Entrepreneurship and institutions: Does the relationship exist at the regional level in Russia?

Баринова, Вера; Земцов, Степан; Tsareva, Yulia

doi:10.32609/0042-8736-2018-6-92-116

Cited by 43 publications

(35 citation statements)

References 33 publications

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“…2 As of mid-April 2020, this limitation in Russia has been overcome [10]; however, regional imbalances are still possible, especially taking into account the uneven representation of private laboratories. 3 Different regions may simultaneously apply different approaches: testing only those hospitalized with suspicious symptoms, all those who have contacted them, risk groups, everyone, or random testing. Approaches are rapidly changing as the number of cases increases, tests become more available, etc.…”

Section: Methodology and Its Limitations Applicable To The Analysis Omentioning

confidence: 99%

“…2 As of May 12, 2020, Russia had more than 230 000 confirmed cases of the SARS-CoV-2 coronavirus infection, including about 43000 people who were discharged from hospitals and more than 2100 deaths. 3 According to new data after the article was accepted for publication as of October 5, 2020, 1225 889 cases of coronavirus infection were registered in Russia (35.4 mln in the world), 982 324 people (80.1%) were discharged for recovery. 21 475 patients with coronavirus died in Russia (1.75%), 1.036 mln died in the world (2.95%).…”

Section: Introductionmentioning

confidence: 99%

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COVID-19: Spatial Dynamics and Diffusion Factors across Russian Regions

Земцов

Бабурин

2020

Reg. Res. Russ.

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The observed spread of coronavirus infection across Russian regions, as a first approximation, obeys the classic laws of diffusion of innovations. The article describes in detail theoretical approaches to the analysis of the spread of social diseases and discusses methodological limitations that reduce the possibility of predicting such phenomena and affect decision-making by the authorities. At the same time, we believe that for most regions, including Moscow, until May 12, 2020, the dynamics of confirmed cases are a reduced and delayed reflection of actual processes. Thus, the introduced self-isolation regime in Moscow and other agglomerations affected the decrease in the number of newly confirmed cases two weeks after its introduction. In accordance with our model, at the first stage, carriers infected abroad were concentrated in regions with large agglomerations and in coastal and border areas with a high intensity of internal and external links. Unfortunately, the infection could not be contained, and it started growing exponentially across the country. By mid-April 2020, cases of the disease were observed in all Russian regions; however, the remotest regions least connected with other parts of Russia and other countries had only isolated cases. By mid-May, at least in Moscow, the number of new cases began to decline, which created the prerequisites for reducing restrictions on the movement of residents. However, the decrease in the number of new cases after passing the peak of the epidemic in May is slower than the increase at the beginning. These facts contradict the diffusion model; thus, the model is not applicable for epidemiological forecasts based on empirical data. Using econometric methods, it is shown that for different periods of diffusion, various characteristics of the regions affect the spread of the disease. Among these features we note the high population density in cities, proximity to the largest metropolitan areas, higher proportion of the most active and frequently traveling part of the population (innovators, migrants), and intensive ties within the community, as well as with other regions and countries. The virus has spread faster in regions where the population has a higher susceptibility to diseases, which confirms the importance of the region's health capital. The initial stage was dominated by random factors. We conclude this paper with directions for further research.

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Section: Methodology and Its Limitations Applicable To The Analysis Omentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

COVID-19: Spatial Dynamics and Diffusion Factors across Russian Regions

Земцов

Бабурин

2020

Reg. Res. Russ.

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“…4 Entrepreneurial activity and institutional conditions for the development of small business (Barinova, Zemtsov, & Tsareva, 2018;Bosma, Sanders, & Stam, 2018; determine the possibilities for creating new areas of employment, realizing the creative potential of residents.…”

Section: F I G U R Ementioning

confidence: 99%

New technologies, potential unemployment and ‘nescience economy’ during and after the 2020 economic crisis

Земцов

2020

Regional Science Policy & Practice

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“…Small and medium-sized businesses play an important role in the development of the region municipalities, many of which lack large production facilities. The sector of small and medium-sized enterprises (SMEs) will be able to fulfill its socio-economic and political role only in the presence of favorable conditions for its activities, which ultimately determines the goals and objectives of public authorities and management in relation to it (Barinova, Zemtsov, & Tsareva, 2018).…”

Section: Problem Statementmentioning

confidence: 99%