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The purpose of this paper is to review policy or guidance on the implementation of Section 5(4) written by NHS mental health trusts in England and health boards in Wales.

A Freedom of Information request was submitted to all trusts in England (n=57) and health boards in Wales (n=7) asking them to provide a copy of any policy or guidance on the implementation of Section 5(4). Documents were analysed using content analysis. Specific attention was given to any deviations from the national Mental Health Act Codes of Practice.

In total, 41 (67.2 per cent) organisations had a policy on the implementation of Section 5(4). There was a high level of consistency between local guidance and the Mental Health Act Codes of Practice. There were however; different interpretations of the guidance and errors that could lead to misuse of the section. Some policies contained useful guidance that could be adopted by future versions of the national Codes of Practice.

The research has demonstrated the value of examining the relationship between national and local guidance. Further research should be undertaken on the frequency and reasons for any reuse of the section.

Greater attention should be given to considering the necessity of local policy, given the existence of national Codes of Practice.

This is the only research examining the policy framework for the implementation of Section 5(4).

For at least the last 10 years, the Russian authorities have been declaring the need to move to an innovative path of economic development. The government actively initiates and applies various instruments and measures to promote innovation. However, the effectiveness of the Russian innovation policy is still in question. The chapter examines the evolution of state policy to foster innovation growth in Russia since 2000 and describes some sets of achievements and problems for different stages of this policy. In addition to analysis of changes in the innovation sphere at the macro-level, we discuss the primary motivations and limitations at the micro-level (firm level). As a result, the critical institutional barriers to innovation-based growth are revealed. In the same time, certain successes have been achieved in some sectors, and we consider various opportunities to improve Russian technological and innovation policy.

This chapter models industrial, tech, and financial cooperation between Russia and the countries of the Asia-Pacific region. We use several complex methods of economic and mathematical modeling to analyze specific features of such cooperation and determine critical factors in industrial, technological, and financial development. The preferable choice for the Asia-Pacific region is cooperation with Russia, which is ready for an increase in imports of industrial and high-tech products as well as joint industrial innovational entrepreneurship. Investments would lead to synergetic effects, ensuring simultaneous industrial, technological, and financial development.

The purpose of this research is to elaborate on the game strategies of technology parks and innovation networks that influence the provision of sustainable development of countries.

The method of formalisation, statistical method and the game theory of alternate reality are used in this research.

The study of the main characteristics of the influence of integration structures (technology parks and innovation networks) of the leading countries in the sphere of sustainable development (Finland, Sweden, Denmark and Germany) and identification of their game strategies of development allow stating that the selected directions of strategic management and interaction are efficient, ensuring the business interests and supporting the social sector and ecologisation of the country. There is an effect of the use of the development strategies of the leading integration structures on the economic component of countries, since, despite the influence of the global crisis and domestic problems, they demonstrate high economic indicators of development.

The scientific novelty and value of this research consist in the elaboration of the theoretical framework on the strategic directions of the development of integration structures (technology parks and innovation networks) and their influence on the achievement of the SDGs.

Labor productivity always plays an important part in the growth of manufacturing sector of any nation, and certainly, in the growth of GDP as well. Now, the relationship between these three variables has been of interest to the researchers because few nations have experienced labor productivity–led economic growth, whereas for others it has been the other way round. In this chapter we have studied the relationship between labor productivity, manufacturing output, and growth of GDP, for 25 major economies across the globe, covering the period 2000–2015, with the help of simultaneous equation system for individual nations as well as panel data analysis, covering all the nations together. Study of this relationship has, hardly, been done before which is our prime motivation behind the study. Our findings suggest that in most of the nations, these variables have significant impact on one another but there are exceptions as well. Apart from that, there are variables like energy consumption, health status, life expectancy, foreign direct investment, etc., which are significant in influencing these variables. So, policy measure suggests that importance should be given not only on labor productivity or output of manufacturing sector but also on factors that can influence these variables.

This research is to determine scenarios and perspectives for improving the cluster strategy of business integration in the post-COVID-19 era with the help of the methodology of the game theory.

The methodology of this research includes the complex method, statistical method, correlation analysis and the game theory of decision-making.

Based on the analysis of scientific approaches, we formulate the authors' treatment of the essence of the notion of clustering, which characteristics are evaluated in this work. In this treatment, we distinguish factors that influence the development of clustering of business structures of the state, which level is assessed within the analysis. The components of the competitiveness of business structures are among such factors. Cluster structures of certain countries successfully functioned during the COVID-19 pandemic, using effective strategies created independently (United States) and based on the strategies of non-market regulation (China).

The scientific novelty of this research consists in the identification of the types and characteristics of the strategies of clustering of business structures formed during the COVID-19 and post-COVID-19 eras.

The chapter aims to determine the need to form a new industrial core of the Russian industry, its content, problems, prospects and the objective prerequisites of its formation in modern conditions.

The development of prerequisites for the formation of a new industrial core of the Russian industry relies on the possibilities of the system paradigm, the theory of socio-economic transformation, the theory of technological modes, the theory of reproduction, the theory of modernization, the method of dialectics, empirical method and the method of analysis and synthesis.

The authors determine that the formation of a qualitatively new industrial core of the Russian industry corresponding to the new technological mode will ensure the integration of the Russian economy in the accelerating technological and socio-economic transformations.

The authors substantiate the demand for the formation of a new industrial core of the Russian industry. The problems associated with the destruction of the former industrial base during the economic transformation are established. Additionally, the authors determine the prospects for the formation of a new industrial core of the Russian industry on a qualitatively new technological basis.

The objective of this paper is to analyze the relationship between innovation and the development of artificial intelligence (AI) and digital technologies in Europe. The use of digital technologies among European companies is studied through a composite index, while the relationship between innovation and AI is studied through a log-linear regression model. The results of the model have made possible to develop interesting indications for economic and industrial policy.

The use of digital technologies among European companies is studied through a composite index of AI and information technology (ICT) (using the Fair and Sustainable Welfare methodology) with the aim of measuring territorial gaps and to know which European countries are more or less inclined to its use, while the relationship between innovation and AI is studied through a log-linear regression model.

In the paper, two different methodologies were used to analyze the relationship between innovation and the development of digital technologies in Europe. The synthetic indicator made possible to develop a taxonomy between the different countries, the log-linear model made possible to identify and explain the determinants of innovation.

The description of the biunivocal relationship between innovation and AI is a topical and relevant issue that is treated in the paper in an original way using a synthetic indicator and a log-linear model.

本文旨在探討在歐洲、創新與人工智能和數字技術的發展之間的關係。研究人員透過一個綜合指數、去探討歐洲公司之間數字技術的使用狀況。至於創新與人工智能之間的關係, 則以對數線性回歸模型來進行研究。從模型所得的結果, 為我們提供了建議、去訂定適切的經濟和產業政策。

研究人員透過一個人工智能和資訊科技的綜合指數, 去探討歐洲企業之間數字技術的使用狀況 (研究人員使用了公平和可持續福利方法論), 其目標為測量領土差距, 以及確定哪些歐洲國家、大體上傾向於使用數字技術;至於創新與人工智能之間的關係, 則以對數性回歸模型來進行研究。

本文使用了兩個不同的方法、去探討在歐洲、創新與數字技術發展之間的關係。有關的合成指標, 使研究人員可製定一個不同國家間的分類法;而有關的對數線性模型, 則讓研究人員可確立並說明創新的決定因素。

本文使用了合成指標和對數線性模型、去探討創新與人工智能之間的一對一的關係, 這是時下受到關注和適宜的課題;就研究法而言, 本研究確是新穎獨創的。

This study aims to examine the premature deindustrialization risk in Vietnam.

This study uses a manufacturing–income relationship to conduct an empirical estimation. The latecomer index is adopted in the regression model to identify a downward shift of latecomer's relationship.

The empirical analysis indicates that there is a risk of premature deindustrialization in the Northern Midlands and Mountain Areas. The provinces with low trade openness or foreign direct investment may experience risk of premature deindustrialization.

This study proposes technology diffusion as a policy direction to prevent premature deindustrialization. Furthermore, the Vietnamese government should improve the business environment in the Northern Midlands and Mountain Areas by promoting and attracting export-oriented foreign direct investment.

This study is the first to examine premature deindustrialization in Vietnam based on provincial-level data.

The purpose of the paper is to develop a perspective mechanism of the investment and innovative activities of university in the conditions of industry 4.0, which allows supporting its high investment attractiveness and high effectiveness of usage of venture investments in digital education.

The research is performed by the example of modern Russia with application of the methods of trend analysis and regression analysis in two consecutive stages. The authors determine regression dependence of the efficiency of digital modernization of universities (on the basis of the indicator of fixed assets implementation) on the volume of investments into fixed assets. Dependence of the indicator of digital competitiveness of education (“training and education”), calculated within the part “knowledge” of the IMD rating “world digital competitiveness ranking,” on commissioning of fixed assets by universities is determined. For the purpose of representativeness of the selection of statistical data, which initial period is 2012, not only factual data for 2012-2018 are used but also forecast data for 2019-2024 (as the national program “digital economy of the Russian Federation” is due until 2024).

Low effectiveness of usage of venture investments in digital education in Russia is substantiated. As investments are provided in the form of target state financing, universities cannot independently determine the directions of their usage and have to use them for purchasing digital equipment and technologies. Other necessary measures for digital modernization of education, namely, training of digital personnel for university, access to digital infrastructure, development of new educational programs, conduct of research and development and marketing, are not implemented.

It is determined that attraction of private venture investments faces the problem of their large volume and high risk. Both problems could be solved by the developed mechanism of investment and innovative activities of a university in the conditions of industry 4.0. It shifts the initiative from university to digital business, which independently initiates the process of venture investing.