Search results

Modernization of a railway line connecting the urban and sub‐urban areas will normally result in a shift of the population from urban to suburban areas. This will affect the price gradient of residential prices of two connected stations on the railway line. The actual effect cannot be theoretically deduced. Results of empirical studies in the past are not conclusive. Lack of good quality data is one of the many reasons. This paper seeks to contribute to the understanding of this issue by a case study in Hong Kong. The KCR (Kowloon‐Canton Railway) runs from the CBD of Hong Kong to its sub‐urban area. Since August 1982, the trains have been powered by electricity instead of diesel. The modernization of the KCR has greatly improved its speed and capacity and has contributed to major improvement in public transportation between the urban and suburban areas. To assess the effects of this change, the price gradient of residential units between an urban and a sub‐urban station will be estimated from transaction records of properties in these two chosen locations on the railway line. Price influencing effects are controlled either by including them in the model, restricted sampling or other adjustment techniques. This method allows the net change in the price gradient before and after the improvement to be assessed. The results strongly suggest that improvement in public transportation have a negative effect on the price gradient along the railway line.

This paper aims to analyse the price gradient of apartments in the city of Bratislava with different measurements of travel time and distance to the city centre.

The price gradient is analysed by means of a hedonic price model. To overcome the problem with spatial autocorrelation in the data, the authors apply a spatial error model.

The paper provides empirical insights into the size of the price gradient in the city of Bratislava. In addition, it suggests that even in the case of a city with complicated urban structure, Euclidean distance is the best proxy for distance to the city centre and it is not necessary to use a more demanding distance calculation in hedonic price models.

Price gradients are usually analysed in western European or American cities whose urban structure differ from the cities in central and eastern Europe. This paper is the first in which the price gradient is estimated with different measurements of time and distance to the city centre using a spatial econometric model.

The division of labor of e-commerce transaction system is an important research topic. However, there is a certain disparity between the current mainstream research model and the reality, which leads to a biased result. This paper aims to find the effects of transaction efficiency on the evolution of e-commerce transaction system’s division of labor and the relationships between the results and other parameters.

This paper puts forward a definition of transaction efficiency based on transaction services and establishes a model of middleman’s specialized production decision of transaction services on this basis.

The research results show that the transaction efficiency plays an important role on the change of middlemen’s division of labor level. The degree of economic specialization, price of commodities and transaction services and other associated factors also affect middlemen’s division of labor.

This paper is of great significance for evaluating the development level and forecast the development direction of e-commerce.

The purpose of this study is to reveal the dynamics of house prices and sales in spatial and temporal dimensions across British regions.

This paper incorporates two empirical approaches to describe the behaviour of property prices across British regions. The models are applied to two different data sets. The first empirical approach is to apply the price diffusion model proposed by Holly et al. (2011) to the UK house price index data set. The second empirical approach is to apply a bivariate global vector autoregression model without a time trend to house prices and transaction volumes retrieved from the nationwide building society.

Identifying shocks to London house prices in the GVAR model, based on the generalized impulse response functions framework, I find some heterogeneity in responses to house price changes; for example, South East England responds stronger than the remaining provincial regions. The main pattern detected in responses and characteristic for each region is the fairly rapid fading of the shock. The spatial-temporal diffusion model demonstrates the presence of a ripple effect: a shock emanating from London is dispersed contemporaneously and spatially to other regions, affecting prices in nondominant regions with a delay.

The main contribution of this work is the betterment in understanding how house price changes move across regions and time within a UK context.

The purpose of this paper is to look forward to explore the links between projected rapid rates of agribusiness expansion and Africa's economic growth, equity and spatial development.

The paper draws inferences from 30 years of agribusiness value chain research in Africa.

Africa's agribusinesses stand poised for exceptionally rapid growth over the coming 40 years. Because of strong interdependencies between agribusiness and agriculture, productivity growth in agribusiness systems will critically affect Africa's overall economic growth rate, its spatial development patterns and progress toward poverty reduction. But the necessary efficiency gains in agribusiness performance will not appear automatically. They will require substantial private investments, a competitive private sector and heightened public attention in areas where governments have historically proven weak: promoting regional trade, improving town and regional planning, financing scientific research, funding higher education and building commercially viable rural financial systems.

Researchers can help by assembling empirical evidence in these topic areas and by examining value chain models that stimulate private sector investment, accelerate efficiency gains and facilitate access and egress by the poor.

Drawing on 30 years of value chain research in Africa, the paper examines links between agribusiness trajectories and economic growth, equity and spatial development.

This study aims to present a problem of noise compensation related to the localization of single-family houses in the restricted use areas (RUA) created around airports. The authors presented different methodological approaches to the valuation of such amends and characterized distinct solutions applied in that area in chosen countries and cities.

To estimate the level of those indemnities, linear models including spatial and generalized linear models, were applied. The set of explanatory variables contains quantitative and qualitative attributes of real estates. The influence of outliers indicated by means of cluster analysis on the received results were also considered.

The results show that after accounting for noise level and house characteristics, houses in noisier areas were sold for less than houses subjected to less noise. Unit prices of houses located outside the RUA were on average 17.05 per cent higher than the prices observed in zone with noise level for the daytime of 60 dB and 8.95 per cent in zone characterized by noise level for the daytime of 55 dB.

Received results can be compared with results obtained by other authors, but its most important application is possibility of use the proposed methodology by judicial appraisers to assess the proper level of noise compensation for home owners or tenants.

An identification of real estate market heterogeneity and its considering in estimation of compensation related to airport noise evidence some novelty of the research.

The classical land market model assumes a one‐workplace scenario. However, with the globalization trend, travel between two workplaces is becoming more and more common. This paper therefore aims to study the housing price gradient changes between Macau and Hong Kong to test the two workplaces hypotheses.

The temporal‐spatial difference of housing prices between the two neighboring cities are studied by using a two‐workplace residential location choice model.

This paper found that housing price gradient from Macau to Hong Kong is flattened when more non‐resident workers traveled from Hong Kong to Macau (ceteris paribus).

The results have important implications for polycentric city models and provide a novel method to study neighboring city effects on housing price.

This study aims to identify the pandemic’s impact on house rents by applying a rental gradient analysis to compare the pre-and post-COVID-19 periods in Auckland. The micro-level household census data from the Integrated Data Infrastructure of Statistics New Zealand is also applied to scrutinise this WFH trend as a robustness check.

Since the outbreak of COVID-19, work-from-home (WFH) and e-commerce have become much more common in many cities. Many news reports have contended that households are leaving city centres and moving into bigger and better houses in the suburbs or rural areas. This emerging trend has been redefining the traditional theory of residential location choices. Proximity to central business district (CBD) is no longer the most critical consideration in choosing one’s residence. WFH and e-commerce flatten the traditional bid rent curve from the city centre.

The authors examined micro-level housing rental listings in 242 suburbs of the Auckland Region from January 2013 to December 2021 (108 months) and found that the hedonic price gradient models suggest that there has been a trend of rental gradient flattening and that its extent was almost doubled in 2021. Rents are also found to be increasing more in lower-density suburbs.

The results imply that the pandemic has accelerated the trend of WFH and e-commerce. The authors further discuss whether the trend will be a transient phenomenon or a long-term shift.

Suppose an organisation is concerned about productivity and performance issues due to a companywide ability to WFH. In that case, some standard key performance indicators for management and employees could be implemented. Forward-thinking cities need to focus on attracting skilful workers by making WFH a possible solution, not by insisting on the primacy of antiquated nine-to-five office cultures.

WFH has traditionally encountered resistance, but more and more companies are adopting WFH policies in this post-COVID era. The early rental gradient and the micro-level household data analysis all confirm that the WFH trend is emerging and will likely be a long-term shift. Instead of resisting the change, organisations should improve their remote work policies and capabilities for this WFH trend.

So far, empirical studies of post-COVID urban restructuring have been limited. This study aims to empirically test such an urban metamorphosis by identifying the spatial and temporal impacts of COVID on house rental gradients in the Auckland Region, New Zealand. The authors apply rental gradient analysis to test this urban restructuring hypothesis because the method considers the spatial-temporal differences, i.e. a difference-in-differences between pre-and post-pandemic period against the distance measured from the city centre. The method can control for the spatial difference and the endogeneity involved.

This study aims to examine the impact of relative importance of local characteristics, distance from the city centre and unobservable spatial relation in explaining values of constant‐quality apartment units in Vienna.

Drawing on recent developments in spatial econometrics and spatial hedonic house price modelling, the rent gradient hypothesis is examined by means of hedonic regression and spatial hedonic regression. Spatial autocorrelation tests are applied in order to assess possible presence of spatial dependence. The authors borrow Florax et al.'s specification search strategy in order to choose the most appropriate spatial model specification.

This research shows that local characteristics – or particularities – proxied by district and distance from the city centre are important location variables with regard to the Viennese apartment market. The spatial analysis suggests that the apartment prices are spatially autocorrelated and the Viennese apartment market has a distance‐based neighbourhood structure. The main finding is, however, that residents are willing to bid more for constant‐quality apartment units that are close to the centre of the city.

Rent gradient hypothesis is usually tested within non‐spatial hedonic frameworks: this study estimates a spatial hedonic model additionally in order to allow for comparison of results. This is also the first article to apply recent developments in spatial econometrics to examine explicitly rent gradient theory in the context of the Viennese apartment market.