Comparative assessment of the influence of a technological factor on economic growth

Kheyfets, Boris; Chernova, Veronika Yu.

doi:10.15587/1729-4061.2021.225526

Cited by 5 publications

(5 citation statements)

References 30 publications

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“…The proposed methodology allows regional authorities to make a scientifically grounded choice of priority and promising export products, to identify areas of scientific and production cooperation of industrial enterprises and to form institutional conditions for enhancing export activities in regional economy [32][33][34].…”

Section: Discussionmentioning

confidence: 99%

Formation of Export Potential of Regional Economy

Vasilyeva¹,

Филимоненко²,

Лихачева³

2022

Proceedings of the International Scientific and Practical Conference Strategy of Development of Regional Ecosystems “Education-

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Change in the structure of global commodity markets' demand for high-tech science-intensive digital technologies influence the existing structure of economies of raw material regions and form new requirements for the product portfolio of exports. One of the main trends of export regional potential is becoming the expansion of assortment due to high-tech products with a high share of added value in the economy of a region. However, the existing methodological approaches to the assessment of external demand of a region are not focused on achieving structural transformations of regional economy; the existing mechanisms of state support are mainly aimed at the interests of local businesses in the short-term period of development. The purpose of the article is to propose methods for the formation of export potential of regional economy on the basis of development of high-tech fields, new sectors and markets. A system-structure approach to research, which was developed by the authors, includes clarifying the concept of export potential, identifying the stages of its formation and development, determining the performance metrics of choosing marketable products to form a regional export potential, highlighting the direction of the development of the latter. Based on the comparative analysis of approaches to the assessment and development of a regional export potential, the authors formulated a basic premise to model its structure and level assessment: the requirement to distinguish between ways of revealing and assessing priority and long-range types of export products. A step-by-step methodology to form a regional export potential, which is aimed at selecting both priority types of existing export products and new types of promising high-tech products for the growth in regional exports on the global market, is proposed. As methods for selecting priority types of export products the authors used a structural dynamic analysis, a grouping method based on the XYZ-analysis and variation coefficients, a positioning method. To substantiate the choice of new types of promising products for the growth in regional exports on the global market, the following methods were used: intersection of sets, evaluation of the potential of global commodity markets and of a potential share of commodity position in regional exports, evaluation of comparative advantage of countries based on the Balassa index. Approbation of methods for forming a regional export potential is presented using the example of the Krasnoyarsk Territory.

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Section: Discussionmentioning

confidence: 99%

Formation of Export Potential of Regional Economy

Vasilyeva¹,

Филимоненко²,

Лихачева³

2022

Proceedings of the International Scientific and Practical Conference Strategy of Development of Regional Ecosystems “Education-

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“…Weight ratios (ω i ) are calculated based on statistics for the period under review. According to the methodology, it is recommended to use the share of key sectors of GDP to calculate weights [31].…”

Section: Choosing the Optimal Algorithm For Calculating The Composite...mentioning

confidence: 99%

Investigation of the relationship between the dynamics of GDP and economic sentiment index

Huseynova

Aliyeva

Rzayeva

2022

EEJET

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The paper develops and presents an appropriate model toolkit that allows assessing the relationship between the calculated indices of economic sentiment and confidence for the main types of economic activity. The aim of the study is to experimentally substantiate the relevance of data on the opinions of technological economic agents and assess the value of this information for the statistical description and analysis of macroeconomic trends, including economic cycles and unforeseen and prolonged crises. The main hypothesis about the cyclical sensitivity of composite indices, in particular the index of economic sentiment in relation to the dynamics of the physical volume of GDP, is tested. The authors calculate a composite indicator of aggregate economic sentiment and, based on a consistent analysis of the relationship between the index of physical volume of GDP and the indicator of economic sentiment, identify aggregate empirical patterns and features of the cyclical development of technological enterprises. Accordingly, the turning points of the business cycle are discussed and the leading nature of the proposed index of economic sentiment is affirmed. The importance of the composite indicators in the economic analysis of entrepreneurial behavior in the implementation of technological innovations is shown. The nature of the calculated Economic Sentiment Index was established, and its predictive capabilities for monthly and annual real GDP growth rates using autoregression and error correction models were investigated. The stages of calculating and setting indices with the application of the DEMETRA+ statistical package were implemented.

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“…In addition, the country has set ambitious goals to reduce emissions and is currently on track to achieve them. [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…In fact, there are characteristics and patterns of behavior between economies that can limit this relationship. A prominent example is Germany [7,8,46], which belongs to category 4. Despite its economic growth and high pollution rates, this country is in the process of improving by keeping its polluting emissions under control and reducing them.…”

mentioning

confidence: 99%

Fuzzy classification of countries according to their sustainable economic potential: application of the Solow-Swan and Green Solow models.

Quintero,

Gomez,

Gaitan

2023

Preprint

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The pollution and the progressive depletion of resources are global problems that affect all humanity, but their approach is affected by the different sociopolitical and economic conditions present in the different regions. Thus, the objective of this work is to implement and analyze a methodological structure based on the Solow/Green-Solow models that facilitates the identification and organization of countries according to their economic capacity and the polluting emissions associated with their development, with the purpose of promoting the application of more appropriate and effective solutions, considering the diversity of challenges faced by different economies. To achieve this objective, a preliminary guide is proposed to compare and group viable strategies in different territories, evaluating them according to the parameters established by the Solow-Swan and Green Solow models. For the recognition of the parameters, the Levenberg-Marquardt algorithm has been used, the result of which is classified using the fuzzy artificial intelligence method known as c-means, which provides a category for the different countries. The key findings of this article highlight how the particularities of countries are influenced not only by their geographic location, but also by their level of income and the calculated elasticity related to product exports, together with their ecological potential. It also challenges the widely held belief that enrichment is linked to increased carbon emissions.

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Comparative assessment of the influence of a technological factor on economic growth

Cited by 5 publications

References 30 publications

Formation of Export Potential of Regional Economy

Formation of Export Potential of Regional Economy

Investigation of the relationship between the dynamics of GDP and economic sentiment index

Fuzzy classification of countries according to their sustainable economic potential: application of the Solow-Swan and Green Solow models.

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