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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.

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.

Using the EU‐KLEMS database for 12 countries and 16 industries, the purpose of this paper is to analyze the differences in technological capital intensity (R&D capital stock as a percentage of GVA) between industries and the evolution of inequalities between the EU‐11 and the USA, as well as between EU countries.

The authors use shift‐share analysis and a Theil inequality index to break down these inequalities and to quantify the importance of either a country or a specialization effect.

Results from the shift‐share analysis show that there was a technological gap in favor of the USA until the mid‐1990s linked to the greater accumulation of technological capital in most of the productive sectors considered, this being the main reason for the differences in technological innovation between the USA and the EU‐11. However, since 1995 a change in productive specialization has occurred, with a significant drop in the weight of lower technology‐intensive industries in the EU‐11 economy, as well as a significant drop in the weight of some medium technology‐intensive industries in the USA, accounting for the reduction in the technological gap between the EU and the USA. Results from the Theil index show that the differences in the productive structure of European countries explain most of their differences in technological capital intensity.

The study discusses the issue from the standpoint of the distribution of technological innovation across industries. The variable analyzed and constructed is R&D capital stock and not R&D expenditures. It applies a methodology (shift‐share analysis and Theil index) not commonly used to analyze technological innovation inequalities.

This paper aims to examine the contribution of physical capital, skilled labor, research and development (R&D), and imports to the productivity of ten Canadian food and beverage manufacturing sectors.

A Cobb‐Douglas production function is estimated to discern the relative contribution of physical versus R&D knowledge capital in fostering productivity growth. The paper uses a balanced panel dataset and is based on pooled cross‐sectional time series data for ten food and beverage manufacturing industries over the period 1994‐2005. The methodological framework adopted in this paper is a cross‐sectionally correlated and time‐wise autoregressive model. Data employed in this paper are from Statistics Canada's annual survey of manufacturing industries and Canadian Socio‐economic Information Management computerized database.

The results show that food manufacturing productivity for ten food and beverage sectors is more responsive to physical capital than R&D knowledge capital. Some of the other determinants of labor productivity in food manufacturing included the contribution from university‐educated workers.

The paper is useful to both policy makers and academics in the research fields of R&D and productivity. It provides some interesting insights into the contribution of physical and knowledge capital to food manufacturing industry productivity.

Low- and medium-technology sectors' (LMTs) role in modern economies has been overshadowed by the argument relating knowledge creation to R&D and thus to high-tech industries. Nevertheless, whereas a broader definition of innovation has enabled LMTs to emerge as innovative environments, a blind reliance on non-R&D-based indicators may be harmful too by neglecting LMTs' contribution to the development of cutting-edge, R&D-based knowledge. This paper aims to provide answers to the following questions: do LMTs innovate? Do they induce high-tech innovations across other sectors? Do networks have an impact on LMTs' innovation commitment? Can LMTs' innovation commitment be related to a better performance?

The research method used in this work was based on a case study approach using in-depth face-to-face interviews with representatives from two footwear companies and one technology supplier.

Collaboration with relevant stakeholders along the footwear value chain proved fundamental to the creation of innovation opportunities for all parties involved. Both footwear companies have embraced innovation strategies, allowing them to take over new functions along the value chain and build successful international paths. These strategies involved active participation in cutting-edge, high-tech knowledge prompting innovation at higher-tech companies too.

The paper fails to establish a clear causative relationship between companies' performance and their R&DI commitment. In addition, due to the number of companies involved in the study, the findings cannot be simply extrapolated to the whole Portuguese footwear sector.

The paper highlights the commitment to innovation in a traditional sector and explores an underresearched topic – that of LMTs' involvement in R&D activities.

To evaluate the science and technology (S&T) development framework within Estonia, a small transition country, and its biotechnology sector.

In the general overview the main concepts, actors and environment of S&T system in the triple helix context are analyzed. The empirical study explores the general research and development (R&D) environment of Estonia and particularly the biotechnology sector by mapping the actors, strategy of companies (all small and medium‐sized enterprises – SMEs), innovation processes and related expenditures of the public sector and private businesses.

The study results indicate the ratio of basic and applied research, and product/service development in the gross R&D funding structure in Estonia to be 3:3:4; in the biotechnology sector this ratio is 11:5:1. The structure of research expenditure in the public sector mostly reflects the success of Estonian biosciences rather than the success of biotech as a business sector.

Ways for improving the S&T system are suggested.

Mapping the actors, and measurement of the structure of the R&D expenses in the Estonian biotech sector and in SMEs in particular.

Knowledge competencies and (R&D) activities are one of the most important sources of innovation and have been widely discussed in the literature. In comparison, the role of the competitive environment for the innovation activities of firms is still open to debate and has not been fully understood yet. Therefore, this paper intends to provide new evidence on the interaction between knowledge competencies and R&D activities of firms on the one side and their competitiveness in the market environment on the other. In particular, the moderating function of market competition is explored. In this respect, the analysis covers the main innovation types as well as both sectors, manufacturing and services.

The empirical analysis is based on a three years panel dataset of German manufacturing and service firms obtained from Mannheim Innovation Panel (MIP) and Community Innovation Surveys (CISs: 2011, 2013 and 2015). For the estimation, a binary instrumental variable treatment model with Heckman selection method is used. Also, it provides a suitable approach to estimating the binary variables in order to cope with endogeneity concerns.

The estimation results show that R&D activities and knowledge competencies are positively related to innovation activities of different types conditioned on firms' specific perception of their competitive environment, in terms of outdated products/services as well as strong competition from abroad. Most importantly, the results from the moderation estimation reveal that there is a significant difference between the manufacturing and service sector. Service firms engage more in internal R&D activities on generating product innovations while the manufacturing firms conduct more external R&D on specific types of innovation. Further, the authors find that strong competition from abroad positively and significantly reinforces the effect of knowledge competencies on innovation activities for more types in services than in manufacturing. In contrast, outdated products and services tend to decline the effect of knowledge competencies for some innovation types in both sectors. The authors also observe a positive and significant reinforcement effect on knowledge competencies. However, it is found more beneficial for service firms since they can employ more innovation strategies.

The focus of the study is mainly on the impact of firms' competitive environment on innovation activities in various types through its interaction with knowledge competencies and R&D activities, across manufacturing and service firms.

This study investigates effects of firm-level, sector-level and business environment factors on manufacturing firms’ Research and Development (R&D) investment decisions in Kenya.

Panel Probit regression model is employed to analyse effects of the explanatory variables on manufacturing firms R&D investment decisions.

Access to external finance, lower informal sector competition, exports market participation, larger firm size and firms in high technology subsectors increase probabilities of undertaking R&D investment decisions.

The findings underscore the need to consider institutional framework, aimed at easing business environment constraints related to access to finance, export promotion and competition from informal sector enterprises. Future research should consider cross-country analysis within the Sub-Saharan African (SSA) region to understand implications of institutional contexts that prove to be a challenge to address in a study based within a single country.

Policymakers need to consider addressing business environment constraints that impede R&D investments by private sector enterprises in developing countries. Formal private sector firms should design R&D investment strategies and lobby for policy interventions targeted at business environment constraints.

This study considers effects of variables underexplored in existing literature, notably competition from informal sector firms, R&D-intensity technological classification and an objective measure of access to finance. The study also utilises a panel survey data, which was underexplored in prior studies within SSA economies.

The objective of this work is to demonstrate the relationships between the two main processes of research and development (R&D) activities: the knowledge generation phase (KPP) and the knowledge commercialization, or transfer, phase (KCP), in a sector that is intensive in this type of activity, such as the pharmaceutical sector. In addition, within the framework of the general objective of this work, the authors propose two other objectives: (1) make advances in network efficiency measurement models, and (2) determine the factors associated with efficiency in the KPP and in the KCP in companies of the pharmaceutical sector in Spain.

A Network Data Envelopment Analysis (NDEA) model (Färe and Grosskopf, 2000) with categorical variables (Lee et al., 2020; Yeh and Chang, 2020) has been applied, and a sensitivity analysis of the obtained results has been performed through a DEA model of categorical variables, in accordance with the work of Banker and Morey (1986), to corroborate the results of the proposed model. The sample is made up of 77 companies in the pharmaceutical sector in Spain.

The results obtained point to a greater efficiency of pharmaceutical companies in the KPP, rather than in the KCP. Furthermore, the study finds that 1) alliances between companies have been the accelerating factors of efficiency in the KCP (but patents have slowed this down the most); 2) the quality of R&D and the number of R&D personnel are the factors that most affect efficiency in the KPP; and 3) the quality of R&D again, the benefits obtained and the position in the market are the factors that most affect efficiency in the KCP.

The authors have not found studies that show whether the efficiency obtained by R&D-intensive companies in the KPP phase is related to better results in terms of efficiency in the KCP phase. No papers have been found that analyse the role of alliances between R&D-intensive companies and patents, as agents that facilitate efficiency in the KCP phase, covering the gap in the research on both problems. Notwithstanding, this work opens up a research path which is related to the improvement of network efficiency models (since it includes categorical variables) and the assessment of the opinions of those who are responsible for R&D departments; it can be applied to decision-making on the aspects to improve efficiency in R&D-intensive companies.