Aug 2026· Zenodo (CERN European Organization for Nuclear Research)
Economic and Technological Innovation
Abstract
Sustainable economic convergence in emerging markets now hinges on a structural break from the historical fossil‑fuel‑intensive development model. As the document states, “achieving sustainable economic convergence requires nothing less than a fundamental structural decoupling of economic growth from carbon intensity.” This monograph argues that clean technology diffusion—through FDI spillovers, global value chain integration, patent licensing, South‑South cooperation, and AI‑enabled grid modernization—has become the central engine of productivity growth and industrial upgrading across the Global South. Empirical evidence shows that clean capital inflows generate significant Total Factor Productivity (TFP) gains, with green FDI and capital‑goods imports producing elasticities of +0.32% to +0.38% per 10% increase, while domestic absorptive capacity yields the highest long‑run multiplier. The study identifies a persistent cost‑of‑capital divide—where emerging economies face WACCs 2–4× higher than advanced economies—as the largest barrier to clean diffusion, despite dramatic global cost declines in solar, wind, and battery storage. It also highlights systemic risks including transmission grid deficits, CBAM‑driven trade vulnerabilities, and critical mineral refining concentration. To overcome these constraints, the monograph proposes a three‑pillar policy architecture: (1) financial de‑risking via MDB guarantees and FX‑risk mitigation; (2) targeted green industrial policy to build domestic manufacturing and absorptive capacity; and (3) open technology transfer through patent pools, TRIPS flexibilities, and interconnected regional supergrids. Ultimately, the document outlines a phased roadmap (2026–2050) in which emerging economies can achieve full structural convergence—defined as high‑productivity, low‑carbon industrialization—by scaling clean energy, modernizing grids, deploying green hydrogen and advanced manufacturing, and establishing equitable global technology‑transfer systems.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
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Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
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The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
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