
Garys Economics
They're teaching economics wrong – full interview with Ha-Joon Chang
Apr 6, 2025
Ha-Joon Chang, a bestselling author and professor at SOAS, shares his insights on the flaws of capitalism and economic education. He reflects on his experiences growing up in South Korea and critiques the gap between economic growth and inequality. Chang advocates for a broader curriculum in economics that includes diverse perspectives and real-world issues. He discusses the influence of wealth on power dynamics and emphasizes the need for equitable taxation. Ultimately, he balances realism with hope, envisioning a collective approach to tackle economic challenges.
49:52
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- The conversation critiques traditional economics education for overly relying on mathematical models, neglecting real-world issues like inequality and housing crises.
- The guest emphasizes the importance of inclusive economic discourse, highlighting how technical language can marginalize voices advocating for equity and sustainability.
Deep dives
Educational Approaches in Economics
The discussion highlights the shortcomings of traditional economics education, particularly its reliance on heavily mathematical models that often overlook real-world issues. The guest recalls his experience in South Korea, where he was exposed to abstract economic theories, while significant economic changes were happening outside the classroom. This disconnect between theoretical mathematics and practical economic reality is critiqued, as students often leave university without insights into vital topics like inequality and housing crises. The need for a more pluralistic approach to economics education that includes diverse theoretical perspectives is emphasized, advocating for teaching methods that engage with real-world economics.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.