
The Split: Finding the Opportunities in China's Economy in the New World Order
by Shaun Rein
4.5 stars from 112 reviews
Last checked: Jun 8, 2026
Good deal — this title is discounted today.
Price range: $1.99 – $11.99
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Fans of these authors will like this...
- Michael Pillsbury
- Paul Haenle
- Steven Brill
Fans of these books will like this...
- The Hundred-Year Marathon
- The Map of Time and Money
- Superpower: Three Choices for America's Role in the World
Perfect for you if...
- You're a business leader or investor trying to navigate China without getting caught in trade war crossfire.
- You want hard-nosed advice on where to expand, not cheerleading or doom-mongering about the Chinese market.
- You work in finance, consumer goods, or manufacturing and need a realistic assessment of long-term growth potential in Asia.
Maybe not for you if...
- You're looking for a political argument about whether China or the US is 'winning' the great power competition.
- You need a step-by-step guide to launching a startup; this is strategy for established companies thinking regionally.
- You prefer black-and-white thinking; Rein's thesis is that nuance matters more than ever.
About this book
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Price History
Kindle price over time. Green zones = periods when the book was free.
Currently on sale at $1.99 — 83% off peak. Price has dropped 2 times over the last 21 months. Goes on sale roughly every 404 days.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently around #830K in the Kindle store — a niche title. Climbing the charts — 56% improvement recently.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 4.5★ from 112 reviews
Gaining approximately 5 new reviews per month. Rating has remained stable at 4.5 over the tracking period.
Sale Prediction
Actual Predicted
This book is currently discounted at $1.99. It typically returns to around $11.99.
Prices shown in USD from Amazon US. We continuously pull new data to improve tracking. If dates look old, it usually means there has been no significant change since the last data point.
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