Generic innovation dynamics across the industrial technology life cycle: Platform equation modeling of invention and innovation activity

We describe here a generic approach to innovation dynamics based on an integrated framework for inventions and innovations applied via a platform equation and model across the industrial technology life cycle. We test the model for metals and other materials, and demonstrate that this model correctly describes the production activity for several materials and energy conversion technologies.Innovation activity patterns are shown for several oxides, metals, oil and wind energy and its derivatives. The metals Cu, Al, W, Mo and Pb are particularly studied for the amount produced over time. The total activity for the metals encompasses both the invention and innovation stage for a particular metal. Four major stages and two sub stages are identified for the discovery (invention) and subsequent growth regimes (i.e. the innovation stage). The pattern equation appears to clearly capture all these stages for the metals studied — work is ongoing for similar analyses of energy and other materials. Although the metals studied existed over differing periods (e.g. copper greater than 200 years whereas aluminum, just over 100 years), one single pattern equation appears to capture all the major trends. The use of the model is also shown for productivity analysis, especially for the condition of radical innovation (very rapid growth). For sustained radical innovation, namely, when the output of the produced material per unit time, keeps on increasing with time, there are various factors which may influence growth. For the conditions where thermal activation and plant size are the dominant variables, their impact on the growth may be examined in the context of the pattern equation. A preliminary analysis of oxide production activity also appears to follow this same innovation model.The results suggest a fertile field of future research extending the initial platform equation model to include R&D, Patents, and Performance, as well as Sales, as innovation activity. Further, the model shows promise in combination with the ARI methodology model for analysis and assessment of existing and future industrial technology life cycles involving material, process, product, software and service innovations.     

Do German renewable energy resources affect prices and mitigate market power in the French electricity market ?

Several empirical studies show that renewable energy sources such as wind and solar power, typically supplied at low marginal cost, can cause electricity market prices to fall. Recent theoretical research and simulations also highlight the link between the integration of renewable energy and market performance in an oligopolistic energy market. This article looks at these dynamics in the context of cross-border effects between two highly interconnected electricity markets, France and Germany. Using a rich panel dataset for hourly data from November 2009 to July 2015, I estimate the impact of German wind and solar power production on both prices and market power in the French wholesale market. The findings highlight the importance of coordinating energy policies via joint renewable energy support schemes among interconnected European electricity markets.     

R&D dynamics in the product life cycle

This paper presents a model of a firm's R&D behavior over an entire product life cycle. Beginning with the search stage, modelled as a patent race, firms raise their R&D expenditures until one firm succeeds with a technological breakthrough in creating a new product, market. The following R&D behavior of the successful entrepreneur, devoted to incremental product and process innovations, varies in a characteristic way over the new product's life cycle. Under reasonable conditions, R&D activities rise in the early stages but decline when the market matures. Overall, supply and demand factors combine to determine the R&D time-path.Paper presented at the Sixth Annual Congress of the European Economic Association, Cambridge, U.K., August 31-September 2, 1991. I would like to thank three anonymous referees for helpful comments and suggestions. Financial support of the DFG in Bonn is gratefully acknowledged.     

Energy,knowledge and economic growth

It is argued that the explosive growth experienced in much of the World since the middle of the 19th Century is due to the exploitation and use of fossil fuels which, in turn, was made possible by capital good innovations that enabled this source of energy to be used effectively. Economic growth is viewed as the outcome autocatalytic co-evolution of energy use and the application of new knowledge associated with energy use. It is argued that models of economic growth should be built from innovation diffusion processes, unfolding in history, rather than from a timeless aggregate production function. A simple ‘evolutionary macroeconomic’ model of economic growth is developed and tested using almost two centuries of British data. The empirical findings strongly support the hypothesis that growth has been due to the presence of a ‘super-radical innovation diffusion process’ following the industrial deployment of fossil fuels on a large scale in the 19th Century. Also, the evidence suggests that large and sustained movements in energy prices have had a very significant long term role to play.     

Lead markets and regulation: a framework for analyzing the international diffusion of environmental innovations

Environmental regulations are often intended to stimulate the generation and adoption of eco-efficient innovations. An important argument in the public debate is also the creation of new markets for environmentally benign products, processes and services in other countries and the generation, as a result, of export opportunities for the pioneering country (lead markets). Research on lead markets has not, however, focused on environmental innovations to date. We therefore extend the lead market model to environmental innovations and take particular account of the peculiarities of such innovations, in particular, the public good character of environmental benefits and the role of regulations. This approach is applied to two case studies: wind energy and fuel-efficient passenger cars. In both cases, the innovation was initially adopted in one country. Other countries subsequently adopted the same innovation design favored by the lead market which, in turn, developed into a large exporter in the wind generation and car industries, respectively. We discuss the regulations employed and the reasons for the international success of the innovations induced by them. Our findings demonstrate that when supported by global demand or regulatory trends, strict regulation results in the creation of lead markets. Finally, we provide recommendations on how our model could be used for further research and in the development of a coordinated environmental and innovation policy.     

Patent and publishing activity sequence over a technology's life cycle

The use of multiple indicators in analyzing technological developments and exploiting the increasing availability of information has been recommended widely in order to decrease systematic biases between single measures. One of the few frameworks that take multiple sources into account is the Technology Life Cycle indicators that provide a measure for the totality of sources available for analysis and take their timeliness into account, although the linear model that the framework represents is often questioned. The aim of this paper is to provide bibliometric studies with insight into the timely relevance of using different databases. To assess the reporting sequence between different databases, this paper measures the reporting activity of three case technologies in different databases and analyzes the yearly reporting volumes of a number of items that mention the technology in the databases as suggested by the TLC indicators. The results of this paper suggest that, when science is the source of new ideas and the driver for technological development and innovations, communication can happen in the order suggested by the TLC indicators. However, this model does not seem to be a general model for detecting and forecasting a technological life cycle. In addition, the results of the paper point to the possibility of studying non-linear models of innovation and contexts where this type of dynamics might take place.     

Development of smart microgrid powered by renewable energy in China: current status and challenges

During the ‘13^th Five-Year Plan period’ (2016–2020), one of the main targets for China's energy strategy is to develop a new generation of power system, integrating high shares of renewable energy sources. This implies that the technology industrialisation of microgrid powered by distributed generation of renewable energy is becoming crucial. This paper carries out a comprehensive study of the status and challenges of developing microgrid, based on case studies of demonstration projects of microgrid in China during different developmental stages. The focus is on the effects of government policies, technical innovations and changes in the business model of electricity market on the promotion of microgrid in China and the reformation of electricity market in China. The ultimate target for the reformation of power system in China is to finish the transformation from a linear business model of centralised power system.     

Saving up or settling down: Home ownership over the life cycle

In a Bewley model with endogenous price volatility, home ownership and mobility across locations and jobs, we assess the contribution of financial constraints, housing illiquidities and house price risk to home ownership over the life cycle. The model can explain the rise in home ownership and fall in mobility over the life cycle. While some households rent due to borrowing constraints in the mortgage market, factors that affect propensities to save and move, such as risky house values and transactions costs, are equally important determinants of the ownership rate.     

SOLAR POWER

This paper describes categories of solar technologies and identijies those that are economic. It compares the private costs of power from solar, wind, nuclear, coal, oil, and gas generators. In the southern United States, the private costs of building and generating electricity from new solar and wind power plants are less than the private cost of electricity from a new nuclear power plant. Solar power is more valuable than nuclear power since all solar power is available during peak and mid-peak periods. Half of the power from nuclear generators is off-peak power and therefore is less valuable. Reliability is important in determining the value of wind and nuclear power. Damage from air pollution, when factored into the cost of power from fossil fuels, alters the cost comparison in favor of solar and wind power. Some policies are more effective at encouraging alternative energy technologies that pollute less and improve national security.     

何种区域创新环境组合能有效提升风电产业创新质量——基于fsQCA的组态分析

区域创新环境对高质量创新的影响已成为当前学术界重点关注的问题之一。以中国内地部分省市数据为研究样本，使用模糊集定性比较分析法研究不同区域创新环境影响风电产业创新质量的必要条件和路径组合。结果表明，区域创新环境中单一条件对风电产业创新质量影响较弱，而不同条件变量组合对风电产业创新质量提升具有较强的解释力。实证分析表明，存在两种影响风电产业创新质量的不同路径，且两种路径的核心条件均为市场发育程度、研发环境和政府支持，经济基础环境相较于产业结构具有更强的辅助作用。最后，结合实证结果，提出促进我国风电产业创新质量提升的建议。     

高技术企业能力重构的动力源——拓展与利用

对突破性性创新机会的感知是企业在新旧产业替代中进行企业能力重构的动力源。高层管理者是高技术企业进行能力重构的主要驱动力量,但是高层管理者由于人力资本的陈旧过时、社会资本的局限性以及认知的偏见常常无法识别突破性创新的机会。已有的创新实践表明,对突破性创新机会的识别可能来自企业内部和外部的各个角落的人员,他们由于离市场更近,更容易发现新技术机会。如果高技术企业单纯的依赖高层管理者的认知来识别突破性创新,将会失去新旧产业替代中进行能力重构的重要机会。本文拓展了企业进行能力重构的动力源,提出用创造性搜索活动、上下级直接沟通、战略释意活动、战略性实验方法充分的利用各种动力源促进企业的能力重构。     

Market Power and Welfare in Electricity Markets Employing Tradable Green Certificate Systems

Within the last 25 years, liberalization (deregulation) of electricity markets around the world has been undertaken with the goal of replacing long-standing monopoly rights with fully competitive markets. In addition, many nations have begun employing “tradable green certificate” systems to promote electricity generation from renewable (“green”) energy sources (wind, solar, biomass, hydroelectric, etc.), with the primary objective of mitigation of greenhouse gas emissions from fossil fuel (“black”) producers. In this paper, we examine some welfare implications of the use of green certificate systems in electricity markets under alternative market structures. We demonstrate that under a wide variety of scenarios, an oligopolistic market structure may perform better in terms of welfare than a competitive market structure. We also demonstrate that there will typically be an optimal level of market power summarized by a conjectural variations parameter that depends on the cost structure of both green and black firms. Our model provides insights into the policy challenge of electricity market design and suggests an approach that could be applied in a more general model.     

出力不确定下基于保险机制的风电供应链 最优交易决策

随着新一轮电力体制改革的日益推进,参与电力市场竞争是消纳风电等可再生能源的必经之路。由于风电出力受风速等自然条件影响,出力具有较强不确定性,导致其实际出力难以预测,使得风电商参与电力市场面临巨大的收益风险。合理地转移风电商的市场风险,引入有效的风险规避机制,对提高风电商收益稳定性具有重要意义。因此本文基于电量损失保险机制,建立了风电商、售电公司以及保险公司的Stackelberg博弈模型,通过逆向递归法求解纳什均衡,分析保险费率与市场三方利润之间的关系,得出市场主体风电商、售电公司以及保险公司的最优交易决策。最后通过具体算例分析验证得出,引入电量保险机制,制定适当的保险费率,能够使风电商、售电公司以及保险公司三方利益实现共赢。     

Technological innovation and diffusion of wind power in Japan

The purpose of this paper is to analyze the diffusion of wind power in Japan by focusing on the value chain and the interaction between technology and markets and to contribute towards recommendations on technology policy and management. This paper proposes a framework for analyzing the early stage diffusion of wind power systems by combining the use of several approaches considering wind power system as a complex technological system. Firstly, the business system approach is used as an analytical framework by focusing on efficiency, effectiveness and development criteria. As a second approach, the technological trajectory was analyzed based on the concept of technological disequilibrium and the evolutionary patterns of innovation of wind power generation systems were analyzed and the relationship between innovations at the sub-system, modular, and system level was identified. We apply the framework to investigate why wind power diffusion has not picked up momentum in Japan.The results include the following: (1) Technological imbalances within the product system were solved by technological innovation (2) The wind power business in Japan is insufficiently effective due to organizational disequilibrium (3) The technology system has begun to evolve in the direction of micro grid systems. (4) It is important to consider the demand-pull measures for wind power generation so that Japanese institution can have a “time slot” for ”learning by doing” to catch up and accelerate diffusion of wind power generation, including institutional reform of RPS law. Also further technological development related to stabilizing unstable wind energy is required.     

Entry costs and stock market participation over the life cycle

Several explanations for the observed limited stock market participation have been offered in the literature. One of the most promising is the presence of market frictions mostly in the form of fixed entry and/or transaction costs. Empirical studies point to a significant structural (state) dependence in the stock market entry decision, which is consistent with costs of this type. However, the magnitude of these costs is not yet known. This paper focuses on fixed stock market entry costs. I set up a structural estimation procedure which involves solving and simulating a life cycle intertemporal portfolio choice model augmented with a fixed stock market entry cost. Important features of household portfolio data (from the PSID) are matched to their simulated counterparts. Utilizing a Simulated Minimum Distance estimator, I estimate the coefficient of relative risk aversion, the discount factor and the stock market entry cost. Given the equity premium and the calibrated income process, I estimate a one-time entry cost of approximately two percent of the permanent component of the annual labor income. My estimated model matches the zero median holding as well as the hump-shaped age–participation profile observed in the data.     

对四川省纺织服装产业发展的建议

进入21世纪以来,全球纺织业步入了新一轮调整升级周期。中国纺织服装产业转型升级与创新驱动的基本路径是由劳动成本优势向劳动效率优势转型,进而再向科技加时尚转型。以四川省纺织服装产业发展为例分析,可以看到未来面临四大机遇与两大挑战,综合分析形成基本判断:中国东部纺织服装产业为分享西部未来的市场,肯定要向四川省转移部分力量;而四川省承接产业转移,发挥低碳资源优势、特色资源优势,可以良性发展纺织服装产业。     

THE WESTERN AUSTRALIAN POWER DILEMMA*

From 1984 gas‐fired power generation had been gradually increasing its share of the electricity market in Western Australia (WA) starting at 1 per cent and rising to about 50 per cent by 2008. Had it continued on this trajectory, the WA power system would have made great advances in terms of cost and environmental efficiencies given the looming commencement of the Carbon Pollution Reduction Scheme in Australia from 2011. However, more recently the cost of natural gas has increased from $3/GJ to $7/GJ following the sudden collapse of the East Spar gas field in the North West Shelf. In this article, we analyse the impact of the gas price increase and demonstrate that despite being the most environmentally efficient conventional technology, natural gas combined cycle plant has been squeezed out of the market which in turn will increase forward electricity price risks to WA consumers through greater exposure to CO₂ pricing in the long run.     

Wind Power in Europe: A Simultaneous Innovation–Diffusion Model

The purpose of this paper is to provide a quantitative analysis of innovation and diffusion in the European wind power sector. We derive a simultaneous model of wind power innovation and diffusion, which combines a rational choice model of technological diffusion and a learning curve model of dynamic cost reductions. These models are estimated using pooled annual time series data for four European countries (Denmark, Germany, Spain and the United Kingdom) over the time period 1986–2000. The empirical results indicate that reductions in investment costs have been important determinants of increased diffusion of wind power, and these cost reductions can in turn be explained by learning activities and public R&D support. Feed-in tariffs also play an important role in the innovation and diffusion processes. The higher is the feed-in price the higher is, ceteris paribus, the rate of diffusion, and we present some preliminary empirical support for the notion that the impact on diffusion of a marginal increase in the feed-in tariff will differ depending on the support system used. High feed-in tariffs, though, also have a negative effect on cost reductions as they induce wind generators to choose high-cost sites and provide fewer incentives for cost cuts. This illustrates the importance of designing an efficient wind energy support system, which not only promotes diffusion but also provides continuous incentives for cost-reducing innovations.      

Cogeneration and electric power industry restructuring

In 1978, Congress passed the Public Utilities Regulatory Policies Act (PURPA) in response to the energy crisis of the early 1970s. One of the unintended results of PURPA has been to show that electric generation was not a natural monopoly and could be opened to competition. Both the theoretical and empirical determinants of cogeneration and how they may be affected by future electric power industry restructuring are important for future industrial generation decisions. This paper explores these determinants and identifies differences between industrial cogenerators which sell power back into the electricity grid (commercial generators) and those which keep all of their electricity generation for internal purposes (self generators). The empirical results indicate that increases in industrial firm technical capabilities tends to increase their probabilities of both commercial and self generating. In addition, the models indicate that increases in retail electricity prices and industrial output increases industrial generation probabilities. The ability to switch fuels enhances industrial generation probabilities, as does a decrease in the price of natural gas. The results also imply that under electric restructuring a number of industrial generators may find that they face a stranded cost problem much like the one faced by their electric utility counterparts.     

The effects of wind generation capacity on electricity prices and generation costs: a Monte Carlo analysis

We use Monte Carlo analysis to examine the potential of increased renewable generation to provide a hedge against variability in energy prices and costs. Fuel costs, electricity demand and wind generation are allowed to vary and a unit commitment and economic dispatch algorithm is employed to produce cost-minimizing generation schedules under different levels of installed wind capacity. Increased wind capacity reduces the mean and the variance of production costs but only the variance of electricity prices. Wind generators see their market revenues increase while consumer payments and fossil generator profits do not considerably vary as wind capacity increases. Risk aversion is captured by considering the conditional value-at-risk for both consumers and producers. The optimal level of wind generation increases as risk aversion increases due to the potential of wind to act as a hedge against very high electricity prices in high fuel price scenarios.