Brown innovation escalation: Patent-induced CO2 emissions intensity across development stages

This study advances and empirically evaluates the Brown Innovation Escalation hypothesis, which holds that the emissions consequences of patent‑driven innovation vary systematically across stages of economic development. Clarifying whether innovation reduces CO₂ intensity or becomes increasingly carbon‑intensive as economies mature is essential for climate policy design. Using a balanced panel of nine countries (1995–2021) and threshold regression with Driscoll–Kraay standard errors, we identify a structural break at USD 4837 GDP per capita. Below this threshold, a 1% increase in patent applications raises emissions intensity by 0.192%; above it, the effect strengthens to 0.223%, a 16.2% escalation. Advanced economies (Japan, South Korea, Israel) exhibit substantially higher carbon footprints per patent than early‑stage economies (Bangladesh, India), with transitional economies (China, Malaysia, Thailand, Turkey) in between. Robustness checks including first‑difference models, lagged specifications, and marginal‑effects estimation corroborate these patterns. The results challenge conventional Environmental Kuznets Curve expectations by showing that innovation does not automatically decouple growth from emissions; instead, it may become increasingly emissions‑intensive without targeted policy intervention. These findings highlight the need for development‑stage‑specific innovation strategies to ensure that technological progress supports sustainability rather than amplifying carbon intensity.