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Title: EVOLUTIONARY PERSPECTIVES IN ECONOMICS


1
EVOLUTIONARY PERSPECTIVES IN ECONOMICS
  • Luigi Orsenigo
  • University of Brescia
  • KITeS CESPRI, Bocconi University
  • Open University

2
Outline
  • Basic concepts and inspirations of evolutionary
    economics
  •  
  • Methodology and the essence of the evolutionary
    approach
  •  
  • Evolutionary Models of industrial dynamics,
    innovation and technical change
  •  
  • Developments in Evolutionary Modelling

3
BASIC CONCEPTS AND INSPIRATIONS
  • Antecedents Marshall, Schumpeter, Alchian, etc..
  •  
  •  
  • The invisible hand and the natural selection
    metaphor competition like natural selection
    (survival of the fittest)? (Milton Friedman)
  •  
  •  
  • Institutionalism Veblen, Hodgson

4
The new evolutionary economics
  • Nelson and Winter 1982
  •  
  •  Innovation, technical change
  • Dynamics
  • Bounded Rationality
  • Organizations
  • Institutions
  • Schumpeterian competition
  • Economic growth
  •  
  • How is it that some kind of order emerges out
    of the actions of heterogeneous agents, who do
    not understand very well the constantly and
    endogenously changing environment in which they
    live?
  •  
  • Dynamics first
  • Bounded rationality
  • Disequilibrium

5
The Principles (from S. Winter)
  • 1.      Realism!
  • It may not be a necessity for good theory, but it
    is often a virtue at least at the prevailing
    margin. There is no need to take off one head and
    put on another one when you step reading the
    business page and start doing economics
  • 2.      Dynamics first!
  • To impose on dynamic theory the burden of
    supporting a pre-existing static equilibrium
    analysis, is essentially to put on blinders,
    making it inevitable that obviously significant
    issues will be overlooked
  • 3.      No free calculation!
  • It is an abiding scandal that the
    self-proclaimed science of scarcity routinely
    treats all forms of deliberation and information
    processing as free. This scandal reaches
    Monica-gate proportions in rational expectations
    and other sophisticated equilibrium concepts that
    implicitly endow each actor with the ability
    solve every actors problem many times over.
  • 4.      Firms are profit seeking!
  • It is a true fact of nature that firms are
    typically profit seeking, but it is not a true
    fact of nature that they are typically profit
    maximizing. Profit maximization is a theorists
    crutch and ought to be abandoned when it is too
    stark to capture the reality of profit seeking or
    too cumbersome to permit analysis of any but the
    most extremely stylized models

6
  • .5.      Innovation is always an option!
  • One thing a profit-seeking firm can do rather
    than optimize over a given set of possibilities
    is to think of some new possibilities. Hence,
    every analysis of such optimizing behavior
    deserves an asterisk leading to a footnote that
    says unless, of course, there is a better idea.
  • 6.      Firms are historical entities!
  • They typically display pronounced inertial or
    quasi-genetic traits (e.g. scale/ routines) that
    are clearly persistent enough to shape their
    actions over interesting prediction periods.
    They ought to be represented that way in theory,
    positioned in model history the way real firms
    are positioned in real history.
  • 7.      Firms are repositories of productive
    knowledge!
  • In most contemporary societies they are in fact
    the key repositories of technological and
    organizational knowledge and among the key agents
    of historical change. The storage and advance of
    knowledge, the maintenance and improvement of
    organizational capabilities, are complementary
    roles.

7
  • 8.      Progress is co-evolutionary!
  • Technological and organizational innovation is
    generated by a variety of firm-level search
    processes. But firms do not search independently,
    they look to rivals, suppliers and customers for
    ideas, technologies and practices. And these
    firm and industry processes go forward in the
    context of a variety of public and private
    institutions and programs, which in turn are
    shaped by the firms. I could tell you that itís
    really simpler than that, but That Would be
    Wrong.
  • 9.      Anything can happen for a while!
  • As Schumpeter said, only when things have had
    time to hammer logic into men is it safe to
    assume that some level of rationality will
    characterize economic outcomes. Market discipline
    and economic natural selection constrain outcomes
    over time, but in the short run anything can
    happen.

8
The Evolutionary Approach
  • Analysis of changing systems
  • Change is partly exogenous, but partly
    endogenous
  • Change is partly stochastic and partly
    deterministic
  • Agents are different, do not understand perfectly
    the world and cannot look too far ahead
  • Selection
  • Learning
  • Institutions
  •  
  • Methodological commitments
  •  
  • start from stylized facts
  • empirically-based assumptions
  • appreciative theorizing
  • models

9
The Evolutionary Metaphor
  • Heterogeneous Populations (agents, routines,
    technologies, etc)
  •  
  • Selection define fitness and how fitness selects
    among things. But fitness can be
    multidimensional, may change over time
    (Hyper-selection, co-evolution) and may be partly
    endogenously determined.
  •  
  • Units of selection genotypes and phenotypes
  •  
  • Mechanisms of selection
  •  
  • Adaptation and variation bounded rationality,
    learning and discovery
  •  
  • Does selection optimize?
  •  
  •  

10
Applications
  • Economic History and History of Technology
    (Rosenberg, Chandler, Galambos, Mokyr, Vincenti,
    Basalla, Freeman) technology and organizational
    institutional forms co-evolve over time
  •  
  • Business and Management (Teece, Utterback,
    Rosenbloom, Pisano, Henderson, Winter..)
    competence-based theories of the firm
  •  
  • Individual and Organizational Learning (Dosi,
    Marengo, Malerba)
  •  
  • Consumer Behaviour (Dosi)
  •  
  • Industrial Organization (Dosi, Malerba, Klepper,
    Metcalfe..)
  • - empirical studies of the evolution of
    particular industries
  • Innovation studies (Freeman, Pavitt, Cantwell,
    Archibugi,.)
  • Industrial dynamics
  •  

11
Applications (ctd.)
  • Growth (Dosi, Silverberg, Verspagen)
  •  
  • Trade (Dosi, Verspagen, Cantwell..)
  •  
  • Policy (Metcalfe, Winter,.)
  •  
  •  
  • Methodologies
  • Case Studies
  • Experimental Economics
  • Econometrics

12
Evolutionary Models of Industrial Change
  • Build a formal argument to reproduce and
    explain specific stylized facts
  •  
  • The argument is derived from appreciative
    theorizing
  •  
  • Dynamic stochastic systems when analytic
    treatment is impossible, simulate the model
  •  
  • Derive simplified, compact versions of the model
    and solve it analytically
  •  

13
Simulation
  • Heuristic technique, widely used in other
    sciences
  •  
  • Inductive approach
  •  
  • Theory-driven and disciplined
  •  
  • Problems of validation robustness, sensitivity
    analysis, ability to reproduce facts, calibration
  •  

14
  • Nelson and Winter 1982, Winter 1984
    Schumpeterian competition
  •  
  • Heterogeneous firms, characterized by capital
    stock and routines, produce, invest and search
    for new techniques
  • Invest in RD or imitation a fraction of turnover
  • Double draw scheme first draw from a
    distribution to determine whether the effort was
    successful or not if yes, draw from another
    distribution to determine the extent of the
    improvement
  • Produce and sell with the new technique,
    determine profits
  • More profitable firms, invest more in capital
    stock and RD and grow (success breeds success)
  • Markov process
  •  
  • In Winter 1984 entry, exit
  •  

15
Applications and results
  • Emergence of concentration in industries
    undergoing technical change
  •  
  •  
  •  
  • Endogenous market structure concentration
    increases with conditions of opportunity,
    appropriability and cumulativeness (technological
    regimes)
  •  
  •  
  • - Technical change is higher in concentrated
    industries
  •  
  •  

16
History Friendly Models
  • CLOSER RELATIONSHIP WITH HISTORICAL AND EMPIRICAL
    ANALYSIS
  •  
  • INDUSTRY-SPECIFICITIES
  •  
  • PUT MORE RESTRICTIONS ON MODELS
  •  
  • DERIVE TIME-PATHS, NOT SIMPLY LIMIT PROPERTIES
  •  
  • FORMALIZE AN APPRECIATIVE ARGUMENT (Sources of
    industrial advantages)
  •  
  •  

17
The Evolution of the Computer Industry
  • Four eras
  • early experimentation and mainframes
    (transistors)
  • introduction of integrated circuits and
    subsequent development of minicomputers.
  • personal computer, made possible by the invention
    of the microprocessor.
  • networked PCs and the Internet.
  • Discontinuities concerning both components
    technology (transistors, integrated circuits, and
    microprocessors) and the opening of new markets
    (minicomputers, PCs).
  • One firm - IBM - emerges as a leader in the first
    era and keeps its leadership also in the
    successive ones, surviving every potential
    "competence-destroying" technological
    discontinuity.
  • In each era, however, new firms have been the
    vehicles through which new technologies opened up
    new market segments.
  • The old established leaders have been able to
    adopt the new technologies and - not always and
    often facing some difficulties - to enter in the
    new market segments, where they gained
    significant market shares but did not acquired
    the dominant position they previously had.

18
Questions
  • What determines the emergence of a dominant
    leader in the mainframe segment?
  • What are the conditions that explain the
    persistence of one firm's leadership in mainframe
    computer, despite a series of big technological
    "shocks"?
  • What allowed IBM to enter profitably into new
    markets (PCs) but not to achieve dominance?

19
The era of transistors, entry and the mainframe
industry
  • At the beginning, the only available technology
    for computer designs is transistors.
  • N firms engage in efforts to design a computer,
    using funds provided by "venture capitalists" to
    finance their RD expenditures.
  • Some firms succeed in achieving a computer that
    meets a positive demand and begin to sell. This
    way they first break into the mainframe market.
    Some other firms exhaust their capital endowment
    and fail.
  • Firms with positive sales uses their profits to
    pay back their initial debt, to invest in RD and
    in marketing.
  • With RD activity firms acquire technological
    competencies and become able to design better
    computers. Different firms gain different market
    shares, according to their profits and their
    decision rules concerning pricing, RD and
    advertising expenditure.
  • Over time firms come closer to the technological
    frontier defined by transistor technology, and
    technical advance becomes slower.

20
The introduction of microprocessors
  • After a period t', microprocessors become
    exogenously available. This shifts the
    technological frontier, so that it is possible to
    achieve better computer designs.
  • A new group of firms tries to design new
    computers exploiting the new technology, in the
    same way it happened for transistors.
  • Some of these firms fail. Some enter the
    mainframe market and compete with the incumbents.
  • Some others open up the PC market.
  • Incumbents may choose to adopt the new technology
    to achieve more powerful mainframe computers.
  • Diversification in the PC market

21
Computers in the space of characteristics
22
Customers and Markets
  • Computers are offered to two quite separate
    groups of potential customers.
  • "large firms", greatly values performance and
    wants to buy mainframes.
  • "individuals", or "small users", has less need
    for high performance but values cheapness. It
    provides a potential market for personal
    computers.
  • Each of the two user groups requires a minimum
    level" of performance and cheapness before they
    are enticed to buy any computer at all. Then, the
    value that customers place on a computer design
    is an increasing function of its performance and
    its cheapness.

23
Demand
  • The probability, Pi, that a particular submarket
    will buy a computer i is
  • c0 is specified so that the sum of the
    probabilities adds to one.
  • Mi denotes the "value" of computer i.
  • "mi" is the market share of the firm who produces
    computer i
  • the market share variable can be interpreted
    either in terms of a "bandwagon" effect, or a
    (probabilistical) lock-in of consumers who
    previously had bought products of a particular
    brand.
  • The constant parameter d1 assures that even
    computers that have just broken into the market,
    and have no previous sales, can attract some
    sales.
  • "A" is the advertising expenditure of a firm.
  • The constant parameter d2 performs here a similar
    role to d1 for firms who have just broken into
    the market and have not yet invested in
    advertising.
  • If consumers in a particular submarket decide to
    buy computer i, then M is the number of machines
    they buy.

24
Innovation
  • In every period the "merit " of the computer each
    firm is able to achieve along its technological
    trajectory --performance and cheapness improves
    according to
  • R, is the firm's RD expenditure, where i1 is
    performance and i2 is cheapness.
  • T represents the number of periods that a firm
    has been working with a particular technology.
  • Li-Xi, measures the distance of the achieved
    design from the technological frontier. The
    closer one gets to the frontier, the more
    technological progress slows down, for every
    given level of RD expenditure. There is also a
    random element to what firm achieves, given by e.

25
Profits, prices, RD
  • Profits ?t Mp Mk,
  • Price pt k (1?t)
  • Mark-up ?t 0.9?t-1 0.1(mi/( ?- mi ),
  • Where ? is demand elasticity
  • RD expenditures Rt, ? ?t (1- ?)
  • Advertising

26
The dynamics of concentration
27
Counterfactuals
28
Counterfactuals 2
29
Policy experiments
30
Theoretical experiments failed adoption
31
Experimental Users
32
Pharmaceuticals
  • Innovation as a quasi random process
  • Innovation and imitation
  • Market fragmentation
  • Low concentration, despite high RD and marketing

33
Pharmaceuticals
34
  • Random search, patent
  • Development
  • Product launch and marketing
  • Imitation

35
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36
Counterfactuals
  • Costs and economies of scale
  • Market size and demand growth
  • Market fragmentation
  • Innovative opportunities
  • Patent protection

37
CHANGING VERTICAL SCOPE OF FIRMS IN OF THE
COMPUTER AND SEMICONDUCTOR INDUSTRIES
38
Understanding the determinants of specialization
and vertical integration in related industries
in uncertain and dynamic environments,
characterized by technological
discontinuities. Major factors capabilities,
technical change and market size Co-evolutionary
processes
39
  • A capability-based, dynamic theory of vertical
    integration and specialization
  • Competence accumulation in specific technological
    and market domains
  • Competence destroying technological change
  • Coordination and integration capabilities
  • Capabilities take time to develop
  • Decisions to specialize and vertically integrate
    are not symmetrical
  • The distribution of capabilities among all
    industry participants are relevant
  • Market selection amplifies the effects of
    capabilities on the vertical scope of firms
  • The identity of firms affects the development of
    capabilities

40
SPECIALIZATION AND INTEGRATION DECISIONS
  • VERTICAL INTEGRATION decision is led by
  • - the relative size of the computer firm compared
    to the largest SC component producer
    (capabilities, RD, innovation)
  • - the age of the SC component technology
  • SPECIALIZATION decision is led by
  • Comparison between the quality of SC components
    produced in-house and the quality of SC
    components available on the market

41
History Friendly Simulation
42
  • TESTING THE MODELCOUNTERFACTUALS
  • Does lack of external markets lead to more
    vertical integration?
  • Do no demand lock-ins in mainframes lead to more
    specialization ?
  • Do no demand lock-ins in semiconductors lead to
    more vertical integration ?
  • Does a minor technological discontinuity in
    microprocessors lead to more vertical integration?

43
No external market for SC
44
Policy exercises
  • Antitrust
  • Public procurement
  • Investment in basic research
  • Unintended consequences
  • - The creation of open standards in computers
    may lead to the emergence of concentration in
    components
  • - Antitrust policy in computers may lead to the
    emergence of a monopolist in the PC market and
    the disappearance of a the merchant component
    industry.
  • -Open standards in systems may lead to the
    emergence of a merchant component industry

45
User- Produce relations
  • Dynamic matching
  • Specific and generic bonus
  • Contact length
  • Exclusive contracts
  • Lead users
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