Old Industrial Cities Seeking New Road of Industrialization

Models of Revitalizing Northeast China

Business & Finance, Economics, Urban & Regional, Economic Development
Cover of the book Old Industrial Cities Seeking New Road of Industrialization by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma, World Scientific Publishing Company
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma ISBN: 9789814405805
Publisher: World Scientific Publishing Company Publication: November 22, 2013
Imprint: WSPC Language: English
Author: Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
ISBN: 9789814405805
Publisher: World Scientific Publishing Company
Publication: November 22, 2013
Imprint: WSPC
Language: English

This book aims to investigate how cities in China's rust belt restructure their urban industries and economies. Over the years, China's “economic miracle” has been mainly attributed to rapid development in its coastal region, where the majority of research into the country's development has originated from. Development in the rest of China seems to be attracting relatively scant research attention, especially in China's rust belt. In fact, the urban industrial restructuring process is an ongoing process in inland China, notably in the recent decade in terms of the scope, scale and speed of restructuring.

The old industrial cities in northeast China (Manchuria) were the cradle of China's industrialization and had significantly contributed to the industrialization of the nation during the Mao era. Deng's open door policy and economic reform disadvantaged the region and left it behind others. In the context of market economy and competition from rapidly growing coastal areas, northeast China became the burden to China's overall economic development. With a high concentration of state-owned heavy industries, cities in this region suffered from heavy losses in revenue and massive layoffs of millions of former state-owned enterprise workers, known as the “Northeast Phenomenon” or “Neo-Northeast Phenomenon”. The once towering economic giant was down. Such a “phenomenon” is not uncommon in other “rust belt” regions in industrialized economies.

However, since the implementation of the Chinese Government's “Revitalisation Strategy of Northeast China” in 2003, cities in northeast China have gone through various transformations. Their recent economic performance has made many Chinese economists predict that northeast China will become China's new growth engine and catch up with the economic performance of other prosperous regional economies such as the Pearl River Delta, Lower Yangtze River Delta and Beijing-Tianjin region.

This book investigates how cities in northeast China are shaking off their economic disadvantages and implementing various forms of restructuring in their industries. The authors identify six different reindustrialization models, namely Shenyang Tiexi Model — repacking old industries; Dalian Model — beyond the China's coast development model; Daqing Model — extension of industrial chain; Fuxin Model — modern agro-processing saved the coal mining city from “ghost town”; Jilin city — low carbon-oriented model; and Central Liaoning Urban Cluster Model — negotiated/agreed industrial division. All these models will be explained through analysis of their approaches, key actors, and mechanisms.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book aims to investigate how cities in China's rust belt restructure their urban industries and economies. Over the years, China's “economic miracle” has been mainly attributed to rapid development in its coastal region, where the majority of research into the country's development has originated from. Development in the rest of China seems to be attracting relatively scant research attention, especially in China's rust belt. In fact, the urban industrial restructuring process is an ongoing process in inland China, notably in the recent decade in terms of the scope, scale and speed of restructuring.

The old industrial cities in northeast China (Manchuria) were the cradle of China's industrialization and had significantly contributed to the industrialization of the nation during the Mao era. Deng's open door policy and economic reform disadvantaged the region and left it behind others. In the context of market economy and competition from rapidly growing coastal areas, northeast China became the burden to China's overall economic development. With a high concentration of state-owned heavy industries, cities in this region suffered from heavy losses in revenue and massive layoffs of millions of former state-owned enterprise workers, known as the “Northeast Phenomenon” or “Neo-Northeast Phenomenon”. The once towering economic giant was down. Such a “phenomenon” is not uncommon in other “rust belt” regions in industrialized economies.

However, since the implementation of the Chinese Government's “Revitalisation Strategy of Northeast China” in 2003, cities in northeast China have gone through various transformations. Their recent economic performance has made many Chinese economists predict that northeast China will become China's new growth engine and catch up with the economic performance of other prosperous regional economies such as the Pearl River Delta, Lower Yangtze River Delta and Beijing-Tianjin region.

This book investigates how cities in northeast China are shaking off their economic disadvantages and implementing various forms of restructuring in their industries. The authors identify six different reindustrialization models, namely Shenyang Tiexi Model — repacking old industries; Dalian Model — beyond the China's coast development model; Daqing Model — extension of industrial chain; Fuxin Model — modern agro-processing saved the coal mining city from “ghost town”; Jilin city — low carbon-oriented model; and Central Liaoning Urban Cluster Model — negotiated/agreed industrial division. All these models will be explained through analysis of their approaches, key actors, and mechanisms.

More books from World Scientific Publishing Company

Cover of the book Inequality in Singapore by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book Financial Reforms and Developments in China by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book Experiencing the Unconventional by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book Managing Customer Relationships and Building Loyalty by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book Symmetry, Spin Dynamics and the Properties of Nanostructures by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book The Imperial College Lectures in Petroleum Engineering by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book Concurrency Control and Recovery in OLTP Systems by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book Knots and Physics by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book Global Credit Review by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book Diagnostics for a Globalized World by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book Terrorist Rehabilitation by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book The Pull of History by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book Typhoon Turning Atlas by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book Wave Momentum and Quasi-Particles in Physical Acoustics by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
Cover of the book Space-Time Symmetry and Quantum YangMills Gravity by Mark Wang, Zhiming Cheng, Pingyu Zhang;Lianjun Tong;Yanji Ma
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy