Determinants of Time on the Market Reference to Residential Land Market in Matara District, Sri Lanka

2015 ◽  
Author(s):  
B.A.R.N. Fernando ◽  
N.C. Wickramaarachchi
1992 ◽  
Vol 26 (2) ◽  
pp. 321-361 ◽  
Author(s):  
Eric Meyer

In this contribution I propose to examine an aspect of Sri Lankan agrarian history which is often alluded to but rarely studied in depth: the process of high land appropriation for the development of coffee, tea, rubber and coconut plantations. The development of a land market in the Indian subcontinent is becoming a promising field of research for the study of imperial impact as a process at work in specific contexts.The Sri Lankan case differs from the Indian one in that land appropriation was originally meant for and followed by large scale land alienation to outsiders–the planters. This process has attracted the interest of most historians writing on the history of the Raj in Ceylon, but usually the only aspect stressed has been the appropriation by the Colonial State of forest and chena(land devoted to slash-and-burn cultivation) for sale to British planters.


PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256710
Author(s):  
Pengfei An ◽  
Can Li ◽  
Yajing Duan ◽  
Jingfeng Ge ◽  
Xiaomiao Feng

Land prices are the key problem of urban land management, with prices of residential land being the most sensitive and the strongest social reflection among the different land types. Exploring spatial and temporal variation of residential land prices and the effect of land market factors on residential land prices can help the government formulate targeted regulations and policies. This study analyzes the spatial and temporal evolution of residential land prices and the factors influencing the land market in the Beijing-Tianjin-Hebei region based on land transaction data from 2014–2017 using exploratory spatial data analysis (ESDA) and a geographically weighted regression (GWR) model. The results show the following: ① Residential land prices in Beijing and Tianjin are significantly higher than those in other regions, while Zhangjiakou, Chengde, and western mountainous areas have the lowest residential land prices. Over time, a development trend of residential land price polycentricity gradually emerged, and the locational correlation has gradually increased. ② Under the influence of the land finance model of local governments in China, three factors, namely, the land stock utilization rate, revenue from residential land transfers, and the growth of residential land transaction areas, have significantly contributed to the increase in residential land prices. ③ Under the land market supply and demand mechanism and government management, four indicators, namely, the land supply rate, the per capita residential land supply area, the degree of marketization of the residential land supply, and the frequency of residential land transactions, have suppressed the rise in residential land prices. ④ The overall effect of land market factors on residential land prices in the central and northern regions of Beijing, Tianjin and Hebei is stronger than that in the southern regions, which may be related to the more active land market and stricter macromanagement policies in Beijing, Tianjin and surrounding areas.


1977 ◽  
Vol 13 (6) ◽  
pp. 401-408 ◽  
Author(s):  
A. J. Holsman ◽  
V. Aleksandric

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nishani Champika Wickramaarachchi ◽  
Seetha Kusum Chandani ◽  
Malka Thilini

Purpose Developing residential units is crucial in the socio-economic development of a country. The investor faces not only uncertain transaction price (price risk), but also uncertainties about the marketing period risk. Predicting when the incurred money is being realized is difficult because of the imperfect nature of the real estate market. Thus, the purpose of this study is to analyze the variables that explain the time on the market (TOM) of housing units, identifying the relationships in-between and the effects on TOM of residential properties. Design/methodology/approach Following a multi-stage sampling process, a random sample of 120 housing units was selected. Data were collected using a self-administered questionnaire. The questionnaire contained 57 variables that can affect TOM. Semi-structured interviews were conducted to confirm some of the data and information on residential units from the developers. Direct observations were conducted to verify certain physical attributes and, finally, they were comprehensively analyzed using quantitative analysis techniques in SPSS 16.0 Statistical package. Findings Results confirmed that lesser advertising prices, attractive environment, proximity to the city center and proper shape of lands reduce the TOM. Similarly, higher prices, longer distance to the city center and irregular shape of land increase the TOM. The results strengthen the necessity of a comfortable environment appropriate to live, probably with greenery or water bodies, which is a key influential factor that reduces the TOM in Sri Lanka. Originality/value wIn the Sri Lankan context, there are few contributions to the real estate literature in this regard. Many scholars have concentrated on physical and economic characteristics, whereas this research adds the environmental factors. Therefore, this research makes a significant contribution to the body of knowledge in this area, as it puts more attention on including several variables, as well as newly introduced variables as determinants. Consumers can apply the research findings to assess the relative importance of housing attributes and services which they perceive most valuable, and then to make their purchase decisions. The findings also contribute to the investigations of the behavior of housing attributes and enable knowing as to what factors are to be promoted and what to be omitted to gain a shorter TOM.


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