EMEA7: New Growth Models

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EMEA7: New Growth Models

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No one won a Nobel Prize for consumer or producer theory, as the main ... Recall that. Human Capital -5. This leads to ... GM investigate two alternative models ... – PowerPoint PPT presentation

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Title: EMEA7: New Growth Models


1
EMEA7 New Growth Models
  • Romers model
  • Learning by doing
  • Competitive markets
  • Human capital
  • Applications?
  • Greenhouse gas emission reduction, technology,
    and cost-effectiveness

2
Nobelity
  • No one won a Nobel Prize for consumer or producer
    theory, as the main architects were long dead in
    1948
  • Leontief got one for input-output models
  • Arrow and Debreu for general equilibrium
  • Solow for growth theory, and Koopmans too
  • No one got a Nobel Prize for new growth theory,
    because there are four contending models (three
    shown here), while it is not clear which will
    become the new standard

3
New Growth Models
  • We looked at models in which economic growth was
    driven by exogenous investments and technology
    (Solow-Swan)
  • We looked at models in which economic growth was
    driven by endogenous investments and exogenous
    technology (Ramsey-Cass-Koopmans)
  • These models cannot explain income differences,
    and only 25 of long-term growth
  • Today, we endogenise technology change

4
Romers Model
  • Output follows from
  • That is, part of the capital and labour inputs
    are used for technological development

5
Romers Model -2
  • Forget about capital for a while
  • The growth rate of knowledge
  • Which is zero if
  • Note a faster growing population implies faster
    economic growth

6
Romers Model with Capital
  • Reintroduce capital
  • The growth rate of knowledge
  • This economy always converges if ß?lt1, always
    diverges if ß?gt1
  • (This is because labour growth is given)

7
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8
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9
Learning by Doing
  • Knowledge depends on capital
  • The dynamics of capital follow
  • This is structurally similar to
  • We looked at this model before. The dynamics are
    quite the same, regardless of physical or human
    capital.

10
Endogenous Technology and Competitive Markets
  • Above, we tacitly assume that markets are
    perfect, one of the implications of which is that
    capital earns its marginal productivity
  • This assumption cannot be maintained when looking
    at endogenous technology
  • Suppose that a firm invest 10,000 hours to design
    a 20 MB drive, and then produces 20 trillion MB
    with a 10 million factory and 100 workers
  • If it doubles capital and labour, 4 trillion MB
    worth of disk space is produced

11
Endogenous Technology and Competitive Markets -2
  • If the firm invests 20,000 hours, it designs a 30
    MB drive, and with 20 million factory and 200
    workers, 60 trillion MB is produced, more than
    twice the original amount
  • This is because the design of the disk drive is
    non-rival it can be used in unlimited quantities
  • More formally,

12
Endogenous Technology and Competitive Markets -3
  • This implies that
  • And that
  • So, if the firm sells at marginal costs, paying
    the marginal costs of labour and capital, it
    would make a loss as there is no money left for
    the technology investment
  • Perfectly competitive markets do not innovate

13
Human Capital
  • The above models do not account for observed
    income differences one needs to assume that
    technologies are very different, and diffusion is
    very slow
  • This problem can be overcome by distinguishing
    two types of capital physical and human
  • Because of non-linearities in the production and
    accumulation functions, allowing for two capital
    stocks makes the growth rate more sensitive to
    changes in savings

14
Human Capital -2
  • Output follows from
  • Assume the usual about capital and labour
  • Knowledge grows exogenously, but human capital
    requires investment

15
Human Capital -3
  • Per effective labour (AL)
  • Physical capital dynamics are given by
  • Human capital dynamics follow
  • The economy converges to a steady state

16
Steady States
  • One reason why it is interesting to know whether
    a model has a steady state, or balanced growth
    path, is that one needs not be overly concerned
    with disequilibrium dynamics particularly not
    if the rate of convergence is rapid
  • Disequilibrium is just noise
  • Note that convergence rates are much slower in
    natural systems

17
Human Capital -4
  • On the balanced growth path
  • Taking logs and solving for lnk and lnh
  • Recall that

18
Human Capital -5
  • This leads to
  • Suppose that a0.35 and ß0.40, then the
    elasticity of output to investments in physical
    and human capital is 1.4 and 1.6, respectively,
    but only 0.54 in the Solow model

19
Applications
  • New growth theory, as its name suggests, is
    relatively new
  • There are only a few applications to
    environmental issues so far
  • Those applications are not very insightful, for
    various reasons
  • First, the nature of technological development
    only matters in the long run (for all issues
    except the short term policy portfolio)

20
Applications -2
  • Those applications are not very insightful, for
    various reasons
  • Second, the role of technology in the short term
    policy portfolio is qualitatively clear. More
    serious problems, and problems with a longer time
    horizon require substantial technological
    progress. Stimulating technology requires
    continuous pressure (taxes, evolving standards),
    RD subsidies or niche markets. The government
    should only interfere with basic research.

21
Applications -3
  • Those applications are not very insightful, for
    various reasons
  • Third, serious applications require a solid
    empirical foundation. Unfortunately, technology
    is hard to measure. As a consequence,
    technological progress is even harder to measure,
    let alone changes in the rate of technological
    progress as a result of policy interventions in
    the economy or in research and development.

22
New Growth and Climate
  • New growth theory did contribute something to
    climate change
  • In 1994, Enting et al. (IPCC WG1) published a set
    of emission scenarios that would lead to
    atmospheric stabilisation
  • In 1996, Wigley et al. (IPCC WG3) countered with
    a set that would reduce the same targets at much
    lower cost
  • This is a cost-effectiveness analysis How to
    reach a given target at minimum cost

23
Efficacy and Efficiency
  • In a cost-effectiveness analysis, the question is
    how to reach a given target at minimum cost
  • In a cost-benefit analysis, the question is how
    to set and reach the target so as to maximise
    welfare, or rather how to reach economic
    efficiency
  • (Some people use the word cost-efficiency, but
    thats not English)

24
WGI v WRE
  • WRE argued that it is better to decelerate
    emission reduction in the short run, accelerate
    in the medium run, because
  • Later emissions contribute more to climate change
  • One should replace capital at the end of its
    lifetime
  • The discount rate makes future emission reduction
    costs less important
  • Technological change will make future emission
    reduction easier and cheaper
  • Counterargument Action now to stimulate
    technological development

25
Goulder and Mathai
  • GM investigate two alternative models
  • Emission reduction costs fall if the stock of
    knowledge grows
  • GM1 The knowledge stock grows with investment
  • GM2 The knowledge stock grows with experience
  • As the models are quite different, also from the
    model with exogenous technology, calibration is
    very tricky

26
Goulder and Mathai -2
  • If the mechanism is research and development,
    then initial abatement falls but abatement rises
    more steeply
  • If future emission reduction is cheaper, one
    would want to do more later as the target is
    the same, one starts lower
  • Investing in technology has a higher payoff in
    earlier periods than in later ones
  • In earlier periods, there is a trade-off between
    investing in RD and abatement

27
Goulder and Mathai -3
  • If the mechanism is learning by doing, then one
    cannot say whether initial abatement falls and
    rises, and ditto for later times
  • The reason is that early abatement makes later
    abatement cheaper and this is a reason to
    increase early abatement
  • As a result, later abatement gets cheaper and
    this is a reason to reduce early abatement
  • The data are not there to tell which of the two
    effects is stronger
  • (Note RD is data independent)

28
New Growth Theory
  • New growth theory endogenises technological
    progress and so one of the key drivers of
    long-term growth and income differences
  • Unfortunately, there is no model (yet) that can
    do both
  • Lack of data hinder the application of new growth
    theory, but it can be used to look at trade-offs
    between action now and preparing for action later
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