Measuring S&T activities in the Former Socialist Economies of Central and Eastern Europe: Conceptual and methodological issues in linking past with present

The economic and social transformation of countries of central and eastern Europe has deeply affected their S&T systems. However, conceptual and methodological problems in monitoring transformation of their S&T systems are not trivial. In this paper we analyse conceptual and methodological issues involved in measuring S&T activities in the socialist and post-socialist period across the most important S&T indicators (R&D, US and national patents; innovation surveys; bibliometrics). Our conclusions are that: i) the process of methodological harmonisation of S&T indicators has progressed considerably and we have provided some evidence in that respect; ii) the use of similar or identical indicators (business R&D, innovation counts, patents, citations) when making inter-country or inter-temporal comparisons should be approached with caution because of the significant differences between the socialist and post-socialist periods as well as between post-socialist R&D systems and R&D in other market economies. This latter applies especially to the interpretation of business R&D data in the post-socialist period. A first version of this paper was presented at the Conference on the implementation of OECD methodologies for R&D/S&T statistics in central and eastern European countries' which was held in Budapest from 6.–8. November 1996. Research which formed the basis for this paper was funded in case of one of the authors by the EC TSER programme. Correspondence should be addressed to: SlavoRadosevic, SPRU, University of Sussex, BN1 9RF, Brighton. We are grateful to SylvanKatz for stimulative discussions and to two anonymous referees for comments in revisions of this paper. The views expressed in this paper are those of the authors and do not necessarily reflect those of the organisations for which they work.     

Scientific productivity paradox: The case of China's S&T system

Summary In 1985 China began the reform of its Science & Technology (S&T) sector inherited from the planned economy. To disclose the impact of the drawn-out reform on the efficiency of the whole sector, we measure the scientific productivity of China's S&T institutes. The analysis is based on R&D input and output data at the country aggregate and provincial level. We utilize Polynomial Distributed Lag model to uncover the structure of the lag between R&D input and output. The findings reveal that the growth rate of scientific productivity of China's S&T institutes has been negative since the 1990s.     

Status of physics research in India: An analysis of research output during 1993–2001

The paper reviews the present status of Indian physics research, in particular its nature of research system, nature of institutions involved, type of education offered and outturn at postgraduate and Ph.D level, the extent to which extra-mural funding support is available from various governmental R&D agencies, and the nature of professional organizations involved. The study is based on analysis of Indian physics output, as indexed in Expanded Science Citation Index (Web of Science) during 1993–2001. The study also discusses various features of Indian physics research such as its growth in terms of research papers, institutional publication productivity, nature of collaboration, and the quality and impact of its research output.     

The effect of performance-based research funding on output of R&D results in the Czech Republic

We have studied the effects of performance-based research funding introduced to the Czech (CZ) R&D system in 2008 on outputs of R&D results. We have analyzed annual changes in number of various types of publications and applications including patents before and after this change. The growth-rate of almost all types of results has accelerated in 2005 or 2006 and the increase continued till 2010. The growth of result quantity in the CZ has been faster than in seven other European countries selected for comparison. Because the accelerated growth has started already before 2008, implementation of the performance-based funding could not have been its cause. Likely cause of the growth could be either the evaluation of R&D institutions introduced in 2004 itself and/or growth of public R&D funding in the past decade. Because the increase of the citation impact of publications lagged behind the increase of their quantity, we conclude that the evaluation is not based on optimal indicators.     

A fuzzy set theory approach to national composite S&;T indices

Summary Composite science and technology (S&T) indices are essential to overall understanding and evaluation of national S&T status, and to formulation of S&T policy. However, only a few studies on making these indices have been conducted so far since a number of complications and uncertainties are involved in the work. Therefore, this study proposes a new approach to employ fuzzy set theory and to make composite S&T indices, and applies it. The approach appears to successfully integrate various S&T indicators into three indices: R&D input, R&D output, and economic output. We also compare Koreas S&T indices with those of five developed countries (France, Germany, Japan, the United Kingdom, and the United States) to obtain some implications of the results for Koreas S&T.     

Structural changes in S&T research in India

Before India became an independent country, its scientists and policy makers could foreseethe importance of science in its development, and accordingly a number of research anddevelopment (R&D) institutions were established. However during these five decades ofindependence, the choice between basic sciences and technology was always a subject of debate.It will be appropriate now to examine the changing patterns of Science and Technology (S&T)manpower growth to find out the ground truth reality. The present study pertains to the analysis ofS&T outturn data in various fields of scientific research that can provide a base for S&T planningand policy making. These S&T indicators will be helpful in estimating future requirements, whichin turn can be useful to a great extent in science and technology policy formulation. Theseestimates and future projections are based on mathematical modelling of the data pertaining to theoutturn of highly qualified Scientific and Technical (S&T) personnel in India from differentfaculties over the period 1990-1998. From the trend analysis it is evident that research is no moreperceived as an interesting career except in the field of engineering and medicine. The findingsfurther suggest that there is a noticeable shift from basic sciences to technology.     

Mapping the dynamics of knowledge base of innovations of R&;D in Bangladesh: triple helix perspective

Triple helix (TH) collaborations involving university, industry and government provide a networked infrastructure for shaping the dynamic fluxes of knowledge base of innovations locally and these fluxes remain emergent within the domains. This study maps these emergence dynamics of the knowledge base of innovations of Research & Development (R&D) by exploring the longitudinal trend of systemness within the networked research relations in Bangladesh on the TH model. The bibliometric data of publications collected from the Science Citation Index (SCI), the social sciences and the arts and humanities for analysis of science indicators and the patent data collected from the US Patent Office to analyze the patent success ratio as a measure of innovation within TH domains. The findings show that the network dynamics have varied considerably according to the R&D policies of the government. The collaboration patterns of co-authorship relations in the SCI publications prominently increased, with some variation, from 1996 to 2006. Nevertheless, inter-institutional collaboration negatively influenced by the national science and technology (S&T) research policies in the last 5 years due to their evaluation criteria. Finally, the findings reveal that the R&D system of Bangladesh is still undergoing a process of institutionalizing S&T and has failed to boost its research capacity for building the knowledge base of innovations by neglecting the network effects of TH dynamics.     

Energy R&D: investment challenge

Despite dependence on foreign oil that keeps countries like the US embroiled in the Middle East, and amid fears of global warming, research and development (R&D) funding for energy technologies has declined significantly during the last two decades throughout the industrial world. Investments in energy technology R&D, and in associated human and institutional capacity, are fundamental to our ability to respond to changing economic, energy, and environmental needs.Although there has been a recent wave of interest in R&D policy in general, and energy R&D in particular, this has not been translated into the needed increases in funding. In most OECD (Organization for Economic Co-operation and Development) member countries, government energy technology R&D budgets have been declining significantly in real terms since the early 1980s. The trends are particularly troubling given the pressing need to develop and utilize the clean energy and low carbon fossil-fuel energy technologies that will be critical in meeting our future energy needs, while addressing the local and global environmental problems we are facing.     

Systemic aspects of R&D policy subsidies for R&D collaborations and their effects on private R&D

This paper analyses how context- and time-dependent factors determine the impact of R&D subsidies on firm behaviour with respect to private R&D expenditures. Based on German R&D survey data, we combine propensity score matching with a difference-in-difference estimator in order to measure the causal influence of public direct R&D project funding on firm behaviour. Our results indicate that (i) repeated participation in R&D projects on average leads to a higher increase in R&D expenditures than once-off funding; (ii) the aggregate effect of R&D funding on R&D expenditures of business firms is somewhat higher for business–business collaboration projects than for science–business collaboration projects; (iii) R&D expenditures of business firms that cooperate with science show a higher share of external R&D spending. Results of one particular cluster programme indicate that at least the short-term development of R&D does not so much depend on which programme direct R&D project funding is applied to.     

Science and technology policies: A tale of political use,misuse and abuse of traditional R&;D indicators

Future political priorities for science and technology (S&T) policy formulation usually rest on a rather simplistic interpretation of past events. This can lead to serious errors and distortions and can negatively affect the innovation system. In this article we try to highlight the riskiness involved in policy making based on traditional R&D indicators and trends. We would emphasise that this approach does not take account of structural aspects crucial for the analysis of the innovation system. We examine the implications for science, technical and human resources policies of the political challenge of R&D convergence in a peripheral EU region. Three scenarios are developed based on application of the same criteria to the trends observed in traditional R&D input indicators.     

A Business Intelligence Approach to Monitoring and Trend Analysis of National R&D Indicators

The economic growth and competitiveness of countries is strongly influenced by their national research and development (R&D) systems. Hence, national R&D managers must make appropriate decisions to develop their R&D systems. For this purpose, an integrated view on the dimensions of national R&D systems is much needed. Due to the distribution of relevant data sources for national, R&D indicators and the complexity of national R&D systems, establishing an integrated view is challenging. In this article, we propose a business intelligence architecture to monitor, analyze, and forecast national, R&D indicators. Data for these indicators are integrated from heterogeneous data sources. In a case study focusing on Iranian R&D indicators, a prototype system is designed and implemented to evaluate its effectiveness in practice. After monitoring the indicators using online analytical processing, trends for the indicators across 11 years are forecasted using time series analysis models. The prototype system provides an integrated view of the Iranian R&D system, so that national R&D managers can use the developed system for monitoring and trend analysis of Iranian R&D indicators. As a result of the analysis of these trends, implications and recommendations for the future of the Iranian R&D system are presented.     

Dynamics of the modern Venezuelan research community profile

Summary The main characteristics, human resources, organizational development, R&D output and outcome of the Venezuelan scientific and technological community, are studied in depth for three specific dates - years 1954, 1983 and 1999 -, aiming to reveal its strengths and weaknesses and to establish its dynamics. During the first half of the twentieth century, Venezuela had no major organized or institutionalized scientific activity. From 1954 thru 1983, the State built a considerable number of institutions mostly for research and development activities. Initially, researchers came from classical professions but were later substituted by graduates in scientific and technological disciplines. Biomedical and basic sciences are the areas of knowledge favored by researchers while, in terms of intellectual creation, social sciences and humanities seem to be the less productive, despite being one of the fields of knowledge embraced by most professionals. Although from 1983 on there has been no major input to the national S&T system, the research community showed a few years of growth in absolute terms in the number of publications, however national productivity decreased during the last decade of the century. It is believed that this reflects an aging, asphyxiated and self-consuming community using its reserves at a maximum rate. The S&T system constructed exhibits a dominance of the public sector that privileged, financially, the hydrocarbon related technological/service industry at the expense of academic research in universities while maintaining agribusiness related service and developmental research at the same level of expenditure throughout the last twenty years of the twentieth century. While the generation - practically from zero - of a modern R&D community in Venezuela, together with higher education, could well be one of the most significant accomplishments of democracy in Venezuela, this remarkable social achievement has been put in peril by neglect and changes in public policies. Downturn of the national S&T system is bound to worsen due to a virtual collapse, on February 4, 2002, of the R&D centre of the nationalized oil industry.     

Condensed matter physics: An analysis of India’s research output, 1993–2001

The study analyses 27018 research papers published by India in condensed matter physics as seen from Science Citation Index-Extended Version (SCIE) (Web of Science) database for the period 1993–1995, 1996–1998 and 1999–2001. The study reports that condensed matter physics is the most sought after branch in physics research in India, accounting for 20% share of the country output in physics. The University & College sector as well as R&D sector are the major contributors to condensed matter physics. However, the country growth in this field, computed on six yearly basis, has still been negative (−1%) compared to 17.4% country growth in overall physics during the same period, 1993–1995 to 1999–2001. The study also maps condensed matter physics research on other dimensions such as institutional productivity, nature of collaboration in research, and institutional specialization. It examines highly cited papers, and lists prominent and productive scientists in this field. It also provides suggestions for accelerating condensed matter research in India.     

Increasing the return on investment from federally-funded research and development

Abstract

Each year, the United States invests approximately $495 billion in research and development (R&D) – about a quarter of the total global investment. While the private sector accounts for about 67% of U.S. investment, the Federal government plays a critical role in funding R&D, particularly in areas that address societal needs in which the private sector does not yet have sufficient clear or strong incentive to make the required investments. The Federal government invests approximately $150 billion each year in R&D conducted at Federal laboratories, universities and other research organizations. As Federal R&D investments wind down or are completed, additional work is often still needed to translate the knowledge accrued from that R&D into products and services that will improve lives and provide economic growth. Technology transfer is the process by which existing knowledge, facilities or capabilities developed through R&D are utilised to fulfill public and private need. The transfer of technology from federally-funded R&D to the private sector is crucial to realising the taxpayer’s return on investment in the Federal R&D ecosystem. However, moving innovations from the lab to the market is more than inventing products for people to buy. Technology transfer is about creating jobs and growing the economy; ensuring a strong, secure, and resilient Nation; and improving Americans’ health and environment, fostering the conditions for America to maintain leadership in global innovation.     

Sponsored R&D in India: The project sponsoring pattern and main outcome of projects sponsored by major central departments/agencies

This paper examines the project sponsoring pattern and the outcome of extramural R&D with respect to the projects sponsored by country's eleven central agencies during the Seventh Five-Year Plan period. The outcome considered are: contribution of R&D support to development of R&D facilities at the recipient institutions, creation of employment through project posts, development of new technologies, quantum and quality of research publications and generation of doctoral thesis. The paper concludes that sponsored R&D has largely remained one-way flow of funds to a preferred set of institutions (as perceived by each sponsoring agency) and the outcome of the R&D have also remained unexamined by the respective funding agencies. The paper advocates development of a monitoring system which would help in enhancing the utilisation of sponsored R&D and its overall impact on science, society and economy.     

Scattering and absorption cross sections of light diffusing materials retrieved from reflectance and transmittance spectra of collimated radiation

Four-flux radiative transfer models have been extensively used to describe reflectance and transmittance (R&T) spectra of light scattering and absorbing (S&A) media. Solutions to the differential equations corresponding to the collimated fluxes are obtained by subsequent application of boundary conditions. Explicit expressions for the collimated R&T of light are reported, when considering a light S&A medium contained between two glass slides, an experimental arrangement which is appropriate for liquid suspensions and viscous matrices containing solid particles. A spectral simulated annealing method is applied to retrieve, from measured R&T spectra of collimated light under normal incident radiation, the scattering and absorption coefficients of the composite medium. First, the accuracy of the method is established by applying it to synthetic collimated R&T data. Secondly, we apply the method to experimental data and use it to determine the S&A coefficients of a layer of TiO₂ particles dispersed in a PVP/water matrix.     

Out of particles: Impact of CERN, DESY and SLAC research to fields other than physics

This paper presents the results of an exploratory bibliometric study aiming at an analysis of basic high energy physics (HEP) research impact on fields other than physics, and particularly on application-oriented R&D. After a general discussion of an extensive citation analysis of basic research publications from three HEP institutes—CERN, DESY, and SLAC—the paper focuses on the ‘knowledge flow’ from physics to non-physics, and more specifically the flow from basic physics research to the ‘applied world’. At this level, we report journal- as well as research field characteristics, and we identify the most frequently citing R&D groups. We conclude that DESY is most cited by the ‘applied world’, followed by SLAC and CERN. If the number of journals that institutes have in common—whether based on the source or the citing publication—is taken as an indicator of the resemblance of their research interests, we found that CERN and SLAC have the closest resemblance, followed by SLAC and DESY, with CERN and DESY having the least in common.     

Diversity of research publications: relation to agricultural productivity and possible implications for STI policy

Technologies may have significant effects on productivity in the agricultural sector as documented in the related literature. However, those impacts vary from country to country. These differences could partially reflect the distinct scientific landscapes, science technology and innovation (STI) policies and approaches to R&D. In order to explain the cross-country volatility of agricultural productivity, we aim to study issues of STI development in the agricultural sector in each country. Among other characteristics of STI in general and the scientific landscape, in particular, we looked at the diversification of research publication between subfields of agricultural science. We estimated the research diversification parameter and studied its relation to economic performance of an agricultural sector. Our main finding shows that R&D funding, if carefully balanced with the diversification of agricultural science, could improve research performance and eventually productivity in an agricultural sector.     

Endogenous dynamics between R&D,ICT and economic growth: Empirical evidence from the OECD countries

Intensification of research and development (R&D) and the information and communication technology (ICT) infrastructure have been regarded as important drivers for sustained economic growth across the globe. In this study, using a panel vector autoregressive model, we examine the endogenous relationships between R&D, ICT infrastructure development and economic growth in the OECD countries between 1961 and 2018. The empirical results show that both R&D and ICT infrastructure development contribute to long-term economic growth in the OECD countries. The short-run dynamics show that complex inter-relationships between these variables exist. The key insight from this study is that to attain sustained economic growth, policymakers in the OECD economies should put in place an integrated framework that takes into consideration co-development policies pertaining to R&D investment, ICT diffusion and economic growth-enhancing initiatives.     

R&D policy instruments – a critical review of what we do and don’t know

In recent years, the term “policy instrument” has been used frequently with regard to R&D policy and innovation policy. This article examines the development of the term as part of a body of research known as “policy design”. Over the last 50 years, there has been substantial progress in setting policy design on a more systematic basis, with the development of established concepts and analytical frameworks, including various taxonomies of policy instruments. However, with just a few exceptions, this body of research seems to have had little impact in the world of R&D policy. The paper reviews the literature on R&D policy instruments, identifies a number of challenges for R&D policy instruments in the light of four transitions and sets out a research agenda for the study of R&D policy instruments, before ending with a number of conclusions.