Xie / Lu Suzhou Industrial Park

Sustainability, Innovation, and Entrepreneurship
1. Auflage 2022
ISBN: 978-981-1667-57-2
Verlag: Springer Singapore
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)

E-Book, Englisch, 90 Seiten, eBook

Reihe: Social Policy and Development Studies in East Asia

This book examines how innovation and sustainability strategies implemented in Suzhou Industrial Park drive and influence the regional long-term economic growth. In the process of implementing export-led growth, industrial parks located in various regions in China have become very vital players, among which Suzhou Industrial Park (SIP) has now developed as a leading and model industrial park in China, since its inauguration in 1994 as a result of the governmental collaboration between China and Singapore.   The history of the SIP is the history of China's new economy; as China has moved up the supply chain, Suzhou Industrial Park has now become an industrial park focusing more on high-tech innovation/entrepreneurship and environmental sustainability with an ecological perspective. This book will provide a fascinating window into China's reform and opening for China scholars, economists, and urban geographers.

Zielgruppe

Research

Autoren/Hrsg.

Xie, Li

Lu, Xiangyun

Inhaltsverzeichnis

Chapter 1. Introduction.- Chapter 2. Export-Led Growth Strategy and Government Quality.- Chapter 3. Circular Economy and Eco-Industrial Park.- Chapter 4. Entrepreneurial ecosystems.- Chapter 5. Conclusions.

Über Autor(innen)

Dr. Li XIE
 is an assistant professor in Finance in International Business School Suzhou (IBSS) at Xi'an Jiaotong-Liverpool University in China. His primary research interests lie in the field of Innovation and Entrepreneurship, CSR and ESG, Corporate Governance, and Government and Economics.
Dr. Xiangyun LU
 is an assistant professor in Accounting in International Business School Suzhou (IBSS) at Xi'an Jiaotong-Liverpool University in China. Her primary research interests lie in the field of applying new AI algorithm/methods (e.g., deep learning and NLP) into the Accounting and Finance area (e.g., SMEs’ Credit Risk Detection, ESG-driven Quantitative Investment, and Financial Fraud/Misconduct Detection).