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Land policy and property price in Hanoi, Vietnam, January 2009

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<strong>L<strong>and</strong></strong> Policy <strong>and</strong> Property Price <strong>in</strong> <strong>Hanoi</strong>, <strong>Vietnam</strong>Hironori KATOAssociate ProfessorGraduate School of Eng<strong>in</strong>eer<strong>in</strong>gUniversity of Tokyo7-3-1, Hongo, Bunkyo-ku, Tokyo113-8656 JapanFax: +81-3-5841-7451E-mail: kato@civil.t.u-tokyo.ac.jpLe Hong NGUYENInfrastructure Plann<strong>in</strong>g Department<strong>Hanoi</strong> Authority for Urban Plann<strong>in</strong>g <strong>and</strong>Architecture11C Cat L<strong>in</strong>h Str. Dong Da district<strong>Hanoi</strong>, <strong>Vietnam</strong> 10000Fax: +84-4-3732-0915E-mail: nguyenhongle@gmail.comAbstract: This paper reviews the past <strong>and</strong> current l<strong>and</strong> policies <strong>in</strong> <strong>Hanoi</strong>, <strong>Vietnam</strong> <strong>and</strong>analyzes the local <strong>property</strong> <strong>price</strong>s to f<strong>in</strong>d the ma<strong>in</strong> factors affect<strong>in</strong>g the local l<strong>and</strong> market. The<strong>in</strong>stitutional systems regard<strong>in</strong>g l<strong>and</strong> market have been changed dramatically for severaldecades <strong>in</strong> <strong>Vietnam</strong>. It causes various problems <strong>in</strong>clud<strong>in</strong>g <strong>in</strong>stable <strong>property</strong> <strong>price</strong>s. The current<strong>property</strong> <strong>price</strong> evaluation <strong>in</strong> <strong>Hanoi</strong> reflects the real dem<strong>and</strong> of the market while try<strong>in</strong>g to meetthe requirements of <strong>L<strong>and</strong></strong> Law. However, it still suffers from the lack of data <strong>and</strong> knowledgeon l<strong>and</strong> market. Then, the <strong>property</strong> <strong>price</strong> is analyzed to underst<strong>and</strong> the <strong>property</strong> <strong>price</strong> structurewith the hedonic <strong>price</strong> method. The <strong>property</strong> <strong>price</strong> functions are estimated <strong>in</strong> five zones <strong>in</strong><strong>Hanoi</strong>. The results show that various factors such as the location from the nearest street,number of floors <strong>and</strong> road ratio impact significantly the <strong>property</strong> <strong>price</strong>s.Key Words: l<strong>and</strong> <strong>policy</strong>, <strong>property</strong> <strong>price</strong>, <strong>Hanoi</strong>, hedonic <strong>price</strong> analysis1. INTRODUCTIONThe importance of <strong>in</strong>tegrat<strong>in</strong>g transportation plann<strong>in</strong>g with l<strong>and</strong>-use plann<strong>in</strong>g has beenhighlighted for many years (Transportation Research Board, 1999). For transportationplanners, l<strong>and</strong> <strong>policy</strong> is one of the most essential issues to plan any urban transportationsystem <strong>in</strong> urbanization process. Nevertheless, underst<strong>and</strong><strong>in</strong>g the l<strong>and</strong> market structure <strong>and</strong>develop<strong>in</strong>g good l<strong>and</strong> <strong>policy</strong> system rema<strong>in</strong> a key challenge for many countries (UN-ESCAP,1997). <strong>Vietnam</strong>, especially <strong>Hanoi</strong> city – its capital - presents a typical case of how no welldesignedl<strong>and</strong> market <strong>in</strong> a poorly-managed urban development process has manipulated thelocal <strong>property</strong> <strong>price</strong>. <strong>Vietnam</strong> shifted to market-oriented economy <strong>in</strong> late 1980s. With thetransition from a centrally planned system to a market economy <strong>and</strong> a constant high GDPgrowth over the last two decades, <strong>Vietnam</strong>ese <strong>in</strong>creas<strong>in</strong>gly dem<strong>and</strong> better quality <strong>in</strong> houses<strong>and</strong> bus<strong>in</strong>ess facilities. These pushed the <strong>property</strong> market <strong>and</strong> provided developers with<strong>in</strong>centives to build more properties. However, before the approval of the <strong>L<strong>and</strong></strong> Law 2003 <strong>in</strong>November 2004, legally <strong>and</strong> theoretically, the l<strong>and</strong> had no market value given the pr<strong>in</strong>ciple of“people own l<strong>and</strong> while the State manages l<strong>and</strong>”. Instead, the state had enacted statutorypric<strong>in</strong>g formula for calculat<strong>in</strong>g the l<strong>and</strong> values. Then, the <strong>price</strong> differences between statevalues <strong>and</strong> market values became bigger gradually. This biased the evaluation of localproperties <strong>and</strong> generated the illegal transaction/conversion of l<strong>and</strong> use <strong>in</strong> <strong>Hanoi</strong>. These areserious problems <strong>in</strong> l<strong>and</strong> market of <strong>Hanoi</strong> even now. To avoid the further l<strong>and</strong> problems <strong>in</strong> thefuture, it is critical to underst<strong>and</strong> the <strong>property</strong> <strong>price</strong> structure <strong>in</strong> a systematic way.Then, this paper aims to analyze the <strong>property</strong> <strong>price</strong> <strong>in</strong> <strong>Hanoi</strong> to f<strong>in</strong>d the ma<strong>in</strong> factors affect<strong>in</strong>gthe local <strong>property</strong> market. The paper is organized as follows. Next chapter reviews the past<strong>and</strong> current l<strong>and</strong> market <strong>in</strong> <strong>Hanoi</strong> based on policies, legal system <strong>and</strong> other <strong>in</strong>formationrelated to the <strong>property</strong> market. Chapter 3 describes the current problems regard<strong>in</strong>g <strong>property</strong>


cooperative ownership. This means that the l<strong>and</strong> was <strong>in</strong> practice either nationalised orconverted <strong>in</strong>to cooperatives follow<strong>in</strong>g <strong>L<strong>and</strong></strong> Reform Law 1953 although the 1960 Constitutiontheoretically allowed the private ownership. After the reunification <strong>in</strong> 1975, the 1980Constitution stipulated that the state has the l<strong>and</strong> ownership for the whole country <strong>and</strong> noprivate right to own the l<strong>and</strong> is allowed. <strong>L<strong>and</strong></strong> was allocated through the central adm<strong>in</strong>istrativecontrol rather than the market mechanism. However, <strong>in</strong> 1988, the State enacted the <strong>L<strong>and</strong></strong> Lawpermitt<strong>in</strong>g the grant of l<strong>and</strong>-use right both to organizations <strong>and</strong> <strong>in</strong>dividuals (GeneralDepartment for <strong>L<strong>and</strong></strong> Adm<strong>in</strong>istration, 2000). The pr<strong>in</strong>ciple of no private right of own<strong>in</strong>g l<strong>and</strong>was changed <strong>in</strong>to “people’s ownership” <strong>and</strong> “state management” <strong>in</strong> the 1992 Constitution <strong>and</strong>1993 <strong>L<strong>and</strong></strong> Law. Furthermore, as a concession to the emerg<strong>in</strong>g mixed market economy, the<strong>L<strong>and</strong></strong> Law 1993 allowed various private rights regard<strong>in</strong>g l<strong>and</strong>, which <strong>in</strong>clude the l<strong>and</strong> transfer<strong>and</strong> leas<strong>in</strong>g without disturb<strong>in</strong>g the underly<strong>in</strong>g pr<strong>in</strong>ciple of state ownership of l<strong>and</strong>. Theserights were extended <strong>and</strong> clarified by the 1998 <strong>and</strong> 2003 <strong>L<strong>and</strong></strong> Laws.2.2.2 <strong>L<strong>and</strong></strong> transfersFormally, private access to urban residential l<strong>and</strong> <strong>in</strong> l<strong>and</strong> market is primarily ga<strong>in</strong>ed not bybuy<strong>in</strong>g <strong>and</strong> sell<strong>in</strong>g but by l<strong>and</strong> transfers (Nguyen <strong>and</strong> Hans, 2002). This is because l<strong>and</strong> is“owned by the people” <strong>in</strong> legislation. 1988 <strong>L<strong>and</strong></strong> Law prohibited any k<strong>in</strong>d of l<strong>and</strong> transaction,encroachment or l<strong>and</strong> lease among private <strong>in</strong>dividuals. The l<strong>and</strong> users, <strong>in</strong> most cases the stateorganizations, were not required to pay for the l<strong>and</strong> allocated to them except for the smallformal amounts of l<strong>and</strong>-use fees. All premises were developed by the state-owned companiesunder the direction of the authorities, thus no <strong>property</strong> market officially existed. However,although the Civil Code (article 694) required the transfer of l<strong>and</strong>-use right to be based on the<strong>price</strong> formula set by the M<strong>in</strong>istry of F<strong>in</strong>ance, <strong>in</strong> practice, both officially registered <strong>and</strong>unregistered l<strong>and</strong> were rout<strong>in</strong>ely bought <strong>and</strong> sold accord<strong>in</strong>g to the market <strong>price</strong>s (GeneralDepartment for <strong>L<strong>and</strong></strong> Adm<strong>in</strong>istration, 2000). Then, 1992 Constitution was <strong>in</strong>troducedrecogniz<strong>in</strong>g that the l<strong>and</strong>-use right can be transferred among households <strong>and</strong> <strong>in</strong>dividualsalthough it restated that all l<strong>and</strong> is owned by the State as representative of the people. Basedon the new pr<strong>in</strong>ciples, a new version of the <strong>L<strong>and</strong></strong> Law was promulgated <strong>in</strong> 1993 mak<strong>in</strong>g asignificant advance toward the formulation of a legal framework for l<strong>and</strong> adm<strong>in</strong>istration. Thenew <strong>L<strong>and</strong></strong> Law established a legal basis for l<strong>and</strong> allocation <strong>and</strong> lease, which secures the l<strong>and</strong>useright of l<strong>and</strong>holders <strong>in</strong>clud<strong>in</strong>g the rights of long-term l<strong>and</strong> use, l<strong>and</strong> transfer, <strong>in</strong>heritance,lease, mortgage, <strong>and</strong> compensation for expropriation. It should be noted that historically,about 70% of all l<strong>and</strong> transactions took place without a paper trail (Phe, 2002). This meansthat the authorities were unable to tax or manage the sector effectively. Thus, the new law alsoaimed to change it by st<strong>and</strong>ardiz<strong>in</strong>g l<strong>and</strong> transactions.2.2.3 <strong>L<strong>and</strong></strong> marketBefore the approval of the <strong>L<strong>and</strong></strong> Law 2003Throughout the socialist period, buy<strong>in</strong>g <strong>and</strong> sell<strong>in</strong>g of urban residential l<strong>and</strong>/hous<strong>in</strong>gcont<strong>in</strong>ued through personal networks <strong>in</strong> the black market under the tacit approval of localauthorities (General Department for <strong>L<strong>and</strong></strong> Adm<strong>in</strong>istration, 2000). The <strong>in</strong>discreet l<strong>and</strong> traderesulted <strong>in</strong> the voluntary surrender of surplus l<strong>and</strong>. Even after the “nationalisation” of privatel<strong>and</strong> <strong>in</strong> 1980, the <strong>in</strong>formal urban hous<strong>in</strong>g market cont<strong>in</strong>ued. The state tacitly accepted thecommoditisation of urban residential, but not commercial l<strong>and</strong>. The state valuated the l<strong>and</strong>useright with the <strong>price</strong> formula. The <strong>price</strong> formulas set by the M<strong>in</strong>istry of F<strong>in</strong>ance are used todeterm<strong>in</strong>e the fees charged for l<strong>and</strong> allotments, leases <strong>and</strong> transfers <strong>and</strong> compensation paid forcompulsory acquisition <strong>and</strong> taxation. In this formula, the values of l<strong>and</strong>-use right aredeterm<strong>in</strong>ed based on city classification group<strong>in</strong>g cities <strong>in</strong>to five classes. The classification is


determ<strong>in</strong>ed consider<strong>in</strong>g the potential for bus<strong>in</strong>ess profitability, <strong>in</strong>frastructure <strong>and</strong> location i.e.proximity to city centers <strong>and</strong> major roads, etc. It may be considered that the <strong>price</strong> formulaattempted to “scientifically” replicate market <strong>price</strong> <strong>in</strong>dicators. However, there was a big gapbetween the <strong>property</strong> <strong>price</strong> <strong>in</strong>dicated by the government <strong>and</strong> the market <strong>price</strong>.After the approval of the <strong>L<strong>and</strong></strong> Law 2003The key features of the new <strong>L<strong>and</strong></strong> Law 2003 are summarized as: the formal recognition of realestate markets with a relaxation of Government’s control of the l<strong>and</strong> supply <strong>and</strong> cost; thedevolution of responsibility from the central government to local governments <strong>in</strong> terms ofl<strong>and</strong> adm<strong>in</strong>istration <strong>and</strong> registration; the use of market values for evaluat<strong>in</strong>g thecompensation, taxes, <strong>and</strong> l<strong>and</strong>-use fees; the public participation <strong>in</strong> plann<strong>in</strong>g; <strong>and</strong> the publicnotification of approved plans. The <strong>L<strong>and</strong></strong> Law motivated the <strong>property</strong> developers, the majorityof which are still state owned, to build the planned developments. 2003 <strong>L<strong>and</strong></strong> Law gave thesignificant changes <strong>in</strong> <strong>property</strong> <strong>price</strong> not only <strong>in</strong> <strong>Hanoi</strong> but also <strong>in</strong> the whole country.Accord<strong>in</strong>g to this Law <strong>and</strong> Decree 188/2004/ND-CP dated 16 November 2006, the <strong>property</strong>value was formally recognized by the laws. In pr<strong>in</strong>ciple, the <strong>price</strong> of l<strong>and</strong>-use right isformulated based on (i) the official <strong>property</strong> <strong>price</strong> list established <strong>and</strong> approved annually bylocal government, which must be equal to the <strong>property</strong> <strong>price</strong> <strong>in</strong> the market <strong>in</strong> normalconditions; (ii) the bidd<strong>in</strong>g or the w<strong>in</strong>ner’s auction <strong>price</strong> for l<strong>and</strong>-use right of <strong>in</strong>dividual ororganizations; <strong>and</strong> (iii) the agreement among stakeholders about transaction, leas<strong>in</strong>g, orjo<strong>in</strong><strong>in</strong>g capital by l<strong>and</strong>-use right. All local governments <strong>in</strong>clud<strong>in</strong>g cities <strong>and</strong> prov<strong>in</strong>ces arerequired to publish the reports regard<strong>in</strong>g their local <strong>property</strong> <strong>price</strong> list every year on <strong>January</strong>1st. Besides, the approval of the Real Estate Bus<strong>in</strong>ess Law <strong>in</strong> July 2006 has created a goodcondition to foreigners <strong>and</strong> overseas <strong>Vietnam</strong>ese to enter the real-estate market, allow<strong>in</strong>gthem to provide a wide range of services relat<strong>in</strong>g to real estate, <strong>in</strong>clud<strong>in</strong>g brokerage, pric<strong>in</strong>g,buy<strong>in</strong>g <strong>and</strong> sell<strong>in</strong>g, consultancy, auctions, advertisements <strong>and</strong> management. This is one of theState efforts to give a favourable condition to non-resident <strong>Vietnam</strong>ese <strong>and</strong> foreign <strong>property</strong><strong>in</strong>vestors to provide clear legislative framework for the l<strong>and</strong> market to ensure transparency.3. CURRENT PROBLEMS ON PROPERTY PRICE IN HANOI3.1 Property-Price Problems after <strong>L<strong>and</strong></strong> Law 2003With the <strong>L<strong>and</strong></strong> Law 2003, the l<strong>and</strong> market <strong>in</strong> <strong>Vietnam</strong> was changed substantially from thegovernment control to market-based system. This transition process is a big challenge for thegovernments without the rich knowledge <strong>and</strong> experience to manage it. A number of issuesregard<strong>in</strong>g the <strong>property</strong> <strong>price</strong> arose <strong>in</strong> <strong>Hanoi</strong>. They <strong>in</strong>clude:Too high <strong>property</strong> <strong>price</strong>: The <strong>property</strong> <strong>price</strong> <strong>in</strong> <strong>Hanoi</strong> becomes sky-high <strong>and</strong> arguably leads tomajor distortions <strong>in</strong> the broad economy. Local <strong>property</strong> experts estimate that only 5% of thepopulation can buy the properties at current <strong>in</strong>flated <strong>price</strong>s, which are far beyond theaffordable level of average national <strong>in</strong>comes.Large fluctuation of <strong>price</strong> <strong>in</strong> the real estate market: As there is a lack of knowledge <strong>and</strong>practical experiences of <strong>property</strong> <strong>in</strong>vestors, brokers <strong>and</strong> appraisers to properly evaluate theactual <strong>price</strong>, the <strong>property</strong> <strong>price</strong> <strong>in</strong> <strong>Hanoi</strong> is totally subjected to the psychological aspects ofbuy<strong>in</strong>g- sell<strong>in</strong>g speculation <strong>and</strong> ignor<strong>in</strong>g the real supply-dem<strong>and</strong> aspect of the market. Thisconsequently causes the “fever” <strong>and</strong> “frozen” of unstable <strong>price</strong>.Lack of proper <strong>property</strong> <strong>price</strong> evaluat<strong>in</strong>g methods: The Decree 188/2004/ND-CP prescribesmethods of determ<strong>in</strong><strong>in</strong>g <strong>property</strong> <strong>price</strong>s, <strong>and</strong> valuat<strong>in</strong>g specific l<strong>and</strong> categories based on localcondition. It also <strong>in</strong>dicates the <strong>property</strong> <strong>price</strong> boundaries which give the maximum <strong>and</strong>m<strong>in</strong>imum <strong>property</strong> <strong>price</strong>s <strong>in</strong> all cities or prov<strong>in</strong>ces. However, there is a big gap between the


actual <strong>price</strong> <strong>and</strong> the <strong>price</strong> set by the State. This has led to the contradiction with<strong>in</strong> the <strong>L<strong>and</strong></strong>Law <strong>and</strong> simultaneously causes the difficulties <strong>in</strong> transaction, lease, taxes <strong>and</strong> evaluation ofthe <strong>property</strong>.The problems mentioned above have strongly affected the l<strong>and</strong> market <strong>in</strong> <strong>Hanoi</strong>. They arearguably lead<strong>in</strong>g to major distortions <strong>in</strong> the broader economy s<strong>in</strong>ce the real-estate sector playsmore important role <strong>in</strong> economic growth. Moreover, due to the uncontrolled <strong>property</strong> <strong>price</strong>,the city government is not able to make the appropriate policies to manage <strong>and</strong> make a reall<strong>and</strong> market <strong>and</strong> ensure transparency.3.2 Current Evaluation Methods of Property Price <strong>in</strong> <strong>Hanoi</strong>3.2.1 Property <strong>price</strong> evaluation methods used <strong>in</strong> <strong>Hanoi</strong>First, M<strong>in</strong>istry of F<strong>in</strong>ance <strong>and</strong> its F<strong>in</strong>ancial Authorities are <strong>in</strong> charge of provid<strong>in</strong>g the methodsto annually determ<strong>in</strong>e the <strong>property</strong> <strong>price</strong>. This follows the Decree 188/NĐ-CP <strong>and</strong> evaluatecurrently by two major methods: the first is the direct comparison of <strong>property</strong> <strong>price</strong>s amongplaces when there is the past experience of l<strong>and</strong>-use transfers at the place <strong>in</strong> the same l<strong>and</strong>category with similarity to the to-be-<strong>price</strong>d place.; <strong>and</strong> the second is the <strong>in</strong>come-based methodby which the <strong>price</strong>s of l<strong>and</strong> categories are determ<strong>in</strong>ed based on the revenue ga<strong>in</strong>ed from thel<strong>and</strong>.Next, <strong>Hanoi</strong> Authority for F<strong>in</strong>ance evaluates <strong>property</strong> <strong>price</strong> <strong>in</strong> <strong>Hanoi</strong> <strong>in</strong> practice. They use thefollow<strong>in</strong>g methods: first, they carry out surveys on the <strong>property</strong> <strong>price</strong> by collect<strong>in</strong>g l<strong>and</strong>transfer <strong>in</strong>formation <strong>in</strong> the <strong>property</strong> market of representative streets; second, they determ<strong>in</strong>ethe market <strong>property</strong> <strong>price</strong> per square meter of representative parcel of the street <strong>and</strong> locationwith the collected data; third, they use the comparison method to evaluate the <strong>property</strong> <strong>price</strong>of the rema<strong>in</strong><strong>in</strong>g areas; f<strong>in</strong>ally, they re-exam<strong>in</strong>e the evaluation results by <strong>in</strong>corporat<strong>in</strong>g socioeconomicconditions, <strong>in</strong>come <strong>and</strong> expenditure/expenses, f<strong>in</strong>ancial obligations of organizations<strong>and</strong> <strong>in</strong>dividuals, etc. before releas<strong>in</strong>g the <strong>property</strong> <strong>price</strong> annually.3.2.2 Problems <strong>in</strong> Property Price Evaluation MethodFrom the practical viewpo<strong>in</strong>ts, the current <strong>property</strong> <strong>price</strong> evaluation <strong>in</strong> <strong>Hanoi</strong> reflects the realdem<strong>and</strong> of the market while try<strong>in</strong>g to meet the requirements of <strong>L<strong>and</strong></strong> Law. There are thefollow<strong>in</strong>g three problems <strong>in</strong> this method. First, the issued <strong>price</strong> does not reflect the real <strong>price</strong>well. The issued <strong>property</strong> <strong>price</strong> by the City government is only 30-70% of the actual market<strong>price</strong>. Second, the accuracy of <strong>property</strong> <strong>price</strong> evaluation is low due to the lack of <strong>in</strong>formation.Although the <strong>property</strong> <strong>price</strong> is surveyed <strong>in</strong> a considerable scale <strong>in</strong> <strong>Hanoi</strong>, the coverage of datais quite limited. For example, the survey covers only the transfer of residential l<strong>and</strong>-use.Third, the <strong>property</strong> <strong>price</strong> has not been well analyzed with the collected data. The ma<strong>in</strong> factorsdirectly or <strong>in</strong>directly affect<strong>in</strong>g the <strong>property</strong> <strong>price</strong> <strong>and</strong> <strong>property</strong> <strong>price</strong> structure have not yetbeen identified. For example, there has been <strong>in</strong>sufficient analysis on social-economic <strong>and</strong><strong>in</strong>frastructure conditions, liv<strong>in</strong>g st<strong>and</strong>ards, social services, people’s will<strong>in</strong>gness, the parcelspecial characteristics (legacy, figure of the parcel), the l<strong>and</strong> owner characters, (psychology<strong>and</strong> others) as well as the changes <strong>in</strong> the l<strong>and</strong> market.4. PROPERTY PRICE ANALYSIS4.1 Def<strong>in</strong>itions of Zones <strong>in</strong> <strong>Hanoi</strong>Accord<strong>in</strong>g to its historical development <strong>and</strong> urbanization process, <strong>Hanoi</strong> can be divided <strong>in</strong>tothe follow<strong>in</strong>g five ma<strong>in</strong> zones: Ancient quarter, French quarter, Area built dur<strong>in</strong>g the 1960–1990 (urban core), New built area after 1990 (urban fr<strong>in</strong>ge) <strong>and</strong> Outer dyke area. These zones


are depicted <strong>in</strong> Figure 1. The <strong>property</strong> <strong>price</strong> is analyzed based on these five zones.Ancient quarterThe Ancient quarter is located at the city center of <strong>Hanoi</strong>. It is a popular urban centerattract<strong>in</strong>g many tourists with the concept of old quarter of <strong>Hanoi</strong>. This area has beenorganized s<strong>in</strong>ce the 15th century <strong>and</strong> was composed of 36 guilds. Each guild was a residentialarea where people lived, carried out manufactur<strong>in</strong>g activities <strong>and</strong> made bus<strong>in</strong>ess. The Ancientquarter has become the busiest traditional commercial <strong>and</strong> residential district with the highestdensity of enterprises <strong>and</strong> population <strong>in</strong> <strong>Hanoi</strong>. The Ancient quarter ma<strong>in</strong>ta<strong>in</strong>s until now itsfunction as a big trad<strong>in</strong>g center together with its orig<strong>in</strong>al historic values. At present, there areabout 80,000 populations <strong>in</strong> a total area of about 100 ha <strong>in</strong> this quarter. The populationdensity is 623 persons per ha. The average household <strong>in</strong>come <strong>in</strong> the Ancient quarter is3,577,000 VND/month, which is 1.4 times higher than the average of <strong>Hanoi</strong> (JICA, 2005).The l<strong>and</strong>-use pattern <strong>in</strong> the Ancient quarter is highly mixed. The most area is used as eitherfor residential, commercial, or both. Many households run their bus<strong>in</strong>esses at home. Thetypical build<strong>in</strong>gs <strong>in</strong> this area are located at a longitud<strong>in</strong>al l<strong>and</strong> plot with the façade next to thestreet. The front part of the build<strong>in</strong>g is used for bus<strong>in</strong>ess activities whereas the rear part isused for residential purposes. Road network <strong>in</strong> this zone has been developed spontaneouslywithout any schematic plann<strong>in</strong>g. In the long history, the streets were formed ma<strong>in</strong>ly fortrad<strong>in</strong>g purposes. As often found <strong>in</strong> very old cities, the street density <strong>in</strong> the Ancient quarter isvery high, with road area ratio of 23.5% (JICA, 2005). The streets are mostly narrow with thewidth of the carriageway vary<strong>in</strong>g from 6m to 9m. The sidewalks are normally narrow,Figure 1 Zon<strong>in</strong>g system used <strong>in</strong> the <strong>property</strong>-<strong>price</strong> analysisNotes: 1. Ancient Quarter; 2. French quarter; 3. Area built dur<strong>in</strong>g 1960-1990; 4. Area built after 1990;<strong>and</strong> 5. Outer dyke area.Source of orig<strong>in</strong>al map: LANDSAT-17 Nov. 2001, MOT <strong>and</strong> JICA Study Team


serious traffic problems, ma<strong>in</strong>ly due to the heavy traffic congestion. The <strong>in</strong>frastructure systemsuch as water supply, sewerage <strong>and</strong> dra<strong>in</strong>ed systems are also <strong>in</strong> shortage. The liv<strong>in</strong>genvironment is undesirable <strong>in</strong> this zone as many lakes or river are polluted.Area built after 1990This zone is located outside the r<strong>in</strong>g road No.2 with 12,966 ha area. It has been develop<strong>in</strong>gunder the market-oriented development dur<strong>in</strong>g the dramatic urbanization of <strong>Hanoi</strong> s<strong>in</strong>ce1990s. It <strong>in</strong>cludes the four urban fr<strong>in</strong>ge districts, namely Tay Ho, Cau Giay, Thanh Xuan <strong>and</strong>Hoang Mai, <strong>and</strong> the urban l<strong>and</strong> area of two suburb districts: Tu Liem <strong>and</strong> Thanh Tri. There arearound 784,000 people liv<strong>in</strong>g <strong>in</strong> this zone (JICA, 2005). Although the current populationdensity <strong>in</strong> this area is still low, it has been grow<strong>in</strong>g at 6.5% of the average annual populationgrowth rate over five past years. Note that the average annual population growth rate is 2.7%<strong>in</strong> <strong>Hanoi</strong> city. One of the reasons for the rapid <strong>in</strong>crease of population is the high rate of urb<strong>and</strong>evelopment of <strong>Hanoi</strong> city <strong>in</strong> this area. Most of these urban development projects are ofmedium size, averag<strong>in</strong>g from 80-100 ha; exceptionally the Ciputra Urban Area has reached to300 ha. The house development projects <strong>and</strong> new urban area projects have been carefullyplanned <strong>and</strong> implemented simultaneously. They strictly followed the master plan with modernhous<strong>in</strong>g network compris<strong>in</strong>g low build<strong>in</strong>gs that are comforted <strong>and</strong> spacious with modernarchitecture. The <strong>in</strong>frastructure system like transportation network, electric power <strong>and</strong> gassupply has been built with high technical st<strong>and</strong>ard. The public services like schools, hospitals<strong>and</strong> open green spaces have also been synchronously designed <strong>and</strong> built, consequentlycreat<strong>in</strong>g a really modern liv<strong>in</strong>g environment for the <strong>Hanoi</strong>an. This area partly has set al<strong>and</strong>mark <strong>in</strong> urban plann<strong>in</strong>g of <strong>Hanoi</strong> <strong>and</strong> attracts people to move <strong>in</strong>to. Together with house<strong>and</strong> office development plans, the new built plann<strong>in</strong>g transportation network has also beenrapidly implemented. Many asphalt-covered major road with the width from 40 to 100 m hasbeen constructed <strong>in</strong> this area. Although the road area ratio is just 6.5% now, it is expected toreach 20% with<strong>in</strong> the next 10 – 15 year period if the implementation is progressed as planned.Outer dyke areaThis zone is located <strong>in</strong> the outer dyke along the Red river. Accord<strong>in</strong>g to the Ord<strong>in</strong>ance ondyke management, any k<strong>in</strong>d of construction is illegal <strong>in</strong> this zone. Nevertheless, people havebeen liv<strong>in</strong>g <strong>in</strong> this area s<strong>in</strong>ce 1950s. At present, the outer dyke area is one of the highestpopulated areas with 17,000 people liv<strong>in</strong>g <strong>in</strong> an area of only 1.018 ha (JICA, 2005). Manyhouses <strong>in</strong> this area are 1-3 story houses built on temporary basis. Dur<strong>in</strong>g the flood season,most of the roads <strong>and</strong> houses are <strong>in</strong>undated under 1.5-3m high flood water. Although the Dariver Hydropower plant was constructed to regulate the flood level, these houses are not onlydamaged by floods every year but also cause problems <strong>in</strong> flood flow <strong>in</strong>creas<strong>in</strong>g the river floodlevel, <strong>and</strong> this results <strong>in</strong> <strong>in</strong>creas<strong>in</strong>g flood risk <strong>in</strong> <strong>Hanoi</strong> City. The road network <strong>in</strong> this zone isnot complete <strong>and</strong> ma<strong>in</strong>ly comprises of scattered crosscut roads. The road area ratio <strong>in</strong> thiszone varies from 3.8 to 6.5% (JICA 2005). The <strong>in</strong>frastructure system is <strong>in</strong>sufficient <strong>and</strong> oftenrequires special ma<strong>in</strong>tenance or upgrad<strong>in</strong>g. Urban residential <strong>and</strong> mixed uses are the dom<strong>in</strong>antl<strong>and</strong> use type. The population is also mixed with employees of government offices,enterprises, traders, <strong>and</strong> self employed workers as well as those liv<strong>in</strong>g on agriculturalactivities.


4.2 Property Price Analysis4.2.1 Data usedWe use the <strong>property</strong> <strong>price</strong> data of the year 2006 collected by <strong>Hanoi</strong> Authority for F<strong>in</strong>ance(HAF) for the <strong>property</strong> <strong>price</strong> analysis. HAF survey collected the data regard<strong>in</strong>g the <strong>property</strong>transaction <strong>in</strong> 394 streets of 10 districts of <strong>Hanoi</strong>. HAF <strong>in</strong>terviewed the real estate transactionowners with the survey sheet. The survey sheet requests the <strong>in</strong>terviewees to answer the theiraddress; location; distance to the nearest street; house <strong>in</strong>formation <strong>in</strong>clud<strong>in</strong>g type <strong>and</strong> quality;area <strong>and</strong> figure of the parcel; <strong>in</strong>frastructure conditions; legal factors; transacted <strong>price</strong> <strong>and</strong>transaction time. Total number of samples exam<strong>in</strong>ed <strong>in</strong> our analysis is 1,543, which areselected from among 5,948 samples. The reasons for select<strong>in</strong>g the data from the orig<strong>in</strong>al dataare first because some of the properties <strong>in</strong> the orig<strong>in</strong>al dataset are located outside of ourresearch zones, <strong>and</strong> second because we selected only valid data for our analysis <strong>in</strong>clud<strong>in</strong>g allnecessary <strong>in</strong>formation such as the address of the <strong>property</strong>. The <strong>price</strong> distribution of sampledata with the zone-based share is shown <strong>in</strong> Figure 2. Figure 2 shows that the <strong>property</strong> <strong>price</strong> <strong>in</strong><strong>Hanoi</strong> varies <strong>in</strong> a wide range, from less than 30 million VND per square meter up to morethan 250 million VND per square meter <strong>and</strong> ma<strong>in</strong>ly focused <strong>in</strong> the range less than 50 millionper square meter. It is also shown that the <strong>property</strong> <strong>price</strong>s <strong>in</strong> two areas: outer dyke area <strong>and</strong>new area built after 1990 vary <strong>in</strong> a very narrow range from less than 30 million to 30-50million VND, whereas <strong>in</strong> other areas the <strong>price</strong>s greatly vary. The <strong>price</strong> <strong>in</strong> Area built 1960 -1990 varies from less than 30 million to 90-110 million VND. In French quarter area, the<strong>price</strong>s are slightly higher than the average <strong>price</strong> <strong>and</strong> vary <strong>in</strong> a wider range from less than 30million to 150-200 million VND. In contrast to other areas, the <strong>property</strong> <strong>price</strong>s <strong>in</strong> Ancient areaare rather higher, vary<strong>in</strong>g <strong>in</strong> slightly narrower range compared to that of French quarter, from70-90 million to more than 250 million VND. These show that the <strong>property</strong> <strong>price</strong>s decrease asthe distance from the city center <strong>in</strong>creases. Note that the <strong>property</strong> <strong>price</strong> <strong>in</strong> <strong>Hanoi</strong> is higherthan the average <strong>in</strong>come level of the city (Sieu, 2006). The average household <strong>in</strong>come of25.00%20.004.393.38Outer dyke areaNew area built after 1990Area built 1960-1990French QuarterAncient Quarter15.0010.0014.8611.492.365.070.683.720.340.689.465.000.001.352.703.046.427.092.360.341.693.04 3.042.033.042.36 2.032.030.00 0.00 0.000.680.00250<strong>L<strong>and</strong></strong> Price (Million VND/m 2 )Figure 2 Property <strong>price</strong> distributions of sample data


<strong>Hanoi</strong> City is 2.5 million VND per month (<strong>Hanoi</strong> Statistical Office, 2005),.4.2.2 Impact of Accessibility to Adjacent Street on Property PriceAccessibility to transportation network is one of factors that generally have big impacts on the<strong>property</strong> <strong>price</strong>. In the case of <strong>Hanoi</strong>, due to the poor public transportation provided <strong>and</strong> thelack of road network ratio <strong>in</strong> almost the whole city, we expect that the accessibility from thehouse to the street is one of the most important factors. Accord<strong>in</strong>g to the def<strong>in</strong>itions made bythe City government, there are the four types of locations shown <strong>in</strong> Figure 3. Location 1 is thehouse along the street, usually a mixed-use house for commercial or both commercial <strong>and</strong>residential purposes, whereas the other locations 2, 3, <strong>and</strong> 4 are ma<strong>in</strong>ly for residential use.The relationship between <strong>property</strong> <strong>price</strong> of location1 <strong>and</strong> <strong>property</strong> <strong>price</strong>s of location 2, 3, <strong>and</strong>4 <strong>in</strong> Ancient Quarter is shown <strong>in</strong> Figure 4. First, the <strong>property</strong> <strong>price</strong> of location 1 always hashigher <strong>price</strong> than any other locations <strong>in</strong> the same street. This is because location 1 can be usedfor bus<strong>in</strong>ess activities like a shop or rental office at which the people can earn. Second, the<strong>price</strong>s of house decrease as the accessibility to the street decreases from location 1 to otherlocations; the cheapest <strong>price</strong> usually is observed at the house <strong>in</strong> location 4. Price of housesStreet1123>3.5 m2 - 3.5 mNotes:Location 1: House has at least one side on thestreet;Location 2: House has at least one side on thealleys, which the m<strong>in</strong>imum widthis more than 3.5 m;Location 3: House has at least one side on thealleys, which the m<strong>in</strong>imum widthis from 2 to 3.5 m;Location 4: House has at least one side on thealleys, which the m<strong>in</strong>imum widthis less than 2 m.4 < 2mloericptyeproP300,0004dn 250,000a,32 )2 200,000n/mtioDacN150,000V0,0100,000(150,000Figure 3 Def<strong>in</strong>itions of <strong>property</strong> locationsLP2 LP3 LP400 50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000 450,000 500,000Property <strong>price</strong> location 1 (1,000VND/m2)Figure 4 Property <strong>price</strong> of location 1 versus <strong>property</strong> <strong>price</strong>s of locations 2, 3 <strong>and</strong> 4<strong>in</strong> Ancient quarter


located <strong>in</strong> location 2, which mostly used for residential purpose but easily access to street, hasstrongly correlation with houses <strong>in</strong> location 1. While the houses <strong>in</strong> location 3 <strong>and</strong> 4 havefewer correlations with <strong>price</strong> of the first location. Third, <strong>in</strong> some special streets with thehighest <strong>property</strong> <strong>price</strong> of <strong>Hanoi</strong>, although <strong>price</strong> of location 1 is extremely high but there is abig gap between the <strong>price</strong> of location 1 <strong>and</strong> the house <strong>in</strong> the back side.4.2.3 Estimation of Property-Price FunctionsThe hedonic <strong>price</strong> method is used for estimat<strong>in</strong>g the <strong>property</strong>-<strong>price</strong> functions. The hedonic<strong>price</strong> method hypothesizes the <strong>property</strong> <strong>price</strong> as a function of a bundle of attributes, whichcan be thought of as made up of two parts: <strong>in</strong>ternal factors <strong>and</strong> external factors (Rosen, 1974;Kanemoto, 1988). The <strong>in</strong>ternal factors consist of house physical characteristics, such as housearea <strong>and</strong> the number of floors whereas the external factors embrace the factors of thetransportation accessibility <strong>and</strong> environment of the neighbourhood.The variables used <strong>in</strong> the estimation <strong>in</strong> our study are def<strong>in</strong>ed <strong>in</strong> Table 1. Location is def<strong>in</strong>edby follow<strong>in</strong>g the Government’s def<strong>in</strong>ition shown <strong>in</strong> Figure 3 as: Location 1 = 1; Location 2 =2; Location 3 = 3; Location 4 = 4. Distance is def<strong>in</strong>ed as 0 if the house located along thestreet; 1 if the distance from <strong>property</strong> to the nearest street is less than 50 m; 2 if the distancefrom <strong>property</strong> to nearest street is from 50 to 100 m; 3 if the distance from <strong>property</strong> to neareststreet is from 100 to 150 m; <strong>and</strong> 4 if the distance from <strong>property</strong> to nearest street is more than150 m. Direction is def<strong>in</strong>ed as 1 if the <strong>property</strong> faces the southeast direction; <strong>and</strong> 0 if not. Thisvariable is <strong>in</strong>troduced because <strong>Vietnam</strong>ese prefer the house which faces to the South, East,<strong>and</strong> Southeast directions rather than other direction. It may reflect the climate <strong>in</strong> <strong>Vietnam</strong>which is characterized by a strong monsoon <strong>in</strong>fluence, <strong>and</strong> divided <strong>in</strong>to dist<strong>in</strong>guished seasons:Table 1 Def<strong>in</strong>itions of variables used <strong>in</strong> the estimation of <strong>property</strong> <strong>price</strong> functionsVariables Def<strong>in</strong>itions Data sourcesHous<strong>in</strong>g characteristicsLocation Hous<strong>in</strong>g location to the street HAF 2005Distance Distance from house to the nearest street HAF 2005Shape Shape of the house (length/width) HAF 2005 + CalculatedLot Area of the house (m 2 ) HAF 2005Floor Number of floors HAF 2005 + CalculatedDirection Direction of the house HAF 2005Year Built year of the house (year) HAF 2005Type Structure of the house HAF 2005Legal Hous<strong>in</strong>g ownership HAF 2005Price Property <strong>price</strong> (Million VND/m 2 ) HAF 2005Neighborhood characteristicsRoadRatio Road area ratio (%) HAIDEPWaterSup Water supply – People’ assessment <strong>in</strong>dex HAIDEPSafety Safety/ Security – People’ assessment <strong>in</strong>dex HAIDEPAirQua Air quality – People’ assessment <strong>in</strong>dex HAIDEPFlood Flood vulnerability– People ‘assessment <strong>in</strong>dex HAIDEPAccessibilitiesCBD Distance to the city center (m) CalculatedLake Distance to the nearest lake (m) CalculatedWork To work travel time (m<strong>in</strong>) HAIDEPHospital Access to Health Care – People’ assessment <strong>in</strong>dex HAIDEPPark Access to Park <strong>and</strong> Green space – People’ assessment <strong>in</strong>dex HAIDEPSchool Access to school – People’ assessment <strong>in</strong>dex HAIDEPTransit Access to Public Transport – People’ assessment <strong>in</strong>dex HAIDEPNotes: HAF 2005 means <strong>Hanoi</strong> Authority of F<strong>in</strong>ance (2005) <strong>and</strong> HAIDEP means JICA (2005).


cold <strong>and</strong> hot. Legal is def<strong>in</strong>ed as 1 if the house owns the l<strong>and</strong>-use right certificate; <strong>and</strong> 0 else.Then, the estimated results are shown <strong>in</strong> Table 2. The relationship between the estimated <strong>price</strong><strong>and</strong> observed <strong>price</strong> are also shown <strong>in</strong> Figure 5. First, the estimated results <strong>in</strong> Ancient quartershows that the variables <strong>in</strong>fluenc<strong>in</strong>g significantly the <strong>property</strong> <strong>price</strong>s are Location, Age, Work,Transit, Roadratio <strong>and</strong> WaterSup. The reason for Floor is absent <strong>in</strong> the Ancient quarter isunderst<strong>and</strong>able s<strong>in</strong>ce most of houses <strong>in</strong> this zone are shared-used houses. Households liv<strong>in</strong>gthere usually own only one or two rooms <strong>in</strong>side the house for residence; they have to sharethe common spaces as staircase, lobby, <strong>and</strong> toilet. Thus, the <strong>property</strong> <strong>price</strong> <strong>in</strong> Ancient quarterma<strong>in</strong>ly does not depend on Floor. The absent of Distance <strong>in</strong> Ancient quarter is alsoreasonable. In Ancient quarter, the most of houses ma<strong>in</strong>ly are tube-house <strong>and</strong> there are notlong alleys, so that distance from the house to the street usually around 50 m. As a result, thisfactor does not have many impacts on <strong>property</strong> <strong>price</strong>. Second, the results <strong>in</strong> French quartershows that the significant factors are CBD, Distance, Floor, Legal, Location, Lot, Park,Roadratio, Shape <strong>and</strong> Work. The high fitness of the estimated function may mean that theproperties <strong>in</strong> French quarter are traded <strong>in</strong> more reasonable or transparent way than other area.Third, the results <strong>in</strong> Area built dur<strong>in</strong>g 1960-1990 shows that Built, Distance, Floor, Location,Safety, WaterSup are the significant factors. Figure 5 shows that the properties with over 120million VND/m 2 are underestimated although the most data are scattered around thecorrelation l<strong>in</strong>e. By check<strong>in</strong>g the data sources, we found that the most of properties with high<strong>property</strong> <strong>price</strong>s are located ma<strong>in</strong>ly at the three streets named Kim Ma, Dang Van Ngu <strong>and</strong> VoThi Sau. These streets are located at the busiest areas <strong>in</strong> the zone <strong>and</strong> have extremely high<strong>price</strong>s compared to others. One of the hypothetical reasons for the underestimated <strong>price</strong>s ofthose properties is because they are traded <strong>in</strong> the different manners from other properties.Then, we re-estimated the <strong>price</strong> function after elim<strong>in</strong>at<strong>in</strong>g these samples. However, thecorrelation coefficient was not much improved (R 2 = 0.47). The further exam<strong>in</strong>ation isTable 2 Estimation results of hedonic <strong>property</strong> <strong>price</strong> functionsAncient quarterFrench quarterArea built dur<strong>in</strong>g1960-1990Area built after1990Outer dyke areaVariables Coeff. t-stat. Coeff. t-stat. Coeff. t-stat. Coeff. t-stat. Coeff. t-stat.CBD -0.01 -7.66Built 0.29 3.28 0.30 2.37Distance -5.65 -4.00 -3.01 -2.80 -6.01 -7.31Flood 12.45 2.30Floor 4.14 4.58 3.29 2.75 2.82 3.00 29.61 18.63Legal 10.93 5.48Location -25.22 -16.02 -16.95 -18.16 -12.41 -8.77 -12.52 -15.21Lot 0.12 8.02Park 13.56 2.91RoadRatio 6.37 5.89 3.14 14.52 1.41 5.77Safety 18.99 2.75School 18.77 2.15Shape -2.41 -4.18 -0.50 -1.94Transit 40.34 2.96WaterSup 46.41 2.16 9.29 3.68 5.14 3.20Work -5.81 -9.85 -4.15 -7.65 -0.96 -2.83Constant -478.98 -2.72 140.51 10.35 -534.06 -2.12 69.15 8.16 -10.81 -1.52R-squared 0.71 0.80 0.41 0.59 0.88Number of data 202 449 518 256 118


equired to identify the reasons. Fourth, the significant factors <strong>in</strong> Area built after 1990 areFloor, Location, Roadratio, Shape, WaterSup <strong>and</strong> Work. It should be noted that the roadnetwork has been properly designed <strong>in</strong> this zone <strong>and</strong> therefore, apart from Location, the roadnetwork plays the most significant roles for people choos<strong>in</strong>g the house to live. Besides, thiszone is called the new urban development area that has recently been built. It is expected thatpeople liv<strong>in</strong>g <strong>in</strong> this zone th<strong>in</strong>ks more of lot size of the house rather than the accessibility toCBD. F<strong>in</strong>ally, the estimation results <strong>in</strong> Outer dyke area shows that Flood, Floor, Legal <strong>and</strong>School significantly <strong>in</strong>fluences the <strong>property</strong> <strong>price</strong>s. It is reasonable that Floor becomes very350.00350.00300.00)2/mD 250.00NilṾ200.00(Mericp 150.00derves 100.00bO50.00300.00)2/m250.00NDilṾ200.00(Mericp 150.00derves 100.00vO50.000.000.00 50.00 100.00 150.00 200.00 250.00 300.00 350.00Estimated <strong>price</strong> (Mill. VND/m2)200.000.000.00 50.00 100.00 150.00 200.00 250.00 300.00 350.00Estimated <strong>price</strong> (Mill.VND/m2)120.00)2150.00/mDNilṾ(M100.00ericPderves 50.00bO)2/mDNilṾ(MericpdervesbO100.0080.0060.0040.0020.000.000.00 50.00 100.00 150.00 200.00Estimate <strong>price</strong> (Mill.VND/m2)200.000.000.00 20.00 40.00 60.00 80.00 100.00 120.00Estimated <strong>price</strong> (Mill.VND/m2))2 150.00/mDNilṾ(M100.00ericpderves 50.00bO0.000.00 50.00 100.00 150.00 200.00Estimated <strong>price</strong> (Mill.VND/m2)Figure 5 Estimated <strong>property</strong> <strong>price</strong>s versus observed <strong>property</strong> <strong>price</strong>s


high significant <strong>in</strong> Outer dyke area s<strong>in</strong>ce this zone is usually <strong>in</strong>undated under the water about2-3 m dur<strong>in</strong>g flood season. Additionally, as there are many low-<strong>in</strong>come residents <strong>in</strong> this zone,the accessibility to school is also critical for them. The reason for the high correction rateprobably reflects the fact that the <strong>property</strong> <strong>price</strong> <strong>in</strong> this area is clearly dependent on the liv<strong>in</strong>gconditions <strong>in</strong>clud<strong>in</strong>g the explanative variables used <strong>in</strong> our analysis.4.2.4 DiscussionsFirst, Location <strong>and</strong> Floor are <strong>in</strong>cluded <strong>in</strong> the estimated <strong>price</strong> functions of four zones out offive. Especially, Location has high t-statistics <strong>in</strong> the four zones. This reflects the highconcerns of local people with house location as we expected earlier. Second, <strong>in</strong> terms ofneighbourhood characteristics, Roadratio <strong>and</strong> WaterSup are significant <strong>in</strong> the estimatedfunctions. This is probably because local people consider these two factors more seriouslythan others s<strong>in</strong>ce <strong>Hanoi</strong> has <strong>in</strong>adequate road network <strong>and</strong> water supply systems. Third, Safety,AirQuality <strong>and</strong> Food, which are related to environment conditions, have no impact on<strong>property</strong> <strong>price</strong> <strong>in</strong> all zones. It is unexpected that Direction has no impacts on the <strong>property</strong><strong>price</strong> <strong>in</strong> our proposed functions. It is also unexpected that Legal is significant only <strong>in</strong> Frenchquarter. These may mean less concern of local people with these factors when buy<strong>in</strong>g theproperties. Fourth, the accessibility factors such as CBD, Park, School, <strong>and</strong> Transit appearonly once <strong>in</strong> <strong>price</strong> function while Hospital does not appear at all. This means that the localpeople do not care the accessibility to the nearest service from their homes. Actually, forexample, local people usually do not go to the nearest medical care facilities but choose abetter service even if the service is provided at further places. F<strong>in</strong>ally, the distance to CBDdoes not <strong>in</strong>fluence the <strong>property</strong> <strong>price</strong> <strong>in</strong> the estimated <strong>price</strong> functions although Figure 2 showsthat the longer the distance from city center is, the lower the <strong>property</strong> <strong>price</strong> would be. Notethat this does not hold true <strong>in</strong> Outer Dyke zone due to its own characteristics. Why does thisdifference occur? One of the reasons is because the variation of distances <strong>in</strong> a zone is toosmall. The distances to CBD with<strong>in</strong> the zone vary <strong>in</strong> a narrow range from 2 to 7 km. This maybe too small for local residents to f<strong>in</strong>d the difference <strong>in</strong> distance to CBD. Other reason isbecause the <strong>property</strong> <strong>price</strong> <strong>in</strong> <strong>Hanoi</strong> is not directly affected by the distance to CBD but itmight be <strong>in</strong>fluenced by psychological factors. They may <strong>in</strong>clude the historical status <strong>and</strong> thelife style <strong>in</strong> Ancient quarter.5. CONCLUSIONSThis paper reviews the past <strong>and</strong> current l<strong>and</strong> policies <strong>in</strong> <strong>Hanoi</strong>, <strong>Vietnam</strong> <strong>and</strong> analyzes the local<strong>property</strong> <strong>price</strong>s to f<strong>in</strong>d the ma<strong>in</strong> factors affect<strong>in</strong>g the local l<strong>and</strong> market. The <strong>in</strong>stitutionsregard<strong>in</strong>g l<strong>and</strong> market have been chang<strong>in</strong>g dramatically for several decades <strong>in</strong> <strong>Vietnam</strong> <strong>and</strong> itcauses various problems <strong>in</strong>clud<strong>in</strong>g <strong>in</strong>stable <strong>property</strong> <strong>price</strong>s. The current <strong>property</strong> <strong>price</strong>evaluation <strong>in</strong> <strong>Hanoi</strong> reflects the real dem<strong>and</strong> of the market while try<strong>in</strong>g to meet therequirements of <strong>L<strong>and</strong></strong> Law. However, it still suffers from the lack of data <strong>and</strong> knowledge onl<strong>and</strong> market. Then, the <strong>property</strong> <strong>price</strong> is analyzed to underst<strong>and</strong> the <strong>property</strong> <strong>price</strong> structurewith the hedonic <strong>price</strong> method. The <strong>property</strong> <strong>price</strong> functions are estimated <strong>in</strong> five zones <strong>in</strong><strong>Hanoi</strong>. The results show that various factors such as the location from the nearest street,number of floors <strong>and</strong> road ratio impact significantly the <strong>property</strong> <strong>price</strong>s. The results from<strong>property</strong> <strong>price</strong> analysis <strong>in</strong>dicate that, <strong>in</strong> pr<strong>in</strong>ciple, the prelim<strong>in</strong>ary formed <strong>property</strong> market <strong>in</strong><strong>Hanoi</strong> has been established to some extent. In all zones, the major factors controll<strong>in</strong>g the<strong>property</strong> <strong>price</strong> are well def<strong>in</strong>ed. The correlation coefficient of <strong>property</strong> <strong>price</strong> functions derivedfrom multiple regression analyses on hedonic <strong>price</strong> models <strong>in</strong> these zone are at the acceptablelevel. However, the fitness of the estimated <strong>price</strong> functions <strong>in</strong> Area built dur<strong>in</strong>g 1960-1990 isnot good. We should exam<strong>in</strong>e the factors affect<strong>in</strong>g the <strong>property</strong> <strong>price</strong> <strong>in</strong> this area more <strong>in</strong>


details.F<strong>in</strong>ally, it should be noted that the <strong>property</strong> <strong>price</strong> <strong>in</strong> Ancient quarter is extremely highalthough this zone has poor liv<strong>in</strong>g conditions. Ancient quarter has also a very strict build<strong>in</strong>gregulation due to the historical preservation <strong>policy</strong> of <strong>Hanoi</strong> adm<strong>in</strong>istration. To expla<strong>in</strong> theexceptionally high <strong>property</strong> <strong>price</strong> <strong>in</strong> Ancient quarter, it may be necessary to account for otherfactors that affect the local people’s decision-mak<strong>in</strong>g regard<strong>in</strong>g the residential choice. Theymay <strong>in</strong>clude the social <strong>and</strong> bus<strong>in</strong>ess aspects, residence component, liv<strong>in</strong>g style, etc (Phe <strong>and</strong>Nishimura, 1990). This is also one of the rema<strong>in</strong><strong>in</strong>g topics that should be tackled with.ACKNOWLEDGEMENTSThis paper was a part of the Master thesis completed by one of the authors at the Departmentof Civil Eng<strong>in</strong>eer<strong>in</strong>g, the University of Tokyo. The authors greatly appreciate Mrs. PhamNgoc Bao (a senior expert of <strong>Hanoi</strong> Authority for F<strong>in</strong>ance) for allow<strong>in</strong>g us to use valuabledata about <strong>property</strong> <strong>price</strong> <strong>in</strong> <strong>Hanoi</strong>. We also thank Japan International Cooperation Agency<strong>and</strong> ALMEC Corporation for support<strong>in</strong>g the data of The Comprehensive Urban DevelopmentProgramme <strong>in</strong> <strong>Hanoi</strong> (HAIDEP).REFERENCESBoothroyd, P. <strong>and</strong> Pham, X. N. (2000) Socioeconomic Renovation <strong>in</strong> Viet Nam: TheOrig<strong>in</strong>, Evolution <strong>and</strong> Impact of Doi Moi, International Development Research Centre,Institute of Southeast Asian Studies.Do, Q. T. <strong>and</strong> Iyer, L. (2003) <strong>L<strong>and</strong></strong> rights <strong>and</strong> economic development: Evidence from<strong>Vietnam</strong>, World Bank Policy Research Work<strong>in</strong>g Paper, No. 3120.General Department for <strong>L<strong>and</strong></strong> Adm<strong>in</strong>istration (2000) <strong>Vietnam</strong> – <strong>L<strong>and</strong></strong> Adm<strong>in</strong>istration, TheAustralian Government’s Overseas Aid Program, Work<strong>in</strong>g paper No.4.<strong>Hanoi</strong> Authority for Urban Plann<strong>in</strong>g <strong>and</strong> Architecture (2006) <strong>Hanoi</strong> urban hous<strong>in</strong>gdevelopment project, Report to <strong>Hanoi</strong> Peoples’ Committee (<strong>in</strong> <strong>Vietnam</strong>ese).<strong>Hanoi</strong> People’s Committee (2000) Urban Hous<strong>in</strong>g Development Program 2000-2010 (<strong>in</strong><strong>Vietnam</strong>ese).<strong>Hanoi</strong> Statistical Office (2005) Statistical yearbooks 2005.Honbo D. <strong>and</strong> Cor<strong>in</strong>ne, M. (2006) Relationship between transport accessibility <strong>and</strong> l<strong>and</strong>value: Local model approach with geographically weighted regression, TransportationResearch Record: Journal of the Transportation Research Board, No.1997,Wash<strong>in</strong>gton D. C., pp.197-205.Japan International Cooperation Agency (JICA) (2005) Comprehensive UrbanDevelopment Programme <strong>in</strong> <strong>Hanoi</strong> Capital City (HAIDEP), Summary of Interimreport.Kanemoto, Y. (1988) Hedonic <strong>price</strong>s <strong>and</strong> the benefits of public projects, Econometrica,Vol.56, No.4, pp. 981-989.Nguyen, Q. <strong>and</strong> Hans, D. K. (2002) Changes <strong>in</strong> the political economy of <strong>Vietnam</strong> <strong>and</strong> theirimpacts on the built environment of <strong>Hanoi</strong>, Cities, Vol. 19, No. 6, p. 373–388.Phe, H. H. (2002) Investment <strong>in</strong> residential <strong>property</strong>: taxonomy of home improvers <strong>in</strong> Central<strong>Hanoi</strong>, Habitat International, Vol. 26, pp. 471-486Phe, H. H. <strong>and</strong> Nishimura, Y. (1990) The historical environment <strong>and</strong> hous<strong>in</strong>g conditions <strong>in</strong> the“36 Old Streets” quarter of <strong>Hanoi</strong>, Research Paper of Human Settlements Development


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