Xu / Liu Understanding China's Overcapacity

1. Auflage 2018
ISBN: 978-981-13-0881-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 266 Seiten

Reihe: Economics and Finance

This book analyzes of the surplus of production capacity in China. According to a government statement, there is a serious surplus of productive capacity in the steel, cement, glass, aluminum, and shipbuilding industries. There was no surplus of productive capacity in above industries between 2002 and 2012, and the current surplus is due to poor government policies on real estate prices after 2012. The book argues that if the Chinese government invested more in social welfare housing over the next few years the surplus of productive capacity would very soon disappear.

Zielgruppe

Research

Autoren/Hrsg.

Xu, Dianqing

Liu, Ying

Inhaltsverzeichnis

Chapter 1  New definition of overcapacity.- Chapter 2 Overcapacity of steel products.- Chapter 3 Overcapacity of cement.- Chapter 4 Overcapacity of glass products.- Chapter 5 Overcapacity of alumni.- Chapter 6 Overcapacity of shipbuilding industry.- Chapter 7 Overcapacity and Role of the government.

Über Autor(innen)

Xu Dianqing, PhD in economics of University of Pittsburgh, is a tenured professor of economics at the University of Western Ontario in Canada and a guest professor of the China Economic Research Center of Peking University and the Institute of national accounting of Beijing Normal University. He once served as the president of the Chinese society of American economics, and is known as "the father of China's private banks". He was awarded the Sun-Yefang- Prize in 2003, and the Zhang-Peigang-Prize for Economics Development in 2012. He have published more than 20 books, including "From Trade Surplus to the Dispute over the Exchange Rate", "the Road to the End of Poverty", etc.
Liu Ying, an associate professor of statistics at DUFE in China, has published  a book  "On Institutional Vicissitudes and Development of Bop Statistics" and several articles in statistical research.