The Nagasaki Regional Economy with a Stochastic Business Indicator : Verifying Stylized Facts in the Nagasaki Economy

2010 ◽  
Vol 40 (3) ◽  
pp. 795-807
Author(s):  
Shinji YOSHIOKA
Keyword(s):  
Regional Economy ◽  
Stylized Facts

Resource Constituent of Russian Regional Economy

2007 ◽  
pp. 116-132 ◽  
Author(s):  
S. Kimelman ◽  
S. Andyushin
Keyword(s):  
Economic Policy ◽  
Economic Development ◽  
Russian Federation ◽  
Regional Economy ◽  
Federal District ◽  
Economic Potential ◽  
Resource Model ◽  
The Social ◽  
Regional Economic Policy ◽  
Far Eastern

The article basing upon estimation of the social and economic potential of Russian Federation subjects shows that the resource model of economic development is suitable for nearly half of them. The advantages of this model are described using the example of the Far Eastern Federal District subjects that could be the proof of the necessity of "resource correction" of regional economic policy in Russia.

Analysis method ofrecruitment needs for the regional economy: Occupational section

2017 ◽  
pp. 142-149 ◽  
Author(s):  
E. Pitukhin ◽  
S. Shabaeva ◽  
I. Stepus ◽  
D. Moroz
Keyword(s):  
Cluster Analysis ◽  
Labor Market ◽  
Comparative Analysis ◽  
Regional Economy ◽  
Dimensional Space ◽  
Analysis Method ◽  
Scalar Form ◽  
Regional Labor Market ◽  
Regional Labor ◽  
Regional Specificity

The paper deals with comparative analysis of occupations in the regional labor market. Occupation is treated as a multi-dimensional space of characte- ristics, whereas a scalar form of a characteristic makes it possible to carry out a comparative analysis of occupations. Using cluster analysis of a pilot region indicators five meaningfully interpretable clusters of occupations were identified, reflecting their regional specificity.

Impact of Logistics Supply in Central China on Regional Economy

2019 ◽  
Vol 5 (1) ◽  
pp. 105-126
Author(s):  
Shao Xin Xin ◽  
◽  
Gao Kuo ◽  
Tae Won Kang
Keyword(s):  
Regional Economy ◽  
Central China

Modeling the co-evolution of economic institutions and the economy of resource producing regions

2020 ◽  
Vol 18 (4) ◽  
pp. 122-131
Author(s):  
Vadim F. Islamutdinov ◽  
Sergey P. Semenov
Keyword(s):  
Economic Growth ◽  
Resource Availability ◽  
Regional Economy ◽  
Cumulative Effect ◽  
Volterra Equations ◽  
Economic Institutions ◽  
Predator Prey Model ◽  
Resource Endowment ◽  
Disincentive Effect ◽  
Good Institution

The purpose of the study is to develop a model for the co-evolution of the regional economy and economic institutions. The research methods used: abstract-logical for the study of theoretical aspects and the experience of modeling co-evolution; and economic-mathematical for the development of own model of coevolution. The results of the study: approaches to modeling the evolution of economic institutions, as well as the co-evolution of the regional economy and economic institutions are considered, strengths and weaknesses of existing approaches to modeling co-evolution are identified, on the basis of the logistic model and Lotka-Volterra equations, an own co-evolution model has been developed, which includes three entities: regional economy, “good” institution and “bad” institution. Three versions of the model have been developed: the co-evolution of the regional economy and the “good” institution, the co-evolution of the regional economy and the “bad institution,” and a variant of the co-evolution of all three entities simultaneously, in which the “good” and “bad” institutions interact according to the “predator-prey” model, and their the cumulative effect determines the development of the regional economy. Numerical experiments have been carried out in the MathLab, which have shown the capabilities of the model to reflect the results of the co-evolution of the economy of a resource-producing region and economic institutions. In the first variant, a “good” institution promotes economic growth in excess of the level determined by resource availability. In the second variant, the “bad” institution has a disincentive effect on the GRP, as a result of which the GRP falls below the level determined by the resource endowment. In the third variant, the interaction of “good” and “bad” institutions still contributes to economic growth above the level determined by resource availability, but causes cyclical fluctuations in the GRP.

Methodological bases and practice of risk management of regional development (part 1)

2020 ◽  
Vol 18 (2) ◽  
pp. 114-126
Author(s):  
Valery V. Karpov ◽  
Anna G. Breusova ◽  
Anna A. Korableva
Keyword(s):  
Risk Management ◽  
Regional Development ◽  
Regional Economy ◽  
Full Range ◽  
Risk Identification ◽  
Territorial Development ◽  
Public Authorities ◽  
Strategic Risk ◽  
Risk Committee ◽  
State Programs

The article is devoted to the theoretical foundations and analysis of the experience of subjects of the Russian Federation in the field of regional development risk management. The article examines the concept of risk, its difference and relationship with the concepts of uncertainty, threat, danger, security and others. It is determined that dangers are constantly present in the regional economy. And risk, as a measurable uncertainty with multiple outcomes, for which the probability of occurrence of a risk event is calculated, is manifested as a result of the occurrence of a hazard. When comparing the concepts of risk and security, this means that the security of the regional economy is manifested in the ability to resist threats and manage risks, and not in the complete absence of dangers. It is revealed that ISO standards distinguish between the concepts of risk management and risk management. For further discussion, risk management is understood as a systematic approach to using the full range of mechanisms available to public authorities to reduce emerging risks and threats to the socio-economic development of the region. Further, the analysis of risk management in the practice of regional management on the example of the Omsk, Novosibirsk and Tyumen regions is carried out. The relevant tools in the activities of government bodies, such as territorial development strategies, state programs and projects, were identified, which allowed us to introduce a classification of risks with the allocation of strategic, tactical risks of territorial development and project management risks, among which there is a strategic level. The analysis of the implemented tools for compliance with the mandatory stages of risk management showed mainly the absence of risk identification, unified requirements for risk accounting and systematic risk management of regional development. Among the assessed regions, the Tyumen region has the best practices in terms of risk management. For a more detailed analysis authors highlighted the key institutional and instrumental elements of risk management such as risk committee, strategic risk map, risk register, action plan for risk management, and defined logical relationships between them.

Aspects of Creative Capital in a Regional Economy with Time Variant Schooling

2015 ◽  
Vol 45 (4) ◽  
pp. 413-418 ◽  
Author(s):  
Amitrajeet A. BATABYAL ◽  
Hamid BELADI
Keyword(s):  
Regional Economy ◽  
Creative Capital
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