政府的科技激励政策对大中型工业企业R&D投入及其专利产出的影响——上海市的实证研究

本文从动态角度运用面板数据分析中的随机效应模型实证研究了上海市政府的科技激励政策对大中型工业企业自筹的R&D投入及其专利产出的影响。本文认为 ,政府的科技拨款资助和税收减免这两个政策工具对大中型工业企业增加自筹的R&D投入都具有积极效果 ,并且政府的拨款资助越稳定效果越好 ;政府拨款资助和税收减免互为补充 ,提高一个的强度也会增加另一个的效果 ,但这个效应以政府税收减免为主。不同来源的R&D支出和不同等级的人力资源对专利产出的影响是不同的 ,自筹的R&D支出对专利产出有着显著的正面作用。     

The Damoclean tax and innovation

The paper presents a novel tax that is designed to improve the performance of research and development (R&D) investments. Ideally, the tax allows the technical efficiencies of monopoly while bringing about the desirable effects of the competitive pressure of R&D rivalry. Thus, with the tax, the state can sanction a monopoly of R&D investment in order to attain technical efficiencies and yet avoid the underinvestment in R&D that would result without competitive pressures. A critique of the tax emphasizes the problems of implementing it and offers a more practical alternative that would achieve the same desirable effects.     

Innovation and the competitiveness of industries: Comparing the mainstream and the evolutionary approaches

The study of the relationships between innovation and the competitiveness of industries is an important topic for both, academic research and economic policy. The huge economics literature flourished in the last couple of decades on the subject broadly falls into two distinct research traditions, namely the mainstream R&D spillovers approach and the evolutionary economics view. Both traditions agree on the important role played by innovation and the inter-sectoral diffusion of advanced knowledge for the competitive performance of industrial sectors. Behind this general agreement, however, the two approaches are radically different. This paper shows that, at a deeper level of analysis, the mainstream and evolutionary views do indeed differ with respect to their theoretical foundations, empirical research and policy implications. In a nutshell, while the mainstream R&D spillover approach is inspired by a traditional view of economic policy based on a market-oriented approach, the evolutionary view is on the contrary consistent with the idea that institutional arrangements and policy interventions do indeed play a fundamental role for shaping innovation patterns and their impacts on the competitiveness of industries.     

Firms’ productivity growth and R&D spillovers: An analysis of alternative technological proximity measures

This paper aim at assessing the impact of R&D spillovers on firms’ economic performance as measured by productivity growth. The construction of R&D spillovers is based on Jaffe's methodology (1988, 1996) which associates econometrics and data analysis. The main objective of the paper is to extend Jaffe's methodology by examining alternative methods for measuring R&D spillovers and to test their impacts in terms of the robustness of results. In particular, the method used to classify firms into technological clusters as well as the metrics implemented to appreciate firms’ technological proximities which enter the construction of spillovers are further investigated. In addition to R&D spillovers, firms’ own R&D capital, labour and physical capital are estimated by means of a Cobb–Douglas production function. The data set consists of a representative sample of 625 worldwide R&D intensive firms over the period 1987–1994.     

A comparative analysis of the change in R&D efficiency: a case of R&D leaders in the technology industry

This paper measures the cumulative change in research and development (R&D) efficiency of globally leading R&D companies in the technology industry. We use Data Envelopment Analysis /Malmquist index to analyse 49 such companies. The change in R&D efficiency is analysed by decomposing the Malmquist index into ‘catch-up’ and ‘frontier shift’ indices, and by comparing cumulative indices to those at the starting period. Those cumulative indices are obtained at both a firm and an industry level. Results indicate that the overall R&D efficiency of these globally leading R&D companies declined slightly during the period 2007–2013. At a firm level, this study determines in detail how the trend of each firm in R&D activities differs from other companies.     

Measuring universities’ R&D performance in China’s provinces: a multistage efficiency and effectiveness perspective

ABSTRACT

Evaluating universities’ R&D performance can serve as a tool for policymakers, enabling them to identify the best R&D practitioners for benchmarking and develop strategies for enhancing performance by highlighting areas of weakness. This study divides universities’ R&D performance into two dimensions: efficiency and effectiveness. We employ a network data envelopment analysis approach to measure universities’ R&D efficiency, and separately use a multi-index comprehensive evaluation method to assess their R&D effectiveness from a multistage perspective. We calculate the comprehensive R&D performance of universities in 30 provinces in China from 2004 to 2014. An analysis of temporal variation reveals that universities’ R&D performance in some provinces improved rapidly, increasing gaps in performance as a whole. The spatial pattern for the 30 provinces shows that universities in provinces with medium or strong R&D performance are mainly in coastal provinces and central areas in China. Finally, universities’ R&D activities are considered ‘efficient and effective’ only in a small number of provinces, while in most provinces, these activities can generally be considered ‘less efficient and effective.’ Hence, universities in provinces with different R&D performance modes should implement targeted improvement strategies according to their characteristics.     

The evolution of corporate entrepreneurship in Swedish industry—was Schumpeter wrong?

This paper analyzes the evolution and role of corporate entrepreneurship in Swedish industry, particularly for the 1945–1980 period, based on data on the 100 economically most important innovations during this period. Privately owned large corporations (Schumpeter Mark II) dominated in launching innovations in almost all industrial sectors and in all subperiods but decreasingly so. 20% of the innovations were launched by new firms (Schumpeter Mark I) but most of these new firms were spun-off and/or acquired by large corporations. State entrepreneurship was marginal. Universities played an important role, although sector-specific. New firms and existing firms had similar growth rates and almost identical and short gestation times to international markets for their innovations. 80% of the corporate innovations were product renewals rather than product diversifications or process innovations. No evidence of an evolution from autonomous over corporate to state entrepreneurship, as hypothesized by Schumpeter, was found. Evolution of a dynamic coexistence of. these forms of entrepreneurship is hypothesized in this paper. The paper finally presents a model, synthesizing Schumpeter Mark I and II, for analyzing technological change and entrepreneurship.     

Battery technology for electric and hybrid vehicles: Expert views about prospects for advancement

In this paper we present the results of an expert elicitation on the prospects for advances in battery technology for electric and hybrid vehicles. We find disagreement among the experts on a wide range of topics, including the need for government funding, the probability of getting batteries with Lithium Metal anodes to work, and the probability of building safe Lithium-ion batteries. Averaging across experts we find that U.S. government expenditures of $150 M/year lead to a 66% chance of achieving a battery that costs less than $200/kWh, and a 20% chance for a cost of $90/kWh or less. Reducing the cost of batteries from a baseline of $384 to $200 could lead to a savings in the cost of reducing greenhouse gases of about $100 billion in 2050.     

Terrorism and its impact on economic growth and technological innovation

Recent terrorist acts, in particular the 9-11 attacks in 2001, have created disruptions in the global economy. The short-term impact had been felt in the global tourism, airline industries, as well as the financial markets. While the global economy has recovered and is adjusting to the new global realities, the longer-term impact of heightened security risk across the world can be felt in the form of higher risk premiums in asset markets, as well as a shift of resources towards dealing with terrorism. Just as World War II had accelerated the development of nuclear energy as well as a major contributing factor in the genesis of Silicon Valley, the current war against terrorism will affect both the pace and trajectory of technology trends, as efforts are focused on developing technologies to combat terrorism. In this paper, we review the effects of the current war on terrorism in terms of its impact on the economy, the allocation of resources to R&D, and the trajectory of future R&D.     

Explanatory factors for participation in formal standardisation processes: Empirical evidence at firm level

In contrast to the long tradition of empirical research into the innovation activities and R&D collaboration of companies, the issue of standardisation has been analysed mostly in theoretical approaches. This paper presents an empirical analysis of the participation of German companies in formal standards development organisations. It becomes clear that company size has a significant positive effect on the probability of a participation in standardisation. We focus further on two aspects, on R&D as input and export intensity as performance indicator, in order to explain the likelihood to join formal standardisation processes. Both the R&D intensity and the export activities exhibit an inverse U relationship. Obviously, even participating in standardisation processes requires a certain absorptive capacity, but R&D and export intensive companies expect more disadvantages, like unintended knowledge spill-overs, from joining formal standardisation processes and, therefore, stay away. In addition, export activities increase the likelihood to join formal standardisation processes up to a certain level, although companies with very high export shares expect less benefit from joining formal standardisation processes. Finally, some policy conclusions are derived.     

企业行为约束下技术创新所得税激励政策效应研究

技术创新所得税激励政策效应的发挥不但取决于政策本身的制度设计,还取决于企业投资行为对税收政策的敏感性。技术创新所得税激励政策作为制度驱动,既受到企业自身行为的约束,又与企业内部研发驱动机制相互作用。在企业行为理论框架下,运用随机效应模型,以2009—2013年中国Ａ股上市公司数据为样本,对企业行为约束下中国技术创新所得税激励政策效应进行了理论分析和实证检验。结果发现,税收优惠政策形成的税收补贴通过转化为企业内部资源、降低研发投资风险,使得企业内部驱动机制对研发支出的积极作用增强;所得税激励政策本身并未对企业技术创新活动产生显著的激励作用。     

A computational analysis of R&D support programs

We compare two common government R&D support programs, R&D tax credits and direct R&D grants. To study their effectiveness and the extent to which their design matters, we analyze these programs within a dynamic equilibrium model of imperfectly competitive industries. Adopting comprehensive welfare measures that take into account government, producer and consumer surpluses, we find that both schemes exhibit positive social returns. Mid-range R&D-intensive sectors exhibit higher social returns than either high or low R&D-intensive sectors. Both incentive schemes generate positive measures of R&D input additionality of magnitudes consistent with empirical R&D research. However, R&D grants that require firms to allocate subsidy funds to R&D spur less R&D than a more flexible R&D tax credit. Subsidy schemes can even induce competing firms to over-spend on R&D, generating negative producer surplus and possibly negative social returns.     

Exploring potential R&D collaboration partners through patent analysis based on bibliographic coupling and latent semantic analysis

The aim of the present research is to provide a new systematic methodology to explore potential Research and Development (R&D) collaboration partners using patent information. The potential R&D collaboration partners are visualised as a patent assignee level map based on technological similarity between patents by using the network analysis. The proposed framework utilises two analytic methods to measure technological similarity. The first method, bibliographic coupling analysis, measures technological similarity based on the citation relationship using patent bibliographic information. Second, latent semantic analysis is utilised based on semantic similarity using patent textual information. The fuel cell membrane electrode assembly technology field is selected and applied to illustrate the proposed methodology. The proposed approach allows firms, universities, research institutes and governments to identify potential R&D collaborators as a systematic decision-making support tool.     

R&D Efficiency Gains Due to Cooperation

A theoretical and widely-quoted finding is that levels of cooperative R&D exceed noncooperative R&D levels when technological spillovers are relatively large, while the opposite holds for relatively small technological spillovers. We qualify this result by showing that for relatively small technological spillovers the comparison is not driven by the extent of technological spillover, but by the increase in technological spillover due to cooperation in R&D. In particular, an agreement to cooperate in R&D always raises R&D efforts if the post-cooperative technological spillover rate is high enough.