Stages Of Industrial Development Research Articles

Analysis of Multi-Stakeholder Behavioral Strategies in the Construction and Demolition Waste Recycling Industry through an Evolutionary Game Theory

Construction and demolition waste (C&DW) recycling products have drawn worldwide attention over the past few decades. There is a general agreement among researchers that C&DW recycling is an important means for curbing the deterioration of the environment. Previous papers mainly focused on the decision-making behavior of dual stakeholders or tripartite stakeholders, as well as the lack of cooperation among multiple stakeholders. This study explored a dynamic evolutionary game model with three different parameter conditions to research the decision-making behaviors and stable strategies of the multi-stakeholders involved in the C&DW recycling product industry, including government departments and some enterprises. This research also investigated how the government’s supervision costs, penalties applied to enterprises, and resource taxes affect the dynamic evolution process of C&DW recycling. This research conducted numerical simulations using Python to analyze stakeholders’ behavioral evolutionarily stable strategy (ESS) and the sensitivity to main factors in each stage of the C&DW recycling process to accelerate the development of construction waste resource utilization. Based on the results of the evolutionary game, this paper proposed that the roles of multi-stakeholders are different at different stages of industry development, and that supervision costs, penalties, and resource tax have their own impacts on the C&DW recycling product industry. The paper suggests a range of discussions and simulation studies to highlight the significance of the government’s refined and moderate adjustments to the regulatory incentive system and the level of government regulation and involvement at different stages of the process. These adjustments are aimed at promoting the sustainable recycling and utilization of construction and demolition waste (C&DW) products within some countries’ construction industry.

Technological Analysis of the Production of Nickel-Containing Composite Materials

The article presents the results of obtaining a composite material by sintering nickel-containing raw materials mixed with carbon-containing materials, namely using coke and semi-coke. The sintering process was performed at a charge layer height of 240 mm and the temperature of the lower layer was T = 1200 °C. The results of the sieve analysis showed (a fraction of 10 mm) that the yield of a suitable composite material using coke was 68.3% and with semi-coke 67.0%. The average nickel and chromium content in the composite materials was 1.42% and 3.07%, accordingly. As a result of determining the strength characteristics of the obtained composite materials with various reducing agents by dropping from a height of 2 m onto a steel pallet, it was found that the obtained composite materials have high mechanical properties in terms of strength of 81% and 89.2%. The results of the elemental composition at the studied points and the thermal analysis of the studied composite material are presented. The mineralogical composition of the composite material is presented in the form of serpentine and nontronite, and the empty rock is made of quartz and talc. The activation energy of thermal analysis by the method of non-isothermal kinetics were calculated. The results of experiments on the production of composite materials from nickel-containing raw materials will be recommended for obtaining the optimal composition of composite materials at the stage of pilot tests and industrial development of the developed technology for processing nickel ores of the Republic of Kazakhstan. For the processing of nickel-poor nickel ores, it is of great importance to obtain optimal technological and technical and economic indicators that ensure low cost of nickel in the resulting product.

Development, challenges and strategies of natural gas industry under carbon neutral target in China

In the mid-21st century, natural gas will enter its golden age, and the era of natural gas is arriving. This paper reviews the development stages of global natural gas industry and the enlightenment of American shale gas revolution, summarizes the development history and achievements of the natural gas industry in China, analyzes the status and challenges of natural gas in the green and low-carbon energy transition, and puts forward the natural gas industry development strategies under carbon neutral target in China. The natural gas industry in China has experienced three periods: start, growth, and leap forward. At present, China has become the fourth largest natural gas producer and third largest natural gas consumer in the world, and has made great achievements in natural gas exploration and development theory and technology, providing important support for the growth of production and reserves. China has set its goal of carbon neutrality to promote green and sustainable development, which brings opportunities and challenges for natural gas industry. Natural gas has significant low-carbon advantages, and gas-electric peak shaving boosts new energy development; the difficulty and cost of development are more prominent. For the national energy security and harmonious development between economy and ecology under the carbon neutral goal, based on the principle of “comprehensive planning, technological innovation, multi-energy complementarity, diversified integration, flexibility and efficiency, optimization and upgrading”, the construction of the production-supply- storage-marketing system has to be improved so as to boost the development of the natural gas industry. First, it is necessary to strengthen efforts in the exploration and development of natural gas, making projects and arrangement in key exploration and development areas, meanwhile, it is urgent to make breakthroughs in key science theories and technologies, so as to increase reserve and production. Second, it should promote green and innovative development of the natural gas by developing new techniques, expanding new fields and integrating with new energy. Third, there is a demand to realize transformation and upgrading of the supply and demand structure of natural gas by strengthening the layout of pipeline gas, liquefied natural gas and the construction of underground gas storage, establishing reserve system for improving abilities of emergency response and adjustment, raising the proportion of natural gas in the primary energy consumption and contributing to the transformation of energy consumption structure, realizing low-carbon resources utilization and clean energy consumption.

Computational studies of electromagnetic field propagation and deforming of structural elements for a thin-walled curved workpiece and an inductor

Introduction. At the present stage of industrial development, the electromagnetic field is widely used in various technological processes. The force effect of an electromagnetic field on conductive materials is used in a class of technological operations called electromagnetic forming. Problem. Under the conditions of electromagnetic forming, the main element of the technological equipment – the inductor – is simultaneously subjected to the force impact with the workpiece. At certain levels of the electromagnetic field, the deformation of the inductor becomes so significant that it can lead to a loss of its efficiency. Goal. Computational analysis of a thin-walled curved workpiece and a two-turn inductor under the conditions of electromagnetic processing of the workpiece corner zone. Determining the distribution of quantitative characteristics of the electromagnetic field and the stress-strain state and conducting assessments based on them regarding the efficiency of the technological operation. Methodology. Computational modeling using the finite element method as a method of numerical analysis. The results on the distribution of quantitative characteristics of the electromagnetic field and components of the stress-strain state for a thin-walled workpiece and an inductor are obtained. It is shown that for the specified characteristics of the technological operation, the inductor remains operational, and plastic deformations occur in the workpiece. A series of calculations were carried out, in which some parameters of the technological system were varied. Originality. For the first time, the results of the calculation analysis of the quantitative characteristics distribution of the electromagnetic field of the deformation process for the «inductor – thin-walled curved workpiece» system are presented. Practical value. The presented design scheme of a curved thin-walled workpiece and a two-turn inductor, the method of calculation analysis and some obtained results can be used in the analysis of electromagnetic processing of thin-walled structures that contain curved elements.

Influencing factors of different development stages of green food industry: a system dynamic model

The green food industry is important for China because it bears the additional expectation of promoting the rural economy Heilongjiang Province is a representative example, which is one of the main production bases of green food With this in mind, this paper takes Heilongjiang Province as an example to research the main influencing factor of the green food industry This article uses system dynamics methods to construct research models and uses mathematical models to calculate the industry lifecycle. Different from previous studies, this paper provides the life cycle of the industry and discusses the effects of influencing factors during the different periods The main conclusion includes: The stage before 2011 is the termination period, the stage from 2011 to 2019 is the growth period, and the stage after 2019 is the property period By the final time of the simulation, there are no signs of filtering; The enterprise scale is the main influencing factor that can make positive effects on the output value of the green food industry from the growth period, and others have no objective impact from beginning to end; Undesirably high level of financial investment will execute a negative effect for industrial development in the property period, at least in terms of output value.

Minerageny of Jurassic deposits of the northeastern side of the Ulyanovsk-Saratov depression

The Jurassic terrigenous-clayey complex on the territory of the northeastern side of the Ulyanovsk-Saratov depression contains numerous groups of solid minerals. Some of them are at the stages of industrial development, some have not found application due to local distribution. Analysis of the composition and conditions of formation of solid mineral raw materials showed that the main factor influencing the formation of minerals was the marginal position of the territory in the Middle-Upper Jurassic time. The relatively high bioproductivity of the epicontinental Central Russian paleosea contributed to the accumulation of layers of calcareous marls, oil shale and phosphate raw materials. All these rocks were formed in the Mesozoic basin of sedimentation with the active participation of organic matter, the producers of which were zoo- and phytoplankton. The accumulation of coccolithophora in clayey silts led to the formation of calcareous marls, the accumulation of dying algae in bottom sediments led to the formation of oil shale. Nodular phosphorites are also biochemogenic raw materials. During periods of regressive development of the Central Russian paleosea along the coast, conditions were created for the accumulation of oolitic siderites together with leguminous goethite-hydrogethite aggregates of iron ores. Periodically, regional faults were activated on the northeastern edge of the Ulnovsko-Saratov depression. At this time, there was an upward migration of deep mineralized fluids through weakened zones. Unloading in the bottom part of the Central Russian paleosea, they contributed to the formation of fields of pyrite and barite mineralization in sedimentary rocks.

RCEP 체결 이후 ASEAN 지역내 주요 산업 경쟁력 변화와 시사점

Purpose - This research seeks to assess the trade volume and international competitiveness of RCEP member countries post-agreement, taking into account the diverse economic structures within the ASEAN countries.
 Design/Methodology/Approach - This investigation focuses on three variables: exports, imports, and the trade specification index. A paired t-test was employed to measure the impact before and after the signing of RCEP.
 Findings - The results show that the trade characteristics of partner countries, including Korea, China, Japan, Australia, and New Zealand, are influenced by factors such as comparative advantage, industrial situation, and local market demand, as aligned with the industrial development stage of ASEAN countries.
 Research Implications - Despite the RCEP agreement, Korea appears inclined to enhance trade, particularly with less developed ASEAN countries, in order to offset solidifications within the domestic industry, high wages, and intensifying competition with China. In addition, except for the electronics industry, Korea’s contribution to the expansion of ASEAN market demand is limited. To foster a global value chain in ASEAN and broaden the ASEAN market, Korea needs to focus on product diversification targeting lower-income groups that share characteristics similar to those found at bottom of the pyramid, and establish systematic economic cooperation with other ASEAN countries which are not yet prepared for industrialization for sustainable economic development.

The Inspiration and Path Forward of Pan-Entertainment Industry Research Based on Global Vision for China

In recent years, with the rapid development of the Internet and fan economy, the pan-entertainment industry with IP development as the core (the full name of IP is intellectual property) has become an important way out for the development of the industry. This paper aims to systematically analyze the potential and possibility of the pan-entertainment industry through the study of the whole industrial chain of the upper, middle and lower reaches of the pan-entertainment industry. At present, China is still in the development stage of pan-entertainment industry, but pan-entertainment companies such as Alpha Group, Nanpai Pan-Entertainment and China Literature Group have been developing well in China in recent years, with comprehensive development of high-quality IP, attracting a certain scale of fans across the country and gaining high popularity in China. This paper mainly includes the research on the current situation of China's pan-entertainment industry chain, aiming to achieve the research on the current situation and future development feasibility of the domestic pan-entertainment industry; It also includes the case analysis of Alpha Group Entertainment Company, aiming to draw the experience of the development of domestic pan-entertainment industry through the research of domestic leading enterprises, and provide successful case experience for other pan-entertainment companies in China.

Особенности создания систем автоматического контроля загрязняющих веществ от стационарных источников выбросов

At the present stage of industrial development, there is a tendency to strengthen environmental control over objects that have a negative impact on the environment (NIE). Enterprises of heat and power, ferrous and non-ferrous metallurgy, oil and gas processing, chemical and petrochemical industries cause the greatest harm to the environment by emitting mainly sulfur dioxide, carbon monoxide, nitrogen dioxide, hydrocarbons, suspended solids into the atmosphere. In order to control the quantity of emitted pollutants at the legislative level it is mandatory to equip stationary emission sources of the 1st category objects of NIE with continuous automatic control systems (SAC). The implementation of the SAC is relevant due to the currently limited number of enterprises with SAC. The aim of the study is to consider the features of the creation SAC of stationary sources of emissions, their composition, functional purpose and implementation in industrial enterprises.

CLOTHING MARKET: IMPACT OF INDUSTRIAL REVOLUTIONS, TRENDS AND PERSPECTIVES

Eter Kharaishvili 
 E-mail: eter.kharaishvili@tsu.ge 
 Professor, Economics and Business Faculty of Ivane Javakhishvili Tbilisi State University 
 Tbilisi, Georgia
 https://orcid.org/0000-0003-4013-7354 
 
 Nino Lobzhanidze 
 E-mail: nino.lobzhanidze@tsu.ge 
 Assistant Professor, Economics and Business Faculty of Ivane Javakhishvili Tbilisi State University 
 Tbilisi, Georgia
 https://orcid.org/0000-0001-5830-6924
 
 Abstract: The article evaluates the role of the clothing industry in the economic development and well-being of countries. Based on bibliographic research, it analyzes the main trends in the garment sector, considering historical, economic, political, social, and other factors that influence the development of the clothing industry.
 It is argued that historical industrial revolutions have had the most profound impact on the primary directions of the textile industry and the guiding principles of market development. Consequently, the key stages of garment industry development and market improvement are assessed in light of four industrial revolutions.
 By using global textile industry data, the study derives the current trend and the sector's development perspective while also assessing the clothing industry's negative impact on the environment.
 Based on the comparative analysis and development trends of textile and clothing production in Georgia, the main indicators of the sector are analyzed. 
 The study utilizes bibliographic research, analysis, synthesis, comparison, expert, matrix, factorial, and other methods. It evaluates sector-related theoretical and empirical materials and reports.
 The findings provide insights into the textile market's development prospects, and recommendations for potential directions in industry development are offered.

AN INTELLIGENT MULTI-SENSOR SYSTEM FOR IDENTIFICATION AND ASSESSMENT OF THE TECHNICAL CONDITION OF ELECTRICAL EQUIPMENT USING WI-FI

The modern stage of industrial development is characterized by an increasing need for systems to monitor the condition and efficient functioning of electrical equipment. Breakdown or unplanned stoppage of an electromechanical system engine is accompanied by significant economic losses for enterprises. Therefore, the current stage of industrial development is characterized by an increasing need for systems for monitoring the condition and efficient functioning of electrical equipment.
 As a result, due to the rapid development of precision manufacturing technologies, many studies have been conducted in the field of multi-sensor measurement and data fusion technologies to improve monitoring capabilities in terms of measurement accuracy and information richness, thereby increasing production efficiency and accuracy. In a multi-sensor system, each sensor independently measures certain parameters. The system then uses an appropriate signal processing algorithm to combine all the independent measurements into a complete set of measurement results.
 An accurate assessment of the technical condition makes it possible to predict the term of the next repair of the equipment, increases the reliability and efficiency of its operation, reduces the damage from downtime of the equipment due to accidents, the costs of repair and restoration of operability, reduces the costs of maintenance and operation of the equipment.
 This article presents an overview of an intelligent multi-sensor system for monitoring the process and technological state of electrical equipment. Which in real time with the help of sensors makes it possible to obtain information from the environment and draw conclusions about the condition of the diagnosed equipment. The technology of an intelligent multi-sensor system for identification and assessment of the technical condition of electrical equipment has prospects for wide application in industries. Thanks to the most compact dimensions of the installation, we have the opportunity to take measurements in hard-to-reach places, without removing the equipment from work, which minimizes losses from downtime. Also, the use of this system allows detecting the development of a defect in the early stages of development, which prevents and significantly reduces the cost of repairing power equipment when it is out of service.

Can industrial intelligence break the carbon curse of natural resources in the context of Post-Covid-19 period? Fresh evidence from China

During the Post-Covid-19 era, the industrial industry is progressing towards technological innovation and intelligence. Industrial intelligence is anticipated to emerge as a significant determinant of carbon emissions. Additionally, the carbon curse of natural resources has impeded the region's progress towards green development. To address these challenges, industrial intelligence has emerged as a pivotal approach for achieving carbon emission reduction and mitigating the carbon curse. Based on panel data collected from 282 cities in China from 2006 to 2019, this study first investigate the validity of the carbon curse phenomenon of natural resources. Additionally, it explores the heterogeneity of this phenomenon. Furthermore, the study examines the nonlinear influence of natural resource dependence on carbon emission intensity in various stages of industrial intelligence development (namely, low, medium, and high stages) using a threshold effect model. The results show that: (1) Natural resource dependence can significantly promote carbon emission intensity. This conclusion remains robust even after employing endogenous treatment and conducting a series of rigorous tests. (2) Heterogeneity analysis reveals that the carbon curse phenomenon of natural resources exhibits significant variations due to urban resource endowment, policy development stage, and regional characteristics. (3) The threshold effect model demonstrates that if the level of industrial intelligence is below 0.022, it exacerbates the carbon curse of natural resources. When the industrial intelligence level is within the range of [0.022, 0.944], it has a mitigating effect on the carbon curse of natural resources. When the industrial intelligence level surpasses 0.944, the carbon curse of natural resources can be broken.

Impacts of subsidy reallocation policy on the innovative performance: Empirical evidence from photovoltaic industry in China

Given the fervent debates on the effect of subsidies around the world, this paper examines the relationship between the subsidy reallocation policy and innovative performance of the photovoltaic industry in China. We take the setting as China has announced its climate goal to peak carbon emissions before 2030 and reach carbon neutrality before 2060, which dramatically changes its subsidy policies as to the new energy industry by reallocating financial supports to the industry. By employing a difference-in-difference model, we find that reallocation of government grants improves the innovative performance. Then, we explore the detailed mechanism by which government subsidies may affect innovative performance of the photovoltaic industry and investigates the heterogeneity of industrial links, development stages, ownership attributes and credit environments of the photovoltaic industry.

Price, internet penetration and green food industry development: Based on the interaction between demand and supply.

The development of the green food industry can not only meet people's demand for high-quality food and promote the sustainable development of the ecological environment but also carry the additional expectation of realizing rural revitalization. Based on the data of Heilongjiang province from 2000-2021, we examined the dynamic effects of price fluctuations and Internet penetration on the green food industry using a system dynamics model. The empirical results showed that both price fluctuations and Internet penetration affect people's demand for green food, which in turn affects the development of the green food industry. The inhibitory effect of price fluctuation on green food industry is more obvious in the early stage of green food industry development, and Internet penetration always significantly promotes the development of green food industry. Moreover, the Internet penetration can effectively mitigate the negative impact of price fluctuation on the green food industry, and the impact becomes more significant with the increase of Internet penetration. The results of this study can help promote the sustainable development of the green food industry.

Knowledge Management: Efforts to Create an Excellent Digital Creative Industry

As a sub-sector of the creative industry, which is a priority in the third stage of national creative industry development, the digital creative industry should be further developed through appropriate strategies. The heart of the industry is ideal for creating creative digital products. If not managed, it is difficult to transform each individual's ideas into organizational knowledge. Knowledge management as a medium for managing ideas can transform individual knowledge into shared knowledge. This research is qualitative. The sampling technique used is targeted sampling. Respondents of this survey are digital creative businessmen from Bandung City who have a deep understanding of the knowledge management process. Data were collected by observational methods, questionnaire distribution, and in-depth interviews. The survey found that the digital creative industry in Bandung City is facing problems in implementing effective knowledge management. Personal knowledge, work processes, and possession of technology were not optimally implemented to complete the work.

Study on Spatial Evolution and Influencing Factors of High-quality Development of Logistics Industry in Yangtze River Economic Belt

The Yangtze River Economic Belt is not only an important hub for interaction and cooperation between the Middle East and the west, but also has a high-standard and efficient transportation network based on the Yellow River waterway construction. It is of great significance to study how its logistics industry can achieve high-quality development. Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2011 to 2020, this paper uses spatial autocorrelation model to determine the regional differences of high-quality logistics development, and explores the three major influencing factors of regional imbalance through geographically weighted regression analysis. It is found that there is a significant spatial positive correlation between the high-quality development of logistics in various provinces in the region, and the gap between upstream and downstream is obvious; At the same time, for economic factors, enterprise factors and population factors, the upstream region is more sensitive to population size, while the downstream region pays more attention to economic level, which reflects the different development stages of logistics industry in different regions. Therefore, it is the only way to grasp the different characteristics of different regions and realize overall coordination and high-quality industrial development according to local conditions.

Промышленная политика России в условиях вызовов глобальной трансформации: задачи теории и практики перехода к новому этапу индустриального развития (НИО.2)

Modern Russia, like the whole world, is going through a period of uncertainty and turbulence associated with a change in the long-term trajectory of development. This transformation creates new challenges for the Russian economy and society as a whole. The only effective strategy in these conditions is the reindustrialization of the economy on the basis of the VI technological order and movement towards the new stage of industrial development. The main challenge is the achievement of technological independence. The key tasks are ensuring a technological breakthrough; development of a knowledge-intensive production; creation of socio-economic relations that encourage the priority development of knowledge-intensive production. Particular attention is paid to the creation of a state planning system, the institutionalization of industrial policy strategic planning. Various options for its implementation are presented.

Industrial structure, high-quality development of logistics industry and the economy.

The logistics industry is closely related to the high-quality economic development. At different levels of industrial structure, the relationship between high-quality development of the logistics industry and the high-quality economic development will vary, resulting in different roles and paths in promoting economic development. However, there is still a lack of research on the relationship between high-quality development of the logistics industry and high-quality economic development at different levels of industrial structure, and further empirical research is needed. It used the benchmark regression model to analyze the impact of the high-quality development of the logistics industry on high-quality economic development, and the panel threshold model was used to analyze the impact of the logistics industry on high-quality economic development at different levels of industrial structure development. The results show that the high-quality development of the logistics industry has a positive role in promoting the high-quality economic development, and in different levels of industrial structure development, the impact of high-quality development level of logistics industry on the high-quality economic development is different. Therefore, it is necessary to further optimize the industrial structure, promote the deep integration and development of logistics and related industries, and continue to promote the high-quality development of the logistics industry. And when formulating development strategies for the logistics industry, governments and enterprises need to consider factors such as changes in industrial structure, the overall goals of national economy, people's livelihood, and social development, in order to provide solid support for achieving high-quality economic development. This paper demonstrates the importance of high-quality development of the logistics industry in high-quality economic development, and it encourages the adoption of different strategies at different stages of industrial structure development to promote high-quality development of the logistics industry, and achieve high-quality economic development.

Study on Effects of Land Use Change on Carbon Emissions in Beijing Tianjin Hebei region from 1990 to 2020

In order to deeply understand the impact of land use types on carbon effect, we choose the Beijing Tianjin Hebei region as the study area. By using the IPCC calculation method and the modified carbon emission calculation model, our paper estimates the carbon source and carbon sink effects of change in land use type in Hebei, Beijing and Tianjin from 1990 to 2020, and analyzes their temporal and spatial changes. The results show that: (1) Development of some factories has gradually shifted to Hebei, so its land area for industrial development has increased. The corresponding total energy consumption has also increased. (2) Construction land is the primary carbon source. The region is in the golden stage of urban construction and industrial development, and the regional infrastructure land will increase accordingly. The construction land will maintain a high growth trend over a long period. (3) Total carbon dioxide in this study area is increasing, and the massive carbon dioxide emissions of change in land use type is far greater than the amount of carbon dioxide absorbed.

A proposal of hazard analysis method using structured system theoretical process analysis

System Theoretic Process Analysis (STPA) is a method for analyzing hazards caused by interactions between components of an industrial product. STPA is applied in the upper stream stages of industrial product development, STPA detects hazards while referring to the whole configuration of the industrial product. Therefore, STPA generally does not deal with detailed information about the industrial product. Since the information on the industrial product is insufficient, it is difficult to clarify the factors of hazards, the occurrence order of factors, and the conditions that occur the hazard by STPA. Therefore, the following methods were added to the conventional STPA; the method of describing the components of industrial products in hierarchical detail, the method of clearly defining the behaviour of each component, and the method of tracking the structured CSD to clarify the causes of the hazard. By adding those methods, it became possible to conduct a hazard analysis of the industrial product in detail. As a result of applying the proposed method to the existing railroad crossing control system, it was confirmed that the proposed method could detect more factors of hazards and create adequate scenarios from the occurrence of hazard causes to the occurrence of the hazard.