Professor Cheng Hong’s latest Masterpiece Published-质量院英文网
Position: Home > Research Progress > Content

Professor Cheng Hong’s latest Masterpiece Published

October 14, 2016

Recently, a masterpiece, What Should be Done with China’s Quality, written by Professor Cheng Hong has been published by People’s Publishing House, and now it is available to the public.


In 2013, Professor Cheng Hong wrote his first volume of economic essays, What’s wrong with China’s Quality, to uncover the facts of China’s quality by digging out the truth behind a series of quality issues in China. This book starts with quality phenomena and objectively reveals what is essential to the fundamental governance of enterprises and quality, government and quality as well as consumers and quality. It is advocated that everyone should contribute their own efforts to China’s quality.


Three years later, in response to the question “what’s wrong with China’s quality”, What Should be Done with China’s Quality came into being in pursuit of key factors and strategic paths to China’s economic development. As a companion works of What’s Wrong with China’s Quality, this book has presented clear and insightful answers to entrepreneurs, government and research institutions from the aspects of supply-side reform, quality innovation, entrepreneurship and institutional reform. It tells us what should be done with China’s quality in simple terms.


Why is quality the key to supply-side? Why should quality be determined by entrepreneurs? Why is quality innovation the most fundamental development strategy? Why is reform the solution to China’s quality? Faced with these questions, the author has analyzed the essence of China’s quality from the perspectives of enterprises, government and consumers, put forward solutions to China’s quality development from the aspects such as innovation, demand and supply, strategies and reform, and fully explained the new driving force to China’s quality development, “quality”, with a large quantity of empirical cases and survey data.