State-owned MNCs and host country expropriation risk: the role of home state soft power and economic gunboat diplomacy

This is the author accepted manuscriptExpropriation risk has a binding effect on foreign direct investment (FDI). However, state-owned multinational corporation (MNCs) may counter the monopoly power of the host state by leveraging the political influence of their home government. The magnitude of this counter force, we argue, may vary, depending on the strength of political relations between the home and host state, and the level of economic dependence of the host country on the home market. We find supporting evidence of our hypotheses using Chinese firm level FDI information between 2003 and 2010

A race to lower standards? Labor standards and location choice of outward FDI from the BRIC countries

This is the author accepted manuscriptScholars argue that multinational corporations tend to locate their investment in countries with lower labor standards, but empirical results are highly inconsistent. In this paper, we investigate the effect of differential labor standards on the location choice of outward greenfield foreign direct investment (FDI) from Brazil, Russia, India and China (i.e., the BRIC countries). We find robust evidence that while there is a tendency towards the attraction of FDI by lower labor standards in developed countries, such a “race” is absent in FDI directed to developing countries. Location choice is highly path dependent upon previous trading relations between the home and the host country, which hampers the MNCs’ ability to arbitrage. Conversely, capital mobility at the industry level is found to intensify the race to lower standards

The dissuasive effect of U.S. political influence on Chinese FDI during the “Going Global” policy era

This is the author accepted manuscriptBuilding on the growing debate on political determinants of foreign direct investment, we investigate the relationship between U.S. political influence and the global distribution of China's outward foreign direct investment (OFDI). Using country-level and firm-level datasets of China's greenfield investment, we find strong evidence that Chinese state controlled firms strategically reduce investment in host countries under significant political influence of the United States. Our results are robust to alternative specification and two falsification tests. The findings suggest that the Chinese government uses FDI as a way of economic diplomacy

Traveling Wave Solutions in a Chain of Periodically Forced Coupled Nonlinear Oscillators

Motivated by earlier studies of artificial perceptions of light called phosphenes, we analyze traveling wave solutions in a chain of periodically forced coupled nonlinear oscillators modeling this phenomenon. We examine the discrete model problem in its co-traveling frame and systematically obtain the corresponding traveling waves in one spatial dimension. Direct numerical simulations as well as linear stability analysis are employed to reveal the parameter regions where the traveling waves are stable, and these waves are, in turn, connected to the standing waves analyzed in earlier work. We also consider a two-dimensional extension of the model and demonstrate the robust evolution and stability of planar fronts and annihilation of radial ones. Finally, we show that solutions that initially feature two symmetric fronts with bulged centers evolve in qualitative agreement with experimental observations of phosphenes

Spatiotemporally consistent global dataset of the GIMMS leaf area index (GIMMS LAI4g) from 1982 to 2020

Leaf area index (LAI) with an explicit biophysical meaning is a critical variable to characterize terrestrial ecosystems. Long-term global datasets of LAI have served as fundamental data support for monitoring vegetation dynamics and exploring its interactions with other Earth components. However, current LAI products face several limitations associated with spatiotemporal consistency. In this study, we employed the back propagation neural network (BPNN) and a data consolidation method to generate a new version of the half-month 1/12∘ Global Inventory Modeling and Mapping Studies (GIMMS) LAI product, i.e., GIMMS LAI4g, for the period 1982–2020. The significance of the GIMMS LAI4g was the use of the latest PKU GIMMS normalized difference vegetation index (NDVI) product and 3.6 million high-quality global Landsat LAI samples to remove the effects of satellite orbital drift and sensor degradation and to develop spatiotemporally consistent BPNN models. The results showed that the GIMMS LAI4g exhibited overall higher accuracy and lower underestimation than its predecessor (GIMMS LAI3g) and two mainstream LAI products (Global LAnd Surface Satellite (GLASS) LAI and Long-term Global Mapping (GLOBMAP) LAI) using field LAI measurements and Landsat LAI samples. Its validation against Landsat LAI samples revealed an R2 of 0.96, root mean square error of 0.32 m2 m−2, mean absolute error of 0.16 m2 m−2, and mean absolute percentage error of 13.6 % which meets the accuracy target proposed by the Global Climate Observation System. It outperformed other LAI products for most vegetation biomes in a majority area of the land. It efficiently eliminated the effects of satellite orbital drift and sensor degradation and presented a better temporal consistency before and after the year 2000. The consolidation with the reprocessed MODIS LAI allows the GIMMS LAI4g to extend the temporal coverage from 2015 to a recent period (2020), producing the LAI trend that maintains high consistency before and after 2000 and aligns with the reprocessed MODIS LAI trend during the MODIS era. The GIMMS LAI4g product could potentially facilitate mitigating the disagreements between studies of the long-term global vegetation changes and could also benefit the model development in earth and environmental sciences. The GIMMS LAI4g product is open access and available under Attribution 4.0 International at https://doi.org/10.5281/zenodo.7649107 (Cao et al., 2023).</p

Eukaryotic algal phytochromes span the visible spectrum

Plant phytochromes are photoswitchable red/far-red photoreceptors that allow competition with neighboring plants for photosynthetically active red light. In aquatic environments, red and far-red light are rapidly attenuated with depth; therefore, photosynthetic species must use shorter wavelengths of light. Nevertheless, phytochrome-related proteins are found in recently sequenced genomes of many eukaryotic algae from aquatic environments. We examined the photosensory properties of seven phytochromes from diverse algae: four prasinophyte (green algal) species, the heterokont (brown algal) Ectocarpus siliculosus, and two glaucophyte species. We demonstrate that algal phytochromes are not limited to red and far-red responses. Instead, different algal phytochromes can sense orange, green, and even blue light. Characterization of these previously undescribed photosensors using CD spectroscopy supports a structurally heterogeneous chromophore in the far-red-absorbing photostate. Our study thus demonstrates that extensive spectral tuning of phytochromes has evolved in phylogenetically distinct lineages of aquatic photosynthetic eukaryotes

Chinese multinationals: host country factors and foreign direct investment location

The study of Chinese multinationals (MNEs) is becoming one of the most promising research topics in the international business literature. After outlining the distinctive characteristics of the internationalization process of Chinese MNEs, this chapter analyzes the influence of various host country factors on the location of Chinese outward foreign direct investment (FDI). From a sample of 189 outward FDI decisions made by 35 mainland Chinese firms in 63 countries, our results show that host market size and the existence of overseas Chinese in the host country are positively associated with the number of Chinese FDIs. However, greater difficulty in doing business and host country political risk have no effect

Determinants of international students' academic performance: A comparison between Chinese and other international students

With the increasing number of international students travelling to well-developed countries for higher education, there has been a growing interest in exploring the factors that influence their academic performance during their overseas studies. This study aims to give an insight into international students' learning experience by investigating the differences between Chinese and non-Chinese cultural groups and leads to the identification of the key predictors of their academic achievement via multiple regression analysis. The results suggest that the perceived importance of learning success to family, English writing ability, and social communication with their compatriots are significant predictors for all international students. As the predominant group, Chinese students display some distinctive characteristics. A less active learning strategy is observed among Chinese students relative to others, but no evidence has found that this negatively affects their academic achievement. © 2010 Nuffic

Employment Protection and Multinational Enterprises: Theory and Evidence from Micro Data

In this paper we show, theoretically and empirically, that stronger employment protection legislation (EPL) in a host country has important and differing effects on the various activities of multinational enterprises (MNEs). Using micro data on affiliates to Swedish multinational firms in 20 countries for the period of 19651998, we find that increased stringency in EPL is associated with fewer investments in new affiliates and lower employment in existing affiliates. We also find that it is mainly affiliate exports that are affected negatively by stronger EPL, while the impact on local sales is small. This is in accordance with our theoretical model, which predicts that the impact of EPL on the costs of competing firms is likely to put affiliates at a smaller disadvantage when selling for the local market than in the production for exports

The influence of photoperiod and light intensity on the growth and photosynthesis of Dunaliella salina (chlorophyta) CCAP 19/30

The green microalga Dunaliella salina survives in a wide range of salinities via mechanisms involving glycerol synthesis and degradation and is exploited for large amounts of nutraceutical carotenoids produced under stressed conditions. In this study, D. salina CCAP 19/30 was cultured in varying photoperiods and light intensities to study the relationship of light with different growth measurement parameters, with cellular contents of glycerol, starch and carotenoids, and with photosynthesis and respiration. Results show CCAP 19/30 regulated cell volume when growing under light/dark cycles: cell volume increased in the light and decreased in the dark, and these changes corresponded to changes in cellular glycerol content. The decrease in cell volume in the dark was independent of cell division and biological clock and was regulated by the photoperiod of the light/dark cycle. When the light intensity was increased to above 1000 μmol photons m−2 s−1, cells displayed evidence of photodamage. However, these cells also maintained the maximum level of photosynthesis efficiency and respiration possible, and the growth rate increased as light intensity increased. Significantly, the intracellular glycerol content also increased, >2-fold compared to the content in light intensity of 500 μmol photons m−2 s−1, but there was no commensurate increase in the pool size of carotenoids. These data suggest that in CCAP 19/30 glycerol stabilized the photosynthetic apparatus for maximum performance in high light intensities, a role normally attributed to carotenoids