On the long-run evolution of technological knowledge

This paper revisits the debate about the appropriate differential equation that governs the evolution of knowledge in models of endogenous growth. We argue that the assessment of the appropriateness of an equation of motion should not only be based on its implications for the future, but that it should also include its implications for the past. We maintain that the evolution of knowledge is plausible if it satisfies two asymptotic conditions: Looking forwards, infinite knowledge in finite time should be excluded, and looking backwards, knowledge should vanish towards the beginning of time (but not before). Our key results show that, generically, the behavior of the processes under scrutiny is either implausible in the past and plausible in the future, or vice versa, or implausible at both ends of the time line.We would like to thank Ernst-Ludwig von Thadden, seminar participants at the University of Mannheim, two anonymous referees, and the editor for helpful comments. Andreas Irmen likes to express his gratitude to CESifo, Munich, for financial support and its hospitality. JEL Classification Numbers: O11, O31, O40     

Mapping technological development using patent citation trees: an analysis of bogie technology

We create a generational patent citation tree to reveal the development of bogie technology in the high-speed rail industry. We cull the information in patent citations to reveal the generational development of bogie technology by analysing patent titles, patent publication dates and patent-granting regions. We then measure the development of bogie technology by calculating its technological development on-orbit rate and by mapping the stages of technological development and its regional diffusion. The results show that bogie technologies are in a period of sustained growth and this period of sustained growth will remain. Technological development is accelerating and this acceleration will persist, although the global dispersion of technology lags behind in scope and speed.     

A re-examination of the technological catching-up hypothesis across OECD industries

This study re-examines the catching-up hypothesis at the industry level across the main OECD countries, using panel data econometric models involving technological gap indicators calculated with a nonparametric distance function suggested by Färe et al. [Färe, R.S., Grosskopf, M.N., Norris, M., Xhang, Z., 1994. Productivity growth, technical progress, and efficiency change in industrialized countries. American Economic Review 84, 66–83]. The results show that there is statistical evidence of a catching-up process at the industry level. Moreover, both tradables and nontradables sectors exhibit catching-up effects and technology adoption from abroad. This result complements the findings by Bernard and Jones [Bernard, A.B., Jones, C.I., 1996a. Comparing apples to oranges: productivity convergence and measurement across industries and countries. American Economic Review 86(5), 1216–1238., Bernard, A.B., Jones, C.I., 1996b. Productivity across industries and countries: Time series theory and evidence. Review Of Economics and Statistics 78, 135–146], Gouyette and Perelman [Gouyette, C., Perelman, S., 1997. Productivity convergence in OECD services industries. Structural Change and Economic Dynamics 8, 279–295] and Hansson and Henrekson [Hansson, P., Henrekson, M., 1997. Catching up, social capability, government size and economic growth, in V. Bergström, eds, Government and Growth, Oxford: Clarendon Press, 61–126] that there is no (or even a slow) catching-up effect in the manufacturing sector. Moreover, social capability indicators evaluated for each country show that “Non-European” and “Central European” tradables sectors have a rather similar degree of inefficiency while “North European” countries are less efficient for both tradables and non-tradables. Lastly, both the cross country and the cross sectors dispersions of inefficiency levels are smaller for tradables sectors than for non-tradables.     

Exploring technological resilience at the country level with patents

Resilience is critical to stabilise and reduce shocks and create advantages over competitors in environments with dramatic change and unexpected crises. There is no generally agreed-upon definition of technological resilience, and there is not yet a well-developed theory of technological resilience at the country level. The objective of this paper is to contribute to technological resilience research based on patent indicators by analyzing OECD countries’ technological resilience. This paper provides a framework to analyze the quality of selected patent indicators used for estimating technological crisis. More specifically, four sets of patent indicators, i.e. collaboration, knowledge, diversity, and legal protection, are employed to evaluate technological resilience, which is characterised as crisis probability, intensity, and duration. We found that higher technological coverage leads to higher crisis probability, more original technology leads to higher crisis intensity, and interpersonal collaboration enhances the chance of passing a crisis.     

Persistent income gaps in an occupational choice model with multi‐goods

In this study, we propose a theory to explain why income gaps persist. We model a simple overlapping‐generations economy with three consumption goods and two types of workers. We find that high‐skilled workers have comparative advantage in skill‐intensive jobs and low‐skilled workers in less skill‐intensive jobs. This pattern of comparative advantage determines occupational choices by workers. Combined with human capital accumulation, the occupational choices widen income gaps between families. At the same time, the relative price of skill‐intensive goods declines owing to productivity improvement. The decline holds back income gaps from exploding. The implications of skill‐biased technological change are also examined.     

On the impacts of carbon tax and technological progress on China

Using a dynamic national computable general equilibrium model, we investigate the impact of carbon tax and energy efficiency improvement on the economy and environment of China. The Chinese social account matrix is presented based upon the latest input–output table (2012 IO table) and other data. The business as usual (BAU) scenario is designed according to several forecasts about China by 2030, followed by six policy scenarios, including different levels of carbon tax and technological progress as well as their combinations. The results show that carbon tax will frustrate the overall economic growth slightly. The CO₂ emission will be 13.81% lower in 2030 compared to BAU case if the carbon tax scheme is carried out at a rate of 200 RMB/ton of CO₂. Technological progress will stimulate the economic growth, enrich the household and government income, increase total investment and make most sectors prosperous with the exception of energy industries.     

The effect of external partner heterogeneity on open innovation: the moderating role of the technological regime

There is widespread agreement that open innovation (OI) is strongly influenced by external partner heterogeneity. While previous studies have examined partner heterogeneity using quantitative analysis, the implications of a weighted assignment using an external partner heterogeneity index have received less attention. The purpose of this study is to develop a modified partner heterogeneity model. Specifically, using a questionnaire survey of Chinese firms, we develop a new method to measure partner organisational heterogeneity (POH). Then, the moderating factors of an industry's technological environment, termed the technological regime, are introduced. The empirical analysis shows that the technological regime is positively correlated with POH and OI performance. Hence, an advanced technological regime improves POH and OI performance by incorporating external resources and increasing innovation potential.     

A driving force for sustainable economic growth in China from the wave-like effects of technological diffusion

This paper analyses the influence of the spatial association of different provinces on technological diffusion and economic growth, using panel data from 30 Chinese provinces from 2005 to 2016. The results show that firstly, there is a strong spatial correlation in economic growth between the provinces from Moran’s I index and Geary’s C index. Secondly, the decomposition of the direct and indirect effects in the spatial Durbin model reveals that foreign direct investment is a crucial factor for sustained economic growth. Last but not least, technological diffusion, exhibited in wave-like characteristics in China.     

The empirical analysis of the determinants for environmental technological change: A research agenda

Technological change is usually considered a necessary albeit not sufficient condition for a transition to sustainability. However, the empirical analysis of the determinants to environmental technological change has not received too much attention in the environmental/ecological economics literature and many open questions remain in this context. Based on a careful review of the literature, this paper argues that further analysis should address several issues at different levels: i.e., regarding the conceptual framework, the thematic scope of the studies, some methodological issues and other aspects related to the environmental policy variable. First, an integrated conceptual framework which takes into account the interplay between relevant variables influencing environmental technological change (i.e., factors internal and external to the firm and characteristics of the environmental technologies) and all the stages of this process, with a greater emphasis on the invention stage, should be developed. Other aspects should then be tackled, including a focus on several themes (i.e., a greater attention to cross-sectoral technologies, the barriers to different types of environmental technologies, the international dimension of environmental technological change and environmental technological change in small and medium size enterprises), methodological issues (combination of case studies and econometric modelling) and several issues related to the environmental policy variable.     

Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach

The strategic importance of monitoring technological changes is highlighted given the ever faster pace and increasing complexity of technological innovation. In this respect, patent citation analysis has been the most frequently adopted tool among others. However, patent citation analysis is subject to certain drawbacks that stem from only consideration of citing-cited information and time lags between citing and cited patents. This study proposes a formal concept analysis (FCA)-based approach to developing a dynamic patent lattice that can analyze complex relations among patents and monitor trends of technological changes. The FCA is a mathematical tool for grouping objects with shared properties based on the lattice theory. The distinct strengths of FCA, vis-á-vis other methods, lie in structuring and displaying the relations among objects from a massive amount of data. For the purpose of technology monitoring, the FCA is modified to take into account time periods and changes of patent keywords. A patent context is first constructed with the aid of domain experts and text mining technique. Two types of dynamic patent lattices are then developed by executing the modified FCA algorithm. A case study of laser technology in lithography for semiconductor manufacturing shows that the suggested dynamic patent lattice has considerable advantages over conventional patent citation maps in terms of visualization and informative power.     

Stimulating different types of eco-innovation in the UK: Government policies and firm motivations

In this paper, we adopt a recent OECD framework and examine the role of external policy tools and internal firm specific factors for stimulating three different types of eco-innovations that range on a spectrum of lower to higher technological and environmental impacts: End-of-Pipeline Pollution Control Technologies, Integrated Cleaner Production Technologies and Environmental R&D. Using a novel firm-level dataset from a DEFRA survey, we estimate a Tobit model, which provides empirical evidence showing that these eco-innovations are motivated by different external policy tools and internal firm specific factors. Our findings indicate that End of Pipeline Technologies and Integrated Cleaner Production Technologies are mainly driven by equipment upgrade motives with a view of improving efficiency while environmental regulations are effective in stimulating the End-of-Pipeline technologies and Environmental R&D. Interestingly, alongside government induced regulations, we find that market factors, mainly motivated by cost savings, are effective in driving Environmental R&D. Finally, ISO14001 certification is effective in strengthening the positive impact of environmental management systems on both End-of-Pipeline technologies and Environmental R&D while CSR policies have no significant impact on motivating any of the eco-innovations.     

A note on the organic composition of capital and profit rates

It is widely believed that the rate of profit across industrialsectors, while not in fact uniform as stipulated in the theoryof prices of production, is independent of the sectoral organiccomposition of capital. It follows that the simple labour theoryof value must be systematically in error as a predictor of actualsectoral aggregate prices. We offer empirical evidence fromthe US economy (1987 input–output table) suggesting thatthis is not so: there is a substantial and statistically significantnegative association between organic composition and profitrate across sectors.     

An alternative approach to the monitoring of technological diffusion via foreign direct investment: evidence from the Greek manufacturing sector

The existing studies of foreign direct investment and the corresponding technological diffusion process that they generate, focus either on specific parameters of the production process in isolation, or they combine certain parameters to construct indices that are not consistent across studies. The present analysis proposes an alternative approach that captures the entire production process and multinational firms are viewed as the platform that transfers more advanced technologies to the host countries. As multinational firms are able to utilise more efficiently the available production process, an efficiency gap ensues between the domestically owned firms of a country and the multinational firms that operate in it. We capture and provide a measure and a monitoring mechanism of the technological diffusion process via foreign direct investment through the evolution of the efficiency gap between the two groups of firms whilst controlling for other variables that might contribute to such a gap. We apply our approach to the manufacturing sector of the Greek economy that experiences a consistent presence of foreign direct investment inflows over the time period 2001–2007.     

Creative Destruction and the Rise of Inequality

Common wisdom interprets the rise in inequality of the last two decades as the result of a skill-biased labor demand shift. This explanation does not account for two important observations: (i) within-group inequality has also markedly risen, and (ii) the rise of inequality has been accompanied by a rise of the volatility of earnings. This paper argues that a dual labor market structure, where some workers are paid efficiency-wages can account for the empirical regularities, in the absence of skilled biased technological change. The analysis demonstrates that an unbiased innovation, as well as North–South trade, can contribute to the efficiency wage premium, and thus to wage inequality, by increasing labor turnover.     

Weaker jobs,weaker innovation. Exploring the effects of temporary employment on new products

This work explores the relationship between temporary employment and product innovation focusing on five major European economies (France, Germany, Italy, Spain and the Netherlands) observed between 1998 and 2012. The analysis distinguishes sectors according to their technological characteristics and regimes finding that industries using temporary employment tend to have a weaker product innovation propensity. The negative correlation between temporary employment and innovation turns out to be stronger in those sectors where tacit firm’s specific knowledge is crucial to the development of innovations. These sectors are identified using both the ‘Cumulativeness’ proxy stemming from Peneder’s classification as well as distinguishing between different Schumpeterian regimes – Schumpeter Mark I vs. II – of knowledge accumulation.     

The impacts of innovations and standards on trade of measurement and testing products: empirical results of Switzerland’s bilateral trade flows with Germany, France and the UK

Nowadays, the impact of the measurement and testing infrastructure on economic performance and trade is theoretically and even politically widely accepted. However, there are no empirical studies on this issue. The purpose of this paper is to elucidate the impact of innovative capacity and technical standards as one important part of the measurement and testing infrastructure on international trade flows and competitiveness. In order to focus on the direct causality between innovative technology and measurement and testing standards and the respective market, the empirical analysis concentrates on the trade of measurement and testing products of a country with a top position in measurement and testing technology. In its empirical analysis of Switzerland’s trade flows with Germany, France and the UK, the paper follows the approach of the pioneering paper of Swann et al. (Economic Journal 106 (1996) 1297), who integrated for the first time technical standards as a technology indicator in the estimation of UK trade performance. The trade flows in measurement and testing products from 1980 until 1995 are explained by both an indicator for innovative capacity and for the degree of standardisation. The first indicator is based on the patent applications at the European patent office. The latter uses the stocks of technical standards in the countries differentiated by their regional scope. Four different trade equations are analysed, besides an export and an import function, the trade balance and the intra-industry trade. The results clearly show that both Switzerland’s innovative capacity and its stocks of standards are able to explain its export performance in the three countries. Secondly, especially the stocks of international standards in Switzerland have a positive impact on imports into Switzerland from the three countries, confirming their positive role for fostering trade in general. Thirdly, Switzerland’s export surplus concerning the three trade partners is positively affected by the stocks of international standards in Switzerland, which seem to be an important factor for international competitiveness. Finally, the results of the intra-industry model underline the common view of the general trade-fostering effect of even national standards in the case of the trade with the three countries.     

Control of SO2 emissions from power plants: A case of induced technological innovation in the U.S.

This paper investigates how the details of government actions induce innovation—the overlapping activities of invention, adoption and diffusion, and learning by doing—in “environmental technology,” products and processes that either control pollutant emissions or prevent emissions altogether. It applies multiple quantitative and qualitative measures of innovation to a case subject to several “technology-push” and “demand-pull” instruments: sulfur dioxide control technology for power plants. The study employs analyses of public R&D funding, patents, expert interviews, learning curves, conference proceedings, and experience curves. Results indicate that: regulation and the anticipation of regulation stimulate invention; technology-push instruments appear to be less effective at prompting invention than demand-pull instruments; and regulatory stringency focuses inventive activity along certain technology pathways. Increased diffusion of the technology results in significant and predictable operating cost reductions in existing systems, as well as notable efficiency improvements and capital cost reductions in new systems. Government plays an important role in fostering knowledge transfer via technical conferences, as well as affecting the pattern of collaborative relationships within the technical research community via regulatory changes that affect the market for the technology. Finally, the case provides little evidence for the claim that cap-and-trade instruments induce innovation more effectively than other instruments.     

基于主成分聚类分析的长株潭上市公司综合评价研究

运用主成分聚类分析对长株潭地区的18家上市公司从财务层面进行了综合评价,进行了探讨,给出了上市公司的综合排名,重点从发展、盈利、营运和偿债能力四个方面为湖南省两型社会的建设和发展提供了重要参考。     

Endogenous timing in the switching of technology with Marshallian externalities

We analyze endogenous timing in the switching of technology. Each user chooses when to purchase a new product which embodies new technologies characterized by Marshallian externalities. The technological switch occurs when a large number of users purchase new products. Under complete information, multiple market equilibria exist, and one of the equilibria in which technological switching occurs is efficient. However, if we introduce even a small amount of uncertainty, the switch is delayed in the unique equilibrium under perfect competition, resulting in a loss of social welfare. The market power of a monopolistic supplier of new products alleviates this inefficiency.     

Structural Decomposition Analysis of Physical Flows in the Economy

Many environmental problems can be attributedto the extraction and emissions of physicalsubstances. Increasing our understanding of theeconomic and technological driving forcesbehind these physical flows can contribute tosolving the environmental problems related tothem. The input-output framework is a usefulsetting in which to integrate detailedinformation about economic structure andphysical flows. In this article a specificmethod in input-output analysis is reviewed,namely Structural Decomposition Analysis (SDA).It is based on comparative static analysis,which decomposes historical changes of a policyvariable into determinant effects. SDA has beenapplied, for example, to analyze the demand andtechnological driving forces of energy use,CO₂-emissions and various other pollutantsand resources. This article examines thetheoretical aspects of structuraldecomposition, in particular those concerningphysical flows and environmental issues.Furthermore, the article includes an extensivesurvey of empirical studies.