Structural transformations of the economy in the Pacific Region of Russia and efficiency trends

Pacific Russia is viewed as an aqua-territorial macro-region that encompasses the Far Eastern Federal District and the adjacent water area within the 200-mile maritime economic zone. The macro-region has a wealth of natural resources at land and on sea, opportunities for the use of sea transport to link Russia and Europe with the countries of Asia-Pacific Region. Pacific Russia is divided into 2 latitudinal zones — the northern zone and southern zone, which include the territories of northern and southern constituents of the Russian Far Eastern Federal District. The combinations of activities by constituent entities and latitudinal zones are considered as the territorial structures of the economy. This article reveals the differences in socio-economic capacity and development level of these latitudinal zones. The authors have assessed the structural transformations in the economy of latitudinal zones in 2004–2013 by taking into account the changes of similar activities in the constituent entities and their ratios measured as a share of value added. This allowed to identify the transformations of territorial economic structures in the latitudinal zones. Over this period, the greatest changes of economic structures occurred in the northern zone. In the southern zone, the structural transformations of the economy were smaller, except for the Sakhalin region. In all latitudinal zones, there was a decrease in the share of manufacturing industries and the increase in the share of extractive industries. The article compares the generalized assessment of changes in the social and economic efficiency (by the growth of population income, labor productivity, and profits) with the structural changes in the economy of the constituent entities of Pacific Russia. The authors note that an important premise for building a sufficiently sustainable system of interregional division of labor in Pacific Russia is the location of extractive industries and initial stages of the manufacturing industry activities in the northern zone, while the major manufacturing industries and interregional transport and logistics services are located in the southern zone. This article is intended for experts and students interested in the development problems of Russia’s eastern regions.The article has been prepared with the support of the Russian Science Foundation Grant “Factors, mechanisms and types of structural transformation and modernization of territorial socio-economic systems in Pacific Russia” (№ 14–18–03185)

Spatial Differentiation of the Economic Structure of the Russian Regions of the Arctic Zone

The Regions located in the Arctic zone of the Russian Federation implement an important function in the development of an export potential of the country. The richest nature-resource potential of the land and the sea should be considered as the favorable factors of manufacture development in the Arctic zone. The negative factors constraining the development of the Arctic zone are as follows: severe nature-climatic conditions; considerable remoteness of the region from the subjects of the Russian Federation being socially and economically more developed; weak economic (including infrastructural) mastering of this territory; a low demographic potential of the population. The goal of the studies is to reveal the existing spatial differentiation of the economic activities in the northern latitude areas of the country. The authors have compiled several diagrams and maps to estimate the differences in the branch structure of gross value added of the subjects of the Arctic zone of Russia. Besides that, a variance of the areas’ shares in comparison with the average value of the Russian Federation as a whole has been estimated. The analysis of the features of spatial differentiation of the economic activities of the Arctic regions allows us to determine the certain tendencies of the development of economic structures for the future. The article is intended for those experts and students who are interested in the problems of the development of the northern regions of the Russian Federation.The research was supported by the Program for Fundamental Studies Support of the Presidium of the RAS (No. 44 P) “Exploratory Fundamental Research in Aimed at the Development of the Arctic zone of the Russian Federation”

Properties of Type II Plateau Supernova SNLS-04D2dc: Multicolor Light Curves of Shock Breakout and Plateau

Shock breakout is the brightest radiative phenomenon in a Type II supernova (SN). Although it was predicted to be bright, the direct observation is difficult due to the short duration and X-ray/ultraviolet-peaked spectra. First entire observations of the shock breakouts of Type II Plateau SNe (SNe IIP) were reported in 2008 by ultraviolet and optical observations by the {\it GALEX} satellite and supernova legacy survey (SNLS), named SNLS-04D2dc and SNLS-06D1jd. We present multicolor light curves of a SN IIP, including the shock breakout and plateau, calculated with a multigroup radiation hydrodynamical code {\sc STELLA} and an evolutionary progenitor model. The synthetic multicolor light curves reproduce well the observations of SNLS-04D2dc. This is the first study to reproduce the ultraviolet light curve of the shock breakout and the optical light curve of the plateau consistently. We conclude that SNLS-04D2dc is the explosion with a canonical explosion energy $1.2\times10^{51}$ ergs and that its progenitor is a star with a zero-age main-sequence mass $20M_\odot$ and a presupernova radius $800R_\odot$. The model demonstrates that the peak apparent $B$-band magnitude of the shock breakout would be $m_{\rm B}\sim26.4$ mag if a SN being identical to SNLS-04D2dc occurs at a redshift $z=1$, which can be reached by 8m-class telescopes. The result evidences that the shock breakout has a great potential to detect SNe IIP at z\gsim1.Comment: 5 pages, 5 figures. Accepted for publication in the Astrophysical Journal Letter

Light Curve Models of Supernovae and X-ray spectra of Supernova Remnants

We compare parameters of well-observed type II SN1999em derived by M.Hamuy and D.Nadyozhin based on Litvinova-Nadyozhin (1985) analytic fits with those found from the simulations with our radiative hydro code Stella. The difference of SN parameters is quite large for the long distance scale. The same code applied to models of SN1993J allows us to estimate systematic errors of extracting foreground extinction toward SN1993J suggested by Clocchiatti et al. (1995). A new implicit two-temperature hydro code code Supremna is introduced which self-consistently takes into account the kinetics of ionization, electron thermal conduction, and radiative losses for predicting X-ray spectra of young supernova remnants such as Tycho and Kepler.Comment: 7 pages, 10 figures, Supernovae as Cosmological Lighthouses, Padua, June 16- 19, 2004, eds. M.Turatto et al., ASP Conference Serie

Impurity effect on low-temperature polarisation of the charge-density-waves in o-TaS3_3

The temperature dependence of the low-temperature dielectric response is studied in o-TaS$_3$ samples doped by Nb, Se, and Ni and for nominally pure ones. It is found, that the low-temperature dielectric constant depends anomalously on doping and is higher for doped crystals, whereas the temperature dependence of the characteristic time of all samples follows the activation law with nearly the same activation energy $\sim 400$ K (T>20 K). The observed behaviour is inconsistent with all available explanations of the low-temperature dielectric anomaly.Comment: RevTex, 12 pages, epsf, 2 postscript Figures. Accepted for publication in Physics Letters

Early light curves for Type Ia supernova explosion models

Upcoming high-cadence transient survey programmes will produce a wealth of observational data for Type Ia supernovae. These data sets will contain numerous events detected very early in their evolution, shortly after explosion. Here, we present synthetic light curves, calculated with the radiation hydrodynamical approach Stella for a number of different explosion models, specifically focusing on these first few days after explosion. We show that overall the early light curve evolution is similar for most of the investigated models. Characteristic imprints are induced by radioactive material located close to the surface. However, these are very similar to the signatures expected from ejecta-CSM or ejecta-companion interaction. Apart from the pure deflagration explosion models, none of our synthetic light curves exhibit the commonly assumed power-law rise. We demonstrate that this can lead to substantial errors in the determination of the time of explosion. In summary, we illustrate with our calculations that even with very early data an identification of specific explosion scenarios is challenging, if only photometric observations are available.Comment: 15 pages, 14 figures, 3 tables, accepted for publication in MNRA