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This research discovers the spatial regularities of house prices across Chinese prefecture cities in an economic common area and investigates the underlying formation process. It reveals an uneven distribution of house prices across cities, with those large and/or higher-tier cities and their neighbours having significantly higher house prices. Such an uneven pa����ern of house prices demonstrates the agglomeration spillovers in the interurban housing market. Two forms of spillovers are empirically examined. The first is the urban hierarchy distance effect, which is related to the position of a city in a hierarchical urban system. In general, the distance penalty of higher-tier urban centres is confirmed, that is, all else being equal, the further away a city is from the higher-tier city, the lower the house price. The second form of spillovers relates to a city's position in a city network system, in which no hierarchical structure is imposed. In such a situation, the spillovers arise from the interaction with neighbouring cities and it is found that a city that has larger neighbours tends to have higher house prices. These two forms of spillovers are somewhat correlated with each other because a higher-tier city is always associated with a larger urban size.
The purpose of this paper is to apply recent advances in the econometrics of panel data to a problem that has a clear spatial dimension. We model the dynamic adjustment of real house prices using data at the level of US States. In the last decade, in most OECD countries there has been a significant rise in real house prices. This attracted the attention of many international organisations and central banks. In this paper we consider interactions between housing markets by examining the extent to which real house prices at the State level are driven by fundamentals such as real income, as well as by common shocks, and determine the speed of adjustment of house prices to macroeconomic and local disturbances. We take explicit account of both cross sectional dependence and heterogeneity. This allows us to find a cointegrating relationship between house prices and incomes and to identify a small role for real interest rates. Using this model we then examine the role of spatial factors, in particular the effect of contiguous states by use of a weighting matrix. We are able to identify a significant spatial effect, even after controlling for State specific real incomes, and allowing for a number of unobserved common factors.
This booklet discusses some major methodological issues relating to the construction of house price models on a macro level. There is no single method that always produces the optimal results; the choice of a particular approach, method, theory, model and technique is context-dependent. This is especially true in housing markets, where a multitude of different submarkets exist. The methodology chosen should be based on sound theory, from which the basic concepts of analysis can be derived. This booklet discusses the use of potential models, which can be constructed using a general field theory, and which act as a theoretical foundation for further analysis. If we use potential models for house price analysis we can discover additional features from the data set that other approaches would simply miss. This e-book presents a pragmatic overview of key methodological concerns with the emphasis on the use of potential models. Theoretical methodological questions are left unanswered, and are not even presented in this text, since they have little relevancy to real-world modelling questions.
This booklet is a final complement to the series of investigations (”A Field Theory of House Prices”, ISBN 978-952-6613-36-9 and ”Nonstandard House Price Theory”, ISBN 978-952-6613-66-6) on the fundamental nature of house prices, which is, strictly speaking, a mathematical question. As in the earlier e-books on the scientific essence of house prices by the author, this booklet analyses house prices using the concept of a vector field. The fundamental idea underlying this e-book is that housing demand, housing supply and house prices can be investigated not as scalar functions but as genuine vector fields.
Relationships between past events, future expectations and present decisions, typically examined through a temporal prism within applied economics, have been lately moving to the spatial dimension through spatial econometrics. However, violations of the “arrow of time”, and thus causality, have been identified in spatial econometric techniques applied to spatio-temporal data consisting of observations each at a specific location and distinct moment in time. A comprehensive review classifies for the first time several redresses to this issue in a currently fragmented literature. This paper puts back the temporal dimension into spatial Hedonic Pricing models through a unique specification of a spatio-temporal model that successfully isolates three effects: First, past sale prices affecting current prices, which exemplifies the “sales comparison” approach. Second, a contemporaneous peer effect that is occurring within the narrow time frame of interaction between market participants prior to a sale. Third, the signals of sellers' expectations are captured in the asking prices of other houses not yet sold, while the buyer is active in the market. This affects the final sale price, due to strategic behaviour and anchoring. This is the first instance that effects other than the own asking price can be handled in such models. In “boom” market conditions, this mechanism introduces the expectation of increasing prices to the hedonic price function, potentially contributing to housing market "bubble” propagation.
Spatial Dimensions of Public Policy deals with the spatial dimensions of public policy with particular reference to resource management, urban development, regional development, and poverty alleviation. Emphasis is on the geographer's actual and potential contributions to public policy. Comprised of 15 chapters, this book begins with an introduction to the nature of geographers' contributions to public policy and the reasons why they have not been as effective as the relationships between their interests and important issues of public policy might suggest. The next chapter describes how policy decisions are made in Canada and reviews the nature of disciplinary contributions to governmental decision-making at the highest level. Subsequent chapters focus on regional policy and broad issues of world strategy; specific contributions to public policy, particularly in the United Kingdom; spatial aspects of pollution policy; and policies outside the United Kingdom. Energy policy in Western Europe is discussed, together with a geographer's contribution to addressing environmental problems in New Zealand; the difficulties of achieving an accurate population census of Nigeria; and the reshaping of the legislative and congressional districts of the State of Washington. This monograph will be of interest to geographers and public policymakers.
This book presents the essential ideas of the field theory of house prices. This theory combines some fundamental concepts of classical physics and standard economics, providing a new, alternative way of thinking about house prices. In the field theory of house prices a new concept of analysis is defined: house prices by distance from the CBD (Central Business District). In traditional neoclassical economics, house prices are analysed directly without including the location element of a house. The field theory, however, takes location explicitly into account by analysing house prices divided by the distance from the CBD. The main ideas of the field theory are also applicable to the land markets and facilities markets, where location plays a significant role in the analysis of property prices. The author is a Doctor of Science (Technology), whose research interest focuses on applied mathematics and economics.
This is an e-book about a dynamic field theory of house prices, which simplifies the ideas in the author’s previous work, A Field Theory of House Prices (ISBN 978-952-6613-36-9). The text provides new, highly workable ideas based on the major ideas of classical physics combined with the major ideas of classical economics. This synthesis is known as a dynamic field theory of house prices. This is a novel theory that provides a unified, general framework for decision-making that can be applied to any macro-level question about house prices. In order to understand the ideas of this e-book, it is assumed that the reader has a basic understanding of mathematics, which is the language of exact science. The workability of the ideas presented in this e-book are demonstrated using some real, large data sets. These empirical results are documented in the presented material. The local disposable income and the interest variable typically applied in Finland are the ”pushing forces” that generate the demand field. The supply side is the ”attracting force” that does not influence the house prices in the samples investigated, but is still a force that exists. What is a house price? What are the demand field and supply field of housing? This book explains these issues.
This book gathers the proceedings of the fifteenth International Conference on Management Science and Engineering Management (ICMSEM 2021) held on August 1-4, 2021, at the University of Castilla-La Mancha (UCLM), Toledo, Spain. The proceedings contains theoretical and practical research of decision support systems, complex systems, empirical studies, sustainable development, project management, and operation optimization, showing advanced management concepts and demonstrates substantial interdisciplinary developments in MSEM methods and practical applications. It allows researchers and practitioners in management science and engineering management (MSEM) to share their latest insights and contribution. Meanwhile, it appeals to readers interested in these areas, especially those looking for new ideas and research directions.