总需求、国际贸易与我国省际生产率变化——基于省际面板数据的研究

全要素生产率的提高是促进经济持续增长的重要原因,对生产率的研究,主要是从供给方面展开的,本文试图从需求角度研究全要素生产率变动的原因。理论上看,总需求通过影响技术创新、技术选择、规模经济效益和要素的使用效率等途径引起生产率的变化,国际贸易则通过促进分工深化、产生技术溢出等促进生产率的提高。然后,本文采用数据包络分析方法测算了中国省际全要素生产率变化,并将其分解为技术效率的变化和技术进步。结果发现中国改革开放以来全要素生产率增长主要是技术进步的结果,技术效率的作用很小。在测算和分解的基础上,利用省际面板数据,就总需求和国际贸易对生产率增长的影响作了实证分析,发现最终消费和资本形成对技术进步和全要素生产率的提高作用显著,出口对生产率增长的作用不显著,进口显著地促进了省际全要素生产率增长和技术进步。     

A review of experience curve analyses for energy demand technologies

Transitioning towards a sustainable energy system requires the large-scale introduction of novel energy demand and supply technologies. Such novel technologies are often expensive at the point of their market introduction but eventually become cheaper due to technological learning. In order to quantify potentials for price and cost decline, the experience curve approach has been extensively applied to renewable and non-renewable energy supply technologies. However, its application to energy demand technologies is far less frequent. Here, we provide the first comprehensive review of experience curve analyses for energy demand technologies. We find a widespread trend towards declining prices and costs at an average learning rate of 18 ± 9%. This finding is consistent with the results for energy supply technologies and for manufacturing in general. Learning rates for individual energy demand technologies are symmetrically distributed around the arithmetic mean of the data sample. Absolute variation of learning rates within individual technology clusters of 7 ± 4%-points and between technology clusters of 7 ± 5%-points both contribute to the overall variability of learning rates. Our results show that technological learning is as important for energy demand technologies as it is for energy supply technologies. Applying the experience curve approach to forecast technology costs involves, however, unresolved uncertainties, as we demonstrate in a case study for the micro-cogeneration technology.     

虚拟仪器技术对知识创造的影响研究

仪器作为现代科学研究的核心组成部分,在很大程度上决定了科学知识的产出。虚拟仪器技术对知识创造产生了深远影响。“软件就是仪器”的理念使得传统仪器、测量观念以及仪器作为科技黑箱的内涵和功能发生了质的变化。虚拟仪器在集成大量编码知识的同时更多地集成了主体的隐性知识,虚拟仪器技术通过对主体知识体系的重塑影响了知识创造。主体只有通过长时间、复杂的学习和使用过程才能充分发挥虚拟仪器技术在知识创造中的优势,实现编码知识和隐性知识的共同增长。     

Learning by doing,spillovers and shakeouts

This paper studies industry evolution driven by non strategic learning by doing and spillovers. We characterize a dynamic process of cost and output changes and its effect on welfare and industry profits. The paper gives conditions for shakeouts to occur and analyzes the key factors affecting these conditions. Since shakeouts could lead to a long-run social loss due to higher market concentration, there is a role for a government to play in limiting unnecessary shakeouts. The most effective way to do so is to enhance spillovers.JEL Classification: L11, L13, O31Correspondence to: Michael TroegeWe would like to thank Hans Mewis, Christophe Moussu and an anonymous referee for valuable comments and suggestions. We also benefited from comments of seminar participants at WZB, Humboldt University, Northwestern University and the EEA/ESEM 1999 meetings. Part of the research was carried out while Michael Tröge was visiting Northwestern University. Financial support by the German Research Council (DFG) is gratefully acknowledged.     

高新技术企业技术成果转化与多层次资本市场研究

高新技术企业融资困难的根源在于缺乏一个多层次的资本市场.多层次的资本市场是解决高新技术企业融资难问题的最佳手段,且能够最大限度地满足高新技术企业的资金需求,更好地促进高新技术成果转化.本文分析了高新技术企业技术成果转化在客观上需要一个多层次资本市场的支持,讨论美国和英国的多层次资本市场体系,提出了构建和完善中国多层次资本市场的对策建议.     

Economic progress and skill obsolescence with network effects

Summary. We construct an OLG model with network effects to examine skill obsolescence when individuals can choose technological vintages. In the absence of transfer payments, some regions of the parameter space have unique stationary equilibria, others have unique cyclical equilibria, and others have multiple stationary equilibria. All equilibria are Pareto efficient. However, rat race equilibria can exist in which all agents currently alive prefer a slower rate of progress than occurs in equilibrium. When contemporaneous transfers are allowed, equilibria are unique everywhere, but a cycle still exists, and a rat race can still arise in equilibrium. Allowing intertemporal transfers (debt) ensures that all equilibria are stationary. In the relevant parameter range, the introduction of debt can eliminate cycles and increase the long-run growth rate. No rat race equilibria exist when debt is allowed.Received: 3 January 2002, Revised: 3 June 2004, JEL Classification Numbers: 041, J24, O33. Correspondence to: Ian P. KingEarly versions of this paper were presented at the West Coast Macro Workshop, the Mid-West Macro Meetings, the Canadian Macroeconomics Study Group Meetings, and the Society for Economic Dynamics Meetings. We would like to thank V. V. Chari, Merwan Engineer, Don Ferguson, John Hillas, John Knowles, Dan Peled, Dan Usher, Linda Welling and Julian Wright for helpful comments. We are especially grateful to an anonymous referee for some very useful and substantive comments.     

Refining the debate on GM crops using technological foresight—the Danish experience

Rapid developments in and the controversial nature of biotechnology call for communication, networks, partnerships, and collaboration in research, not just among researchers, but also between researchers and research “users” in industry, government, and elsewhere. Technological foresight appears to offer a coordinating method for developing and strengthening those linkages. To test this, a technological foresight study was performed on genetically modified (GM) crop technology in the Danish context. The background of the study was the conflict and intense debate in Denmark over applications of gene technology, especially over the deliberate release of genetically modified (GM) crops. However, the current debate characteristically involves sharply opposed fronts, lacking willingness and courage to engage in a free-flowing and open-minded debate on both rational and normative components of biosafety. In it, stakeholders and experts on both side of the conflict advocate widely differing opinions. Without a proper generally intelligible dialogue, the broader public audience finds it hard to comprehend this type of debate. The study pursues the notion that public dialogue can act as a driver of future applications in the technological domain, specifically GM crops. The study concluded with a stakeholder workshop that revealed three key issues that might provide helpful starting points for a more free-flowing and open-minded debate about the future of GM crops. The issues were those arising from the following statements: a broad perspective on risk is crucial; international regulation must make allowance for developing countries; a better configuration of the risk debate is needed. These issues are discussed in more details in the article.     

Dynamic technological learning trends in Turkish manufacturing industries

Efficient development of industries requires a broad range of technological capabilities which can be acquired only by a long process of learning. Continuous measuring and monitoring of the ever-changing technological learning would be useful for building technological capability and managing technological policies. Nevertheless, research on how to measure the technological learning over time at macro levels remains largely untouched. In this paper, by adding the experience curve into the multifactor productivity part of Neoclassical production function, we will develop a model which will allow one to estimate the technological learning levels over long periods. This model would allow a user to both estimate the past learning experiences and forecast its future path on a time varying basis. The model has been used and tested in the estimation of the annual technological learning values for 28 Turkish manufacturing industries from 1981 to 2000.     

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.     

The Delphi method, impeachment and terrorism: Accuracies of short-range forecasts for volatile world events

Two experiments examined the effects of iterated polling and feedback on prediction accuracy for volatile world events using the Delphi paradigm. In both experiments, participants predicted rapidly changing geopolitical events. The first experiment occurred during the litigation surrounding the Clinton/Lewinsky affair in 1998. Results indicated that feedback improved individual and group accuracy for predictions of whether an event would occur. These types of predictions derived from group consensus were approximately 90% accurate, which was significantly higher than the average individual participant's accuracy. Neither polling nor feedback had much effect on time course predictions. The second experiment occurred during the American military action against the Taliban regime in Afghanistan in 2001. In Experiment 2, participants were polled three times to determine if increasing the number of iterated polls would improve Delphi accuracy. The results showed that accuracy improved from the first to the second poll but not from the second to the third. The groups predicted whether these scenarios would occur with approximately 75% accuracy, which was significantly higher than the accuracy of any individual participant. Once again, the Delphi procedure did not enhance time course predictions in Experiment 2.