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Introduction: Today the ability of nations to develop and implement innovations is core for their international competitiveness. Ukraine is striving for innovation progress; however, its innovation performance is relatively low. The research problem is to find the bottlenecks, affecting Ukraine’s innovation capability.

Purpose: This study aims to research the national innovation capability profiles, based on cluster analysis, to develop an understanding of drivers and threats for the innovation capability of Ukraine.

Need of the study: The knowledge-based economy, which had already turned into one of the most efficient developmental models of the 21st century, became a key driver of international competitiveness for the leading developed countries due to their progressive structural shifts towards the growth of high-technology manufacturing and knowledge-intensive sectors. These trends are significant to capture for the sake of increasing the innovation capability of the economy of Ukraine.

Methodology: The study is based on the K-means clustering method, which is employed for identifying 10 country clusters based on the indicators of their R&D and innovation activities, which allowed us to assess the innovation capability of Ukraine in comparison with 140 countries of the world. Data selection and normalisation were based on the 2019 Global Competitiveness Report indicators.

Findings: The study showed that Ukraine’s innovation capability problems are typical for most developing countries and are prevalently connected to low R&D expenditures, patent applications, and international co-invention activities. Most countries, except for the technologically developed ones, follow the so-called ‘passive technological learning’ strategies, which usually result in low economic productivity.

Practical implications: Several innovation policy implications have been developed for the government of Ukraine based on the cluster analysis results and accounting for the problems of the national innovation system (NIS).

This chapter discusses the positioning of Belarus in the international context of socioeconomic development based on an assessment of the country's dynamics in world rankings. The country's presence in the recognized world rankings and its holding high positions in them is an obvious advantage for achieving a favorable investment image. Ratings characterize the country's comparative position at the international level in a number of areas: from credit capacity to human capital development.

There has been analyzed the position of the Republic of Belarus in several recognized international comparisons, such as Human Development Index, Doing Business, ICT Development Index, Global Innovation Index, Sustainable Development Goals Index, Corruption Perceptions Index, Rule of Law Index, Worldwide Governance Indicators, and others.

However, Belarus is not yet participating in the international competitiveness assessment through such popular international ratings as Global Competitiveness Index and Global Entrepreneurship Monitor. The research findings show that the strongest aspects of the socioeconomic development of Belarus are in place due to the high educational level of the human capital development, gender equality, and the implementation of the UN sustainable development goals. The analysis also shows that the weaknesses of institutional environment and public administration do not enable the full implementation of the planned goals of socioeconomic development.

This paper seeks to discuss technology transfer – and its role in climate change mitigation – within the United Nations framework of sustainable development. Innovation is broadly considered as a tool to bring about breakthrough results in climate change alleviation. To ensure that innovative technology serves sustainable development, a massive international effort on the part of the regulators is required to create an integrated legislative framework to standardize eco‐innovation policies worldwide. To facilitate a global ecological regulatory framework, it is essential to use universal measurement tools which provide input to the decision‐making process at an international level, and address the mechanism of monitoring progress.

The concept of eco‐innovation potential is introduced as one of the inputs to the decision‐making process on the global level. A composite index with such constituents as ecological balance (deficit or reserve), innovation, and energy intensity of economy, is built. The concept of innovation credits is introduced.

The simulation shows that ecological balance can potentially be increased for countries with greater eco‐innovation potential. The innovation credits can be given to countries with the highest eco‐innovation potential to foster eco‐innovation and perform technology transfer.

Earlier research developed focus on innovation as a means to transition to sustainable development and to create climate positive technological regimes applied at a national or industry level. The paper illustrates that the eco‐innovation potential index can be applied globally and can provide key input to the decision‐making process at a global level.

The purpose of this study is to measure and analyze the national innovation efficiency of organisation for economic co-operation and development (OECD) countries. This is to determine to what extent OECD countries efficiently use the elements that enable innovation activities possible in generating innovation outputs.

An input–output model was constructed to measure efficiency. The inputs and outputs in the research model are the input and output sub-indices of the Global Innovation Index. Data envelopment analysis was used to measure the national innovation efficiency levels of OECD countries.

The results show that national innovation efficiency is generally high in OECD countries. However, some countries lag behind in innovation efficiency. OECD countries’ ability to create and provide the elements that enable innovation activities is higher than their ability to create innovation outputs. OECD countries have a good innovation environment and a high level of resources, but they should focus on how to create more innovation outputs.

This study presents a measurement of national innovation efficiency of OECD countries which contributes “Innovation Strategy” agenda. The results empirically show that overall innovation indices cannot be the only indicator of the performance of national innovation systems. In this study, an innovation efficiency/performance matrix is constructed to present the relative positions of the countries to help in examining countries’ strengths, weaknesses and potentials based on innovation efficiency and innovation performance simultaneously. This study contributes to the literature by presenting a broader perspective and measurement of national innovation efficiency by taking an extensive number of indicators into account.

While the trade sector has long been the backbone of growth followed by real estate development in Dubai, the impact of reduced oil revenues in the Gulf Cooperation Council (GCC) has affected Dubai. GCC countries have identified innovation and transitioning to a knowledge-based economy as critical components of sustainable growth in the post-oil world. The purpose of this chapter is twofold: (1) to examine UAE’s competitiveness relative to four economies for which we can draw meaningful conclusions (Qatar, Singapore, Norway, and Switzerland) and (2) to integrate macro- and micro-level findings in an actionable framework. Using the composite Knowledge Economy Index (KEI) developed by the World Bank (2008, 2012), we conclude that UAE should prioritize three key areas to ­transition to a knowledge-based economy: the regulatory regime, innovation, and human capital. These findings are consistent with a recent study by the UAE Department of Economic Development/INSEAD, which highlights two areas that need addressing: “Creation” (knowledge creation) and “Anchoring” (institutional environment for innovation). We integrate these macro-level findings with research at the innovation ecosystem level (and particularly survey-based research completed by Wamda Research Lab) to propose a comprehensive action framework across all ecosystem stakeholders (i.e., government, entrepreneurs, academia, support ecosystem, and corporates). The action matrix allows individual stakeholders to drive corresponding actions and prioritize across short- and long-term initiatives.

This paper aims to depart from the national innovation system (NIS) arguments that countries' institutional arrangements and performance result from various complementary factors that generate innovative activities and products within economies.

To further explore these dimensions, the main objective of this paper is to address the determinants of global heterogeneity in the innovation outcomes of the nations. Thus, the research employs descriptive data analysis and multivariate regression models, using data from the Global Innovation Index (GII) to analyze innovation systems cross-regionally concerning institutional arrangements and performance. Since 2013, the GII, has annually measured and ranked the innovation inputs and outputs of more than a hundred countries based on a comprehensive and sophisticated approach and a multidimensional perspective.

The author found the empirical results remarkably interesting in many respects. The different indexes of innovation inputs affect the country's performance level, but not all show a statistically significant impact on innovation outputs. Institutions and infrastructure indexes do not affect the innovative performance of the economies. The main determinants of innovation performance worldwide are business sophistication, human capital & research (HC&R) and market sophistication. In short, the research presents an original contribution, mainly because it explores different views on NIS disparities worldwide, using complementary methodological strategies and based on comprehensive data on innovative inputs and outputs in the countries.

The findings add new evidence-based knowledge on the determinants of innovation performance in different realities, such as political, economic and administrative. These realities formulate innovation policies and implement them worldwide.

This chapter shows how to construct and test case-based macro models. The chapter makes use of national data to examine influences on quality-of-life of national cultures as complex wholes and entrepreneurship activities in Brazil, Russia, India, China, Germany, and the United States (the six focal nations) plus Denmark (a small-size, economically developed, nation). The study tests McClelland’s (1961) and more recent scholars’ proposition that some cultural configurations nurture entrepreneur startups, while other cultures are biased toward thwarting startups. The study applies complexity theory to develop and empirically test a general theory of cultures’, entrepreneurship’s, and innovation’s impact on quality-of-life across nations. Because culture represents a complex whole of attitudes, beliefs, values, and behavior, the study applies a set-theoretic approach to theory development and testing of alternative cultural configurations. Each of 28 economical developed and developing nations is scored for the level of the national cultures for each of six focal countries. The study selected for the study enables multi-way comparisons of culture-entrepreneurship-innovation-QOL among large- and small-sized developing and developed nations. The findings graphically present the complex national cultural configuration (x-axis) with entrepreneur nurture/thwart (y-axis) of the 28 nations compared to the six focal nations. The findings also include recognizing national cultures (e.g., Switzerland, the United States) nurturing entrepreneurial behavior versus other national cultures (e.g., Brazil and India) thwarting entrepreneurial behavior. The study concludes with a call to recognize the implicit shift in culturally implicit thinking and behavior necessary for advancing national platforms designed to successfully nurture entrepreneurship. Entrepreneur strategy implications include the observation that actions nurturing firm start-ups by nations low in entrepreneurship will unlikely to be successful without reducing such nations’ high levels of corruption.

The purpose of this paper is to present and evaluate the performance of innovation systems by considering two indicators of efficiency and effectiveness. The scope of the evaluation is globally and due to the situation of each country, the suggested strategies are proposed to maintain the status quo or move toward the desired situation for countries.

The approach is to compare and benchmark the countries in terms of the efficiency and effectiveness of their innovation system. The Global Innovation Index report’s input-to-output ratio and the global competitiveness report are used for the assessment.

The findings indicate that countries such as China, Switzerland and the USA have an efficient and effective innovation system. However, the innovation systems in countries such as Brazil and Zimbabwe are not only inefficient but also ineffective. The findings also indicate that the innovation systems of countries such as Iran, Armenia and Egypt are efficient but ineffective. Finally, the authors can name Australia, Qatar and Russia as countries with effective but inefficient innovation systems.

Assessment of national innovation system using efficiency and effectiveness performances is done for the first time at the global stage.

Over the last decade, investments in green energy companies have witnessed noticeable growth rates. However, the glacial pace of the world economic restoration due to COVID-19 pandemic placed a high degree of uncertainty over this market. Therefore, this study investigates the short- and long-term relationships between COVID-19 new cases and WilderHill New Energy Global Innovation Index (NEX) using daily data over the period from January 23, 2020 to February 1, 2023.

The authors utilize an autoregressive distributed lag bounds testing estimation technique.

The results show a significant positive impact of COVID-19 new cases on the returns of NEX index in the short run, whereas it has a significant negative impact in the long run. It is also found that the S&P Global Clean Energy Index has a significant positive impact on the returns of NEX index. Although oil has an influential effect on stock returns, the results show insignificant impact.

Governments have the chance to flip this trend by including investment in green energy in their economic growth stimulation policies. Governments should highlight the fundamental advantages of investing in this type of energy such as creating job vacancies while reducing emissions and promoting innovation.

First, as far as the authors are aware, the authors are the first to examine the effect of oil prices on clean energy stocks during COVID-19. Second, the authors contribute to studies on the relationship between oil prices and renewable energy. Third, the authors add to the emerging strand of literature on the impact of COVID-19 on various sectors of the economy. Fourth, the findings of the paper can add to the growing literature on sustainable development goals, in specific the papers related to energy sustainability.

The goal of the research is to analyze the university development trends in the national innovation system. The paper presents a review of the formation of innovative development strategies and the place of a university in them. The structure is based on the analysis of foreign trends of the transformation of universities and the examination of the efficiency of the interaction between the university, industry and the state. Russian experience in the transformation of universities is presented.

Research methodologies include methods of statistical and comparative analysis and synthesis. The information analysis base of the research is composed of the reports of the World Intellectual Property Organization at year-end 2019, as well as global comparative assessments of the status and development of innovation activities by the Global Innovation Index and Global Competitiveness Index, which are calculated according to the methodology of the World Economic Forum and others.

In the course of research, the authors put forward a new model of universities within the framework of the national innovation system, which is based on the “triple helix model of innovation” implemented by universities, industry and the state. The logic and structure of the research are set forth in the following way. First, a review of the global practice of the formation and implementation of state innovation policy is given, with the university being a key link, the foreign experience in the transformation of universities is analyzed and the efficiency of the interaction between the university, industry and the state is examined. Furthermore, consideration is given to the Russian experience in the transformation of universities. In conclusion, the main findings of the research are presented.

Results testify that goals and objectives that can be solved by achieving indicators in the world rankings are important for improving competitiveness of education, but they are only efficient if they conform to management decisions that are taken for achieving them and coincide with strategic goals and directions that should be implemented within the framework of the national innovation and academic system.

Research hypothesis is as follows: modern age is characterized by the rapid development of digital technologies and globalization processes, which transform technologies and cultural patterns into techniques and methods of working with information. Despite the fact that a university is the center for the development of society and culture, which serves as an axiological core, it is subject to the transformation, which is mainly manifested in instrumental changes and the expansion of the social procurement range. The modern educational system is yet to find a contemporary conceptual framework of a university that would satisfy the up-to-date requirements of the global information society in an age of digital revolution and dominate in the educational services market.