The concept of inclusive development is gaining momentum in both the academic and policy-making arenas. There are a plethora of definitions and several indicators with which to monitor its progress at the national level. However, the regional level has been relatively overlooked in the analyses carried out by academics. This is particularly serious for large countries marked by deep regional disparities. The aim of this paper is to address this gap by proposing and applying a framework to assess inclusive development at the regional level. Drawing on a critical analysis of the concept and existing indexes, the paper proposes an index of Regional Inclusive Development and applies it to the regions of the Russian Federation. Moreover, it compares the suggested index with established indicators of regional socio-economic development, namely quality of life and gross product. The results support the idea that at the regional level, there is a significant correlation and interdependence between all dimensions of the sustainable development concept—environment, the economy, and society—and that inclusiveness should not be ignored or undervalued in the analysis of development processes. Furthermore, the results show significant differences in the positioning of the regions in terms of the inclusive development rankings as compared to their positions in the quality of life and gross product rankings. The results also reveal small interregional differences among Russian regions, which are unexpected given the size of the country.

The article presents an approach to sustainable environmental development of the Murmansk region of the Russian Federation based on the complex regional indicators as a transformation of a balance scorecard method. The peculiarities of Murmansk region connected with sustainable environmental development are described. The complex regional indicators approach allows to elaborate the general concept of complex regional development taking into consideration economic and non-economic factors with the focus on environmental aspects, accumulated environmental damage in particular. General strategic chart of sustainable environmental development of the Murmansk region worked out on the basis of complex regional indicators concept is composed. The key target indicators of sustainable ecological development of the Murmansk region are presented for the following strategic chart components: regional finance; society and market; industry and entrepreneurship; training, development and innovations. These charts are to be integrated with international environmental monitoring systems.

This paper assesses the readiness of Russia’s government authorities and local governments for a digital transformation. The digital economy’s condition in the public sector is analyzed, and the problems and possibilities of developing a digital economy in this area are identified. Based on an analysis of the current methods for assessing countries’ readiness for a digital economy and international models to evaluate the development of an e-government, a methodological approach is developed to enable the assessment of a “digital government’s” maturity level at various governmental levels. St. Petersburg was selected as the object of this paper’s research. Expert procedures, methods for gathering and processing statistical information, and fuzzy logic served as the methodological basis for this paper’s calculations. The maturity level of the city’s digital economy was identified using a fuzzy-set approach. The results of these calculations show that, despite numerous solutions aimed at developing digitalization in the public sectors of Russia and, in particular, St. Petersburg, the maturity level of the city’s digital government remains insufficient to satisfy society and businesses’ modern demands. Based on the conducted research, this paper highlights the reasons for the low maturity level of St. Petersburg’s digital government and develops recommendations on how to increase this maturity level.

The article discusses the possibility of valuing of the aggregated industrial development level index for the region by fuzzy-set method. Input variables were determined based on System of regional indicators (SRI) in the component of the ≪Industry and Entrepreneurship≫. In the study identified the factors influencing the industrial development level of the region, formed the linguistic scale for evaluation of an aggregated index, and calculated the index for the Murmansk and the Yamalo-Nenets District of Russia. Assessment and comparison of the industrial development level of regions was made. The indicator can be used to monitor the industrial development of the regions and decision making in development of regional economic policy.