The brief history of game theory and the dissemination in China

After the year of 1944, Von Neumann and Morgenstem published the book ＂Theory of Games and Economic Behavior＂, the game theory had gradually become an emerging discipline. At present, game theory has already penetrated to every industry and widespread application in economy, politics and military and so on. The paper introduces the history and the developed situation of game theory about the foreign and domestic state.     

银行与企业信用贷款博弈分析

本文以企业和银行的不完全信息动态博弈为基础,针对信用贷款过程以及当事人的策略和行动,重点分析了贷款和还款两个阶段的银行和企业的博弈策略。在对贷款过程进行一定的约简假设基础上,构建信贷博弈模型并对其进行求解,得出不同条件下企业和银行的最优策略选择。本文在计算银行和借款企业的支付成本时突出考虑了机会成本,摒弃了其它模型中的模糊数据成分,使得模型能够得到更为直观的结果。     

Testing static game theory with dynamic experiments: A case study of public goods

Game theory provides predictions of behavior in many one-shot games. On the other hand, most experimenters usually play repeated games with subjects, to provide experience. To avoid subjects rationally employing strategies that are appropriate for the repeated game, experimenters typically employ a “random strangers” design in which subjects are randomly paired with others in the session. There is some chance that subjects will meet in multiple rounds, but it is claimed that this chance is so small that subjects will behave as if they are in a one-shot environment. We present evidence from public goods experiments that this claim is not always true.     

A technology opportunities analysis model: applied to dye-sensitised solar cells for China

Technology opportunities analysis (TOA) can support policy-makers or managers in making strategic technical decisions so as to enhance their technological innovation capability and international competitiveness. This paper presents a multi-level framework to support and systematically identify technological opportunities. Patent data as a key component of technology innovation are used to enable TOA within the framework in the present research. At the research and development (R&D) level, we anticipate the directions of technology development based on technology morphology. Countries’ development emphases can also be investigated in order to help identify their R&D strengths and weaknesses and to seek promising development pathways. At the level of competition, we devise the assignee-technology analysis to obtain insight into competitive participants’ technical emphases and intents. It is also used to explore possible collaboration opportunities among them. At the market level, we apply patent family analysis to understand countries’ target markets and to assess prospects for the commercialisation of their technology. We pursue TOA to explore China's opportunities and challenges in dye-sensitised solar cells. The empirical case analysis supports the effectiveness of the TOA model. We believe it can be adapted well to fit other emerging technologies.     

Transboundary air pollution and soil acidification: A dynamic analysis of an acid rain game between Finland and the USSR

Transboundary air pollution is analysed as a dynamic game between Finland and the nearby areas of the Soviet Union. Sulphur emissions are used as the environmental control variables and the acidities of the soils as the state variables. Acidification is consequently considered to be a stock pollutant having long-lasting harmful effects on the environment. The state dynamics consist of two relationships: first, of a sulphur transportation model between the regions and, second, of a model describing how the quality of the soil is affected by sulphur deposition. The countries are assumed to be interested in maximizing the net benefits from pollution control as measured by the impacts on the values of forest growth net of the abatement costs. Cooperative and noncooperative solutions of the game are compared to assess the benefits of bilateral cooperation. Using empirical estimates of abatement costs, acidification dynamics and impacts on forest growth it is shown that cooperation is beneficial to Finland but not to the Soviet Union. Consequently, Finland has to offer monetary compensation to induce her neighbor to invest in environmental protection.     

Corruption governance and its dynamic stability based on a three-party evolutionary game with the government,the public,and public officials

The current state of corruption in China is still worrisome. Corruption among public officials depends not only on their subjective will, but also on the success rate of government investigations and public whistleblowing. Based on the evolutionary game theory, this study constructs an evolutionary game model with the government, the people, and public officials and solves the dynamic model. The authors also provide a numerical simulation of the proposed model to confirm theoretical predictions. The results reveal that when the government’s success rate reaches a certain threshold, public officials will trend to a strategy of no bribery, and at this threshold, raising the cost of bribing public officials can quickly prevent them from corruption. At the equilibrium, the public will trend toward a strategy of no whistleblowing. The findings of this study are of great significance to the current anti-corruption debate in China.     

International diffusion of embodied and disembodied technology: A network analysis approach

This study proposes a quantitative method for investigating the structure of international technology diffusion. By using network analysis, this study defines the structural configuration of each country within the international diffusion network by measuring its degree, closeness, and betweenness centralities. In addition, this study distinguishes between embodied technology diffusion, measured by multilateral trade, and disembodied technology diffusion, measured by patent citations, in individual countries. This study empirically tests a sample data set of international technology diffusion taken from 48 countries. The empirical results show that the structural configuration of countries exhibits similar patterns in both embodied and disembodied diffusion networks. Significant global stratification patterns exist in the capability of national international technology exportation and brokerage advantages. Moreover, this study distinguishes four blocks of countries that play different roles in international technology diffusion: the leading countries provide a source of technological knowledge; an intermediate group diffuses the knowledge acquired from the source; a third group is in the process of initiating the export of technological knowledge; and a final group of countries absorbs technological knowledge without reciprocal exportation. Finally, this study identifies two types of catch-up strategies that newly industrialized or developing countries can use to move up the international technology stratification.     

Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach

The strategic importance of monitoring technological changes is highlighted given the ever faster pace and increasing complexity of technological innovation. In this respect, patent citation analysis has been the most frequently adopted tool among others. However, patent citation analysis is subject to certain drawbacks that stem from only consideration of citing-cited information and time lags between citing and cited patents. This study proposes a formal concept analysis (FCA)-based approach to developing a dynamic patent lattice that can analyze complex relations among patents and monitor trends of technological changes. The FCA is a mathematical tool for grouping objects with shared properties based on the lattice theory. The distinct strengths of FCA, vis-á-vis other methods, lie in structuring and displaying the relations among objects from a massive amount of data. For the purpose of technology monitoring, the FCA is modified to take into account time periods and changes of patent keywords. A patent context is first constructed with the aid of domain experts and text mining technique. Two types of dynamic patent lattices are then developed by executing the modified FCA algorithm. A case study of laser technology in lithography for semiconductor manufacturing shows that the suggested dynamic patent lattice has considerable advantages over conventional patent citation maps in terms of visualization and informative power.     

Real estate markets and the macroeconomy: A dynamic coherence framework

This paper analyzes the dynamic interactions between real estate markets, in the US and the UK and their macroeconomic environments. We apply a new approach based on a dynamic coherence function (DCF) to study these interactions bringing together different real estate markets (the securitized market, the commercial market and the residential market). The results suggest that there is a common trend that drives the different real estate markets in the UK and the US, particularly in the long run, since they have a similar shape of the DCF. We also find that, in the US, wealth and housing expenditure channels are very conductive during real estate crises. However, in the UK, only the wealth effect is significant as a transmission channel during real estate market downturns. In addition, real estate markets in the UK and the US react differently to institutional shocks. This brings some insights on the conduct of monetary policy in order to avoid disturbances in real estate markets.     

Collaboration for innovation and project failure. A dynamic analysis

The aim of this paper is to investigate the hypothesis that there is a complex and bidirectional relation between collaboration and failure in innovation projects. On the one hand, collaboration in innovative activities may increase the likelihood of project failure. At the same time, the failure in innovation projects may induce the firm to collaborate in order to overcome the problems that determined the failure of innovation projects (induced collaboration). Up to now, we are not aware about the existence of any empirical paper analysing the interaction between these two mechanisms. This paper aims at filling this gap by providing a motivation for the induced collaboration and testing its empirical relevance in a dynamic framework. The empirical analysis is carried out by using two consecutive German Community Innovation Surveys referring to the period 2006–2010. The empirical results support the hypothesis of a bidirectional causal relationship between collaboration and failure.     

Risk management and dynamic network performance: an illustration using a dual banking system

This study applies dynamic network data envelopment analysis to compare a dual banking system, namely conventional and Islamic banks, with emphasis on risk measures. Non-oriented, variable return-to-scale dynamic network slacks-based measure is used to model the banking performance for the period 2008–2012. Under the consideration of risk measures, the findings highlight that Islamic banks excel in managerial efficiency while conventional banks surpass in profitability efficiency. Furthermore, the regression results find that the number of directors on the risk management committee has a positive impact on banking performance. Meanwhile, the high number of independent directors improves the profitability efficiency but worsens the managerial efficiency.     

A consumer-based model of competitive diffusion: the multiplicative effects of global and local network externalities

Competitive diffusion of two incompatible technologies, such as PC vs. Macintosh, VHS vs. Betamax and so on, is studied under the framework of a spatial game in which consumers are distributed on a two-dimensional square lattice network. The consumers play coordination-like games with their nearest neighbors and imitate the most successful strategy in their neighborhood in terms of aggregated payoffs after each round. The effects of global network externality are realized in the dynamic payoff matrix of the game, and the framework of spatial game provides the model with the effects of local network externality. These two types of externalities are set as multiplicative, that is, as nonlinear. Both simulations and mean-field approximation show that not only total but also partial standardization (robust polymorphic equilibrium) occurs depending upon the parameters and initial configurations, even when there are positive effects of both global and local network externalities. Moreover, effects of innovation factors that alter paths toward a lock-in situation are studied. It is shown that both the timing and the size of the innovation factors matter for a disadvantaged technology in order to overwhelm a market.JEL Classification: C7, D8, O3We are obliged to Professor John Paul Boyd at the University of California, Irvine and our anonymous referees for their constructive comments.     

A patent-based cross impact analysis for quantitative estimation of technological impact: The case of information and communication technology

The increasing syntheses and interactions between various technologies increase the usefulness of cross impact analysis (CIA) as a method for forecasting and analyzing them. Conventional CIA depends on an expert's qualitative judgment or intuition and thus it is difficult to evaluate quantitatively the impact of one technology on another. In this study, we employ patent analysis in CIA to examine such impacts between technologies based on multiple patent classifications. Patent information is used for facilitating quantitative and systematic approach in CIA. The distinctive feature and main contribution of the proposed approach is the overcoming of the limitations of conventional CIA, by employing conditional probabilities based on the patent information. The classification of patents, particularly the multiple classifications, is used to evaluate the relationships between technologies. As an illustration, a patent-based CIA with information and communication technologies (ICTs) was conducted. Firstly, the patent-based cross impact among ICTs was calculated. Secondly, the technology pairs were classified based on the cross impact score between ICTs. Thirdly, a cross impact network was constructed to identify the complex relation among ICTs. Finally, the changes in cross impact scores between technologies over time were analyzed. The results of this research are expected to help practitioners to forecast future trends and to develop better R&D strategies.     

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.     

Personal attitudes in the assessment of the future of science and technology: A factor analysis approach

In 1996, the second German Delphi study (“Delphi '98”) was started. The Delphi '98 is a two-round Delphi expert survey being conducted by the Fraunhofer Institute for Systems and Innovation Research (ISI) on behalf of the German Federal Ministry of Education, Research, Science, and Technology (BMBF). The study was published in February 1998, and is now getting into its implementation phase. Its inherent focus is on the development of science and technology in 12 thematic fields in the next 30 years. To arrive at a better understanding of the influence of personal attitudes towards general developments in natural environment and society, the respondents were asked in the first round of the Delphi survey for their personal opinion towards several megatrends concerning the natural environment, economic, sociological, and political developments. Over 2,300 answers led to a very solid database, which gives insights into the general attitudes of the German R&D experts. On some topics, there is a high consensus, whereas in others, opposite opinions coexist. These results may serve as the database for a factor analysis leading to the identification of five different expert types. This paper examines the crucial question of whether different patterns in assessing the future development in science and technology by expert types can be observed. In general, it turned out that differences in personal attitudes towards megatrends do not influence the estimation of developments in science and technology. However, differences exist in specific topics and the distribution of the five experts types among the respondents differs significantly in the 12 fields.     

Global distribution of micro–nano technology and fabrication centers: A portfolio analysis approach

Micro and Nano Technologies (MNT) are potential economic engines that have the capability to become the basis for regional and national job and wealth creation. Some have even suggested that MNT along with information technology and media form the basis of a new Schumpeterian or Kondratief wave. Many governments recognizing MNT as enabling technologies with exceptional economic potential have embraced them as centerpieces of their technology policy. Many of these same countries and regions as an expression of their technology policy are creating national centers that embrace the promise of MNT. These international Micro and Nano Technology Centers (MNTC) have taken a variety of forms.Here we review the variety of forms and define the nature of many these major MNTCs from around the world by describing some of their similarities and differences. We provide an insight into many of these centers' demonstrated policy and tactics as they optimize their value to their constituents. Finally we provide a contribution to the literature by providing a categorization scheme for global MNTCs based on our exploration.     

Designing knowledge chain networks in China — A proposal for a risk management system using linguistic decision making

Designing Knowledge Supply Networks (KSN) with universities and research institutes has become a key source of technological innovations in Mainland China. In order to explore the key design principles, we first present typologies within KSN and explain the factors that can push, guide, or support the innovation process in such a network. Second, we identify and classify the particular risks that prevail when KSN are designed in an emerging region. To assess these risks, we next propose an advanced method that takes into consideration typical problems in group decision-making processes by applying linguistic operators derived from the field of decision theory and fuzzy-sets theory. The risk evaluation method is illustrated with a case study. Fourth, we offer advice on the mitigation of risks in KSN. Finally, we provide insights into the implementation of the risk evaluation method and its automation using Stakeholder Information Systems.     

A hybrid visualisation model for technology roadmapping: bibliometrics,qualitative methodology and empirical study

Technology roadmapping offers a flexible instrument to portray development status in support of technology forecasting and assessment. This paper integrates bibliometrics with qualitative methodologies and visualisation techniques to construct a hybrid model for composing technology roadmaps. The mapping arrays details on the evolution of the technology under study and contributes to understanding the macro-technology development status. We generate a global technology roadmap for electric vehicles to demonstrate the approach in an empirical study.     

A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies

The planning of technological research and development (R&D) is demanding in areas with many relationships between technologies. To support decision makers of a government organization with R&D planning in these areas, a methodology to make the technology impact more transparent is introduced. The method shows current technology impact and impact trends from the R&D of an organization's competitors and compares these to the technology impact and impact trends from the organization's own R&D. This way, relative strength, relative weakness, plus parity of the organization's R&D activities in technology pairs can be identified.A quantitative cross impact analysis (CIA) approach is used to estimate the impact across technologies. Our quantitative CIA approach contrasts to standard qualitative CIA approaches that estimate technology impact by means of literature surveys and expert interviews. In this paper, the impact is computed based on the R&D information regarding the respective organization on one hand, and based on patent data representative regarding R&D information of the organization's competitors on the other hand. As an illustration, the application field ‘defence’ is used, where many interrelations and interdependencies between defence-based technologies occur. Firstly, an R&D-based and patent-based Compared Cross Impact (CCI) among technologies is computed. Secondly, characteristics of the CCI are identified. Thirdly, the CCI data is presented as a network to show the overall structure and the complex relationships between the technologies. Finally, changes of the CCI are analyzed over time. The results show that the proposed methodology has the potential to generate useful insights for government organizations to help direct technology investments.     

A disaggregated analysis of EU imports: the implications for the study of patterns of trade and technology

This paper examines trends in the unit prices of manufacturedimports into the European Union (EU) in the period 1988–2002.This is undertaken at a high level of disaggregation, and itis this decomposition which we believe has important implicationsboth for a range of bodies of economic analysis and for policy.The analyses undertaken in this paper confirm that disaggregationmatters in helping to identify unit-price trends. We have alsoshown that unit-price trends vary with the type of economy exportinginto Europe and the type of product being exported, and thatthese results are robust at high levels of disaggregation.