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This study proposes a method for aggregating/synthesizing global and local sub‐models for fast and flexible spatial regression modeling. Eigenvector spatial filtering (ESF) was used to model spatially varying coefficients and spatial dependence in the residuals by sub‐model, while the generalized product‐of‐experts method was used to aggregate these sub‐models. The major advantages of the proposed method are as follows: (i) it is highly scalable for large samples in terms of accuracy and computational efficiency; (ii) it is easily implemented by estimating sub‐models independently first and aggregating/averaging them thereafter; and (iii) likelihood‐based inference is available because the marginal likelihood is available in closed‐form. The accuracy and computational efficiency of the proposed method are confirmed using Monte Carlo simulation experiments. This method was then applied to residential land price analysis in Japan. The results demonstrate the usefulness of this method for improving the interpretability of spatially varying coefficients. The proposed method is implemented in an R package spmoran. [ABSTRACT FROM AUTHOR]

While the relationship among land price, transportation cost, and urban sprawl under the condition of local governments monopolizing land supply has been rarely discussed in the literature, this paper addresses this gap by hypothesizing based on the monocentric city model. The hypothesis suggests that due to increasing land prices and decreasing transportation costs, urban fringes are more likely to be developed, leading residents to move away from the city center and altering the demographic pattern of urban sprawl. An empirical analysis is conducted using panel data from 104 cities in China, including remote sensing data of urban land construction areas. The results show that high land prices and low transportation costs drive urban sprawl, with varying impacts across cities. The coupling coordination analysis indicates increasing influence of urban sprawl on land prices and transportation costs. These findings suggest the government should address the effects of unplanned urban expansion on these factors. The findings suggest that the government should pay more attention to the effects of unplanned urban expansion on land prices and transportation costs. Understanding the role of local governments in urban planning is crucial for comprehending China's urbanization strategy and its implications on social exclusion, gentrification, high housing prices, and other urban issues.

This study developed a theoretical framework on the relationship between land marketization and industrial high-quality development (HQD) to guide the formulation of policies for advancing new industrialization and high-level manufacturing capabilities. An evaluation system was constructed that can assess regional industrial HQD in seven dimensions: innovation, efficiency, structural optimization, financial risk control, openness, social welfare, and greenness. Based on data related to urban primary land markets and different industries in Guangdong province, China, from 2007 to 2021, the effect of land marketization on industrial HQD was explored using the evaluation models of land marketization and industrial HQD, the Theil index, a panel data model, and the difference generalized method of moments. The findings revealed that land marketization and industrial HQD have increased gradually in Guangdong. In the Pearl River Delta (PRD), both factors have increased rapidly, albeit with low levels of land marketization and high levels of industrial HQD. Notably, the province-wide scores for financial risk control and openness have declined. In the PRD, scores for efficient and financial risk control have consistently been lower than those outside the PRD. Positive relationships were discovered between land marketization and various aspects of industrial HQD, including industrial innovation, efficiency, structural optimization, greenness, and social welfare. Conversely, land marketization was found to have negative relationships with financial risk control and openness. Compared with that in the non-PRD, land marketization in the PRD was more conducive to industrial HQD, innovation, efficiency, structural optimization, and openness but less conducive to greenness, social welfare, and financial risk control. This research concluded that land marketization can promote industrial HQD through rising land prices and an open and fair environment for land market trading. The results of this study enrich the theoretical knowledge of the effects of industrial HQD in China; thus, they can be used as a reference in the formulation of industrial HQD policies related to market-oriented reform and land allocation in China. [ABSTRACT FROM AUTHOR]

The pricing of urban land significantly affects territorial and spatial planning, contemporary urban governance, and land market regulation, accurate forecasting of urban land prices is critically important. The price trends for different land uses exhibit notable differences and spatial heterogeneity, making it difficult to predict using a single model. Therefore, this paper establishes a new spatiotemporal prediction model for urban land prices, the Stacking-GWR model. The study focuses on the main urban area of Changzhou City, dividing land into industrial and non-industrial groups based on price trends. The Stacking-GWR model is used for land price prediction and compared with the results from using Stacking, geographically weighted regression (GWR), and geographically and temporally weighted regression (GTWR) models individually. The results are shown as follows. (1) The Stacking-GWR model, which integrates feature information, spatial information, and temporal information from land price data, improves prediction accuracy. (2) Prediction accuracy is higher for grouped predictions based on land price trends compared to non-grouped predictions. (3) There are significant differences in global and local influencing factors for land prices between industrial and non-industrial land. [ABSTRACT FROM AUTHOR]

Land price maps help the government and stakeholders to recognize fluctuations in land values in the economy. This paper aims to examine the trends of land lease prices from spatio-temporal perspectives for development. The study employed a mixed research approach. The result indicated that the lease price of residential land has been increasing rapidly in the past decade. Inefficiency in the land administration system, high speculation, and low provision of land for auction are the main drivers for the increment. The researchers thus suggest that the government rethink the tenure system, impose the maximum number and size of land parcels, and introduce the capital gain tax. [ABSTRACT FROM AUTHOR]

With the rapid development of the Internet, digital technology is increasingly integrating into the modern circulation system. The influence mechanisms of land prices on the development of the circulation industry are gradually transforming. Using data from 104 major cities in China from 2003 to 2021, this study uses the panel two-way fixed effects model, moderating effects model and threshold regression method to examine the mechanisms by which land prices affect the circulation industry development and the moderating role of Internet development. The results show that elevated land prices significantly stimulate the growth of the circulation industry, leading to an expansion in the circulation industry scale, optimization of its structure, and enhancement of its facilities. The findings remain robust even after addressing endogeneity concerns and conducting various robustness tests. Moreover, the impact of high land prices on the circulation industry is more pronounced in small and medium-sized cities group as well as central region cities group. Real estate investment and industrial structure upgrading are the key channels through which high land prices promote the development of the circulation industry. Additionally, Internet development has a positive moderating effect on the promotion that high land prices stimulate the development of the circulation industry. Notably, only when Internet development surpasses a certain threshold that the promotional effect of land prices on the circulation industry development be fully realized. Based on the above conclusions, the government should continue to deepen the market-oriented reform of land elements, implement precise industrial policy support for the circulation industry and promote circulation digital transformation.

The paper aims to promote a model for determining residential land prices within a suburb of Hue city, Vietnam to improve the efficiency of land price determination and management. The study conducted surveys of 27 variables of 200 residential land plots in order to run the hedonic model using SPSS 26.0 software. The result developed a model that explained 78% of the change in land prices by incorporating five factors: area of land, width of road attached to the land plot, distance to hospital, ability to generate cash flow and planning information. Meanwhile, the writers also produced a map of residential land prices in the 2022 suburban areas of Hue city, Vietnam. This is a helpful tool in land market consulting and land valuation procedures.

In this study, we investigate how geographic proximity to industrial services provided by cities across the urban hierarchy contributes to differences in land prices of nearby towns. We construct three urban hierarchy tiers for cities in China based on their administrative levels. Using over 78,000 transaction data on the transfer of the land-use rights of industrial land between 2009 and 2019 from the China Land Market Network website, we observe spatial patterns in the spillover effect of industrial services. Land prices tend to decline with great distances from cities providing industrial services. Moreover, the spillover effects of urban service for the higher tiers of the urban hierarchy are large. Our results suggest that policymakers and urban planners should re-evaluate the agglomeration spillover effect because it may not fully consider the position of urban concentrations in the urban hierarchy.

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Land price plays a crucial role in the development of a region, which serves as an indicator of the features of a property. The primary goal of this paper is to explore the relationship between land price and various geographical and accessibility parameters and thereby arrive at a model to predict the land price. Based on literature surveys, the parameters that influence land price are identified further through which data collection from primary surveys, the creation of a road network map, a geographic information system (GIS) analysis to determine the distance to the central business district (CBD), measurement of road density and access road width, assessment of employment opportunities through establishment surveys, and identification of various land use parcels in the study region are accomplished. The land prices are collected from recently sold parcels in each of the zones in the study region. A negative and significant correlation is observed between land price and distance to the CBD. Positive correlations are observed between land price and other factors considered, such as road density, availability of educational facilities, employment opportunities, and the extent of commercial and residential land use areas. A non-linear regression model is developed that can predict land price depending on the significant parameters. [ABSTRACT FROM AUTHOR]

The present study attempts to spatial and temporal analysis of the reactions between urban commercial marketing and influencing economic factors in Mashhad City (Iran). For this purpose, statistical and spatial data from 18 selected commercial complexes and trading towers were collected using official documents, fieldwork observations, and surveys of some interviews for time windows of 2010 and 2020. The total annual revenue, as the commercial marketing indicator, was chosen as the dependent variable to indicate the mean productivity and profitability of shop stores in the case studies. Besides, eight factors, including commercial marketing and urban regional characteristics were chosen as independent factors. Results revealed that the mean values of commercial interest rates were recorded equal to 0.71 and 0.64 in 2010 and 2020, revealing the overall decrease in profitability of the commercial complexes within the recent decade. Despite the growing rate of construction of renewal mega projects and trading towers in the central district of Mashhad City, the marketing revenues and commercial interests had no positive relationships with city center profits in the recent decade. The land price market has severely changed the spatial structure and economy of Mashhad, such as commercial projects and marketing. It means that the main motivation for marketing in commercial complexes can be considered as regional land values instead of the traditional function of the religious city center. [ABSTRACT FROM AUTHOR]

After over 20 years of a strict moratorium on the turnover of agricultural land in Ukraine, an official market for this type of land has recently been established. The purpose of this study was to examine the functioning of the fundamental elements of this market from the moment of its introduction on 1 July 2021 until today, as well as to understand the possible directions for its further development. The analysis of the agricultural land market and the visualization of the obtained results were carried out using the PostgreSQL database, Python and SQL programming languages, and the QGIS and Metabase tools. It was found that the volume of the agricultural land market remains insignificant, as the total area of sold land during this period made up only 0.7% of the arable land area of Ukraine. Prices for land plots remained at the level of their normative monetary value and are still relatively low, which indicates the significant undercapitalization of agricultural land as a production factor. The stability of agricultural land prices under the influence of various factors also indicates their relative virtuality, which, taking into account the further lifting of restrictions on the size of land plots to be sold as of 1 January 2024, requires the use of appropriate land policy instruments in order to fully utilize the multipurpose role of land in the achievement of the Sustainable Development Goals, which should be based on a human-rights-based approach to rural development, food security, and land policy. [ABSTRACT FROM AUTHOR]

Urban shrinkage has emerged as a widespread phenomenon globally and has a significant impact on land, particularly in terms of land use and price. This study focuses on 2851 county-level cities in China in 2005–2018 (excluding Hong Kong, Macao, Taiwan, and 'no data' areas in Qinhai-Tibet Plateau) as the fundamental units of analysis. By employing nighttime light (NTL) data to identify shrinking cities, the propensity score matching (PSM) model was used to quantitatively examine the impact of shrinking cities on land prices, and evaluate the magnitude of this influence. The findings demonstrate the following: 1) there were 613 shrinking cities in China, with moderate shrinkage being the most prevalent and severe shrinkage being the least. 2) Regional disparities are evident in the spatial distribution of shrinking cities, especially in areas with diverse terrain. 3) The spatial pattern of land price exhibits a significant correlated to the economic and administrative levels. 4) Shrinking cities significantly negatively impact on the overall land price (ATT = −0.1241, P < 0.05). However, the extent of the effect varies significantly among different spatial regions. This study contributes novel insights into the investigation of land prices and shrinking cities, ultimately serving as a foundation for government efforts to promote the sustainable development of urban areas. [ABSTRACT FROM AUTHOR]

This study developed a theoretical framework on the relationship between land marketization and industrial high-quality development (HQD) to guide the formulation of policies for advancing new industrialization and high-level manufacturing capabilities. An evaluation system was constructed that can assess regional industrial HQD in seven dimensions: innovation, efficiency, structural optimization, financial risk control, openness, social welfare, and greenness. Based on data related to urban primary land markets and different industries in Guangdong province, China, from 2007 to 2021, the effect of land marketization on industrial HQD was explored using the evaluation models of land marketization and industrial HQD, the Theil index, a panel data model, and the difference generalized method of moments. The findings revealed that land marketization and industrial HQD have increased gradually in Guangdong. In the Pearl River Delta (PRD), both factors have increased rapidly, albeit with low levels of land marketization and high levels of industrial HQD. Notably, the province-wide scores for financial risk control and openness have declined. In the PRD, scores for efficient and financial risk control have consistently been lower than those outside the PRD. Positive relationships were discovered between land marketization and various aspects of industrial HQD, including industrial innovation, efficiency, structural optimization, greenness, and social welfare. Conversely, land marketization was found to have negative relationships with financial risk control and openness. Compared with that in the non-PRD, land marketization in the PRD was more conducive to industrial HQD, innovation, efficiency, structural optimization, and openness but less conducive to greenness, social welfare, and financial risk control. This research concluded that land marketization can promote industrial HQD through rising land prices and an open and fair environment for land market trading. The results of this study enrich the theoretical knowledge of the effects of industrial HQD in China; thus, they can be used as a reference in the formulation of industrial HQD policies related to market-oriented reform and land allocation in China.

Improvement in the built environment is an essential component of transit-oriented development; however, the economic effects of such investments have not yet been fully understood because their investigation requires a suitable empirical case. Using the decentralized development of station plazas, this study identified the conditions under which plaza development raises the economic value of the surrounding areas. We empirically analyzed the impact of station plaza development on the land prices of 3870 properties in the surrounding areas at 181 of the 1556 stations in the Tokyo Metropolitan Area from 2000 to 2010, where station plazas were developed for the revitalization of station areas in a mature urban economy. Mahalanobis distance matching was applied to obtain the treatment effect, and the heterogeneity in the effects on the land price of properties by land-use pattern and geographical location was analyzed. The results showed that the properties benefited from station plaza development depending on the accessibility to and from the nearest station and the Tokyo Station (the central station) and their land-use patterns. The study found that there could be a redistributive effect in that the plaza development had positive effects on land price changes around the stations and negative effects in places far from the stations. • Impacts of railway station plaza development on land prices are analyzed. • Empirical data in the Tokyo Metropolitan Area in 2000 and 2010 are used. • The effect of plaza development is estimated with Mahalanobis distance matching. • Station plaza development has heterogeneous effects on land price. [ABSTRACT FROM AUTHOR]

ABSTRACTThe article analyses the relation of market prices in the agricultural land market and selected pedological characteristics of traded lands. During the period of 2009–2018 in 12 districts of Slovakia more than 153,000 plots with different pedo-ecological and geographic conditions have been analysed. Based on soil types, texture composition, steepness, gravel content, and depth, corresponding price levels were derived, and soil price maps were developed. The highest valued soils are of chernozem type (EUR 1.64 m−2), loamy soils (EUR 0.86 m−2), soils on flat land (EUR 1.09 m−2), slightly gravelly soils (EUR 1.02 m−2), and deep soils (EUR 1.10 m−2). The land price is evidently highly correlated with its qualitative parameters. Using GIS technologies, the entire territory of Slovakia has been categorized by this means and a so-called basic map of agricultural soil market prices in Slovakia has been created.

Land prices are integral for a variety of stakeholders, ranging from urban planners to real estate investors. Land prices play a pivotal role in economic theory, influencing a myriad of decisions from urban planning to investment strategies. The tree datasets we are focusing on are from separate sources present information on a land prices in Bulgaria, it becomes essential to determine their consistency. Linear regression serves as a powerful tool to achieve this and a second method of MANOVA is applied to understand the tree datasets. The aim of this study is to prove the reliability of the information on the agricultural resource. [ABSTRACT FROM AUTHOR]

Agricultural land is, due to its characteristics, a specific resource whose importance goes beyond the function of an agricultural production factor. Rational management of the potential is an essential element in shaping the competitiveness of agriculture and securing food security. It is related to the flow of land to farms that offer opportunities for its optimal use. In the case of agricultural land, its economic allocation is modified by the state, which determines the rules for trading agricultural land. The aim of the article is to discuss changes in agricultural land trading in Poland, after the introduction of legal regulations in 2016 that significantly limit the freedom to change agricultural land ownership rights. Using the data of Statistics Poland, the Ministry of Justice and institutions entrusted by the legislator with the exercise of ownership rights and other rights in rem in relation to state property in agriculture and control functions in private trade, changes in agricultural land trade were analyzed. The scale of the transfer of ownership and use rights as well as prices and the amount of lease rate were analyzed. [ABSTRACT FROM AUTHOR]

Recent literature has highlighted the critical issue of urban land value and cost; properly assessing land use costs, particularly for residential and commercial purposes, is crucial in influencing urban development and investments. Therefore, the objective of this research is to create a model for land pricing that considers the urban street networks and hierarchy; by analyzing the spatial plan of the city using space syntax and evaluating the economic impact on land value, the study aims to identify the factors that influence land prices. Furthermore, the study intends to investigate the correlation between urban spatial networks, street hierarchy, and land price to create a predictive model for urban spatial land pricing. Ultimately, the study has successfully built a model for predicting the price of urban land. The case selected is evaluated and compared in three aspects of the analysis, including the urban axial assessments and urban street width, to find out their impacts on the real estate's land price in the context of the land use distributions, which are predominantly residential and commercial types of uses. Depth map X8, SPSS, and QGIS 3.16 were used for the study evaluations and assessments. The study found that land prices are influenced by factors such as integration, connectivity, and street width. Commercial zones with good integration and wider roads tend to command higher prices, while narrow local roads generally have lower prices. This result can enhance future urban design regarding urban economy improvements and land costs. [ABSTRACT FROM AUTHOR]

Gentrification is a phenomenon that occurs in many regions. Gentrification is characterized by the influx of more affluent residents into initially low-value areas. This influx increases the value of these areas, potentially leading to the displacement of people who cannot afford to remain in the neighborhood. This study aims to examine the cause and impacts of peri-urban gentrification in Cisauk District, Tangerang Regency. This study uses qualitative and remote sensing-based analysis to investigate gentrification's impact on six Cisauk sub-district villages. We used primary and secondary data for the analysis. The primary data was collected from observations, interviews, questionnaires, and Google Earth Engine data catalog to get Landsat 7 and 8 imageries. The secondary was collected from the Central Bureau of Statistics. The Landsat data was used to identify the change on the physical aspect, while the others were used to analyze the non-physical aspect. Afterward, positive and negative effects were explored, emphasizing residents' responses and adaptations. The results showed that Cisauk Subdistrict faced a gentrification process driven by locational factors (i.e., proximity to toll road) and local government policies (i.e., spatial planning policy designating it as a high-density residential area). The positive impact of the gentrified area is that the region is developing economically much better, and many areas function better economically and so benefit the region and its people. On the other hand, the negative impacts of gentrified areas are that indigenous people are threatened with being forced to leave their villages, there are significant increases in land prices, and changes in people's social lives occur. To minimize the negative impact of gentrification, the government should promote the capacity of low-income households to access its benefits. [ABSTRACT FROM AUTHOR]

This research study explored the impact of an urban spatial plan on land value; it drew on the value model based on space syntax as a systematic technical piece of software that explains and analyzes the relationship between land use and land value. The study proposes a framework based on the urban spatial network. We selected the Kirkuk city master plan for evaluation purposes and hypothesized that there would be a relationship between the space syntax of the essence of urban spatial integration and the price of land. Therefore, the case selected was evaluated in three aspects of analysis: the urban spatial function, which involves the integration rates of the city's street network and connectivity; the urban land price assessments in the context of the city's spatial grids; and the expansion of land use distribution, including residential and commercial grounds, to explain the changing economic value of the spatial relationship in the land market. OSM, AutoCAD, depth map X8, QGIS 3.16, and SPSS were used for data cluster analysis, spatial network preparation and analysis, and correlation analysis. The results showed that the urban spatial plans and comprehensive urban socioeconomic and environmental factors had a significant impact on land price. This result can enhance the future spatial design and the economy of metropolitan areas. [ABSTRACT FROM AUTHOR]

We estimate the relationship between high‐temperature exposure and land transaction using daily transaction data from 2013 to 2018 in China. Standard hedonic price method is used to perform multidimensional fixed effects regression on 458,564 transaction samples. This study shows that each additional day of the extremely high temperature increases the average bid price by 0.6%, which is equivalent to an additional annual increase of 15.018 billion yuan in land transaction costs. The effect of high temperature on land prices is considerably stronger for residential and commercial lands. We further find that high‐temperature‐induced changes of mood and cognition play a role. Extreme gradient boosting (XGBoost) algorithm is used to calculate price deviation, which overcome missing eigenvalues and reduce nonlinear measurement error. Our findings indicate that heat can make investors more aggressive, which occurs when bidders continue to raise prices to win. The number of bidding behavior will not drop due to the hidden costs of land transactions. Specially, bidding experience offsets the cognitive output bias. This study contributes to the behavioral finance and decision‐making literature, helps investors make better investment management decisions, and alleviates the negative effect of land transaction premium on the real estate market. Plain Language Summary: Extreme temperatures are becoming more frequent due to climate change. Extreme temperature can affect people's cognitive performance. Using large‐scale land transaction data and a fixed‐effects model, this paper analyzes the impact of extreme temperature on decision‐making. Results show that each additional day of extremely high temperature increases the average bid price by 0.6%, which is equivalent to an additional annual increase of 15.018 billion yuan in land transaction costs. This paper analyzes the impact of extreme temperature on human cognitive performance from the perspective of e climate change and uses land transaction behavior as a measure of decision‐making to reveal the mechanism of climate change affecting cognitive performance. Key Points: Each additional day of the extremely high temperature increases the average bid price by 0.6%Heat can make investors more aggressive, which occurs when bidders continue to raise prices to winBidding experience offsets the cognitive output bias [ABSTRACT FROM AUTHOR]

After over 20 years of a strict moratorium on the turnover of agricultural land in Ukraine, an official market for this type of land has recently been established. The purpose of this study was to examine the functioning of the fundamental elements of this market from the moment of its introduction on 1 July 2021 until today, as well as to understand the possible directions for its further development. The analysis of the agricultural land market and the visualization of the obtained results were carried out using the PostgreSQL database, Python and SQL programming languages, and the QGIS and Metabase tools. It was found that the volume of the agricultural land market remains insignificant, as the total area of sold land during this period made up only 0.7% of the arable land area of Ukraine. Prices for land plots remained at the level of their normative monetary value and are still relatively low, which indicates the significant undercapitalization of agricultural land as a production factor. The stability of agricultural land prices under the influence of various factors also indicates their relative virtuality, which, taking into account the further lifting of restrictions on the size of land plots to be sold as of 1 January 2024, requires the use of appropriate land policy instruments in order to fully utilize the multipurpose role of land in the achievement of the Sustainable Development Goals, which should be based on a human-rights-based approach to rural development, food security, and land policy.

Gentrification is a phenomenon that occurs in many regions. Gentrification is characterized by the influx of more affluent residents into initially low-value areas. This influx increases the value of these areas, potentially leading to the displacement of people who cannot afford to remain in the neighborhood. This study aims to examine the cause and impacts of peri-urban gentrification in Cisauk District, Tangerang Regency. This study uses qualitative and remote sensing-based analysis to investigate gentrification's impact on six Cisauk sub-district villages. We used primary and secondary data for the analysis. The primary data was collected from observations, interviews, questionnaires, and Google Earth Engine data catalog to get Landsat 7 and 8 image-ries. The secondary was collected from the Central Bureau of Statistics. The Landsat data was used to identi-fy the change on the physical aspect, while the others were used to analyze the non-physical aspect. After-ward, positive and negative effects were explored, emphasizing residents' responses and adaptations. The re-sults showed that Cisauk Subdistrict faced a gentrification process driven by locational factors (i.e., proximity to toll road) and local government policies (i.e., spatial planning policy designating it as a high-density residential area). The positive impact of the gentrified area is that the region is developing economically much better, and many areas function better economically and so benefit the region and its people. On the other hand, the negative impacts of gentrified areas are that indigenous people are threatened with being forced to leave their villages, there are significant increases in land prices, and changes in people's social lives occur. To minimize the negative impact of gentrification, the government should promote the capacity of low-income households to access its benefits.

Urban Quality of Life (UQoL) is the main objective of sustainable development in the urban context. It is now widely recognised as a multidimensional concept. The satisfaction provided by the elements related to accommodation, such as housing and land, greatly contributes to the satisfaction with quality of life. Meanwhile, the UQoL also contributes to housing and land prices in cities. Our review shows that most current studies on this interrelationship are limited to several dimensions of UQoL and their impact on housing or land prices. This article will fill the gap by using the land price as an input for calculating a UQoL index from the viewpoint of the Status-Quality Trade-Off theory and ecosystem services. A case study was conducted in Cau Giay District, Hanoi, Vietnam, to create a map of the UQoL index and investigate the interrelationship UQoL – land price. In an ideal condition, this interrelationship should be positive (high/low UQoL index – high/low land price). However, this research revealed two other negative scenarios: “high UQoL index – low land price”, and “low UQoL index – high land price”. These negative scenarios can bring many business opportunities and therefore be interesting for stakeholders in the real estate market.

We illuminate the causal relationship between high-speed railway (HSR) expansions and economic development, focusing on HSR in Japan–the Shinkansen–from 1983 to 2020. To address endogeneity concerns about HSR station construction, we employ a market access approach that captures both the direct and indirect impacts of HSR expansion. The results show that a 1% increase in HSR market access increases the land price by 0.176%, total income (hereafter, income) by 0.425%, and income per capita by 0.023% of Japan. However, most of the benefits are focused in Tokyo and other developed areas, while the economic growth due to HSR expansion of cities outside these areas is negative or statistically insignificant. We confirm the robustness of the results through the instrumental variable (IV) approach and a series of robustness checks. Next, we conduct counterfactual analyses using regression results to evaluate future Japanese HSR plans: the Linear Shinkansen, regional expansion, and a policy that would implement both. Simulation results reconfirm that future HSR plans will induce economic growth but, at the same time, aggravate regional disparity; thus, the expected economic outcomes may be double-edged. • Whether HSR induces economic development but aggravates regional disparity is empirically investigated. • We control for endogeneity issues by using a market access approach, a set of fixed effects and an IV. • Economic benefits of HSR were focused in developed areas. • Undeveloped areas experience negative/insignificant economic growths due to HSR. • The expected economic outcomes of Future HSR schemes are double-edged. [ABSTRACT FROM AUTHOR]

Urban Quality of Life (UQoL) is the main objective of sustainable development in the urban context. It is now widely recognised as a multidimensional concept. The satisfaction provided by the elements related to accommodation, such as housing and land, greatly contributes to the satisfaction with quality of life. Meanwhile, the UQoL also contributes to housing and land prices in cities. Our review shows that most current studies on this interrelationship are limited to several dimensions of UQoL and their impact on housing or land prices. This article will fill the gap by using the land price as an input for calculating a UQoL index from the viewpoint of the Status-Quality Trade-Off theory and ecosystem services. A case study was conducted in Cau Giay District, Hanoi, Vietnam, to create a map of the UQoL index and investigate the interrelationship UQoL - land price. In an ideal condition, this interrelationship should be positive (high/low UQoL index - high/low land price). However, this research revealed two other negative scenarios: "high UQoL index - low land price", and "low UQoL index - high land price". These negative scenarios can bring many business opportunities and therefore be interesting for stakeholders in the real estate market. [ABSTRACT FROM AUTHOR]

The paper presents the characteristics of the agricultural sector in Romania, through the lens of the land grabbing phenomena. It is one of the latest additions to an already full agenda of challenges that rural development must address. Land grabbing deprives the population of the ability to make decisions about the national land (what is cultivated, what agricultural practices are used, what is the purpose of the land), nullifying food sovereignty. Also, the possibility of young people to choose agriculture as a field of activity is restricted by the privatization of land, although they receive subsidies for establishing themselves as young farmers. The analysis carried out in the period 2015-2021 indicated that approximately 40% of Romanian agricultural land is owned by foreign owners, while 46% of the population lives in the countryside and 1.6 million people are employed in agriculture, forestry and fishing. The results showed that the largest areas are owned by Italy, Denmark, Germany, Sweden, Lebanon and the United Arab Emirates. The main fields of activity are the following: agriculture, forestry, conservation and renewable energy. At the same time, subsidies can represent significant income for large areas of land. For the studied period, an increase in the prices of arable land in Romania was found, although they are lower than in other European countries. The biggest increases in arable land prices were recorded in the West, South-East and South-West Oltenia Regions. [ABSTRACT FROM AUTHOR]

The article analyses the relation of market prices in the agricultural land market and selected pedological characteristics of traded lands. During the period of 2009–2018 in 12 districts of Slovakia more than 153,000 plots with different pedo-ecological and geographic conditions have been analysed. Based on soil types, texture composition, steepness, gravel content, and depth, corresponding price levels were derived, and soil price maps were developed. The highest valued soils are of chernozem type (EUR 1.64 m−2 ), loamy soils (EUR 0.86 m−2 ), soils on flat land (EUR 1.09 m−2 ), slightly gravelly soils (EUR 1.02 m−2 ), and deep soils (EUR 1.10 m−2 ). The land price is evidently highly correlated with its qualitative parameters. Using GIS technologies, the entire territory of Slovakia has been categorized by this means and a so-called basic map of agricultural soil market prices in Slovakia has been created. [ABSTRACT FROM AUTHOR]

The land is a natural resource which is rich in diversity, and its value tends to increase over time. Therefore, compensation in cases when the State acquires land, is an issue of concern. Using data from 100 surveyed households and ten interviews (including 5 houesholds indirectly affected by land acquisition, 3 relevant experts, and 2 village headmen) in Da Nang, the article aims to answer two research questions: (1) assessment of landless households on land compensation policy, and (2) an assessment of outstanding issues in this policy in Vietnam. The results show that the local government has strictly followed the regulations and procedures of the State on land acquisition and compensation for economic development purposes under the 2013 Land Law. However, affected people feel dissatisfied with what they had received when they lost land. The first reason is the significant difference between the compensation prices households received and the market price, as determined by a real estate broker. Second, concerns about the future arise when a family’s means of production are acquired by the state. In addition, the policy also lacks support measures for households located in affected areas. These shortcomings lead to dissatisfaction among families.

Bandwidth plays a crucial role in the Geographically Weighted Regression modelas it affects the model’s ability to describe spatial dependencies. If the bandwidth is too large, the model will be similar to a normal regression model. Conversely, if it is too small, the model will be too rough. Bandwidth can be selected in several ways, e.g. manually determined by experts or using Akaike Information Criteria, Cross-Validation, and Lagrange Multiplier methods. This study offers an alternative approach to choosing bandwidth based on the covariance function representing a linear combination between the Bessel and Gaussian-Type functions. We applied this function to analyze the land price in Manado with four infrastructure accessibility variables, such as accessibility to government offices, education facilities, shopping centers, and healthcare facilities. Therefore, the proposed method is different from the index methods (AIC and CV) which have been used by other researchers. The results showed that the non-parametric covariance function provides a smaller bandwidth than conventional methods, specifically Akaike Information Criteria and Cross-Validation. In addition, the value of R2(adjusted) given by the covariance function is greater than the one given by the proportional method. This means that the optimal bandwidth obtained using the covariance function is more suitable to explain the land price in the city of Manado.

High-speed railway (HSR) has become the backbone of China's rapid and comprehensive urban transportation network system. However, the impact of the network characteristics of HSR on urban land prices has not been studied in sufficient detail. To fill this gap, this study focuses on both the Yangtze River Delta urban agglomeration and the Beijing-Tianjin-Hebei urban agglomeration and explores the linkage relationship between the HSR network and urban land prices. For this analysis, social network analysis and fixed effects model are used. The results show that the overall HSR network density of these two urban agglomerations still has room for improvement. Affected by regional proximity and the direction of HSR lines, HSR presents a spatial pattern of a multi-center–multi-tier network. The "siphon effect" is the main effect of the HSR network characteristics on land prices. However, the weakening degree of spatial spillover effect on siphon effect of the HSR network in the Yangtze River Delta urban agglomeration is stronger than that in the Beijing-Tianjin-Hebei urban agglomeration. Local governments should fully utilize the spatial effects of HSR and enhance the level of coordinated development among urban agglomerations. [ABSTRACT FROM AUTHOR]

Railroads are generally the primary public transportation system connecting the region. However, when a railway crosses a city, it divides it into north-south (east-west), creating the front and rear sides of the city. In Japan, grade separation projects elevate the existing railway lines. The primary purpose is to relieve traffic congestion caused by railroad crossings. However, integrating the north–south axis has also been highlighted. In addition, creating a new centrality to station spheres in mature cities will be an essential guideline for the future formation of an urban structure centered on station spheres by transit-oriented development. This study focused on 12 cases in which an elevated railway line in the Kyoto-Osaka-Kobe conurbation of Japan was combined with an urban redevelopment project. We investigated changes in land use and land prices in the surrounding area. The study results confirmed that the disparity between the front and rear sides tended to shrink. In addition, based on the station's characteristics and area to be redeveloped, a policy for more effective integrated redevelopment and elevation projects was identified. The findings of this study will assist in reorganizing cities into a more sustainable urban structure by eliminating urban fragmentation centered on railway stations. • Observing 12 cases of Grade separation projects with Urban revitalization plans in Japan. • Elevating the railway with redevelopment would increase the land price around the station. • The GSP and URP corrects the disparity of the north-south (east-west). • The commercial or public use is suitable for the redevelopment area and the space under the elevated. [ABSTRACT FROM AUTHOR]

The aim of this article is to assess the effect of the applied land valuation system on the price of land, and as a consequence of the implied links to compare the valuation of soil units in Slovakia and the Czech Republic. In order to fulfil this objective, an econometric approach was chosen in the form of a hedonic price model, whereby the heteroscedastic corrected linear regression model was specifically applied. The estimated model shows a very high explanatory ability, together with a high parametric significance for most fictitious variables (land characteristics), and at the same time also fulfils the theoretical and logical consistency of general assumptions. From the results, it is evident that, in the case of Slovakia, ESEU [evaluated soil ecological unit] valuation is affected primarily by the climatic region and the main soil unit. When comparing the results of the effect of individual input factors on the price of land in the Czech Republic and Slovakia, it can be stated that the results are slightly different in the effect of certain factors. The characteristics of soils located in warm climatic regions with a valuable soil type of chernozem and low slope are significant and positively intensive factors.

In the context of the intensification of urban land resource scarcity, this study attempted to explore the formation paths and direction of forcing the improvement of urban land use efficiency by means of price. Using the panel data of 280 prefecture-level cities from 2007 to 2019 and using the dynamic spatial Durbin model, this article systematically described the short-term and long-term effects of land price rises on the improvement of urban land use efficiency from the overall level and the level of sub-use scale, and investigated the strategic interaction of local governments in cities of the same scale in the face of price changes. The results showed that, at the overall level, the rise in urban land prices improved the urban land use efficiency in the experimental area but inhibited the efficiency of surrounding areas. At the level of sub-use scale, the results showed that: ① The rise in the price of commercial and residential land promoted the improvement of efficiency in the short term, and the impact was gradually weakened in the long term. In addition, in the short term, the ‘siphon effect’ was mainly reflected in the strategic interaction between governments. In the long run, the ‘demonstration effect’ was mainly reflected among large cities of the same size, while the ‘siphon effect’ was mainly reflected among small and medium-sized cities. ② Industrial land prices did not significantly improve efficiency in the short term, but played a more obvious role in the long term. In the short term, the ‘siphon effect’ was mainly reflected in the strategic interaction between governments. In the long run, the ‘demonstration effect’ was mainly reflected among large cities of the same size, while the ‘siphon effect’ was reflected among small and medium-sized cities. Therefore, for commercial and residential land, we should continue to deepen the ‘bidding, auction, and listing’ transfer system and the reform of the fiscal and tax systems to avoid the phenomenon of offering only to ‘those with the highest price’. For industrial land, combining an effective marketization mechanism with efficient government management and setting up a refined, multi-level collaborative management system throughout the different stages is conducive to the improvement of the efficiency of land use over the long term. [ABSTRACT FROM AUTHOR]

With the rapid development of the Internet, digital technology is increasingly integrating into the modern circulation system. The influence mechanisms of land prices on the development of the circulation industry are gradually transforming. Using data from 104 major cities in China from 2003 to 2021, this study uses the panel two-way fixed effects model, moderating effects model and threshold regression method to examine the mechanisms by which land prices affect the circulation industry development and the moderating role of Internet development. The results show that elevated land prices significantly stimulate the growth of the circulation industry, leading to an expansion in the circulation industry scale, optimization of its structure, and enhancement of its facilities. The findings remain robust even after addressing endogeneity concerns and conducting various robustness tests. Moreover, the impact of high land prices on the circulation industry is more pronounced in small and medium-sized cities group as well as central region cities group. Real estate investment and industrial structure upgrading are the key channels through which high land prices promote the development of the circulation industry. Additionally, Internet development has a positive moderating effect on the promotion that high land prices stimulate the development of the circulation industry. Notably, only when Internet development surpasses a certain threshold that the promotional effect of land prices on the circulation industry development be fully realized. Based on the above conclusions, the government should continue to deepen the market-oriented reform of land elements, implement precise industrial policy support for the circulation industry and promote circulation digital transformation., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

The impact of high-speed rail (the following text is written as HSR) on regional economy has become an important research hotspot in the world. Using the Difference in Differences (DID) method, this paper analyzes the influence of HSR opening in 223 cities from 2011 to 2018, considering the time delay effect of HSR opening. After the Propensity Score Matching Difference in Differences (PSM-DID) method and counterfactual regression for robustness test, and we analyzed the mechanism of the urban resident population and financial activities; the results show that: (1) The impact of HSR opening on residential land price is more positive than commercial use land price. (2) For residential land price, the opening of HSR has a greater positive effect on the land in urban areas. (3) The HSR has a more significant impact on the price of residential land in high-tier (second-tier and first-tier) cities, especially on urban area in first-tier cities (including new first-tier cities), and then their city area, followed by second-tier cities. (4) In addition to the impact starting time first, the impact coefficient of HSR on the land price in high-tier cities is higher than that in low-tier cities. (5) From the perspective of residential land price, within 5 years from opening, HSR plays a constant role in developed cities' economy. [ABSTRACT FROM AUTHOR]

Over the past decade, urban density has been growing faster than ever, forcing high-density expansion. The aim of this study is to verify whether urban density is accepted as a sustainable value-added quality, internalized in the willingness to pay on a buildable per square feet basis. To explore the relationship between land prices and densification processes, this study focused on a low-density area, which recently went through a densification policy process with the approval of a new zoning tool. The study analyzes land price trends on a 144-Acre of area, located in the South Boston Submarket, identified as the Dorchester Ave Area. I analyzed land transactions in this area between 2012 and 2021. I also examined land price variations before and after the approval of a densification plan in correlation with the overall trend of the real estate market in that area. The results suggest that density is a value-added feature that affects land prices. Indeed, a higher density leads to higher values per buildable square feet. Densification policies have a strong positive impact on land transaction prices. Community and developers valued density with a greater willingness to pay, internalizing the economic, social, and environmental sustainability benefits. This phenomenon should be taken into consideration by local public authorities implementing their zoning tools. [ABSTRACT FROM AUTHOR]