Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China

Wen, Haizhen; Gui, Zaiyuan; Tian, Chuanhao; Xiao, Yue; Fang, Li

doi:10.3390/su10072254

Cited by 49 publications

(36 citation statements)

References 57 publications

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“…Various models have been used to support hedonic analyses in the literature, and the general conclusion is to choose a suitable model specification based on the objective and data of research [40]. However, it is expected that the hedonic price function is non-linear and many studies use a logarithmic transformation of the dependent variable for estimation [42][43][44]. Considering that some origins may be well known for certain oil products, we add interaction terms between variety and origin variables in the equation, of which the variables and their coefficients are also vectors.…”

Section: Emprical Modelmentioning

confidence: 99%

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The Promising Effect of a Green Food Label in the New Online Market

2019

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Although public interest in sustainable and safer products have steadily risen worldwide, research has shown a difference between consumer’s willingness to purchase, and actual purchasing behavior, for which two main explanations exist, including a lack of accessibility and a poor knowledge of related attributes. Fortunately, the emergence of online food markets may improve this situation through convenient accessibility to sustainable food and detailed description about sustainability labels. This research uses a hedonic price analysis to compare the price premiums for the sustainability attribute in Chinese online and offline markets, using edible oil as a case. The specific objective is to test the different values of a sustainable attribute, a green food label, in two types of markets. Results show that the green food attribute could gain a price premium in the online market but not in the offline market, indicating the importance of the online channel for sustainable food sale in China. A big price mechanism difference between online and offline markets is also found, with regard to attributes of production method, variety, place of origin, packaging, and discount. These results provide a guide for firms’ pricing strategies in online and offline markets.

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Section: Emprical Modelmentioning

confidence: 99%

“…The quantile approach helps us analyze the edible oil attribute market value across different products' price levels. Quantile regression has been used in several hedonic analysis studies, such as Costanigro, et al [46], and Wen, Gui, Tian, Xiao and Fang [44]. Table 2 shows the OLS estimation results for the pooled sample for Equation 3.…”

Section: Emprical Modelmentioning

confidence: 99%

The Promising Effect of a Green Food Label in the New Online Market

2019

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“…Wang et al [3] determined that no evident segmentation on the housing market was caused by Shanghai Metro, although the Shanghai Metro resulted in a rental premium. While Wen et al [12] discovered that the capitalisation effect of Hangzhou subway has apparently affected the spatial distribution of housing prices. Hence, the results from different areas may vary.…”

Section: Capitalisation Effect Of Urban Public Facilities On Housing mentioning

confidence: 99%

“…The majority of previous studies conducted empirical studies to explore the capitalisation effect of public facilities on the housing market in certain areas or at a certain time. Accordingly, varied results may be generated at different time points in the same area [11], or presented in different areas [3,12]. However, previous studies have rarely considered the fact that the supply and demand for public facilities vary depending on the type of facilities.…”

Section: Introductionmentioning

confidence: 99%

“…Peng and Chiang, Wang et al and Wen and Tao [3,11,56] found that as high-quality medical resources, the higher the spatial accessibility of grade-A tertiary hospitals are, the more evident the value-added effect on houses are. Wang et al and Wen et al [3,12] discovered that since the layout of metro stations is spatially unbalanced, the closer houses are to the metro station, the higher housing prices will be. Municipal parks and river-views [26,46] as high-quality and scarce landscape endowments, make an obvious value-added effect on houses in the vicinity.…”

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Does the Difference in Urban Public Facility Allocation Cause Spatial Inequality in Housing Prices? Evidence from Chongqing, China

2019

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The current study argues that the capitalisation effect of urban public facilities on housing will be considerable when the accessibility or availability of facilities has a serious stake in the location or property rights of houses. The supply level and supply quantity of urban public facilities determine whether there is a significant difference in the accessibility or availability of facilities amongst neighbourhoods, and subsequently determines whether the capitalisation effect of facilities on surrounding houses is considerable, which ultimately affects the spatial inequality in housing prices (i.e. spatial dispersion of housing prices). However, previous studies have rarely considered the fact that the supply and demand of urban public facilities vary with the type of facilities. Thus, according to the law of diminishing marginal utility, the current study proposes a theoretical framework for the impact of the allocation of urban public facilities at different supply levels on the spatial inequity in housing prices and verifies this through a case study. Results indicate that the difference in urban public facility allocation caused by the unequal supply quantity or unbalanced spatial distribution has a notable impact on the spatial inequality in housing prices. There are three states of allocation of urban public facilities available according to different supply levels, namely, disequilibrium, quantitative equilibrium and spatial equilibrium:(І) Scarce and high-quality public resources that may always be in the disequilibrium state create a substantial capitalisation effect on nearby housing, and their presence will aggravate spatial inequality in housing prices; (П) Public facilities that can only reach the quantitative equilibrium state have a considerable capitalisation effect on nearby housing, and their supply densities have a positive impact on the spatial inequality in housing prices; (Ш) Public facilities in the spatial equilibrium state have a negligible capitalisation effect on nearby housing, and their supply densities have a negative impact on the spatial inequality in housing prices. Therefore, it is reasonable to argue that urban public facilities at different supply levels have a diversified impact on the housing market. This study can contribute to having a comprehensive and in-depth understanding of the diversified impact of urban public facilities on the housing market.

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Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map

Malhotra

White

Cruz³

et al. 2021

Campbell Systematic Reviews

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Background There are great disparities in the quantity and quality of infrastructure. European countries such as Denmark, Germany, Switzerland, and the UK have close to 200 km of road per 100 km2, and the Netherlands over 300 km per 100 km2. By contrast, Kenya and Indonesia have <30, Laos and Morocco <20, Tanzania and Bolivia <10, and Mauritania only 1 km per 100 km2. As these figures show, there is a significant backlog of transport infrastructure investment in both rural and urban areas, especially in sub‐Saharan Africa. This situation is often exacerbated by weak governance and an inadequate regulatory framework with poor enforcement which lead to high costs and defective construction. The wellbeing of many poor people is constrained by lack of transport, which is called “transport poverty”. Lucas et al. suggest that up to 90% of the world's population are transport poor when defined as meeting at least one of the following criteria: (1) lack of available suitable transport, (2) lack of transport to necessary destinations, (3) cost of necessary transport puts household below the income poverty line, (4) excessive travel time, or (5) unsafe or unhealthy travel conditions. Objectives The aim of this evidence and gap map (EGM) is to identify, map, and describe existing evidence from studies reporting the quantitative effects of transport sector interventions related to all means of transport (roads, rail, trams and monorail, ports, shipping, and inland waterways, and air transport). Methods The intervention framework of this EGM reframes Berg et al's three categories (infrastructure, prices, and regulations) broadly as infrastructure, incentives, and institutions as subcategories for each intervention category which are each mode of transport (road, rail trams and monorail, ports, shipping, and inlands waterways, and air transport). This EGM identifies the area where intervention studies have been conducted as well as the current gaps in the evidence base. This EGM includes ongoing and completed impact evaluations and systematic reviews (SRs) of the effectiveness of transport sector interventions. This is a map of effectiveness studies (impact evaluations). The impact evaluations include experimental designs, nonexperimental designs, and regression designs. We have not included the before versus after studies and qualitative studies in this map. The search strategies included both academic and grey literature search on organisational websites, bibliographic searches and hand search of journals. An EGM is a table or matrix which provides a visual presentation of the evidence in a particular sector or a subsector. The map is presented as a matrix in which rows are intervention categories (e.g., roads) and subcategories (e.g., infrastructure) and the column outcome domains (e.g., environment) and subcategories as (e.g., air quality). Each cell contains studies of the corresponding intervention for the relevant outcome, with links to the available studies. Included studies were coded according to the interve...

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Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China

Cited by 49 publications

References 57 publications

The Promising Effect of a Green Food Label in the New Online Market

The Promising Effect of a Green Food Label in the New Online Market

Does the Difference in Urban Public Facility Allocation Cause Spatial Inequality in Housing Prices? Evidence from Chongqing, China

Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map

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