Цифровая экономика: 2021: краткий статистический сборник
The work is devoted to the topical issues of practical implementation of digital transformation services in the economic processes of transport, foreign and mutual trade in the digital economy. The authors analyze the strategic planning documents adopted recently in the EAEU countries, which provide for measures aimed at stimulating the development of digital technologies and their use in various sectors of the economy, including the program "Digital economy of the Russian Federation". Emphasis is placed on the fact that there is no definition of "digital economy" in the approved policy document, which focuses on the development of purely infrastructural elements of the new economic order. The authors, noting the service nature of the transport industry, propose a new principle of priority implementation of innovative digital management mechanisms in transport processes: first, the construction of new digital services, then - the creation or integration of infrastructure necessary to ensure them.
The purpose of this article is to consider the main elements of taxation in a digital economy. On the base of the analysis, it was concluded that in conditions of digital economy, the development of information resources would provide a concretization of the provisions of the main elements of taxation and optimize the emergence and pursuance of the constitutional duties to pay taxes, as well as the calculation of tax amounts. The main provisions and conclusions can be used in scientific and practical activities when considering the issues of the legal construction of taxes.
The authors develop a definition of the sharing economy as a new business model. The article analyzes and systemizes different approaches to understanding this term, highlights its key components. Also, the authors discuss a number of factors affecting the consumers’ behavior in the era of the digital economy, highlight key trends in the market of the collabo-rative consumption. As a result, based on the online-survey data, the authors identify the most popular services of the sharing economy for Russian consumers.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.