INTRAINDUSTRIJSKA TRGOVINA SJEDINJENIH AMERIČKIH DRŽAVA

The main objective of this manuscript is to explain the horizontal and vertical intra-industry trade of United States with trade partner of NAFTA, European Union and ASEAN. Identify the determinants of intra-industry trade, horizontal and vertical. Using a panel data approach, the results show a negative correlation between endowments and intra-industry trade. These results indicate that intra-industry trade occurs more frequently among countries that are similar in terms of factor endowments. The findings support the theory that, in general, there is no positive statistical association between HIIT and HO variables. Our results also confirm the hypothesis that trade increases if the transportation costs decrease.Cilj ovog rada je objasniti horizontalnu i vertikalnu intraindustrijsku trgovinu SAD-a s trgovinskim partnerima NAFTA-e, Europske Unije i ASEAN-a, te utvrditi determinante intraindustrijske trgovine, horizontalne i vertikalne. Koristeći pristup panelnih podataka, rezultati pokazuju negativnu korelaciju između zaklada i intraindustrijske trgovine. Ti rezultati ukazuju na to da se intraindustrijska trgovina češće odvija među zemljama koje imaju sličnosti po pitanju zaklada. Nalazi potvrđuju teoriju da, generalno gledano, nema pozitivne statističke veze između HIIT i HO varijabli. Naši razultati također potvrđuju hipotezu da trgovine raste ako se smanjuju troškovi prijevoza

Determinants of United States’ Vertical and Horizontal Intra-Industry Trade

This paper investigates bilateral intra-industry trade between the United States and its major trading partners over the period 1995–2008. Intra-industry trade (IIT) is decomposed into horizontal (HIIT) and vertical (VIIT) components. HIIT dominates the total two-way trade of the United States andits share relative to VIIT has been rising over time, particularly with neighbouring trade partners and with China. Using pooled panel data, country-level determinants of IIT, HIIT and VIIT are investigated. The results, overall, tend to conform with a priori expectations and provide empirical support for anumber of propositions suggested by theory. Findings indicate that the relative similarity of the economies of trading partners, their geographical proximity, FDI and overall market size are important influences on bilateral HIIT flows for the United States. VIIT, on the other hand, is found to be driven in large part by economic differences between partners as well as the market size and closenessof trading partners

Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks

Computational complexity has been the bottleneck of applying physically-based simulations on large urban areas with high spatial resolution for efficient and systematic flooding analyses and risk assessments. To address this issue of long computational time, this paper proposes that the prediction of maximum water depth rasters can be considered as an image-to-image translation problem where the results are generated from input elevation rasters using the information learned from data rather than by conducting simulations, which can significantly accelerate the prediction process. The proposed approach was implemented by a deep convolutional neural network trained on flood simulation data of 18 designed hyetographs on three selected catchments. Multiple tests with both designed and real rainfall events were performed and the results show that the flood predictions by neural network uses only 0.5 % of time comparing with physically-based approaches, with promising accuracy and ability of generalizations. The proposed neural network can also potentially be applied to different but relevant problems including flood predictions for urban layout planning

IMIGRACIJA I TRGOVINA

This paper investigates the relationship between intra-industry trade (IIT), horizontal IIT, vertical IIT (VIIT) and immigration flows using a gravity model for the period 1995-2008 amongst Portugal and European Union’s Member States (EU-27). Using a panel data approach, the results show a positive correlation between immigration and IIT. These outcomes indicate that the immigration can reduce transaction costs between home and host country. We also consider the economic dimension which appears to exercise a positive effect on trade. Our research confirms the hypothesis that there is a negative effect of transportation costs on trade.Rad istražuje odnos između intraindustrijske trgovine (IIT), horizontalne IIT, vertikalne IIT (VIIT) i imigracijskih tokova koristeći gravitacijski model za period od 1995. do 2008. u Portugalu i zemljama članicama EU (EU-27). Koristeći pristup panelnih podataka, rezultati pokazuju pozitivnu korelaciju između imigracije i IIT. Takvi rezultati upućuju na to da imigracija može umanjiti transakcijske troškove između zemlje porijekla i zemlje domaćina. Također smo razmotrili ekonomsku dimenziju koja izgleda da ima pozitivan učinak na trgovinu. Naše istraživanje potvrđuje hipotezu da troškovi prijevoza imaju negativan učinak na trgovinu

Stochastic urban pluvial flood hazard maps based upon a spatial-temporal rainfall generator

It is a common practice to assign the return period of a given storm event to the urban pluvial flood event that such storm generates. However, this approach may be inappropriate as rainfall events with the same return period can produce different urban pluvial flooding events, i.e., with different associated flood extent, water levels and return periods. This depends on the characteristics of the rainfall events, such as spatial variability, and on other characteristics of the sewer system and the catchment. To address this, the paper presents an innovative contribution to produce stochastic urban pluvial flood hazard maps. A stochastic rainfall generator for urban-scale applications was employed to generate an ensemble of spatially—and temporally—variable design storms with similar return period. These were used as input to the urban drainage model of a pilot urban catchment (~9 km2) located in London, UK. Stochastic flood hazard maps were generated through a frequency analysis of the flooding generated by the various storm events. The stochastic flood hazard maps obtained show that rainfall spatial-temporal variability is an important factor in the estimation of flood likelihood in urban areas. Moreover, as compared to the flood hazard maps obtained by using a single spatially-uniform storm event, the stochastic maps generated in this study provide a more comprehensive assessment of flood hazard which enables better informed flood risk management decisions

Economic Growth and Sustainable Development: Evidence from Central and Eastern Europe

There has been a large amount of literature dedicated to the determinants of economic growth recently. However, the majority of the literature so far has been concentrating on single factors and countries as examples. This research considers the effects of carbon dioxide emissions, tourism arrivals, foreign direct investments, trade and domestic support on economic growth in Central and Eastern Europe. The paper uses panel data econometrics between 1995 and 2014 to perform its calculations. Results suggest a positive relationship between tourism arrivals, foreign direct investment, trade, domestic support and economic growth, while CO2 emissions were found to be negatively related to economic growth in the region. Policy and decision makers in the region might find our results useful when thinking about drivers of economic growth. Keywords: Tourism demand, foreign direct investment, carbon dioxide emissions, economic growth, panel data. JEL Classifications: O13, F64, Z32

Optical study of strained double Ge/Si quantum dot layers

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The Impact of Immigration on Portuguese Intra-Industry Trade

This paper investigates the relationship between intra-industry trade (IIT) and immigration flows using a gravity model for the period 2000-2010 between Portugal and European Union’s Member States (EU-27). The present study uses the methodology of Kandogan (2003) for separating IIT into its components horizontal (HIIT) and vertical intra-industry trade (VIIT). Using a panel data approach, our study find that immigration has a positive influence on Portuguese intra-industry trade. These results indicate that the immigration can reduce transaction costs between home and host country. We also consider in econometric model, the economic dimension which appears to exercise a positive effect on IIT. Our results confirm the hypothesis that there is a negative effect of transportation costs on trade

Lathyrus research in Portugal

Lathyrus spp. in Portugal are nowadays underutilized crops. The main species grown are L. sativus (grass pea) for food and L. cicera (chickling vetch) for feed.Peer reviewe