Skip to content
#diffusion models Open access

Second-Hand Technology Flows and the Unmanaged Diffusion Frontier

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

The global clean‑energy transition in low‑ and lower‑middle‑income economies is unfolding not through factory‑new photovoltaic arrays, electric vehicles, or utility‑scale batteries, but through an expansive, largely unregulated influx of second‑hand, refurbished, and near‑end‑of‑life hardware. As documented in the monograph, “the de facto energy transition operates along an unmanaged diffusion frontier powered by second-hand, refurbished, and cascaded hardware” . Annual inflows of used vehicles, decommissioned solar modules, cascaded lithium‑ion packs, and discarded ICT equipment exceed $115 billion—over four times the value of subsidized new clean‑tech deployments—forming the backbone of mobility, electrification, and digital access for more than one billion citizens. These secondary capital goods deliver extraordinary affordability gains: refurbished PV modules arrive at 55–70 percent discounts, second‑life batteries at 50–65 percent discounts, and imported used vehicles at 65–80 percent below new MSRP. Such arbitrage compresses off‑grid LCOE to $0.15–$0.17/kWh and expands mobility access across Africa and South Asia. Yet the same flows externalize severe lifecycle liabilities. Unverified imports routinely include emissions‑stripped clunkers emitting up to 30× certified NOx and PM2.5 levels, degraded PV modules prone to thermal hotspots, and lithium packs at high risk of knee‑point failure. Informal recycling clusters—Agbogbloshie, Alaba, Dandora—absorb these end‑of‑life burdens, generating extreme toxic exposures: soil lead concentrations up to 48,000 mg/kg and pediatric blood‑lead levels of 20–30 µg/dL . The resulting cognitive and health drag erodes 1.8–2.15 percent of GDP annually across affected regions. The monograph demonstrates that unmanaged dumping is not a transitional friction but a structural feature of global macroeconomic divergence. However, it also shows that managed circular diffusion—port‑of‑entry diagnostic corridors, transboundary Extended Producer Responsibility (T‑EPR), formal–informal hybrid recycling hubs, and harmonized tariff architecture—yields transformative macroeconomic returns. Integrated cost‑benefit modeling reveals societal Benefit‑Cost Ratios as high as 12.6×, with managed circularity preserving over $223.5 billion in net macroeconomic surplus over a decade. This work proposes the Global Managed Diffusion Compact (2026–2035): a three‑horizon governance roadmap to convert second‑hand technology flows from a toxic dumping pipeline into a certified, high‑value circular industrial engine. By aligning diagnostic standards, trade architecture, producer responsibility, and grassroots repair ecosystems, the Compact offers a scalable pathway to universal, affordable, and non‑toxic clean‑energy access—transforming the unmanaged diffusion frontier into a cornerstone of global climate justice.

View source

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

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.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

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 an...

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9

Related blog posts

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.