The Economic Surge

Global Edge ◽  
2018 ◽  
pp. 64-82
Author(s):  
Alejandro Portes ◽  
Ariel C. Armony ◽  
Alejandro Portes ◽  
Ariel C. Armony
Keyword(s):  
Technological Innovation ◽  
Regional Economy ◽  
High Tech ◽  
Dade County ◽  
Gross Regional Product ◽  
Real Estate Finance ◽  
Food Services ◽  
Regional Product ◽  
The City ◽  
The U.S

This chapter traces Miami's economic development. According to the U.S. Bureau of Economic Analysis, the Miami-Dade County gross regional product in 2012 was $124 billion, having increased from $40.4 billion in 1982 and $50.9 billion in 1992. The motors of the regional economy are wholesale trade, transportation, real estate, finance and insurance, and health care. Together, these sectors accounted for almost half (48.3 percent) of the regional economy by the second decade of this century. By contrast, the accommodation and food services industry, traditionally associated with tourism, represented just 6 percent of the metropolitan economy. An emerging high-tech sector offers promise of transforming the city into a center of technological innovation.

FEATURES OF INDUSTRY-SPECIFIC TAXATION IN THE CHUVASH REPUBLIC

2020 ◽  
pp. 7-14
Author(s):  
Tatyana Yu. Vasileva
Keyword(s):  
Russian Federation ◽  
Economic Activity ◽  
Regional Economy ◽  
Tax Burden ◽  
Gross Regional Product ◽  
Sectoral Structure ◽  
Chuvash Republic ◽  
The Russian Federation ◽  
Tax Payments ◽  
Regional Product

The question of balanced redistribution of tax revenues generated in the territory of a subject of the Russian Federation is becoming more urgent. Their value depends largely on the tax burden on the regional economy, which in turn is determined not only by the system of taxes and fees currently in force, but by the sectoral structure of the economy as well. It is against this background that the peculiarities of sectoral taxation are studied on the example of such a subsidized subject of the Russian Federation as the Chuvash Republic, which is the purpose of the study. Such research methods as analytical, comparative methods of study, the grouping method, graphic images are applied. The dynamics and structure of tax revenues and gross regional product based on types of economic activity are examined and compared. It is revealed that the first place in terms of the share in the gross regional product in the Chuvash Republic is taken by manufacturing, the second place falls on trade, the third – to agriculture. At the same time in 2018–2019, manufacturing enterprises provided 47% of all tax payments of the Chuvash Republic, the second most important was trade activity (12.7% of all payments in 2019), construction accounted for 7.3% of all tax payments. Due to the fact that the tax burden on the regional economy is a criterion for assessing the impact of taxation on the socio-economic development of the region taking into account the regional tax policy and its sectoral structure, the authors present calculation of the level of actual tax burden as the ratio of mobilized tax payments to gross regional product by major types of economic activities in the Chuvash Republic. As the calculations showed, activities such as manufacturing, mining and construction bear a significant tax burden. Agriculture provided only 0.4% of received tax payments in general for Chuvashia for all activities and carries the lowest tax burden due to the peculiarities of taxation in this industry. Thus, the tax burden is extremely unevenly distributed by the types of economic activity.

scholarly journals Energy safety of the region on the example of the city of Sevastopol

2021 ◽  
Vol 270 ◽  
pp. 01033
Author(s):  
Elena Piskun ◽  
Vladimir Khokhlov ◽  
Lidiya Guryanova
Keyword(s):  
Energy Security ◽  
Quantitative Assessment ◽  
Statistical Data ◽  
Economic Security ◽  
Energy Resources ◽  
Gross Regional Product ◽  
Regional Energy ◽  
Regional Product ◽  
The City ◽  
Intensive Development

Energy safety problems arise and require solutions at the macro and meso levels. Energy security contributes to the extensive and intensive development of industry and services, the creation of comfortable living conditions for the population of the region. At the same time, there is a problem of quantitative assessment of the energy security of the region. The purpose of this study is to find an indicator reflecting the state of regional energy security and its impact on the economy. The proposed methodology makes it possible to determine: the supply of fuel and energy resources, taking into account the availability of the resource and the level of its consumption; the level of energy security based on changes in the provision of energy resources, linked to fluctuations in the gross regional product. According to the studies carried out according to the developed methodology and based on the statistical data of the city of Sevastopol, the level of energy security of the region is positive, despite the negative values of the provision of energy resources (except for 2020). At the same time, the gross regional product shows growth. It can be assumed that subsequent periods of the city’s functioning will be characterized by economic growth. Further research by the authors will be aimed at predicting both the energy and economic security of the region.

scholarly journals Foreign Direct Investment in Volgograd Region: Distribution and Role in the Economy

2020 ◽  
pp. 212-222
Author(s):  
Inna Kudryashova ◽  
Marina Pleshakova ◽  
Inna Ryabova
Keyword(s):  
Foreign Direct Investment ◽  
Correlation Analysis ◽  
Direct Investment ◽  
Regional Economy ◽  
Labour Productivity ◽  
Economic Indicators ◽  
Gross Regional Product ◽  
Debt Capital ◽  
Volgograd Region ◽  
Regional Product

Foreign direct investment (FDI) has played a key role in the efforts to achieve a sustainable economic growth and high social and economic indicators in many countries and regions of the world. The paper focuses on the analysis of the role of foreign direct investment in the economy of Volgograd region. The author uses the comparative analysis, historical and statistical methods, and correlation analysis. The analysis of the indicators of 2011–2019 shows a small share of foreign direct investment in the gross regional product in Volgograd region in comparison with the Russian Federation, and insufficient provision of regional economy with labour resources. The comparison shows a discrepancy between the real needs and sectoral distribution of foreign direct investment in the regional economy. The research on the country and type composition of FDI in Volgograd region reveals some positive trends. The share of investments in the form of capital in comparison with the share of debt capital has increased; the share of off-shore foreign direct investment has decreased. The correlation analysis reveals a moderate or weak relationship between foreign direct investment and key economic indicators of Volgograd region, i.e. gross regional product, employment rate, average monthly income of the population, depreciation of fixed assets and labour productivity. The results show the need to develop special measures to maximize benefits from the cooperation of regional businesses and foreign investors in Volgograd region.

scholarly journals Managing the Gross Regional Product Structure in the Territorial Subjects of the Southern Federal District

2018 ◽  
Vol 8 (2) ◽  
pp. 18-29
Author(s):  
V. V. Gamukin
Keyword(s):  
Regional Economy ◽  
High Sensitivity ◽  
Federal District ◽  
Gross Regional Product ◽  
Index Method ◽  
Level Of Economic Development ◽  
Federal Districts ◽  
Structure Index ◽  
Regional Product ◽  
The Impact

The condition of national economy is substantially determined by the level of economic development of certain regions in the country. Adaptive capability of separate regional economy of external and internal risk damping depends on features of its structure which forms inertially under the impact of managerial influence from the authorities depending on three main managerial objectives of forming the structure of regional economy: bringing the structure of regional economy to a uniform state, individualization of this structure or strategy assuming integration of regions with the differing structure to macroregions. In the article the hypothesis of the assessment possibility of managerial impact by means of the indicators characterizing rapprochement or a discrepancy of the gross regional product (GRP) structure within one federal district is considered. The research of the structure of the given indicator at the subjects of the Southern Federal District for the period 2005–2015 is conducted using an index method, including calculation of the Szalai index and the index of structure offered by the author. It did not reveal a significant effect on change of the structure of GRP subjects in the analysed period. It provides with the possibility to speak about weakness or lack of purposeful managerial impact on this indicator from the district level of the power. In the federal district obvious tendencies to more balanced participation of regions in creation of total amount of GRP are not revealed. Due to the universality and high sensitivity of the received results, the formulated algorithm of calculation of the structure index, is acceptable for convergence determination of the structure of regional economies on the basis of the GRP structure indicator and can be applied in other federal districts of Russia. 

scholarly journals The hospitality industry development factors (case of St. Petersburg)

2021 ◽  
Vol 244 ◽  
pp. 10038
Author(s):  
Oksana Pirogova ◽  
Sergey Shanygin ◽  
Tatiana Lavrova ◽  
Vladimir Plotnikov
Keyword(s):  
Regression Analysis ◽  
Regression Models ◽  
Hospitality Industry ◽  
Gross Regional Product ◽  
Demand And Supply ◽  
Hotel Room ◽  
Correlation And Regression Analysis ◽  
Regional Product ◽  
The City ◽  
Tourist Flow

The hospitality industry is the unity of all cooperating organizations, each of which performs certain functions aimed at meeting the needs of consumers. The purpose of the article is to review the hotel market of St. Petersburg in the pre-pandemic period. During the research, methods of system and economic analysis, statistical structural and dynamic analysis, correlation and regression analysis were used. To achieve this goal, the characteristics and lists of services of hotels of the main categories are structured. It analyses the key market indicators, such as occupancy and hotel room growth, the distribution of room stock by category, the ratio of tariffs for rooms in hotels of different categories, as well as tourist flow in the context of domestic and foreign citizens. The distribution of domestic and foreign tourists by districts of the city is considered, preferences are revealed. The analysis of the dynamics of changes in the main parameters of the market, including specific indicators, is carried out, demand and supply are compared. It is established that hotels in recent years have carried out activities to attract additional tourists. It is concluded that hotels of different categories did not have time to adapt to the increase in the number of tourists. The characteristics of the market that presumably influence the value of the Gross regional Product of the city are identified, and regression models are compiled. Assumptions are made about the trends in the development of the hotel market in St. Petersburg.

scholarly journals Analysis of the dynamics and trends of the Voronezh region GRP changes on the basis of the first order autoregressive model

2018 ◽  
Vol 80 (3) ◽  
pp. 382-385
Author(s):  
N. V. Slinkova
Keyword(s):  
Autoregressive Model ◽  
Regional Economy ◽  
Mutual Influence ◽  
Gross Regional Product ◽  
First Order ◽  
Voronezh Region ◽  
Regional Product ◽  
Long Term Impact ◽  
Investment In Fixed Assets

The article considers the possibilities of using the first-order autoregressive model for analyzing the dynamics and forecasting of the main indicator of the level of development of the regional economy - gross regional product (GRP). The influence of the investment factor is described, the existing approaches to this problem are considered on the example of several publications of recent years. The specifics of the mutual influence of the gross regional product and investment volumes are analyzed, the importance of the long-term impact of investments on the dynamics of the region's economic indicators is noted. The properties of autoregressive models are described, the possibilities of using the first-order autoregressive model for analyzing the dynamics and forecasting of the gross regional product of the Voronezh region are considered, taking into account the factor of investment in fixed assets. Based on the statistical data for 2000-2016. autoregression models are constructed using the instrumental variables method to overcome the multicollinearity inherent in such models. Various approaches to constructing an autoregressive model are analyzed, and conclusions are drawn about the quality of the models obtained. The proposed model of autoregression is characterized by high quality and adequacy indicators, with its help a point and interval GRP is compiled. On the basis of the obtained model, the values of short-term and long-term investment multipliers are determined. The received values of multipliers once again confirm the importance of investment policy for the regional economy and allow quantifying the effect of invested funds. The use of this model can be useful both within the descriptive and normative approach in modeling the regional economy.

scholarly journals Innovation in Russian regions with different level of gross regional product per capita

2016 ◽  
Vol 4 (3) ◽  
pp. 348-362
Author(s):  
Николай Петухов ◽  
Nikolay Petukhov
Keyword(s):  
Technological Innovation ◽  
Innovation Activity ◽  
Gross Regional Product ◽  
Russian Regions ◽  
Wholesale Trade ◽  
Innovative Products ◽  
The Russian Federation ◽  
Per Capita ◽  
Regional Product ◽  
The Cost

The article is devoted to the production of innovative products of the enterprises in the regions of the Russian Federation. The value of innovation activity of enterprises, the cost of technological innovation, the volume of innovative products, its share in the retail and wholesale trade in the Russian regions with different values of the gross regional product per capita in 2000, 2005, 2010 and 2013 is compared.

scholarly journals Modeling the Dynamics of Gross Regional Product

2021 ◽  
Vol 21 (2) ◽  
pp. 104-113
Author(s):  
A.V. Kutyshkin ◽  
Keyword(s):  
Regional Economy ◽  
Production Functions ◽  
Time Interval ◽  
Gross Regional Product ◽  
Short Term ◽  
Constant Elasticity ◽  
Capital Costs ◽  
Sector Model ◽  
Regional Product ◽  
Cost Factors

The gross regional product is a key macroeconomic indicator that characterizes the development of the regional socio-economic system. Modeling the dynamics of this indicator, as the final product of the economic system, also involves the development of models for changing the values of aggregated cost factors associated with its production. One of the directions of using the developed models is the formation of short-term forecasts of the direct values of the gross regional product and the factors of labor and capital costs of the regional economy that determine them. Aim. Modeling the dynamics of the value of the gross product of the regional economy of the Yamal-Nenets Autonomous Okrug on the basis of the one-sector model of R. Solow for the formation of short-term forecasts of the value of this indicator. Materials and methods. The one-sector model of economic growth by R. Solow is used, in which the functioning of the regional economy is described by two-factor neoclassical functions with a constant elasticity of substitution of factors of production costs. Production functions are identified using retrospective sequences of indices of gross regional product and cost factors of the regional economy. Short-term forecasting of the gross product of the regional economy is carried out using a production function that provides a better approximation of retrospective data of the time interval of the previous forecasting year. Results. Neoclassical two-factor production functions with constant elasticity of substitution of cost factors of the regional economy of the Yamalo-Nenets Autonomous Okrug (YNAO) for the period from 2001 to 2018 were constructed.The values of the gross regional product and the average annual number of employed in the Yamal-Nenets economy were calculated for 2017–2019, which were compared with the corresponding data published by the Federal State Statistics Service of the Russian Federation, and the forecast values published by the regional administration. Conclusion. It has been established that the used production functions give acceptable estimates of the approximation of the actual values of the gross regional product of the considered regional economy in the considered time interval. Modification of the models for changing the values of cost factors made it possible to increase the accuracy of short-term forecasts, both directly of the values of the gross regional product and the values of factors of labor and capital costs.

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