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The efficiency of technological innovation plays a crucial role in the high-quality development of China’s high-tech industry. In this paper, 30 provinces in China are selected as research samples, and the three-stage DEA model and Malmquist productivity index are used to conduct static and dynamic research on the technological innovation efficiency of high-tech industries in each province during the period of the “12th Five-Year Plan” to the “14th Five-Year Plan”. At the same time, the grey prediction model and Tobit regression model are used to predict the technological innovation efficiency and analyse its influencing factors. The research results show that: in terms of static and dynamic analysis, after excluding the influence of environmental variables and random perturbations, comprehensive efficiency and scale efficiency are underestimated, while pure technical efficiency does not change, but the decline of scale efficiency becomes the primary reason restricting the improvement of technological innovation efficiency of China’s hi-tech industries; through the dynamic analysis of the Malmquist index, it can be seen that the improvement of technological efficiency of China’s hi-tech industries It is mainly reflected in pure technical efficiency, but the decrease of technical efficiency affects the improvement of technical innovation efficiency of Chinese high-tech industry. In the forecast of technological innovation efficiency, the input and output indicators of technological innovation efficiency of China’s high-tech industry in the period of 2023–2027 have a rising trend year by year, and among the nine indicators, the average annual growth of new product development expenditure is the fastest. In terms of influencing factors, the level of financial services and higher education significantly influence, while the degree of openness to the outside world and the degree of government expenditure do not have a significant impact. [ABSTRACT FROM AUTHOR]

New-Quality Productive Forces can drive the high-quality development of regional high-tech industries. As technological innovation and industrial upgrading become key drivers of economic growth, regional high-tech industries face both opportunities and challenges in achieving sustainable development. New-Quality Productive Forces, characterized by advanced technology, green production, and intelligent systems, offer a transformative approach to enhancing industrial competitiveness, fostering innovation, and promoting economic transformation. This study analyzes how the integration of New-Quality Productive Forces can empower regional high-tech industries across three key dimensions: technological innovation, industrial transformation, and sustainable development. By leveraging these forces, regions can achieve more efficient resource allocation, greater environmental sustainability, and improved economic resilience. The paper concludes with policy recommendations for local governments and businesses to effectively harness New-Quality Productive Forces to accelerate the high-quality development of regional high-tech industries. [ABSTRACT FROM AUTHOR]

Employee turnover is an unavoidable part of business development, costing important human resources and impeding long-term growth and strategy implementation. To maintain a steady workforce, businesses must prioritize understanding and addressing this issue. The objective of this study is to examine the impact of leadership style, career development, and work stress on turnover intention in the high-tech industry and to investigate the moderating role of psychological contracts in these relationships. The sample consists of 380 employees of the R&D departments in high-tech companies in Shenzhen, Guangdong province, China, mainly engaged in the electronic information, advanced manufacturing, and automation sectors. The data were gathered via an online questionnaire, and the Smart-PLS approach was used to analyze the data. The empirical findings indicate that transactional leadership, transformational leadership, and career development are significantly and negatively related to turnover intention, whereas work stress has a significant positive effect. The psychological contract moderates the relationship between career development and turnover intention; the higher the psychological contract, the stronger the relationship. In addition, the psychological contract moderates the relationship between work stress and turnover intention, whereby the higher the psychological contract, the weaker the relationship. However, no empirical evidence suggests that the psychological contract moderates the relationship between leadership styles and turnover intention. The R² value is 0.485, indicating moderate explanatory power, and with a GOF index of 0.492, the model also demonstrates a good fit with the data. This study offers considerable implications for both theoretical and practical applications.

In the highly competitive environment of the high-tech industry, leadership roles are often filled with numerous challenges and stressors. Success in the workforce requires a combination of high emotional intelligence and a connection to workplace spirituality. This study aimed to compare demographic differences among high-tech leaders regarding emotional intelligence, workplace spirituality, and career success. It also sought to examine the relationships and effects of emotional intelligence and workplace spirituality on career success, as well as the moderating role of workplace spirituality in these relationships. A survey was conducted with 139 leaders from various high-tech companies in Taiwan. The results showed that male leaders demonstrated higher levels of self-awareness and self-motivation in emotional intelligence, while leaders with higher education levels exhibited greater self-awareness and empathy. Additionally, both emotional intelligence and workplace spirituality were significant predictors of career success. Notably, workplace spirituality moderated the relationship between emotional intelligence and career success. The implications of this study highlight the importance of enhancing emotional intelligence and workplace spirituality to foster leaders' career success and gain a competitive advantage in the high-tech industry. [ABSTRACT FROM AUTHOR]

The high-tech industry plays an important role in promoting the upgrading of industrial structures. Its innovation activities show an obvious two-system structure. To promote co-development and improve industrial competitiveness, it is essential to examine the efficiency and measure the coupling coordination degree between two systems. With this regard, we first measure the relative efficiency using nonparametric technologies under different specifications of each system. Second, the coupling degree and coupling coordination degree between two systems have been calculated. Finally, comparative analyses of efficiency and coupling coordination degrees have been analysed from the perspective of the regional high-tech industry. Empirical results indicate the low overall technical efficiency in the regional high-tech industry is caused by low-scale efficiency under nonconvex. However, it is caused by low pure technical efficiency under convex. Moreover, the average efficiency of technology development in regional high-tech industry is higher than that of technology transformation for convex and nonconvex cases. Furthermore, the degree of coupling coordination of the two systems of the high-tech industry in all regions is moderate and above coordination. The empirical results can provide useful suggestions for policymakers to create an environment conducive to industrial development. [ABSTRACT FROM AUTHOR]

Dominant technology in high-tech industries refers to the technology that can break the stability and balance of the original technology system within a certain period and is widely adopted under the interaction of technological possibility and market choice. It is of theoretical and practical necessity to explore dominant technology's formation under overlapping niche. Thus, based on niche theory and competitive game theory, we established a competitive game model of dominant technology formation, and dynamically simulated the shape of dominant technology. This paper uses 'the proportion of user adoption' to measure dominant technology market share in high-tech industry and maintains that obtaining over 50% confers an obvious competitive advantage. Therefore, we draw three main conclusions: (1) Dominant technology formation in high-tech industry is influenced by R&D input, adopter preferences, adoption returns and the decision-making cost; (2) dominant technology formation under niche overlap can be described as a continuous accumulation and complex dynamic process; and (3) The main goal in the new technology competitive game is to obtain a larger market share, and the interaction in this game, which has two possible results, is complex, dynamic, diverse, and nonlinear. [ABSTRACT FROM AUTHOR]

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This study aims to investigate the influence of remote work on team effectiveness in high-tech enterprises in Jordan, specifically focusing on knowledge management as a mediator. The study utilized a quantitative research design, with 254 participants actively participating in remote work settings across high-tech firms in Jordan. The sample was chosen based on the participants’ personal experiences with remote work arrangements, which provide valuable insights into the interplay between remote working conditions and team dynamics. The paper designed a structured questionnaire to elicit responses from employees about the variables under investigation. The survey data were analyzed using SmartPLS4 to validate the theoretical framework and research hypotheses. The results show a significant positive relationship between remote work and team effectiveness, as well as an improvement in knowledge management practices under telework conditions. Knowledge management practices refer to communicative activities regarding the systematic collection, organization, sharing, and application of knowledge resources. The importance of effective knowledge management practices is realized in remote settings, primarily through increased team efficiency and productivity. These results are statistically significant (p = 0.000), which stresses the importance of effective remote teamwork with regard to knowledge management.

To address the challenges posed by the living environment and promote sustainable development, the Chinese government implemented a new environmental protection law in 2015. Based on the provincial panel data of 30 provinces, autonomous regions, and municipalities in China from 2010 to 2019, the spatial Durbin model is used to investigate the impact of environmental regulation on the employment effect of high-tech industries, and the spatial effect decomposition is used to further clarify the specific impact of environmental regulation on the employment of high-tech industries. The research finds that: Firstly, at the present stage, environmental regulation in China remains at a relatively low level. The employment generation effect of environmental regulation on high-tech industries is insufficient to offset the employment loss effect. Strengthening environmental regulation in the short term is unfavorable for employment in high-tech industries. Secondly, adjacent regions adopt a strategy of competitive differential environmental regulation between governments. The local government relaxes environmental regulation to increase employment, while the neighboring government strengthens environmental regulation to promote industrial upgrading. This approach benefits local employment in high-tech industries in the short term but hinders the sustainable development of high-tech industries. Thirdly, environmental regulation exhibits significant negative spatial spillover effects. Strengthening local environmental regulation will suppress the growth of high-tech industry employment in neighboring areas, and the spatial spillover effect of environmental regulation is primarily influenced by geographic location. [ABSTRACT FROM AUTHOR]

Government intervention in industrial development is prevalent across both developed and developing nations. This paper evaluates the efficacy of Chinese government intervention in high-tech industries in fostering economic development. Methodologically, we assess government intervention's effectiveness by examining the heterogeneity of agglomeration effects in high-tech industries across various locations before and after policy interventions. Our study reveals several key findings: (1) Overall, high-tech industry agglomeration yields positive intra-industry and local spillover effects. (2) Agglomeration effects exhibit significant spatial and temporal variations. Before 2013, government intervention was limited, and high-tech industries predominantly clustered in the eastern region due to market forces, resulting in significantly positive agglomeration effects. However, post-2013, government intervention became evident, particularly driven by competitive dynamics in less-developed regions and central government support for these areas. Consequently, high-tech industries in these regions generated positive intra-industry and local spillover effects, leading to a shift in the distribution of high-tech industry hubs towards the central and western regions. Nonetheless, agglomeration effects diminished in these regions, signaling distortions. (3) Not all high-tech industries exert positive impacts; for instance, the ICT manufacturing sector, characterized by general technology, demonstrates the most pronounced effects, whereas the aerospace manufacturing industry shows relatively weaker agglomeration effects. (4) High-tech industries primarily enhance industrial profitability by refining intermediate inputs and foster local total factor productivity and green total factor productivity through knowledge spillovers. Consequently, policy interventions should aim to effectively facilitate intermediary mechanisms. These findings offer valuable insights into how governments can judiciously intervene in high-tech industries to promote sustainable economic development. [ABSTRACT FROM AUTHOR]

Climate change is destructive to both economic activity and life subsistence. The rising CO2 emission is continuously degrading the environment and altering the characteristics of multiple hazards that can adversely affect human life. Transition to energy sources and industrial processes can maximize the benefits of low transitioning carbon emission technologies while promoting equality and inclusivity. In this pursuit, the response of CO2 emission is provoked by renewable energy consumption, FDI, natural resource, interaction term of FDI and NR, medium–high-tech industry, and economic growth on APEC countries for the period 1996–2020. To draw clear and conclusive information about outcome variables at different quantiles, study applied panel quantiles regression with an optimization method, such as Markov chain Monte Carlo. Natural resource consumption, high-tech industry, and economic growth have a positive, heterogeneous, and significant effect on environmental degradation in all quantiles. It is worth noting that HT deteriorates the environment in APEC countries, generally technological progress increases energy efficiency and reduces emissions. But it confirms the existence of a cost effect, which increases the use of conventional low-cost products over high-tech products. FDI has a positive and significant effect in all quantiles except the first quantile and confirms the presence of PHH. The interaction term (FDI*NRR) and REC effects are negative and significant in all quantiles. The negative effects of interaction term revealed that domestic industry is the cause of over-consumption and emission of NR. The use of clean and green energy consumption is crucial for sustainable development. Policymakers need to design mechanism that promotes steward policies for domestic industry to discourage the use of NR, enhance local–international partnerships in low emission and energy-efficient technologies, and promote the use of renewable energy. These policies will help to achieve certain SDG's goals such as (SDG-7: clean energy sources), (SDG-8: sustainable development goal); and (SDG-9: climate action). [ABSTRACT FROM AUTHOR]

The article discusses development of a project management information subsystem for enterprises of high-tech industries. The problem is formulated as it applies to enterprises in conditions of necessary import substitution of software, conceptual solutions are proposed, and a description of information support for software problem is provided. [ABSTRACT FROM AUTHOR]

Introduction. The competitiveness of industry in modern conditions is carried out through scientific and technological development. High-tech companies play a key role in solving the main tasks of increasing the competitiveness of Russian economy in accordance with global challenges and priorities of Russia’s scientific and technological development. Theoretical analysis. High-tech production, Industry 4.0 technologies and technological entrepreneurship in modern economy are the main actors in achieving technological sovereignty, the transition to economic growth and technological support for the sustainable development of Russian production systems. The article examines the role of technological entrepreneurship in the transition of industrial enterprises to Industry 4.0 technologies. Empirical analysis. An innovative development dynamics analysis in Russia and foreign countries is carried out, a startup studio is considered as a tool for the development of technological entrepreneurship, as well as the practice of its implementation in Russia and the USA. Results. Based on the results of the study, a number of proposals for the development of technological entrepreneurship in the small and medium-sized enterprise industry sector were formulated and justified.

The debate about the efficacy of mergers and acquisitions as a growth strategy in terms of ex-post value creation has been developing for decades. This paper aims to create an artificial neural network that examines trends in the financials and marks the potential sources of value creation in the high-tech industry mergers between 2011 and 2021. The findings demonstrate that ANN can be implemented as a highly efficient model for analyzing complex financial events due to its flexibility and lack of prior assumptions about the data. [ABSTRACT FROM AUTHOR]

The physical attractiveness stereotype maintains that what is beautiful is good. Does this also apply to Chief Executive Officers (CEOs) and influence their compensation? There are numerous debates on CEO compensation, and scholars have long been interested in understanding the factors that impact CEO compensation. Of the empirical studies investigating the antecedents of CEO compensation, little attention has been paid to CEO facial attractiveness. Drawing mainly from the physical attractiveness stereotype, we argue that CEO attractiveness increases CEO compensation, and the effect becomes stronger when the CEO has worked as a CEO in other firms, but weaker when the CEO is female or works for a high‐technology firm. We tested our hypotheses by coding facial attractiveness for all CEOs in S&P 500 firms over 10 years (861 CEOs and 4,395 firm‐year observations). Results partly support our predictions and show that the effect of CEO facial attractiveness on compensation is not only robust but also economically significant. Moderating effects were found using prior CEO experience and high tech industry as moderators. However, we found no moderating effect of CEO gender on the relationship between CEO facial attractiveness and compensation. This study suggests that CEO compensation is not an entirely rational process, and compensation committees appear to be biased in favor of beautiful individuals. [ABSTRACT FROM AUTHOR]

Today's competitive advantage is built through sustainability. Regional competitiveness is undoubtedly one of the most important components for achieving sustainability of development at the local level. The analysis of key factors and their correlations, aimed at gauging regional competitiveness, yields valuable insights into the multifaceted elements that impact the growth and advancement of underprivileged regions. However, a crucial question remains: What precisely are the factors that form the foundation for assessing and measuring regional competitiveness? The literature review and analysis initially identified the ten most frequently mentioned factors for measuring regional competitiveness. The overarching aim of the research is the understanding of the ten main determining factors of regional competitiveness and the extraction of ten propositions based on those ten factors and exploring the relationship between various factors and regional competitiveness. This study's time frame was from August 2023 to January 2024. In this research, our aim was to undertake a traditional literature review, concentrating on the context of doing a more traditional and critical literature review rather than a systematic literature review. We assess and evaluate published research spanning the last five years (2018–2023); we have identified and emphasized ten central and widely published factors that span various domains, including (1) economy, (2) labor market, (3) poverty and social inclusion, (4) healthcare, (5) educational infrastructure, (6) environmental considerations, (7) transportation infrastructure, (8) science and technology, (9) high-tech industries, and (10) innovation. Our main findings on these ten reviewed factors indicate the following. (a) The economy factor should be expanded to include education, healthcare, and environmental sustainability parameters, while (b) there is a need to address youth employment differences in the labor market. (c) Collaborative, multidimensional approaches are important, together with improving health infrastructures and services, to improve poverty and social exclusion. (d) Investments on education and innovation are required to improve prosperity and competitiveness, as are more informed policies and collaborative actions for a greener, healthier, and more sustainable future, and finally, (f) well-planned investments in transportation, the essential link between R&D, innovation, and economic progress, as well as additional high-tech industry development and innovative actions should be taken for permanently sustainable and economic growth of the regions. Overall, the research highlights how economic, social, and environmental factors intertwine to shape successful societies, forming a fundamental understanding of regional competitiveness. The research underscores the interconnectedness of economic, social, and environmental factors in shaping prosperous societies, providing a foundational understanding of regional competitiveness. [ABSTRACT FROM AUTHOR]

In this paper, a multi-period difference-in-difference model is constructed to investigate the impact of network infrastructure on enterprise digital transformation. The results show that network infrastructure has effectively promoted the digital transformation of enterprises. Meanwhile, as the scale of network infrastructure construction expands, the role of network infrastructure in promoting enterprise digital transformation will be enhanced. Based on the mechanism analysis, network infrastructure promotes enterprise digital transformation through two channels: easing corporate financing constraints and improving core technical capabilities. Furthermore, the role of network infrastructure in enterprise digital transformation is not invariable, the effect is more pronounced in non-state-owned enterprises, growth enterprises, manufacturing enterprises, and enterprises located in developed cities. [ABSTRACT FROM AUTHOR]

When using Data Envelopment Analysis (DEA) to evaluate the efficiency of a high-tech industrial system, it is necessary to consider the operating process in each period and the dynamic interdependence between periods of the system. Meanwhile, the shortcomings of the DEA self-evaluation mode cannot be ignored. However, few studies deal with these three problems in a unified framework. Therefore, this paper improves the DEA game cross-efficiency model to the dynamic network DEA game cross-efficiency model to evaluate the efficiencies of high-tech industries in 27 provincial-level regions of China from 2011 to 2015. The main evaluation results are as follows. Regarding overall efficiency, China’s high-tech industry still has approximately 45% room for improvement, and the development of adjacent regions is unbalanced. There are 18 regions with low Research and Development (R&D) efficiencies and 8 with low commercialization efficiencies. From a national perspective, R&D efficiency displays an inverted U-shaped trend, commercialization efficiency shows a U-shaped trend, and overall efficiency increases slightly during the study period. In addition, R&D efficiency has a greater impact on overall efficiency than commercialization efficiency does. The reasons are analyzed, and recommendations are provided based on the evaluation results to improve the efficiency of China’s high-tech industry. [ABSTRACT FROM AUTHOR]

This study investigates the pivotal role of technological innovation in enhancing the export competitiveness of high-tech products in China, analyzing its interplay with industrial upgrading. Theoretically, it contributes to the understanding of how technological innovation affects high-tech product markets, offering a novel product-centric perspective distinct from traditional industry-focused views. Set against China's shift toward a dual circulation development paradigm, the research utilizes a panel regression model to analyze data from 30 Chinese provinces, cities, and autonomous regions from 2011 to 2021. The findings underscore the significant positive impact of technological innovation on export competitiveness, with variances noted across Eastern, Central, and Western regions. The study reveals that technological innovation primarily influences the global competitiveness of high-tech products through industrial upgrading. Policy recommendations emphasize strengthening technological innovation, enhancing education and government support, leveraging regional strengths, and achieving a balance between internal innovation capabilities and market openness. The findings suggest these strategies are crucial for enhancing export performance in the global market for high-tech products. [ABSTRACT FROM AUTHOR]

In this paper, a new index is constructed to measure the regional distribution of high-tech industries. Based on the product space theory and the fitness method, we creatively construct the urban high-tech complexity index, which reflects the diversity and universality of urban high-tech industries. Using urban data from Chinese industrial enterprise database, we find the difference in China's urban high-tech complexity between cities shows a downward trend from 1996 to 2013, and the strong positive spatial correlation of this index. These conclusions reflect the diffusion and spillover effects of China's high-tech industries across regions. Our paper is helpful to understand the innovation drivers at the city level, and promotes the synergy and spillover of high-tech industries. [ABSTRACT FROM AUTHOR]

With the continuous advancement of the CAFTA strategy, the relationship between China and ASEAN countries have gradually strengthened, and the trade exchanges between the two sides have developed rapidly, thereby promoting the economic growth of ASEAN countries in the region. This paper uses differences-in-differences method and HS-6 customs statistical code to study the development of China-ASEAN high-tech industries from 1998 to 2017. It turns out that the establishment of the CAFTA has played a positive role in promoting the development of high-tech industries in ASEAN countries. The specific performance is that China and ASEAN countries have closer trade exchanges, and the trade in computer communication technology and electronic technology has become the fastest developing foreign trade sector. In addition, it is found that low economic level and low education level countries will be affected more significantly by the establishment of CAFTA. [ABSTRACT FROM AUTHOR]

In a world where technological advancements shape not only markets but also societies, understanding the nuances of the high-tech industry is crucial for any stakeholder. Whether it’s global giants or emerging ecosystems like Ukraine, the common features are innovation, competition, and the relentless pace of change. Both operate in an environment characterized by stiff competition, rapid innovation, and a complex regulatory landscape. However, their individual growth and marketing strategies differ under the influence of local trends, existing skills, and government policies. McKinsey’s Technology Trends Forecast up to 2023 is a reminder of the acute talent shortage affecting the sector around the world. This adds another layer of complexity, making human capital as valuable as technological innovation. Clearly, both in Ukraine and elsewhere, the ability to attract, retain and develop talent is becoming a crucial factor for success in this sector. The marketing strategies employed in this sector are as complex as the technologies they aim to promote. From the need for thought leadership and content marketing to the benefits of partnerships, each approach has its own set of opportunities and challenges. Companies must constantly update their methods to adapt to new technological trends, as well as take into account the different regulatory and cultural landscapes in which they operate. The high-tech industry will continue to remain a key player in shaping the future economically, socially, and ethically. Policymakers and industry stakeholders must work in tandem to navigate this complex web of opportunities and challenges, keeping local needs and global shifts in mind. The only constant in the high-tech industry is changes, and success belongs to those who know how to adapt, innovate, and grow.

Since 2010, China's economic growth has stagnated due to an unbalanced regional industrial structure and lack of sufficient qualified technical personnel. A nonlinear autoregressive distributed lag (NARDL) model has been used in this study to examine the asymmetric effects of secondary vocational education and training (SVET) and higher vocational education and training (HVET) and their interaction with high-tech industries on economic growth over the period 1980-2020. The findings show that an increase in secondary vocational education and training (SVET) significantly boosts long-term economic growth, while a decrease in secondary vocational education and training (SVET) insignificantly reduces long-term China economic growth. Likewise, the upward change in higher vocational education and training (HVET) promotes and the downward fluctuation in higher vocational education and training (HVET) significantly reduces China's long-term economic growth. The moderating role of secondary vocational education in the impact of high-tech industries on China's economic growth is positive, but not significant. However, higher vocational education plays a significant positive moderating role in high technology industries impact on economic growth. Strategically, the study analysis suggests that economic transition prosperity can be achieved by encouraging higher vocational education and the equal development of high-tech industries in all regions. In addition, this study also proposes to cultivate high-quality talents related to high-tech development and modern industrial innovation and upgrading through higher vocational education, improve productivity, and promote the country's intensive development. [ABSTRACT FROM AUTHOR]

Green finance is acknowledged as a critical policy tool in China's sustainable development sector, with the goal of lowering the financial burden associated with ecological transformation for Chinese firms. This research examines the impact of green finance on the green innovation efficiency of the high-tech industry in China, within the context of carbon neutrality. Using a panel dataset covering 30 provinces, autonomous regions, and municipalities in China from 2013 to 2021, we analyze the effects of green finance on green innovation efficiency. Our findings indicate that green finance significantly improves the green innovation efficiency of the high-tech industry, even after robustness testing. Furthermore, this paper also explores the threshold effect of industrial agglomeration on the relationship between green finance and green innovation efficiency, specifically in terms of specialization, diversity, and competition. We verify that green finance reduces the costs of green transformation for enterprises, leading to a substantial improvement in the green innovation efficiency of the high-tech industry. These results shed light on the factors influencing green innovation efficiency and provide theoretical insights and implications for policymakers, entrepreneurs, and financial institutions to reconcile economic growth and sustainability goals. [ABSTRACT FROM AUTHOR]

With the rapid advancement of global technology, high-tech industries have become key drivers for the economic growth of many nations and regions. This study delves into the spatiotemporal dynamics and determinants influencing China's high-tech sector from 2007 to 2021. The key findings include the following: (1) Nationally, the high-tech sector has been a cornerstone for China's GDP growth over the preceding 15 years. The expansion rate of the high-tech domain consistently outpaces the broader economy. In particular, since 2015, the percentage of high-tech industries' GDP has surged to approximately 42%. (2) At the provincial level, the spatial representation of the high-tech sector's GDP predominantly leans towards the east and the south, revealing pronounced spatial autocorrelation. Nevertheless, the demarcations between east and west and between north and south are progressively diminishing. (3) Regarding influential determinants, R&D internal expenditure, operating revenue, and industry agglomeration have been instrumental in spearheading innovation and bolstering growth within the high-tech realm. These insights are invaluable for comprehending the evolutional nuances of China's high-tech industry and devising pertinent policy measures. [ABSTRACT FROM AUTHOR]

Employees' innovative performance determines an organization's long-term sustainability and competitive advantages, particularly in the technology sector. Drawing on social exchange and work conformity theory, we investigate how employees' informational and normative conformity relates to their innovative performance through the lens of instrumental and expressive ties. R&D managers and professional-level employees from Taiwan's 2000 largest high-tech firms participate in the survey. Hypotheses were tested using structural equation modeling with a valid sample of 399 responses from the participants. The findings reveal that, through the mediating roles of instrumental and expressive ties, employees' informational conforming behaviors promote their innovative performance. In contrast, normative conformity may reduce employees' innovative performance by weakening their social ties. Conformist behaviors have long been deemed as the inhibitor of creativity and innovation. Nevertheless, this study adopts a social exchange perspective and clarifies how conformity can both promote and hinder professional employees' innovative performance by affecting their social networking. The paper concludes with managerial implications, discussion, and recommendations for future research. [ABSTRACT FROM AUTHOR]

China is implementing a structural tax reduction policy to upgrade the structure of household consumption and promote the development of high-tech industry. This article constructs a heterogeneous NK-DSGE (New Keynesian - Dynamic Stochastic General Equilibrium) model to study the effects of tax reduction policies on consumption upgrading and the development of high-tech industry. The tax categories involved in this model are divided into demand-side tax and supply-side tax. We build two indexes to measure the consumption structure and the development of high-tech industry. It is found that reducing high-tech enterprise income tax would upgrade the consumption structure and promote the development of high-tech industries in the short term. Reducing low-tech enterprise income tax would achieve similar effects in the medium and long term. Moreover, tax such as consumption tax, labour income tax and capital income tax reduction policies can upgrade the consumption structure and promote the development of high-tech industry in the long term. Finally, this article finds that when the elasticity of labour substitution is smaller, reducing high-tech enterprise income tax is more effective. [ABSTRACT FROM AUTHOR]

Environmental regulation inhibits agglomeration innovation when industrial agglomeration encourages green technology innovation; when industrial agglomeration hampers green technology innovation, environmental planning enhances agglomeration innovation. In China, regional differences in cluster growth are evident, as is the impact of agglomeration innovation in different locations. To effectively support green technology innovation, it is vital to combine the existing status of cluster growth in applying environmental regulations for each region. The non-radial and non-angular SBM ML model was used to measure the green transformation level of the manufacturing industry using panel data from 30 provinces and cities in China from 2008 to 2020. This study investigated the characteristics of the impact of high-tech industrial agglomeration on the green transformation of the manufacturing industry in China, based on systematically sorting out the theoretical mechanism of high-tech industrial agglomeration promoting the green transformation of the manufacturing industry. According to the findings, the concentration of high-tech sectors helps to promote the transformation and upgrading of the green manufacturing industry, particularly in less developed areas, middle-stage industrialization areas, or industries with high pollution levels. Technological innovation is a buffer between high-tech industrial agglomeration and green transformation, upgrading manufacturing industries, particularly in the middle stages of industrialization and extremely polluting industries. [ABSTRACT FROM AUTHOR]

There is still a significant gap between most high-tech fields in China and developed countries, and the relationship between the economic resilience of innovation systems and the innovation capability of the high-tech industry has received attention. Using data from 30 provinces in China, this study adopts the fuzzy-set qualitative comparative analysis approach to analyze the relationship between economic resilience and high-tech industry innovation capability, and the findings are as follows: (1) Technological talents and economic development are necessary conditions for explaining the high innovation capability of high-tech industries. (2) The combination of economic resilience and different factors constitutes the equivalent configuration of two high innovation capabilities and four low innovation capabilities. (3) Under high-intensity technological competition between governments, the increased agglomeration of technological talents, and high-quality economic development, the strengthening of economic resilience is conducive to enhancing the innovation capability of high-tech industries. (4) Under low-intensity technological competition between governments, a well-developed technology market, and increased agglomeration of technological talents, the strengthening of economic resilience is adverse to enhancing the innovation capability of high-tech industries. The main contribution of this study is to clarify the configuration mechanism of economic resilience that acts on the innovation capability of the high-tech industry and reveal the complex interaction between economic resilience and multiple factors. [ABSTRACT FROM AUTHOR]

Global development and scientific and technological progress are intensifying the use of mineral raw materials (MRMs)—the necessary basis for the production of high-tech products. The advanced producing countries of these products are in dire need of various raw materials, which are critical and, as a rule, are supplied from third countries. Strategic is a mineral raw material, which is of particular importance for ensuring the economic development of the country, its defense and security. Due to the complex structure of extraction, processing and consumption of raw materials, many of its types are in short supply. In the world literature, the concept of "deficient MRMs" in its content most closely corresponds to "critical MRMs," that is, raw materials that are critically needed for industry and are characterized by a significant risk of their supplies. Most critical raw materials are needed for production promising high-tech industrial products and new materials and, in particular, for "green technologies" in connection with the course of decarbonization of the economy actively pursued by world powers. In the production of such products, the consumption of MRMs is growing rapidly, especially rare-earth elements (REEs), V, Li and platinum-group elements (PGEs). From the list of 61 kinds of MRMs that are strategic for Russia, the extraction of oil, gas, Cu, Au, PGEs, Ni, apatite ores, K salts, and diamonds (as well as nonlisted coals, Fe ores, Na salts, V, B ores, magnesite, and chrysotile asbestos) fully covers their current domestic consumption in the Russian Federation and the achieved level of export. U, Mn, and Cr ores; Zr; high-purity quartz raw materials (SiO2); bauxite (Al); graphite; fluorite and nonstrategic barite; kaolin; and bentonite are deficient; their exploitation only partially provides domestic consumption, which is largely dependent on imports; it is carried out in insufficient volumes in the presence of significant reserves of relatively low quality. The most deficient in this list are Ti, Li, Ta, Nb, and REEs (usually, there are groups of heavy and light rare earths (HREEs and LREEs, respectively)): their domestic consumption is provided mainly by imports with very limited production (despite large reserves, including low-quality ores). Re, Be, Nb, Ta, HREEs, Y, Sc, LREEs, Ge, Ga, Li, Hf, and Co, and, of nonstrategic MRMs, Bi and Sr, should be considered critical MRMs in the Russian Federation. The most important source of dispersed/associated elements is represented by raw materials of mining enterprises of nonferrous metallurgy: Cu and Zn subsectors, In, Ge, Ga, Cd, Tl, Se, Te, Sb, Bi, etc.; Al subsectors, Ga; for Au and Au–Ag deposits, Sb, As, Te, Se, Bi, Tl. An associated source of lithium is represented by brines of gas-condensate fields. The issues of assessing complex raw materials for high-tech industry are considered using the example of pyrite, porphyry, and gold-ore deposits of the Uralian fold belt, which play an important role in its overall metallogenic potential. [ABSTRACT FROM AUTHOR]

This article considers the issue of Russia's self-sufficiency in import-dependent types (including critical ones) of strategic mineral raw materials. It is shown that, in recent years, the Government of Russia has been paying much attention to the development of the mineral-resource base (MRB) of strategic raw materials: in 2018, the "Strategy for the Development of the MRB of the Russian Federation until 2035" was approved, and in 2022 the "List of the Main Types of Strategic Mineral Raw Materials (SMRMs)" was published, after having been updated for the first time in 26 years. The article notes that self-sufficiency in SMRMs has been achieved for most items of the List. For 17 of the points in the List, the industry of the Russian Federation is highly dependent on imports; for some points, this dependence reaches 100%. Despite this, many domestic SMRM deposits that are critically dependent on imports are not developed due to low profitability. The analysis performed in the article shows that Russia can completely replace the import of mineral raw materials through the development of its own MRB of SMRMs. Self-sufficiency can be achieved most rapidly through the development of alluvial deposits, weathering crusts and recycling. [ABSTRACT FROM AUTHOR]

The assessment of industrial risks and their economic impact on enterprises is considered. The goal is to develop a model for risk assessment, taking account of the impact on economic security. The applicability of fuzzy logic in modeling the impact of risk factors on high-technology enterprises is studied. The modeling of risk impact on business processes by means of fuzzy logic is a preventive measure permitting the development of measures for avoiding and minimizing the economic impact on enterprises. [ABSTRACT FROM AUTHOR]

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This study explores the synergetic development capability of China's high-tech industry innovation ecosystem and the diversification path necessary to improve it. Based on the four-spiral perspective, the system synergetic development index was constructed, and the composite system collaborative degree model was used to measure the synergetic development capability of the high-tech industry innovation ecosystem across 30 provinces and cities in China from 2012 to 2020. The influencing factor model of improving the system's synergetic development capability was constructed under the technology–organization–environment (TOE) framework, and a fuzzy set qualitative comparative analysis (fsQCA) method was used to explore the multiple paths available to improve the synergetic development ability of the system. The results show that the four-helix system's synergetic development capability is poor and needs to be improved. The "technology–organization–environment" conditions cannot be used alone as the necessary conditions for the improvement in the system's synergetic development capability but need to exert a joint, matching effect through the combination of different factors. In addition, market openness is crucial on the path toward the highly synergetic development of the system. The research results not only provide a theoretical basis for comprehensively improving the system's synergetic development capability but also provide a practical reference for the differentiation path being revealed. In short, this study has important theoretical and practical significance to promoting the synergetic development and benign evolution of the high-tech industry innovation ecosystem. [ABSTRACT FROM AUTHOR]

This study examines the paradigm shift of Japan's technonationalism from a developmentalism-oriented inward-looking industrial policy to a security-oriented geostrategy involving multi-state collaboration with like-minded states. Using case studies of Elpida Memory and TSMC investment in Kumamoto, this research highlights how Japan has adapted its technonationalist approach to address contemporary challenges in the international political economy while ensuring its security alliance with the United States. [ABSTRACT FROM AUTHOR]

The high-tech industry is the world's most powerful and profitable industry, and it is almost entirely dominated by white, Asian American, and Asian men. This article reviews research on social inequality in the high-tech industry, focusing on gender and race/ethnicity. It begins with a discussion of alternative ways of defining the sector and an overview of its history and employment demographics. Next is an analysis of gendered and racialized pathways into high-paying jobs in the industry, followed by a review of research on workplace organization that emphasizes how sexism and racism are embedded inside the firm and beyond it, through the design of high-tech products and services. Finally, gender and racial disparities in attrition rates are discussed. The conclusion calls for future research on social inequality and the funding structure of the industry, age discrimination inside tech, effective diversity policies, and labor movement activism throughout the high-tech industry. [ABSTRACT FROM AUTHOR]

With the rapid development of high-tech industries, the research perspective of industrial innovation has gradually evolved from the innovation system to innovation ecosystem. Whether the innovation ecosystem of China's high-tech industry can achieve the benign evolution and development of the system under the new global pattern has become a real issue. Based on the perspective of the four-helix innovation model, in this study we construct an index system of the industrial innovation ecosystem development and designs a framework system of the industrial innovation ecosystem development capability, including the coordinated development capability, evolutionary development capability, and sustainable development capability at three levels. We construct measurement models of different capability dimensions and multi-dimensionally analyses of the regional development differences and change trends of each capability dimension of the system. The results show that the coordinated development capability of China's high-tech industrial innovation ecosystem is poor, which inhibits the comprehensive capability of the system's development to a certain extent. Although the evolutionary and sustainable development capabilities fluctuate greatly and have significant regional differences, they are measured at a better level and thereby contribute to the development of the system. [ABSTRACT FROM AUTHOR]

Promoting technology transfer is an important strategic measure for China to promote industrial innovation. However, there is little research exploring the influence of technology transfer on the green innovation efficiency (GIE) of China's high-tech industry (HTI). From the perspective of process, green innovation in HTI is a continuous three-stage system including research and development (R&D), commercialization, and diffusion. Therefore, we measure the GIE of China's HTI by using a three-stage network data envelopment analysis (NDEA) model considering environmental pollution and establish a series of regression models to investigate the role of the two main ways of technology transfer, domestic technology acquisition (DTA) and foreign technology introduction (FTI), in improving the GIE of HTI. The results show that the average GIE of China's HTI is 0.7727 from 2011 to 2020. Except for Jiangsu, Guangdong, Qinghai, and Xinjiang, green innovation in HTI in other provinces in China is inefficient. DTA has significantly promoted GIE in HTI. FTI has a positive impact on the GIE of HTI but is not statistically significant. The robustness test confirmed these results. This study is helpful to understand the differences between the effects of DTA and FTI on the GIE of China's HTI, to provide a basis for adjusting technology transfer policies.

Because of escalating technological conflicts, the US-China technology war, and hegemonic competition since the late 2010s, “technonationalism,” has become a critical topic in the international political economy, and this study contributes to the ongoing discussion proposing two mediating variables, the global value chain (GVC) and the US-China competition in the 2010s. First, we propose a shift in the technonationalist paradigm, from focusing on a single-state approach with an industrial policy oriented toward development to a multistate focus approach with a geoeconomic strategy oriented toward security. It also highlights the integration of business interests into the national strategic agenda as a critical criterion. Second, the study examines investment in Japan by Elpida Memory, Kioxia, and Taiwan Semiconductor Manufacturing Company. Based on Japan as a case study, the findings show a shift to technonationalism, as the government responds to changes in international political conditions, rather than to domestic demands for supporting a specific segment of the semiconductor industry.

The rise of digitisation will cause a major upheaval in the manufacturing industries, bringing changes to traditional industrial location patterns as well. In order to understand the direction these structural changes are taking, this paper analyses the start-up activity in the industrial sector. The frontrunners are metropolitan regions and in particular major cities such as Berlin or Munich. Furthermore, detailed analysis of the city of Berlin shows higher and stable concentrations of new industrial companies in inner city locations. This spatial pattern requires the proactive application of legal planning instruments for mixed land use, which contributes to the integration of hybrid spaces and clean and green factories in the inner city. [ABSTRACT FROM AUTHOR]