There are several modern timing versions of the cycle although most are based on either of two causes: one on technology and the other on the
credit cycle. Additionally, there are several versions of the technological cycles and they are best interpreted using diffusion curves of leading industries. For example, railways only started in the 1830s, with steady growth for the next 45 years. It was after Bessemer steel was introduced that railroads had their highest growth rates. However, this period is usually labeled the age of steel. Measured by value added, the leading industry in the U.S. from 1880 to 1920 was machinery, followed by iron and steel. Any influence of technology during the cycle that began in the Industrial Revolution pertains mainly to England. The U.S. was a commodity producer and was more influenced by agricultural commodity prices. There was a commodity price cycle based on increasing consumption causing tight supplies and rising prices. That allowed new land to the west to be purchased and after four or five years to be cleared and be in production, driving down prices and causing a depression as in 1819 and 1839. By the 1850s, the U.S. was becoming industrialized. The technological cycles can be labeled as follows: • Industrial Revolution (1771) • Age of Steam and Railways (1829) • Age of Steel and Heavy Engineering (1875) • Age of Oil, Electricity, the Automobile and Mass Production (1908) • Age of Information and Telecommunications (1971) Some argue that this logic can be extended. The custom of classifying periods of human development by its dominating
general purpose technology has surely been borrowed from historians, starting with the
Stone Age. Including those, authors distinguish three different long-term meta
paradigms, each with different long waves. The first focused on the transformation of material, including
stone,
bronze, and
iron. The second, often referred to as the
Industrial Revolution and
Second Industrial Revolution, was dedicated to the transformation of energy, including
water,
steam,
electric, and
combustion power. Finally, the most recent metaparadigm aims at transforming
information. It started out with the proliferation of
communication and
stored data and has now entered the age of
algorithms, which aims at creating automated processes to convert the existing information into actionable knowledge. Several papers on the relationship between technology and the economy were written by researchers at the
International Institute for Applied Systems Analysis (IIASA). A concise version of Kondratiev cycles can be found in the work of Robert Ayres (1989) in which he gives a historical overview of the relationships of the most significant technologies.
Cesare Marchetti published on Kondretiev waves and on the diffusion of innovations. Arnulf Grübler's book (1990) gives a detailed account of the diffusion of infrastructures including canals, railroads, highways and airlines, with findings that the principal infrastructures have midpoints spaced in time corresponding to 55-year K wavelengths, with railroads and highways taking almost a century to complete. Grübler devotes a chapter to the long economic wave. In 1996,
Giancarlo Pallavicini published the ratio between the long Kondratiev wave and information technology and communication.
Korotayev et al. recently employed
spectral analysis and claimed that it confirmed the presence of Kondratiev waves in the world GDP dynamics at an acceptable level of statistical significance. Korotayev et al. also detected shorter business cycles, dating the Kuznets to about 17 years and calling it the third harmonic of the Kondratiev, meaning that there are three Kuznets cycles per Kondratiev. Leo A. Nefiodow shows that the fifth Kondratieff ended with the global economic crisis of 2000–2003 while the new, sixth Kondratieff started simultaneously. According to Leo A. Nefiodow, the carrier of this new long cycle will be health in a holistic sense—including its physical, psychological, mental, social, ecological and spiritual aspects; the basic innovations of the sixth Kondratieff are "psychosocial health" and "biotechnology". More recently, the physicist and systems scientist
Tessaleno Devezas advanced a causal model for the long wave phenomenon based on a generation-learning model and a nonlinear dynamic behaviour of information systems. In both works, a complete theory is presented containing not only the explanation for the existence of K-Waves, but also and for the first time an explanation for the timing of a K-Wave (≈60 years = two generations). A specific modification of the theory of Kondratieff cycles was developed by
Daniel Šmihula. Šmihula identified six long-waves within modern society and the capitalist economy, each of which was initiated by a specific technological revolution: • Wave of the Financial-agricultural revolution (1600–1780) • Wave of the Industrial revolution (1780–1880) • Wave of the Technical revolution (1880–1940) • Wave of the Scientific-technical revolution (1940–1985) • Wave of the Information and telecommunications revolution (1985–2015) • Hypothetical wave of the post-informational technological revolution (Internet of things/
renewable energy transition?) (2015–2035?) Unlike Kondratieff and Schumpeter, Šmihula believed that each new cycle is shorter than its predecessor. His main stress is put on technological progress and new technologies as decisive factors of any long-time economic development. Each of these waves has its innovation phase which is described as a technological revolution and an application phase in which the number of revolutionary innovations falls and attention focuses on exploiting and extending existing innovations. As soon as an innovation or a series of innovations becomes available, it becomes more efficient to invest in its adoption, extension and use than in creating new innovations. Each wave of technological innovations can be characterized by the area in which the most revolutionary changes took place ("leading sectors"). Every wave of innovations lasts approximately until the profits from the new innovation or sector fall to the level of other, older, more traditional sectors. It is a situation when the new technology, which originally increased a capacity to utilize new sources from nature, reached its limits and it is not possible to overcome this limit without an application of another new
technology. At the end of an application phase of any wave there is typically an economic crisis and
economic stagnation. The
2008 financial crisis is a result of the coming end of the "wave of the Information and telecommunications technological revolution". Some authors have started to predict what the sixth wave might be, such as
James Bradfield Moody and Bianca Nogrady who forecast that it will be driven by
resource efficiency and
clean technology. On the other hand, Šmihula himself considers the waves of technological
innovations during the modern age (after 1600 AD) only as a part of a much longer "chain" of technological revolutions going back to the pre-modern era. It means he believes that we can find long
economic cycles (analogical to Kondratiev cycles in modern economy) dependent on technological revolutions even in the
Middle Ages and the
Ancient era. == Criticism of Kondratiev theory ==