Knowledge, Innovation and Economy

An Evolutionary Exploration

Witold Kwasnicki经济学院omic Sciences, Wroclaw University, Poland

In Knowledge, Innovation and Economy, Witold Kwasnicki examines industrial dynamics from an evolutionary perspective, applying a biological model to the analysis of economic problems.

‘This book presents an excellent evolutionary analysis of core constructs of industrial economics using a simulation model targeted primarily on pricing strategy and product competition. . . . this is a solid contribution to the stream of work focused on the complexity of industry growth processes. . . . the work deserves attention from those using simulation models of industry development and those who are interested in developing the product/demand side of evolutionary theory.’
– Herbert L. Schuette, Journal of Evolutionary Economics

‘The book does three things very well. First, it gives a very interesting commentary on methodology and the nature of knowledge in the natural sciences, and in economics. Second, it provides a rich and thoughtful view of evolutionary processes in general, and evolutionary processes in economics in particular. Third, it contains a very interesting simulation model, together with a fine general discussion about the roles, and limitations, of such models, in economic analysis.’
– Richard R. Nelson, Columbia University in the City of New York, US

‘The merit of this book lies as much in the effort to develop an elegant non-neo-classical approach to economies, as in the clear understanding of the limitations and weaknesses of evolutionary tradition. The author recognises the fact that the evolutionary approach is still “far from being a coherent and complete theoretical system”. The promise of the approach, as the author would like to suggest arises out of its roots in the foundation of modern science. The book is a must for the graduate students of economics, as well as researchers in the field of industry and innovation.’
– Pradosh Nath, Journal of Scientific and Industrial Research