Digital Transformation May Supercharge Vietnam’s Green Transition, Study Finds

Vietnam’s push to become a digital economy has long been framed as a story about growth, connectivity, and modernization. But a new study suggests that the country’s digital transformation may also be quietly reshaping its environmental performance, with effects that spill across provincial borders, flow through innovation systems, and switch on dramatically once a region crosses a critical threshold of digital capability. The research, published in Environmental and Sustainability Indicators, offers one of the most detailed subnational portraits yet of how digital infrastructure and green outcomes intertwine in a middle-income economy.

A team of Vietnamese researchers led by Thi Thao Pham and Khanh Cuong Le assembled a balanced panel covering all 63 Vietnamese provinces and centrally administered municipalities from 2010 to 2023, yielding 882 province-year observations. Their central instrument is a newly constructed Multidimensional Digital Transformation Indicator, or DTI, built from five dimensions: digital infrastructure such as fixed broadband subscriptions, digital adoption measured by active internet use, digital innovation captured through ICT-registered enterprises and e-commerce activity, digital governance based on provincial e-government readiness scores, and digital industry development reflecting the digital economy’s share of provincial GDP. The authors subjected the composite to an unusually thorough battery of diagnostics, including parallel analysis, reliability statistics such as McDonald’s omega of 0.89, and comparison against alternative weighting schemes, all of which supported its use as a regional capability measure.

The theoretical heart of the paper is a concept the authors call green capability infrastructure. Drawing on general-purpose technology theory, knowledge spillover theory, and absorptive capacity theory, they argue that digital transformation functions less like ordinary capital and more like an enabling layer for sustainability: it reduces the cost of searching for and transmitting knowledge, lowers barriers to adopting clean technologies, and helps shift economic activity toward less energy-intensive sectors. Crucially, the framework generates testable predictions that individual theories alone do not produce, namely that digital capability should correlate with green performance, that part of the relationship should travel through innovation, and that the association should strengthen once provinces accumulate enough digital capability to absorb and exploit new knowledge.

The empirical results are striking. In the preferred fixed-effects specification, a one-standard-deviation increase in the DTI corresponds to an energy-efficiency gain equal to roughly 10 percent of the sample mean. Energy efficiency here is measured as real GDP per unit of final energy consumption, a metric aligned with Vietnam’s National Energy Efficiency Program. The association survives a gauntlet of robustness checks: it holds when the index is rebuilt with entropy-weighted or equal-weight methods, when the outcome is switched to green total factor productivity computed with carbon dioxide treated as an undesirable output, and when the analysis is restricted to manufacturing energy intensity to rule out the possibility that service-heavy provinces are simply more efficient by composition.

Perhaps the most consequential finding concerns geography. Using a Spatial Durbin Model, the researchers decomposed the total association into direct and indirect components and found that approximately 37.5 percent of the fitted DTI-energy-efficiency relationship is indirect, meaning it operates through spatially neighboring provinces. Global Moran’s I statistics confirmed significant positive spatial autocorrelation in both digital capability and energy efficiency, with a high-high cluster centered on the Red River Delta and a persistent low-low cluster in the Northwestern Uplands. When the authors shuffled the spatial weight matrix at random, the fitted indirect effect collapsed to statistical insignificance while the direct effect remained intact, evidence that the spillover pattern depends on the actual geographic ordering of provinces rather than on the data’s marginal distribution alone.

The study also quantifies a plausible transmission mechanism. In sequential pathway models, stronger digital capability predicts higher patent activity, and patent activity in turn predicts better energy efficiency. The product-of-coefficients estimate implies that innovation accounts for an indicative 38 to 43 percent of the total digital-green association, a figure that remained stable when research and development intensity was substituted for patents. The authors are careful to note that their innovation measures are general rather than green-specific, so the evidence supports an innovation-consistent pathway rather than a proven green-innovation channel. Still, the magnitude suggests that digital infrastructure pays its largest environmental dividends when paired with functioning innovation ecosystems.

Nonlinearity adds a third layer to the story. Hansen panel threshold regression identifies a single breakpoint at a DTI value of 0.487, corresponding to the 60th percentile of the distribution. Below that threshold, the marginal association between digital capability and energy efficiency is modest; above it, the association more than doubles. The pattern is consistent with absorptive-capacity theory, which predicts that regions with sufficient complementary capabilities benefit disproportionately from knowledge flows. Comparisons with alternative threshold variables strengthen the interpretation: environmental regulation produces no significant threshold, and the digital-capability threshold remains evident after controlling for income per capita. The authors emphasize that the specific numerical cutoff is context-specific to Vietnam’s indicator scale, while the regime-testing framework itself is potentially transferable to other economies.

The researchers are notably candid about the limits of their design. This is an observational study, not an experiment, and every result is framed as a robust association rather than a causal effect. An instrumental-variable strategy exploiting distance to pre-2009 fiber-optic trunk lines produced a larger estimate, but the authors decline to treat it as causal because historical fiber proximity may correlate with roads, electricity infrastructure, and administrative capacity. Reverse causality, omitted variables, and the coarse provincial unit of analysis all remain live concerns, and the paper’s mediation results are explicitly labeled mechanism-consistent rather than identified. That methodological honesty is itself part of the contribution: the study demonstrates how far carefully bounded spatial associations can be pushed without overclaiming causal certainty.

The policy implications are correspondingly measured but pointed. Because roughly a third of the fitted association is indirect, the results support evaluating shared digital infrastructure, regional data platforms, and inter-provincial coordination mechanisms jointly rather than province by province. The threshold finding suggests that provinces near the capability boundary, roughly 12 to 13 of the 63 provinces in the 40th to 60th percentile band, may gain the most from complementary investment in innovation and governance capacity, while lower-capability provinces concentrated in the Northern Uplands and Central Highlands still need foundational connectivity first. The authors caution that their estimates refer to Vietnam’s pre-2025 63-province geography and cannot be mapped mechanically onto the country’s newly consolidated 34-unit administrative structure.

For a world searching for affordable levers to accelerate decarbonization, the Vietnamese evidence carries a provocative message: the green transition may depend not only on solar panels and wind farms but on the invisible infrastructure of data, platforms, and digital governance that determines how quickly clean knowledge spreads. If the findings hold up under firmer identification, the digital and green transitions may be less parallel tracks than a single intertwined pathway, and the regions that invest early in both could find themselves crossing capability thresholds that make every subsequent environmental gain easier to achieve.

Subject of Research: Spatial and threshold effects of digital transformation indicators on green transition outcomes across Vietnamese provinces

Article Title: Digital transformation indicators for green transition: Spatial spillovers, innovation pathways, and regime heterogeneity in Vietnam

Article References: Pham, T. T., Nguyen, T. D., Luu, H. D., Tran, A. Q., Trinh, K. C., Le, K. C., & Nguyen, M. H. (2026). Digital transformation indicators for green transition: Spatial spillovers, innovation pathways, and regime heterogeneity in Vietnam. Environmental and Sustainability Indicators, 32, Article 101557. https://doi.org/10.1016/j.indic.2026.101557

Image Credits: AI Generated

DOI: 10.1016/j.indic.2026.101557

Keywords: digital transformation, green transition, Vietnam, spatial spillovers, energy efficiency, green total factor productivity, innovation pathway, absorptive capacity, threshold regression, spatial econometrics, sustainability indicators, digital governance