Changes In Industrial Structure Research Articles

THE ROLE OF THE INFORMATION TECHNOLOGY IN THE INDUSTRIAL STRUCTURE OPTIMIZATION AND UPGRADING IN CHINA

By developing an industrial structure change model, this paper investigates the role of the information technology in explaining the process of industrial structure optimization and upgrading in China from 2001 to 2019. Then, we put forward and discuss the substitution effect and the pervasiveness effect of information technology, and deduce the theoretical propositions from the model. We use the Malmquist index method to estimate the rate of information technology progress, and then choose the genetic algorithm to calibrate the parameters of the model. The research conclusions innovatively explain how the information technology can promote the industrial structure optimization and upgrading in China based on the substitution effect and the pervasiveness effect of information technology in detail. The results point out that when the contribution of information technology to total factor productivity of the tertiary industry is higher than that of the secondary industry, the pervasiveness effect of information technology can promote the upgrading of the industrial structure. Under the comprehensive effect of the pervasiveness effect and substitution effect of information technology, the industrial structure tends to be more optimized. The further heterogeneity analysis shows that the driving effect of information technology on the optimization and upgrading of industrial structure in regions with “servitization” characteristics is more significant. It highlights policy suggestions designed to adopt innovation-driven and technology development strategy, regional industrial structure transformation and economy development strategy.

Research on the Contribution of Electronic Commerce to Economic Development: An Empirical Analysis Based on Artificial Neural Network

Data collinearity, nonlinearity, and even the data itself helped us solve regression of blind areas throughout this study. When it comes to China’s economic change in the new normal era, high-quality development will be an inescapable trend. By capitalizing on the industrial advantages of speed, flexibility, and convenience, e-commerce has given new momentum to the change of industrial structure and created prospects for the times’ high-quality economic growth. Based on a comparison of the changes in provincial panel data from 2013 to 2020, the following conclusion may be drawn: following per capita education and per capita online sales weight in ANN analysis of economic growth is e-contribution commerce’s to economic growth followed by e-commerce volume, express volume, and domain name; other factors are less important.

Effects of Industrial Structure Adjustment on Pollutants Discharged to the Aquatic Environment in Northwest China.

Northwest China is located along China’s Belt and Road Initiative routes and represents the frontier and core region for China’s construction and development of the Silk Road Economic Belt. In recent years, the conflict between economic development and environmental pollution has become increasingly intense in this region, with the latter mainly caused by disorderly industrialization brought about by rapid urbanization processes. Inappropriate industrial structure is the primary reason for environmental degradation in Northwest China, which has limited precipitation and available water. Due to its fragile aquatic environment and unsustainable use of water resources, the pollution and degradation of the aquatic environment has become a bottleneck that severely restricts the sustainable development of China’s northwest region. In the present study, five provinces or autonomous regions in Northwest China were selected as the study objects. Based on the vector autoregressive (VAR) model, quantitative research methods, such as impulse response function and variance decomposition analysis, were applied to quantify the dynamics between industrial structure adjustment and changes in industrial pollutant discharges to the aquatic environment, so that the impact of industrial structure adjustment on pollutants discharged to the aquatic environment could be quantified and characterized. Therefore, the present study has both theoretical and practical significance. The conclusions are as follows: (1) In general, industrial structure in most provinces in Northwest China imposes a positive effect over the discharge of pollutants to the aquatic environment. Adjusting industrial structure and reducing the proportion of secondary industry present can to some extent promote reductions in the discharge of pollutants to the aquatic environment. However, such beneficial effects may vary among different provinces. (2) Specifically, for Gansu, province industrial structure adjustment could help reduce the discharge of pollutants to the aquatic environment effectively during the early stages, but this positive effect gradually weakens and disappears during the later stages. In Qinghai province, industrial structure adjustment could not help reduce the discharge of pollutants to the aquatic environment effectively during the early stages, but a positive effect gradually increases and continues to function later. The performance in Shaanxi and Xinjiang provinces was quite similar, with industrial structure adjustment helping to effectively reduce the discharge of pollutants to the aquatic environment over a long period of time. This positive effect can play a more sustained and stable role. For Ningxia province, industrial structure adjustment can not only help significantly reduce the discharge of pollutants to the aquatic environment but also displays a significant positive effect. (3) Given the specific conditions and characteristics of the region under study, relevant policies for industrial structure adjustment should be formulated and implemented.

Dynamic clustering of multivariate panel data

We propose a dynamic clustering model for uncovering latent time-varying group structures in multivariate panel data. The model is dynamic in three ways. First, the cluster location and scale matrices are time-varying to track gradual changes in cluster characteristics over time. Second, all units can transition between clusters based on a Hidden Markov model (HMM). Finally, the HMM’s transition matrix can depend on lagged time-varying cluster distances as well as economic covariates. Monte Carlo experiments suggest that the units can be classified reliably in a variety of challenging settings. Incorporating dynamics in the cluster composition proves empirically important in a study of 299 European banks between 2008Q1 and 2018Q2. We find that approximately 3% of banks transition per quarter on average. Transition probabilities are in part explained by differences in bank profitability, suggesting that factors contributing to low profitability for some banks can lead to long-lasting changes in financial industry structure.

Nexus between financial development, FDI, industrial structure change and innovation in the post-financial crisis era: Evidence from China

China began to strive for innovation-driven economic growth by encouraging technological progress since the recent world financial crisis. Further, Chinese economy exhibited several different features since the crisis. Its financial credits surged. Meanwhile, it began to adjust its industrial structures. In order to test the effect of these policies, this paper investigates whether financial development, FDI and industrial structure changes affect innovation in this new era. The results find that provincial variation in innovation performance enlarged during this period. Further, financial development significantly improves innovation. However, FDI hampers innovation. Lastly, industrial structure adjustment promotes innovation. The paper suggests that China improve the technological skills of local firms and its human capital and introduce high-quality and efficient foreign direct investment to achieve an innovation-driven economic growth.

Role of research and development in green economic growth through renewable energy development: Empirical evidence from South Asia

The study focuses on examining the impact of R&D and industrialization on green economic growth. Financial assistance for environmentally friendly initiatives, the advancement of new technologies, and the growth of a green economy may all be achieved via green financing. Because of this, it is a key driver of green economic development and industrial structural change. This investigates the impact of renewable energy, R&D, and industrialization on the green economic growth of the South Asian region from 2008 to 2020. The endogeneity of this connection is addressed using a two-step ordinary least square (O.L.S.). The findings show that upgrading industries and R&D reduce carbon emissions and achieve green economic recovery. As a result, 33.4% of the energy was saved, and 35.2% of the emissions were reduced. The partial mediation impact findings show the policy's affecting framework. The empirical results showed that technology spillover had the most responsibility to minimize tiers of CO2 emissions, accompanied by improvements in industrial structure change. Our findings suggest that developing nations gain more from the industrialization initiative than developed countries because of the stronger economic impacts of the strategy.

Real Drivers and Spatial Characteristics of CO2 Emissions from Animal Husbandry: A Regional Empirical Study of China

(1) Studying the driving factors and spatiotemporal characteristics of China’s regional animal husbandry emissions is highly relevant to policy formulation. (2) Methods: We calculated the total CO2 equivalent emissions of animal husbandry across the country and each province separately, and then used the Logarithmic Mean Divisia Index (LMDI) to analyze how the driving forces of animal husbandry emissions changed across the country and in different provinces from 2001 to 2019. (3) Results: ① During the period 2001–2019, national animal husbandry carbon emissions showed an overall downward trend. Economic growth and population contributed positively to the emissions (which means more CO2), while technological advancement, structural change in agriculture, and change in the national industrial structure had negative effects (which means less CO2). ② Using aspects of provincial animal husbandry, we categorized 31 provinces into four types: fluctuating rising, fast falling, slow falling, and steadily falling. Then, according to the magnitude of the different driving forces in different provinces, we classified 31 provinces into three types: economic structure adjustment-driven, technological progress-driven, and economic growth-driven. ③ The driving effects of agricultural structural change and population in some provinces are not consistent with the effects shown at the national level.

The impact of new urbanization and industrial structural changes on regional water stress based on water footprints

• Both usage and pollution are reflected in the water stress index. • Regional water stress in China has a significant spatial autocorrelation. • New urbanization can increase water stress in surrounding areas. • New urbanization has a threshold effect on water stress. • Industrial structural change has a threshold effect on water stress. New urbanization and industrial structural changes have created new pressures on regional water resources. This study takes 31 Chinese provinces as the research objects and innovatively calculates their water stress from the perspective of water footprints. On this basis, the spatial Durbin model is used to explore the spatial effects of new urbanization, industrial structural changes and their interaction on water stress. Additionally, the panel threshold model is used to dig deeper into the threshold effects of the relationship between new urbanization and industrial structural changes on water stress, enriching the regional research on water stress. We find that water stress is the highest in central and eastern China, and water stress and new urbanization are spatially autocorrelated. Furthermore, new urbanization can increase water stress in the surrounding areas, but its interaction with industrial structural changes can alleviate water stress in the surrounding areas and the mitigation effect of the interaction is stronger than that produced solely industrial structural change. Lastly, regarding new urbanization and industrial structural change, both of them may be able to alleviate water stress before the other crosses the threshold value.

Urban-Industrial Development and Regional Economic Growth in a Developing Country: A Spatial Econometric Approach

This paper explored the effects of urbanization and industrial structure change in contemporary China using the data of 26 cities in the Yangtze River Delta (YRD) between 2006 and 2017. We analyzed the spatial characteristics of the regional economic growth by calculating the Global Moran’s I and the Local Moran’s I. We investigated the relationship between urbanization, industrial structure upgrade, and economic growth through a spatial econometric approach and tested the panel thresholds. Our findings included: (1) spatial autocorrelation is an important driver of urbanization and industrial structure upgrade; (2) the upgrade of the industrial structure leads to a structural economic deceleration which slows down the regional economic growth in the YRD; however, the positive effect of industrial structure upgrade on the regional economic growth still exists; (3) a synergy effect of New-type Urbanization and industrial structural upgrade positively affects the economic growth in the YRD; (4) the empirical results indicate that only when urbanization and industrial structural upgrade develop coordinately, will they play better roles in promoting the economic growth.

The effect of changes in industrial structure on carbon dioxide emissions in Iranian provinces: A spatial econometric approach

سابقه و هدف: با توجه به کارکردهایی که محیط ­زیست برای جامعه بشری دارد، مسئله­ های مربوط به آلودگی محیط­ زیست از اهمیت بالایی برخوردار است. آلودگی هوا از جمله مصادیق آلودگی محیط ­زیست می ­باشد که در دهه ­های اخیر بیشتر مورد توجه قرار­گرفته است. براساس ادبیات اقتصادی، یکی از عامل­ های مهم در انتشار آلاینده­ های هوا، صنعتی شدن فعالیت­ های اقتصادی و ساختار تولید در بخش صنعت می ­باشد. بر این اساس هدف از این تحقیق، بررسی اثرهای مستقیم و غیرمستقیم (سرریز) تغییر ساختار تولید در بخش صنعت بر انتشار دی اکسیدکربن ناشی از مصرف انرژی می ­باشد.موارد و روش ­ها: این تحقیق با استفاده از الگوی اقتصادسنجی فضایی، طی سال­ های 1394 - 1387، برای 30 استان ایران انجام شده است. برای محاسبه سنجه تغییر ساختار تولید در این مطالعه از سنجه تغییرات ساختاری ارائه شده توسط Lilien (2012)استفاده شده است. قبل از تخمین مدل ابتدا برای بررسی پایایی متغیرها، آزمون ریشه واحد لوین، لین، چو (LLC)1 برآورد شده است و در نهایت بعد از انجام آزمون هاسمن و آزمون­ های تشخیص والد و والد چندگانه طبق نتایج به ­دست آمده از آزمون ­های بیان شده مدل دوربین فضایی با اثرهای تصادفی مکانی برآورد شده است.نتایج و بحث: براساس نتایج به ­دست آمده از آزمون ریشه واحد لوین، لین، چو (LLC) همه متغیرهای مدل در سطح پایا هستند. انجام آزمون هاسمن نیز برآورد را به روش تصادفی پیشنهاد می ­کند. براساس نتایج حاصل از تخمین مدل تأثیر تولید ناخالص داخلی سرانه بر انتشار دی ­اکسیدکربن مثبت و معنادار می ­باشد؛ اگر تولید ناخالص داخلی سرانه یک درصد افزایش یابد، انتشار دی ­اکسیدکربن به مقدار 22/0 درصد افزایش می ­یابد. تأثیر شدت انرژی بر انتشار دی ­اکسیدکربن مثبت و معنادار است؛ اگر شدت انرژی یک درصد افزایش پیدا کند، انتشار دی ­اکسیدکربن 06/0 درصد افزایش می­ یابد. تأثیر جمعیت بر انتشار دی ­اکسیدکربن مثبت و معنادار است؛ اگر جمعیت یک درصد افزایش یابد؛ انتشار دی­ اکسیدکربن 95/0 درصد افزایش می ­یابد. تأثیر تغییرات ساختار صنعتی بر انتشار دی­ اکسید­کربن منفی و بی­ معنا بوده است؛ این به معنای آن است که ساختار صنعتی در استان­ های مختلف در راستای کاهش انتشار دی­ا کسیدکربن تغییر نموده است، اگرچه سهم این تغییرات در کاهش این آلاینده ناچیز بوده است. از سوی دیگر، تأثیرگذاری فضایی تغییرات ساختار صنعتی بر انتشار دی اکسیدکربن منفی و معنادار می­ باشد. ضریب مربوط به اثرهای سرریزی صنعتی شدن نشان می ­دهد که اگر سنجه تغییرات ساختار صنعتی به میزان یک درصد افزایش پیدا کند، انتشار دی ­اکسیدکربن در منطقه ­های مجاور به مقدار 03/0 درصد کاهش پیدا می­ کند.نتیجه ­گیری: تخمین مدل نشان داده است که تغییر ساختار صنعت دارای اثر مستقیم و منفی بر انتشار کربن در استان ­ها داشته است. این امر نشان می­ دهد که ساختار صنعت در استان­ های مختلف به سمت صنایعی تغییر کرده است که میزان انتشار دی ­اکسیدکربن در آن­ها کمتر بوده است. یکی از دلیل­ های این امر می­ تواند افزایش سهم زیربخش­ هایی از صنعت باشد که شدت مصرف انرژی آن­ها پایین است. دلیل دیگر این امر نیز می ­تواند افزایش سهم بخش ­هایی باشد که از انرژی ­های فسیلی با آلایندگی کمتر استفاده می ­کنند. نتایج دیگر مدل نشان داده است که تغییر ساختار تولید در بخش صنعت استان­ ها اثرهای غیرمستقیم (سرریزی) منفی بر تولید استان ­ها داشته است. براساس نتایج مدل، پیشنهاد می ­شود تا سیاست­ هایی اتخاذ شود تا انتقال عوامل و منابع از بخش­ هایی که بازدهی پایین دارند به سمت بخش ­هایی که بازدهی بالا دارند، صورت گیرد. همچنین سیاست­ های بهینه ­سازی مصرف انرژی در زیربخش ­های صنعتی با شدت انرژی بالا و زیربخش ­هایی که از سوخت­ های فسیلی با ضریب انتشار بالا مانند گازوئیل و نفت کوره استفاده می­ کنند، مورد توجه قرار گیرد.

Trade liberalization, domestic reforms, and income inequality: Evidence from Taiwan

AbstractThis paper estimates the effects of trade liberalization on household income inequality and investigates whether trade liberalization or domestic reforms are the main factors influencing increasing inequality in Taiwan, a middle‐income open economy. We construct an empirical model by decomposing the sources of household disposable income in the quintile ratio and separate trade partners into OECD (Organisation for Economic Co‐operation and Development) and non‐OECD countries. Using time‐series data to estimate the long‐run effect, we find that net exports to OECD countries increase inequality, whereas net exports to non‐OECD countries insignificantly decrease inequality. This finding diverges from the prediction based on the Stolper–Samuelson theorem. Overall, trade liberalization increases income inequality, and the effect is mainly attributed to net exports to OECD countries. Moreover, we provide evidence that domestic reforms, particularly technological progress in favor of skilled labor and industrial structural change, rather than trade liberalization, are the main driving forces of income inequality.

The impact of energy industry structure adjustment on digital media application technology

The adjustment of the energy industry structure is affected by many factors such as natural conditions, social conditions, economic development speed, industrial structure, and policy and technological development level. This paper studies the factors affecting the effectiveness of the energy industry’s structural adjustment and supply structure and the effectiveness of the supply structure of digital media application technology talents, and clarifies the various factors that affect the effectiveness of the digital media application technology talent structure to achieve low carbonization in this structure. The internal reason of the effect, and the rules for the interconnection and interaction of various elements under certain conditions. In view of the deficiencies of existing research, this paper proposes the narrow and broad impacts of industrial structure adjustment on energy intensity. The former refers to the changes in energy intensity caused by pure changes in industrial structure, and the latter refers to changes in industrial structure through economic operations. The comprehensive impact of various variables on energy intensity. Theoretical analysis shows that the rationalization and advancement of the energy industry structure is conducive to the growth of employment in digital media application technology and the change in the employment structure of digital media application technology. The adjustment of industrial structure has potential and long-term effects on the employment of digital media application technology professionals. Therefore, while optimizing the industrial structure, we should also accelerate the professional transformation of digital media application technology, especially the active research and development of new technologies, including the use of low-emission or even zero-emission energy use technologies, such as the comprehensive utilization technology of solar and wind energy, and high-tech The production technology, environmental protection technology, energy-saving technology, etc. of the technology industry will take a new road to industrialization.

The decoupling relationship between China’s economic growth and carbon emissions from the perspective of industrial structure

This study analyses the decoupling relationship between energy-related CO 2 emissions and economic growth in China from 2000-2017 from the perspective of industrial structure using the LMDI method and Tapio decoupling model. The decoupling driving force was decomposed into emission, energy intensity, industrial structure, economic activity, and population factors. Studies have shown that the restructuring of China’s industries has not led to a significant increase in CO 2 emissions. Specifically, from 2000 to 2017, China’s economic development and carbon emissions are generally in a weak decoupling state. Strong decoupling occurred from 2000 to 2001 and from 2013 to 2016. The industrial structure change has a substantial impact on the primary sector (agriculture), followed by the tertiary sector (services), while the impact on the secondary sector (industry) is negligible. The GDP contribution of the primary industry is small, but it is an indispensable guarantee for a country. With the development of agricultural mechanization and technology, human and animal power in this industry has been decreasing year by year, and large-scale planting has improved energy efficiency. The level of technology should be continuously strengthened to promote the decoupling of carbon emissions. The contribution of the secondary industry to GDP is around 40%, but the secondary industry accounts for more than 80% of CO 2 emissions, mainly caused by the use of fossil energy. In 2017, fossil energy still accounted for about 86.2% of China’s energy consumption, so fossil energy remains the most critical energy source for China’s economic development. Coal, in turn, accounts for the largest share of fossil energy consumption. Therefore, emphasis should be placed on increasing technological innovation and conversion from fossil to non-fossil energy sources. The Chinese government considers the service industry a new engine for sustainable social and economic development. The contribution of the tertiary sector to GDP has increased from 2000 to 2017, followed by resource and environmental problems. Although the current share of CO 2 emissions directly caused by the tertiary sector is not high, as the tertiary sector continues to grow, plans to reduce the decoupling of carbon emissions from the tertiary sector should be made in advance.

Mesoeconomic Modeling of Structural Shifts of the Us Industry: Industry and Spatial Components

The evolution of socio-economic relations, studied in the dynamics of the development of such a phenomenon as structural changes in industry caused by the diffusion of knowledge-intensive technologies of a convergent type, is most consistently revealed within the framework of the mesoeconomic production system of the country level, through appropriate modeling of characteristic objects and processes. The mesoeconomic modeling of the industrial sector of the American economy, which entered a qualitatively new period of reindustrial development a decade ago, seems relevant. The aim of this study is to use elements and modeling systems that meet the requirements of sectoral and regional mesoeconomics to assess the structural shifts that took place in the US industry in the period 2011–2020 under the influence of convergent technologies. To solve this problem, the DEA-method is used, developed and tested by the American scientists and is aimed at calculating the convergent resonance index and the indicator of the comparative efficiency of the objects under study. Based on the results of constructing models of the technological efficiency of the US industry in space-time, oriented to the input and output parameters, an assessment of the structural shifts of the American industry, both sectoral and spatial-regional components of the US mesoeconomic system, is presented. The conclusion is made about the generally successful structural modernization of American industry in the inter-crisis period, characterized as the initial stage of the reindustrial development of the United States on the basis of convergent technologies of the sixth technological order. The problems of the initial stage of American reindustrialization associated with a small increase in industrial production within the framework of the national knowledge economy and the strengthening of structural imbalances in its spatial development are identified. At the same time, a high level of efficiency of modernization of the main industries of the United States in the considered period of time was noted, associated with the active diffusion of convergent technologies.

Mineral resources strategy and scientific-based management

The paper discusses the issues of implementation of the Mineral Resources Strategy of the Russian Federation till 2035. The main objective is to develop a coordinated regional strategy that takes into account the planned structural changes in industry for the implementation of priority programs of engineering, metallurgy, industry of building materials and other industries, based on Russian and the world trends of minerals consumption in conditions of deterioration of quality and availability of raw materials. The paper formulates the main regional organizational and technological conditions to form the mineral resources programs with regard to the main trends of development and predicted technological changes in the mining industry.

A Short Term Forecasting Method for Regional Power Consumption Considering Related Factors

Analysis and prediction of power consumption law is the basis of power grid planning and construction, and is also an effective guide for energy demand side management. With the rapid development of economy and the complex change of industrial structure in recent years, the internal structure of power demand is changing to some extent. Therefore, a short-term forecasting method of regional electricity consumption considering the related factors is proposed. Based on the analysis results, a short-term prediction model of regional electricity consumption considering the related factors is established, and the short-term prediction is realized by the calculation of the model. Through the example analysis, it is verified that the forecasting deviation of the short-term forecasting method is low and meets the basic requirements of electric quantity forecasting.

УПРАВЛЕНИЕ ЧЕЛОВЕЧЕСКИМ КАПИТАЛОМ ПРИ СТРУКТУРНЫХ ИЗМЕНЕНИЯХ В ПРОМЫШЛЕННОСТИ: ВЛИЯНИЕ НА ЭКОНОМИЧЕСКОЕ РАЗВИТИЕ РЕГИОНА

This article is devoted to the development of a set of measures to improve the management of human capital of workers of pre-retirement age in the interests of the economic development of the region with structural changes in industry. The study has been conducted on the example of the Altai Republic. The object of the study is the pension reform and its impact on the management of human capital, the subject of the study is the processes of managing the human capital of workers of pre-retirement age in the Altai Republic. Theoretical and methodological foundations for assessing the implementation of the pension reform and its impact on the management of human capital in the region with structural changes in industry have been studied. The concept of "human capital" is considered and people of pre-retirement age and pensioners are singled out in a separate category. The general criteria for assessing human capital in Russia are considered; the experience of foreign countries in terms of pension provision of the population is given. The analysis of the processes of evaluating the implementation of the pension reform and its impact on the management of human capital in the Altai Republic has been carried out. An assessment of the impact of the pension reform on the management of human capital in the region with structural changes in industry is made. It is noted that there is a constant increase in the proportion of people of pre-retirement age, the use of the human capital of these workers, which is of high quality, is an urgent topic that requires special research. Social projects are aimed at improving the quality of the human capital of older people. The aim of the study is theoretical issues and methodological recommendations for human capital management. The object of study is the processes that determine the directions and ensure the efficiency of the use of human capital. The following methods are used in the process of the study: monographic, abstract-logical, sociological, calculation-constructive. A set of measures is proposed to improve the implementation of the pension reform and its impact on human capital management in the Altai Republic, including the development of a regional employment program for people of pre-retirement age; allocation of job quotas for the employment of pensioners; improve the system of calculating pensions in connection with the new conditions for retirement, etc

Study on the Impact of Industrial Structure on Carbon Emissions in Sichuan Province -- Empirical Analysis Based on VAR Model

This paper analyses the dynamic relationship between industrial structure and carbon emissions in Sichuan Province using VAR models, using data on industrial structure and 8 carbon emissions of major energy consumption in Sichuan Province from 2001-2018. The results of the study show that in the short term, the advanced industrial structure will suppress the growth of carbon emissions, and the change in industrial structure, i.e., the increase in the share of secondary industry, will lead to an increase in carbon emissions; in the long term, the optimization of industrial structure has a significant impact on carbon emissions and specifically shows a suppressive effect. Therefore, in the short term, upgrading the industrial structure will not immediately reduce carbon emissions, but in the long term, adjusting the industrial structure is an important measure to reduce carbon emissions. In order to develop a low-carbon economy and accelerate the construction of a "clean energy demonstration province", Sichuan Province needs to optimise and upgrade its industrial structure, and specific measures are suggested, including: strengthening the role of regional radiation and promoting the balanced development of industries between regions; making full use of the province's human resources, increasing investment in research and development, and creating an important industrial cluster in China; strengthening the cooperation between Chengdu and Chongqing to promote the transformation and upgrading of the industrial structure.

Industrial Digitalization in China: Literature Review and Research Prospects

Facing the new development stage of the "14th Five-year Plan", high-quality development has become the theme of China's economic and social development, putting forward new requirements for industrial digitalization. However, the depth and systematicness of the existing literature on China's industrial digitalization research is insufficient. In view of this, this paper systematically combs the research results and context of China's industrial digitalization, and combines specific economic practice, in order to promote the deepening and systematization of research in this field, and provide reference for promoting China's industrial digital transformation. Firstly, the connotation and denotation of industrial digitalization are defined based on relevant domestic researches, and its characteristics are clarified. Secondly, combined with the changes of industrial structure, this paper summarizes the three driving modes of China's industrial digitalization: the backward-forcing mode dominated by social motivation, the integration mode dominated by technology motivation and the value-added service mode dominated by innovation motivation. Thirdly, the formation mechanism of the industry chain being reshaped by digitalization is summarized and interpreted; Finally, the future research is prospected to provide feasible directions and ideas for further expanding and deepening the research of industrial digitalization in China.

СТРАТЕГІЧНІ НАПРЯМИ ДЕРЖАВНОЇ ПОЛІТИКИ ВІДНОВЛЕННЯ ТА РЕСТРУКТУРИЗАЦІЇ ПРОМИСЛОВОСТІ НА ІННОВАЦІЙНІЙ ОСНОВІ

Introduction. For Ukraine, which, despite the broad international support for economic recovery and further socio-economic development, the strategic directions for innovative restructuring of the industry have not yet been finally formed. And the initiatives from the industrial sector representatives are not systematic and do not provide an integrated approach to the development of an innovative industrial development strategy. Careful planning will expand the local production and innovation base, promote the restructuring of the industrial sector to create products with higher added value. The paper is focused on studying foreign experience in identifying strategic directions and tools for their implementation to stimulate innovative renewal and restructuring of the industrial sector on new technological foundations. Materials and methods. The methodological basis of the research is general and special scientific methods: analysis and synthesis, in particular, elements of the case study and logical-historical analysis; deduction and induction; comparisons and generalization; institutional analysis; meta-analysis; statistical and tabular methods. The information base of the study was made up of statistical materials of the World Bank and Eurostat. Results and discussion. The innovative development of the industry depends on the nature of the market and public institutions, which have formed a certain type of business system. According to the theory of R. Whitley, six such systems are distinguished, differing in the degree of control of the owners, coordination between the state and the market, the degree of state intervention and interaction with employees. On the example of Denmark, Spain, China, Japan and other countries, the ways of innovative industrial restructuring in different business systems are demonstrated. An analysis of foreign experience has revealed two key areas of post-crisis industrial development strategies: public financing of innovative activities and high-tech sectors or market liberalization and the formation of effective mechanisms for structural changes in industry in basis of market signals. It is determined that Ukraine is characterized by a fragmented business system, which complicates the choice of approach to the strategy of industrial development. Conclusions. Despite hostilities in Ukraine, in order to ensure its competitiveness in the future, it is necessary to take advantage of the window of opportunity that opens up global competition and socio-economic and technological challenges by developing an integrated industrial strategy to address complex issues and interdependencies on the principles of "triple helix". Such a strategy should proceed from the type of innovative development business system, the existing institutional characteristics of the state and taking into account the structural and institutional changes that will occur in the state under the influence of fulfilling the conditions for entering the EU and compliance with technical regulations and the needs of the European and other promising markets.