Territorial Infrastructures, Real Estate and Socio-Economic Impacts

A special issue of Land (ISSN 2073-445X).

Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 16500

Special Issue Editors


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Guest Editor
Department of Architecture and Design, Politecnico di Torino, 10125 Turin, Italy
Interests: real estate appraisal; project economic evaluation and enhancement; cultural heritage; problem structuring methods; spatial analyses; inner areas
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Responsible Risk Resilience Centre R3C, Interuniversity Departmentof Regional and Urban Studies and Planning, Politecnico di Torino, Viale Pier Andrea Mattioli, 3910125 Torino, Italy
Interests: public–private partnerships; economic and financial sustainability; investment analysis; maintenance; green public procurement; inner areas
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Turin Real Estate Market Observatory, Department of Architecture and Design, Politecnico di Torino, Viale Pier Andrea Mattioli, 39 10125 Torino, Italy
Interests: real estate appraisal; projects economic evaluation and enhancement; architectural and landscape heritage; econometrics; spatial statistics; GIS; KMS; inner areas
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Infrastructures support and sustain economic and social activities by connecting spatially dispersed areas and facilitating the movement of key economic inputs. All types of infrastructures, such as physical infrastructures (e.g., roads, railways, ports, and bridges), social infrastructures (e.g., educational institutions and facilities supporting health and well-being), and digital infrastructures, play significant roles in creating economic opportunities and can arguably promote economic prosperity. Moreover, infrastructure investments have been commonly used as policy tools to spur economic growth at both national and sub-national scales and boost national, regional, and local economies.

A key channel through which economic growth can be realized is the real estate sector. As regions become connected, new socio-economic opportunities are created. New building investments and improvements to existing buildings are required to host and support new and expanded socio-economic activities. Such dynamics are especially quite intense both in cities and in inner territories. On the one hand, with massive rural–urban migration across many parts of the world, cities, as the centers of socio-economic activities, are facing a huge demand for all types of infrastructures as well as commercial and residential buildings. On the other hand, inner territories have to face depopulation and the decrease in basic services: in this case, the infrastructures can play a significant role in developing a supra-municipal network and attracting new inhabitants and tourist flows. However, there are massive challenges to meet these different demands—from financing to appropriate institutional frameworks, and from political dynamics to the consideration of various temporal and cross-sectional impacts. Moreover, climate change concerns put question marks on the suitability of traditional approaches to infrastructures in delivering desirable benefits within net-zero targets and principles. While these issues are well-recognized, the answers and solutions are far from being clear and definitive.

In this Special Issue, we aim to publish scholarly works from around the world that will contribute new knowledge across three broad areas: (a) short- and long-term socio-economic impacts; (b) property market dynamics; (c) new areas of concerns, opportunities, and solutions (e.g., climate change and digitalization).

Suggested article type:

In this Special Issue, we seek to explore various research issues within the above context. We will accept original contributions of 8,000–10,000 words following the journal guidelines.

The focus can be on: (a) any geography and territorial scale; (b) theoretical contributions; (c) empirical evidence (using quantitative, qualitative, or mixed methods) based on sound theoretical underpinnings.

An indicative list of anticipated themes is as follows:

  • Territorial infrastructure endowment and the extent of socio-economic benefits;
  • Speculative demand for real estate due to changes in urban and territorial infrastructures;
  • Changes in urban form and the emergence of new urban areas through infrastructure investment;
  • Uplifting of land value due to infrastructure interventions;
  • Land value capture tools and their effectiveness;
  • Institutional frameworks to support territorial investments;
  • Dynamics of urban–rural linkages and infrastructure investments for territorial enhancement;
  • Inequalities at various spatial scales triggered and addressed through territorial interventions;
  • Demographic issues driven by infrastructures, e.g., urban–rural migration, gentrification, and repopulation;
  • Green infrastructure to mitigate climate change concerns and promote sustainable urban living;
  • Digital infrastructure to support new ways of working and living;
  • Use of new infrastructure technologies to address socio-economic imbalances.

Dr. Diana Rolando
Dr. Manuela Rebaudengo
Dr. Alice Barreca
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • territorial infrastructure
  • real estate
  • socio-economic impacts
  • short-term benefits
  • long-term implications
  • spatial analysis
  • inner areas
  • economic enhancement

Published Papers (10 papers)

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Research

26 pages, 1803 KiB  
Article
The Effects of the Low-Carbon Pilot City Program on Green Innovation: Evidence from China
by Jinchao Huang, Shuang Meng and Jiajie Yu
Land 2023, 12(8), 1639; https://doi.org/10.3390/land12081639 - 21 Aug 2023
Cited by 1 | Viewed by 1295
Abstract
This study examines the effectiveness of the low-carbon pilot city program in promoting green innovation outcomes in China. Using a time-varying difference-in-differences model based on 277 cities from 2003 to 2019, this study finds that the implementation of the low-carbon pilot city program [...] Read more.
This study examines the effectiveness of the low-carbon pilot city program in promoting green innovation outcomes in China. Using a time-varying difference-in-differences model based on 277 cities from 2003 to 2019, this study finds that the implementation of the low-carbon pilot city program has a positive and significant impact on city-level green innovation outcomes. The policy effect is heterogeneous across different urban infrastructure characteristics, including geographic location, city scale, factor endowment, carbon emission intensity, and ICT infrastructure. This study provides important insights into the effectiveness of low-carbon policies in promoting green innovation and has important implications for policymakers and practitioners who are interested in promoting sustainable development in emerging economies. Full article
(This article belongs to the Special Issue Territorial Infrastructures, Real Estate and Socio-Economic Impacts)
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16 pages, 276 KiB  
Article
Local Government’s Land Finance Dependence and Migrants’ Settlement Intentions: Evidence from China
by Yuzheng Zhang and Shirui He
Land 2023, 12(7), 1359; https://doi.org/10.3390/land12071359 - 7 Jul 2023
Viewed by 959
Abstract
In the context of China’s new urbanization construction, it is crucial to deal with the issue of migrants. While land finance, as an essential means of local government financing in China over the past three decades, has made important contributions to China’s economic [...] Read more.
In the context of China’s new urbanization construction, it is crucial to deal with the issue of migrants. While land finance, as an essential means of local government financing in China over the past three decades, has made important contributions to China’s economic growth, the impact of land finance on the settlement intentions of migrants still needs to be studied. This study considered cross-sectional data containing 78,642 samples based on the 2017 China Migrants Dynamic Survey 2017 (CMDS) and China Land and Resources Statistical Yearbook. In addition, a binary choice model was constructed, and the impact of the degree of land finance on the settlement intentions of migrants for the prefecture-level cities in China was empirically analyzed. With the help of the mediating- and moderating-effect models, the impact of the degree of land finance on the settlement intentions of migrants was examined from the perspectives of housing pressure, social security, and housing property rights. The results show the following: (1) The higher the degree of land finance, the lower the settlement intentions of migrants. (2) Land finance’s effect on settlement intentions is stronger for urban domiciles, low-skilled laborers, in large cities, and eastern and southern cities in these samples. (3) The higher the degree of land finance, the greater the housing pressure on the migrants, further reducing the settlement intentions of these individuals. However, social security and homeownership can reduce the negative effect of land finance on the settlement intentions of migrants. This paper provides policy implications for the construction of new urbanization and the realization of modernization. Full article
(This article belongs to the Special Issue Territorial Infrastructures, Real Estate and Socio-Economic Impacts)
24 pages, 6083 KiB  
Article
Exploring the Spatial Discrete Heterogeneity of Housing Prices in Beijing, China, Based on Regionally Geographically Weighted Regression Affected by Education
by Zengzheng Wang, Fuhao Zhang and Yangyang Zhao
Land 2023, 12(1), 167; https://doi.org/10.3390/land12010167 - 4 Jan 2023
Cited by 1 | Viewed by 1655
Abstract
Spatial heterogeneity analysis of housing prices, in general, is crucial for maintaining high-quality economic development in China, especially in the post-COVID-19 pandemic context. Previous studies have attempted to explain the associated geographical evolution by studying the spatial non-stationary continuous heterogeneity; however, they ignored [...] Read more.
Spatial heterogeneity analysis of housing prices, in general, is crucial for maintaining high-quality economic development in China, especially in the post-COVID-19 pandemic context. Previous studies have attempted to explain the associated geographical evolution by studying the spatial non-stationary continuous heterogeneity; however, they ignored the spatial discrete heterogeneity caused by natural or policy factors, such as education, economy, and population. Therefore, in this study, we take Beijing as an example and consider educational factors in order to propose an improved local regression algorithm called the regionally geographically weighted regression affected by education (E-RGWR), which can effectively address spatial non-stationary discrete heterogeneity caused by education factors. Our empirical study indicates that the R2 and R2adj values of E-RGWR are 0.8644 and 0.8642, which are 10.98% and 11.01% higher than those of GWR, and 3.26% and 3.27% higher than those of RGWR, respectively. In addition, through an analysis of related variables, the quantitative impacts of greening rate, distance to market, distance to hospitals. and construction time on housing prices in Beijing are found to present significant spatial discrete heterogeneity, and a positive relationship between school districts and housing prices was also observed. The obtained evaluation results indicate that E-RGWR can explain the spatial instability of housing prices in Beijing and the spatial discrete heterogeneity caused by education factors. Finally, based on the estimation results of the E-RGWR model, regarding housing prices in Beijing, we analyze the relationships between enrollment policy, real estate sales policy, and housing prices, E-RGWR can provide policy makers with more refined evidence to understand the nature of the centralized change relationship of Beijing’s housing price data in a well-defined manner. The government should not only carry out macro-control, but also implement precise policies for different regions, refine social governance, promote education equity, and boost the economy. Full article
(This article belongs to the Special Issue Territorial Infrastructures, Real Estate and Socio-Economic Impacts)
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20 pages, 9264 KiB  
Article
Assessing the Impact of Selected Attributes on Dwelling Prices Using Ordinary Least Squares Regression and Geographically Weighted Regression: A Case Study in Poznań, Poland
by Cyprian Chwiałkowski, Adam Zydroń and Dariusz Kayzer
Land 2023, 12(1), 125; https://doi.org/10.3390/land12010125 - 30 Dec 2022
Cited by 1 | Viewed by 1513
Abstract
The price of dwellings is determined by a number of attributes among which location factors are usually the most important. Comprehensive analyses of the real estate market should take into account a broad spectrum of attributes including economic factors, physical, neighborhood and environment [...] Read more.
The price of dwellings is determined by a number of attributes among which location factors are usually the most important. Comprehensive analyses of the real estate market should take into account a broad spectrum of attributes including economic factors, physical, neighborhood and environment characteristics. The primary objective of the study was to answer the question of what determinants affect transaction prices within the housing market in Poznań. The analysis was performed on the basis of source data obtained from the Board of Geodesy and Urban Cadastre GEOPOZ in Poznań. In our study, we used two research regression methods: ordinary least squares and geographically weighted regression. The estimated models made it possible to formulate specific conclusions related to the identification of local determinants of housing prices in the Poznań housing market. The results of the study confirmed that the use of the proposed techniques makes it possible to identify attributes relevant to the local market, and, moreover, the use of spatial analysis leads to an increase in the quality of the description of the characteristics of the analyzed phenomenon. Finally, the results obtained indicate the diversity of the analyzed market and highlight its ambiguity and complexity. Full article
(This article belongs to the Special Issue Territorial Infrastructures, Real Estate and Socio-Economic Impacts)
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19 pages, 4513 KiB  
Article
Spatial Accessibility of Multiple Facilities for Affordable Housing Neighborhoods in Harbin, China
by Linlin Zhang, Xiaobin Zhang, Huiling Huang, Liang Zhang and Huan Li
Land 2022, 11(11), 1940; https://doi.org/10.3390/land11111940 - 31 Oct 2022
Cited by 2 | Viewed by 2041
Abstract
The spatial mismatch between affordable housing neighborhoods and public services/facilities significantly reduces the well-being of low-income dwellers, which has risen to a typical issue of spatial injustice. Previous studies on accessibility evaluation most focus on a single type of service, lacking empirical studies [...] Read more.
The spatial mismatch between affordable housing neighborhoods and public services/facilities significantly reduces the well-being of low-income dwellers, which has risen to a typical issue of spatial injustice. Previous studies on accessibility evaluation most focus on a single type of service, lacking empirical studies exploring the integrated spatial accessibility of multiple services for low-income residents. Taking Harbin City in northeast China as an example, this study assessed the spatial accessibility of transit, education, healthcare, shopping, and recreation facilities for affordable housing neighborhoods, using the Gaussian-based 2SFCA method. The pattern of accessibility for each type of facility in Harbin showed obvious spatial differentiation between the urban core and the city periphery, for both affordable housing neighborhoods and other neighborhoods. The sample household survey indicated that low-income households who were generally characterized as elderly, less-educated, under-employed or unemployed had extremely restricted and passive residence choices. In comparison to non-low-income households, the spatial accessibility of higher-level facilities for low-income households was relatively poorer. Particularly, affordable housing neighborhoods had much lower accessibility of subway stations, though more than 97% of low-income respondents living in affordable housing neighborhoods chose to solve the daily trip demand by taking a bus or the subway. With respect to equity-oriented urban planning, more importance should be attached to the spatial accessibility of public services and facilities when planning affordable housing projects for low-income households. Full article
(This article belongs to the Special Issue Territorial Infrastructures, Real Estate and Socio-Economic Impacts)
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14 pages, 748 KiB  
Article
The Effect of School Quality on House Prices: Evidence from Shanghai, China
by Ziming Liu, Jiayu Ye, Guangcheng Ren and Shuyi Feng
Land 2022, 11(11), 1894; https://doi.org/10.3390/land11111894 - 25 Oct 2022
Cited by 2 | Viewed by 2081
Abstract
Understanding the housing price premium of high-quality education could be important for improving our knowledge on the formation of housing prices and potential consequences of educational resources misallocation. This paper estimates the housing price premium of high-quality primary schools in Shanghai, China. Applying [...] Read more.
Understanding the housing price premium of high-quality education could be important for improving our knowledge on the formation of housing prices and potential consequences of educational resources misallocation. This paper estimates the housing price premium of high-quality primary schools in Shanghai, China. Applying the hedonic price and paired difference models with a boundary fixed effect to the house resale transaction data from January to October 2019, the study found that the housing price premium of high-quality primary school was approximately 15.6%. Moreover, the price premium of small houses was larger than that of large houses. The results suggest that high-quality education has a significant capitalization effect on housing values. This implies that the policy of restricting one student to have a seat in only one particular school within the zoning area would lead to greater education inequality and future policies should consider this effect. Full article
(This article belongs to the Special Issue Territorial Infrastructures, Real Estate and Socio-Economic Impacts)
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20 pages, 4998 KiB  
Article
Spatiotemporal Evolution and Cause Analysis of Urban Housing Investment Resilience: An Empirical Study of 35 Large and Medium-Sized Cities in China
by Linyan Wang, Haiqing Hu, Xianzhu Wang, Xincheng Zhang and Hao Sun
Land 2022, 11(10), 1725; https://doi.org/10.3390/land11101725 - 5 Oct 2022
Cited by 2 | Viewed by 1407
Abstract
In this study, we explore the evolution and formation mechanism of urban housing investment resilience from three perspectives: theoretical analysis, model construction, and empirical testing. Based on the three-element theory of investment decision making and urban resilience system theory, a theoretical framework of [...] Read more.
In this study, we explore the evolution and formation mechanism of urban housing investment resilience from three perspectives: theoretical analysis, model construction, and empirical testing. Based on the three-element theory of investment decision making and urban resilience system theory, a theoretical framework of urban housing investment resilience is constructed. Spatiotemporal analysis and qualitative comparison methods are used to divide 35 large and medium-sized cities into two categories, first-tier and non-first-tier cities, and their spatiotemporal characteristics and differences in terms of formation mechanism differences then explored. The results show that (1) the overall housing investment resilience of the 35 investigated cities is low, with the characteristics of periodic evolution, and there are obvious differences between the first-tier and non-first-tier cities as well as unbalanced development problems. (2) The three internal investment decision factors of returns, costs, and expectations and the five external support factors of economic growth, infrastructure development, labor market, policy regulation, and monetary policy do not, by themselves, constitute the necessary conditions for high levels of urban housing investment resilience, and there are three paths for the development of high levels of housing investment resilience in both first-tier and non-first-tier cities. (3) The twos types of cities have the same conformational path of "return- and cost-driven" but different dedicated conformational paths, including "cost-driven", "expectation- driven", and "return- and expectation-driven", and the core conditions in their driving paths are different, with real estate policy being the core condition in the path of first-tier cities and infrastructure development and labor markets being the core conditions in the path of non-first-tier cities. (4) There is a potential substitution relationship between the three configuration paths of first-tier and non-first-tier cities, and the substitution relationship between the two types of cities is also different. The findings of this study reveal that the complex interaction between the urban resilience system, represented by infrastructure construction, and multiple factors, including the three elements of investment, can have an impact on the resilience of real estate investment. Full article
(This article belongs to the Special Issue Territorial Infrastructures, Real Estate and Socio-Economic Impacts)
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18 pages, 1837 KiB  
Article
Business Income Tax from Profit-Seeking Enterprises and Spatial Autocorrelation: Do Local Economic Characteristics Matter?
by Hao-Chen Huang, Chin-Fu Hung, Chi-Lu Peng and Ting-Hsiu Liao
Land 2022, 11(9), 1533; https://doi.org/10.3390/land11091533 - 10 Sep 2022
Cited by 1 | Viewed by 1162
Abstract
We seek to explore whether local economic characteristics affect the collection of profit-seeking enterprise (PSE) income tax in Taiwan, by adopting panel data from 2001 to 2020 collected in its counties and cities. The results of this analysis of spatial econometric modeling indicate [...] Read more.
We seek to explore whether local economic characteristics affect the collection of profit-seeking enterprise (PSE) income tax in Taiwan, by adopting panel data from 2001 to 2020 collected in its counties and cities. The results of this analysis of spatial econometric modeling indicate that the increase in sales of profit-seeking enterprises (SPSE) has a positive and significant direct effect on the collection of PSE income tax in this county and city. In terms of spatial spillover effects, when the number of profit-seeking enterprises (NPSE) in neighboring regions increases and the percentage of employees working in industrial sectors (PEI) increases, they will then impact the increase in PSE income tax collection in any particular county and city. We find that the amount of PSE income tax collection relates to the agglomeration economy. The findings of this study may be provided as a reference for local governments to conduct administrative construction on the formulation of PSE income tax collection. Full article
(This article belongs to the Special Issue Territorial Infrastructures, Real Estate and Socio-Economic Impacts)
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18 pages, 2416 KiB  
Article
How Does the Quality of Junior High Schools Affect Housing Prices? A Quasi-Natural Experiment Based on the Admission Reform in Chengdu, China
by Xiao Tian, Jin Liu and Yong Liu
Land 2022, 11(9), 1532; https://doi.org/10.3390/land11091532 - 10 Sep 2022
Cited by 1 | Viewed by 1564
Abstract
We exploit an admission reform of junior high schools in Chengdu, China, to identify the capitalization effect of high-quality educational facilities on housing prices. Since 2013, some elite junior high schools have conducted an experimental policy called the four-year junior high school project [...] Read more.
We exploit an admission reform of junior high schools in Chengdu, China, to identify the capitalization effect of high-quality educational facilities on housing prices. Since 2013, some elite junior high schools have conducted an experimental policy called the four-year junior high school project (hereinafter referred to as FJHP). The FJHP reduced the admission chances to elite junior high schools within the FJHP school districts via lottery. Based on 88,745 resale housing transaction records from Chengdu during 2010–2018, we used the difference-in-difference (DID) methodology to estimate the average price effect of the FJHP. Furthermore, we established a DID model with quantile regression to estimate the heterogeneous effect of the FJHP on housing prices. The empirical results show that the implementation of the FJHP reduced the housing prices in the relevant school districts by at least 5.5%, and its price reduction effect increased over time. The quantile regression results show that households with high-priced housing are more sensitive to the change of admission chance to elite junior high schools, which indicates the inequality in accessing high-quality school facilities under the designating admission zone policy. This study concludes with implications for improving the accessibility of school facilities. Full article
(This article belongs to the Special Issue Territorial Infrastructures, Real Estate and Socio-Economic Impacts)
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16 pages, 2416 KiB  
Article
An In-Depth Understanding of the Residential Property Value Premium of a Bikesharing Service in Portland, Oregon
by Sangwan Lee
Land 2022, 11(9), 1380; https://doi.org/10.3390/land11091380 - 23 Aug 2022
Viewed by 1325
Abstract
Bikesharing (BSS) is an emerging alternative mode of transportation with various benefits, such as reducing reliance on single-occupancy automobiles, boosting public health, lowering pollution levels, and enhancing accessibility. Accordingly, proximity to BSS stations can be factored into residential property values. Thus, this research [...] Read more.
Bikesharing (BSS) is an emerging alternative mode of transportation with various benefits, such as reducing reliance on single-occupancy automobiles, boosting public health, lowering pollution levels, and enhancing accessibility. Accordingly, proximity to BSS stations can be factored into residential property values. Thus, this research attempts to explore whether (1) proximity to BSS was positively associated with residential property prices in Portland, Oregon, (2) proximity to BSS and public transportation modes showed synergistic effects on the values, and (3) the magnitude of the BSS premium intensified over time. The findings of spatial hedonic models indicate (1) a premium for proximity to BSS in both single-family and multi-family housing markets with varying magnitudes, (2) synergetic effects between BSS and public transportation modes, including light rail transit, streetcar, and bus, and (3) an unchanged premium for BSS between 2016 and 2019 with a few exceptions. The findings expand discussions around transportation-induced property value premium and offer policy implications. Full article
(This article belongs to the Special Issue Territorial Infrastructures, Real Estate and Socio-Economic Impacts)
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