The Problem of Productivity Factors in the Economy of Modern Russia

Author(s):  
Елена Басовская ◽  
Elena Basovskaya ◽  
Леонид Басовский ◽  
Leonid Basovskiy

The econometric models constructed in the work allowed us to establish the main production factors that streamline the productivity level — per capita GRP in modern Russia. The most significant positive impact on productivity is exerted by capital, which estimated by the labor funds. The level of education of the employed population has a significant positive impact on productivity. In most regions of the country, new technologies, embodied in new fixed assets, have a positive impact on productivity. In most regions of the country, the number of officials has a significant negative impact on productivity.

Südosteuropa ◽  
2020 ◽  
Vol 68 (4) ◽  
pp. 505-529
Author(s):  
Kujtim Zylfijaj ◽  
Dimitar Nikoloski ◽  
Nadine Tournois

AbstractThe research presented here investigates the impact of the business environment on the formalization of informal firms, using firm-level data for 243 informal firms in Kosovo. The findings indicate that business-environment variables such as limited access to financing, the cost of financing, the unavailability of subsidies, tax rates, and corruption have a significant negative impact on the formalization of informal firms. In addition, firm-level characteristics analysis suggests that the age of the firm also exercises a significant negative impact, whereas sales volume exerts a significant positive impact on the formalization of informal firms. These findings have important policy implications and suggest that the abolition of barriers preventing access to financing, as well as tax reforms and a consistent struggle against corruption may have a positive influence on the formalization of informal firms. On the other hand, firm owners should consider formalization to be a means to help them have greater opportunities for survival and growth.


Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1341
Author(s):  
Tinggui Chen ◽  
Lijuan Peng ◽  
Jianjun Yang ◽  
Guodong Cong

With highly developed social media, English learning Applications have become a new type of mobile learning resources, and online comments posted by users after using them have not only become an important source of intellectual competition for enterprises, but can also help understand customers’ requirements, thereby improving product functionalities and service quality, and solve the pain points of product iteration and innovation. Based on this, this paper crawled the online user comments of three typical APPs (BaiCiZhan, MoMoBeiDanCi and BuBeiDanCi), through emotion analysis and hotspot mining technology, to obtain user requirements and then the K-means clustering method was used to analyze user requirements. Finally, quantile regression is used to find out which user needs have an impact on the downloads of English vocabulary APPs. The results show that: (1) Positive comments have a more significant impact on users’ downloads behavior than negative online comments. (2) English vocabulary APPs with higher downloads, both the 5-star user ratings and the increase of emotional requirement have a negative effect on the increase in APP downloads, while the enterprise’s service requirement improvement has a positive effect on the increase of APP downloads. (3) Regarding English vocabulary APPs with average or high downloads, improving the adaptability and Appearance requirements have significant negative impact on downloads. (4) The functional requirements to improve products will have a significant positive impact on the increase in downloads of English vocabulary APPs.


2016 ◽  
Vol 13 (1) ◽  
pp. 45-62 ◽  
Author(s):  
P. Dass ◽  
M. A. Rawlins ◽  
J. S. Kimball ◽  
Y. Kim

Abstract. Terrestrial ecosystems of northern Eurasia are demonstrating an increasing gross primary productivity (GPP), yet few studies have provided definitive attribution for the changes. While prior studies point to increasing temperatures as the principle environmental control, influences from moisture and other factors are less clear. We assess how changes in temperature, precipitation, cloudiness, and forest fires individually contribute to changes in GPP derived from satellite data across northern Eurasia using a light-use- efficiency-based model, for the period 1982–2010. We find that annual satellite-derived GPP is most sensitive to the temperature, precipitation and cloudiness of summer, which is the peak of the growing season and also the period of the year when the GPP trend is maximum. Considering the regional median, the summer temperature explains as much as 37.7 % of the variation in annual GPP, while precipitation and cloudiness explain 20.7 and 19.3 %. Warming over the period analysed, even without a sustained increase in precipitation, led to a significant positive impact on GPP for 61.7 % of the region. However, a significant negative impact on GPP was also found, for 2.4 % of the region, primarily the dryer grasslands in the south-west of the study area. For this region, precipitation positively correlates with GPP, as does cloudiness. This shows that the south-western part of northern Eurasia is relatively more vulnerable to drought than other areas. While our results further advance the notion that air temperature is the dominant environmental control for recent GPP increases across northern Eurasia, the role of precipitation and cloudiness can not be ignored.


Author(s):  
Melinda Orova ◽  
András Reith

AbstractUrban development principles have evolved from sustainability, where the focus was on limiting the negative impact of urban environment, to restorative and regenerative sustainability, where positive impact is needed on global social and ecological systems. This recent paradigm shift requires the development of new tools for practitioners, like design methodologies, new technologies, and assessment methods.To measure the impact of sustainability on the built environment, several building-scale assessment tools exist. The question is how these widespread rating systems support restorative change in the built environment.The main question of the research is answered in three methodological steps. First, the goals of restorative sustainability are summarized from the available extensive literature, including the topics of Place, Energy, Water, Well-being, Carbon, Resources, Equity, Education, and Economics. Then different rating tools (Living Building Challenge, WELL, LEED, BREEAM, DGNB) are analysed how the considered issues and indicators in these rating tools are connected to restorative goals. Then these indicators are assessed how they serve that goal.The result of this study shows the main strengths and gaps in current wide-spread international rating tools regarding their support of restorative sustainability.


2017 ◽  
Vol 5 (2) ◽  
pp. 43-45 ◽  
Author(s):  
Басовская ◽  
Elena Basovskaya ◽  
Басовский ◽  
Leonid Basovskiy

Econometric impact assessments of new technologies and human capital on a contribution of new technological ways to per capita GDP in regions of Northwest Federal District of Russia are received. Coefficients of elasticity of a contribution of new ways to per capita GDP on use of the new technologies estimated by armament the work equity new fixed assets and for use of the human capital estimated by a share of busy workers with the higher education are estimated. The use of new technologies is the most effective in St. Petersburg, in the Murmansk, Leningrad regions and in the Komi Republic. Efficiency use of new technologies in the Pskov region is the lowest. The human capital is most effectively in the Komi Republic, the Murmansk and Leningrad regions. Efficiency use of a human capital in the Pskov region is the lowest.


2021 ◽  
Vol 11 (2) ◽  
pp. 168
Author(s):  
Li Sun ◽  
Ning Cheng

Improving the credit system is a new requirement of the Ministry of Education of China. The academic advisor system is an essential part of the credit system management and plays an important role in the planning and guidance of students’ academic career. Therefore, this paper studies the influence of students’ perception of academic advisor support on academic motivation. It surveyed 455 undergraduates from universities and colleges in Henan Province that implemented the academic advisor system, and found that students have a high degree of academic motivation. The main results of the research are as follows: 1) Freshmen’s perception of academic advisor support is higher than that of senior students; 2) Perceived autonomy support and engagement support have a significantly positive impact on intrinsic academic motivation; 3) Perceived opportunity support has a significantly positive impact on extrinsic academic motivation; 4) Perceived relationships support has a significant negative impact on amotivation. This research can help higher education workers to value student autonomy in learning, actively communicate with students, and provide resource support for the realization of student goals.


2019 ◽  
Vol 69 (4) ◽  
pp. 337-344
Author(s):  
Li Huang ◽  
Ke Chen ◽  
Mi Zhou ◽  
Brendan Nuse

Abstract Using export panel data for China and 24 bamboo and rattan trading partners from 2007 to 2017, this study simulates the export trade of Chinese bamboo and rattan products using a gravity model. Our results showed that economic size has a significant positive impact on the bilateral trade of bamboo and rattan products, while absolute distance between two major economic centers and population size have a significant negative impact. Furthermore, relevant Asia-Pacific Economic Cooperation (APEC) trade arrangements have an impact on bamboo and rattan product trade flows from China. Meanwhile, trade of bamboo and rattan between China and APEC countries such as South Korea, Canada, Russia, and Thailand shows much room for growth.


2019 ◽  
pp. 838-865
Author(s):  
Maniklal Adhikary ◽  
Dyuti Sinha

This chapter aims at assessing the impact of governance on the country's economic and human well-being in the selected South Asian countries. The study finds that for the countries-India, Pakistan, Bangladesh, Sri Lanka and Nepal, over the years 1990-2012, the growing rate of GDP per capita (PPP) and growing employment to population ratio has a significant negative impact on the Global Hunger Index as expected. Also the panel regression run for the eight SAARC countries over the period 2007-13 to find out the impact of each of the six governance indicators on the per capita GDP showed that political stability and absence of violence, government effectiveness and regulatory quality have very strong and significant role in augmenting the economic output besides the remaining indicators. The trends for each of the indicators across countries over time show that except Bhutan, none of the countries are exhibiting good performance of the governance indicators.


Author(s):  
Леонид Басовский ◽  
Leonid Basovskiy ◽  
Елена Басовская ◽  
Elena Basovskaya

The updated econometric estimates of the influence of new technologies and human capital on the contribution of new technological structures to the per capita GDP in the regions of the Central and North-Western federal districts of Russia are obtained. The article estimates coefficients of elasticity of the contribution of new ways to GDP per capita by the use of the new technologies estimated by capital-labor ratio of work by new fixed assets and by the use of the human capital estimated by a share of busy workers with the higher education. In case of big sizes of coefficients of elasticity of the contribution of new ways to GDP per capita on the use of the new technologies estimated by capital-labor ratio of labor by new fixed assets it is reasonable to increase the investments into fixed assets of the region. In case of big sizes of coefficients of elasticity of the contribution of new ways to GDP per capita on the use of the human capital estimated by a share of busy workers with the higher education it is reasonable to increase, first of all, a share of workers with the highest education.


2021 ◽  
Vol 10 (2) ◽  
pp. 96-110
Author(s):  
Rana-Al-Mosharrafa ◽  
Md. Shahidul Islam

Bank profitability plays a significant role in the growth and development of an emerging economy. The purpose of the study was to examine the impact of bank characteristics, industry concentration and macroeconomics variables on commercial bank profitability in Bangladesh from 2007-2017. Bank profitability is proxied by return on assets (ROA), return on equity (ROE) and net interest margin (NIM). The study is based on secondary data and Hausman test has been performed using STATA software in favor of fixed effect modeling. Panel regressions shows that cost efficiency has significant negative impact on ROA and NIM. The positive impact of loan to deposit ratio with ROA suggests that efficient fund management including investment and assessed expenditure should be emphasized. Bank size has significant negative impact on all the measures of profitability, which indicates that monopolistic competition will reduce banking profit. Credit risk has significant positive impacts on ROE. Industry concentration measured by CR3 is positively related with ROE and has significant negative relation with bank profitability (ROA). Among macroeconomic variables inflation has significant positive and bank spread has significant negative impact on ROE. The coefficients of all the macroeconomic variables have been found to be significantly related to bank profitability while measured by NIM. Our study recommends further research with other explanatory variables such as, corporate governance, corporate social responsibility (CSR) and deposit insurance to accelerate the model and construct the econometric model by using structural equation modeling, mediation effect modeling etc.


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