When Connectivity Stops Being Enough: The Innovation Challenge Facing Emerging Economies

Across emerging economies, expanding internet access, increasing research investment and improving governance are often pursued as parallel strategies to encourage entrepreneurship. However, the conditions associated with new business creation differ considerably depending on how established entrepreneurial activity already is. A country struggling to generate formal enterprises may face a fundamentally different challenge from one where business formation is widespread but converting scientific knowledge into commercial opportunities remains an ambition.

A study titled "Entrepreneurial Dynamics in Emerging and Transition Economies: The Role of Digital Infrastructure, National Innovation Capacity, and Institutional Quality," published in the journal Economies, examines these differences across 20 economies between 2006 and 2024. Authored by Arslonbek Nurjonov, Sukhrob Yuldoshev, Zokir Mamadiyarov, Kamola Kilicheva, Davronjon Abdullajonov, Janibek Saukhanov and Javohir Babajanov, the research identifies three distinct statistical relationships shaping formal entrepreneurial entry.

Its key conclusion challenges uniform entrepreneurship strategies. Digital infrastructure is most strongly associated with business formation where entrepreneurial activity is relatively weak, while national innovation capacity becomes more strongly associated with registrations in more dynamic environments. Institutional quality, meanwhile, maintains a comparatively consistent positive association across the entrepreneurial distribution.

The entrepreneurship puzzle: Why similar investments produce different outcomes

New business formation offers emerging and transition economies an opportunity to diversify production, expand formal economic activity and create employment. However, the ability to generate new enterprises varies sharply across countries, reflecting differences in technological infrastructure, research capabilities and the institutional environment surrounding commercial activity.

Much entrepreneurship research has examined these forces individually. Digitalization can reduce communication and market-access barriers, innovation systems can generate commercial opportunities, and effective institutions can improve the conditions governing business activity. Examining one dimension without considering the others, however, risks overlooking how these economic characteristics develop together.

The researchers address this limitation using 380 country-year observations covering countries including India, Brazil, China, Indonesia, South Africa, Uzbekistan and Vietnam. They also distinguish ten post-socialist economies from ten other emerging markets, recognizing that historical economic structures and institutional development may shape entrepreneurial conditions differently.

Entrepreneurial activity is measured through new limited liability company registrations per 1,000 working-age adults. Thirteen indicators are consolidated into three indexes representing digital infrastructure, national innovation capacity and institutional quality. The analysis combines multiple long-run estimation techniques with additional statistical tests examining how relationships change across the distribution of business formation.

The sample records an average of 2.845 new registrations per 1,000 working-age adults, with observations ranging from 0.120 to 8.650. These differences underline the uneven development of formal entrepreneurial activity within the selected economies, despite their shared classification as emerging or transition markets.

Digital connectivity opens markets, but its association with entrepreneurship weakens

Digital infrastructure demonstrates a positive long-run relationship with entrepreneurial entry. Across the principal estimation methods, a one-standard-deviation increase in the digital infrastructure index is associated with approximately 0.215 to 0.242 additional business registrations per 1,000 working-age adults.

The more revealing result emerges when the researchers examine different points in the conditional distribution of business registrations. The estimated digital coefficient reaches 0.278 at the 10th quantile but declines progressively to 0.079 at the 90th quantile, where it is no longer statistically significant.

The difference between these estimates is statistically significant, suggesting that connectivity is more strongly associated with formal business formation in observations characterized by weaker entrepreneurial activity. The researchers interpret this pattern as consistent with digital technologies helping overcome barriers created by limited market access and underdeveloped business services.

Improved broadband availability, mobile connectivity and internet access can potentially expand entrepreneurs' access to customers, suppliers and digital services. Where these capabilities are already extensively available, additional improvements may be associated with smaller changes in business registrations because connectivity has become an established economic condition.

This interpretation does not demonstrate that broadband expansion directly causes enterprise creation or establish a precise point at which connectivity becomes saturated. It instead highlights why national averages may conceal substantial differences in the relationship between digital infrastructure and entrepreneurial activity.

Innovation becomes more closely linked to business creation as entrepreneurial activity rises

National innovation capacity follows almost the opposite pattern. Its long-run coefficients range from 0.328 to 0.351 across the principal estimation methods, indicating a positive association between research capabilities and formal business registration.

However, this relationship is far from uniform. At the 10th quantile of entrepreneurial activity, the innovation coefficient is only 0.098 and statistically insignificant. It increases to 0.231 at the median and reaches 0.341 at the 90th quantile, with a statistically significant difference between the distribution's extremes.

The findings align with the study's discussion of knowledge commercialization. Scientific research and technological capabilities can create opportunities for enterprise formation, but exploiting those opportunities may require established business networks, financing mechanisms, technical skills and connections between research institutions and firms.

National innovation capacity is measured using research and development expenditure, researchers engaged in research activities and scientific publications relative to population. These indicators capture the scale of national knowledge production rather than the ability of individual enterprises to commercialize research.

Consequently, stronger research capacity does not necessarily correspond to equally strong entrepreneurial activity across every economic environment. The statistical pattern is consistent with the possibility that existing enterprise capabilities and institutional connections influence how scientific resources relate to new business formation, although those intermediate mechanisms are not directly tested.

For emerging economies, the distinction complicates the assumption that increasing research expenditure alone will necessarily expand entrepreneurship. The relationship between knowledge investment and formal business entry appears strongest where entrepreneurial dynamism is already relatively high.

Governance provides the consistent foundation across different entrepreneurial environments

Institutional quality presents a different pattern from both connectivity and innovation. Its estimated coefficients remain relatively stable across the entrepreneurial distribution, moving from 0.108 at the lowest quantile to 0.121 at the highest, with statistically significant positive associations throughout.

Formal testing finds no statistically significant difference between the coefficients at the distribution's extremes. The result suggests that institutional quality is associated with entrepreneurial entry across varying levels of business dynamism, rather than predominantly among economies with weak or strong entrepreneurial activity.

The institutional index incorporates control of corruption, government effectiveness, political stability, regulatory quality, rule of law, and voice and accountability. These measures represent formal governance conditions affecting the environment in which businesses operate and individuals make commercial decisions.

The broader analysis reinforces this relationship. After accounting for income per capita, private-sector credit, tertiary education and unemployment, all three indexes retain positive and statistically significant coefficients. Additional dynamic estimation produces smaller coefficients while preserving their positive direction and statistical significance.

Comparisons between post-socialist economies and other emerging markets reveal differences in coefficient magnitudes but no statistically significant differences between the groups. This suggests that the broad relationships are not solely an artifact of combining economies with contrasting institutional histories, although the relatively small subgroups limit statistical precision.

The study's evidence nevertheless requires careful interpretation. Formal registration data exclude informal enterprises and cannot establish whether newly registered businesses survive, innovate, create employment or improve productivity. The sample is also concentrated among upper-middle-income economies, restricting the extent to which conclusions can be extended to poorer countries.

Some research indicators required interpolation or projection, while the statistical methods cannot fully eliminate concerns about reverse causality. Moreover, the distributional estimates identify conditional associations rather than quantile-specific long-run causal effects, preventing their direct translation into predictions about individual policy interventions.

The research points toward a differentiated approach to entrepreneurship policy without establishing a tested sequence of reforms. Economies with relatively weak business formation may consider connectivity and barriers to formal entry alongside governance improvements, while more dynamic environments may place greater emphasis on research commercialization and knowledge-intensive enterprises.

For governments and development institutions, the deeper challenge is recognizing that digital access, innovation capacity and institutional quality occupy different positions in the entrepreneurial development process. Increasing investment in any single dimension cannot substitute for understanding the economic conditions surrounding it. The findings provide a basis for more context-sensitive policy assessment, while leaving the effectiveness, costs and sequencing of specific interventions to further investigation.