Understanding the Relationship Between Shrinking Cities and Land Prices:Spatial Pattern,Effectiveness,and Policy Implications

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.

Relationship between Housing Price and Land Price Based on Grey Relational Analysis

In recent Years, China＇s real estate market has been rapid developed, and real estate has become a hot spot of consumption and investment. In some large and medium-sized cities there has been a rapid rise in housing prices. The rapid rise in housing prices has led to difficulties in the purchase of houses in some cities and towns, and this phenomenon has aroused the attention and con- cern of all walks of life. Housing is the basic human life needs. Housing problem is not only an economic problem, but also a social problem. The relationship between house price and land price and the effective control of housing prices have become the focus of government and scholars. Thus, grey relational analysis is used to ana- lyze the relationship between housing prices and land prices, and the grey relational coefficients are calculated.

STUDY ON SPATIAL AUTOCORRELATION OF URBAN LAND PRICE DISTRIBUTION IN CHANGZHOU CITY OF JIANGSU PROVINCE

This paper uses a spatial statistics method based on the calculation of spatial autocorrelation as a possible approach for modeling and quantifying the distribution of urban land price in Changzhou City, Jiangsu Province. GIS and spatial statistics provide a useful way for describing the distribution of urban land price both spatially and temporally, and have proved to be useful for understanding land price distribution pattern better. In this paper, we apply the statistical analysis method to 8379 urban land price samples collected from Changzhou Land Market, and it is turned out that the proposed approach can effectively identify the spatial clusters and local point patterns in dataset and forms a general method for conceptualizing the land price structure. The results show that land price structure in Changzhou City is very complex and that even where there is a high spatial autocorrelation, the land price is still relatively heterogeneous. Furthermore, lands for different uses have different degrees of spatial autocorrelation. Spatial autocorrelation of commercial lands is more intense than that of residential and industrial lands in regional central district. This means that treating land price as integration of homogeneous units can limit analysis of pattern, over-simplifying the structure of land price, but the methods, just as the autocorrelation approaches, are useful tools for quantifying the variables of land price.

Balance of Datum Land Prices Among Cities Based on the City Gravitation Model and Stochastic Diffusion Equation

A balance of urban datum land prices is achieved to harmonize regional land prices and make the prices truly reflect different economic development levels and land prices among cities. The current piecewise linear interpolation balance method widely used has two drawbacks that always lead to an unsatisfactory balance among some cities. When the excess of land price in the central city to the surrounding zone reaches a certain degree, land price in the circumjacent city is not only consistent with the local land grade and land use level, but also influenced by the diffusion of land price in the central city. Thus, a new balanced scheme of datum land prices based on the city gravitation model and stochastic diffusion equation is brought forward. Finally, the new method is examined in the practice of datum land price balance in Hubei Province, China.

Research on the Balance of Urban Benchmark Land Price in Henan Province : A Case Study of Commercial Land

The balance of benchmark land price is an important part of the work of urban benchmark land price.By constructing different levels of factor layers,the balance of benchmark land price of urban commercial land in the urban areas of 18 provincial cities in Henan Province was studied.The urban areas were divided into 5 classes.It is found that the land price level in each urban area is basically consistent with the level of economic development,and the land price in some urban areas is low under the influnece of local policy.

Balance of Urban Benchmark Land Price in Henan Province:A Case Study of Residential Land

Benchmark land price balance is an important content of urban benchmark land price work.In this paper,by building different levels of factor layers,the balance of urban residential land in 18 cities of Henan Province is studied,and the 18 cities can be divided into five categories.It is found that the urban land price level is basically consistent with the level of economic development,and some urban land price is lower due to local policy.

Theoretical Study on the Regional Comprehensive Price of Expropriated Agricultural Land Based on the Benchmark Land Price

So far,the work of calculating the regional comprehensive price of expropriated agricultural land has been carried out for more than ten years,but in the specific calculation process,the concept and calculation method of the regional comprehensive price of expropriated land are still lack of unified standards.In this paper,from the point of view of the benchmark land price,the regional comprehensive price of expropriated agricultural land is calculated by using the relatively mature benchmark land price.

THE BENCHMARK LAND PRICE SYSTEM AND URBANLAND USE EFFICIENCY IN CHINA

ABSTRACT: China began to introduce market principles and establish price mechanism to better manage land and improve land use efficiency in the late 1980s. Since then, land markets begin to emerge. A benchmark land price system, providing guidelines for land use rights selling and transferring, was established in order to overcome lack of market data and experiences in land transaction. The benchmark prices of land use rights are determined by land use, land use density (floor-land ratio), land grades, land improvement, and tenant resettlement costs. This paper first conducts a formal analysis based on modern urban economic theory. The formal model provides a theoretical foundation in which the benchmark land price system is assessed and evaluated in terms of land use and urban development. The paper then concludes that the benchmark price system has two theoretical problems. One is associated with the fact that floor-land ratio plays an important role in land price determination whereas the theory suggests the other way around. That is, floor-land ratio depends on land prices. The other problem is that the benchmark land price system does not provide adequate room for the substitution between land and capital inputs. The substitution is a key in achieving land use efficiency in land markets and urban development process. It is concluded that the practice of the benchmark land price system is at odd with reforms that aim to introduce market principles and mechanism to guide resource uses. Therefore, it is recommended that further land policy reform should be taken.

A Study on the Standard Land Price Balance of Urban Commercial Land in Henan Province

The standard land price balance is an important part of urban land price balance. This paper builds different levels of factor layer to carry out a balance study on the urban commercial land in 18 cities of Henan Province,and divides the 18 cities into five categories. Results show that the level of land price is basically consistent with the level of economic development in various cities,and affected by local policies,the land price is too low in some cities.

Does Climatic Variability Influence Agricultural Land Prices under Differing Uses? The Texas High Plains Case

The Texas High Plains faces projections of increasing temperature and declining precipitation in the future on account of its semi-arid climate. This research evaluated the impact of climatic variability on agricultural land prices under different land uses in the Texas High Plains, employing the Ricardian approach of land climate pricing over a study period of 1991-2011. The results indicate that climatic variability had a greater impact on irrigated land prices as compared to dryland and ranchland. This study could be instrumental in predictive market analyses of rural land values in semi-arid economies which are vulnerable to future climate change.

What Drives Up Land Price in China?Evidence from Bidding Processes of Land Auctions in Beijing

The land price in big cities draws much attention and discussion for its skyrocketing appreciation.Most researches are from the macro perspective due to data restriction.This paper aims to investigate the critical factors in the price formation process of a land auction,using the listing auction micro bidding-level data in Beijing from 2013 to 2018.We construct a model for the relationship between quitting price and land,bidder's characteristics,housing market conditions and competitive intensity(including private and public signals),then we use OLS for identification.We find that competitive intensity increases the quitting price by causing competition and interaction between bidders.More importantly,we find evidence of cheating behavior in the land market.Results show that bidders have higher quitting prices when they are in a joint venture,and when a central SOE developer or a top 10 developer exist in the joint venture.We also find different behavior of developers in the short run and long run.Our research contributes to the literature of land auctions by analyzing the price formation process and developers'behavior.We also provide supporting evidence for the government to make adjustments of the auction system and identify the cheating developers.

Effect of land prices on the spatial differentiation of housing prices:Evidence from cross-county analyses in China

This study analyzes the spatial patterns and driving forces of housing prices in China using a 2,872-county dataset of housing prices in 2014.Multiple theoretical perspec-tives on housing demand,supply,and market,are combined to establish a housing price model to explore the impact of land prices on housing prices.The relative impacts of land prices on housing prices at different administrative levels are then analyzed using the geo-graphical detector technique.Finally,the influencing mechanism of land prices on housing prices is discussed.The main conclusions are as follows.(1)Housing prices have a pyra-mid-ranked distribution in China,where higher housing prices are linked to smaller urban populations.(2)Land prices are the primary driver of housing prices,and their impacts on housing prices vary over different administrative levels.To be specific,the effect of land prices is the strongest in the urban districts of provincial capital cities.(3)The internal influ-ence mechanisms for land prices driving housing prices are:topographic factors,urban con-struction level,the agglomeration degree of high-quality public service resources,and the tertiary industrial development level.The urban land supply plan(supply policies)is the in-trinsic driver that determines land prices in cities;through supply and demand,cost,and market mechanisms,land prices then impact housing prices.

Effects of land and building usage on population, land price and passengers in station areas： A case study in Fukuoka, Japan

This study uses multiple regression to investigate the effects of Land and building use on popuLation, Land price, and passengers. Initialty, we abstract annuat data on Land and buildings usage within a radius of 0 m-400 m for railway stations and 400 m-800 m for subway stations in Fukuoka, Japan by using the GIS. We then analyze the relationships between 13 factors of rand use and 8 factors of building usage, as well as the related poputation, Land price, and passengers using the quantitative expression method. Using several categories of land use and building usage as explanatory variables, we anatyze the degree to which the selected categories affect population, Land price, and passengers by using the muttiple regression method. This research can aid the further development of land and buitding usage in the future.

Analyzing the spatial autocorrelation of regional urban datum land price

This study focuses on spatial autocorrelation and the spatial distribution of urban land prices from a regional perspective.Taking Hubei province,China,as a case study area,spatial autocorrelation degree,spatial autocorrelation pattern,and the mechanism of its formation were discussed.The study employs Moran’s I,local Moran’s I,and Moran’s I correlogram to analyze spatial autocorrelation degree and its change along with contiguity order.Some local clustering hot spots are found.This paper uses semi-variance statistic for land price based on route distance to find the spatial autocorrelation scale.We also adopt spatial clustering based on a kind of composite distance to probe into the clustering characteristic of land prices.By Moran’s I and Moran’s I correlogram,we find that datum price of the cities in Hubei province has faint spatial autocorrelation degree at the first and the second-order contiguity.Spatial variance hints that the scale of the autocorrelation is about 200 km in route distance.Spatial clustering result indicates that the spatial distribution of city land price is a kind of hierarchy structure similar to administrative regions.From principal factors analysis and stepwise linear regression,we find that the value added of city secondary and tertiary industry and the urban population are two of the most influential factors to urban datum land price.The value added of city secondary and tertiary industry has higher spatial autocorrelation than urban datum land price and has a bigger autocorrelation scale.But urban population has little spatial autocorrelation.It can be inferred that the spatial autocorrelation of urban land price is mainly caused by economic spatial autocorrelation.But its spatial autocorrelation degree is lower than economic factors because urban datum land price is also influenced by other special local factors,such as population,city infrastructure,land supply,etc.

On Obtaining Datum Land Price By Using "Rent-Profit" Method

In this article the deficiency of "production function method" widely usedin present appraisal of land value in our country is analysed, and the application of theoret-ical method of deriving urban datum land value by "Rent-Profit Ratio Method", whichmight be used for reference in the fields of land administration performed by city govern-ments, the programmes of urban planning formulated by planning departments and fur-ther performing the study of land economics, is proposed.

Study on the Influencing Factors of Land Transfer Price in the Context of Rural Land Reform

Agricultural land is the key to large-scale agricultural management,and the transfer price is the key to the success or failure of land transfer. At present,there are many problems in the pricing of rural land transfer in China,such as low price,random pricing,and large price difference,which seriously hinder the development of rural land transfer. Drawing lessons from the research results of domestic and foreign scholars,combined with the actual situation of rural land transfer in China,this paper analyzes the influencing factors of land transfer price in the context of rural land reform. Finally,according to the influence of different factors on the behavior of agricultural land transfer,this paper proposes establishing and perfecting the evaluation system of contracted land,perfecting the evaluation institution of transferred land assets and establishing a unified dynamic monitoring system of land transfer price in the whole country,and then driving the broad masses of farmers to get rich together,which is of great significance to achieving the revitalization of China’s rural areas.

Analysis of the Price of Development Right of Agricultural Land in China

According to the viewpoints of predecessors, we define the signification of development right of agricultural land and connotation of the price of development right of agricultural land as follows: the development right of agricultural land is to change the former use nature of agricultural land, so as to become the right of construction use land; the price of development right of agricultural land refers to the price that is difference between the price of construction use land, and summation of the price of former agricultural land, the expense of developing agricultural land, the expense of management, and profit, after the agricultural land is transformed into non-agricultural construction use land. By using the principle of economics of land, this paper expounds the generation mechanism of the price of development right of agricultural land, namely the diversity of agricultural land use and the change of demand and supply of development right of agricultural land. The influencing factors of the development right of agricultural land are analyzed, and there are mainly the price of agricultural land, the price of construction use land, the contradiction of demand and supply of urban land, land use, and agricultural land.

LAND SUPPLY AND HOUSING PRICE:THE CASE IN HONG KONG

In this study we examine the relationship between land supply and housing price, percentage of land premium in the total government revenue and housing price, with reference to Hong Kong from 1981 to 1994. To do this we employ the Granger causality method to test the underlying hypothesis whether Hong Kong Government adopt high land-price policy. We use the first difference of data to ensure the stationarity in time series with the help of augmented Dick-Fuller unit root test. The results of the paper suggest no strong evidence to support the view that the land control of the government has caused soaringly rising housing prices. The findings also apparently implicate that the government has the revenue-maximizing behavior which is consistent with efficient allocation of resources.

An Analysis of the Factors that Affect Collective Construction Land Transfer Price: A Case Study of Yichang City

The transfer of the rural collective construction land is increasingly accelerating,and the factors affecting transfer price are manifold. In this paper,the research area is Yichang,and we establish hedonic price model to explore and analyze the factors which affect the collective construction land transfer price. The simulation results show that in geographical factors,the higher degree of prosperity,road accessibility and soundness of infrastructure will result in higher collective construction land transfer price; in economic factors,the higher farmers' per capita net income and added value of the village's tertiary industry will lead to higher collective construction land transfer price; in ownership factors,the integrity of usufruct,disposition and possession has increasingly significant impact on collective construction land transfer price. In the process of establishing rural collective construction land circulation market,the government should gradually improve conditions of collective construction land; strengthen the construction of the rural economy,improve the economic attribute of the collective construction land; establish and improve China's rural collective construction land-related laws and regulations,make the rural collective construction land use rights clear,and give the whole rights of occupation,use,earning and disposition.

Effects of Labor Price Hike and Population Ageing on Rural Land Lease in China

In answering the questions as whether China's rising labor price and ageing workforce have affected rural land leasing and whether these factors have any joint effect,we have employed RCRE data of the Ministry of Agriculture to carry out an empirical analysis and the result indicates that labor price hike has significant positive effects on both the land lease-in and lease-out of rural households,i.e.labor price hike will help increase the land leasing of rural households.At the level of ageing workforce,our empirical results indicate that ageing workforce does not create any significant impact on rural land leasing market no matter for land lease-in or lease-out in overall samples,plain regions and mountainous regions.In our empirical analysis on whether ageing workforce will intensify or weaken the effects of labor price hike on rural land leasing market,the regression result also indicates that there is no significant effect from a statistical perspective.