±¹¹® ÃÊ·Ï
¼¿ï½Ã ±âÁØÀ¸·Î ÃÖ±Ù ÁÖÅðǼ³½ÇÀûÀÇ À¯ÇüÀ» º¸¸é ¾à 40%~50%¸¦ Â÷ÁöÇÏ´Â ¸Å¿ì º¸ÆíÀûÀÎ À¯ÇüÀº ´Ù±â±¸¡¤´Ù¼¼´ëÁÖÅÃÀÌ´Ù. º» ¿¬±¸´Â ´Ù¼¼´ëÁÖÅÃÀÇ ¸Å¸Å°¡°Ý°áÁ¤¿äÀÎÀ» µµÃâÇÏ°í ±× ¿µÇâ¿äÀÎÀ» ÆÄ¾ÇÇÏ´Â °ÍÀ» ¿¬±¸ ¸ñÀûÀ¸·Î Çϰí ÀÖ´Ù. À̸¦ À§ÇØ ¼¿ï½Ã¿¡¼ ´Ù¼¼´ëÁÖÅà °ø±Þ·®ÀÌ ¸¹Àº 9°³ ±¸Áß ½Ç°Å·¡°¡°ÝÀÌ Á¶»çµÈ 118°³ÀÇ ÀڷḦ ½ÇÁõºÐ¼®ÇÏ¿´´Ù. Á¶»çµÈ µ¥ÀÌÅ͸¦ Åä´ë...
[´õº¸±â]
¼¿ï½Ã ±âÁØÀ¸·Î ÃÖ±Ù ÁÖÅðǼ³½ÇÀûÀÇ À¯ÇüÀ» º¸¸é ¾à 40%~50%¸¦ Â÷ÁöÇÏ´Â ¸Å¿ì º¸ÆíÀûÀÎ À¯ÇüÀº ´Ù±â±¸¡¤´Ù¼¼´ëÁÖÅÃÀÌ´Ù. º» ¿¬±¸´Â ´Ù¼¼´ëÁÖÅÃÀÇ ¸Å¸Å°¡°Ý°áÁ¤¿äÀÎÀ» µµÃâÇÏ°í ±× ¿µÇâ¿äÀÎÀ» ÆÄ¾ÇÇÏ´Â °ÍÀ» ¿¬±¸ ¸ñÀûÀ¸·Î Çϰí ÀÖ´Ù. À̸¦ À§ÇØ ¼¿ï½Ã¿¡¼ ´Ù¼¼´ëÁÖÅà °ø±Þ·®ÀÌ ¸¹Àº 9°³ ±¸Áß ½Ç°Å·¡°¡°ÝÀÌ Á¶»çµÈ 118°³ÀÇ ÀڷḦ ½ÇÁõºÐ¼®ÇÏ¿´´Ù. Á¶»çµÈ µ¥ÀÌÅ͸¦ Åä´ë·Î Áö¿ªÆ¯¼º, ÀÔÁöƯ¼º, °Ç¹°Æ¯¼º, ÁÖȣƯ¼ºÀ¸·Î ºÐ·ùÇÏ¿© Çìµµ´Ð¸ðÇüÀÇ ´ÙÁßȸ±ÍºÐ¼®À» ½Ç½ÃÇÏ¿´´Ù. ºÐ¼®°á°ú´Â ´ÙÀ½°ú °°´Ù.
ù°, ÁÖº¯ ¾ÆÆÄÆ® °¡°ÝÀÌ ´Ù¼¼´ëÁÖÅà ¸Å¸Å°¡°Ý¿¡ »ó´çÇÑ ¿µÇâÀ» ¹ÌÄ£´Ù. ¶ÇÇÑ Á÷Àü¿¬µµ ´Ù¼¼´ë°ø±Þ·®ÀÌ ÀÛÀ»¼ö·Ï ¸Å¸Å°¡°ÝÀÌ »ó½ÂÇÏ´Â °ÍÀ¸·Î Á¶»çµÇ¾ú´Ù.
µÑ°, ´ÜÀ§¸éÀû´ç Àü¿ë¸éÀûÀÌ ÀÛÀ»¼ö·Ï ¸Å¸Å°¡°ÝÀÌ ³ô°Ô ³ªÅ¸³µ´Ù. ÀÌ´Â ¾ÆÆÄÆ®ÀÇ °æ¿ì¿¡´Â Àü¿ë¸éÀûÀÌ Å¬¼ö·Ï ³ô°Ô ³ªÅ¸³ ±âÁ¸³í¹®°úÀÇ Â÷ÀÌÁ¡À¸·Î º¼ ¼ö ÀÖ´Ù.
¼Â°, ÃþÀº ³ôÀ»¼ö·Ï Àü¿ë¸éÀû´ç ¸Å¸Å°¡°ÝÀÌ »ó½ÂÇϰí, ½Â°±âÀ¯¹«µµ ¼³Ä¡µÈ °æ¿ì ¸Å¸Å°¡°ÝÀÌ ³ôÀº °ÍÀ¸·Î ³ªÅ¸³µ´Ù.
³Ý°, ´ë»ó ÁÖÅÃÀÇ ÀÔÁö°¡ ÆòÁöÀ» °æ¿ì Àü¿ë¸éÀû´ç ¸Å¸Å°¡°ÝÀÌ ³ô°í °Ç¹°ÀÇ Çâ(ú¾)µµ À¯ÀÇÇÏ°Ô ¿µÇâÀÌ ÀÖ´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù.
º» ¿¬±¸ÀÇ ÀÇÀÇ´Â ¾ÆÆÄÆ®À§ÁÖÀÇ ÁÖÅð¡°ÝÇü¼º¿äÀο¡ ´ëÇÑ ¿¬±¸¸¦ ÁÖÅÃÀ¯ÇüÀÇ ¸¹Àº ºÎºÐÀ» Â÷ÁöÇÔ¿¡µµ ºÒ±¸ÇÏ°í ¼Ò¿ÜµÇ¾î ¿Â ´Ù¼¼´ëÁÖÅÃÀ» ´ë»óÀ¸·Î ¿¬±¸ÇÏ¿© ±âÁ¸ÀÇ ¾ÆÆÄÆ®¿ÍÀÇ À¯»çÁ¡ ¹× Â÷ÀÌÁ¡À» ¾ð±ÞÇÏ¿´´Ù´Â Á¡À̶ó ÇÒ ¼ö ÀÖ´Ù.
[´Ý±â]
¿µ¹® ÃÊ·Ï
In Seoul, the multi-family housing is a general type which composes around 40¡50% of new housing constructions. This study examines what determines the transaction prices of the housing. We collect 11...
[´õº¸±â]
In Seoul, the multi-family housing is a general type which composes around 40¡50% of new housing constructions. This study examines what determines the transaction prices of the housing. We collect 118 actual transaction price samples in 9 boroughs, Seoul, which have a number of cases. We employ the Hedonic price model to analyze the samples in terms of area, location, building and household etc. Analysis results are as follows: First, the prices of neighbor apartments significantly influence the sale price of multi-family housing in the site. Second, the sale price per exclusive using area has the negative relationship with the exclusive using area. Third, the sale price per exclusive using area increases with the floor and elevators. Fourth, if the housing position is flatland, the sale price per exclusive using area is high and the direction of the housing has considerable influence as well.
[´Ý±â]
¸ñÂ÷
Abstract
¥°. ¼·Ð
¥±. ÀÌ·ÐÀû °íÂû
¥². ÀÚ·á ¹× ±âÃÊÅë°è·®
¥³. ºÐ¼®°á°ú
¥´. °á·Ð
Âü°í¹®Çå
±¹¹®¿ä¾à