scholarly journals Geographical Factor in Regional Development

Author(s):  
Marina Moroshkina

Regional development of Russian regions is characterized by a high level of heterogeneity. Researchers highlight a significant number of factors affecting the level of regional development. Geographical factor is recognized as one of the most important factors. The development of border regions is similar to that of Russian regions. The purpose of the research is to determine the differentiation of border regions and to study the dynamics of its change. The object of the research is border regions united in the system. The process of unification of regions is based on geographical location. The subject of the study is the process of regional differentiation. Methods of assessing the convergence of economic entities are the instrument of researching regional differentiation of border regions. The convergence theorem analyzes the interregional differentiation of border regions and considers the possibility of their convergence. As a result of using convergence approaches based on the definition of convergent processes, the coefficient of variation is calculated. On the basis of the calculated values of the coefficient and its change, the possibility of convergence of border regions is assessed and the process of change of interregional differentiation is analyzed. Another direction, on the basis of which the analysis of regional heterogeneity of border regions is based, is the determination of the differentiation coefficient, which allows to determine the level of the gap between polar groups of regions. The goal set in the study will allow assessing the impact of geographical location on economic development and formulating directions of economic policy. Spatial heterogeneity of border regions defined by means of mathematical tools can be used when writing the Program and the Strategy for Regional Development, within which one of the competitive advantages will be the location of the territory.

Author(s):  
Marina V. Moroshkina

The article analyzes the dynamics of interregional differences in the border regions of Russia and Finland. Border regions have advantages related to their geographical location, which results in a wider range of foreign economic relations with other countries of the world community due to the transport accessibility of the territory. The aim of the research is to provide a better understanding of the geographical location of the area. The aim is to study the economic development of the neighbouring countries' border areas (the economies of Russia and Finland are covered in this article). The object of the research is the border regions of Russia and Finland, and the subject of the research is the level of interregional differentiation of these border areas. The study of interregional differences is carried out when applying the tools used in modeling σ and β-convergence based on the calculation of the coefficient of variation. The indicator for comparative analysis of interregional differentiation of border regions is the dynamics of GRP per capita. In the current study the indicators of regional development of different national economies are considered. Socio-economic indicators in statistical collections are presented in different units of measurement. In order to carry out a comparative analysis of the economic indicators under study, the indicators were compared to a single unit of account. The process of comparing economic indicators was carried out using the dynamics of changes in the average exchange rate of the euro to the ruble. The analysis of σ- and β-convergence carried out as a result of the study has determined different dynamics of regional development, which is characterized by a slow decrease in the interregional differentiation. As a result of this trend, we can talk about the process of convergence of levels of economic development of border regions in the long run.


2021 ◽  
Vol 17 (3) ◽  
pp. 944-955
Author(s):  
Mikhail B. Petrov ◽  
Leonid А. Serkov ◽  
Кonstantin B. Kozhov

As factors affecting interregional interactions play an important role in regional economic development. Thus, developing a methodology for assessing these interactions is becoming urgent. The article proposes a methodological approach to analyse the factors influencing possible interactions between Sverdlovsk oblast and other constituent entities of the Russian Federation in the manufacturing industry. It is hypothesised that the elements of an interregional interaction matrix are proxy variables characterising the degree of this interaction. An economic analysis of relations and production chains between Sverdlovsk oblast and other constituent entitles confirmed this hypothesis. First, based on the spatial distribution of manufacturing output in the examined regions, values of an indicator showing the strength of their mutual influence were determined. Second, the impact of economic, infrastructural and institutional factors on the obtained indicator, characterising the inter action between Sverdlovsk oblast and other regions, was assessed using quantile regression. In this case, such a technique was chosen instead of the classical ordinary least squares (OLS) regression that incorrectly estimates the dependencies between the studied variables. This is expressed in the fact that the regression coefficients de pend on q-quantile of the dependent variable. We have revealed that price levels of the examined regions do not affect their possible interactions with Sverdlovsk oblast. Simultaneously, the dissemination of knowledge acts a driver of interaction between the considered regional manufacturing industries. The research findings can be used to prepare strategies, programmes and schemes for the placement and development of industries, considering the potential of Sverdlovsk oblast and other Russian regions.


2021 ◽  
Vol 14 (1) ◽  
pp. 332
Author(s):  
Mushtaq Ahmad Khan Barakzai ◽  
S.M. Aqil Burney

The objective of this paper is to model and study the impact of high temperature on mortality in Pakistan. For this purpose, we have used mortality and climate data consisting of maximum temperature, variation in monthly temperature, average rainfall, humidity, dewpoint, as well as average air pressure in the country over the period from 2000 to 2019. We have used the Generalized Linear Model with Quasi-Poisson link function to model the number of deaths in the country and to assess the impact of maximum temperature on mortality. We have found that the maximum temperature in the country has a significant impact on mortality. The number of deaths in Pakistan increases as the maximum temperature increases. We found that, as the maximum temperature increase beyond 30 °C, mortality increases significantly. Our results indicate that mortality increases by 27% when the maximum temperature in the country increases from medium category to a very high level. Similarly, the number of deaths in the country increases by 11% when the temperature increases from medium temperature to high level. Furthermore, our study found that when the maximum temperature in the country decreases from a medium level to a low level, the number of deaths in the country decreases by 23%. This study does not consider the impact of other factors on mortality, such as age, medical conditions, gender, geographical location, as well as variability of temperature across the country.


2021 ◽  
Vol 11 (16) ◽  
pp. 7739
Author(s):  
Hekmat AL-Hmadi ◽  
Ridha El Mokni ◽  
Rajesh K. Joshi ◽  
Mohamed L. Ashour ◽  
Saoussen Hammami

Essential oils are generally produced to confer the protection of medicinal plants against several natural enemies. Variations of chemical and physical environmental factors exert significant influences on plant development. They hence may affect the quality and quantity of volatile organic metabolites of interest and, therefore, the economic applications of essential oils. This research focused on the effects of the harvest region on the production and analytes present in Tunisian Pimpinella lutea Desf. Apiaceae that were collected in three different growing environments (North and South Bizerta and Tabarka). Essential oils extracted from a variety of genotypes were analyzed, for the first time, using gas chromatography and mass spectrometry (GC/FID and GC/MS). The determination of the percentage of essential oil components allowed the recognition of three chemotypes: α-trans-Bergamotene quantified at a percentage of 18.1% in North Bizerta (NBEO), muurola-4,10(14)-dien-1-β-ol identified in South Bizerta (10.1%, SBEO) and acora-3,7(14)-dien present in a high level of 29.1% in Tabarka population (TEO). The richness of different populations in sesquiterpenes (60.2–78.1%) suggests that Pimpinella lutea Desf. may be used in different industrial segments.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Z. Cao ◽  
M. Zheng ◽  
Y. Vorobyeva ◽  
C. Song ◽  
N. F. Johnson

Society faces a fundamental global problem of understanding which individuals are currently developing strong support for some extremist entity such as ISIS (Islamic State), even if they never end up doing anything in the real world. The importance of online connectivity in developing intent has been confirmed by recent case studies of already convicted terrorists. Here we use ideas from Complexity to identify dynamical patterns in the online trajectories that individuals take toward developing a high level of extremist support, specifically, for ISIS. Strong memory effects emerge among individuals whose transition is fastest and hence may become “out of the blue” threats in the real world. A generalization of diagrammatic expansion theory helps quantify these characteristics, including the impact of changes in geographical location, and can facilitate prediction of future risks. By quantifying the trajectories that individuals follow on their journey toward expressing high levels of pro-ISIS support—irrespective of whether they then carry out a real-world attack or not—our findings can help move safety debates beyond reliance on static watch-list identifiers such as ethnic background or immigration status and/or postfact interviews with already convicted individuals. Given the broad commonality of social media platforms, our results likely apply quite generally; for example, even on Telegram where (like Twitter) there is no built-in group feature as in our study, individuals tend to collectively build and pass through the so-called super-group accounts.


2021 ◽  
Vol 29 (2) ◽  
pp. 137-148
Author(s):  
Hynek Böhm

Abstract The COVID-19 pandemic brought many changes to social behaviours in Europe. One of its major consequences was the temporary closure of borders, which was introduced as a measure to prevent the uncontrolled pandemic spreading and involved internal Schengen borders. This has had a major impact in the way in which cross-border cooperation has been conducted in Europe, including the Czech-Polish borderland, as it dramatically restrained all flows across borders. In this paper, we evaluate the impact of the pandemic on five roles of cross-border cooperation: 1) as a multi-level governance form; 2) as a regional development tool; 3) as a para-diplomacy form; 4) as a post-conflict reconciliation tool; and 5) as Europe-building. We argue that the impacts of the pandemic complicated regional development and the Europe-building role of cross-border cooperation in the Czech-Polish borderland. The article envisages re-bordering processes also in the Czech-Polish borderland, but with important exceptions in the regions with a high level of cross-border integration, mainly in the Euroregion Těšínské Slezsko/Śląsk Cieszyński. The paper also calls for the elaboration of the guidelines for possible repeated (Schengen) border closures and proposes modifications of the INTERREG microprojects schemes, to keep them attractive also in times of expected cuts in public finances.


Author(s):  
Vinko Lepojević ◽  
Suzana Đukić

In modern business conditions characterized by the requirements for achieving superior profit margins, customer satisfaction and loyalty have become the basic company business priorities. The ability of the company to achieve a high level of customer loyalty, in conditions of intense competition is determined by delivery of superior quality service, but also by creating a positive overall customer experience with the company. Such a situation implies the relationship development based on the trust and commitment of the buyer to the supplier. The aim of the author is to investigate the impact of satisfaction, trust, buyer loyalty and perceived quality of services on the level of achieved loyalty. Empirical research was carried out on a sample of small and medium-sized enterprises in order to identify loyal and disloyal customers. Statistical analysis is based on the application of multivariate techniques that enabled simultaneous analysis of the mutual relationship between the identified four independent variables on the dependent variable, i.e. on degree of buyer loyalty.


2014 ◽  
Vol 18 (5) ◽  
pp. 952-970 ◽  
Author(s):  
Marco Romano ◽  
Manlio Del Giudice ◽  
Melita Nicotra

Purpose – This paper aims at identifying factors that might affect academic patent activities. It investigates the characteristics of universities acting on the number of academic patents, thus classifying elements of differentiation among universities able to determine the level of patent activity. Design/methodology/approach – Three hypotheses are tested through a regression analysis, considering various academic variables. Findings – Results demonstrate that the patent activity is mainly influenced by the presence of universities’ internal policies that regulate such a field. The adoption of a regulation is a signal for academics of the university inclination and attempt to develop an environment conducive to patent activities, and to offer structured support to inventors in the different phases of the patenting process. Research limitations – The study, as it focuses on a single country, Italy, may reflect some peculiarities of the national system. Future research may extend it to different geographical areas in which institutional and environmental factors are different, or, maintaining the geographical location, study the impact of institutional factors to the change over time in the rate of patenting universities. Originality/value – Unlike the great number of studies which focus on institutional factors affecting university patent activity, the present study explores the academic elements able to valorize and exploit scientific knowledge, providing also a practical guidance for university governance.


Author(s):  
Iryna Lukianenko

The subject of the study is a set of theoretical and methodological foundations, as well as econometric tools for substantiating the representation of the shadow economy as a negative factor for the development of the Ukrainian economy. The purpose of the study is to empirically analyze the peculiarities of the impact of the main factors and risks on the level of the shadow sector in Ukraine and other countries in the world, as well as to determine the strategic directions for further reducing of shadow part of Ukrainian economy with the use of the developed econometric toolkit. Such general scientific methods of analysis and synthesis as methods of comparative analysis, generalization, systematization, and grouping of data, methods of graphic and scenario analysis, as well as econometric tools, in particular methods and models of panel (longitudinal) data wereused in the process of research. Results. A significant amount of the shadow sector in Ukraine poses additional threats to the effective functioning of the economy and its economic development, especially in conditions of political and economic instability. The conducted statistical and empirical analysis confirmed the hypothesis that during a deep economic crisis, the shadow economy may not only be a consequence but also a cause of a growing fall in gross domestic product and, in turn, can aggravate a crisis that is also characteristic of the Ukrainian economy. Even though in recent years there has been a tendency of reducing the shadow level of the Ukrainian economy, it is still a considerable amount, which threatens the financial and economic security of the state and requires the formation of a scientifically grounded strategy for its lowering. The current situation requires not only an adequate definition of the sources of the shadow economy, mechanisms and development, the relationship with the formal economy but also the definition of the main factors affecting its level, as well as quantitative assessment of such impact using economic and mathematical methods of research. The empirical analysis of the impact of the main financial and economic indicators on the level of the shadow economy on the basis of panel data tools for a sample of more than 31 countries of the world allowed to identify not only the main macroeconomic factors affecting the shadow economy, taking into account the specifics of each individual state, but also significantly increase the number of observations and thus increase the accuracy of calculations in the conditions of limited information in a time dimension. Besides, the presentation of countries of different groups in the sample allows, for example, to measure how the country's entry into the European Union affects the level of the shadow economy and whether it affects it overall. According to the modeling results, the clustering of the countries was carried out depending on the level of the shadow sector and the initial conditions for the tendency to shadow. The hypothesis is that the shadow economy of Ukraine exists and even develops in favorable terms that are accompanied by low rates of social and economic development, the imperfection of the legislative and the judicial system, the complexity of opening and doing business, a rather high level of tax rates and a significant spread of corruption. Moreover, a scenario analysis based on the developed model showed that, in the wake of the economic crisis, the shadow economy of Ukraine would tend to increase, which will further deepen the economic downturn in the country in the medium term. Accordingly, the definition of strategic directions for lowering the part of the shadow economy in Ukraine becomes one of the priority tasks of its economic policy. The results of the study can be used by public authorities to form economic policies and strategic directions aimed at ensuring a gradual reduction of the shadow economy in Ukraine, enhancing its financial security and economic development. Conclusions. The presence of the shadow sector is characteristic for almost all countries in the world, but under current conditions of economic development, a significant part of shadow economy becomes an obstacle to the development of a robust corporate sector, the establishment of a functioning market economy and economic growth. The statistical and empirical comparative analysis of the factors influencing the level of shadowing of the economy of different countries confirms the fact that due to imperfect economic, social and legal reforms, many of them still have a high level of the shadow economy, including Ukraine, which negatively affects the level of its economic development. Moreover,  according to the optimistic scenario based on the developed econometric model of panel data, the positive dynamics of the gradual reduction of the level of shadow economy to 30.2% of the country's GDP in 2022 were obtained.  Despite that fact, according to more realistic assumptions, the growth of the shadow sector is somewhat probable to the level that far exceeds its current value. Accordingly, the definition of strategic directions for further reducing of shadow part of the Ukrainian economy is one of the critical tasks of its economic policy. At the same time, as statistical and empirical studies have shown, the effectiveness of the policy of deterrence should increase as a result of the implementation of elaborate measures aimed, in particular, at reducing the impact of factors that increase the level of the shadow economy in the country; increase of expenses from attraction to shadow activity and riskiness for its participants; raising public awareness about the harmful effects of shadow economy; growth of personal income and living standards of the population, etc.


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