From Cheap to Competitive

By Vedang Vatsa · Published: February 26, 2026

Walk into any American store in 1965 and pick up a product labeled "Made in Japan." The customer next to you would likely make a face. Japan at that point carried a stubborn reputation for cheap toys, imitation goods, and flimsy electronics. By 1985, those same American consumers were lining up to buy Japanese cars for their reliability. By 2000, "Made in Japan" had become one of the most powerful quality signals in global consumer markets (Nagashima, 1970). That rehabilitation did not happen through advertising. It followed, with a lag of roughly fifteen to twenty years, a genuine improvement in Japanese industrial capacity and per capita income.

The same arc has repeated with South Korea and, more recently, with China. What the academic literature on country-of-origin effects has not always emphasized is how predictably the direction of country image shifts as national income rises. This essay brings together COO research, development economics, and cross-country data to argue that the perception lag is structurally determined and measurable against income levels. India today sits at the front end of this cycle.

What the Research Actually Established

The formal study of how national origin shapes product evaluation began with Schooler's 1965 experiment, in which Central American consumers rated identical products differently based solely on their labeled country of origin. Bilkey and Nes (1982) synthesized 48 published studies and confirmed that the phenomenon was robust across product categories, demographics, and national contexts.

Two explanations dominate. The halo model holds that when consumers lack direct experience with a country's products, their general image of that country colors all product evaluations. Han (1989) found clear evidence for this among American consumers evaluating Korean and Japanese goods. The summary construct model holds that over time, as consumers accumulate product experience, the country label becomes shorthand for those accumulated experiences rather than a reflection of general national impressions.

Verlegh and Steenkamp's 1999 meta-analysis of 41 studies found a weighted effect size of d = 0.60, placing COO influence in the medium-to-large range. They found this effect significantly moderated by national income, suggesting that wealthier consumers use national origin as a quality cue more readily. Pappu, Quester, and Cooksey (2007) extended the analysis to show that country image affects not just individual products but entire brand portfolios, functioning like a parent brand over every firm operating under a national label.

The takeaway is this. National origin functions as a quality cue that is partly rational, reflecting real product quality, and partly cognitive bias, reflecting general country image that lags actual improvement. That lag is precisely where the predictive opportunity lies.

Why Quality Genuinely Improves During Catch-Up

The perception lag would matter less if it did not track a genuine economic transition. The evidence is clear that low-income countries during rapid industrialization really do go through a phase of lower manufacturing quality before improving.

Abramovitz (1986) formalized the catching-up hypothesis, demonstrating that productivity growth tends to be faster in countries further behind the technological frontier because the scope for imitation is larger. Akamatsu (1962) described the sectoral dynamics with his flying geese model, in which developing countries move through successive industries, from textiles to electronics to automobiles to high technology, as wages and capabilities rise.

Vernon's (1966) product cycle theory provides the trade explanation. New products are first produced in high-income countries. As they standardize, production migrates to lower-cost locations. The receiving country initially produces at lower quality before improving through learning-by-doing. Lall (2000) applied this to developing country exports and showed that technological content rises measurably as income grows.

The quality improvement that drives the eventual perception shift is not a branding exercise. It is the natural output of rising wages forcing automation, multinational firms bringing quality standards as a condition of supplier relationships, and export markets punishing poor quality with returns.

Japan, the Original Template

Japan's per capita GDP in 1960 was approximately $479 versus $3,007 in the United States (World Bank, 2024). The quality revolution came through statistical process control, Deming's management frameworks, and the Toyota Production System, which Womack, Jones, and Roos (1990) documented in detail as producing measurably fewer defects per vehicle than American or European competitors by the early 1980s.

The consumer perception shift came with a lag of roughly fifteen years. The 1973 oil crisis accelerated it because small fuel-efficient Japanese cars suddenly had a functional advantage that forced reluctant consumers to test them. Once tested, the quality was evident. By 1985, Japanese automakers held approximately 25% of the American automobile market, a figure that was near zero in 1965. Japan's per capita GDP had risen to $9,307 by 1980 and reached $38,532 by 2000. The full rehabilitation took approximately thirty-five years, but the critical perceptual shift happened in a fifteen-year window between 1970 and 1985.

South Korea, Deliberate Acceleration

South Korea compressed the timeline. Per capita GDP in 1970 was approximately $279 (World Bank, 2024). Exports were dominated by textiles, wigs, and plywood. Government-directed chaebol policy pushed rapid sectoral upgrading through steel, shipbuilding, electronics, semiconductors, and automobiles.

Hyundai entered the American market in 1986 with the Excel at $4,995, the cheapest new car available. Quality was poor. J.D. Power placed Hyundai near the bottom through the late 1980s. Kim (1997) documented how Korean firms moved through a deliberate three-stage process, acquiring foreign technology, internalizing it, then generating original innovation.

Per capita GDP reached $22,087 by 2010. The brand rehabilitation of Hyundai took roughly twenty years from market entry. Samsung overtook Apple in global smartphone shipments by 2012. Interbrand's 2022 ranking placed Samsung fifth globally at approximately $87.7 billion in brand value. Korea also introduced deliberate nation branding as a policy accelerant. The Hallyu worked because there was genuine quality behind it, consistent with Anholt's (2005) argument that nation branding works best when it amplifies authentic reality.

China, Scale and the Persistent Lag

China's per capita GDP in 2000 was approximately $959 (World Bank, 2024). "Made in China" was near-universally associated with low-quality mass production and the 2007-2008 product safety scandals reinforced it. Morrison (2019) documented China's share of global manufacturing value rising from 7% in 2000 to 28% by 2018.

Rodrik (2006) showed that China's export basket was unusually sophisticated for its income level, exporting goods typically associated with countries three to four times richer. Schott (2008) confirmed this using unit value data. Per capita GDP reached $12,720 by 2022. DJI controls approximately 70% of the global consumer drone market. BYD became the world's largest electric vehicle manufacturer by volume in 2023. Yet in Western consumer surveys, "Made in China" still registers below "Made in Germany" or "Made in Japan." The perception lag is running at roughly ten to fifteen years.

The Income Thresholds

Across all three cases, the onset of quality recognition clusters around $5,000 to $10,000 in per capita GDP. Full premium perception arrives at $15,000 to $25,000. This is roughly where manufacturing wages have risen enough to force automation, domestic firms have accumulated enough learning-by-doing to hit international standards, and enough globally competitive firms have emerged to shift the aggregate national image. Pierson (2000) observed that self-reinforcing feedback loops generate threshold effects of exactly this kind, with reputation updating accelerating once confirming evidence becomes abundant.

India, Current Position and Projections

India's per capita GDP in 2023 was approximately $2,730 (World Bank, 2024), aligning closely with China around 2007 and South Korea in the late 1980s. IMF projections (2024) suggest India reaches the $5,000-8,000 onset threshold around 2030-2035.

India's position is strongly bifurcated. Software and IT services have already completed the full perception cycle. India's software exports grew from $6 billion in FY2001 to over $194 billion in FY2023 (NASSCOM, 2023). Infosys, TCS, and Wipro are not perceived as cheap alternatives. They compete directly for enterprise contracts on quality terms. Pharmaceuticals represent the second completed sector, with India accounting for roughly 20% of global generic medicine exports and 40% of generic drug approvals in the United States. These products meet the same FDA standards as branded alternatives.

Consumer manufacturing is where the gap remains largest. India's engineering goods and electronics exports are still early stage. Apple's decision to shift iPhone assembly to India, with Foxconn and Tata Electronics operating facilities in Tamil Nadu and Karnataka, represents exactly the multinational quality-signal investment that preceded perception transitions in both Korea and China.

Kochhar et al. (2006) showed that India's development pattern was unusually services-led for its income level, with formal manufacturing remaining a smaller share than in East Asian comparators. This means India's manufacturing perception transition will arrive later relative to overall income than it did for Japan, Korea, or China. Bosworth and Collins (2008) confirmed that India's total factor productivity growth was strong in services but lagged China in manufacturing.

Between 2024 and 2030, India will likely remain in a phase similar to China around 2005-2010. Real quality improvement will run ahead of perception, particularly in electronics assembly, automotive components, and specialty chemicals. Between 2030 and 2038, as per capita GDP crosses $5,000-8,000, sector-level tipping points become probable. Apple-branded iPhones assembled in India will carry the same equity as those assembled anywhere else. The first Made-in-India consumer electronics brands may begin significant international marketing, following Samsung's trajectory from the early 1990s.

The perception shift for manufacturing will be driven by a small number of high-visibility successes rather than broad-based averaging. Japan shifted through automobiles. Korea shifted through smartphones. China is shifting through electric vehicles. For India, the anchor is likely consumer technology, because consumers in Western markets currently encounter very few Indian-made goods in daily life. The moment a consumer in Berlin picks up an iPhone, reads "Assembled in India," and the phone works perfectly, repeated across hundreds of millions of units, is what moves aggregate national image.

The Core Argument

Low product quality in the early industrialization phase is not a fixed cultural feature. It is a temporary feature of a particular stage in the income and capability curve. The perception that attaches to it generalizes across people, firms, and categories, and it persists long after the economic fundamentals have moved on.

The most important investment for firms, policymakers, and analysts tracking this transition is not in advertising India's quality. It is in making more of it, as fast as possible, in sectors where global consumers will encounter the evidence directly. The reputation will follow the reality. In every case examined here, it always has.