National Innovation Research Articles

EXPLORING INTELLECTUAL AND EDUCATIONAL MIGRATION IN KAZAKHSTAN: DOCUMENTARY ANALYSIS

Background: Addressing brain drain and fostering human capital development are critical for sustaining a nation's long-term economic growth, innovation capacity, and global competitiveness. Kazakhstan has faced significant brain drain, particularly following the dissolution of the Soviet Union, as many skilled professionals sought better opportunities abroad. Despite government efforts to retain talent, the country continues to experience a negative migration balance, with a substantial portion of emigrants being highly educated and skilled. This study examines the challenges posed by brain drain and evaluates Kazakhstan's current policy initiatives aimed at addressing intellectual migration and fostering human capital development. Methods: The study employs a qualitative research approach using documentary analysis to explore intellectual and educational migration in Kazakhstan. The methodology involves systematically reviewing key government policy documents and reports, such as the Concept of Migration Policy of the Republic of Kazakhstan for 2023-2027. Documentary analysis was selected for its ability to provide in-depth insights into government initiatives and policy frameworks, enabling an assessment of their long-term effectiveness. Content analysis was applied to identify recurring themes and policy shifts related to human capital development and brain drain. Results and conclusions: The findings highlight the government’s efforts to attract skilled professionals, retain domestic talent, and foster international collaboration through streamlined visa processes, academic partnerships, and the establishment of international branch campuses. The analysis highlights educational immigration as a core component of Kazakhstan's migration strategy, shaped by regional factors and geopolitical considerations. Despite these efforts, the study identifies ongoing challenges in creating attractive domestic career opportunities and competitive research environments, which are crucial for the longterm retention of talent. By leveraging international best practices and fostering collaboration between the government, academia, and industry, Kazakhstan can enhance its position in the global knowledge economy while addressing demographic and economic challenges. The paper concludes by discussing the potential policy implications and recommendations for sustaining Kazakhstan’s human capital development in the context of global intellectual migration trends.

STI or DUI modes of innovation: Evidence from comprehensive evaluation of four cities in China

The Science and Technology Innovation Center holds a pivotal position in the national science and technology innovation system, and a scientific evaluation of the “Sci-tech Innovation Center” will guide its construction direction. This study found the advantages and disadvantages of the four cities through comparison; Hence improvement suggestions were proposed for the weaknesses of the four cities. There are two main paths for the government to drive technology innovation: STI (Science and Technology Innovation) mode and DUI (Doing, Using, Interacting) mode. With the aid of the evaluation index system of the Sci-tech Innovation Center, this article uses fuzzy sets, rough sets and fuzzy dynamic clustering methods to comprehensively evaluate the effects of driving technology innovation in the four cities of Beijing, Shanghai, Shenzhen and Guangzhou. The results found that Shenzhen has a significant effect in DUI, and Beijing has a significant effect in STI. The choice of path is related to the abundance of innovation resources.

Antecedent and Consequence of Innovation Output: Evidence from Thailand

The study aims to examine the impact of research and development (R&D) investment (the antecedent) on competitive advantage (the consequence) for the innovation output of private firms in Thailand. The population of this study includes all private Thai firms which have registered with the Office of National Higher Education Science Research and Innovation Policy Council. Path analysis and factor confirmation, including correlation matrix, are used to test the mediator effect of innovation output on the relationship between R&D investment and firm performance competitive advantage. The research data are tested and analyzed by the structure equation model. The results reveal that R&D investment was not found to directly influence competitive advantage, while R&D investment indirectly affects competitive advantage through innovation output. The findings of this study demonstrate that innovative output plays a mediating role between R&D investment and competitive advantage. In addition, dynamic capability theory can be used to explain the influences of R&D investment and innovation output on competitive advantage for private firms in Thailand.

Mapping the global regulatory terrain in digital banking: a longitudinal study across countries

Purpose This study aims to comprehensively understand the regulatory landscape and digital transformation (DT) within the banking sector, anchored in the theory of national innovation systems. Design/methodology/approach Using insights from a comprehensive literature review, an innovative framework is introduced to categorize regulators and digital banking attributes across 88 countries. The study uses k-means clustering to analyze the digital banking and regulatory status of 88 countries, tracing their evolution over two distinct timeframes. Findings The cross-country analysis spanning 2014 and 2022 reveals compelling trends in regulatory rankings and digital banking across diverse nations. These findings shed light on the dynamic interplay between regulatory environments and technological innovation. Originality/value This research contributes to knowledge by establishing a robust framework for understanding regulator dynamics in digital banking across a wide spectrum of countries. It offers valuable insights for academia, practitioners and policymakers by elucidating the complex relationship between the regulatory landscape and DT, shaping discourse and implications in this field, and informing strategic decision-making and policy formulation in the global financial landscape.

Artificial Intelligence and the Development of “Specialized, Refined, Unique, and Innovative” Small‐ and Medium‐Sized Enterprises

ABSTRACT“Specialized, Refined, Unique, and Innovative” (SRUI) enterprises are a crucial part of the national innovation system and play a significant role in enhancing national core competitiveness by leveraging strengths and addressing weaknesses. Given the limited quantitative analysis on the productivity of SRUI enterprises in the academic field, this paper constructs an enterprise‐level artificial intelligence index based on text analysis and machine learning. Using panel data from 2018 to 2022, we investigate the impact of artificial intelligence on the productivity of SRUI small‐ and medium‐sized enterprises (SMEs). The research findings indicate that (1) artificial intelligence significantly enhances the productivity of SRUI SMEs, and for each one standard deviation increase in artificial intelligence, the productivity level of SRUI enterprises will increase by 6.82%. (2) Mechanism tests reveal that artificial intelligence improves productivity by optimizing labor structure, improving labor resource allocation, stimulating endogenous motivation and innovation vitality within enterprises, and enhancing management level and investment efficiency. (3) Heterogeneity analysis indicates that at the regional level, artificial intelligence significantly boosts the productivity of enterprises with well‐developed network infrastructure and robust intellectual property protection systems. At the industry level, AI has a more pronounced effect on the productivity of technology‐intensive and competitive industries. Additionally, we also find that the impact of AI on productivity is more significant in enterprises with younger executive teams and executives with digital and intelligent education backgrounds. This study expands the research scope of productivity and provides valuable insights for the government to optimize digital economy policies and for enterprises to formulate digital innovation strategies.

The role of financial inclusion and technological innovation in stimulating environmental sustainability in the European countries: A new perspective based on load capacity factor

Given the alarming level of climate change, policymakers across the globe are seeking strategies to mitigate environmental pollution to achieve sustainable development. In this context, renewable energy and technological advancements have emerged as an effective way to lower pollution and attain sustainable development. This study evaluates the effect of financial inclusion, technological innovation, and renewable energy on the load capacity factor (LCF) in European countries from 2004 to 2018. LCF is considered the most comprehensive indicator of ecological sustainability, combining both the biocapacity factor and ecological footprint. Hence, the present work fills the literature gap by exploring, for the first time, the effect of financial inclusion on the LCF. Applying the advanced Method of Moment Quantile Regression (MMQR), the study demonstrates that technological innovation and economic growth have adverse effects on LCF while renewable energy and financial inclusion promote LCF. The study indicates that technological innovation and economic growth undermine ecological excellence in European nations while green energy and financial inclusion enhance it. Moreover, the findings of the causality analysis reveal a causal association between financial inclusion, renewable energy, and LCF. Our study recommends prioritizing financial inclusion alongside investments in renewable energy to enhance ecological sustainability.

Unlocking Enterprise Innovation: The Impact of Big Data Analytics and External Network Relationships

Abstract. Innovation drives modern industry and enhances enterprise competitiveness. Despite China's progress, evident by its 14th position in the Global Innovation Index 2020, a gap remains compared to Western developed nations. Enterprises are key to national innovation, especially in the rapidly evolving tech landscape. Big data presents new opportunities and challenges for innovation. This study explores how enterprises can leverage big data to improve innovation outcomes, identifying factors that influence this process. Grounded in resource-based and social network theories, the research employs questionnaires to assess big data analytic capabilities, external network relationships, and innovation performance. Using hierarchical regression analysis and reliability tests, findings reveal that foundational and management capabilities of big data significantly impact innovation, while technical capabilities do not. External network relationships partially mediate this effect. The results offer insights for managers on utilizing big data and strengthening external ties to drive innovation and competitive advantage.

National innovation policy, entrepreneurial activity, managerial ability and green innovation of agribusinesses

National innovation policy, entrepreneurial activity, managerial ability and green innovation of agribusinesses

Pathways to innovation: How city pilots leverage digital technology to reduce carbon emissions

Technological innovation through various pathways is crucial for achieving carbon neutrality and peak carbon emissions. The Innovative City Pilot (ICP) initiative, a key effort to promote national innovation, has garnered increasing attention. However, most studies have not examined the effects of ICP on carbon emissions through diverse digital technologies. Using city-level data from 2000 to 2022, we constructed a staggered difference-in-differences (DID) model to analyze changes in carbon emissions before and after the ICP period in both ICP and non-ICP areas. The carbon emission reduction pathway of the ICP influences various forms of digital technology, which then empower local green product innovation, market-oriented innovation, and industrial innovation. The impact of ICP emission reduction through digital technology is more significant in western, first- and second-tier, sub-provincial, populous, and coastal cities. In conclusion, policymakers should tailor policies according to the action pathways of digital technology and specific city characteristics. We outline the specific pathways of green product innovation, market-oriented innovation, and industrial innovation enabled by digital technologies and provide policy recommendations for the sustainable development of China.

The Impact of Carbon Awareness, Country-Governance, and Innovation on the Cost of Equity: Evidence from Oil and Gas Firms

The present paper explores the impact of carbon awareness on the cost of equity (COE) with a keen focus on the influence of country governance and innovation factors. Drawing on Bloomberg data spanning from 2011 to 2022, our analysis encompasses 263 firms within the Oil and Gas sector across 50 countries, culminating in 2,122 annual observations. Through the employment of a comprehensive suite of regression analyses—including median regression, M-estimator regression, and MM-estimator regression, alongside Firm-Fixed Effect and Reverse Causality Models—we uncover a consistently negative association between carbon awareness and COE. Our investigation further assesses the effect of country-level governance on COE, revealing a universally negative correlation. Among governance indicators, regulatory quality emerges as a particularly significant factor. Similarly, we observe a consistent negative relationship between country-level innovation and COE, reinforcing the significance of national innovation capabilities in financial performance metrics. These findings remain robust across a range of tests, underscoring their reliability and relevance. The study is important for policymakers, investors, managers, and strategic environmentalists.

Role of innovation culture and post-Soviet mindset as factors determining speed of economic development in a small open economy: Case of Latvia

This research seeks to identify the value of a few common factors determining the speed of economic growth in Baltic states and analyzes their impact in detail on Latvia’s lagging. Latvia’s economic starting point after regaining independence because of the collapse of the Soviet Union was at least comparable to its neighbors. Still, after the implementation of liberal reforms towards a free market’ economy and 20 years of operation as an EU full member, Latvia is lagging in growth, prosperity, and innovation. Within the analysis, this scientific paper pays special attention to the three less discussed factors, namely, the impact of post-Soviet mind-set effects as a part of local innovation culture, lasting since regaining independence in 1991; the importance of the availability of talent pull, its density, diversity, and accessibility; and readiness and capability to capture external knowledge and technology adoption. The overall approach is the systemic assessment of the national innovation system and/or innovation ecosystem, trying to understand the differences between these two models. Research is performed by analysis of the performance of the local innovation ecosystem in connection with export- and Foreign Direct Investment (FDI) policies. The authors present a novel method for visually representing economic growth and its application in analyzing process development within transitional economic nations. The study uses an analytical and synthetical literature review. It offers a new GDP data visualization method useful for monitoring economic development and forecasting potential economic crises—the outcomes from aggregative literature analysis in a consolidated concept are provided for required talent policy proposals. The post-Soviet mindset is seen as a heritage and devious underdog that has left incredibly diverse consequences on today’s society, power structures, economic growth potential, and the emergence of healthy, well-managed, and sustainable innovation ecosystems. The post-Soviet mindset is a seemingly hidden and, at the same time, an intriguing factor that has a significant impact on the desire to make and implement the right decisions related to innovation, education, and other policies promoting business development. The key outcome of the article is that sociocultural aspects and differences in innovation culture led to a slow-down of Latvia’s economic growth compared to Estonia’s and Lithuania’s slightly more successful economic reforms.

Guangdong’s New R&D Institutes

In pursuit of technological development, China has created new organizations to promote innovation. This brief examines New Research and Development Institutes (NRDIs), which are designed to foster knowledge transfer to industry. NRDIs were pioneered in Guangdong province in the 1990s, and have gained prominence in China’s national science, technology, and innovation policies since the 13th Five-Year Plan (2016–2020). NRDIs are defined by their market orientation and extremely flexible organizational form. They work by establishing “innovation platforms” with local governments and private knowledge actors to carry out research and development (R&D), commercialize scientific and technological achievements, incubate local technology industries, and cultivate high-end talent. NRDIs have been instrumental to regional development in Guangdong, and especially Shenzhen, where they have succeeded in attracting talent from outside the region. NRDIs have important policy implications for international competition for talent. Understanding NRDIs is crucial for other countries that want to improve their own inter-regional innovation resources and respond to the challenge of China’s drive to attract global talent and knowledge resources.

3.H. Scientific session: Advancing Health and Care System Transformation with the THCS Partnership

Abstract Health and care systems across Europe are facing similar challenges. These include demographic and epidemiological changes, such as growing ageing population and increasing incidence and prevalence of chronic diseases, in addition to diminishing of budgets. These challenges can be met by innovative, evidence-based solutions, the research and development of which can be supported by several ways. The European Partnership on Transforming Health and Care Systems (THCS) is a co-fund action within the Horizon Europe Programme which supports coordinated national and regional research and innovation programs, alongside capacity building, networking, dissemination, and other activities crucial for health and care systems’ transformation. The core of THCS’s activities lies in funding research and innovation projects through transnational calls, engaging numerous research and innovation funding organisations. In addition to the funding activities, THCS develops several means for supporting the transformation towards sustainable, efficient, resilient, inclusive, innovative, and people-centred health and care systems accessible to all. This workshop aims at discussing on the trends and needs for research, development and innovation and capacity building in the European health and care systems, on leveraging research outcomes for evidence-based strategies and translating research into practice, on transferring and implementing innovative health and care practices, on fostering ecosystems, and on facilitating knowledge exchange and sharing. In the workshop the different means of the THCS partnership to support the transformation of health and care systems are presented and their further development discussed. The workshop consists of five presentations followed by a general discussion. Key messages • Participants will learn about the different means of the THCS partnership to support the transformation of health and care systems. • Participants can contribute to the further development of the THCS activities by sharing their reflections, opinions, and viewpoints.

The Impact of Changes in China's Population Structure on Consumption Patterns

Consumer spending is the key engine driving economic growth in China. However, in recent years, the overall consumption pattern in China has been affected by domestic epidemics, leading to an increase in unemployment rates among residents and a decrease in consumer willingness. As a result, the annual changes in final consumption expenditure have tended to stabilize, with almost no upward trend. Consequently, numerous studies have emerged based on the current consumption situation in China, providing recommendations to promote consumption. This paper, using data from the World Bank and China's National Statistical Yearbook, conducts research on the impact of demographic changes on consumption structure and proposes relevant suggestions to boost consumption in China. Researching the development of China's population structure reveals several notable trends. These include a decrease in the working-age population accompanied by a significant aging trend, improvements in population quality due to enhanced human capital, and a noticeable trend towards urbanization and increased population mobility. Therefore, this paper provides a series of recommendations, encourages national policies and corporate innovations that promote consumption, and offers solutions to potential issues arising from changes in population structure.

What Affects Durable National Innovation Performance? An Analysis in the Context of the COVID-19 Pandemic

What Affects Durable National Innovation Performance? An Analysis in the Context of the COVID-19 Pandemic

Examining the role of national governance capacity in building the global low-carbon agricultural supply chains

The majority of related research has traditionally focused on examining the individual influences of national governance capacity and technological innovation on carbon emissions and economic performance, neglecting the effects and influence mechanisms on carbon efficiency within agricultural supply chains, which is not conducive to advancing a low-carbon transition that includes agricultural concerns. This study addresses these gaps by investigating the correlation between national governance capacity (considering voice and accountability, political stability and absence of violence/terrorism, government effectiveness, regulatory quality, rule of law and corruption control) and agricultural supply chain carbon efficiency and investigating the influence mechanism and mediating role of technological innovation. The relevant findings are twofold. 1) The impact of national governance capacity and its components on agricultural carbon efficiency follows an inverted U-shaped curve. 2) Technological innovation can act as a mediator between national governance capacity and select factors of voice and accountability, government effectiveness and regulatory quality to enhance agricultural supply chain carbon efficiency. The findings offer valuable insights for policymakers and managers in agricultural supply chain enterprises seeking to transition towards low-carbon agriculture.

Awareness and perception on the use of smartphone applications for crop protection among undergraduate students in Southwestern Nigeria

Mobile applications in crop protection especially for speedy pest diagnosis, monitoring, and management are increasingly gaining global attention and support. An understanding of the awareness and perception of the youths, particularly students in tertiary institutions (who are heavy users of smartphones), on the use of smartphone applications for crop protection, is crucial for sharpening their orientations towards embracing the digital ecosystem in agriculture. The imperativeness is evident in the ongoing government drive towards promoting students’ engagement in digital agriculture as accommodated in the National Agricultural Technology and Innovation Policy (2022–2027). Consequently, this study investigated awareness and perception of mobile phone applications among crop and agricultural extension-related final-year students in selected Universities in Southwest Nigeria. A multistage sampling procedure was used in selecting 407 students. Data were obtained with the aid of questionnaires. Data were summarized using descriptive statistics such as frequency counts, percentages, mean and standard deviation using SPSS software. Findings show that very few (less than 8%) of the respondents were aware of the usage of specific smart/android phone applications for pest identification, disease diagnosis, and weather forecasting. Less than 4% ever used smart/android phones for pest identification, crop protection, and information sourcing on disease diagnosis and management. However, their perception of the need for pest and disease diagnosis as a foundation step to enhance crop protection (4.65 points on a scale of 5), and readiness to use android/smartphone applications for this purpose (MS = 4.45) was positive. There are enormous implications for increased awareness and knowledge sharing on the use of android/smartphone applications for crop protection and other interventions to promote digital agriculture among students in Nigeria.

The drivers and barriers influencing the commercialization of innovations at research and innovation institutions in Uganda: a systemic, infrastructural, and financial approach

Research and innovation (R&I) institutions must commercialize their innovations to remain competitive in a knowledge-based economy. While R&I institutions in Uganda have the potential to drive socioeconomic development, a clear understanding of the commercialization pathway is lacking. This study aims to bridge this gap by analyzing the systemic, infrastructural, and financial factors that drive and hinder the commercialization of innovations at R&I institutions in Uganda. This study offers the first comprehensive examination of the systemic, infrastructural, and financial dimensions influencing innovation commercialization within Uganda's R&I ecosystem, presenting new empirical evidence on the prioritized barriers and drivers as perceived by key stakeholders. Employing a mixed-method approach, this study uniquely combines quantitative surveys with qualitative case studies and key informant interviews, enabling a nuanced understanding of the multifaceted drivers of and barriers to innovation commercialization in Uganda. The study employed the Delphi technique to identify consensus among key informants. The findings highlight the urgent barriers to address, including fragmented R&I ecosystems, inadequate support infrastructure, such as technology transfer offices, and significant gaps in innovation financing. These issues underscore the urgent need for targeted policy interventions. Based on our findings, we recommend the establishment of a national innovation fund, enhancement of public private partnerships for R&D infrastructure development, and formulation of a cohesive national policy framework to streamline commercialization processes at R&I institutions. This study provides policymakers with a data-driven foundation to craft targeted interventions aimed at removing the identified barriers, thereby catalyzing the commercialization of innovations in Uganda's R&I institutions.

Fine Practice and Exploration of Scientific Research Management in Universities Under the New Situation -- Take Hainan Vocational University of Science and Technology as an example

With the rapid development of science and technology and the country s increasing attention to scientific research, the management of scientific research in universities is facing new challenges and requirements. This paper aims to explore the new situation of scientific research management practice and exploration, in Hainan vocational university of science and technology, for example, through the analysis of the current research management status and problems, the necessity of fine management, implementation strategies and concrete practice measures, in order to improve the efficiency and quality of scientific research management in colleges and universities, promote the transformation and application of scientific research achievements, to make greater contribution to national scientific and technological innovation and economic development.

Analysis of the impact of mechanisms of integration of university science into the regional innovation system on the spatial development of the Voronezh region

Relevance. University science is the basis for the progressive development of the regions of the Russian Federation, providing new knowledge and ideas, turning knowledge into technology and accelerated development of the cultural environment. The introduction of scientific research into the educational process is necessary and important conditions for maintaining the high professional level of teachers, the formation of professional competencies, and advanced training of future specialists. In the last few years, the main economic processes have demonstrated positive dynamics, which indicates the effectiveness of the implemented strategy of socio-economic development of the region, as well as an effective policy of spatial development of the territory are key factors in achieving a positive trend in the development of the region. Minister of Science and Higher Education V.N. Falkov in April 2024 He stated the need to transform the higher education system, focusing on specialized higher education based on an interdisciplinary approach that will more effectively integrate university science into regional spatial development and the national innovation system.The purpose of the study is to determine the mechanisms of integration of university science in the spatial development of the Voronezh region through the innovation system.Objectives: to analyze the impact of the mechanisms of integration of university science on the trends of spatial development; to analyze scientific and technological development; to formulate the main conclusions about university science as part of the socio-economic system of the territory.Methodology. The general scientific methods of logical analysis, method of desk research, method of systematization, descriptive method were used in the study. Results. The study revealed the key factors that contributed to the positive dynamics of the economy of the Voronezh region and considered the mechanisms of integration of university science into the regional innovation system.Conclusions. In the realities of scientific and technological development there is a need to improve the methods of integration of university science into the regional innovation system, and recommendations related to the optimization of spatial development of the Voronezh region in order to improve the quality and attractiveness of university science on the basis of innovative aspects functioning in the region have been proposed.