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This paper explains the importance of environmental care for the growth and development of the global world and how One Belt One Road Initiative (OBOR) can help to connect Asia, Europe, and Africa for economic cooperation and long-term sustainability. Paper, based on bibliometric analysis and utilizing Web of Science Core Collection database for calculation, summarizes total OBOR publications in terms of quantity, citations, regions, disciplines, institutes and explains about the most productive countries. Results reveal that total OBOR papers indexed in Web of Science was found 2508 where there were 1335 articles and 854 proceedings papers marking 87.3% of total OBOR research. We find the most productive direction of environmental science and global climate change and work related to environmental policies. Results show that China has contributed 73.3% (1755 publications) to global OBOR publication and have received 69.3% of all citations to "One Belt One Road" publications. Highest average citation level was from Canada, Portugal, and Spain while China's average citations were quite low though very close to average world level. Internationally collaborated publications had more citations than the publications prepared by authors of one country. The paper concludes that environmental concerns should be kept in mind while focusing on the growth and development. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to create a methodological approach for identifying priority areas for science and technology (S&T) development and its empirical application within the city of Moscow. This research uncovers a wide range of multicultural and multidisciplinary global trends that will affect the development of major cities in an era of complexity and uncertainty, including the inherent complexity of urban contexts, demographic and socioeconomic trends, as well as scientific and ecological factors. Design/methodology/approach: The methodological approach is based on classic foresight instruments. Its novelty lays in the blending of qualitative and quantitative methods specially selected as the most appropriate for the identification of S&T areas in an era of complexity and uncertainty, including horizon scanning, bibliometric analysis, expert surveys and the construction of composite indexes with respect to the scope and resources of the research and the selected object for empirical application – Moscow, which is one of the world's largest megacities. The analysis was performed for the period of 2009–2018 and expert procedures took place in 2019. Findings: As a result, 25 global trends were identified, evaluated and discussed over the course of an expert survey and subsequent expert events. Ten priority areas of S&T development were determined, including 62 technological sub-areas within them and the most important market niches for all identified technological sub-areas, which could be useful for the world's megacities. The results of this study are illustrated using the construction sector. Based on the conducted research and results, a list of recommendations on S&T policy measures and instruments were suggested, including the creation of the Moscow Innovation Cluster, which by the end of 2023 contained more than 6,000 projects and initiatives, selected using the findings of this investigation. Originality/value: This research contributes to the existing literature and research agenda of setting priorities for S&T development and shows how it can be done for a megacity. The blended foresight methodology that was created within the study satisfies the criteria of scientific originality, is repeatable for any interested researcher, is applicable to any other city in the world and demonstrates its high efficiency in empirical application. It could be used for creating new agenda items in S&T policy, setting S&T priorities for a megacity and integrating the results into decision-making processes. This study provides recommendations on the further implementation of the designed methodology and results into a policymaking system. Moreover, the example of the Moscow Innovation Cluster, which was created based on the results of our research, demonstrates these recommendations' practical significance in real life, which is quite valuable. The limitation of this study is that it is not devoted to urban planning issues directly or the promotion of R&D areas; it is about setting promising S&T priorities in an era of complexity and uncertainty for megacities. [ABSTRACT FROM AUTHOR]

Purpose: What is the effect of an increase of migration inflows on the R&D and innovative performance of developing countries? The purpose of this paper is to investigate the impact of migration inflows on the R&D and innovation activity (measured as expenditures on R&D and technological innovations) in Russian regions. Design/methodology/approach: To this end, the authors use data on 85 Russian regions for the period 2010-2016 through a multi-region economic geography model. In particular, the authors test the hypothesis about the importance of migration inflows on R&D and technological innovation activity (H1) and the hypothesis about the importance of immigrants' (incoming migrants) human capital (measured by the education level of incoming migrants) on R&D and innovation activity (H2). Findings: Empirical findings support the evidence in favour of a positive causal link between innovation and migration inflows. Results of our investigation are important because they suggest useful insights for formulating science and innovation policies in Russia, which is a developing country where the recent policies favouring the technological innovation as the transition period have not yet achieved a satisfying outcome. Originality/value: This paper increases the knowledge in the field with respect to the existing literature, shedding further light on the migration inflows effects, which is a political topic to manage very relevant in all countries. [ABSTRACT FROM AUTHOR]

The aim of this paper is to explore the impact of environmental innovation on employment in 85 Russian regions (federal subjects) for the period 2010–2014. In particular, we use latitude and longitude coordinates to compute the distance between Russian regions according to haversine formula. In this way, we measure the spillovers as the weighted sum of R&D capital stock on the basis of computed distance. The contribution to the literature is to explore whether environmental innovations are labour-friendly or labour-saving in Russia. From the empirical results of least squares dummy variable corrected (LSDVC) estimator, we observe different results by Federal Districts (groupings of the federal subjects) of the Russian Federation. The finding is very important in terms of policy implications for supporting employment. [ABSTRACT FROM AUTHOR]

Purpose The paper aims to present the results of the first Russian pilot study on technological level of organisations upon the answers of 2,500 respondents out of nine sectors of economy to a broad specialised questionnaire. The purpose of the study is to assess the technological level of organisations on the basis of qualitative information that comprehensively reflects its most important characteristics, as well as identify factors that affect the technological level of production.Design/methodology/approach It offers a look at which methodological approaches were developed and what the survey shows on characteristics of the application of technology (the scope and extent of the application, level of technology, the problems solved by applying specific types of technology) and the application of intellectual property rights.Findings The paper also highlights some interesting findings that suggest that the majority of national organisations tend to pursue technological self-sufficiency strategies and quite a large part of them are not active in either domestic or foreign Science & Tecnology markets.Originality/value An originality lies in the proposed methodological approaches of the study, in the selected indicators of progressivity and the scale of application of technology related to the level of production capacities of the surveyed medium and large enterprises and organisations. This identifies significant incentives for organisations to increase their technology level as well as competitive advantages for the respondents themselves and for their competitors. [ABSTRACT FROM AUTHOR]

Purpose The purpose of this paper is to look at the factors driving labour creation in Russia, while paying attention to the role of innovation policy. The study considers innovation variables with indicators linked to social conditions (social filter component) and geographical spillovers for 85 regions during the period 2010-2016.Design/methodology/approach In particular, the study uses latitude and longitude coordinates to compute the distance between Russian regions according to the Haversine formula. In this manner, it measures the spillovers as the weighted sum of R&D capital stock on the basis of computed distance, according to the accessibility index procedure.Findings The finding is very important in terms of policy implications for supporting employment. As the results stress that own innovation produces labour creation effects, while knowledge spillovers are labour-saving, the study could conclude that regional innovation policy may have undetermined the objective of an efficient level of absorptive capacity able to benefit positively from external innovation.Originality/value The study contributes to the literature by exploring whether geographical spillovers are labour-friendly or labour-saving in Russia. [ABSTRACT FROM AUTHOR]