知识经济与中国经济增长方式的战略性转变

本文依据中国经济发展面临的问题与世界经济结构调整现状,分析了科技进步、知识经济对经济增长的作用和影响,阐释了知识经济作为推动经济增长方式转变新要素的重要地位,进而探讨了面向知识经济时代的经济增长结构的战略性调整等问题。     

A dynamic analysis of an endogenous growth model with leisure

Summary. The main goal in this paper is to analyze an economic model of endogenous growth where human capital accumulation acts as the engine propelling economic activity. The added ingredient in our model is that agents derive utility from consumption and leisure, where leisure is defined as the amount of time devoted to those activities augmented by the level of education. Under regular conditions we show that there is a unique globally stable balanced growth path. We also provide a characterization of the behavior of our economic variables along the transition. Received: May 26, 1998; revised version: September 9, 1999     

Barriers to knowledge spillovers and regional convergence in an evolutionary model

This paper will present a multi-region/multi-country model in which inter-regional knowledge spillovers determine the growth of regions. Key parameters in the model are the learning capability of a region and the rate of knowledge generation (R&D). The intensity of spillovers depends on geographical distance between regions. The model is investigated by means of simulation techniques. What results is a core-periphery situation, the exact form of which depends on the assumed spatial structure. The impact of economic integration is investigated by introducing barriers-to-knowledge-spillovers in the model in the form of borders between countries. Contrary to the popular belief and some economic theories, we find that removing such spillover barriers may result in larger disparity of income levels between regions.     

Non‐Scale Endogenous Growth with R&D and Human Capital

This paper examines the conditions under which increasing knowledge, encapsulated in ideas for new technology through R&D and embodied in human capital through education, sustains economic growth. A general model is developed where, consistent with recent literature, growth is non‐scale (not increasing in population size) and endogenous (generated by factors within R&D and education). Recent models feature the counterfactual assumption of constant returns to existing knowledge and restrict the substitutability of inputs within R&D and education. We find that non‐scale endogenous growth is possible under less stringent conditions. The findings reconcile sustained economic growth with evidence of diminishing marginal returns in education and R&D, which suggests an ambiguous role for R&D policy.     

Economic development by the creation of new sectors

The basic theme underlying this paper is qualitative change taking place during economic development. These changes in the composition of the economic system should become one of the most important variables in models of economic growth and development. Our knowledge of the relationship between economic development and qualitative change, however, is still very limited. This paper attempts to shed light on some important aspects of the role played by qualitative change in economic development, by laying the foundations of a model in which changes in the composition of the economic system are endogenously generated by the evolution of the system itself and, in turn, affect its future development. The model has a strong Schumpeterian flavour in that the first entrepreneur entering a market enjoys a temporary monopoly. This temporary monopoly is eroded by the entry of imitators, that gradually increases the intensity of competition. The saturation is reinforced as the demand for what was a new product comes to be satisfied. In this way the adjustment gap initially created by the innovation is eliminated transforming a niche into a mature market, which becomes one of the routines of the economic system. As soon as a sector becomes saturated there is an increasing inducement for incumbent firms to exit and to create a new niche, where once more they will have a temporary monopoly. To put it in another, slightly different, form, we can say that economic development is a process in which new activities emerge, old ones disappear, the weight of all economic activities and their patterns of interaction change.JEL Classification: O0, O12; O30Correspondence to: Pier Paolo Saviotti     

Hayek and Keynes: From a common critique of economic method to different theories of expectations

The methodological positions of Hayek and Keynes contain striking similarities. Both authors opposed empiricist approaches to economics that assign priority to mere observation as the source of knowledge. Both emphasised intentionality, motivation and human agency. Notwithstanding this common ground, they had different conceptions of how beliefs are formed and had different explanations of thought and action in economics. Hayek grounded his explanation on an evolutionary theory of the mind, i.e. on psychological premises, whereas Keynes based his view of belief formation on probable reasoning, where probability is a logical concept. Starting from psychological premises Hayek maintained that individuals act rationally only by following rules. As a consequence, he considered conventional expectations to be the primary guide for agents in economic life. Keynes agreed that conventional expectations actually guide economic behaviour, but he maintained that they are justified only in situations of total ignorance. In conditions of limited knowledge, agents can base their action on reasonable expectations, independently of conventions. Moreover, agents?particularly those institutions responsible for economic policy?ought to shun conventional behaviour in order to counteract its negative social consequences. We argue that Keynes's theory of expectations is well grounded upon his theory of logical probability. Hence his advocacy of discretionary policy is rationally justified.     

KNOWLEDGE CREATION AS A SQUARE DANCE ON THE HILBERT CUBE*

This article presents a micromodel of knowledge creation through the interactions among a group of people. The model features myopic agents in a pure externality model of interaction. Surprisingly, for a large set of initial conditions we find that the equilibrium process of knowledge creation converges to the most productive state, where the population splits into smaller groups of optimal size; close interaction takes place within each group only. This optimal size is larger as heterogeneity of knowledge is more important in the knowledge production process. Equilibrium paths are found analytically; they are a discontinuous function of initial heterogeneity.     

New Economic Theories

This paper analyses some of the most important spillovers of recent developments of economic theory into environmental economics. Attention is given to the anlaysis of sustainable economic development paths, where endogenous growth models are used; the implications of environmental dumping and more generally of policies concerning global environmental issues, where new trade theories are very useful; and, the effectiveness of environmental policy instruments when markets are imperfectly competitive, where industrial organisation theory is employed. The paper does not only note recent developments in environmental economics, but also relates these to the previous environmental economics literature. Thus, it can be assessed whether new results actually improve our knowledge of crucial economic and environmental issues.     

Ecological and economic sustainability in fishery management: A multi-agent model for understanding competition and cooperation

Recent studies have shown that many marine ecosystems are experiencing an accelerating loss of population and biodiversity. It is apparent that there is a growing disparity between the available supply of fish and the desire of the growing world population to catch them. Although studies have begun to question the ecological sustainability of managed fishery systems, they often omit the corresponding effects on the economic sustainability of fishery industries. This is particularly important in rural coastal areas where the fishing industry is often a dominant employer. In this article, we analyze the interactions between economic and ecological dynamic systems using a multi-agent dynamic model of fishery management. Multiple agents (fishers) harvest multiple fish species and adapt the amount and allocation of their effort to their value functions, which are given as net profits of the fish harvest sold for a market price. This is largely unique in fishery models, since many econometric studies view fishers as represented by homogenous ‘average’ agents. We introduce and compare two different decision rules governing the behavior of fishers engaged in a competitive market. We demonstrate a situation where both behaviors lead to a decline of all fish stocks, as well as profits for most fishers. As an alternative, we introduce a cooperative approach in which fisheries jointly set sustainable limits for total harvest and effort that are then distributed to the fishers according to distribution rules. The simulation reveals that fish stocks and profits can stabilize at significantly higher levels in the cooperative case, leading to a continuous accumulation of capital for all fishers. This model demonstrates key aspects of overfishing conflicts that can be overcome through planned fishing quotas and cooperative market mechanisms. It also demonstrates a novel approach for simulating the dynamic behavior of heterogeneous fishers.     

新经济时代我国民企的转型及其加强知识转移的必然性分析

基于信息化、知识化和网络化为特征的新经济时代带来了各种全球化的机遇和挑战,迫使自身还存在一些较普遍不利症状的我国民营企业进行转型升级,以应对新经济时代带来的机遇和挑战以及国内外一些其他的制约因素。我国民营企业转型升级的核心路径需要通过加强知识转移来进行支撑和推动;同时,新经济时代的时代标志、竞争节奏、财富增长的新内涵、战略竞争资源的转变以及竞争的多态性和复杂性等特征都要求民营企业加强知识转移,动态地进行转型升级以适应新经济时代不断发展的竞争态势。     

The probability of nontrivial common knowledge

We study the probability that two or more agents can attain common knowledge of nontrivial events when the size of the state space grows large. We adopt the standard epistemic model where the knowledge of an agent is represented by a partition of the state space. Each agent is endowed with a partition generated by a random scheme consistent with his cognitive capacity. Assuming that agentsʼ partitions are independently distributed, we prove that the asymptotic probability of nontrivial common knowledge undergoes a phase transition. Regardless of the number of agents, when their cognitive capacity is sufficiently large, the probability goes to one; and when it is small, it goes to zero. Our proofs rely on a graph-theoretic characterization of common knowledge that has independent interest.     

IS model: A general model of forecasting and its applications in science and the economy

Expanding the work of Marchetti and Modis on Lotka-Volterra competition systems, a general model of Interaction Systems (IS) is introduced to describe the dynamics of multiple member interactions among different populations concerning not only biological systems but other types of systems as well. The new IS model provides us with a general framework of analysis and forecasting, where all parameters, variables, and interactions have real meaning, by using basic knowledge of each system.The proposed model can be applied to many different fields covering economic, business, social, physical, and other phenomena giving us both numerical estimates and qualitative insights of the system's dynamics. This is illustrated in two case studies. In the first case, the IS model is applied to elementary chemical reactions in order to quantify the reactions' kinetics. The result is the well known rate law of chemical reactions kinetics thus providing evidence of the proposed model's validity. In the second case, the IS model is applied to the global economy. The resulting model is tested against real global GDP data. The new IS model gave reliable estimates and proved to be considerably more accurate as compared to a similar forecast of global GDP based on the logistic growth model. Furthermore, the new model presented a basic framework of understanding the nature of major economic shifts, including the recent global recession of 2009, by studying the dynamic relationship between demand and supply.     

It’s a match! Simulating compatibility-based learning in a network of networks

In this article, we develop a new way to capture knowledge diffusion and assimilation in innovation networks by means of an agent-based simulation model. The model incorporates three essential characteristics of knowledge that have not been covered entirely by previous diffusion models: the network character of knowledge, compatibility of new knowledge with already existing knowledge, and the fact that transmission of knowledge requires some form of attention. We employ a network-of- networks approach, where agents are located within an innovation network and each agent itself contains another network composed of knowledge units (KUs). Since social learning is a path-dependent process, in our model, KUs are exchanged among agents and integrated into their respective knowledge networks depending on the received KUs’ compatibility with the currently focused ones. Thereby, we are also able to endogenize attributes such as absorptive capacity that have been treated as an exogenous parameter in some of the previous diffusion models. We use our model to simulate and analyze various scenarios, including cases for different degrees of knowledge diversity and cognitive distance among agents as well as knowledge exploitation vs. exploration strategies. Here, the model is able to distinguish between two levels of knowledge diversity: heterogeneity within and between agents. Additionally, our simulation results give fresh impetus to debates about the interplay of innovation network structure and knowledge diffusion. In summary, our article proposes a novel way of modeling knowledge diffusion, thereby contributing to an advancement of the economics of innovation and knowledge.     

经济金融化行为的政治经济学分析--一个演化博弈框架

自2008年美国金融危机发生以来,经济金融化成为国内外学界关注的焦点。文章从政治经济学的角度指出了金融化的本质在于资本积累演变为资本脱离剩余价值的生产与交换而通过金融系统实现增殖的过程,进而通过构建一个包含异质性主体的非对称演化博弈模型,揭示了非金融主体与金融主体之间从普通经济关系到金融关系的动态演变过程及其作用机制。研究表明：(1)经济主体之间的动态关系演变表现为非金融企业主要通过金融活动获取利润,金融企业则关注中间业务和表外业务并将普通家庭纳入其体系使之成为新的利润源泉,而普通家庭则被迫接受强势经济主体的二次分利,这些关系的变化将导致一国经济的金融化乃至金融危机。(2)经济发展状态取决于金融主体与非金融主体之间的相互关系,其中,非金融主体行为起主导性作用。在既定假设下,当非金融主体仅通过其资源保护行为影响金融主体的分利技术时,既可以促使一国经济走向新的稳定状态也可促使其走向崩溃;当非金融主体通过其资源保护行为和分利技术影响金融主体的分利技术时,经济可以实现演化稳定状态。(3)经济主体的金融化行为有三个层面的影响：一是经济主体的金融化行为促进经济主体自身在短期内实现高额资本积累;二是金融主体的分利行为与非金融主体的生产行为经常呈现对立的经济关系并容易被激化;三是没有政府介入的自由市场必然导致矛盾激化而陷入危机。因此,深入理解经济金融化问题的本质及其对经济的影响机制,对当前中国的经济转型和金融改革都具有重要意义。     

新常态下的人力资本与经济增长——综合金融资本和创新创业的理论建模

在国内外形势的双重影响下,中国经济步入了"新常态"的阶段,放缓的经济增长步伐带来新的矛盾和挑战,经济增长模式从以往的粗放型逐渐向集约型转变,但以往的经济理论在经济新阶段都具有一定的局限性.本文使用主流宏观经济学前沿的建模方法将现有的四大经济增长理论囊括在一个综合模型中,把人力资本投资、金融资本投资、实物资本投资、创新创业活动、纳什博弈机制有机地结合在统一的分析框架下,对经济增长理论文献做出重要的概括和拓展.通过校准赋值和数值模拟,得出理论模型的基本结论:人力资本积累虽然可以通过创新和创业促进经济增长,但是其效果仍是递减的,呈现出新古典增长模型的属性.     

主动迎接世界科技进步的挑战

人类在２０世纪实现了意义重大的制度创新,在发展生产力上取得了重大成就。特别是世纪末叶出现了影响深远的经济组织形式的变革和升级,即由工业经济开矿向知识经济形态的演变,从而使智力成为推动当代技术和经济进步的第一生产要素,面对世界政治、经济发展中的新情况,中国要迎接２１世纪的挑战,必须加快制度创新,促进科技进步。     

On the nature,function and composition of technological systems

This paper suggests that the economic growth of countries reflects their developmental potential which, in turn, is a function of the technological systems in which various economic agents participate. The boundaries of technological systems may or may not coincide with national borders and may vary from one techno-industrial area to another. The central features of technological systems are economic competence (the ability to develop and exploit new business opportunities), clustering of resources, and institutional infrastructure. A technological system is defined as a dynamic network of agents interacting in a specific economic/industrial area under a particular institutional infrastructure and involved in the generation, diffusion, and utilization of technology. Technological systems are defined in terms of knowledge/competence flows rather than flows of ordinary goods and services. In the presence of an entrepreneur and sufficient critical mass, such networks can be transformed into development blocks, i.e. synergistic clusters of firms and technologies which give rise to new business opportunities.     

The theory of the experimentally organized economy and competence blocs: an introduction

This article presents the theory of the experimentally organized economy and competence blocs. The theory assumes that information is immense and that economic actors are boundedly rational. This makes practically all economic activities to some extent uncertain and unpredictable; they become experimental in nature. Economic growth is, hence, viewed as an evolutionary process of the discovery, use and selection of knowledge. So-called competence blocs—the minimum set of agents with different, but complementary competencies required to generate and commercialize new combinations—are identified as necessary for efficient resource allocation. The incentives given by the institutions to the actors in the competence bloc are crucial for economic performance.     

Asset illiquidity and market shutdowns in competitive equilibrium

This paper introduces asymmetric information in a competitive asset market into a dynamic general-equilibrium model with borrowing constraints. In the presence of borrowing constraints, asset sales become a crucial means for agents to finance opportunities to invest in new assets. In this environment, reduced asset sales due to asymmetric information lower the economic growth rate if agents invest in new assets. The volume of asset trade, however, becomes zero if and only if agents stop investing in new assets because of sufficiently low aggregate productivity. A low economic growth rate with a market shutdown is solely due to low aggregate productivity without any role of the market shutdown.     

Altruism and Spite in a Selfish Gene Model of Endogenous Preferences

Economists and biologists have long grappled with the apparent contradiction of altruism in a naturally-selected world. Standard economic models are built upon an assumption of material self-interest where agents maximize individual outcomes without regard for the effects on others. This paper begins with a brief discussion of the evidence that human behavior deviates from the economic assumption. With the goal of more accurately describing human nature, the interpersonal components of preferences are derived in a genetic model. This model predicts a variety of behaviors that are considered paradoxical within the standard economic framework. The optimal attitude towards others is parameterized by the genetic relationship between individuals and by the population size. For interactions between ‘average’ individuals, the standard economic assumption is the limiting case of the genetic model as the population becomes arbitrarily large. This revised version was published online in August 2006 with corrections to the Cover Date.