UID:
kobvindex_INTNLM010897216
Umfang:
1 online resource (viii, 293 p)
,
ill
ISBN:
9781845421564
Serie:
Edward Elgar E-Book Archive
Inhalt:
1. Introduction and overview -- 2. Econometrics and evolutionary economics -- 3. Random walks and non-linear paths in macroeconomics time series : some evidence and implications -- 4. The use of genetic programming in evolutionary economics -- 5. Entropy statistics as a framework to analyse technological evolution -- 6. Complementarity constraints and induced innovation : some evidence from the first IT regime -- 7. An evolutionary approach to the theory of entrepreneurship -- 8. Shakeout in industrial dynamics : new developments, new puzzles -- 9. High growth with "old" industries? : the Austrian paradox revisited -- 10. Changing structure : keeping location : from musical instruments to electronics in the accordion District of Ancona -- 11. Evolutionary thinking in environmental economics : retrospect and prospect
Inhalt:
This book takes up the challenge of developing an empirically based foundation for evolutionary economics built upon complex system theory. The authors argue that modern evolutionary economics is at a crossroads. At a theoretical level, modern evolutionary economics is moving away from the traditional focus of the operation of selection mechanisms and towards concepts of "complex adaptive systems" and self-organisation. On an applied level, new and innovative methods of empirical research are being developed and considered. The contributors take up this challenge and examine aspects of complexity and evolution in applied contexts
Anmerkung:
"Selected papers presented at the second European Meeting on Applied Evolutionary Economics (EMAEE), held at the Vienna University of Economics and Business Administration in September 2001"--Pref
,
Includes bibliographical references and index
Weitere Ausg.:
Available in another form ISBN 9781843763697(hardback)
Weitere Ausg.:
ISBN 1843763699
Weitere Ausg.:
ISBN 1843763699
Weitere Ausg.:
ISBN 9781843763697
Sprache:
Englisch
DOI:
10.4337/9781845421564
URL:
FULL
((Currently Only Available on Campus))
