Trends in the substitution of production factors to technology—empirical analysis of the inducing impact of the energy crisis on Japanese industrial☆
References (40)
Survey of the Trends in Technology
(1963)Impact of Technology Import on Japanese Economy, Technology and Society
(1985)Energy Strategy for the Third Generation
(1983)Energy and Economic Growth in the United States
(1979)- et al.
Technology, Prices and Derived Demand for Energy
The Review of Economics and Statistics
(1975) The Rate of Obsoleteness to Technical Knowledge - A Note
Journal of Industrial Economics
(1978)- et al.
Transcendental Logarithmic Production Frontiers
The Review of Economics and Statistics
(1973) White Paper on the Japanese Economy-Economic Survey of Japan
(1975)White Paper on the Japanese Economy-Economic Survey of Japan
(1976)White Paper on the Japanese Economy-Economic Survey of Japan
(1983)White Paper on the Japanese Economy-Economic Survey of Japan
(1985)White Paper on the Japanese Economy-Economic Survey of Japan
(1989)Strategy Challenging the New Efficient Management and R&D
(1982)- et al.
Total Factor Productivity: Macroeconomic and Structural Aspect of the Slowdown
OECD Economic Studies
(1988)
Indicators of International Trends in Technological Innovation
Report to the National Science Foundation
The National Wealth of the United States in the Postwar Period
Economic Analysis on R&D and Technological Progress
Report to Economic Planning Agency
R&D Capital, Rate of Return on R&D Investment and Spillover of R&D in Japanese Manufacturing Industries
The Review of Economics and Statistics
An Intercountry Translog Model of Energy Substitution Responses
The American Economic Review
R&D, Patents and Productivity
Report on the Promotion of Research Industry
Sources of Technological Innovation in Japan
Changing R&D and Capital Investment
Capital Investment Study
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Digitalized bioeconomy: Planned obsolescence-driven circular economy enabled by Co-Evolutionary coupling
2019, Technology in SocietyCitation Excerpt :In addition, as reviewed in Fig. 12, given firms’ planned obsolescence management strategy, their rate of obsolescence of technology is subject to the long-term interest rate, as demonstrated in Fig. 16 (see the detailed mechanism in Appendices 1 and 2). Based on the foregoing review and the historical review with international comparisons [41,47–51,61], the rate of obsolescence of technology in UPM over the 1990–2017 period was estimated, as illustrated in Fig. 17 (see the details of the estimation approach and estimated values in Appendices 3 and 4). Dynamic change in rate of obsolescence of technology, as reviewed in Fig. 12, evidence the capacity of firms to change lead time between R&D and commercialization (m), as illustrated in Fig. 18 (see the details of estimated values in Appendix 4).
The influence of energy prices on adoption of clean technologies and recycling: Evidence from European SMEs
2014, Energy EconomicsCitation Excerpt :An induced innovative behavior is identified when regulation or changes in relative prices spur innovation within the firm. This idea/argument was firstly suggested by Hicks (1932) and has been recently further developed both in general innovation economics (Lichtenberg, 1986; Watanabe, 1992) and environmental studies (Jaffe and Palmer, 1997; Lanjouw and Mody, 1996; Newell et al., 1999; Popp, 2006a). In particular, numerous empirical studies have explored the effect of environmental regulation on eco-innovation (Popp, 2006b for coal-fired power plants; Popp et al., 2007 for bleaching technologies in the pulp industry) or show how high factor prices have led to the adoption of more energy efficient technologies in air conditioning and water heating (Newell et al., 1999), coal liquefaction, and solar and fuel energy (Popp, 2002).
The challenges in Singapore NEWater development: Co-evolutionary development for innovation and industry evolution
2011, Technology in SocietyCitation Excerpt :While the dynamism enabling its technology leapfrogging was successfully elucidated, the conceptualization and operationalization of this dynamism is required for broad application. This paper uses an empirical analysis utilizing diffusion [8–10], learning [11–13,22], and substitution [5,14–16] theories. It then does a cross evaluation and interpretation based on the analyses of the co-evolution [17,18] with institutional systems [5,19–22] and “acclimatization” [23] theories, in order to demonstrate that innovations emerging from research and development in NEWater improves the institutional systems which in turn induces further innovation.
Japanese and US perspectives on the National Innovation Ecosystem
2008, Technology in Society
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I am grateful to Mr. Irawan Santoso for his computer work and also to the referees for their valuable advice.