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.     

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.     

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.     

Direct and indirect knowledge spillovers and industrial productivity

This paper analyses the importance of externalities related to the spread of innovation across sectors. Such spillover effects arise from R&D activities and input–output (IO) linkages among sectors in the country. We borrow Spatial Econometrics techniques to make consistent estimates of the impact of these systematic direct and indirect spillovers on sector’s productivity and the possibility of other types of productivity spillovers in the error term. We find that direct spillovers emanating from IO horizontal linkages determine sector’s productivity, while the indirect effects prove to be negligible. Furthermore, the technological intensity of IO linkages and the productive structure of the underlying economy are key factors determining the effectiveness of economic policies focused on increasing total industrial productivity.     

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.     

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.     

Do R&D Spinoffs have Higher R&D Productivity? Evidence from Taiwanese Electronics Firms

The startup mode of spinoffs founded by R&D employees (R&D spinoffs) within the same industry is widespread in high-tech industries. The founders usually own specific human capital and key technological capability, enabling them to take the operational risk and to appropriate rewards of innovations under the industrial environment of rapid technological change. Whether high-tech R&D spinoffs, compared to their other spinoff counterparts, have better R&D productivity remains less well explored. According to the conceptual discussion of the advantages of intangible innovation assets embodied in company founders, this study argues that the founders' innovation cognition, knowledge externalities, absorptive capability and routine experience can help R&D spinoffs to have higher R&D productivity. We thus propose three hypotheses that are then empirically tested. Based on a sample of Taiwanese electronics firms, the empirical findings show that R&D spinoffs invest with a higher R&D intensity and on average have more patents issued. More importantly, the microeconometric estimates show that the patent and output elasticities of the R&D of R&D spinoffs are significantly higher than those of other firms, indicating that they actually have higher R&D productivity.     

How to interpret the position of private sector institutions in bibliometric rankings of research institutions

This paper analyzes the positions of institutions from the private domain in bibliometric rankings of as many as 27,000 research institutions and highlights factors that are crucial for a proper interpretation of such positions. It was found that among the institutions with the largest output in terms of published research articles, private firms are underrepresented, whereas in the top quartile of institutions with the largest citation impact firms are overrepresented. A firm’s publication output is not a good indicator of its R&D investment: big firms in Pharmaceutics are both heavy investors in R&D and frequent publishers of scientific articles, whereas in Automobiles firms tend to invest heavily in R&D but their publication output is low. This is ascribed to the fact that the former need a validation of their results by the scientific community, while the latter do less so. Private institutions generating the largest citation impact tend to collaborate with the best public research institutions. This reflects the crucial importance of publicly funded research for the private sector.     

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.     

Indicators of the impact of R&D on the economy

This paper reviews the literature on the economic effects of R&D and then examines the gaps in our knowledge. While most micro-studies show that R&D raises economic growth, existing knowledge of the mechanisms by which R&D affects productivity and output is sparse, and it is unclear whether the micro-studies can be generalized to the national economy. The paper concludes by examining some possible consequences of the reduced R&D effort by the United States.I have benefitted immensely from discussion with RichardNelson.     

Produce patents or journal articles? A cross-country comparison of R&D productivity change

This paper compares R&D productivity change across countries considering the fact that national R&D expenditure may produce multiple outputs, including patents and journal articles. Based on the concept of directional distance function and Luenberger productivity index, this paper develops a Luenberger R&D productivity change (LRC) index and then decomposes it into R&D efficiency change (catch-up effect) and R&D technical change (innovation effect). Utilizing a panel dataset of 29 countries over the 1998–2005 period to implement the empirical estimation, the results show that the R&D productivity growth is mainly attributed to the innovation effect; meanwhile, non-OECD countries have better performance on both efficiency change and technical change than their OECD counterparts. Moreover, patent-oriented R&D productivity growth serves as the main source of national R&D productivity growth than the journal article-oriented one.     

International scientific and technological collaboration of China from 2004 to 2008: a perspective from paper and patent analysis

Since China adopted Open-Up and Reformed Policy for global collaboration, China’s science and technology have experienced an astounding growth. Papers and patents encompass valuable scientific and technological (S&T) information and collaborative efforts. This article studies China’s international S&T collaboration from the perspective of paper and patent analysis. The results show that China’s total papers and patents have continuously increased from 2004 to 2008, the papers and patents resulting from China’s international collaboration also present a steady growth. However, there is a decline in the share of international collaboration papers and patents with a certain range due to the rapid independent R&D. China’s international scientific collaboration (ISC) is broadly distributed over many countries, the USA being the most important ISC partners. China’s international technological collaboration (ITC) is mainly carried out with USA and Taiwan, and Taiwan has been the most significant ITC partner of when taking countries’ patent output into account. Besides, ISC shows a continuous raise of Chinese papers’ citation. Even the countries with a small amount of papers and ISC with China, exert a positive influence on the impact of citation of Chinese papers as well. However, ITC does not always play an active role in the improvement of citation impact of Chinese patents.     

An assessment of the impact and visibility of South African journals

Summary Recognizing the critical role played by science and technology in the development of fuel cells, this article aims to characterize the evolution of the S&T knowledge bases of fuel cells over the nineties, using data on patents and scientific publications. The field of fuel cells is particularly heterogeneous. It covers diverse sub-fields that are marked by idiosyncratic characteristics (e.g. actors, demand, and input) and different historical developments. Although this heterogeneity of the field of fuel cells is reflected in the dynamics of S&T knowledge generation within and across its sub-fields too, this article shows that it does not entail the absence of cognitive interrelations between their S&T knowledge bases. For that purpose, the article uses “simultaneous mapping' approach of their S&T knowledge bases by means of textual analysis.     

Productivity of R&D institution: The case of Indonesia

This study analyzes the performance of Indonesian R&D institutions based on R&D productivity. By applying an institutional approach, the effects of collective determinants such as quality of researcher, R&D budgets, locations and ages of R&D institutions on productivity are considered. Our findings show that these performance variables had strong and significant effects on R&D productivity. A national innovation system should be developed in developing countries with different models from those used in developed countries. The non-economic dimension is essential in developing national innovation systems in developing countries such as Indonesia.     

Application of statistical physics methods and conceptsto the study of science & technology systems

We apply methods and concepts of statistical physics to the study of science & technology(S&T) systems. Specifically, our research is motivated by two concepts of fundamentalimportance in modern statistical physics: scaling and universality. We try to identify robust,universal, characteristics of the evolution of S&T systems that can provide guidance to forecastingthe impact of changes in funding. We quantify the production of research in a novel fashioninspired by our previous study of the growth dynamics of business firms. We study the productionof research from the point of view both of inputs (R&D funding) and of outputs (publications andpatents) and find the existence of scaling laws describing the growth of these quantities.We also analyze R&D systems of different countries to test the "universality" of our results.We hypothesize that the proposed methods may be particularly useful for fields of S&T (or forlevels of aggregation) for which either not enough information is available, or for which evolutionis so fast that there is not enough time to collect enough data to make an informed decision.     

A bibliometric study of research activity in ASEAN related to the EU in FP7 priority areas

Two relevant recent developments in the area of science and technology (S&T) and related policy-making motivate this article: first, bibliometric data on a specific research area’s performance becomes an increasingly relevant source for S&T policy-making and evaluation. This trend is embedded in wider discussions on evidence-based policy-making. Secondly, the scientific output of Southeast Asian countries is rising, as is the number of international research collaborations with the second area of our interest: Europe. Against this background, we employ basic bibliometric methodology in order to draw a picture of Southeast Asian research strengths as well the amount and focus of S&T cooperation between the countries in Southeast Asia and the European Union. The results can prove useful for an interested public as well as for the scientific community and science, technology and innovation policy-making.     

R&D vs. Other Factor Inputs in a High-Tech Industry

According to knowledge-based growth theories, catch-up with the global technology frontier calls for a shift from physical investment to innovation. This prevailing premise in Finland is tested with an unbalanced panel of firms in Finnish information and communications technology (ICT) manufacturing, over a period of rapid growth, 1990–2003. Stochastic frontier model estimation results are overwhelmed by scale elasticity associated productivity growth. Contrary to beliefs, R&D productivity was relatively low, regardless if measured by efficiency impacts of R&D intensity, technical change or R&D elasticity of output. Results are consistent with industry outcomes and reveal internal causes to the subsequent downfall of ICT manufacturing in Finland.     

The more you spend, the more you get? The effects of R&D and capital expenditures on the patenting activities of biotechnology firms

This paper provides evidence on the mechanisms influencing the patent output of a sample of small and large, entrepreneurial and established biotechnology firms from the input of indirect knowledge acquired from capital expenditures and direct knowledge from in-house R&D. Statistical models of counts are used to analyse the relationship between patent applications and R&D investment and capital expenditures. It focuses on biotechnology in the period 2002–2007 and is based on a unique data set drawn from various sources including the EU Industrial R&D Investment Scoreboard, the European Patent Office (EPO), the US Patent and Trademark Office, and the World Intellectual Property Organisation. The statistical models employed in the paper are Poisson distribution generalisations with the actual distribution of patent counts fitting the negative binomial distribution and gamma distribution very well. Findings support the idea that capital expenditures—taken as equivalent to technical change embodied in new machinery and capital equipment—may also play a crucial role in the development of new patentable items from scientific companies. For EPO patents, this role appears even more important than that played by R&D investment. The overall picture emerging from our analysis of the determinants of patenting in biotechnology is that the innovation process involves a well balanced combination of inputs from both R&D and new machinery and capital equipment.     

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.     

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.