The Funding of Important Emerging and Evolving Technologies by the Public and Private Sectors

Kenneth I. Carlaw, R. Lipsey
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Abstract

We examine the sources of the finance that has enabled technological evolution, distinguishing between sources in the private, or for-profit, sector (FPS) and sources in the public or not-for-profit sector (NPS). We investigate the roles that agents in each sector have played, both directly and indirectly, in financing the creation and evolution of twelve major technologies that were innovated between the late 19th and early 21st centuries, many of which have been labelled GPTs. To document this, we describe the development of our selected technologies in some considerable detail. Although much of this is already well known, what has not been done, to the best of our knowledge, is to emphasise for all these developments the extent to which agents in the NPS and FPS provided the supporting finance. Studies of the physical location of R&D, inventions and innovations typically give heavy weight to the FPS and much less to the NPS. However, when we study the sources of the finance that enabled these technological developments, this greatly increases the relative weight attached do the NPS compared with that of the FPS.

We distinguish four trajectories in the evolution of any new technology: the invention trajectory covers the scientific and technological developments that precede the emergence of an identifiable technology; the efficiency trajectory is the time path of the cost of producing a unit of the service provided by the technology; the applications trajectory is comprised of the technological products, processes, and forms of organization that depend on it; the diffusion trajectory is the spread of the technology to uses in other places and other times, both nationally and internationally. For each of these trajectories in each of our 12 technologies we indicate which developments were financed mainly by the NPS, mainly by the FPS, or by some combination of both.

We divide our technologies into five main groups (groups that were discerned after completing our case studies rather than being imposed a priori): Group 1, little NPS support except for the applications trajectory, the internal combustion engine; Group 2, NPS support mainly for the invention trajectory, refrigeration; Group 3, NPS support mainly for the efficiency and applications and diffusion trajectories, railways, automobiles, aircraft and agriculture; Group 4, NPS support mainly for the invention and efficiency trajectories, the iron steam ship; Group 5, NPS Support for all trajectories, electricity, computers, the Internet, and lasers.

After reporting on each of our 12 technologies, we suggest lessons that are drawn from them and are appropriate to industrial policy. For example, when there is much uncertainty about the technology early on, as it is so often and was with refrigeration, certain practical components of it need to be demonstrated by agents in the NPS before those in the FPS can foresee profitable investments in the technology. In such cases NPS support is needed early in the invention trajectory.

After completing our case studies, we draw several lessons that seem appropriate to most or all of them. Two examples follow. First, the more does a technology depend on science, the larger the place for NPS support for the relevant trajectories. Second, major technologies have significant co-evolutionary complementarities amongst themselves. As a result, NPS support in the development trajectories of any one technology has significant positive and often difficult-to-foresee, impacts, on the development trajectories of other technologies, including some that were not directly supported by NPS themselves. NPS investments can also help to create positive feedbacks through these indirect impacts by creating further complementarities that subsequently operate on the originally supported technology. Thus, calculations of the “return to NPS support” for a particular technology typically underestimate that return, unless they take account of the impact on the entire interconnected, complementary system.

The work concludes that dismissing industrial policy with statements such as ‘governments cannot pick winners’ relies on an empty slogan to avoid detailed consideration of the actual complicated, multifaceted relationships between the private and public sectors in encouraging the inventions and innovations that are the root of economic growth.
公共和私营部门对重要新兴和发展中的技术的资助
我们研究了推动技术发展的资金来源,区分了私营或营利性部门(FPS)和公共或非营利部门(NPS)的资金来源。我们调查了在19世纪末至21世纪初的12项主要技术的创新中,每个部门的代理人直接或间接地在融资创造和发展中所扮演的角色,其中许多已被标记为gpt。为了证明这一点,我们非常详细地描述了我们所选择的技术的发展。尽管这其中的大部分已经众所周知,但据我们所知,没有做的是强调所有这些发展的程度,即NPS和FPS的代理人提供了支持性资金。对研发、发明和创新的物理位置的研究通常给予FPS很大的权重,而对NPS的权重要小得多。然而,当我们研究支持这些技术发展的资金来源时,这大大增加了NPS与FPS的相对权重。我们在任何新技术的发展中区分出四条轨迹:发明轨迹涵盖了在可识别技术出现之前的科学和技术发展;效率轨迹是该技术提供的单位服务的生产成本的时间路径;应用轨迹由技术产品、过程和依赖于它的组织形式组成;扩散轨迹是技术传播到其他地方和其他时间的使用,包括国内和国际。对于我们的12项技术中的每一项,我们都指出了哪些开发主要由NPS资助,哪些主要由FPS资助,或者由两者结合资助。我们将我们的技术分为五个主要组(这些组是在完成我们的案例研究后识别出来的,而不是先验地强加的):第一组,除了应用轨迹外,几乎没有NPS支持,内燃机;第二组,NPS支持主要为发明轨迹、制冷;第三组,NPS主要支持效率、应用和扩散轨迹、铁路、汽车、飞机和农业;第4组,NPS主要支持发明和效率轨迹,铁蒸汽船;第5组,NPS支持所有轨迹、电力、计算机、互联网和激光。在报告了我们的12项技术中的每一项之后,我们提出了从中吸取的适合产业政策的经验教训。例如,当一项技术在早期存在很多不确定性时,就像制冷技术一样,在FPS中的代理可以预见该技术的盈利投资之前,NPS中的代理需要演示它的某些实际组件。在这种情况下,在发明过程的早期就需要NPS的支持。在完成案例研究之后,我们得出了一些似乎适合大多数或所有案例的经验教训。下面是两个例子。首先,一项技术对科学的依赖程度越高,NPS对相关轨迹的支持就越大。其次,主要技术之间具有显著的协同进化互补性。因此,NPS对任何一项技术发展轨迹的支持都会对其他技术的发展轨迹产生重大的、积极的、往往难以预见的影响,包括一些没有得到NPS本身直接支持的技术。NPS投资还可以通过这些间接影响创造进一步的互补性,从而在最初支持的技术上运行,从而帮助创造积极的反馈。因此,除非考虑到对整个相互关联的互补系统的影响,否则对特定技术的“NPS支持回报”的计算通常低估了回报。该研究的结论是,用诸如“政府不能挑选赢家”之类的言论来否定产业政策,这是一个空洞的口号,避免了对私营部门和公共部门之间在鼓励发明和创新方面实际复杂、多方面的关系的详细考虑,而发明和创新是经济增长的根源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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