PublicationArticle (with peer review)

An Anatomy of Failure – Wind Power Development in China

Abstract

China is currently the world’s largest installer of wind power. However, with twice the installed wind capacity compared to the United States in 2015, the Chinese produce less power. The question is: Why is this the case? This article shows that Chinese grid connectivity is low, Chinese firms have few international patents, and that export is low even though production capacity far exceeds domestic production needs. Using the tools of Austrian economics, China’s wind power development from 1980 to 2016 is documented and analyzed from three angles: (a) planning and knowledge problems, (b) unproductive entrepreneurship, and (c) bureaucracy and government policy. From a theoretical standpoint, both a planning problem and an entrepreneurial problem are evident where governmental policies create misallocation of resources and a hampering of technological development.

Grafström, J. (2021). An Anatomy of Failure – Wind Power Development in China. Quarterly Journal of Austrian Economics, 24(2), 317-347.

Details

Author: Grafström, J.
Publication year: 2021
Published in: Quarterly Journal of Austrian Economics

Related

Ph.D. and vice CEO
Jonas Grafström
+46703475854jonas.grafstrom@ratio.se

Similar content

Article (with peer review)

Barriers to circularity in the metals industry: an analytical framework of feedback and lock-in effects

Grafström, J., Poelzer, G., & Pettersson, J.

Publication year

2025

Published in

Mineral Economics.

Abstract

The metals sector faces multiple and interconnected barriers to achieving circularity. This study examines steel, aluminum, and copper to illustrate how challenges vary between metals. While copper can often be recycled without quality loss, steel and aluminum face alloy-related limitations that drive downcycling and quality degradation. Using a matrix-based analytical framework, the study maps the interactions between economic, technological, institutional, and social constraints, distinguishing between primary drivers, secondary effects, feedback loops, and lock-in mechanisms. The results show strong reinforcing links between economic, technological, and institutional domains, with social factors playing a more indirect role. These findings align with observed industry patterns while adding a structured, quantitative perspective. By clarifying how different barriers combine and reinforce one another, the analysis identifies priority areas for intervention to advance metals recycling and support the transition toward a more circular economy.

Working Paper No. 387 Time as a Structural Barrier for a Circular Economy

Jonas Grafström

Publication year

2025

Published in

Ratio Working Paper Series.

Abstract

Circular economy debates often acknowledge material lifespans and delays, but time is usually treated as a contextual issue rather than a structural barrier. The contribution is to reframe circular economy transitions as intertemporal processes by treating time as an endogenous structural barrier. A framework is developed that classifies goods into short-, medium-, and long-lived categories, demonstrating how lagged inflows and valuation biases suppress aggregate circularity even when technology improves. By making temporal mechanisms explicit, the analysis explains why indicators remain stagnant despite policy and efficiency gains. The contribution is to introduce time as an endogenous barrier, integrating insights from environmental and resource economics into circular economy theory and showing how delayed substitution shapes both firm investment and policy outcomes.

Working Paper No. 385 The workload paradox: Will AIreduce academic labor?

Jonas Grafström

Publication year

2025

Published in

Ratio Working Paper Series.

Abstract

Artificial intelligence is reshaping academia, but instead of liberating scholars, AI might keep them running faster just to stay in place. This paper theoretically explores how AI increases institutional expectations rather than reducing workload. Using a formal workload model, the study examines how automation affects academic tasks, revealing that while AI streamlines some processes, it also creates new responsibilities in research, publishing, and administration. A case study illustrates how scholars experience rising pressures to verify AI-generated work, adapt to changing publication norms, and meet intensifying institutional demands. The findings suggest that AI’s role in academia is not one only of simplification, but acceleration—a race where efficiency gains are quickly absorbed, where the pursuit of academic excellence becomes ever more demanding, and where scholars must continuously push forward, not to advance, but merely to avoid falling behind.