A shopper in Beijing clicks "buy now" on a carton of pineapples. When the parcel arrives, the fruit is firm, golden and carefully packed. But the same product link, ordered at the same time and shipped to a county in northern China, produces a different outcome: the skin is bruised, the color is dull and the fruit is unevenly ripe. Another consumer orders a branded jacket. In a major city it arrives crisp and well-cut; in a smaller town, the same listing brings a limp, poorly finished version that barely resembles the advertised image.

These are not isolated complaints. They reflect a broader pattern in China's online economy: identical prices no longer guarantee identical goods. Behind the polished interface of e-commerce platforms, a quieter logic is taking shape — one that sorts consumers by perceived value and adjusts quality accordingly.

At the center of this shift is algorithmic segmentation. E-commerce increasingly relies on behavioral profiling: delivery addresses, refund histories, complaint frequency and even an estimated "tolerance" for poor service.

In many cases, urban buyers are treated as "high scrutiny" users who are more likely to complain, escalate disputes or trigger penalties. Rural and county-level buyers, by contrast, are often implicitly classified as low-friction customers — less likely to return goods, less likely to pursue complaints, and therefore easier to serve with downgraded inventory.

This is a subtler form of algorithmic price discrimination. The issue is no longer that different consumers pay different prices, but that they pay the same price for different things.

From a commercial standpoint, the logic is straightforward. A customer who rarely returns means lower transaction cost. A customer located far from logistics hubs faces higher friction in sending goods back. A customer with limited access to consumer protection channels is, from a platform's perspective, less "expensive" to disappoint.

What emerges is an inverted version of market efficiency. Instead of competition improving quality across the board, segmentation encourages a quiet downward adjustment for those deemed least likely to resist it.

This matters because county-level markets are now central to China's consumption story.

Retail sales in rural and township areas are growing faster than in urban centers, and county markets now account for about 40 percent of total retail consumption. Brand chains are expanding aggressively into smaller cities, while digital commerce penetration is deepening.

Yet beneath this growth lies a structural asymmetry. Consumption capacity has risen faster than consumption capability. In many rural areas, consumers — especially older residents — face information gaps. Product comparison tools are limited, review ecosystems are hard to interpret and digital literacy varies widely.

The result is "soft targeting", where lower expected resistance shapes the business model. A discounted resolution — refund coupons instead of replacement goods, partial compensation instead of accountability — works more easily in markets where transaction costs are high for consumers and institutional recourse is limited.

The supply chain reinforces these dynamics. China has expanded rural logistics through county-level hubs and wider courier coverage, but the "last mile" remains costly. Low population density raises delivery costs, while fragmented demand weakens quality control.

At the same time, rural retail is fragmented. Unlike urban areas dominated by chain supermarkets and branded outlets with centralized procurement and quality control, county and village markets rely heavily on small retailers.

These operators often prioritize price over consistency, sourcing from multiple suppliers without strong verification systems. The lack of scale reduces their bargaining power and weakens enforcement of standards upstream.

Regulatory capacity is another constraint. While China's product quality regime has improved in recent years, inspection data continue to show higher non-compliance rates among small producers compared with larger firms. In practice, this creates a permissive environment where lower-grade goods can flow more easily into less scrutinized markets.

Addressing this imbalance requires more than complaint channels or periodic enforcement drives.

The priority is to eliminate ambiguity around product quality. Platforms should ensure identical listings correspond to identical fulfillment standards, backed by algorithmic audits to identify sellers who systematically ship lower-grade goods to specific regions.

Second, logistics infrastructure should evolve from coverage to consistency. County-level consolidation hubs that centralize sorting and inspection can reduce variation in product quality. Early experiments in pooled procurement and unified distribution show that scale improves both efficiency and quality control.

Third, the production side needs tighter integration into national quality frameworks. A single product standard should apply regardless of the destination market, with clear labeling when specifications differ.

Finally, the demand side cannot be ignored. Improving consumer literacy in county markets is not a secondary issue; it is a structural condition for fair exchange.

Better access to comparison tools, simplified dispute resolution channels, and targeted digital training can shift bargaining power incrementally.

At stake is not simply consumer satisfaction. It is the credibility of a unified domestic market. A system in which identical prices mask differentiated quality undermines trust in digital commerce and weakens the consumption potential of precisely those regions that are driving China's next phase of growth.

A true single market requires more than shared platforms and integrated logistics. It requires a shared standard of treatment. Without that, the logic of efficiency risks hardening into a geography of quiet inequality — one package, two qualities, and a widening gap between them.

Ye Xu is an associate professor at the Institute of Western China Economic Research in Southwestern University of Finance and Economics; and Wu Youmeng is an associate professor at the School of Business in Anhui University of Technology.

The views don't necessarily reflect those of China Daily.

If you have a specific expertise, or would like to share your thought about our stories, then send us your writings at opinion@chinadaily.com.cn, and comment@chinadaily.com.cn.