Kim Hin David Ho Volgorde van de boeken

Focusing on Singapore's unique real estate landscape, this book explores the economic implications of modernizing direct real estate and managing the national estate. It delves into the interplay between urban development, policy frameworks, and market dynamics, providing insights into how modernization can enhance property value and sustainability. The analysis includes case studies and practical examples, making it a valuable resource for policymakers, investors, and academics interested in real estate economics and urban planning in a rapidly evolving environment.

The narrative highlights personal achievements and professional growth, detailing the author's extensive work experience. It also showcases published articles and books, along with citations, reflecting the impact of the author's contributions in their field. This culmination of experiences emphasizes both personal and professional milestones.

The book delves into the intricate relationship between institutional and macroeconomic factors and large-scale high-tech industrial real estate development in Singapore. It employs capital budgeting techniques and copula risk functions to analyze the impact of economic variables on projects like Biopolis. The dynamics of the industrial real estate market are examined through an unrestricted vector autoregressive approach, highlighting the influence of both endogenous and exogenous factors. Additionally, it discusses the significance of knowledge-based urban development strategies for urban renewal and mixed-use zoning.

The work of Dr. HO Kim Hin, a professor, delves into the complexities of his field, exploring innovative theories and practical applications. His research emphasizes the importance of interdisciplinary approaches, contributing significantly to academic discussions. The book showcases his insights and experiences, offering readers a comprehensive understanding of contemporary issues and advancements in his area of expertise. Through detailed analysis and case studies, it serves as a valuable resource for students and professionals alike.

Focusing on the integration of artificial intelligence in project management, this book explores advanced techniques such as data analytics, neural networks, and genetic algorithms. It emphasizes the application of these technologies in knowledge-based urban development, utilizing agent-based modeling for effective data visualization. Aimed at professionals and scholars in fields like urban planning, architecture, and real estate, it offers innovative insights and practical tools for enhancing project outcomes in modern urban environments.

The book introduces a cutting-edge dynamic structural public housing macroeconomic model (DSPHM) that analyzes key macroeconomic variables within an open economy context. Chapter 1 utilizes this model to simulate two distinct scenarios: a baseline "no change" scenario and a second scenario focused on public housing "deregulation." Through these simulations, the book explores the implications of various economic conditions on the demand for new HDB flats.