Inside China’s County Low-Altitude Economy: The Top 100 Ranking That Redraws Aerial Development

China's low-altitude economy has quietly shifted from a futuristic slogan into a measurable development strategy, and the most consequential battleground is no longer the skyscraper corridors of Shenzhen or Shanghai.

It is the county — the roughly 1,800 administrative units that anchor rural industry, agriculture, and regional logistics across the world's second-largest economy. A landmark ranking released in Beijing during the 2026 China International Fair for Trade in Services has now mapped that terrain with unusual precision, scoring counties on airspace resources, application scenarios, economic foundation, and physical infrastructure.

The report, titled Air Silk Road: China County Low-Altitude Economic Development Potential Top 100 Counties 2026, was compiled by a low-altitude economy industry-education group, the Beijing Airport Economic International Technology Research Institute, and Phoenix Finance.

Researchers spent nearly half a year examining 1,857 county-level administrative units across 27 provincial-level regions, drawing on data as of June 2026. Their conclusion carries strategic weight: the central and western regions are unlocking latent potential, while the eastern seaboard still leads on quality, supply chains, and commercial maturity.

What emerges is not merely a list but a doctrine. The report argues that counties should serve as the proving ground for drone logistics, agricultural spraying, emergency response, and urban governance before these models migrate into densely populated megacities.

Ma Jian, president of the Beijing Airport Economic International Technology Research Institute, framed the logic bluntly: safety is the bottom line, and the consequences of a drone failure differ enormously between a crowded urban core and a sparsely populated rural county. This is a deliberate "rural areas surrounding cities" strategy, and it deserves close analytical attention.

TL;DR China has released a Top 100 ranking of counties with the strongest low-altitude economic potential, scoring 1,857 county-level units across 27 provincial regions on airspace, application scenarios, economic foundation, and infrastructure. Airspace and scenarios together carry 60% of the weight; economics and infrastructure carry 40%. Northwest and East China each contribute 21 counties, followed by Southwest (14), North China (13), South China (12), Central China (10), and Northeast (9). Only about 28% of selected counties host general aviation airports, while roughly 62% have permanent takeoff and landing sites, revealing an infrastructure sector still in its infancy. The report prescribes a "one core airport plus multiple distributed nodes" network, warns against airport-centric overbuilding, and positions counties as the safety-first laboratory for a low-altitude economy that may eventually extend to Belt and Road partners.

The Methodology Behind China's County Low-Altitude Ranking

Any ranking of this scale lives or dies by its scoring architecture, and this one is unusually transparent about its priorities. The research team evaluated 1,857 county-level administrative units across 27 provincial-level regions, using a dataset frozen as of June 2026.

Four pillars determined each county's position: airspace resources, low-altitude application scenarios, economic foundation, and low-altitude infrastructure. The weighting is the story — airspace and scenarios together command 60% of the total score, while economics and infrastructure split the remaining 40%.

That distribution signals a deliberate philosophical choice. Planners are rewarding counties that possess usable sky and genuine demand for aerial services, not merely those with deep fiscal reserves or existing concrete.

A wealthy coastal county with congested airspace and no operational use case can be outranked by an inland county with open corridors and pressing agricultural needs. After screening, scoring, and expert review, exactly 100 counties survived the filter, spanning all 27 provincial-level regions examined.

Why Airspace and Scenarios Dominate the Score

Airspace availability is the scarcest commodity in China's low-altitude ambitions. Urban airspace above major cities is fragmented by military control zones, flight corridors, and dense safety restrictions, making routine commercial drone operations legally and operationally complex.

Counties, by contrast, often sit beneath relatively uncluttered airspace where flight approvals are simpler and risk exposure is lower. That structural advantage explains why the ranking treats airspace as a foundational asset rather than a secondary consideration.

Application scenarios carry equal weight because infrastructure without demand is a stranded asset. The report identifies four common starting paths among selected counties: agriculture-led development, proximity to core cities, cultural tourism resources, and energy-rich areas.

Each path generates predictable, recurring demand — crop spraying, inspection, aerial sightseeing, or pipeline monitoring — that justifies investment in takeoff and landing nodes. Demand, not ambition, anchors the model.

Economic Foundation and Infrastructure as Enablers

The remaining 40% of the score reflects the enabling conditions that convert potential into operations. Economic foundation determines whether a county can fund maintenance, train operators, and sustain commercial services beyond pilot programs. Infrastructure captures the physical footprint: runways, vertiports, charging facilities, and communications links.

Together they measure readiness rather than aspiration, separating counties that could launch tomorrow from those that merely hope to launch eventually.

This dual-pillar structure produces a nuanced picture. Some counties score highly on airspace and scenarios but lag on infrastructure, marking them as near-term candidates for distributed node investment. Others possess strong economic foundations but constrained airspace, suggesting they should focus on industrial supply chains rather than flight operations. The ranking thus functions as a diagnostic tool, not a simple league table.

Regional Distribution and the East-West Quality Divide

The geographic spread of the Top 100 reveals a country developing along two distinct tracks. Northwest and East China each contribute 21 counties, making them the joint leaders by volume. The Southwest follows with 14, North China with 13, South China with 12, Central China with 10, and the Northeast with 9.

That distribution is remarkably even, yet the underlying character of each region's advantage differs sharply, and the report is careful to distinguish quantity from quality.

The overarching pattern is unambiguous: central and western regions are releasing potential, while eastern regions lead in quality. Western and central counties possess abundant airspace and strong demand for production-related tasks such as agriculture, energy inspection, and emergency response, but they frequently lack industrial depth.

Eastern counties command stronger supply chains, mature commercial operations, and skilled labor, yet their available airspace is tightening under urban expansion and regulatory pressure.

Northwest and East China: Two Models of Leadership

Northwest China's 21 counties reflect the classic potential profile — vast open airspace, energy-rich terrain, and agricultural economies ripe for drone-enabled efficiency. These counties are natural candidates for distributed takeoff and landing nodes rather than large aviation hubs. Their constraint is capital and industrial ecosystem depth, not sky. The ranking implicitly recommends patient infrastructure investment paired with scenario-specific deployment.

East China's 21 counties tell a different story. Here, supply chains are dense, commercial demand is proven, and operators possess technical maturity. The binding constraint is airspace congestion and rising safety scrutiny.

These counties are positioned to lead on industrial standards, manufacturing of drone components, and high-value service models, exporting expertise rather than merely consuming it.

Southwest, North, South, Central, and Northeast Contributions

The Southwest's 14 counties benefit from mountainous terrain where aerial logistics and inspection deliver outsized value compared with ground transport. North China's 13 counties leverage proximity to political and industrial centers.

South China's 12 counties combine commercial vitality with tourism demand, while Central China's 10 and the Northeast's 9 round out a genuinely national footprint.

This even distribution matters politically and economically. It prevents the low-altitude economy from becoming a coastal monopoly and ensures that inland provinces have tangible stakes in national policy. It also creates a natural laboratory: dozens of counties can test different operating models simultaneously, generating comparative data that no single pilot zone could produce alone.

Infrastructure Reality: Airports Versus Distributed Nodes

Beneath the optimistic rankings lies a sobering infrastructure picture. Only about 28% of the selected counties host a general aviation airport, and roughly 62% possess permanent takeoff and landing sites.

In other words, nearly four in ten top-ranked counties still lack even a fixed vertical access point, and fewer than a third can accommodate conventional general aviation operations. The physical layer of China's low-altitude economy remains unmistakably early-stage.

The report is pointed about the strategic error this creates. It warns against overemphasizing airports rather than distributed nodes, noting that large aviation facilities are capital-intensive, slow to permit, and poorly matched to the dispersed, high-frequency nature of county-level drone operations.

A single runway serving a wide rural area cannot deliver the density of access that agricultural spraying, parcel logistics, and emergency response actually require.

The "One Core Plus Multiple Nodes" Network Model

The proposed remedy is a network architecture: one core general aviation airport supported by multiple distributed takeoff and landing points. This hub-and-spoke design concentrates expensive infrastructure where it delivers the greatest capability while spreading lightweight nodes across the operational geography.

It mirrors the logic of cellular networks, where a few macro towers coexist with thousands of small cells to achieve coverage.

Critically, the model pairs physical infrastructure with a governance formula: government guidance, market operation, and diversified services. Public authorities set safety standards, airspace rules, and land-use frameworks, while private operators run commercial services and compete on efficiency.

Diversified services — agriculture, logistics, inspection, tourism, emergency response — spread revenue risk across multiple demand cycles rather than betting on a single vertical.

Standards, Utilization, and the Digital Platform

The report identifies three persistent problems: overemphasis on airports rather than distributed nodes, inconsistent standards across regions, and low utilization of existing general aviation airports. The third is especially telling. Building facilities without generating demand produces idle assets, and idle assets erode political and financial support for the entire program. Utilization, not construction, is the true measure of progress.

To address fragmentation, a digital platform on county low-altitude economy will be launched, presumably aggregating airspace data, flight approvals, operational metrics, and best practices. Standardization across regions is essential because drones and operators cross administrative boundaries routinely. Without interoperable rules, a county's investment can be stranded the moment a neighboring jurisdiction applies incompatible requirements.

Four Starting Paths for County Low-Altitude Development

Potential without a viable entry point is merely theory, so the report identifies four common starting paths that selected counties actually follow. The first is agriculture-led development, where crop spraying, seeding, and monitoring generate immediate, recurring demand across large cultivated areas.

The second is proximity to core cities, allowing counties to serve as logistics and service satellites for nearby metropolitan demand without bearing urban airspace constraints.

The third path centers on cultural tourism resources, where scenic areas, 5A-rated destinations, and heritage sites create demand for aerial sightseeing, photography, and rapid access. The fourth path involves energy-rich areas, where pipeline inspection, transmission line monitoring, and remote infrastructure maintenance justify sustained drone operations. Each path offers a distinct revenue logic and a distinct infrastructure requirement.

Agriculture-Led and City-Proximity Models

Agriculture-led counties benefit from predictable seasonality and measurable productivity gains. Drone spraying reduces chemical use, covers terrain faster than manual methods, and reaches fields inaccessible to ground equipment. The economics are compelling because the customer — the farming operation — already spends on crop protection and can compare costs directly against conventional alternatives.

City-proximity counties occupy a different niche. They host distribution nodes, maintenance depots, and operator training facilities serving nearby urban markets, capturing value from the metropolitan economy without inheriting its airspace congestion.

This model resembles the logistics satellite towns that surround major ports and airports, and it scales naturally as urban drone demand grows.

Cultural Tourism and Energy-Rich Area Models

Cultural tourism counties monetize experience rather than efficiency. Aerial sightseeing over scenic landscapes commands premium pricing, and drone light shows or aerial photography services extend visitor spending into new categories.

The infrastructure requirement is modest — a few well-placed landing sites near attractions — making this the lowest-barrier entry path for counties with strong tourism assets.

Energy-rich counties pursue operational necessity. Pipelines, transmission corridors, and remote extraction sites are expensive to inspect manually and dangerous to access in bad weather. Drones deliver inspection data faster, cheaper, and more safely, creating demand that persists regardless of consumer sentiment. These counties often possess the strongest economic foundation among the four categories.

Safety Doctrine and the "Rural Surrounds Cities" Strategy

The intellectual core of the report is a safety argument that inverts conventional development logic. Ma Jian, president of the Beijing Airport Economic International Technology Research Institute, contends that counties are the focus precisely because safety is the bottom line.

A drone malfunction in a densely populated city produces consequences — casualties, property damage, public backlash — that differ categorically from an incident over sparsely populated farmland.

This asymmetry creates a rational sequencing strategy. Counties offer relatively abundant airspace, lower population density, and broader operational needs spanning logistics, agriculture, urban governance, inspection, emergency response, and mountainous applications. Big cities face tighter management constraints and higher safety requirements.

Testing in counties therefore reduces the cost of failure while generating the operational experience needed for eventual urban deployment.

Why Dense Cities Face Higher Barriers

Urban airspace is a contested commons. Military control zones, commercial flight paths, heliport corridors, and building density all constrain where drones can fly and at what altitude. Regulatory approval in cities involves more stakeholders, more environmental review, and more political sensitivity. Each additional constraint raises the cost and time required to launch a commercial service.

Population density compounds the problem. A single incident in a crowded district can trigger regulatory crackdowns affecting an entire industry, whereas a rural incident is contained and instructive. The report's logic is essentially probabilistic: by accumulating flight hours in lower-consequence environments, operators build the safety record that regulators will eventually require before authorizing urban operations at scale.

Extending the Model to Belt and Road Partners

Ma Jian adds a geopolitical dimension. He suggests China's low-altitude development could later offer experience and cooperation to neighboring countries and Belt and Road partner countries, with the 100 counties serving as carriers and nodes. This transforms a domestic infrastructure program into an exportable model of standards, equipment, training, and operational know-how.

The "Air Silk Road" branding is deliberate. Just as maritime and rail corridors connected China to global markets, an aerial corridor network could link counties to cross-border logistics and service chains.

If the county model proves safe and commercially viable, it becomes a template that developing economies with similar rural geographies can adopt with Chinese technical support.

Strategic Outlook: The Next Three to Five Years

The report projects a clear division of labor over the next three to five years. The east will focus on industry — manufacturing, standards, supply chains, and high-value commercial services.

The central and west will focus on application scenarios, deploying drones across agriculture, energy, and public services where airspace is abundant and demand is concrete. Cross-regional networking will connect these complementary strengths into a coherent national system.

This is a sophisticated industrial policy framework. Rather than forcing every region to replicate the same model, it assigns roles based on comparative advantage. Eastern counties export equipment and expertise; central and western counties generate operational data and prove use cases at scale. The network effect emerges when data, standards, and commercial relationships flow between them.

Risks of Overbuilding and Standard Fragmentation

The most serious risk is capital misallocation. If local governments compete to build general aviation airports without corresponding demand, they will create a generation of underused assets. The report explicitly warns against overemphasis on airports rather than distributed nodes, and it flags low utilization of existing general aviation airports as an already-visible problem.

Standard fragmentation poses a subtler threat. If provinces adopt incompatible certification, airspace, and data rules, operators face a patchwork that raises costs and limits scale. The planned digital platform on county low-altitude economy is intended to counter this by harmonizing data and practices, but its success depends on genuine interprovincial cooperation rather than nominal participation.

Global Implications and the Air Silk Road Vision

If China's county model succeeds, its implications extend well beyond domestic development. Developing economies across Southeast Asia, Central Asia, Africa, and Latin America share the structural conditions that make counties attractive: abundant airspace, agricultural economies, dispersed infrastructure, and limited urban congestion. A proven, safety-certified county playbook becomes an exportable public good.

The Air Silk Road framing positions these 100 counties as nodes in a broader connectivity vision. Equipment manufacturers, operators, training institutions, and standards bodies all gain addressable markets. Whether that vision materializes depends on execution — on safety records, commercial viability, and the willingness of partner countries to adopt Chinese technical standards in a strategically sensitive domain.

Conclusion: Counties as the Proving Ground for China's Aerial Ambitions

The 2026 Top 100 ranking is more than a list of promising localities. It is a strategic document that reframes where and how China's low-altitude economy should develop. By weighting airspace and application scenarios at 60%, it prioritizes operational reality over prestige infrastructure.

By sequencing counties before cities, it manages risk while accumulating the flight hours and safety data that urban deployment will eventually demand.

The challenges are substantial. Infrastructure remains early-stage, with only about 28% of selected counties hosting general aviation airports. Standards are inconsistent, utilization is low, and the temptation to build airports rather than distributed nodes persists.

Yet the framework is coherent: one core airport plus multiple nodes, government guidance with market operation, and diversified services that spread demand across agriculture, logistics, tourism, and energy.

If executed with discipline, this county-first model could deliver something rare in industrial policy — a scalable, safety-certified template that serves domestic development and international cooperation alike. The 100 counties are not merely beneficiaries of the low-altitude economy; they are its laboratories, its proving grounds, and potentially its most exportable asset.