Factors affecting commercial housing prices in Vietnam
Purpose The study aims to identify the affecting factors and their impact rates on the commercial housing prices. The study also aims to suggest implications related to commercial housing prices to develop the commercial housing market. Design/methodology/approach The study investigates housing inve...
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| Veröffentlicht in: | International journal of housing markets and analysis 2022-12, Vol.15 (5), p.1019-1032 |
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| container_title | International journal of housing markets and analysis |
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| creator | Nam, Pham Phuong Phuong, Tran Trong |
| description | Purpose
The study aims to identify the affecting factors and their impact rates on the commercial housing prices. The study also aims to suggest implications related to commercial housing prices to develop the commercial housing market.
Design/methodology/approach
The study investigates housing investors, real estate agents and buyers to identify factors that might affect commercial housing prices. The proposed research model has 7 latent factors and is tested by Cronbach' alpha and exploratory factor analysis by SPSS20.0 software.
Findings
There are 7 groups with 24 factors affecting commercial housing prices. The neighboring factor group has the greatest impact rate (18.54%); the housing service group has the lowest impact rate (11.48%).
Research limitations/implications
The study has only determined the affecting factors and their impact rates on commercial housing prices in Bac Ninh city. Therefore, it is necessary to conduct research on factors affecting commercial housing prices in other provinces and cities of Vietnam in the coming time. In addition, the proposed research method can also be consulted when it is necessary to determine the factors affecting commercial housing prices in other countries around the world.
Practical implications
The study proposes some implications related to commercial housing prices such as commercial housing valuation; housing selection with suitable prices for people intending to buy houses; state support policies for commercial housing investors to develop commercial housing with reasonable prices.
Social implications
The implementing the implications proposed in the study will facilitate people's easier access to commercial housing; real estate investors do business more efficiently.
Originality/value
To the best of the authors’ knowledge, this paper presents for the first time a method to determine the affecting factors and their impact rates on commercial housing prices in Vietnam. The paper also points out a number of specific factors affecting commercial housing prices that are different from those shown in previous studies. |
| doi_str_mv | 10.1108/IJHMA-06-2021-0065 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2741313727</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2741313727</sourcerecordid><originalsourceid>FETCH-LOGICAL-c350t-31b242ef6233f5b7d8219979248d15b0d6e636c4cf9db41f4cb46527ecf83efa3</originalsourceid><addsrcrecordid>eNptkE9Lw0AQxRdRsFa_gKeA59Wd_Z9jKdZWKl7U67LZ7GpKk9Td5OC3N2lEEDzNMLw38-aH0DWQWwCi7zaP66cFJhJTQgETIsUJmoESDGuq89PfXpFzdJHSblBooekMyZV1XRtTZkPwrqua98y1de2jq-w--2j7NI4OsXI-ZVWTvVW-a2x9ic6C3Sd_9VPn6HV1_7Jc4-3zw2a52GLHBOkwg4Jy6oOkjAVRqFJTyHOVU65LEAUppZdMOu5CXhYcAncFl4Iq74JmPlg2RzfT3kNsP3ufOrNr-9gMJw1VHBgwRdWgopPKxTal6IMZAtc2fhkgZuRjjnwMkWbkY0Y-gwkmkx--tfvyf88fpuwbUjlmRQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2741313727</pqid></control><display><type>article</type><title>Factors affecting commercial housing prices in Vietnam</title><source>Standard: Emerald eJournal Premier Collection</source><creator>Nam, Pham Phuong ; Phuong, Tran Trong</creator><creatorcontrib>Nam, Pham Phuong ; Phuong, Tran Trong</creatorcontrib><description>Purpose
The study aims to identify the affecting factors and their impact rates on the commercial housing prices. The study also aims to suggest implications related to commercial housing prices to develop the commercial housing market.
Design/methodology/approach
The study investigates housing investors, real estate agents and buyers to identify factors that might affect commercial housing prices. The proposed research model has 7 latent factors and is tested by Cronbach' alpha and exploratory factor analysis by SPSS20.0 software.
Findings
There are 7 groups with 24 factors affecting commercial housing prices. The neighboring factor group has the greatest impact rate (18.54%); the housing service group has the lowest impact rate (11.48%).
Research limitations/implications
The study has only determined the affecting factors and their impact rates on commercial housing prices in Bac Ninh city. Therefore, it is necessary to conduct research on factors affecting commercial housing prices in other provinces and cities of Vietnam in the coming time. In addition, the proposed research method can also be consulted when it is necessary to determine the factors affecting commercial housing prices in other countries around the world.
Practical implications
The study proposes some implications related to commercial housing prices such as commercial housing valuation; housing selection with suitable prices for people intending to buy houses; state support policies for commercial housing investors to develop commercial housing with reasonable prices.
Social implications
The implementing the implications proposed in the study will facilitate people's easier access to commercial housing; real estate investors do business more efficiently.
Originality/value
To the best of the authors’ knowledge, this paper presents for the first time a method to determine the affecting factors and their impact rates on commercial housing prices in Vietnam. The paper also points out a number of specific factors affecting commercial housing prices that are different from those shown in previous studies.</description><identifier>ISSN: 1753-8270</identifier><identifier>EISSN: 1753-8289</identifier><identifier>EISSN: 1753-8270</identifier><identifier>DOI: 10.1108/IJHMA-06-2021-0065</identifier><language>eng</language><publisher>Bingley: Emerald Publishing Limited</publisher><subject>Economic conditions ; Estate agencies ; Factor analysis ; Home buyers ; Housing ; Housing needs ; Housing prices ; Polls & surveys ; Pricing ; Questionnaires ; Real estate ; Socioeconomic factors ; Supply & demand ; Variables</subject><ispartof>International journal of housing markets and analysis, 2022-12, Vol.15 (5), p.1019-1032</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c350t-31b242ef6233f5b7d8219979248d15b0d6e636c4cf9db41f4cb46527ecf83efa3</citedby><cites>FETCH-LOGICAL-c350t-31b242ef6233f5b7d8219979248d15b0d6e636c4cf9db41f4cb46527ecf83efa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/IJHMA-06-2021-0065/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,777,781,21676,27905,27906,53225</link.rule.ids></links><search><creatorcontrib>Nam, Pham Phuong</creatorcontrib><creatorcontrib>Phuong, Tran Trong</creatorcontrib><title>Factors affecting commercial housing prices in Vietnam</title><title>International journal of housing markets and analysis</title><description>Purpose
The study aims to identify the affecting factors and their impact rates on the commercial housing prices. The study also aims to suggest implications related to commercial housing prices to develop the commercial housing market.
Design/methodology/approach
The study investigates housing investors, real estate agents and buyers to identify factors that might affect commercial housing prices. The proposed research model has 7 latent factors and is tested by Cronbach' alpha and exploratory factor analysis by SPSS20.0 software.
Findings
There are 7 groups with 24 factors affecting commercial housing prices. The neighboring factor group has the greatest impact rate (18.54%); the housing service group has the lowest impact rate (11.48%).
Research limitations/implications
The study has only determined the affecting factors and their impact rates on commercial housing prices in Bac Ninh city. Therefore, it is necessary to conduct research on factors affecting commercial housing prices in other provinces and cities of Vietnam in the coming time. In addition, the proposed research method can also be consulted when it is necessary to determine the factors affecting commercial housing prices in other countries around the world.
Practical implications
The study proposes some implications related to commercial housing prices such as commercial housing valuation; housing selection with suitable prices for people intending to buy houses; state support policies for commercial housing investors to develop commercial housing with reasonable prices.
Social implications
The implementing the implications proposed in the study will facilitate people's easier access to commercial housing; real estate investors do business more efficiently.
Originality/value
To the best of the authors’ knowledge, this paper presents for the first time a method to determine the affecting factors and their impact rates on commercial housing prices in Vietnam. The paper also points out a number of specific factors affecting commercial housing prices that are different from those shown in previous studies.</description><subject>Economic conditions</subject><subject>Estate agencies</subject><subject>Factor analysis</subject><subject>Home buyers</subject><subject>Housing</subject><subject>Housing needs</subject><subject>Housing prices</subject><subject>Polls & surveys</subject><subject>Pricing</subject><subject>Questionnaires</subject><subject>Real estate</subject><subject>Socioeconomic factors</subject><subject>Supply & demand</subject><subject>Variables</subject><issn>1753-8270</issn><issn>1753-8289</issn><issn>1753-8270</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNptkE9Lw0AQxRdRsFa_gKeA59Wd_Z9jKdZWKl7U67LZ7GpKk9Td5OC3N2lEEDzNMLw38-aH0DWQWwCi7zaP66cFJhJTQgETIsUJmoESDGuq89PfXpFzdJHSblBooekMyZV1XRtTZkPwrqua98y1de2jq-w--2j7NI4OsXI-ZVWTvVW-a2x9ic6C3Sd_9VPn6HV1_7Jc4-3zw2a52GLHBOkwg4Jy6oOkjAVRqFJTyHOVU65LEAUppZdMOu5CXhYcAncFl4Iq74JmPlg2RzfT3kNsP3ufOrNr-9gMJw1VHBgwRdWgopPKxTal6IMZAtc2fhkgZuRjjnwMkWbkY0Y-gwkmkx--tfvyf88fpuwbUjlmRQ</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Nam, Pham Phuong</creator><creator>Phuong, Tran Trong</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K6~</scope><scope>KC-</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>M0C</scope><scope>M2L</scope><scope>M7S</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20221201</creationdate><title>Factors affecting commercial housing prices in Vietnam</title><author>Nam, Pham Phuong ; Phuong, Tran Trong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c350t-31b242ef6233f5b7d8219979248d15b0d6e636c4cf9db41f4cb46527ecf83efa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Economic conditions</topic><topic>Estate agencies</topic><topic>Factor analysis</topic><topic>Home buyers</topic><topic>Housing</topic><topic>Housing needs</topic><topic>Housing prices</topic><topic>Polls & surveys</topic><topic>Pricing</topic><topic>Questionnaires</topic><topic>Real estate</topic><topic>Socioeconomic factors</topic><topic>Supply & demand</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nam, Pham Phuong</creatorcontrib><creatorcontrib>Phuong, Tran Trong</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Politics Collection</collection><collection>ProQuest Central Korea</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Politics Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Political Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>International journal of housing markets and analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nam, Pham Phuong</au><au>Phuong, Tran Trong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors affecting commercial housing prices in Vietnam</atitle><jtitle>International journal of housing markets and analysis</jtitle><date>2022-12-01</date><risdate>2022</risdate><volume>15</volume><issue>5</issue><spage>1019</spage><epage>1032</epage><pages>1019-1032</pages><issn>1753-8270</issn><eissn>1753-8289</eissn><eissn>1753-8270</eissn><abstract>Purpose
The study aims to identify the affecting factors and their impact rates on the commercial housing prices. The study also aims to suggest implications related to commercial housing prices to develop the commercial housing market.
Design/methodology/approach
The study investigates housing investors, real estate agents and buyers to identify factors that might affect commercial housing prices. The proposed research model has 7 latent factors and is tested by Cronbach' alpha and exploratory factor analysis by SPSS20.0 software.
Findings
There are 7 groups with 24 factors affecting commercial housing prices. The neighboring factor group has the greatest impact rate (18.54%); the housing service group has the lowest impact rate (11.48%).
Research limitations/implications
The study has only determined the affecting factors and their impact rates on commercial housing prices in Bac Ninh city. Therefore, it is necessary to conduct research on factors affecting commercial housing prices in other provinces and cities of Vietnam in the coming time. In addition, the proposed research method can also be consulted when it is necessary to determine the factors affecting commercial housing prices in other countries around the world.
Practical implications
The study proposes some implications related to commercial housing prices such as commercial housing valuation; housing selection with suitable prices for people intending to buy houses; state support policies for commercial housing investors to develop commercial housing with reasonable prices.
Social implications
The implementing the implications proposed in the study will facilitate people's easier access to commercial housing; real estate investors do business more efficiently.
Originality/value
To the best of the authors’ knowledge, this paper presents for the first time a method to determine the affecting factors and their impact rates on commercial housing prices in Vietnam. The paper also points out a number of specific factors affecting commercial housing prices that are different from those shown in previous studies.</abstract><cop>Bingley</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/IJHMA-06-2021-0065</doi><tpages>14</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1753-8270 |
| ispartof | International journal of housing markets and analysis, 2022-12, Vol.15 (5), p.1019-1032 |
| issn | 1753-8270 1753-8289 1753-8270 |
| language | eng |
| recordid | cdi_proquest_journals_2741313727 |
| source | Standard: Emerald eJournal Premier Collection |
| subjects | Economic conditions Estate agencies Factor analysis Home buyers Housing Housing needs Housing prices Polls & surveys Pricing Questionnaires Real estate Socioeconomic factors Supply & demand Variables |
| title | Factors affecting commercial housing prices in Vietnam |
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