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This paper studies strategic R&D policy with endogenous timing of firms’ moves within a two‐period framework. Within this framework the government can make a policy commitment only in the second period due to an information lag vis‐à‐vis the firms. The firms can, if they choose, make their moves in the first period, but they will incur extra costs. An activist government policy may decrease national welfare by forcing the foreign firm to take preemptive action against the home government.

The purpose of this study is to examine the impact of government support policies and research and development (R&D) activities on product innovation under market uncertainty.

This study applies logistic regression analysis to a sample of 4,000 South Korean manufacturing firms in order to investigate the impact of government policies and R&D activities of the firm on firm innovation performance, with particular interest in the moderating role of the firm's perceived market uncertainty (PMU).

Policies supporting industry/university/institute/local collaboration are found to have greater benefit under high PMU. Surprisingly, support for a consortium among different-sized firms has a negative effect on product innovation, although this negative effect disappears under high PMU. Both support for the protection of intellectual property (IP) and support for the resolution of manpower shortages have strong positive effects on the propensity to innovate products, but in both cases the moderating effects of uncertainty are negative. Finally, all types of R&D activities have positive effects on the propensity to innovate, more so for new product innovation than for improved product innovation.

To the best of the authors' knowledge, this is the first study to examine analytically the moderating effect of PMU in the effectiveness of government policies promoting innovation in the manufacturing sector. The study is potentially useful both for policymakers in deciding which policies to implement under prevailing market conditions; and for entrepreneurs choosing between different forms of government support, particularly given the abnormal levels of market uncertainty prevailing in the Covid-19 era.

The purpose of this paper is to evaluate the international position of Estonia among the member states of the EU and countries closely associated with the EU, from the perspective of the effect of research and development (R & D) policy on innovation activities in the business sector.

Based on existing scientific research literature on the relationships between R & D policy and business sector R & D activities and innovation performance, a set of indicators describing R & D policy measures was created for the business sector. Using principal component analysis (PCA) method, independent robust dimensions of R & D policy were brought out. After eliminating the problem of multicollinearity in R & D policy indicators, robust multiple regression models were conducted to present a comprehensive empirical description of the shaping of business sector R & D and innovation activities in the sample of investigated countries.

Based on the literature, the influences of R & D policy measures on business sector R & D activities and innovation performance were systemised; public R & D policy dimensions were empirically defined; the intensity of R & D policy influence on business sector R & D activities was estimated; the differences between real and prognostic values of business sector performance indicators in Estonia were calculated in order to characterise the efficiency of Estonian R & D policy and the influence of the socioeconomic environment.

The lack of comparable data describing R & D policy and R & D activities and innovation performance in the business sector limits the comprehensiveness of the analysis (i.e. the number of analysed indicators).

The assessment and comparative analysis of the influence of R & D policy components on business sector R & D activities and innovation performance in different countries makes it possible to identify directions for increasing the efficiency of R & D policy under the specific influence of the socioeconomic environment, especially in new member states of the EU.

Using the PCA method significantly increased the robustness of the macro-quantitative description of R & D policy dimensions. By combining the set of new synthetic R & D policy indicators created by the PCA with the multiple regression analysis method, a significant increase in the robustness of model coefficients (i.e. the assessments of influence intensity) was achieved. These robust models create the basis for reliable empirical assessment of the influence of R & D policy and a comparative analysis of the results.

This study investigated the effectiveness and applicability of China’s innovation-driven policies on encouraging sports firms to invest in research and development (R&D) activities.

Through a series of multiple linear regression models, this study examined the direct and interaction effects of innovation-driven polices and firm characteristics on R&D investment for sport firms listed on the New Third Board in China.

Results showed that financing constraints and certification as a high-tech enterprise were not themselves significant predictors of R&D investment; instead, the number of R&D staff and a firm's total assets were identified as key internal factors predicting the level of a firm's R&D investment. Other effective policy tools for stimulating Chinese sport firms' R&D investments included pre-tax deductions of R&D expenses, government R&D subsidies and income tax relief for high-tech enterprises, although their effects were heterogeneous.

This study observes a new theoretical discovery that when the financing constraints do not limit R&D investment, innovation-driven strategies remain effective tools to stimulate the R&D investment of sports firms.

The findings provided practical guidance for both government–industry policymakers and sport business managers to prioritize the identified areas of significance when promoting R&D.

First, this study focused on sport firms, which constitute a quickly growing industrial sector in China. The findings offered important insights for the government as well as corporate management with regard to promoting new industries and new enterprises. Second, this paper analyzed the effects of three special innovation-driven policies on R&D investment and explored enterprise innovation development in more detail. Third, this paper discussed not only the effects of innovation-driven policies on R&D investment but also the heterogeneity of their effects. The related conclusions could help improve the development, implementation and assessment of innovation-driven policies.

The Bureau of Economics in the Federal Trade Commission has a three-part role in the Agency and the strength of its functions changed over time depending on the preferences and ideology of the FTC’s leaders, developments in the field of economics, and the tenor of the times. The over-riding current role is to provide well considered, unbiased economic advice regarding antitrust and consumer protection law enforcement cases to the legal staff and the Commission. The second role, which long ago was primary, is to provide reports on investigations of various industries to the public and public officials. This role was more recently called research or “policy R&D”. A third role is to advocate for competition and markets both domestically and internationally. As a practical matter, the provision of economic advice to the FTC and to the legal staff has required that the economists wear “two hats,” helping the legal staff investigate cases and provide evidence to support law enforcement cases while also providing advice to the legal bureaus and to the Commission on which cases to pursue (thus providing “a second set of eyes” to evaluate cases). There is sometimes a tension in those functions because building a case is not the same as evaluating a case. Economists and the Bureau of Economics have provided such services to the FTC for over 100 years proving that a sub-organization can survive while playing roles that sometimes conflict. Such a life is not, however, always easy or fun.

The purpose of this paper is to explain how eventual pressures from national lobbies may lead governments to shift from an optimal into a non‐optimal innovation policy.

A theoretical model is developed in order to examine and explain the growth and welfare effects of optimal and non‐optimal innovation policies. The non‐optimal policy corresponds to a subsidy for national innovators that is equivalent to an optimal policy of incentives (tax cuts) to foreign investors. Since we are assessing what can nationals do with the support that could be oriented to foreign firms, we are measuring what the economy loses for not supporting foreign firms.

The authors find welfare loss when supporting national R&D instead of foreign R&D and conclude that the same support given to innovation can produce strikingly different outcomes depending on who receives the support.

The analysis allows the impact of the inefficiency caused by policies that are not sound, from a strictly economic point of view, to be measured.

The originality of the paper is related to the assessment of the implications and to the measurement of the effects of non‐optimal R&D policies.

This paper aims to discuss and present the regional-innovation cluster policy for R&D efficiency and the creative economy. In particular, the R&D efficiency and creative economy of Daedeok Innopolis are discussed for the science and technology policy of the R&D regional-innovation cluster. In this research, the region cluster policy change, the creative innovation system construction, the manpower system construction and the support unification for R&D and commercialization are presented as policy proposals for R&D efficiency and the creative economy.

In this research, the universities, research institutes and enterprises of Daedeok Innopolis were studied. Thirty people from the universities in the area, 30 from the research institutes and 30 from the enterprises were surveyed through the quota sampling of the non-probability sampling method for this research. These survey respondents were science and technology policy specialists for the R&D, industrialization and entrepreneurial activities of Daedeok Innopolis. The methodological material is a questionnaire. The study’s investigation factors were the government’s role, knowledge creation and the network. Also, F-test, ANOVA and chi-square independence test were utilized for the survey data analysis.

Regional-innovation cluster construction is a representative method of realizing regional development and competition enhancement. This research was found through the analysis that the government policy is very useful for innovation ecosystem development. The knowledge capability has been enhanced in connection with knowledge creation. Also, the network has been vitalized. New-dimension industry–university–institute collaboration and a human resource management system are needed for R&D efficiency and the creative economy. Daedeok Innopolis needs consistent support for industrialization and foundation.

Movement of and cooperation among humans, goods, knowledge, technologies, etc., occur in many areas (science, the economy, culture, arts, etc.) because of the compression of time and space through informatization and globalization. This has brought about changes in cross-border, regional and national relations and has stimulated competition in the aforementioned areas. To date, a state-dominated system has been operated to deal with these changes, but it has been shown to be inefficient because it cannot reflect the conditions in the region and does not allow quick reaction. The advantages of the region must be identified and utilized to boost the survival and development of the region. Regional-innovation cluster construction is a representative method of realizing regional development and competition enhancement.

The innovative feature of the study is proposed the science and technology policy (the region cluster policy change, the creative innovation system construction, the manpower system construction and the support unification for R&D and commercialization) for the R&D regional-innovation cluster through the survey data analysis. In this paper, the R&D efficiency and the creative economy of Daedeok Innopolis are discussed for the science and technology policy of the R&D regional-innovation cluster. The science and technology policy for the R&D regional-innovation cluster development is examined for the first time in this paper. This research is expected to make a significant contribution to the establishment of a development strategy for the regional-innovation cluster, and to the decision-making regarding the science and technology policy.

A growing number of African countries are starting to produce science, technology and innovation (STI) indicators. The purpose of this paper is to provide some lessons learnt in the production and use of STI indicators in Malawi and South Africa. It is compares the two countries’ efforts to conduct Research and Development (R&D) surveys and examines whether and how STI indicators are used in policymaking processes.

The study approach is qualitative. The research methodology encompasses a thorough review of both policy and academic literature as well as some interviews.

The study demonstrates that South Africa has a relatively developed institutional arrangement for undertaking R&D and innovation surveys and developing related STI indicators. There is evidence that efforts are being made to use STI indicators to inform policymaking in the country. On the other hand, Malawi conducted its first R&D survey under the African Science, Technology and Innovation Indicators Initiative (ASTII) and has not established an institutional mechanism dedicated to producing STI indicators. There is no evidence that indicators are used in, or to inform, policymaking in the country.

Because of significant differences in STI policymaking histories, capacities and cultures of the two countries, it is not really useful to compare the STI production and use. Rather it is important to draw lessons from the efforts of the two countries.

The results suggest that the production of STI indicators should be embedded in policy processes. To be useful and effective, STI indicators production needs to be explicitly linked to policy formulation, evaluation and monitoring activities without necessarily undermining the independence of producing STI indicators.

Creating stand-alone programmes or agencies for R&D and innovation surveys without clear articulation with policymaking needs erodes opportunities of having evidence-based STI policy regimes.

Although in 2005 only South Africa and Tunisia had national programmes dedicated to the generation of R&D statistics, by the end of 2010 at least 19 African countries had experimented with conducting R&D surveys under the auspices of the ASTII of the New Partnership for Africa’s Development. These countries accumulated different experiences and consequently build different kinds of institutional capacities. Through the Malawi and South Africa case studies, some important lessons for STI indicators production and use and STI policymaking can be drawn for developing countries in general and African countries in particular.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Business research and development (R&D) is of critical importance for innovation and economic growth. The purpose of this study is to present an application of the analytic hierarchy process (AHP) to select the most appropriate policy measure to support the business expenditure on R&D (BERD).

AHP method adopts a multi-criteria approach that can be used to analyse and prioritize the policy measures based on pairwise comparisons between several attributes that affect the selection of a policy tool. The model formulated in this study is applied to a real case of supporting decision-makers in some high-tech sectors in Iran.

The results highlight the four main financial policy measures implemented in Iran to enhance the BERD; those are, public procurement for R&D, direct subsidies for R&D, grants for R&D and income tax credit for firms have the priority values of 0.280, 0.260, 0.249 and 0.211, respectively.

The findings of this study are based on subjective evaluation of policy measures by experts of designing policy measures. Objective assessment of policy measures is important too because the preferences of policy interventions change during the time. Another significant point is that the priorities of specific policy measures depend on the effectiveness of their implementing arrangement and the previously successful experience of firms in receiving them.

This paper presents an application of the AHP to select the most appropriate policy measure to support the BERD. This method could be used to prioritize the policies and interventions that governments implement to solve different problems, especially at the innovation system level.