Changes In Industrial Structure Research Articles

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.

Long-term forecast and policy discussion on China’s carbon emissions

ABSTRACT By decomposing the changes of carbon emissions into effects of economic growth, industrial structural change, technological change and energy structure change, the paper firstly discusses the contribution of each effect to China’s carbon emission changes between 2020 and 2030, and forecasts China’s total carbon emissions in 2030. In particular, the paper strengthens that a decrease in population and a significant slowdown in urbanization will significantly reduce the construction demand, the main driver for high growth of carbon emissions in China, and provide a relatively favorable economic environment for China to achieve carbon peaking by 2030. The paper then discusses on how to achieve the ”dual carbon” goals with the lowest possible economic cost by relying on market and price mechanisms.

중국 산업구조 변화가 기업의 기술혁신에 미치는 영향에 관한 연구

This study analyzed how the level of change in China’s industrial structure affected the technological innovation of companies. After China’s accession to the WTO (2001) and the global financial crisis in 2008, the internal and external economic environment has changed, and the subject of rapid economic growth and the level of change in China’s industrial structure and its accompanying impact has become the subject of research by scholars at home and abroad.
 This study classified industrial structure changes into industrial structure rationalization and industrial structure advancement, and then verified the degree of optimization of industrial structure changes. Industrial structure rationalization is an indicator that measures the level of aggregation between industries. It reflects the degree of balanced development among industries and the degree of rational allocation of resources, and evaluates the degree of balance between factor input and output. Industrial structure upgrading is an indicator that evaluates the degree of optimization of industrial structure restructuring. Both industrial structure rationalization and industrial structure upgrading affect and are influenced by economic growth and ripple effects between industries, as well as being influenced by the local economy.
 In this study, a Stata regression analysis was conducted using panel data from 30 provinces, municipalities and autonomous regions in China during the period 2009-2020. In this study, general effect model, mixed effect model, fixed effect model, random effect model, and 2SLS test were compared and analyzed, and the results were compared and analyzed by dividing the region into eastern and coastal regions and inland regions. In addition, verification was conducted by adding variables as key factors influencing technological innovation.
 As a result of the study, it was found that the level of industrial structure rationalization did not have a significant impact on the technological innovation of companies in the eastern and coastal areas, and in the inland area, technology content was relatively low or small and medium-sized enterprises were mainly distributed, so only specific industries affected only technological innovation. appeared to affect As for the level of advanced industrial structure, there is a lot of input into innovative technologies for leading industries in the eastern and coastal regions, which are relatively developed regions, but all of these innovative technologies have not been achieved in sales output or the effects due to the time lag have not yet appeared. appeared to be There are many industries with low technology content in Banman and inland areas, and it is found that technological innovation of companies leads well to sales output.

Sustainable growth through industrial robot diffusion: Quasi‐experimental evidence from a Bartik shift‐share design

AbstractWhile the diffusion of industrial robots has had a significant impact on the economy and society, more research is needed to understand how robots contribute to sustainable growth. This study uses paired data on China's county‐level carbon emissions and industrial robot installations from 2008 to 2017, employing a Bartik shift‐share instrumental variable design to estimate the economic and sustainable effects of industrial robot diffusion. The study finds that industrial robots significantly promote economic growth and contribute to carbon emission reduction as confirmed by robust IV 2SLS and general PSM‐DID methods. Additionally, a heterogeneity analysis shows that industrial robots have a stronger impact on sustainable growth in underdeveloped and small‐medium cities, especially in low‐skilled industries. Finally, the study identifies industrial structural change, clean energy use, and improved productivity and innovation as key factors that mediate the impact of industrial robots on sustainable development.

How to Use a Curve to Represent the Development Path of the Three Industrial Structure Optimization —— A Case Study of 16 Cities in Yunnan Province

Research objective: To use a curve to represent the optimal development path of the tertiary industrial structure. Research methods: Based on the triangular midline, the change path of the three industrial structure was studied, and the development path was optimized clockwise and counterclockwise. The results show that the change path of the tertiary industrial structure in 16 cities in Yunnan Province is as follows: the cities with clockwise optimization development account for 43.75%, and the cities with counterclockwise optimization development account for 50%; The change path of the tertiary industrial structure in 129 counties and urban areas of Yunnan Province is as follows: clockwise optimized development of 41.09% of counties and urban areas, counterclockwise optimized development of 34.88% of counties and urban areas; There are great differences in the efficiency of the three industrial structure changes. Research innovation: The triangle center line is used to study the change path of the three industrial structure, and the clockwise and counterclockwise optimization development path of the industrial structure is proposed. Research value: Study regional industrial structure from multiple perspectives.

Functioning features of industrial enterprises and complexes in modern economic conditions: structural changes and industrial development prospects

The article presents an analysis that contains functioning features of industrial enterprises and complexes in the conditions of transformation of their activities caused by the fourth industrial revolution. The purpose of the study is to determine the significance of structural changes in industry and the role of industrial policy in the implementation of structural transformations that contribute to the sustainable development of the economy. During the set goal, the objectives of the study were identified, which are necessary to coordinate industrial development programs in related sectors of the economy, modernization of infrastructure that promotes industrial development on a platform basis and the effectiveness of industrial policy implemented at the state level. When studying the task, methods of system and structural analysis, a structural-functional approach to the analysis of structural change problems were used. As a result of the study, it was revealed that the currently implemented programs of enterprise development should be coordinated with the strategies for the development of industries, which will allow them to coordinate and determine the levels and ways of interaction of economic entities. The directions of structural changes are proposed as a response to the digitalization of production processes and a way of rational organization of economic activity of subjects.

Can renewable energy technology innovation promote mineral resources’ green utilization efficiency? Novel insights from regional development inequality

Strengthening the mineral resource's green utilization efficiency is the key to achieving high-quality development and sustainable mining in China. Moreover, exploring the impact of renewable energy technology innovation (RETI) on mineral resources' green utilization efficiency is integral to boosting the mining industry's overall efficiency and facilitating the energy transition. However, the ability and way of different regions to develop and utilize RETI may depend on their geographical location. Using the dataset covering 30 provinces from 2001 to 2020, this study empirically reveals novel evidence of regional inequality of the impact of RETI on mineral resources' green utilization efficiency. Results show that RETI significantly affects mineral resources' green utilization efficiency. Study results still hold after replacing the explanatory variables, using the instrumental variables technique to solve the endogeneity problem, removing extreme values, and excluding the effects of extreme events. In addition, the impact of RETI on mineral resources' green utilization efficiency depends on the regional location in terms of both significance and marginal effects. RETI significantly promotes mineral resources' green utilization efficiency in the central and western regions, while the opposite is true for eastern regions. Finally, the impact of RETI on mineral resources' green utilization efficiency has various effects depending on the industrial structure and human capital level changes. These findings can provide partial enlightenment for accelerating RETI to facilitate mineral resources' green utilization efficiency.

Banking market structure and industrial structure: A transnational empirical study

This paper empirically analyzes the impact of market structure in the banking sector on industrial structure through instrumental variables regression using cross-country panel data for 101 developing countries from 2005-2020. It is found that the market concentration of the banking industry in developing countries is negatively related to industrial structure. The increase of market concentration in the banking industry is not conducive to changing industrial structures in developing countries. The level of banking industry development is positively correlated with industrial structure. The overall development of the banking industry is conducive to industrial development and structural adjustment.

Analysis of Demand and Structural Changes in China’s Water Resources over the Next 30 Years

The medium and long-term demand prediction for water resources is critical to the country’s macro-allocation of water resources and the formulation of a long-term regional economic development strategy. However, the official prediction report of China’s water resources was created ten years ago, and its results are far from accurate in practice making it difficult to direct China’s water resource planning in the coming ten years. By introducing the demand forecasting method for the first time, this study built a mathematical prediction model that integrates “data constraint + mathematical prediction + actuarial prediction”. The conclusions are as follows: (1) The new method developed in this research is more accurate than previous prediction methods and has a higher degree of matching with actual data. Despite the problem of trend extrapolation, this model can accurately understand the long-term trend. However, the amount of data must be calculated. (2) China’s consumption of total water, agricultural water, industrial water, domestic water, and ecological water will predict to be 552.9 billion m3, 319.1 billion m3, 95.7 billion m3, 95.5 billion m3 and 42.6 billion m3 in 2030, respectively, as well as 504.7 billion m3, 281.1 billion m3, 61.4 billion m3, 101.4 billion m3, and 60.8 billion m3 in 2050, respectively, indicating obvious structural changes. (3) China’s industrial structure evolves frequently; therefore, water resource forecasting must account for changes in industrial structure as well as geographical variances. In North China, agricultural water demand will fall, but ecological water investment will rise. The planning and distribution of the nation’s water resources will significantly be influenced theoretically and practically by the development of this methodology study. This method is universal and can be used for long-term prediction of future water demand in other countries.

Does the Belt and Road Initiative affect the energy intensity of countries along the route? An analysis of the direct and indirect effects

We empirically evaluate the effect of China’s Belt and Road Initiative (BRI) on the energy intensity of countries along the route. Furthermore, we decompose this overall effect into direct effects via connectivity and indirect effects through development. We apply a relatively new synthetic control method based on interactive fixed effects to identify the causal effects of the BRI. Our main results include: (1) the overall effect of the BRI reduces the energy intensity of countries along the route by 0.0152 toes per thousand dollars, of which the direct effect is 0.0125 (82%); (2) the indirect effect in the current status is limited, mainly through the contradictory effects of economic growth and industrial structural change; and (3) countries along the route with a lower level of development, higher levels of energy technology, more abundant energy endowments, and less stringent carbon regulations experience a greater reduction in energy intensity after the BRI.

CO2 emission reduction effect of photovoltaic industry through 2060 in China

In the coming four-decade, China will face serious challenge while shifting to carbon neutral. Photovoltaic (PV) power, as one of the most promising clean energies, is seen as an important focus for decarbonization of the power sector in China. The novelty of this study is to use life cycle assessment (LCA) methods to analyze the CO2 emission reduction of the PV generation industry before 2060 base on the amount of energy and resources consumed and PV generation's CO2 reduction benefits during the whole industrial chain. This paper aims to examine CO2 emission reduction contribution, we firstly compute the historical emissions and predict future PV waste and new power capacity from 2010 to 2060. Then, considering the change of industrial structure and technological evolution, the yearly life cycle CO2 emission from producing stage to recycling stage is calculated. The key results show that the unit CO2 emission of PV system producing will reduce 88.07% from 2010 to 2060. PV generation industry's total CO2 emission has reached its neutrality between 2014 and 2015, and will reduce 33.03 Giga tons CO2-eq till 2060. The findings can offer relevant insights to low-carbon development of China's PV industry and will provide suggestions for policy-making.

Heterogeneous driving effects of middle-class expansion on carbon emissions in various regions of China: A structural path decomposition analysis

Middle-class expansion has played a crucial role in driving the changes in embodied carbon emissions. However, its driving mechanisms still need to be clarified. In this paper, we compiled novel multiregional input-output tables to capture the rise of the middle class in China in terms of its expansion and consumption pattern changes. Structural path analysis was employed to investigate the critical paths of embodied carbon emissions from middle classes of different regions in China during 2012–2015. Structural path decomposition was further used to explore the driving factors along the paths, including changes in population size, consumption patterns, industrial structure, and carbon intensity. Our results show that, from 2012 to 2015, the role of the middle class in driving carbon emissions through the most critical paths was either enhanced or reduced depending on different factorial changes. Generally, the paths with enhanced roles of the middle class stemmed from the urban and rural middle classes in Central China, Southwestern Coastal, and Northern Coastal regions, and the changes in consumption patterns and population of the urban middle class were the main driving factors. The top 30 paths of carbon emissions growth driven by the urban and rural middle classes approximately increase 19.5 Mt and 8 Mt of carbon emissions, respectively. In contrast, most of the paths with the weakened role of the middle class were intraregional paths in the Southern Coastal and Eastern Coastal regions, and carbon intensity was the dominant factor governing the changes. Our analysis systematically revealed, for the first time, the heterogeneous impacts and driving factors of middle-class expansion in different regions of China on carbon emissions. Therefore, it provides new insights for climate mitigation in the context of China's plan to cultivate a majority middle-class society.

Research on Artificial Intelligence in New Year Prints: The Application of the Generated Pop Art Style Images on Cultural and Creative Products

Chinese New Year prints constitute a significant component of the country’s cultural heritage and folk art. Yangliuqing New Year prints are the most important and widely circulated of all the different kinds of New Year prints. Due to a variety of factors including societal change, industrial structure change, and economic development, New Year prints, which were deeply rooted in agricultural society, have been adversely impacted, and have even reached the brink of disappearance. With the protection and effort from the government and researchers, New Year prints can finally be preserved. However, the underlying problems remain, such as receiving little attention, a singular product form, and being unable to keep up with the times, especially among the younger generation. In this paper, the researchers first processed Yangliuqing New Year prints through the GANs model. Then, the image is segmented by binarization and color extraction of images from the Pop art dataset by the K-Means algorithm, followed by colorizing the binarized and segmented image. Finally, usable high-quality Pop art style Yangliuqing New Year prints are generated. The generated images are used in the development of cultural and creative products. Questionnaires were then distributed based on the empirical research scale. The results of this study are as follows: 1. The method proposed in this study can generate high-quality Pop art style New Year prints. 2 Using Pop art style New Year print images in the design of cultural and creative products is popular among the younger generation, and they possess a great propensity to purchase. This study solves the problems encountered by the current cultural heritage of New Year prints, and broadens the artistic expression forms and product categories, and provides research ideas for the cultural heritage of the same type that is facing similar problems. In the future, researchers will continue to explore the incorporation of AI technology in New Year prints to stimulate the vitality of traditional cultural heritage.

Assessment of changes in environmental factors in a tourism-oriented Island.

Tourism development has influenced industrial structure changes and has become a major driving force for China's new urbanization. However, the development will negatively impact natural resources and the ecological environment and will become an essential driving factor for land use change. Therefore, understanding the impact of tourism urbanization is crucial for sustainable local development. This study selected the Dachangshan Island in the Changhai County, Dalian, China, as the study area, because it is the only coastal island-type border county in China. During the study period, changes in local environmental factors were analyzed based on land use data, Landsat 5 and Landsat 8 data of 2009, 2014, and 2019. The results showed that: (1) the overall land surface temperature (LST) in the research region shows an increasing trend; the LST in 2014 and 2019 increased by 6.10 and 5.94 °C, respectively, compared with 2009. With respect to specific land types, impervious surfaces maintained a high land surface temperature (25.44, 32.38, and 31.86); however, surface temperatures for cropland, forest, grassland, and water bodies remained stable. (2) The land use land cover (LULC) change analysis from 2009-2019 indicates that impervious surfaces and cropland increased by 0.5653 km2 and 0.9941 km2, while the areas of forest, grassland, and water bodies decreased. The results also showed that forests (-1.3703 km2) are most affected by urbanization. (3) The results of the landscape index calculation showed that the variation at the patch scale is different for different LULC types. The patch density of impervious surfaces decreased, but the aggregation index increased over time, while the patch density of the forest increased continuously. At the landscape scale, overall patch type and distribution remained stable. The purpose of this study is to explore the environmental changes of islands and provide a reference for the sustainable development of islands.

Revisiting Baumol’s growth disease in Japan

This study analyzes the cause of secular stagnation in Japan after the economic bubble and its association with industrial structural change, specifically Baumol’s growth disease (BGD). Our analysis updates Nishi and focuses on the period between 1995 and 2018 using the latest version of the JIP (Japan Industrial Productivity) database. Then, we ask “Is Japan suffering from BGD?” Our approach includes decomposition of the aggregate labor productivity growth rate, fixed-share growth rate (FSGR) measurement, and a transition probability matrix. The decomposition reveals that the within-sector effect (WSE) is the main source of aggregate labor productivity. The reallocation growth effect (RGE), which measures BGD, was negative for both the short- and long-run averages of the post-1995 period. This period is different from the previous one, as the WSE declined significantly, and the considerable decline in the WSE can be seen as a major factor in Japan’s stagnation over the past 30 years. During this stagnation, BGD silently undermined the Japanese economy, albeit as a secondary effect. Furthermore, our FSGR and transition probability matrix show that persists and is infectious in Japan. Sectors that undergo BGD tend to persist in this state, and even when one sector is in a non-BGD state, it is more likely to develop BGD.

Industrial Development Layout and Competitiveness Evaluation Based on Correlation Analysis between Power and Industry

The change of industrial structure has a significant impact on energy consumption. The coordinated development between energy structure and industrial structure has a profound impact on the steady development of national economy and society. In this paper, focusing on the needs of industrial development layout and combining with the scenario of dual-carbon target constraint setting, a power-industry management analysis model is constructed, and a differentiated screening mechanism of industrial layout is realized under the three scenario Settings of dual-carbon target. According to the industrial development layout of Xinjiang, this paper studies the relationship between industrial development and energy and electricity consumption under different scenarios, selects the key industries according to the requirements of different scenarios, and carries out the scene comparison evaluation based on the industrial competitiveness evaluation. Finally, the paper puts forward specific suggestions from the perspectives of applying the coordinated layout of different scenes in stages, taking into account the coordination of regional layout, and striving for the practical linkage between industry and electric power.

The Difficulties and Solutions of Terminal Consumption underthe Goal of "Double Carbon" in Realizing Carbon Neutrality Approach—Take Household Consumption as an Example

With the change of social economy, industrial structure and cultural background, China has realized that in order to achieve the goal of carbon peaking and carbon neutrality (the "double carbon" goal), end-consumption behavior has gradually become an important factor affecting carbon emission reduction. Based on the analysis of the necessity of carbon emission reduction research in end-consumption behaviors, this paper mainly refers to some data in the report "Carbon Drag -- Analysis of Low-carbon Potential of Large Urban Residents Consumption" published by Urban Carbon Peak International Cooperation Platform. This paper analyzes the current situation of "carbon consumption" in end-consumption behavior and its carbon emission reduction potential from the five aspects of residents' clothing, food, housing, transportation and use, and discusses the problems affecting carbon emission reduction in end-consumption behavior. It is found that residents' low carbon awareness in some fields is weak, and there is resistance to the implementation of green low-carbon behavior. On this basis, this paper provides suggestions on related issues: government enterprises and the public need to work together to improve residents' awareness, increase production quantity at the supply side and improve carbon emission reduction policies.

The Impact of Women’s Economic Development on the Sports Industry: Based on the Petty-Clark Theorem

Petty-Clark Theorem, the law of labor transfer, is a theory that studies the evolution of industrial structure in economic development. Petty-Clark Theorem reflects the change of industrial structure with economic development. Based on Petty-Clark Theorem, this paper discusses the reasons for the current rise of women’s economy, the relationship between women’s economy and sports industry, and the impact of the rise of women’s economy on sports industry. Although this paper enriches the literature in this area, further in-depth theoretical research is still needed.

Study on the Impact of Industrial Structure Change on Total Factor Productivity in Henan Province

Study on the Impact of Industrial Structure Change on Total Factor Productivity in Henan Province

일본의 확정급부형 연금리스크와 제도 리스크에 대한 고찰

For Japanese private companies, the pension system of employees can be divided into three categories. First, there is a national pension in which a certain amount of money is paid to all citizens aged 20 orolder, which is a public pension. Second, there is a welfare pension paid to the payer in proportion tothe salary while working at the workplace. Finally, there is a corporate pension that companies providefor their employees. The purpose of this study is as follows. First, it presents the risk of defined benefit type corporatepension corresponding to the corporate pension and the direction of institutional risk management. Second, it analyzes the direction of payment certificate system. Finally, in order for the corporatepension system to continue to develop appropriately as a system, it analyzes by dividing it into risk andrisk management. As a result of the study, for the ideal development of the pension system, it cannot be discussedwithout considering changes in the capital market of Japanese economy or changes in industrialstructure and population structure, and risk management of the pension system cannot be successfulunless it is done on these premises. It is certain that the payment certificate system contributes to thedevelopment of the pension system, but it is also true that there are limitations in the areas thatsupplement its contribution. In order for the Japanese economy to develop in the future, it should bedesirable that dynamic changes in the economy continue to occur.