Development Of High-tech Industries Research Articles

Realisation of secondary vocational education programmes in high-tech training areas in LPR, DPR, Kherson and Zaporozhye regions in the aspect of career needs

Introduction. Special attention in the conditions of active technological development and digitalisation of the economy is paid to training specialists mastering secondary vocational education (hereinafter – SVE). This interest is based on the demand in the labour market for such specialists who will be able to make a significant contribution to the development of high-tech industries. To secure the successful implementation of SVE programmes in Donetsk People’s Republic (hereinafter – DPR), Lugansk People’s Republic (hereinafter – LPR), Zaporozhye and Kherson regions, it is necessary to ensure compliance with the learners’ career needs. For this purpose, it is necessary to take into account the needs of the labour market as well as the dominant industrial areas in these territories. The aim of the article is to analyse the current state of the SVE system in LPR, DPR, Zaporozhye and Kherson regions in high-technology training programmes in the context of the career needs of the new regions. Research methods. The quantitative and qualitative analysis was implemented using the number of the involved educational institutions: DPR (64), LPR (60), Zaporozhye (14), Kherson (4) and Kemerovo regions (84). Results. The large number of institutions makes it possible to implement the “Professionalisation” programme in the above regions, but at the moment no localisation of territories is available, including technological clusters. The comparative analysis of the SVE institutions in DPR and Kuzbass regions revealed the predominance of high-tech fields: computer science and engineering (13 and 11), mechanical engineering (12 and 15), land transport engineering and technology (16 and 10), construction engineering and technology (8 and 14). The SVE training areas in DPR are characterised by more programmes in the field «Economics and management» (24) and «Electrical and heat engineering» (17). Conclusion. The survey results can serve as a basis for designing a teacher training system aimed at the realisation of SVE programmes and supplementary education programmes in high-tech training areas in the said regions.

THE INTERESTS OF THE UK FOREIGN POLICY IN THE CONTEXT OF THE FORMATION OF THE AUKUS INTERSTATE ASSOCIATION

The article is devoted to the study of the evolution of the UK's foreign policy in the period after its withdrawal from the European Union (post-Brexit period) in the context of the country's participation in the formation of the AUKUS (an abbreviation of the English names of Australia, the United Kingdom and the United States). The research methodology was formed by the principles of historicism, systematicity, and objectivity, general scientific methods of logic, comparative analysis, special historical methods of historiographic analysis, historical-systemic, chronological, historical-genetic, retrospective analysis, and comparative-historical methods of scientific knowledge. It is noted that the creation of the interstate association AUKUS in 2021 was a resonant event in the world of international politics. The agreements provide for the development of systemic military-political cooperation between the three states at the strategic level in the long term with the primacy of the US-British alliance, which will potentially have a significant impact on the configuration of the international security system, especially in the context of current attempts to revise it It is stated that the relatively recently launched international security project AUKUS has already become one of the examples of active foreign policy activities of the British governments in the post-Brexit period, which is fully consistent with the Global Britain strategy. By participating in AUKUS, the British side not only contributes to global security and strengthens its military presence in one of the key regions of world politics, protects its own geopolitical and economic interests, but also guarantees the development of high-tech knowledge-intensive industries for the long term. The project of comprehensive sectoral military and defence cooperation proposed by the United States (with the support of two allied states) reflects an attempt to maintain American and British influence in the Indo-Pacific region and globally in the face of the growing conflict with China. With the resumption of the US policy of isolationism and protectionism, and possible financial problems of the UK as the second most important partner, the AUKUS project faces uncertain prospects. Ukraine's international prospects also depend on the success or failure of the AUKUS project.

Does Artificial Intelligence Bring to Renewable Energy Innovation？Yes, Empirical Investigation for 51 Countries?

ABSTRACT The development of high-tech industries, represented by artificial intelligence (AI), plays an important role in driving renewable energy innovation (REI). This paper analyzes the effects and mechanisms of AI on REI, using data from 51 countries from 1993 to 2019. The results show that AI can promote REI by increasing research and development (R&D) investment, improving labor productivity and institutional quality. The impact varies depending on the level and type of REI, the type of AI, the level of national income, and the extent of digital infrastructure. In addition, by constructing a spatial Durbin model, this paper also shows that AI inhibits the innovation level of neighboring countries while promoting REI at home. In view of this, countries should make full use of the advantages of AI, increase investment in R&D of AI in the field of RE, improve the efficiency of RE production and use, and establish an international cooperation framework of AI for energy innovation among countries in an effort to promote REI.

The Role and Impact of Investment Banks in the IPO Process of High-Tech Enterprises

As China's comprehensive strength continues to grow, new opportunities arise for the development of high-tech industries. An increasing number of high-tech enterprises are entering the capital market through Initial Public Offerings (IPOs) to raise funds, expand their scale, and enhance brand influence. Investment banks play a crucial role in this process. As professional financial institutions, investment banks provide indispensable services, including professional consultation, due diligence, and risk management. Additionally, investment banks can leverage resources from other industries to assist in the development of high-tech enterprises, guide them in standardized management, enhance brand value, and help these companies achieve stable growth in a competitive environment, ultimately bringing greater economic and social benefits.

Ecosystem model of development of the unmanned aircraft systems industry

The article analyzes the structural transformations of Russian industry in the context of external constraints and the need to ensure technological sovereignty in high-tech industries. The scientific hypothesis of the work is the assumption of the importance of cross-sectoral coordination of subjects of industrial policy in order to develop the production of critical products. The digital industrial ecosystem of the unmanned aircraft systems (UAS) industry is considered as an object of research. The purpose of the research is to develop the foundations of the structure of the ecosystem model of the development of the UAS industry and substantiate the feasibility of its application in the interests of improving high-tech industries of the Russian Federation. The article offers the author’s interpretations of the concepts of “digital industrial ecosystem” and “cross-industry ecosystem”, substantiates the principles of functioning of the ecosystem model and its architecture. An ecosystem model of the development of the UAS industry was developed, including management bodies, technical infrastructure, organizational and economic tools, technological clusters and a network of participants. The main distinguishing features of the proposed model from the existing ones are: the distribution of ecosystem management bodies that ensure the autonomy of management at all horizontal and hierarchical levels of its organization; the ecosystem is considered as an instrument of the mechanism of strategic development of high-tech industries involved in the creation of civil-purpose UAS, and provides cross-industry interaction of participants in order to accelerate the development of industrial production and the formation of the UAS market. The ecosystem management model will ensure the possession of up-to-date data of actual and planned indicative evaluation indicators of the state and development of the industry on a time scale close to real, based on the principle of digital transparency.

Strategic cooperation of high tech companies of China and Russia

The sanctions imposed on the Russian economics in 2022 by a number of countries created an external shock for many industries in Russia with the strongest impact on the enterprises of high tech industries. At the same time, there is an emerging potential for cooperation between Russian and Chinese manufacturers which is forming new strategies of development of Russian high tech enterprises. In order to evaluate the prospects and trends of development of Chinese high tech industry in this context, the authors applied methods of economic analysis including the correlation analysis. Factors, determining potential of cooperation between Russia and China in this sphere, were systematized on the basis of the methodology of strategizing by Professor Vladimir L. Kvint.It has been stated that Chinese manufacturers are able to replace either partially or completely European and American suppliers in a number of high tech industries: innovative components and equipment for engineering, semiconductors and chips, telecommunications equipment and components. It has been discovered that the number of registered patents and the number of researchers involved in RD in China have a significant correlation with the growth of export of high tech products of China. Further growth will be able to ensure the expansion of technology and knowledge exports from China to Russia.Thus, it can be stated for sure that there are perspective industries and fields of Russia-China cooperation in high tech industry. The sphere of cooperation which can become the basis for the strategy of development of Russian high tech manufacturers is scientific and patent cooperation with Chinese organizations. The authors have also discovered limitations in this cooperation: there is a threat of imposing international sanctions on Chinese manufacturers; Chinese enterprises are working at a high level of workload in the context of the global economic recovery after the coronavirus pandemic; decrease of competitiveness of Russian high tech industry has a negative impact on the expected benefits from the cooperation between the countries. These strategic threats can be overcome with the help of a well-grounded foreign economic strategy developed by Russian and Chinese authorities.

Helium resources accumulation regulations and their development prospects in China

Helium is a globally scarce strategic resource that is relevant to national economies and the development of high-tech industries, and China primarily depends on imported helium for its industrial applications. Therefore, there is an urgent demand for clarifying helium formation and enrichment patterns, searching for helium-rich fields, and realizing China's helium resource inventory and development potential. This article analyzes the reservoir characteristics and accumulation conditions of typical helium-rich fields in China, and clarifying the origin and source of helium as well as the main controlling factors of helium enrichment. It was recognized that helium in natural gas in China mainly comes from crustal sources. Relatively shallow buried ancient U–Th-rich granite basement or intrusion, large and stable ancient uplift or submarine formed in the early period, good overburden of huge thick paste-salt rock or mudstone cover, and channels connecting the basement and reservoir, were the main controlling factors of helium enrichment. Four types of helium-rich gas reservoirs, namely helium-rich conventional gas, helium-rich shale gas, helium-rich non-hydrocarbon gas, and helium-rich water-soluble gas, have been modeled and predicted to be helium-rich favorable exploration areas. Based on this analysis, the prospect of helium resource development in China has been analyzed. It was proposed that the exploration of helium-rich fields and the comprehensive development and utilization of medium- and low-abundance helium resources are important ways to increase the domestic helium production in China in the future.

The carbon emission reduction effect of China’s national high-tech industrial development zones

The double carbon goal is a wide and profound economic and social systematic change. It is also crucial to China's sustainable development. How to promote emission reduction, the National High-Tech Industrial Development Zones(NHTDZs) policy is the key to addressing this problem. Based on urban data from 2003 to 2019 from China, this paper uses the multi-time point asymptotic difference method to explore the impact of the NHTDZs establishment on carbon emissions. The establishment of NHTDZs reduces CO2 emissions, which remains valid through robustness tests. The mechanism analysis demonstrated that the construction of NHTDZs reduces CO2 emissions by increasing innovation levels, increasing research expenditures and emphasizing human capital. Further analysis shown that geographic location, initial resource endowment, population size, and level of green finance development are difference in different cities. This provides guidance promoting the development of NHTDZs and future layout.

Evaluating the impact of technological development policy on the high-quality development of the manufacturing industry: Mechanisms and threshold effects

As the world's largest manufacturing country, the rapid growth of China's manufacturing industry has historically relied on factor input. To achieve high-quality development of the manufacturing industry, China must accelerate the transformation from extensive factor input to innovation. The purpose of this study is to further explore the impact mechanisms of technological development policy on the high-quality development of the manufacturing industry. It selected data from 30 provinces and cities in China spanning from 2011 to 2021 for the study. Initially, it established a benchmark regression model to verify the positive impact of technological development policies on the high-quality development of the manufacturing industry. Subsequently, a mediation effect model was used to analyze the role of high-tech industry development in mediating this impact, and a moderation effect model was applied to study the moderating effect of the level of infrastructure informatization. Additionally, taking the industrial structure as a threshold variable, a panel threshold effect model was employed to explore the impact of technological development policy on the high-quality development of the manufacturing industry. It was found that enhancing the level of high-tech industries further facilitates the high-quality development of the manufacturing industry through technological development policy. The level of infrastructure informatization positively moderates the impact of technological development policy on the high-quality development of the manufacturing industry. Moreover, the industrial structure exhibits a threshold effect in this impact.

High-tech industry development: selection of technology parks operation model elements in the field of high technology

The article presents the justification of model elements choice for technology parks work in the sphere of high technologies in Russia. The methodology for creating the model, which was built on the position of borrowing the best practices of existing models of innovation infrastructure facilities operation and functioning in the country, has been given. It has been proposed to form a rating among operating technology parks, within the framework of which a comprehensive assessment of technology park management companies’ performance has been carried out according to four groups of indicators (sub-indexes) such as subjects investment attractiveness, information openness, technology parks internal ecosystem, and management company efficiency. Based on the rating results, the leaders among technology parks have been identified, and their behavioral models adopted as reference metrics for the model to be developed. Based on the leaders’ position, it has been proposed to choose the best technology parks model in the field of high technologies in terms of their interaction with residents. Recommendations have been presented for the technology parks infrastructural model as the most promising for private companies, while investment projects should be developed considering federal requirements and standards to ensure their successful implementation and achievement of the set goals. Technology parks in the sphere of high technologies play a key role in Russian economy development. They contribute to the development of innovations, new technologies, high-tech industries, and knowledge-intensive business. It is important that such technology parks development is optimally organized with due regard to modern requirements and regulatory measures.

Economic complexity and income inequality in Russian regions

Although economic growth leads to a reduction in poverty, the growing income inequality and its possible consequences are of some concern. The level of economic complexity has recently been increasingly viewed as an important predictor of income inequality. In this paper, using pool and models with time fixed effects, the impact of the economic complexity index on income inequality in Russian regions for 2013 and 2015 was estimated. The results of the evaluation of econometric models show that regions with more complex economies showed a higher level of income inequality compared to others. The explanations for the effect obtained include an increase in demand for highly qualified labor as a result of the development of high-tech industries and an increase in wage differentiation between high-skilled and low-skilled workers, as well as the migration of high-skilled workers to economically more complex regions. The main conclusion is that economic complexity is a significant factor of the variation in income inequality and should also be taken into account while conducting economic and social policy in Russian regions.

Evaluating economic efficiency of the national high-tech industrial development districts in the Yangtze River Delta by stochastic frontier analysis

The High-tech Industrial Development Districts (HIDDs) are technological engines for the regional economy in China. The Chinese government implemented the Torch Initiative to accelerate industrial agglomeration and innovation development by administratively upgrading the local HIDDs into a national list since 1989. The policy intervention emphasizes the labor and capital inputs on science and technology. The study adopts the Stochastic Frontier Analysis (SFA) to understand the economic efficiency of the enlisted national HIDDs in the Yangtze River Delta. The results suggest that the average efficiency trends of the all-in-total sales, product sales and commodity sales are decreasing while that of technology sales is increasing from 2007 to 2019. In the total sales efficiency evaluation, most early-enrolled HIDDs are in the high-efficiency group whereas the newcomers are in the low-efficiency group. The Nantong HIDD has the highest efficiency, followed by Wuxi, Taizhou, Suzhou, Nanjing, Shanghai ZJ, Xiaoshan, Ningbo, Suzhou IP and Jiangyin HIDDs. Huainan, Huaian, Tongling, Shanghai ZZ, Lianyungang and Suqian HIDDs rank very low in the total sales evaluation. Besides, Hangzhou, Nantong and Ningbo HIDDs rank first in the technology, product and commodity sales efficiency evaluation correspondingly. In addition, the increase of S&T labor inputs would decrease the efficiency of the product, commodity and total sales while the increase of the S&T capital inputs is as expected a facilitator to the efficiency of product, commodity and total sales. This study contributes to the discussion on the role of political intervention in technological innovation by breaking down the economic efficiency into three major parts, the efficiency of technology, product and commodity sales. The findings could help policymakers strike a balance between the human and capital inputs in regional innovation capability.

Location-Oriented Policies in China: Establishment of State-Level Development Zones and Enterprise Innovation Behaviors

The impact of state-level development zones on company innovation behaviors—specifically, innovation input, output, and quality—is examined in this research. This study utilizes the establishment of state-level development zones as a quasi-natural experiment and employs a Staggered Difference-In-Difference model to systematically evaluate the actual effects. Furthermore, this research focuses on the heterogeneous effects of state-level development zones on enterprise innovation, taking into account different functional positionings, such as the Economic and Technological Development Zone (ETDZ), the High-Tech Industrial Development Zone (HIDZ), and the Special Customs Supervision Zone (SCSZ). The results of previous research indicate that the establishment of state-level development zones may effectively foster company innovation and have a noteworthy effect on the input, output, and quality of innovation. The establishment of ETDZs and HIDZs can significantly encourage enterprises to increase their investment in innovation. The innovation incentive effect of HIDZs is stronger than that of ETDZs. On the other hand, the establishment of SCSZs is more beneficial for improving the output and quality of innovation in enterprises. ETDZs can promote innovation output by adjusting industry agglomeration in the region. HIDZs can encourage enterprises to increase their innovation input by intensifying tax preferences and reducing the level of industry agglomeration. SCSZs can effectively promote the innovation input, innovation output, and innovation quality of enterprises by increasing government subsidies and the intensity of tax preferences.

Growth Models and Influencing Mechanisms of Total Factor Productivity in China’s National High-Tech Zones

Total factor productivity (TFP) serves as a crucial indicator of high-quality development, showcasing a region’s utilization of technological advancements and innovative strategies to enhance production efficiency. With China’s regions experiencing varying levels of development, the paths to high-quality development in NHTZs also exhibit significant disparities. Analyzing data from 88 NHTZs between 2011 and 2018, this research aims to explore differences in TFP growth models and the mechanisms influencing these models. Employing stochastic frontier analysis (SFA) and the Tobit model, the study identifies three TFP growth models: technology-led, multi-efficiency improvement, and scale efficiency compensation. While factors such as capital accumulation, overseas market participation, and patent output moderately hinder TFP growth, innovation platforms, R&D investment, and overseas talent acquisition significantly contribute to TFP enhancement. Distinguishing itself from existing TFP studies, this paper focuses on NHTZs, highlighting their role in regional high-tech industry development. It introduces three TFP growth models and their characteristics while also uncovering influencing factors for each model. This research offers valuable insights into regional disparities in high-quality development and contributes to understanding TFP growth dynamics in NHTZs.

Do government fiscal expenditure and financial institutions promote high-tech industry development? Evidence from China

ABSTRACT With economic globalization and the rapid progress of economic transformation, developing high-tech industries has become an important way for many emerging countries to achieve sustainable and environmentally friendly economic development category. This research uses the vector error correction model (VECM) to study the effect of fiscal expenditures and financial support on China’s high-tech industry development during 2001–2022. The results show that government fiscal expenditure has a long-term and stable positive relationship with the output of high-tech industries and the number of new high-tech enterprises, while current loans from financial institutions have a negative relationship with such development. Moreover, fiscal expenditure has a greater and deeper impact on high-tech industries than does the loans of financial institutions. In terms of policy insights, our results imply that the government should continue to improve fiscal expenditure and promote financial innovation to help achieve sustainable and balanced development of high-tech industries.

Assessing the Key Factors Measuring Regional Competitiveness

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.

The formation of research in the field of chemical technology of ceramic and composite materials in Komi Scientific Research Center of the Ural Branch of the Russian Academy of Sciences (1980-1990-ies)

The work is devoted to the history of the formation of one of the scientific directions currently developing at the Institute of Chemistry of the Federal Research Center "Komi Scientific Center of the Ural Branch of the Russian Academy of Sciences". The subject of the study is the process of formation and development of research in the field of materials science and chemical technology of ceramic and composite materials in the Laboratory of Chemistry and Solid State Physics of the Department of Chemistry of the Komi Scientific Center of the Ural Branch of the Russian Academy of Sciences in the 1980s and 1990s. The main attention is paid to the study of the prerequisites for the creation, conditions and main stages of the laboratory, the mechanisms of interaction between a research institution and industrial enterprises of the republic, the analysis of the influence of external factors on the choice of subjects and the development of scientific research, the role of the personality of a scientist in the history of science. The methodological basis of the research is the principle of historicism, a problem-chronological approach, according to which the formation of a scientific direction in an academic institution was studied in the context of the history of industrial development of the region. Based on the documents stored in the funds of the Scientific Archive of the Komi Scientific Research Center of the Ural Branch of the Russian Academy of Sciences and published works, the history of the organization and operation of the laboratory of chemistry and solid state physics was reconstructed for the first time. It is established that one of the main factors that determined the process of formation and development of research in the laboratory during this period was the availability in the republic of promising reserves of mineral raw materials suitable for use in obtaining functional ceramic and composite materials; the necessary research base; the development of high-tech industries in the Komi ASSR. Scientists have been working on the creation of physico-chemical bases for the production of high-tech materials with special properties (magnetic, electrophysical, etc.) based on the mineral raw materials of the republic. New materials with special physical and chemical characteristics obtained in the laboratory were introduced into production, which contributed to the development of the region's industry.

Research on the Agglomeration and Spatiotemporal Development of China's Green High-Tech Industries

Accurate understanding of the spatial and temporal development of the agglomeration of green high-tech industries holds significant importance for the scientific formulation of policies promoting industrial innovation and development. This has attracted increasing attention from scholars. Utilizing nearly a decade's worth of statistical data on China's green high-tech industries, this paper employs methods from spatial geography and other disciplines to analyze the temporal and spatial variations, as well as the agglomeration characteristics of these industries in China. A comprehensive analysis of the development levels of China's high-tech industries and their sub-sectors is conducted through calculations of spatial Gini coefficients, industrial concentration ratios, location quotients, and coefficients of variation.Results indicate that the four key indicators of the development of China's major high-tech industries, namely the number of enterprises, employment figures, operating income, and profits, exhibit linear growth trends. Overall, the agglomeration level of the industry shows a fluctuating downward trend. The regional agglomeration level follows a gradient distribution trend of "eastern region - central region - western region - northeastern region," with a decreasing concentration trend. Regional disparities in the agglomeration level of industries evolve over time, with an increasing concentration in the western and central regions, and a decreasing concentration in the eastern and northeastern regions. From a provincial perspective, Guangdong and Jiangsu provinces stand out with significantly higher levels of development in high-tech industries.Furthermore, distinct differences are observed in the development processes of four typical industries. The agglomeration levels, ranked from high to low, are as follows: computer and office equipment manufacturing, electronic information and communication equipment manufacturing, medical device manufacturing, and pharmaceutical manufacturing，the development of the four types of industries has undergone certain transfers and optimizations.

Analysis of foreign practice of tax incentives for the development of high-tech industry

The article was prepared based on the results of research carried out at the expense of budget funds under the state assignment of the Financial University. The subject of the study is specific measures in the field of tax regulation of industrial development by the leading industrial powers of the world. The purpose of the work is to explore the use of tax instruments to influence the manufacturing sector of various countries and the areas of their application, considering their evolution and development. The result of the work is the identification of the most promising methods of tax incentives for high-tech industry enterprises, which in the future can be introduced into taxation practice in the Russian Federation in order to stimulate the achievement of the country's technological sovereignty. The main methods used in this study are comparison, classification, statistical and retrospective analysis, as well as economic and mathematical calculations. The result of the work is the identification of the most promising methods of tax incentives for high-tech industry enterprises. The novelty of the study lies in the systematization of tax mechanisms for high-tech industry in industrialized countries, general trends in the development of such mechanisms, as well as justifying the feasibility of using their experience in the Russian Federation. In addition, the novelty lies in making proposals for the adaptation and modification of these mechanisms to Russian economy. The scope of the work is the tax system of the Russian Federation. The main conclusions are the identification among the analyzed instruments the most suitable ones for our country in the current conditions, which in the future can have a stimulating effect on the formation of the technological sovereignty of the Russian Federation, as well as calculation of the potential tax benefits for high-tech industry enterprises.

Evaluating the impact of the innovation efficiency of high-tech industry on carbon emissions: a case study of the manufacturing industry in China.

Amid China's economic shift to high-quality development, addressing environmental challenges like greenhouse gas emissions and manufacturing pollution, there is a crucial demand for sustainable and eco-friendly development strategies. This study aims to investigate the impact of innovation efficiency in the high-tech industry on carbon emissions. It seeks to explore regional differences, mechanisms, and the influence of energy consumption structures in achieving sustainable development goals. Utilizing data from 30 provinces spanning 2009 to 2020, the study employs the DEA-Malmquist index model, spatial and temporal classification evaluation, and a panel measurement model to assess the efficiency of innovation and development in high-tech industries and their relationship with carbon emissions. The results indicate several key findings: (1) The overall operational efficiency of high-tech industry innovation and development in China is steadily increasing. However, there are distinct characteristics observed among provinces and cities, reflecting diverse input and output types. (2) High-tech industry innovation efficiency significantly contributes to carbon emission reduction, and there is regional heterogeneity in this impact. The central and western regions exhibit greater effects compared to other provinces and cities. (3) The optimization of the energy structure is identified as a mechanism through which high-tech industry innovation efficiency reduces carbon emissions. Moreover, different intervals of high-tech industry innovation efficiency yield varying effects on carbon emissions. This research underscores the importance of fostering high-tech industry innovation efficiency as a means to reduce carbon emissions. It also identifies key areas for future policy development and resource allocation, emphasizing the support needed for low-carbon technology research and development.