Discoveries, innovations, and business cycles

There is considerable evidence that the density of basic innovations is peaked at definite periods with intervals of about 40–60 years. This has been used as support for the behavior of economic cycles as postulated by Kontradieff and amplified by Schumpeter. Recently some economists have used this model to forecast economic recovery in the middle or late 1980s.This paper points out that the shape of the clusters of innovation or inventions are different and sharper than those of economic depression or economic recovery. The transfer of knowledge from basic inventions to industrial innovations shortens as one moves from the 18th to the 20th century, and some probable explanations for this are offered. The importance of discoveries and limited discoveries to the process of invention and innovation is discussed. Also shown is that discoveries reveal cluster phenomena which are functionally related to the clusters of invention and innovation.     

Long waves in world industrial production,energy consumption,innovations, inventions,and patents and their identification by spectral analysis

Long-term cycles have been much discussed in the literature since Kondratieff (1926). (“Cycles” is, of course, a quite arbitrary term for these time periods.) Spectral analysis was applied by the authors to long-time series of industrial production, energy consumption, inventions, innovations, and patents in order to reveal quantitative regularities in their behavior and or in their interdependence. An attempt was also made to identify logistics within those time series. In the long cycle of 50–53 years no significant autocorrelation could be detected. Logistics exist only in three special periods for innovations and inventions. Nondominant long cycles do appear in the interaction between innovations, production, patents, and energy consumption. The investigation shed light on the causal structure of the innovation system. In particular, it revealed a significant influence of industrial production on patents with a lag of 9 years.     

Bond market seasonality and business cycles

The objective of this paper is to analyze the impact of business cycles on the monthly seasonality of fixed income securities. In general, the results suggest that the average monthly returns of fixed income securities during economic contractions are higher than during economic expansions. For the government and high-grade corporate bonds, average returns in November are significantly higher in the periods of economic contractions. In addition, no monthly seasonality is found during economic expansions. For the low-grade corporate bond returns, January effect is found in both economic expansions and contractions periods.     

Competing incremental and breakthrough innovation in a model of product evolution

This paper develops a growth model in which product cycles arise endogenously from investment in incremental and breakthrough innovations. Incumbent firms invest in incremental technology improvements with the aim of reducing production costs. Market entrants develop breakthrough product designs in order to capture the market from vintage product lines. The competing objectives of the two types of innovation generate product cycles within an environment of creative destruction, as new products displace old and are then manufactured using production technologies that are continuously refined. Investigating the relationship between innovation incentives and the average length of product cycles, we characterized three stable patterns of product evolution: incremental innovation alone, breakthrough innovation alone, and product cycles with both types of innovation. Numerical examples suggest that when the market exhibits stable product cycles, subsidies to either type of innovation raise the rate of economic growth and improve welfare.     

Stability through cycles

Economic variables like GDP growth, employment, interest rates and consumption show signs of cyclical behavior. Many variables display multiple cycles, with periods ranging in between 5 to even up to 100 years. We argue that multiple cycles can be associated with long-run stability of the economic system, provided that the cycle periods are such that interference is rare or absent. For a large sample of important variables, including key variables for the US, UK and the Netherlands, we document that this is indeed the case.     

A time series analysis of labor productivity. Italy versus the European countries and the U.S.

This paper aims at analyzing labor productivity per hour worked in the manufacturing industries of four industrialized countries, Germany, France, Italy and the U.S., between 1950 and 2010. It uses the common trends - common cycles approach to decompose series into trends and cycles. We find that the four national manufacturing sectors share three common trends and one common cycle. Further, we show that trend and cycle innovations have a negative relationship that supports the ‘opportunity cost’ approach to productivity growth. Finally, trend innovations are generally larger that cycle innovations, with the exception of Italy.     

Economic cycles and downside commodities risk

We de-compose the S&P Goldman Sachs Commodity Index into its underlying commodity sub-categories and develop a modified conditional value at risk (CVaR) metric to examine downside risk linked to economic periods which are classified by their GDP growth as green, yellow, orange and red. We term this new metric economic CVaR (ECVaR). We found significant differences in the relative ECVaR rankings of different commodities over our different economic cycles.     

Emil Lederer and Joseph Schumpeter on Economic Growth,Technology and Business Cycles

This paper compares Joseph Schumpeter and Emil Lederer with respect to their visions concerning the notions of economic growth, technology and business cycles. Their theoretical investigations in a number of thematic areas seem to converge to similar views. More precisely, both Schumpeter and Lederer regard the capitalist economy as a dynamic system where the introduction of innovations is its distinctive characteristic. In such a system, static analysis based on the concept of equilibrium is useful as an expository device to describe the adjustment mechanisms of the economic system. They also paid attention to the emergence of large oligopolistic firms and considered this development as being interwoven with technological progress. Both economists used similar arguments to emphasize the link between economic development and technological change. In their analyses, Schumpeter and Lederer referred to psychological factors motivating the entrepreneur, in order to explain the forces that set in motion the process of innovation and thus economic development. The concept of technological unemployment is also described in a similar manner by both of them. Regarding the issue of business cycles, Schumpeter and Lederer considered them to be a result of endogenous processes within a capitalist economy. Lederer in his late works, argued in a way analogous to Schumpeter, that economic fluctuations are caused from the disruptions created by innovations, which are introduced discontinuously into the economic system. Conclusively, Schumpeter and Lederer delivered theses which are similar in scope and conclusions probably because they were developed in the same social, political, theoretical and ideological environment and were also well acquainted with each other’s ideas.     

Emil Lederer and Joseph Schumpeter on Economic Growth,Technology and Business Cycles

This paper compares Joseph Schumpeter and Emil Lederer with respect to their visions concerning the notions of economic growth, technology and business cycles. Their theoretical investigations in a number of thematic areas seem to converge to similar views. More precisely, both Schumpeter and Lederer regard the capitalist economy as a dynamic system where the introduction of innovations is its distinctive characteristic. In such a system, static analysis based on the concept of equilibrium is useful as an expository device to describe the adjustment mechanisms of the economic system. They also paid attention to the emergence of large oligopolistic firms and considered this development as being interwoven with technological progress. Both economists used similar arguments to emphasize the link between economic development and technological change. In their analyses, Schumpeter and Lederer referred to psychological factors motivating the entrepreneur, in order to explain the forces that set in motion the process of innovation and thus economic development. The concept of technological unemployment is also described in a similar manner by both of them. Regarding the issue of business cycles, Schumpeter and Lederer considered them to be a result of endogenous processes within a capitalist economy. Lederer in his late works, argued in a way analogous to Schumpeter, that economic fluctuations are caused from the disruptions created by innovations, which are introduced discontinuously into the economic system. Conclusively, Schumpeter and Lederer delivered theses which are similar in scope and conclusions probably because they were developed in the same social, political, theoretical and ideological environment and were also well acquainted with each other’s ideas.     

Global and regional linkages across market cycles: evidence from partial correlations in a network framework

Using a novel approach, partial correlations within a complex network framework, we examine the degree of globalization and regionalization of stock market linkages and how these linkages vary across different economic or market cycles. Our results show that geography influences network linkages differently across economic cycles. During normal times, regional factors shape market linkages; however, during periods of turbulence, global rather than regional factors drive the linkages. The network traffic also increases during times of turmoil, but contrary to previous results, we do not find a consistent or overwhelming increase in positive linkages between markets. Also, contrary to expectations, financial centres such as the US, China, Japan, and the UK command a greater regional rather than global influence. Our findings have implications for asset pricing and policy decision making.     

BUSINESS CYCLE,CURRENCY AND TRADE,REVISITED

This paper provides long‐run historical evidence for the link between business cycle synchronization, trade and the exchange rate regime. Using data from a large number of industrialized countries and a group of Asian economies, we examine this link in three sub‐periods: the first globalization period (1870–1913), the bloc economy period (1915–1959) and the second globalization period (1960–2004). The business cycle is identified as the series of deviates from a Hodrick–Prescott filtered trend. Cyclical turning points are located in the business cycles of our sample of 21 major countries, which enables us to comment on the characteristics of business cycles in the three periods. Cross‐correlations of the cyclical deviates are calculated for all the pairs of the 21 countries examined. It is apparent from casual inspection that the business cycle characteristics and the pattern of cross‐correlations in the bloc economy period are different from those found for the two globalization periods, whereas there is less difference between the two globalization periods. Following the estimations by Frankel and Rose, we relate business cycle synchronization to trade patterns and currency unions. Consequently, we find that European integration was already discernible in terms of business cycle synchronization in the early 1900s and that a similar synchronization was not discernible for Asia.     

Nonlinear dynamism of innovation and business cycles

The aim of this paper is to describe the nonlinear dynamism of innovation and to clarify the role of innovation for economic development in terms of Kondratiev business cycles, especially the causal relation of the bubble economy and depressions with innovations. Any paradigm of technological innovation develops within a definite time span reaching maturity. This nonlinear nature clarifies many characteristic features of innovation. Schumpeters innovation theory on business cycles is examined through this dynamism. Trunk innovation is defined as that which plays a decisive role in building infrastructures and inducing subsequent innovations. Every innovation has its own technological development period just before the innovation diffusion. The emergence of new markets can be estimated by chasing the ongoing technologies.JEL Classification: E32, L16, O11, O14, O30Paper presented at the 9th Conference of the International J.A. Schumpeter Society, Gainesville, Florida, USA.Previous affiliation was Ryutsu Kagaku University, Faculty of Information Science, Kobe, Japan.     

Canadian economic growth: random walk or just a walk?

This paper analyses the role of shocks in Canadian economic growth since 1870. It uses a nonparametric technique to evaluate the degree of presistence of an innnovation in long-run GNP. It is found that a one percent shock to Canadian GNP changes the long-run forecast of this variable by appproximately the same amount, which is characteristic of a random walk process. It is also shown that in important periods of Canadian economic growth its GNP evolved as a random walk with constant drift. With the exception of the period 1929–42, no evidence of business cycles is found. These results lead to the conclusion that movements and oscillations in the GNP of Canada since 1870 have been primarily driven by the accumulation of shocks rather than by cyclical movements.     

Cyclical behavior of crude oil markets and economic recessions in the period 1986–2010

For at least one century, crude oil has been one of the most important commodities for the worldwide economic activity. Important technological innovations, including chemical transformation processes and transportation systems, have been based on the availability or not of crude oil. In this way, a close understanding of the crude oil market dynamics should provide insights in important aspects related to potential directions of technological change for both improving crude oil transformation efficiency and substitution by alternative energy sources. This paper studies the dynamics of the crude oil price for the period from 1986 to 2010. To this end, the entropy time-asymmetry is computed along the price trajectory. Empirical results indicated the presence of a non-regular cyclical behavior with a dominant period of about 4.5 years. Some evidences pointing toward a comovement of entropy time-asymmetry peaks with major US economic recessions are found, suggesting a tight relationship between macroeconomy and crude oil prices. The results are discussed in terms of the major economic events that occurred in the upward and downward cycle periods and potential implications for the design of energy policies.     

中国近代的经济增长和中长周期波动

从鸦片战争到全国解放的历史时期,中国经济发展总体状况如何?一百余年间,中国经济增长的速度是快还是慢?这一百余年的经济史如何划分阶段?该文利用可以找到的中国近代经济统计资料,运用数理分析方法对中国经济近代化的程度、发展状况进行度量和分析,以回答上述问题.该文的研究始于19世纪80年代,止于20世纪30年代中期,由中国近代的经济增长;中国近代经济发展的中长周期波动;中国近代经济增长的总趋势与发展阶段三个部分组成.     

Great moderation or “Will o’ the Wisp”? A time–frequency decomposition of GDP for the US and UK

In this paper the relationship between the growth of real GDP components at different cycle lengths is explored in the frequency domain using discrete wavelet analysis. This analysis is done for both the US and the UK using quarterly data, and the results reveal interesting differences between the two countries. One of the key findings is that the “great moderation” shows up only at certain frequencies, and not in all components of real GDP. A second result is that the great moderation appears to have shifted cyclical power from shorter and business cycles to long cycles, which has important implications for both policy formulation and the probability of less frequent but more severe economic crises. We use these results to explain why the incidence of the great moderation has been so ephemeral across GDP components, countries and time periods. This also explains why it has been so hard to detect periods of moderation (or otherwise) reliably in the aggregate data.     

谱分析方法在市场经济周期研究中的应用—以温州市为例

经济周期的理论必然涉及经济周期长度的研究，相对于常用的自回归移动平均方法，谱分析方法具备一定的优点。本文以温州市1978－1998年国内生产总值指数作为市域经济发展水平的量度，利用谱分析确定了四个不同的周期，并对其成因进行了初步探讨。     

Common socio-economic cycle periods

We present a meta-analysis of cycle periods in historical socio-economic data found in the K-wave literature. The literature on stochastic and deterministic cycles in variables such as the consumer price index, employment, interest rates, commodity prices, GDP, war and hegemony is huge and scattered. However our meta-analysis reveals various commonalities. Our key finding is that there is a common set of cycle periods that is common across most socio-economic variables.     

The role of real and monetary shocks in explaining business cycle fluctuations

The essay brings empirical evidence to bear on the ability of real and monetary shocks to explain busines cycles. Using vector autoregressive techniques it is found that both real and monetary shocks are able to explain substantial portions of the innovations in output and unemployment.     

The product innovation process and GDP dynamics

In this paper, we explain GDP dynamics through an analysis of the forces that modify the structure of the economy. These forces are represented by the entry of new firms and product innovations. Our model is inspired by Bak’s sand pile model, and the entry of a new firm or innovation is comparable to dropping a grain of sand in Bak’s model. The resulting model involves the insights of both Keynes and Schumpeter. It could be defined as Keynesian because the aggregate output is demand driven. That said, the model can mainly be labeled as Schumpeterian for several reasons: (i) innovations have a key role, (ii) credit is involved in supporting the innovation process, (iii) innovations partially destroy old industries, and finally (iv) without innovations, the system gradually approaches its stationary state. In this simple model, the change in the number of sectors (products) of the economy is the decisive factor with the following results: (1) the aggregate production has an increasing trend; (2) fluctuations are asymmetric; (3) recessions have a “creative destruction” explanation; (4) “classical” cycles are gradually replaced by “growth” cycles.