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.
This paper reviews the issue of population size (scale effects) in idea-based growth models. It addresses both weak and strong scale effects and incorporates the related distinctive features of the three strata of idea-based growth models. The paper also comments on third-generation models, emphasising their fragile framework due to the limited range of R&D spillover space they can accommodate. It is argued that because of the shortcomings of the third-generation models, a precise mapping of the relationship between population size and economic growth requires further research.
Transition economies that formerly were within the Soviet Union’s political and economic sphere exhibited high economic growth before the crisis. In part, increasing total-factor productivity (TFP), a’ residual’ growth factor commonly interpreted as reflecting technological progress, was behind higher growth rates. This paper zooms in on TFP’s contribution to growth in the transition countries of Central and Eastern Europe, the Caucasus and Central Asia, in order to identify which countries have established a knowledge-based growth path or have the potential to develop one in the near future. We start by looking at how the transition countries covered by the paper measure up according to traditional innovation input and output indicators. But the major part of our analysis focuses on identifying countries’ potential for future knowledge-based growth. Few transition economies have highly-developed innovation profiles. Analysis of the prerequisites for knowledge-based growth indicates that transition countries are at a systemic disadvantage relative to the US, the EU-15 and Japan, and have limited potential for knowledge-based growth.
Inventions combine technological features. When features are barely related, burdensomely broad knowledge is required to identify the situations that they share. When features are overly related, burdensomely broad knowledge is required to identify the situations that distinguish them. Thus, according to my first hypothesis, when features are moderately related, the costs of connecting and costs of synthesizing are cumulatively minimized, and the most useful inventions emerge. I also hypothesize that continued experimentation with a specific set of features is likely to lead to the discovery of decreasingly useful inventions; the earlier-identified connections reflect the more common consumer situations. Covering data from all industries, the empirical analysis provides broad support for the first hypothesis. Regressions to test the second hypothesis are inconclusive when examining industry types individually. Yet, this study represents an exploratory investigation, and future research should test refined hypotheses with more sophisticated data, such as that found in literature-based discovery research.
This paper examines the influence of economic, linguistic, and political factors in the scientific productivity of countries across selected scientific disciplines. Using a negative binomial regression model, I show that the effect of these determinants is contingent upon the scientific field under analysis. The only variable that exerts a positive and significant effect across all disciplines is the size of the economy. The linguistic variable only has a positive influence in the social sciences as well as in medicine and agricultural sciences. In addition, it is also demonstrated that the degree of political authoritarianism has a negative and statistically significant effect in some of the selected fields.
This paper investigates the role of extra-regional capabilities in regional economic development in a Central and Eastern European context. This is done by analysing the association between the related variety of manufacturing import and export of domestic- and foreign-owned firms on the one hand, and regional employment in manufacturing export on the other. By means of a panel regression framework applied to the Hungarian microregions between 2000 and 2011, we find that domestic firms, in particular, benefit from the related variety of export activities in the regions, while import related to existing export activities is beneficial amongst both foreign and domestic firms. Furthermore, bridging the technological gap between foreign companies and the host economy requires stronger technological relatedness, unless domestic firms have experience in importing.
This case study of the medical technology sector in Czechia places a major focus on the position of Czech firms, particularly SMEs, in global production networks and their internationalization. The medical technology (MedTech) industry is on the rise in Czechia, although in relative terms it is part of a relatively less important category. Three types of MedTech firms have been identified in Czechia: branches of TNCs, mostly domestically-owned innovative SMEs, and local SMEs focusing on low-value production. Despite there being several innovative and successful firms, production is dominated by low-value disposables and medical and surgical products. Apart from exports, other forms of internationalization are rare and occur mostly among a number of innovative firms. With a few exceptions, production facilities are established in neighboring post-communist countries. The low levels of internationalization are mostly related to the nature of local SMEs as well as the limited ambitions of local firms. With more sophisticated products Czech SMEs could focus more on Eastern European countries outside the EU, where Czechia has historical economic ties and the regulatory requirements are likely to be less strict. An industry move towards connected health solutions is also an opportunity for start-ups focusing on health applications.
Thermal behaviour of the
glass series (100–y)[0.5ZnO0.1B2O30.4P2O5]yTiO2
(with y=0–39 mol% TiO2)
was investigated by DSC and TMA. The addition of TiO2
results in a non-linear increase of glass transition temperature. The compositional
dependences of thermal stability, evaluated by two criteria exhibit two maxima
for the glasses doped with 10.7 and 35.9 mol% TiO2.
All the glasses crystallize on heating in the temperature range of 576–670C.
The crystallization mechanism was studied at the glasses with 19.4 and 35.9
mol% TiO2 and the results showed that surface nucleation
mechanism prevails in these glasses over the internal one.
Tartamkísérletben, réti talajon vizsgáltuk a vetésváltás és az NPK műtrágyázás hatását a kukorica termésére.
A vetésváltás nagymértékben meghatározta a kukorica termése mellett az NPK műtrágya agroökológiai optimumát is. Kedvező vetésváltásban, trikultúrában (borsó – őszi búza – kukorica – kukorica) 20 év átlagában 1,58 t/ha-ral, bikultúrában (őszi búza – kukorica – kukorica – őszi búza) 1,25 t/ha-ral nagyobb termést kaptunk a monokultúrában termesztett kukoricához viszonyítva.
A vetésváltás a kukorica termésstabilitását is nagymértékben befolyásolta. Kedvező és kedvezőtlen években egyaránt trikultúrában a legstabilabb a kukorica termése, ugyanakkor a környezeti feltételek javulásával szintén a trikultúrás kukorica képes a legnagyobb – akár 18 t/ha-os – terméseredményre. A vetésforgó és a N műtrágyázás jelentős mértékben befolyásolta a talaj pH értékét, míg monokultúrás termesztés esetén szignifikánsan kisebb pH értéket kaptunk, mint bi-, illetve trikultúrás termesztés esetén.
A kukoricahibridek termőképessége, természetes tápanyagfeltáró- és hasznosító képessége, továbbá trágyareakciója is nagymértékben eltérő.
A kukoricahibrideket a termőképesség és a műtrágyareakció alapján intenzív, átlagos és extenzív csoportokba soroltuk.
Az agroökológiai műtrágyaoptimum előveteménytől, évjárattól és a hibridtől függően N 40–120, P2O5 25–75, K2O 30–90 kg/ha hatóanyag, amellyel adott körülmények között a legnagyobb termést lehet elérni.
In order to enhance the adaptability and yield stability of maize, the effect of nutrient supply and plant density on yield was studied on a calcareous chernozem soil in Debrecen, while the relationship between sowing date and the grain moisture content at harvest was investigated on a typical meadow soil in Hajdúböszörmény. In the plant density experiment, the plant densities applied were 45, 60, 75 and 90 thousand plants/ha. The optimal fertilizer rates for the maize hybrids were: N 40-120, P2O5 25-75, K2O 30-90 kg ha-1. The application of NPK fertilizers in a wet year increased the yield by 40-50%. Hybrids with good chilling resistance at germination can be sown as early as 10 April, when the soil temperature reaches 8-10°C. There was a significant correlation between sowing date and the grain moisture content at harvest. When hybrids with good chilling resistance at germination were sown early, the grain moisture content at harvest was reduced by 5-10%. A plant density higher than the optimum reduces yield and yield stability. The optimal plant densities determined in the experiment were 60, 75 and 90 thousand plants/ha for two, three and one hybrid, respectively.