Industrial Layout Research Articles

Has high-tech cluster improved regional innovation capacity? evidence from Wuhan metropolitan area in China

As the core of “Rise of Central China” strategy, the regional innovation capacity of the Wuhan Metropolitan Area is the key to enhance the innovation ability of central China and even China. High-tech industries are the key driving force to improving regional innovation. Studying the relationship between high-tech clusters and regional innovation capacity helps optimize the spatial layout of regional high-tech industries, upgrade the industrial structure and enhance regional innovation capacity. Based on the panel data of nine cities in the Wuhan Metropolitan Area from 2010–2019, we measure the regional innovation capacity and the degree of high-tech cluster using the super-SBM and locational quotient. Furthermore, we explore the high-tech cluster’s influence on regional innovation capacity by constructing a non-linear panel threshold model and a spatial econometric model. The results showed: 1) The innovation capability of the Wuhan Metropolitan Area shows a “W” type fluctuation upward trend, and the degree of the high-tech cluster is below the quotient level of 1, showing a continuous “M” type trend; 2) There is a non-linear double-threshold effect between high-tech cluster and innovation capacity, and the overall effect of promotion, but there is a marginal decreasing, probably because of the crowding effect or over-competition of the high-tech cluster in some regions; 3) After considering the spatial effect, the impact of the high-tech cluster on the innovation capacity of both local and neighboring regions shows a “U” curve, but the spillover to the neighboring areas is relatively limited. Therefore, to give full play to the advantages of the high-tech cluster, it is necessary to take a long-term view when formulating relevant industrial policies while considering the differences in regional economic development levels and spatial spillover effects.

Research on the Influencing Factors of The Green Coordinated Development of Productive Service Industry and Manufacturing Industry Under the Background of Dual Carbon

Under the dual-carbon background, along with the process of the two-wheel drive development strategy, the industrial synergistic agglomeration has quietly become the "new normal" of urban industrial spatial layout, and the green total factor productivity has become an essential measure of the quality of economic development of cities in China. This project takes the synergistic agglomeration at the factor level between the productive service industry and manufacturing industry as the perspective and analyzes the realization mechanism of green total factor productivity growth under the synergistic agglomeration of the manufacturing industry and productive service industry from the current situation of China's industrial development, which is also a deepening and expanding of the theory of agglomeration economy. This project first discusses the "greening" issue in the development process of the productive service industry and manufacturing industry, and applies the super-efficient DEA model to account for the green total factor productivity of the productive service industry and manufacturing industry according to the difference of industrial characteristics, and then expounds the inner mechanism of green total factor productivity growth under the synergistic agglomeration of industries. Then, the panel data of 24 provinces in China are used to modify the existing indexes for measuring the level of industrial synergistic agglomeration and analyze the impact factors of the synergistic evolution of the productive service industry and the manufacturing industry on the green total factor productivity. Finally, through scenario simulation analysis, different policy scenarios with different policy incentives are set up to study the impact of policy incentives further and propose corresponding policy recommendations.

Long-term spatiotemporal evolution and coordinated control of air pollutants in a typical mega-mountain city of Cheng-Yu region under the “dual carbon” goal

ABSTRACT Clarifying the spatiotemporal distribution and impact mechanism of pollution is the prerequisite for megacities to formulate relevant air pollution prevention and control measures and achieve carbon neutrality goals. Chongqing is one of the dual-core key megacities in Cheng-Yu region and as a typical mountain-city in China, environmental problems are complex and sensitive. This research aims to investigate the exceeding standard levels and spatio-temporal evolution of criteria pollutants between 2014 and 2020. The results indicated that PM10, PM2.5, CO and SO2 were decreased significantly by 45.91%, 52.86%, 38.89% and 66.67%, respectively. Conversely, the concentration of pollutant O3 present a fluctuating growth and found a “seesaw” phenomenon between it and PM. Furthermore, PM and O3 are highest in winter and summer, respectively. SO2, NO2, CO, and PM showed a “U-shaped”, and O3 showed an inverted “U-shaped” seasonal variation. PM and O3 concentrations are still far behind the WHO, 2021AQGs standards. Significant spatial heterogeneity was observed in air pollution distribution. These results are of great significance for Chongqing to achieve “double control and double reduction” of PM2.5 and O3 pollution, and formulate a regional carbon peaking roadmap under climate coordination. Besides, it can provide an important platform for exploring air pollution in typical terrain around the world and provide references for related epidemiological research. Implications: Chongqing is one of the dual-core key megacities in Cheng-Yu region and as a typical mountain city, environmental problems are complex and sensitive. Under the background of the “14th Five-Year Plan”, the construction of the “Cheng-Yu Dual-City Economic Circle” and the “Dual-Carbon” goal, this article comprehensively discussed the annual and seasonal excess levels and spatiotemporal evolution of pollutants under the multiple policy and the newest international standards (WHO,2021AQG) backgrounds from 2014 to 2020 in Chongqing. Furthermore, suggestions and measures related to the collaborative management of pollutants were discussed. Finally, limitations and recommendations were also put forward. Clarifying the spatiotemporal distribution and impact mechanism of pollution is the prerequisite for cities to formulate relevant air pollution control measures and achieve carbon neutrality goals. This study is of great significance for Chongqing to achieve “double control and double reduction” of PM2.5 and O3 pollution, study and formulate a regional carbon peaking roadmap under climate coordination and an action plan for sustained improvement of air quality. In addition, this research can advanced our understanding of air pollution in complex terrain. Furthermore, it also promote the construction of the China national strategic Cheng-Yu economic circle and build a beautiful west. Moreover, it provides scientific insights for local policymakers to guide smart urban planning, industrial layout, energy structure, and transportation planning to improve air quality throughout the Cheng-Yu region. Finally, this is also conducive to future scientific research in other regions of China, and even megacities with complex terrain in the world.

An Empirical Study on the Factors Affecting the Layout of the Dairy Industry—Based on China’s Provincial Panel Data Analysis

The dairy industry is an important civilian production industry. How to rely on the advantages of industrial scale, industrial resources, industrial technology, and other factors to promote the rational layout of China's dairy industry and enhance the competitiveness of the dairy industry is an important theoretical issue. This research aims to explore the main factors that affect the layout of the dairy industry, determine the extent of the impact of industrial scale, industrial technology, and industrial resources on the industrial layout, discuss its influence and transmission mechanism, understand the specific transmission mechanism, and then formulate t recommendations to improve the level of China's dairy industry layout.

The heterogeneous effects of Chinese industrial parks on environmental pollution

As a form of regional agglomeration, industrial parks create huge benefits for China's economic development, but they also generate considerable environmental externalities and are expected to become the breakthrough to achieve green transformation. This study builds a panel data set by combining a variety of data on the environmental and economic characteristics of firms, industrial parks, and regions, and empirically investigates the effects of establishing industrial parks on emissions of COD, NH3, SO2, and dust. We find such effects are heterogeneous across scales of investigation and types of industrial parks. After entering the industrial parks, firms can reduce their environmental pollution, and the emissions of COD, SO2 and dust have decreased by 9.3 %, 13.4 % and 4.6 %, respectively. However, the study at the regional level finds that, after the establishment of industrial parks, the overall emissions of COD, NH3, SO2, and dust have increased by 37.9 %, 365 %, 45.5 % and 34.9 %, respectively. The expansion of production scale and the increase of pollution-intensive industries are the main factors that cause more serious regional pollution. Meanwhile, the improvement of pollution treatment is very limited. After the establishment of a new park, the emission intensities of newly entered firms are higher than those of pre-existing firms, indicating industrial parks may lower environmental requirements in exchange for economic growth. Parks with clean dominant industries, high levels of water reuse and technical innovation tend to emit less pollutants. Based on the results, this study gives four suggestions for establishing environment-friendly industrial parks, that is, to plan the industrial layout rationally, to speed up the construction of pollution treatment facilities, to increase the environmental threshold for entrance, and to promote technical innovation.

Pollution status and hydrogeochemical characterization of water resources in Onne industrial layout and environs, Rivers state, Nigeria

Pollution status and hydrogeochemical characterization of water resources in Onne industrial layout and environs, Rivers state, Nigeria

Industrial restructuring and optimization for sustainable development of resource cities based on dynamic simulation perspective

Resource cities are highly dependent on resource industries and have a single industrial structure, so how to adjust and optimize the industrial structure is of practical significance to the sustainable development of resource cities. This paper combines the principle of data envelopment analysis (DEA) and the principle of industrial layout optimization to evaluate and position the current situation of industrial structure in resource cities. Based on this study, the simulation dynamic simulation of the path optimization of sustainable industrial development is conducted through the study of the dynamics principle, and the realism and validity of the model are tested by combining it with the actual data to realize the prediction of sustainable industrial path development. The results show that: In the simulation dynamic simulation prediction, the scale of the resource industry in resource cities decreases by about 6%-8% in 2020, and its simulation prediction data and real data have high consistency, which verifies the effectiveness of industrial structure adjustment and optimization strategy. This paper studies the optimization and upgrading of industrial structure to promote the sustainable development of a resource-based city economy, narrow the gap between the economic development of east and west regions, promote urbanization, and improve inter- and intra-regional development imbalance.

A Hierarchical Analysis Structure Model for the Integration and Optimization of Sports Industry Digitalization and Tourism Industry

Abstract To promote the integrated development of the sports and tourism industry, create new formats, and drive the development of five happiness industries as tourism, culture, sports, health, and elderly care, promote local industrial layout and high-quality development, the author proposes an optimization model for the integration of sports industry digitalization and tourism industry. Based on the coupling coordination theory and fusion theory, the author chooses city A as the research case, through the coupling analysis method, the integrated development level of the sports industry and the tourism industry in City A was discriminated, and the dynamic factors and hindering factors affecting the coupling were explored, and the reasons were analyzed. The results show that the index weights of the two system layers, namely, the sports and tourism industry system layers, are 0.5 and 0.5, respectively. The top five weighted indicators are The number of sports-related enterprises, the number of tourist attractions, the number of travel agencies, the number of sports professionals and the number of domestic tourists received; The results of the coupling coordination degree show that in terms of degree D, there is an obvious trend of long-term stable linear increase and then a small decline, from 2010 to 2019, the D value increased from 0.28 to 1. Conclusion: The model is suitable for the practical framework of the development trend of the sports tourism industry model.

Research on Rural Typology Based on the Symbiotic Model of Rural Revitalization and Basic Public Services

The basic unit of rural revitalization is the village. Rural revitalization can be comprehensively promoted by using rural typology as an instrument for rural zoning planning, which is a significant factor. This study clarified the relationship between rural revitalization and basic public services, constructed evaluation index systems, and analyzed the symbiotic mode. The comprehensive development level and the symbiotic mode were incorporated to determine the type of village. The results showed the following: (1) The thriving industry and affluent life of Tangfang Town obviously contributed to its rural revitalization; the achievement of basic environmental improvement was eminent. (2) There are differences in the comprehensive development level of rural revitalization and basic public services among administrative villages, with an overall trend of “high in the north and low in the south”, corresponding to the industrial layout of “north industry and south agriculture” in Tangfang Town. (3) The symbiosis coefficients of all the administrative villages in Tangfang Town were between 0 and 0.5, and there was a positive symmetric mutualism relationship overall, indicating that basic public services have a significant impact and can effectively promote the process of rural revitalization. (4) Villages in Tangfang Town are divided into five functional areas—the comprehensive coordination area, potential improvement area, restricted development area, unbalanced allocation area, and backward guarantee area—and various types of optimization development strategies are proposed. As one of the top 100 demonstration towns for rural revitalization in Shaanxi Province, Tangfang Town plays a leading and exemplary role. Within the context of rural revitalization strategies, solving the problem of how to realize differentiated development in the next five years has become urgent. This study aimed to effectively promote the process of rural revitalization, provide theoretical guidance for scientific development in Tangfang Town, and promote research ideas for other towns in China.

Design of a High-Speed Railway Passenger Train Operation Scheme considering Survivability of the Network

As an important part of modern comprehensive transportation system, high-speed railway (HSR), whether it is a transregional trunk line or an intercity line, always shapes the industrial layout and changes the living environment at different levels. Based on the analysis of the railway network topology and organization process of passenger train, this paper clarifies the connotation of passenger train operation scheme of HSR considering network survivability, and further explains the connotation of railway network system and its relationship with passenger train operation scheme. In this paper, a comprehensive quantitative index of the importance of key nodes and key edges is established, and an evaluation index of the survivability of railway service network based on the operating mileage of passenger trains is constructed, which is applied to the real local HSR network in China. With the aim of improving the survivability of HSR system, an alternative operation route of passenger trains between some OD stations is given according to the specific railway interruption situation.

Impact of National Industrial Relocation Demonstration Zones (NIRDZs) policy on urban carbon emissions in China

To improve the industrial spatial layout and propel regional coordinated development, China has implemented the policy of NIRDZs since 2010. However, there is little literature focuses on the relation between NIRDZs and carbon emissions. Based on the balanced panel data from 284 China's prefecture-level cities during 2003–2019, this article combines the time-varying DID model, mediating model, and spatial DID model to systematically qualify the impact of NIRDZs on urban carbon emissions. The results show that: (1) NIRDZs effectively reduce recipient cities' carbon emissions, which has been confirmed by a variety of robustness checks. (2) NIRDZs' carbon reduction effect is more pronounced in cities in the central region, cities with poverty-stricken counties, large-scale cities, and resource-based cities, but exacerbates environmental demonstration cities' carbon emissions. (3) Industrial structure upgrading, foreign capital attraction, and government financial support are the three important channels through which NIRDZs influence urban carbon emissions. (4) NIRDZs have a significant spatial spillover effect on urban carbon emissions, and can significantly reduce carbon emissions in both neighboring pilot and non-pilot cities. These findings have substantially vital theoretical and practical implications for China to achieve low-carbon transformation in cities in the process of industrial transfer.

The Spatial Pattern and Influencing Factors of Traffic Dominance in Xi’an Metropolitan Area

Metropolitan areas shoulder the crucial task of regional and even national economic development. Analyzing the spatial patterns and influencing factors of metropolitan traffic dominance can provide a scientific basis for the optimization of its transportation and industrial layout, which is conducive to the development of its economy. Previous studies on traffic dominance paid little attention to metropolitan areas and even less so to study these areas from the perspective of town units, even though these are the basic units that narrow the gap between urban and rural areas and thus achieve regional economic integration. The traffic dominance model can comprehensively and wholly reflect regional traffic conditions, due to its multidimensional characteristics (including traffic network density, traffic arterial influence and accessibility). Consequently, taking the Xi’an metropolitan area as an exemplar and the town as the basic unit, this paper employs this model and other methods to study the spatial pattern and influencing factors of its traffic dominance. The results show the following: (1) the traffic network density, traffic arterial influence and accessibility had different distribution patterns; however, they were the same in that their superiorities were relatively high in the main urban area of Xi’an city or along and on both sides of the high-speed railways (HSRs), whereas relatively low in the peripheral areas; (2) the integrated traffic dominance consistently displayed a “point-axis” pattern, with greater superiority in the east–west axis areas within 30 km of Xi’an city, especially in the main urban area of Xi’an city; (3) the integrated traffic dominance between towns had stable agglomeration correlation in the global areas and formed three major modes in the local areas: high–high, low–low and low–high aggregation. High–high mode was concentrated in the main urban areas of Xi’an and Xianyang city, low–low mode was mainly distributed in the Weibei hilly and gully areas and the Qinling mountain areas and low–high mode always nested on the edge of high–high areas; and (4) the location, GDP and elevation had a greater impact, whereas construction intensity, population and slope had a relatively small influence on the town’s traffic dominance, and their influence ability had a decreasing trend from 2010 to 2022. Finally, this paper discusses the theoretical implications, practical values and some prospects based on the research results.

The impact of population aging on economic growth —— Based on a case analysis in Beijing

Aging is an urgent and important issue for the long-term development of countries in the world. As China's elderly population continues to increase, China's aging has had many impacts on social production and life. This paper analyzes the development process and current situation of aging in Beijing, presents the severity of aging in Beijing through indicators such as the total number of people over 60 years old, the dependency ratio of aging, and summarizes the three effects of aging on economic development: inhibiting residents’ consumption, reducing economic benefits of labor force, and optimization of industrial structure. According to the influencing factors, targeted solutions are given improve the security system for the elderly, optimize the layout of the pension industry, adjust the concept of fertility, and promote the development of education for the elderly. In this way, people can break the restraining effect of aging on economic development and drive new economic growth.

Effects of storage conditions on milk powder properties

Studies on the storage stability of milk powder are currently fragmented and mainly affect only the area of above-zero temperatures. At the same time, there are no studies that consider the load factor when milk powder is stored in bags on a pallet. The purpose of this study was to identify the influence of various factors of industrial storage (temperature, height or layer number, and time) on the change in quality and technological properties of powdered dairy products. We placed skim milk powder (SMP) and whole milk powder (WMP) in 10 × 14 × 2 cm resealable plastic bags on a model stand simulating an industrial layout on pallets. The samples were stored for 18 mo at temperatures -30 ± 1°C, 6 ± 1°C, and 25 ± 3°C and 40 to 80% relative humidity. Samples from the control (0), 5, and 10 (lower) layers of pallets were selected for analysis on 0, 3, 6, 9, 12, 15, and 18 mo of storage for each of the temperatures. As a result, we did not detect any changes in the storage process for water activity and mass fraction of moisture. The particle size distribution of all the SMP and WMP samples changed over time. The greatest changes were observed in the WMP samples placed on the 10th layer of pallets at 25 ± 3°C, from 0 to 18 mo of storage, the mean particle size (D[4,3]) increased from 120 to 258 μm (90% of all sample particle sizes ranging from 209 to 559 μm). We found significant clumping in the WMP samples (lumps up to 5 cm), correlating with the layer and storage time. The contact angle of the samples increased from 17° (SMP) and 53° (WMP) to 40° and 71°, respectively. The insolubility index and titratable acidity did not change only in the SMP samples stored with no load applied at -30 ± 1°C and 6 ± 1°C. The heat stability of all samples stored at 25 ± 3°C showed the lowest values. The data obtained allowed us to rank the factors as "layer - time - temperature." Only the temperature of 25 ± 3°C caused critical changes in the product properties. Thus, the possibility of industrial storage of the product for up to 15 mo over the entire temperature range is confirmed.

Analysis of the spatial layout and influencing factors of pollution-intensive industries based on enterprise dynamics

The studies of the spatial layout and impact mechanism of pollution-intensive industries have become one of the research hot spots for regional sustainable development. From the viewpoint of enterprise dynamics, this study used a spatial econometric model and kernel density analysis methods to analyze the spatial layout characteristics of pollution-intensive industries in the urban agglomeration in the middle reaches of the Yangtze River (UAMRYR) in 2010, 2015, and 2020, and to explore the reasons for the formation of the spatial divergence of different sub-industries. The results showed that (1) in the past decade, the pollution-intensive industries in the UAMRYR have spatial shift characteristics, basically presenting a “core-edge” pattern from central cities to peripheral cities, and an “agglomeration-diffusion-agglomeration” spatial trend. (2) Different sub-industries had obvious differences in their agglomeration and diffusion trends. The proliferation trend of the non-metallic mineral products industry and the agricultural and sideline foodstuffs processing industry were obvious, which made environmental management difficult. The manufacture of raw chemical materials and chemical products presented the trend of agglomeration, then diffusion, followed by agglomeration, and transferred to areas outside the urban agglomeration, which reduced the pollution to the environment to a certain extent. The spatial pattern of the electricity, heating power production and supply industry were relatively stable, with little overall change. (3) The spatial layout of pollution-intensive industries was mostly driven by the level of economic development and the degree of industrial agglomeration. Innovation capacity and labor cost promoted the spatial diffusion of industries, and the degree of trade openness intensified the agglomeration of pollution-intensive industries in space. The results of the study provided a more microscopic perspective for understanding the changes in the spatial pattern of pollution-intensive industries and served as a reference for the government to formulate industrial and environmental policies.

Focus on Multi-Dimensional Integration of Wuxi Modern Industrial Cluster Innovation and Development Model

Wuxi, located in the center of the Yangtze River Delta, is an important part of the Suzhou-wuxi-changzhou metropolitan area and a typical representative of the southern Jiangsu model of China's regional economy, wuxi, which is in the transition period of economic structure, can rank the top of the per capita GDP of the central cities in China, and has its own unique modern industrial cluster development model. Based on a large number of on-the-spot investigation and research, this paper analyzes the basic advantages, main characteristics, industrial structure transformation and development layout of modern industrial cluster in Wuxi, this paper makes a systematic analysis and induction of the important supporting and ensuring factors that constitute the modern industrial system with Wuxi characteristics and the layout of innovative industrial structure, it is intended to reveal the development process, the reality, the basic characteristics and the advanced experience of the southern Jiangsu model in order to obtain the necessary enlightenment and reference. At the same time, put forward the existing problems and suggestions.

Recognizing Urban Functional Zones by GF-7 Satellite Stereo Imagery and POI Data

The identification of urban functional zones (UFZs) is crucial for urban planning and optimizing industrial layout. Fusing remote sensing images and social perception data is an effective way to identify UFZs. Previous studies on UFZs recognition often ignored band information outside the red–green–blue (RGB), especially three-dimensional (3D) urban morphology information. In addition, the probabilistic methods ignore the potential semantic information of Point of Interest (POI) data. Therefore, we propose an “Image + Text” multimodal data fusion framework for UFZs recognition. To effectively utilize the information of Gaofen-7(GF-7) stereo images, we designed a semi-transfer UFZs recognition model. The transferred model uses the pre-trained model to extract the deep features from RGB images, and a small self-built convolutional network is designed to extract the features from RGB bands, near-infrared (NIR) band, and normalized digital surface model (nDSM) generated by GF-7. Latent Dirichlet allocation (LDA) is employed to extract POI semantic features. The fusion features of the deep features of the GF-7 image and the semantic features of POI are fed into a classifier to identify UFZs. The experimental results show that: (1) The highest overall accuracy of 88.17% and the highest kappa coefficient of 83.91% are obtained in the Beijing Fourth Ring District. (2) nDSM and NIR data improve the overall accuracy of UFZs identification. (3) POI data significantly enhance the recognition accuracy of UFZs, except for shantytowns. This UFZs identification is simple and easy to implement, which can provide a reference for related research. However, considering the availability of POI data distribution, other data with socioeconomic attributes should be considered, and other multimodal fusion strategies are worth exploring in the future.

Research on Promotion Pathways for Zero-Emission Medium- and Heavy-Duty Trucks: A Case Study of Hainan Island

Promoting the use of zero-emission vehicles is an important measure for reducing pollutant and carbon dioxide emissions from medium- and heavy-duty trucks (MHDTs). This study took Hainan Island as an example. Based on big data such as industrial layout and traffic flow, it clarified that the main channels of freight transportation on Hainan Island are concentrated in the northern region, including the surrounding areas of Haikou; the important ports of Haikou, Yangpu, and Basuo; and Chengmai and Tunchang counties. Furthermore, pathways for the promotion of zero-emission MHDTs are proposed, which can reduce exhaust emissions by 1549 tons of NOx, 62 tons of particulate matter (PM), and 3.60 million tons of CO2 by 2030. Compared with the vehicle type categorization plan, the spatial layout plan can achieve higher emission reduction benefits in the medium term (2025). In addition, in conjunction with existing policies and planning requirements, this study also puts forward policy suggestions for the promotion of zero-emission MHDTs.

USULAN RANCANGAN TATA LETAK FASILITAS DENGAN MENGGUNAKAN METODE FROM TO CHART

Facility layout is an important thing that must be managed effectively and efficiently in order to produce optimal material handling costs. UD Karya Abadi is a manufacturing industry engaged in the manufacture of pans. The long-distance of materials movement is an obstacle during the production process. The distance of the material in carrying out the transfer will affect the total costs required in the production process. Facility layout design is carried out by paying attention to material handling distances and relationships between departments. The from to chart method is used to determine the smallest number of product moments that can be designed in an industrial layout. This research resulted in a decrease in product moment of 2840.181 from 4769.059 to 1928.878. The decrease in the product moment means that the material movement becomes smaller, so it can increase production capacity due to the smaller operator movements. This research resulted in a proposed layout for a new production facility and lowered material handling costs.Keywords: From to Chart, Layout, UD Karya Abadi

The Influence of Manufacturing Agglomeration on Industrial Structure Upgrading in Anhui Province

In order to promote the upgrading of industrial structure in Anhui province and meet the requirements of high quality development of manufacturing industry put forward by the government of Anhui Province, this paper firstly calculates the degree of agglomeration of manufacturing industry in Anhui Province in the past five years. It is found that the development status of manufacturing industry in Anhui Province is better, and some industries have comparative advantages compared with the whole country. Then, based on the data of Anhui Province from 2001 to 2020, the paper analyzes the influence of manufacturing agglomeration on industrial structure upgrading in Anhui Province, and draws the following conclusions: the agglomeration of manufacturing industry has a promoting effect on industrial structure upgrading. In addition, government intervention will have a negative impact on industrial structure upgrading, and the level of informatization can promote the upgrading of industrial structure. Therefore, it is necessary to promote the development of the manufacturing industry, improve the layout of the manufacturing industry, enhance the innovation ability of the manufacturing industry, improve the manufacturing infrastructure, and promote the agglomeration of the manufacturing industry to promote the upgrading of the industrial structure.