Population Distribution and Industrial Facility Agglomeration: An Industry Study on the Spatial Rebalancing of Urban Industries in China

China's population distribution and the agglomeration of industrial facilities are shifting from a simple "coastal-inland" gradient to a more complex urban network. The study published in *Scientific Reports*, "Research on the relationship between population distribution pattern and urban industrial facility agglomeration in China," provides a cross-section worthy of attention from industrial researchers: it does not treat population as a static labor pool for manufacturing, nor does it view industrial facility agglomeration merely as the density of factories and industrial parks. Instead, using POI data and LandScan population raster data, it examines the interaction between industrial space and population distribution from 2015 to 2021 at the level of 352 prefecture-level and above administrative units. For global manufacturing, the significance of such research lies not in how many more factories a given city has, but in revealing a new equilibrium taking shape among industrial layout, public services, governance capacity, and population retention.

From annual data to real-time space: the way industrial geography is observed is changing

Traditional research on industry and population often relies on panel data, but its coverage and timeliness are limited. This study turns to POI data and combines it with LandScan population raster data to conduct real-time, fine-grained assessment of industrial facility agglomeration. This methodological shift itself is an important signal for global industrial analysis: observations of supply chains and manufacturing are extending from macro indicators such as customs, capacity, and orders to micro-level spatial combinations of industrial parks, R&D institutions, government agencies, schools, hospitals, and cultural facilities.

When industrial analysis can identify which facilities are agglomerating within a city, it can get closer to the real production network. Factories are not islands; manufacturing capacity also depends on the supply of engineers, vocational training, logistics nodes, energy facilities, and administrative services. POI data places these scattered elements into a single spatial framework, so that "industrial facility agglomeration" is no longer merely manufacturing density but becomes a proxy variable for the combination of urban functions.

Industrial facility agglomeration enters the population equation: not a simple "factory-worker" relationship

Industrial facility agglomeration refers to the spatial concentration of industrial activity. Its theoretical roots can be traced to Marshall, Weber, and Krugman's new economic geography framework, especially how increasing returns to scale shape industrial and urban agglomeration. The core question this study focuses on is: how does facility agglomeration in different industry types affect urban population size and population growth.Research shows that the factors affecting urban population growth rates are evolving. The importance of government agencies and social organizations is rising, while science, education, and cultural services continue to exert influence. This finding deserves the attention of manufacturing decision-makers: population migration and retention are no longer determined only by factory jobs. Urban governance capacity, public service quality, and educational and cultural resources are becoming important variables in where the industrial population chooses to settle. For manufacturing cities, this means the issue of “recruiting workers” is becoming one of “retaining people,” and “retaining people” in turn depends on the combined effect of the industrial ecosystem and urban services.

2015–2021: The Linear Relationship Persists, but Its Strength and Direction Change

The study points out that industrial facility agglomeration and population growth rates showed a linear relationship in 2015 and 2021, but the strength and direction of the relationship changed. This point is crucial. It shows that industrial agglomeration does not automatically bring population growth; the same industrial spatial form may correspond to different population outcomes in different years and different regions.

This aligns with China’s demographic context. Between 2015 and 2021, China’s population continued to grow but slowed, pressure from aging rose, and low fertility persisted after the implementation of the two-child policy in 2015. Regionally, the eastern coastal areas had higher population density, while the western regions had lower population density; urbanization advanced alongside rural population decline and changes in urban-rural disparities. Population is no longer a factor that can be supplied indefinitely, and both manufacturing and cities must face a tighter labor market and a more complex logic of population mobility.

Regional Differences: Industrial Policy Cannot Use a Single Template

The study emphasizes that there are significant regional differences in industrial facility agglomeration patterns, so customized strategies are needed to optimize industrial structure, promote innovation-driven sectors, and drive sustainable population growth. This conclusion has direct implications for industrial policy: eastern coastal areas, central and western cities, resource-based cities, and inland hubs cannot use the same set of investment attraction and population policies to solve their respective problems.

For manufacturing enterprises, regional choice is no longer just a comparison of land, taxes, and labor costs. Supply chain resilience, port and logistics systems, energy costs, engineer density, vocational training systems, and government service efficiency all affect the long-term returns of factories and R&D centers. If industrial facility agglomeration lacks support from science, education, culture, and public services, it may form a fragile structure of “factories without a city”; conversely, with only public services and no industrial jobs, it is also difficult to create sustainable population attractiveness.

Implications for Global Manufacturing and Supply Chains

If this Chinese study is observed in the context of global manufacturing restructuring, several long-term threads can be seen.

First, demographic structural change is altering the locational logic of manufacturing. Contracting labor supply and accelerating aging are making automation, industrial robots, and AI manufacturing shift from efficiency tools to competitive necessities. Germany’s push for Industry 4.0, Japan’s long-term development of the robotics industry, and South Korea’s formation of semiconductor and electronics industrial clusters all show that manufacturing powers are using technological density to hedge against changes in population density.

Second, supply chain regionalization and industrial facility agglomeration reinforce each other. Global companies disperse production segments to locations closer to markets, energy, and key materials, but R&D, engineering, services, and governance capabilities still tend to cluster. The result is that manufacturing networks become more regionalized, while innovation and service nodes become more concentrated.

Third, the rise of manufacturing in the Global South is not driven only by labor costs. When economies such as Vietnam and India take on labor-intensive segments, they must also build ports, electricity, vocational education, and park governance capacity. Whether industrial facilities can form effective agglomerations depends on whether these supporting elements can be put in place in sync.

Fourth, urban population policy and industrial policy need to be coordinated. The study suggests that government institutions, social organizations, science, education, and cultural services, and industrial facility agglomeration jointly enter the population growth equation. For cities hoping to attract advanced manufacturing, semiconductors, new energy, and electric vehicle supply chains, simply building factory buildings is far from enough; they must also build technical education, R&D platforms, living services, and administrative efficiency.

Conclusion: From Quantitative Expansion to Quality Matching

The value of this study lies not in providing a simple conclusion that "the more industrial agglomeration, the more population growth," but in showing that the relationship between industrial space and population space is becoming more complex, more regionalized, and more dependent on institutions and services. For global manufacturing, future industrial competition is not only competition among factories, but also competition among urban systems, supply chain nodes, and public governance capabilities. Whoever can better match industrial facilities, innovation resources, and population retention will be more likely to seize the initiative in the next round of manufacturing restructuring.

Source: Research on the relationship between population distribution pattern and urban industrial facility agglomeration in China