential model in fitting and forecasting performance. Consumers who purchase a TV for the first time are likely more attracted to LCD TV rather than CRT TV. As for those individuals who already own a CRT TV, the attraction is not strong enough to encourage them to replace their current CRT TV with a new LCD TV. Moreover, it is noted that the falling price of LCD TV is an essential factor in encouraging purchases.     

Technology futures analysis: Toward integration of the field and new methods

Many forms of analyzing future technology and its consequences coexist, for example, technology intelligence, forecasting, roadmapping, assessment, and foresight. All of these techniques fit into a field we call technology futures analysis (TFA). These methods have matured rather separately, with little interchange and sharing of information on methods and processes. There is a range of experience in the use of all of these, but changes in the technologies in which these methods are used—from industrial to information and molecular—make it necessary to reconsider the TFA methods. New methods need to be explored to take advantage of information resources and new approaches to complex systems. Examination of the processes sheds light on ways to improve the usefulness of TFA to a variety of potential users, from corporate managers to national policy makers. Sharing perspectives among the several TFA forms and introducing new approaches from other fields should advance TFA methods and processes to better inform technology management as well as science and research policy.     

Battery technology for electric and hybrid vehicles: Expert views about prospects for advancement

In this paper we present the results of an expert elicitation on the prospects for advances in battery technology for electric and hybrid vehicles. We find disagreement among the experts on a wide range of topics, including the need for government funding, the probability of getting batteries with Lithium Metal anodes to work, and the probability of building safe Lithium-ion batteries. Averaging across experts we find that U.S. government expenditures of $150 M/year lead to a 66% chance of achieving a battery that costs less than $200/kWh, and a 20% chance for a cost of $90/kWh or less. Reducing the cost of batteries from a baseline of $384 to $200 could lead to a savings in the cost of reducing greenhouse gases of about $100 billion in 2050.     

Forecasting industrial production and the early detection of turning points

In this paper we propose a simple model to forecast industrial production in Italy up to 6 months ahead. We show that the forecasts produced using the model outperform some popular forecasts as well as those stemming from an ARIMA model used as a benchmark and those from some single equation alternative models. We show how the use of these forecasts can improve the estimate of a cyclical indicator and the early detection of turning points for the manufacturing sector. This is of paramount importance for short-term economic analysis.The first draft of this paper was mostly prepared while Claudio Lupi was working as a Research Director at ISAE. The present version of the paper is a revision of a preliminary draft that was circulated under the same title as ISAE working paper 20/01. The authors would like to thank two anonymous referees, audiences at ISAE, Dublin (22nd International Symposium on Forecasting), and Ente Einaudi (econometrics seminars) for comments. Fruitful discussions and suggestions from Gianluca Cubadda, Sergio de Nardis, John FitzGerald, Antonio García-Ferrer, Franco Peracchi, and Tommaso Proietti are gratefully acknowledged. None of them is responsible for any remaining error. The opinions expressed in this paper are solely the responsibility of the authors and should not be interpreted as reflecting the views of ISAE or its staff.First revision received: Ocotber 2002/Final revision received: May 2003     

Forecasting the diffusion of photovoltaic systems in southern Europe : A learning curve approach

Most analysts disagree upon whether photovoltaic systems (PV) will be able to play an important role in the energy scenarios of the future. A few scholars also question the appropriateness of policies that envisage the use of public subsidies to stimulate the growth of this industry and to accelerate market penetration. This paper contributes to this debate by examining whether carefully designed policies may initiate a process of large-scale diffusion of grid-connected PV, even without the deployment of external subsidies. Building upon a disaggregated characterization of the electricity market, it takes endogenously into account the learning curve phenomenon and simulates the diffusion of PV building-integrated systems in five European countries. The analysis is restricted to crystalline silicon systems and is repeated under four different macroeconomic scenarios corresponding to four different energy policies. The results suggest that already today there are opportunities for PV diffusion in many islands of the Mediterranean region, which may trigger sufficient scale economies to render the technology competitive in larger markets. They also show that the diffusion process could be accelerated through the implementation of carbon-tax policies that support initial penetration. The environmental benefits (net avoided CO₂ emissions over the system life cycle) associated with the forecasted penetration are also evaluated.     

The future of mobile shopping: The interaction between lead users and technological trajectories in the Japanese market

This paper uses the concepts of lead users and technological trajectories and the current status of mobile shopping in Japan to forecast the future of mobile shopping. In interviews with more than 100 Japanese and foreign firms between 2000 and 2005, the author investigated the impact of a number of technological trajectories on mobile shopping applications that are suggested to be promising ones based on the behavior of lead users. Push-based Internet mail and other key services that are not yet available in Western markets were the initial drivers of the market for mobile shopping in Japan between 2001 and 2003. Currently, the fastest growing market for mobile shopping in Japan involves the integration of mobile sites with other media such as magazines and radio and television programs where these other media compensate for the small screens of mobile phones. This paper forecasts the impact of improvements along a number of technological trajectories on the integration of mobile sites with other media.     

Forecasting the Technology Revolution: Results and learnings from the TechCast Project

This research report presents latest results on the TechCast Project, first reported in Technology Forecasting & Social Change 14 years ago [1]. TechCast is an online Delphi system that pools background trends and the judgment of experts around the world to forecast breakthroughs in all fields. Results are presented for strategic technological advances that are likely to enter the mainstream and their expected impacts, providing an overview of the Technology Revolution. Aggregating the forecast data then provides macro-forecasts of broad timetables for economic and social change. This analysis suggests that the global economy is likely to enter a new economic upcycle about 2015 and reach an advanced stage of development about 2020. We also examine examples of how organizations develop technology strategy to compete in an era of economic transformation, and conclude by analyzing the role of forecasting as one of many methods for reducing uncertainty.     

Quantitative mapping of patented technology — The case of electrical conducting polymer nanocomposite

This study aims to obtain global technology evolution by constructing and analyzing patent citation network and patent citation map for the field of electrical conducting polymer nanocomposite. A total of 1421 patents are retrieved from USPTO patent database and patent citation network is established by combing both patent citation and social network analysis. Network properties, e.g. Degree Centrality, Betweenness Centrality, and Closeness Centrality, are calculated for representing several technology evolution mechanisms that first proposed in this study. Also, a distance-based patent citation map is constructed by calculating relative distances and positions of patents in the patent citation network. Quantitative ways of exploring technology evolution are investigated in this study to unveil important or emerging techniques as well as to demonstrate dynamics and visualization of technology evolutions.     

Integrating innovation system and management concepts: The development of electric and hybrid electric vehicles in Japan

Policymakers as well as corporate managers want to know how to gain the lead and benefit from a paradigmatic shift in technology. This paper develops and uses a combined policy and firm-level theoretical framework to derive policy implications from a case study of the development of battery, hybrid and fuel cell electric vehicles (BEVs, HEVs and FCVs) in Japan. Among the implications of the study, it is argued that Japanese national policy has so far had a limited direct role in the electrification of vehicles; this has been very largely decided and carried out in-house at the automakers. Policymakers need to consider this as well as the inherently international nature of the automotive industry. One key factor behind Toyota's and Honda's early and sustained lead in the electrification trajectory is the intense and in some aspects quite specific type of competition on the domestic market, which has nurtured firms with a strong product development capability. Finally, it is argued that the proposed theoretical framework contributes to a more balanced view of the role of policy in this potential paradigmatic shift in technology in a mature industry, compared to traditional policy or firm-level approaches.     

Specialization,product development,evolution of the institution of the firm,and economic growth

This paper considers the effects of the division of labor on economic growth and welfare in a general equilibrium environment where changes in individual specialization and product development can proceed simultaneously. The nature of the dynamic equilibrium is shown to depend on the interaction of transaction efficiency, economies of specialization, and economies of complementarity. Where the dynamic equilibrium involves evolution in the division of labor, this will be associated with increased per capita real income and hence economic growth. It is also shown that the emergence of firms is an aspect of the evolution of division of labor if transaction efficiency for a producer good is lower than that for labor used to produce this good.     

Monitoring and forecasting annual public deficit every month: the case of France

In this paper we forecast annual budget deficits using monthly information. Using French monthly data on central government revenues and expenditures, the method we propose consists of: (1) estimating monthly ARIMA models for all items of central government revenues and expenditures; (2) inferring the annual ARIMA models from the monthly models; (3) using the inferred annual ARIMA models to perform one-step-ahead forecasts for each item; (4) compounding the annual forecasts of all revenues and expenditures to obtain an annual budget deficit forecast. The major empirical benefit of this technique is that as soon as new monthly data become available, annual deficit forecasts are updated. This allows us to detect in advance possible slippages in central government finances. For years 2002–2004, forecasts obtained following the proposed approach are compared with a benchmark method and with official predictions published by the French government. An evaluation of their relative performance is provided.      

Forecasting emerging technologies with the aid of science and technology databases

Short term forecasting was applied to 20 emerging technologies under the “Machine and Materials” category based on the Vision 2023 foresight study previously conducted for Turkey. This scientometric approach uses the most suitable keywords linked to the technology in question and determines the number of publications and patents in those fields for a given year. Database analysis of publications and patents in the previous 11 years indicates that while the majority of the top 20 technologies identified by the experts are indeed emerging (i.e. the number of research and/or patenting in these technologies is increasing), some of them have not actually attracted too much interest in the science and technology (S&T) community. Forecasts based on S-curves indicate steady growth in some of the selected technologies. There is a high correlation between the number of scientific publications and patents in most of the technologies investigated. The method is proposed as a simple and efficient tool to link national foresight efforts to international S&T activities and to obtain quantitative information for prioritized technologies that could be used for technology management and decision making for research funding and technology investment.     

The costs and benefits of refuge requirements: The case of Bt cotton

Refuge requirements have been the primary regulatory tool to delay pest resistance to Bt crops. This paper presents a simple method to estimate the annual cost of refuges to producers, applying it to Bt cotton. It also examines broader welfare impacts, estimating how Bt cotton acreage restrictions affect producer surplus, consumer surplus, seed supplier profits, and commodity program outlays. The implications of grower adoption behavior — partial adoption, aggregate adoption, and refuge choice — for regulatory costs are examined. Empirical examples illustrate how providing multiple refuge options significantly reduces regulatory costs.     

A new definition and framework for the development of a national technology strategy: The case of nanotechnology for Iran

In this research, we use the concepts of “national technology policy” as well as the “firm technology strategy” in defining a new definition for “national technology strategy”. Then, by examining several national technology strategies in a variety of fields in different countries the national nanotechnology strategy for Iran is developed. Furthermore, using capability-effectiveness matrix and SWOT analysis we identify strategies of nanotechnology development in Iran. Finally, considering other countries' strategies and the results of PROMETHEE Method, we prioritize different areas of nanotechnology for Iranian economy, and test for the validity of the extracted strategies.     

中国宏观经济总量的实时预报与短期预测——基于混频数据预测模型的实证研究

季度GDP的走势与波动不仅会影响政府的财政收支、企业的盈利和财务状况,甚至还会影响家庭和个人的收入与支出,是宏观经济总量预报、预测与分析的重中之重。传统的宏观经济总量预测模型是基于同频数据进行的,高频和超高频数据必需处理为低频数据,这不仅忽略了高频数据信息的变化,还影响了模型预报和预测的及时性,降低了模型的预测精度。本文将混合数据抽样模型(MIDAS)用于中国季度GDP的预报和预测,实证研究表明,出口是造成我国金融危机时期经济增长减速的主要因素,MIDAS模型在中国宏观经济总量的短期预测方面具有精确性的比较优势,在实时预报方面具有显著的可行性和时效性。     

Emission taxes and the adoption of cleaner technologies: The case of environmentally conscious consumers

We model a market with environmentally conscious consumers and a duopoly in which firms consider the adoption of a clean technology. We show that as pollution increases, consumers shift more resources to the environmental activities, thereby affecting negatively the demand faced by the duopoly. This effect generates incentives for firms to adopt the clean technology even in the absence of emissions taxes. When such taxes are considered, our results indicate that the benefit of adopting the clean technology is initially increasing and then decreasing in the emission tax. The range of values for which the emission tax increases this benefit becomes narrower when the consumers’ environmental awareness is stronger.     

The co-evolution of technology and methods of standard setting: the case of the mobile phone industry

This paper applies the concept of co-evolution to technology, institutions, and industry structure in the mobile phone industry with a focus on technology and the institution/method of standard setting. The paper shows how changes in technology have caused the method of standard setting to come full circle. New switching technologies, in particular electronic switching, enabled a change from integral to modular problem solving and thus a change from quasi-vertical integration to open standard setting in the wireline telecommunications industry in the late 1970s and later in the mobile phone industry. Growth in those mobile phone markets that initially implemented an open standard setting process encouraged other countries to adopt similar types of standard setting where government agencies and firms were the mechanisms for this transmission of open standard setting methods. However, the latest technological change, the mobile Internet, requires integral problem solving and this has caused quasi-vertical integration to return in the form of service providers determining the mobile Internet standards and the specifications for the phones that support their mobile Internet services. A new set of firms is transmitting these methods of standard setting to the rest of the world.