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1

Lai, Siu-fun Rita, and 黎少芬. "Housing price and government land policies." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31258256.

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2

Lai, Siu-fun Rita. "Housing price and government land policies /." [Hong Kong : University of Hong Kong], 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13781297.

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3

Li, Ling-hin. "The privatisation of land use rights in China : an evaluation of land price behaviour in Shanghai's land market /." [Hong Kong] : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B16121521.

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4

Agnello, Tim Joseph. "Land Use and Landsliding in Price Hill, Cincinnati, Ohio." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1018293568.

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5

Miller, Crystelle Leigh. "The price-size relationship: analyzing fragmenation of rural land in Texas." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4911.

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According to the USDA, Texas leads all other states in the loss of rural farming and ranching land. Most research on rural land value has been associated with trying to explain price per acre movements, yet few studies have analyzed the relationship of market factors such as size on the total purchase price. This research focused on the parcel size and price per acre relationship that exists for Texas rural lands. The objective of this research was to examine the relationship between size and price per acre of land parcels sold in Texas and to analyze the presence of fragmentation of agricultural lands. Data on Texas land sales of parcels greater than ten acres from 1965-2004 were used. The relationship between price per acre and parcel size was analyzed for Texas as a whole and for eight separate farmland regions. Each region was analyzed over eight time periods to test for changes in the land market for different periods. The results indicated a statistically significant inverse relationship between price per acre and parcel size which held in all eight regions and each of the eight five-year time periods. Personal income of the buyers had a greater influence on price per acre than net farm income. Fragmentation was verified by comparing percent of sales in eight categories of acres sold, ranging from 10 acres to over 1,280 acres. Over the time period 1966-2004, the percent of sales for smaller parcels, 21-40 acres, increased and for moderate size parcels, 81-320 acres, the percent of sales decreased. The increase in percent of sales for smaller parcels and the conversion of moderate size parcels of 81-320 acres into less than forty acre parcels, suggests that fragmentation has occurred. Furthermore, the percent of sales for parcels larger than 320 acres increased over the time period which mitigated the effects of fragmentation.
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6

Chan, Wing-wai Jeannette. "A study of factors influencing residential land price in Hong Kong (1978-1988)." [Hong Kong : University of Hong Kong], 1990. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13064940.

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7

Li, Ling-hin, and 李寧衍. "The privatisation of land use rights in China: an evaluation of land price behaviour in Shanghai's landmarket." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31234288.

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8

Huang, Yikun, and 黃逸昆. "Land supply elasticity and the housing price sensitivity to interest rate." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/197542.

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In Hong Kong, housing prices have increased significantly in recent years. Amongst all the reasons for such significant increase, low interest rate has been recognized as one of the major reasons. Many studies have provided empirical evidence to support the negative relationship between interest rate and housing prices. However, in the US, recent studies (Glaeser, Gottlieb and Gyourko, 2010; Kuttner, 2012) show that the observed effect of interest rate changes on housing prices is much less than that predicted by the standard user cost model. According to the Glaeser et al. (2010), there are three potential explanations for the low housing price sensitivity to interest rate fluctuation. First, increase in land (and therefore housing) supply elasticity can reduce the effects of the demand-side variables, including interest rate. Second, high risk premium for long term mortgage rate in the US makes housing prices less sensitive to changes in interest rates. Third, the long-term mortgage contracts in the US cannot reflect the impact of frequent short term interest rate fluctuation. Among these three potential hypotheses proposed to explain the lower than expected housing price sensitivity to interest rate changes, land supply elasticity is more relevant to Hong Kong. By focusing on Hong Kong’s housing market, this thesis examines the relationship between land supply elasticity and the sensitivity of housing prices towards interest rate changes. When demand shift due to interest rate change, land supply (and therefore housing supply) may respond accordingly to reduce the impact of interest rate change. The more elastic the supply is, the weaker the housing price sensitivity to interest rate may be. Alternatively, housing prices are more sensitive to interest rate change when land supply is inelastic. To be more precisely, this study provides an empirical test on whether land supply elasticity reduces housing price sensitivity towards interest changes. Two approaches are applied to provide clear pictures of housing price sensitivity. First, data from different housing subsectors with different land supply elasticity are used for the empirical tests. The results show that prices of large units in the Hong Kong Island are significantly more sensitive to interest rate change, compared to those of small units in the New Territories. This is consistent with the implication of our hypothesis because new land for building luxurious units in Hong Kong Island is limited while there are relatively more lands available in the New Territories for smaller mass residential units. Second, in Hong Kong, all new land supply comes from the government in the form of leasehold land. Hence, government’s land supply policy has a major impact on land supply elasticity. For example, there was a period of restricted land supply before the handover in 1997, which effectively reduced land supply elasticity. On the other hand, the Application List land sales system adopted by the Hong Kong government from 2000 to 2013 should increase the flexibility in land supply. Therefore, this study makes use of these policy changes as nature experiments to investigate the effect of land supply elasticity on housing price sensitivity towards interest fluctuation. The results show that housing prices are more sensitive to interest rate change during the land supply restriction period and more insensitive when the Application List was used for land sales.
published_or_final_version
Real Estate and Construction
Doctoral
Doctor of Philosophy
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9

Cheung, Yuk-yi Alice. "Land supply and housing price of Hong Kong : implication for urban planning /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B18565281.

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10

Cheung, Yuk-yi Alice, and 張玉儀. "Land supply and housing price of Hong Kong: implication for urban planning." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B43893703.

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11

Zhang, Han. "Price dependency and spillover effects in global crude oil markets." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/41171/.

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The content of this thesis is the result of a comprehensive study about global spot crude oil markets. Using a large data set including 32 crude varieties, this thesis analyzes price dependency, return and volatility spillover effects, and explores the driving forces behind such spillover effects. The first major aim of the thesis is to detect the presence of structural breaks in the price dependency relationship found in the literature (Wlazlowski et al., 2011). Tests allowing for structural breaks are applied to re-examine unit root test, cointegration test and causality relationships. The results show significant structural breaks in all tests. However, the basic conclusions of unit root tests and cointegration tests are still valid in accounting for structural breaks, while the causality relationship is greatly influenced by the 2008 global crisis, making the conclusion of Wlazlowski et al. (2011) that the Russian Urals could serve as a potential benchmark invalid when using a longer sample period. The second topic of investigation is the return and volatility spillover effects in the spot crude oil market. By applying a VAR forecast error variance decomposition method (Diebold and Yilmaz, 2012), various spillover measures are constructed. Static analysis shows that the majority of the total variance of the forecast error is explained by shocks across markets rather than by idiosyncratic shocks (87.1% for return and 80.57% for volatility), therefore supporting the integration hypothesis in the global crude oil market. Moreover, benchmark crudes play a key role in terms of return spillovers, possibly due to the pricing formula mechanism in the spot crude oil market. In terms of volatility, WTI behaves as a dominant transmitter. This is attributed to the 2008 global financial crisis, which originated in the United States. Dynamic analysis shows that return and volatility spillover indexes have different patterns. Return spillovers display gradual trends but no bursts, while volatility spillovers display clear bursts that correspond closely to events in the crude oil market. Further dynamic analysis was applied at individual, pairwise and group levels. Generally a time-varying characteristic of spillovers is found. The third topic of analysis explores the driving forces behind spillover effects which are identified in the second chapter. Five categories of variables were selected to explain the spillover effects. These are international trade variables, fundamental economic variables, country risk variables, global risk factors and time trends. These variables are found to be more relevant for return spillovers than for volatility spillovers, and more relevant for non OPEC countries than for OPEC countries.
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12

Jiang, Bo. "OPPORTUNITY COST OF LAND AND URBAN GROWTH." UKnowledge, 2011. http://uknowledge.uky.edu/economics_etds/1.

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This study examines the impact of the opportunity cost of urban land on urban growth. Based on prices, costs and productivity data on agricultural commodities at county levels, the opportunity cost of land was measured by the weighted revenue, cost, and government payment per acre of farm lands. Aggregating county data to metropolitan area levels, a panel data for 269 metropolitan areas from 1978-2000 were constructed. This study found that, as predicted by the theory, cities grow slower when revenue increases or cost decrease in the area. The impact of commodity program payment was also examined. Our results show that price shocks and agricultural subsidies do have an instantaneous impact on urban growth by a ecting the opportunity cost of urban land.
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13

Karjalainen, T. (Tapio). "Puutavarayhtiöiden maanhankinta ja -omistus Pohjois-Suomessa vuosina 1885 - 1939." Doctoral thesis, University of Oulu, 2000. http://urn.fi/urn:isbn:9514256247.

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Abstract The aim of this work was to determine the extent of land ownership by companies in Northern Finland over the period 1885-1939, what companies acquired land, what prices they paid for it and the reasons for them doing this. Attention is also paid to the general and regional causes of these sales of land. The perspective adopted is largely that of the industrial sector, so that the economic and social repercussions are deemed to lie beyond the scope of this work, and even the immediate consequences of the purchases of land are touched on only in passing. The timber companies were most active in acquiring land in 1900-1920, over which period their holdings increased more than 6-fold (from 79 690 ha to 513 450 ha). In 1915 the companies owned 3.6% of the total surface area of Northern Finland, 8.8% of the private land and 5.7% of the total number of farm or forest properties. The land holdings of the timber companies decreased from 1920 onwards and became established at around 450 000 ha in the 1930s. This took place through the companies releasing land for settlement purposes, either voluntarily or under the Land Restoration Law of 1925, seeking in this way to rid themselves of land that was of no use to them. The chief focus of purchases of land by the timber companies in Northern Finland was in Kainuu, where they owned a total of 292 820 ha at the peak in this trend, in 1920. Over the period 1915-1939 about 60% of the land owned by such companies in Northern Finland was situated in Kainuu, and even by 1915 they had acquired about 27% of all the privately-owned land in the region. The main reason for the timber companies' interest in purchasing land was the expansion in sawn timber production, which meant that the volume of timber required for this purpose increased from 2.6 million stems in 1870 to 34 million by 1910. At the same time the pulp and paper industries were also stepping up production. There was a fear that Finland's forest reserves would be exhausted by this level of utilization. At the time of this great expansion in the forest industries the peasant farming population of Finland were still living at a more or less subsistence level. Productivity in agriculture was low, poverty and years of crop failure tried the limits of human endurance, and there were few opportunities for the farmers of Northern Finland to gain anything in the way of an income. One possible means of raising some cash was by selling timber from one's forest or undertaking lumbering work, and another was to sell one's whole farm to a timber company. Gradually a situation arose in which the peasant farmers became anxious to sell forest land and the industry was eager to buy it. The most prominent landowners were the trading houses of Oulu. Their land ownership was transferred in 1912 to Ab Uleå Oy, whose landed property was over 200 000 ha at its peak. Another prominent landowner was Puutavara Osakeyhtiö Kemi with its 75 000 ha of land. From 1925 onwards the companies' land ownership was concentrated in the hands of three major owners owing to selling and buying of land between the companies. Kajaanin Puutavara Osakeyhtiö owned 223 000 ha, Puutavara Osakeyhtiö Kemi 84 000 ha and Kymmene Ab 36 600 ha. The companies cannot be accused of having been dishonest in their buying of land. A market price was formed to woodland, and this price determined the value of the forests. The state also exercised some influence on the market price by selling its own forests.
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14

Bezák, Marian. "Vývoj cen zemědělských pozemků." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-414143.

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The diploma thesis analyzes the development of agricultural land prices examines the development of agricultural land in the Hodonín district in 2015-2018. Three databases of comparative samples are created for the thesis - according to the source (realized sales, execution sales and offer sales), which are subsequently analyzed and examined. The result is our own findings and conclusions, including the price index, which are compared and confronted with public aggregated data.
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15

Soares, Abilio Barros. "Crop Price and Land Use Change: Forecasting Response of Major Crops Acreage to Price and Economic Variables in North Dakota." Thesis, North Dakota State University, 2015. https://hdl.handle.net/10365/27685.

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The objective of this study is to examine land use change for cropping systems in North Dakota. Using Seemingly Unrelated Regression with full information maximum likelihood estimation method, acreage forecasting models for barley, corn, oats, soybean, and wheat were developed to examine the extent to which farmers? expectations of prices and costs affect their crop choices. The results of the study show that farmers? decision for acreage allocation is varied across the crops depending on how responsive they are to price, cost and yield of its own and competing crops. Substitutability and complementarity relationship of crops in the production have positive effect on crops selection when facing price, cost, and yield changes. In addition, the results revealed that expected prices have little effect on acreage response compared to expected costs and yield variables in most of the crop models.
IIE team Fulbright sponsorship
North Dakota State University. Department of Agribusiness and Applied Economics
National Science Foundation (NSF). Grant Number IIA-1355466
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16

Chan, Wing-wai Jeannette, and 陳永慧. "A study of factors influencing residential land price in Hong Kong (1978-1988)." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B31979695.

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17

Chang, Sze-ming Lawson. "Examination of land use policies, household income and price of small residential units in Hong Kong (1985-1995)." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25803621.

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18

Yamazaki, Ritsuko 1970. "Empirical testing of real option-pricing models using land price index in Japan." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/70732.

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Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2000.
Includes bibliographical references (leaves 66-68).
The purpose of this research is to examine the way uncertainty plays a role in built land prices. This paper provides basic real option pricing models of land prices on the demand side in central Tokyo. The model in this research analyzes micro land prices covering individual lot data provided by the Land Price Index. Since land prices are determined by both macro economic environment and micro lot-specific attributes, this paper utilizes both time-series economic data and cross-sectional lot-specific data. The model incorporates both time-series (macro) and cross-sectional (micro) data including uncertainty terms. In addition to the total uncertainty in asset prices, this research also gives some ideas of cross-sectional uncertainty in land price variations by utilizing cross-sectional amenity variables. These cross-sectional and time-series variables including these two uncertainty variables are pooled and the OLS method is conducted. The data set consists of 4,368 land price data from 1985 through 2000. The results from the option-based models favor the application of the real option theory in land prices. The total uncertainty with respect to built asset return has a substantial effect on increasing land prices, which implies that an increase in uncertainty leads to an increase in land prices.
by Ritsuko Yamazaki.
M.C.P.
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19

Amitabh, F. "Residential land price changes in selected peripheral colonies of Lucknow City, India, 1970-1990." Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385650.

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20

Yongphrayoon, Auchariya. "Hedonic price models and GIS for mass land valuation in the Bangkok metropolitan region." Thesis, University of London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.589417.

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This research aims to compare econometric models based on hedonic pricing methods, with traditional methods and to evaluate the utility of geographical information systems (GIS) for construction and analysis of land value models. Land values explicitly have an influence on local environment, community development and taxation, as well as urban planning policy. This research applies multiple regression analysis as an econometric tool based upon hedonic pricing methods to identify models and significant variables influencing land prices. The research areas of seven square kilometres contained over 15,000 land parcels in Nong Khaem district, one of the western districts of Bangkok, and in Bang Bua Thong, the western district of Nonthaburi province. The research sample included 1,999 sales data of properties purchased during three consecutive years. Their details were gathered by both on-site observation and investigation methods. The purchased prices of sales data were gained directly from face-to-face interviews with local dwellers and organisations. Data collection employed quantitative and qualitative research methods. The qualitative variables are defined and measured based upon questionnaire responses of 127 local professionals and non-professionals. Sales data collection forms concerning land sales were used for gathering selling prices and their attributes. Over 3,000 land plots or a quarter of the total land plots in the research areas were tested to estimate land values based upon two hedonic price models selected from the 12 models that were developed. To evaluate the utility of geographic information system, spatial and non-spatial data were derived from a variety of secondary sources. These data were integrated together by a parcel identification number (PIN). Surface response and spatial models were employed to visually demonstrate how GIS are able to support mass land evaluation tasks in the Bangkok metropolitan region. The results of the research provide valuable information and evidence to support policy makers and other relevant organisations as well as private sector organisations involved in urban development, environmental and public administration, and management regarding benefits of the hedonic price models and GIS comparing with the traditional method for mass land valuation in Thailand. 3 ••
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21

Deak, C. "Rent theory and the price of urban land : Spatial organization in a capitalist economy." Thesis, University of Cambridge, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.355009.

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22

Song, Sangmin. "Foreign firms, price competition and entry decisions : evidence from the Korean experience." Thesis, University of Warwick, 2006. http://wrap.warwick.ac.uk/84027/.

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This thesis studies the competitive role of foreign firms in the host economy. While the popular belief is that foreign firms act as new competitive forces in the host economy, many observers argue that the essence of oligopoly will prevail without foreign firms having any significant impact on competition. To decide which argument is more realistic, this thesis conducts three empirical studies: one on the impact of foreign acquisition on price competition, one on the competitive effect of greenfield FDI firms, and lastly one on entry decisions. The first chapter sets up the main hypotheses to be tested, and briefly outlines the thesis. Chapter 2 investigates the impact of foreign acquisition on price competition, utilizing the sharp contrast in foreign firms’ roles before and after foreign entry in several Korean industries. The estimation strategy is to compare the level of market competitiveness between the two periods through the response of prices to marginal costs. Largely the empirical findings do not support the popular belief. Chapter 3 examines the effect of greenfield FDI firms on price competition, employing the empirical opportunity offered by the grocery superstore sector in Seoul. Focusing on the existence of difference or rivalry between domestic and foreign firms, I develop more specific hypotheses: foreign firms are more competitive in their pricing policies; in response, domestic firms adopt more competitive pricing strategies; as a result, the price competition is fiercer where foreign firms have entered. The findings indicate that there is no difference or rivalry between foreign and domestic chains. Chapter 4 investigates firms’ entry behaviour to infer the underlying nature of competition between foreign and domestic firms. For the test, I utilize entry decisions observed in the Korean grocery sector, which is a fast-growing industry. I check how differently foreign firms behave compared to their domestic counterparts and how they react to each other, using the latent regression of entry decisions. Intense rivalry among large chains in general is found, rather than the rivalry between domestic and foreign chains, implying that foreign firms behave as a member of an oligopoly group rather than as a kind of maverick. Chapter 5 contains some concluding remarks, and discussions on the limitations of the study and possible future work.
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23

Zhang, Wendong. "Three Essays on Land Use, Land Management, and Land Values in the Agro-Ecosystem." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437656707.

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24

Dvořáčková, Lenka. "Posouzení vlivu územního plánování na cenu pozemků ve Zlínském kraji." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-232502.

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The thesis is focused on setting market (current) land price and land price according to the rules of valuation. Lands are selected in non-structural locations and locations designed to be constructed at selected stages of landscape planning. Based on gained results was made a comparison of how can be the administrative and current price affected by various stages of landscape planning. I assessed what causes this difference and also how is the price affected in case of networking.
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25

Lukaševič, Pavel. "Posouzení vlivu územního plánování na cenu pozemků v Olomouckém kraji." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-232469.

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My diploma work is focused in evolution land price on dependence input landscape preparedness. My investigation was made in three locations. The locations will be used for production, commerce and housing. I assested what cause the diference and price trends.
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26

Aleknavičius, Marius. "Modeling the evolution of agricultural land markets." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20071204_101606-14316.

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This is a summary of doctoral dissertation. Dissertation represents analysis of agricultural land markets development. The analysis was performed by proposing a complex analytical model system and applying it for the investigation of land market development and evolution in Lithuania.
Tai yra daktaro disertacijos santrauka. Disertacijoje pateikiama žemės ūkio paskirties žemės rinkų raidos analizė, pagal apžvelgtą teorinę medžiagą pasiūlant kompleksinę tyrimų schemą ir pritaikant ją Lietuvos žemės rinkos kūrimuisi ir vystymuisi tirti.
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27

Maňásek, Petr. "Povolování terénních úprav a jejich návaznost na oceňovací předpisy." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-241333.

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This thesis deals with landscaping issues from the legal standpoint and evaluates the influence of landcaping on the price of estate according to legislative assessment and standard price in the Stare Mesto region.
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28

Ting, Wai-ding Percy, and 丁惠定. "Property price is independent of the amount of land supply: a case study of Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31269278.

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29

Ting, Wai-ding Percy. "Property price is independent of the amount of land supply : a case study of Hong Kong /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19873700.

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30

Chien, Su-Hsia, and 簡素霞. "A Study on Land Price Assessment of Military Land Release." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/73273690047655572899.

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碩士
逢甲大學
土地管理所
95
Abstract The Ministry of National Defense is examining the feasibility of releasing military land in stages. It is therefore important to establish effective criteria for assessing the mode of land release. Before land that has been deemed unsuitable by the military can be released to the public, the characteristics of lots, the location and the districts must be taken into consideration. In this study, the real market price of military land and the current assessed value of 45 barracks have been referenced to build a hedonic price function using regression analysis and GIS processing. The potential influence of land price as measured by substantive environmental characteristics and position condition has been estimated. The assessment index and the weight of the index have been established to account for the score of each piece of military land. Finally, orders were released. The results showed that it is simpler, to access the release orders directly using the current assessed land value than using the real market price of the land. However, a comparison of the results revealed that the real market price of land is more suitable at the present time. It has brought that, using the hedonic price function model to discuss the effect of land price by kinds of attribute factors then to assess the release orders of military land is truly feasible. This study has shown that the characteristics of lots, the location and the attributes of districts form the true price of military land. Therefore, all factors should be taken into consideration when estimating the value of military land in the future.
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31

YANG, JIN-DE, and 楊金德. "Dividing a rectangular land using numerical method weighting with land price." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/45983060881380483961.

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32

Yu, Bo-Chiao, and 余博樵. "The Impact of Land Value Increment Tax Rate on Land Price." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/84041554479897227395.

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碩士
長榮大學
土地管理與開發學系碩士班
100
As the population increases, the availability of land is geting fewer. Result the land market prices are rise. In order to curb the speculative monopoly of the land market, the Government attempting to stabilize it by the imposition and adjustment of land value increment tax. In 1990s, in view of the real estate market downturn, the land value increment tax decline significantly. Review the reason of the real estate market downturn, the land value increment tax rate has become the causes of the market transactions inactively. Factors affecting of the land price, can be according to different criteria for the classification of distinguished different types. Most studies using multiple regression analysis, ther are fewer considering the impact variable between different sectors of discussion. In addition to exploring of the different regions background, exploring the establishment of a hierarchical relationship. And explore the land value increment tax and the other factors that impact on land price, and use hierarchical linear modeling estimated the land value increment tax on land price. In this study, use the hierarchical linear model to explore the relationship between hierarchism. This study use the government issued statistics since 1999 to 2010 years. Selection factors of level distinction as the regional level and the general environment level to empirical analysis. The empirical results shows that the hierarchical relationship between the factors affecting of the land price, as required by the hierarchical linear model analysis. Further analysis revealed that the regional level factors and the general environment factors have moderating effects, and there is reciprocation between hierarchism. Finally, comparing to the hierarchical linear modeling and regression models, estimate of the results of the hierarchical linear model can be used to forecasts more accurate of each sample.
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33

TENG, SHENG WEN, and 鄧勝文. "Land Price Decision Making of Housing Construction Developers." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/33741127097321851474.

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碩士
長榮大學
土地管理與開發學系碩士班
103
Because of the narrow land and dense population in Taiwan, land is the primary cost in proposing a construction or real estate project. In addition, land is an immovable property that exhibits extremely complex development processes. High amounts of costs and a certain development time are required to develop land. Moreover, the developed value is influenced by economic development, economic cycles, change in consumer preferences, and varying interest rates. To identify the decision-making model for land price, construction project price setting, and land development, we used an interview method to collect primary data. Developers who launched and owned construction projects in the last five years were invited to participate in the interview regarding the prices setting of land and construction projects, as well as their considerations and market judgment conditions. The conclusion is provided as follows: 1. Regarding the factors of construction project price setting by the developers, mutual effects were observed among land cost, construction project cost, and construction project price setting. 2. In deciding the land price and construction project price, public policy was a primary risk that affects land prices. 3. Internal decision-making behavior regarding price setting of land development construction projects by developers exhibited equal importance between human factors and professional factors.
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34

Lu, Fu-Tsai, and 盧福財. "Case-based Reasoning Model for Land Price Estimating." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/87518542601074164643.

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Abstract:
碩士
國立高雄第一科技大學
營建工程所
95
Land is one of the most important resources in construction and the life cycle of a building project starts with the procurement of land, of which a possible source is purchase of a state-owned, non-public use lot through open tendering. In recent years, National Property Administration, Ministry of Finance, in an effort to improve land use through private developments, has actively offered for bidding state-owned lands that lay idle. This measure can increase land use efficiency, reduce management costs of the government, increase revenue and tax income, as well as help stimulate growth of the building market. However, as the sale activity increases, the amount of required estimating work increases, so the traditional method for estimating land prices based on surveys and fieldwork need to be improved. The objective of the presented research is to develop a case-based reasoning model for estimating land prices. The model builds a database of past cases of land sale in an area and produces an estimate for a new case based on the prices of similar cases retrieved from the database. Through a review in the literature of related works, 11 factors that influence land prices have been identified and used as case attributes of the model, i.e. location, size, number of bidders, zone, transport, surroundings, land improvements, infrastructure, amenities, development trends in the area. The research used 137 cases of land sale for year 2005 in the Kaohsiung area including residential and commercial lots to build the database of the model. In the model, determination of the similarity between a new case and an existing case is based on measurement of the differences in case attributes, for which the chosen mathematical formula was CABINS from Miyashita and Sycara (1994). The model was tested against additional cases and achieved a deviation of 5% in the result from that of the multiple regression method, showing that land price estimation using case-based reasoning is feasible and potentially useful. The proposed case-based reasoning model not only can save time in estimation and improve efficiency and quality of work but also can transform the large number of past cases of land sale in files into useful resources of knowledge that can be tapped in an automatic manner.
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35

Chen, Chi-Chieh, and 陳祈潔. "Study on the Adjustment of Land Market Price and Announced land values of Land in Taipei City." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/q3ywkf.

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Abstract:
碩士
國立臺灣大學
政治學研究所
107
The study was based on the price data in Zhongzheng District, Shilin District and Beitou District of Taipei City from September 2014 to September 2017, to analyze the relationship between the adjustment of the land price and the announced land price in these three districts. We found that there were horizontal inequity, vertical inequity and regressive in these district rather in 2016 or 2018. In addition, we could not find a significant improvement in the level of inequality in 2018. From the average, median, standard deviation, and P-value of the land valuation ratio, the Zhongzheng, Shilin and Beitou District all show the higher the land price and the lower the valuation rate. Moreover, the land valuation ratio in Zhongzheng and Shilin District in 2018 is not significantly different from that in 2016, indicating that the announced land price in Zhongzheng and Shilin District has not significantly approached the land market price. The aforesaid announcement of land price adjustment will lead to more inequity land price tax, and will affect land use efficiency and may cause the land market price to rise upward. The government should speed up the reduction of land market prices and the announcement of land price gaps. The real estate information system can be used to establish a land price estimation program to make the land price of the announcement reasonable and equity, and the actual price registration system exposes the complete information to facilitate the public to review the rationality of the government''s announcement of the land price. The announcement of the land price system will be sound.
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36

Chang, Wan-Ling, and 張菀玲. "Price Premium in Public Land Auction in Kaohsiung City." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/54638752179238057935.

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Abstract:
碩士
國立臺北大學
不動產與城鄉環境學系
99
The first-price sealed-bid auction is adopted in the land auction of the public sector in Taiwan. Builders can’t know who are the potential competitors or how many of them before the auction results are revealed, so they need to be more careful when they decide their bid price. Builders always are viewed as the party who can get huge profits from the land which they win in the public auction with unreasonable low bid price. However, this social cognition that builders are always winners who earn excessive profits was seldom proofed in the present researches. This study gathers the sales and developed data of buildings and employs land development analysis method to calculate the ex-post price of land. In order to improve the shortcoming of lack of uncertainty when using single value to be the benchmark of whether the price is too high or not, this study adds the concept of acceptable price zone into expressing uncertainty related to the price. The empirical result reveals that the percentage of highest bid below the minimum price of acceptable price zone of the land ex-post price is 59%, and shows that builders have the premium between their bids and land ex-post price. According to this result, in the public land auction of Kaohsiung city, builders can earn profits through reselling the land which they win even if the development is not performed on it. Moreover, this study estimates the land ex-ante price with all the bid prices of every land at auction, and finds that the land ex-ante price is lower than the and ex-post price. There are two inferred reasons of this empirical result, one is that bidders are conservative about the land development market in Kaohsiung city, the other is that numbers of bidders are not sufficient enough to raise competition level in Kaohsiung city.
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37

Wu, Gau Woei, and 吳高偉. "The Study of Computer Assisted Land-Price District Delimitation." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/24709507989032175181.

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Abstract:
碩士
逢甲大學
土地管理研究所
83
Land-price district is the combinations of the similar location, situation and land-price close lands,and the district is somehow homogeneous。 In laws,regulars and rules, we know the accuracy and objective of the land-price district delimiting affect people''s tax burden; recent years , government agencies largely extend the computerization of land management, applying computer assisted mass land appraisal should be the future trend。 In America, mass land appraisal produce all regression equations,and each equation has its own applicable area。Its the same with our land-price district delimiting, because the homogeneity of the lands of the land-price district is greater than the homogeneity between land-price districts。 The study follows current laws, regulars and rules, and refers to relational papers, theoies and models, choosing the factors of land-price delimiting and then establish the best delimiting methods。 The study utilize DGPS survey system ,ARC/INFO software and SAS software to capture, transfer real world datum into computer format,and calculate, analyze all dataum。 Finally,the study produce land-price district map, and establish a set of selecting factors and claculating methods, in order to operate mass land appraisal in near future。
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38

LIN, CHIU-JU, and 林秋如. "Determinants of urban land house price in Chuanghua County." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/8x7hbj.

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Abstract:
碩士
嶺東科技大學
企業管理系碩士班
105
The study was to explore urban land house transaction price situation and determinants of urban land house price in Changhua County. Using the registering actual prices of property transactions batch database to collect the recording of urban land house transaction in the Changhua County. Besides, these data are collected from April 2014 to March 2015, and we have a total of 2,970 samples. The study used OLS models of Linear Regression and bootstrapping models of the Quantile Regression. The results showed that average price of the urban land house is NT$7,250,900, which is NT$131,900 per ping, and housing average age is 17.84 years in Changhua County. The highest average price of urban land house per ping is in the Yuanlin City, which is double higher than Dacheng Township. Therefore, the main factors to affect the price of urban land housing are as following, building area, land area, districts, and the road types. In the quantile regression model, the marginal contribution of housing price will indeed be different with price level, impact of the housing age to the housing price from negative to positive, the marginal contribution of the parking spaces to housing price is very heterogeneous.
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39

Ge, Jia-Yu, and 葛家瑜. "The Change of Land Transaction Price in Taoyuan Aerotropolis." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/pu59ar.

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Abstract:
碩士
國立政治大學
地政學系
106
A policy will affect the investor’s decision to purchase land. The Taoyuan Aerotropolis is the largest land expropriation plan at Taiwan. Because of the investors’ behavior, the farmland prices within the area of collection is soaring. But will the investors buy the land as long as they are "agricultural lands"? Or the investors will make the decision by analyzing other information? This study draws a price gradient picture and uses regression analysis to test the effect of anchoring, explore the behavior of investors within the area, and understand whether investors will be affected by "the current land value "or " the previous market price " or " the future development "to make different investments. According to the results, investors are actually affected by "the current land value "and " the previous market price " and " the future development " to make different investments. And also the price gradient will change, because of the policy’s reforming.
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40

Ai, Chao-Lei, and 艾兆蕾. "The Impacts of Geographic Factor on Residential Land Price." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/86506938301699699527.

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Abstract:
碩士
世新大學
經濟學研究所(含碩專班)
93
Abstract Because the house price and the land price present the gearing the characteristic, the land price rise and drop also affects the house price the rise and drop. But the land price change presents much jumps with the individual change in sexuality. Itself has spatial the instability, formerly estimated the land price pattern neglects the area for the factor, the ancestor place characteristic dynamic change. Along with has the tendency from the change and the non-dynamic change, But passes the research way all is by counts the tool to discover the influence land price the variable, Again take Rosen S. (1974), the concealed price theory which proposed as carries on the regression analysis, establishes the characteristic price function, These research mainly error term position for independence also equal assignment. Also regards as the factor influence the static state, actually had not considered in the identical area other are close to the area to be able to have the spatial autocorrelation to this land sector price the relations. But these spatial autocorrelations relations cause the residential land price to forecast the model has the spatial self- correlation question, causes the model to produce harms the model estimated capacity to drop.The findings may know 89 year villages and towns have the space with 90 year villages and towns variables to the relevance, may know from the spatial dispersion pattern, Assumes right now to the space correlation, villages and towns variable Moran ' s I all is bigger than 0, Represents has the similar attribute with the villages and towns neighboring area, also has the phenomenon which gathers. According to the LM principle, under two levels comparison results all showed the Space lag Model is better than the Space error model, indicated the Taiwan area truly has the space correlation between the county city and the villages and towns, is close to the residential land price to be able to affect local residential land price.
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41

Lai, Mei-Chun, and 賴美君. "The Impact of Renewable Energy Policy on Agricultural Land Price in Tainan City--How if Planting Solar Panels Produce Good Land Prices." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/hg3v75.

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Abstract:
碩士
國立臺灣大學
農業經濟學研究所
106
The government in Taiwan promotes various agricultural policies to ensure the functions of agricultural production, life, and ecology. At the same time to ensure food security and to increase farmers’ income. However, all types of policies may result in the change of farmland price. Past studies focus on the evaluation of fallow policies, farm building construction, population density, and expected diversion It is lack of impact analysis of agricultural facilities, i.e. accessible green energy facilities, on the farmland price. In response to the low carbonization trend and the development of renewable energy, the Council of Agriculture of the Executive Yuan in Taiwan revised and issued the application for review of farmland for agricultural facilities in 2013. In the south-central part of Taiwan with good sunshine conditions, the photovoltaic industry has appearly developed solar energy in these areas. Such policy induces farmers renting their lands to photovoltaic industry for solar energy generation. The benefit brought by the implementation of solare energy will increase the amount of green energy generation. The loss is the reduction of the useable farmland amount and then indirectly increase the price of farmland. This study employs a spatial regression model to evaluate the distance impact of farmland price with surrounding solar panel installations. At the same time, this study also evaluates the impact of farmland price surrounded by capacity of solar panels installation. A set of data with 19,966 pieces of farmland prices in Tainan City is conducted for these purposes. Five major divisions according to the average price of the farmland and its geographical location are divided from the original 33 administrative districts. The results show that in the north, coastal, and the near-mountain division the closer the solar panel installations are the more significant increase in the price of farmland is. On the countrary, in the central division the closer the solar panel installations are, the lower the farmland price is. However, the trading farmlands surrounded by a larger capacity of the green energy facilities within 2 km, the price of farmland increases significantly in the original surrounding Tainan division. For other divisions, the larger capacity of green energy facilities within 2 km, the price of farmland reduce siginificantly. It is also known from the empirical results that the larger capacity of solar panel facilities installation and the closer to the farmland is the prices of the farmland in the original surrounding Tainan, the north, the coastal, and the near-mountain division will increase significantly. However, the continuous increase of farmland price could damage the long-term agricultural development in Taiwan.
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42

Jhen, Min-Hua, and 詹旻華. "The Method to Separating Land Value from Total Property Price." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/44115152308019682253.

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Abstract:
碩士
國立臺北大學
不動產與城鄉環境學系
94
Land valuation is needed for a variety of purposes. Valuing land has however long suffered from the lack of information on sales of vacant land. Sales of real properties in the market provide sufficient number of transactions for analysis, but separation of land value from total property price poses another challenge. A number of studies have employed multiple regression and hybrid models to separate land value from structure value, and the results seem to be satisfactory. The current study extends those models to housing market in Taipei City where high-density dwellings are prevalent. Empirical evidence shows that multiple regression model performs reasonably well in distinguishing land value form structure value. Hybrid model, contrary to initial expectation, performs poorly. According to multiple regression model, the ratio of land value to total property price among residential properties in Taipei City is approximately 75.3%. This figure is much higher than those found in US but regarded consistent with local observation as land supply is so limited in Taipei City. The government announced current land value is found to be significantly lower than estimated land value by 30 to 40 percentages. The difference between announced current land value and estimated land value varies among different types of residential properties. In addition, the principle of joint contribution in appraisal literature seems to be the most preferable method when separating land value form total property price.
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43

Ding, Hsiu-yin, and 丁秀吟. "Study of Land Price Influence the Descision Making of Zoning." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/26729735503682481513.

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44

TSAI, CHENG-HSIUNG, and 蔡正雄. "The Development of Land Consolidation Area and House Price Changes." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/37035625966755121992.

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Abstract:
碩士
輔仁大學
金融與國際企業學系金融碩士在職專班
102
Land Consolidation Area to go to a certain size, be sure to go through the gestation period - the construction phase - seeking a total of - maturity, and you want to go to mature for at least 11 years. Prices will not foam, in addition to the time required by the chain and the impact of interest rate quenching factors, redistricting mere bit, surrounding traffic are the major factors. Land Consolidation Area success stories include Xinyi District and the new board, DC. Select the houses of Land Consolidation Area, the proposal should have as a priority the following five considerations: (a) need to have an international business center. (b) the location of the central or municipal governments. (c) for the convenient traffic or transit must pass through. (d) the location of parks and campuses. (e) the district has planned a number of major projects. In order to avoid re-zoning irrational prices and rising interest rates impact housing prices rise, suggested the government to amend the relevant provisions of tax and land tax, property tax, and for the impact of interest rates rising develop countermeasures to mitigate re-zoning gradually pushed prices problems on the domestic economy and have a significant impact.
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45

Huang, Wei-Hsien, and 黃韋憲. "Price estimation model for residential land in Taiwan urban area." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/82870972085550912912.

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Abstract:
碩士
國立中央大學
營建管理研究所
98
Land price estimation usually and significantly depends on estimators’ experience. To prevent estimation from subjective judgment, the objectives of this research are to identify the impact factors and their corresponding weights for estimating land price, and to develop a price estimation model by a nationwide surveying and the fuzzy logical control technique. The impact factors are initially collected from literature, followed by the questionnaire development so as to refine the factors. The nationwide surveying targets seven major urban areas due to the distribution of corporate registration. A total of 500 questionnaires are spread based on the proportion of such registration. The analysis of 48 effective questionnaire returns determines the final 21 impact factors, accordingly shapes the fuzzy membership functions, and constructs the price estimation model. The case simulation concludes that the model is feasible and relatively accurate to assess a land price using its adjacent lands.
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46

Chen, Tzu-Yao, and 陳祖耀. "The Observation of MRT Development Progress and Land Price Variation." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/44055021214104909190.

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Abstract:
碩士
國立成功大學
都市計劃學系碩博士班
94
When the MRT was introduced into the city, it will be through steps of planning ,designing , construction and electrical engineering ,etc, among them there are some policies like route change or site selection could lead to the fluctuation in land price , and major traffic construction usually bring about a lot of effect on the development of land use in the surrounding area, the land price has been the theme discussed by scholars in the past time ,and most of the research was about the influence factor on the space more in the past, but it is more scarce to observe the continuous influence of MRT on the land price of every year. So this research wants to do the detailed discussion to the land price change over the years after MRT was announced to build up, and try to tell some phenomenon and characteristics from the data recording, and then apply time series model (ARIMA) to predict the change of land price caused by MRT. This research utilize land price announced by department of land to take place of real trade price to proceed to analyze the influence caused by MRT. Every steps of the MRT policy discussed in this research will repeat while any other city wants to build MRT, so the achievement of this article can support some newly-built MRT to be the precedent of land use development of the city.
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47

Lin, San-Der, and 林尚德. "The Construction of Spatial Variation Based Land Price Assessment Model." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/02445630744350658926.

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Abstract:
碩士
國立成功大學
都市計劃學系碩博士班
91
The construct of the land price depends on how people use it. People use many kinds of method and model in order to forecast the exact land price. There are two kinds of land price assessment: 1.The assessment that involves the private rights 2.In order to levy the tax or compensation for private person that hold by the government. The process of these two kinds of assessment is very different because of the different aims of the assessments. We usually treated factors that effected the land price as a stable trend, that is, we ignore the spatial character of the factors that effect the land price. The latest researches shows that spatial non-stationarity is an important point of view for land price assessment, for that reason, we developed the land price assessment model to reflect the spatial variation. Spatial statistics is one branch of the statistics system that stress the spatial variation, this thesis use “Geographically Weighted Regression” which is the latest method of spatial statistics and we can avoid the disadvantages of treat factors as a stable spatial variation drift. The hardest factor to treat is that “location factor”, we usually delimit the land into some zone that has the same land price character before, but it is hard to choose that what factor should be excluded. This thesis uses Kriging method that categorized in Geostatistics system to discuss this issue. Kriging method is a popular method in Geostatistics system. We can find the “Spatial Variation Angle” and “Range” of the land price in space to prove the spatial non-stationarity in Tainan city east district, middle district and west district. We also use the “Range” in Kriging method to choose the location factors and the spatial bandwidth in Goegraphically Weighted Regression. The aim of the thesis combined these two methods is to reflect the spatial non-stationarity that how the factors effect the land price and overcome the disadvantages of stable land price assessment model. The new land price assessment model shows a good result in R2 and land price assessment efficiency.
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48

Chang, Yuan-Ting, and 張媛婷. "The Impact of Urban Land Use Control on Land Price─Application of the Hierarchical Linear Models." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/82835286963578001009.

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Abstract:
碩士
國立成功大學
都市計劃學系碩博士班
96
Urban planning determines the urban development and infrastructures, also controls the land use. No matter the urban development or land use, it has far-reaching influence on land price. With the urban development, it has a lot of land use issues under the limited urban development space. In order to control the question of the land use, it should be planned before the question, so it produces Land Use Control. Urban Land Use Control is create land value and the basic tool that leading city to grow up. It’s ifluence land use directly. Land use is concerning benefit and value, and land use can reflect that benefit and value.So urban planning can control the land price. It can develop the land value, and limit the development of the land. The explorations of land price are look for rational estimation method and the influence of the factors. Previous research just analyse single level factor influence to land price, lacking the discussion there is relation between the level of analysis and the factors. Therefore, it will use hierarchical linear modeling for explore that the influences of related relation among the levels. Divide the factors of influence the land price, it’s include two aspects that are overall, and individual. It exists hierarchical relation. This research will use hierarchical linear models to explore into the influences of each other among the hierarchism. Because exists hierarchical relation, and use hierarchical linear models to analyse that can close to the characteristic of the real data and more appropriate. The result of study analyzes out the factor influencing land price exists hierarchical relation, it need to analyse its relation use hierarchical linear models. Analyse through hierarchical linear models get the result, the overall factors to the individual factors has the result of the regulation, and there is reciprocation between hierarchism. It is a comparative analysis method finally, and proves hierarchical linear models than multiple regression can be more fair and perfect estimate land price.
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49

Hsu, Hui-ju, and 徐慧茹. "Applying Hedonic Price Model to Evaluate the Price of the Land Rezoning in the Previous Tainan City." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/80429515482935860929.

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Abstract:
碩士
康寧大學
資產管理與城市規劃研究所
100
The urban land readjustment has been one of the main vehicles of government that engaging in metropolis land development for many years, and its results also receive the corresponsive affirmation. However, the alignment procedure before this kind of land development often consumes the quite considerable cost and this kind of adjustment cost will also reflect in the land price. On the other hand, as a result of system limitation, the urban land readjustment fail to solve the property right complexity and land area limitation in the land development completely, and it must penetrate the land market function in order to help the development. Therefore, the price characteristic of the area of land secured by the authorities contained the market price characteristic of the land and also is influenced by other coefficient of correlation of land sale of sealed tender, and the land price develop really great influences regarding the metropolis and the region overall soil-rent value standard and the space. The price of the land secured by the authorities followed the metropolis development policy and the area real estate market quotations. Its sale by sealed tender was helpful in improving and promoting the region of the housing and the level of living. This article takes hedonic price method to identify the factor influence on land price level, and take the land secured by the authorities of original Tainan to study, analyzing the difference of the auction price of land space to understand the characteristic factors affect the price of the auction and establish land price characteristic function. The analysis showed that the characteristic function of the auction price is influenced by the partition, temporary road conditions, location, interest rate, road width, depth, shape, area, the notice present value and so on. From the comparison of the model, we can see, the interpretation capacity of the double logarithmic model is the best the second is the linear model and the interpretation capacity of the semi-logarithmic model is the weakest. In addition, through the model validation, we also could learn about the double logarithmic model is the best, therefore this study finally adopted characteristic function of land price of the double logarithmic model.
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50

Kao, Yu Sui, and 高毓穗. "An Empirical study of building depreciation on land-price-extracted condition." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/91613138885323839588.

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Abstract:
碩士
國立政治大學
地政研究所
96
In this paper, we verify that estimated depreciation rate is higher when the land price has been extracted from single-family house prices in Tainan, and the depreciation pattern of building is convex to the origin. We also find that property prices will decrease in the early years and then turn to increase; this phenomenon may testify the benefit in land redevelopment. Moreover, this study shows that external obsolescence would reduce not only the land price but also the building price when the surrounding is unattractive, and the decreasing figures caused by external obsolescence shouldn’t base on house age, but distance between house and unattractive objects.
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