Çѱ¹°æÁ¦Çк¸ Á¦ 32±Ç, Á¦ 2È£ (2025³â °¡À»)

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    ÀÓÇöÁØ, ±èÂù¿ì, Ȳ³ªÀ±, ÀÌÁ¤Çõ
    Pages ages 51-76
  • Abstract ( Eng | Kor ) || PDF
    • An Analysis of Housing Sales Price Spillover
      Lim Hyun-Joon, Kim Chanwoo, Hwang Na Yun, Lee Junghyuk


         This study measures the time-varying spillover effects between regions and between housing sales markets, which significantly influence housing price fluctuations, by estimating the DCC-GARCH model and TVP-VAR model and applying the spillover index. The results show that, as commonly believed, housing sales and rental prices in the Gangnam area and the Seoul metropolitan area exert strong influence on surrounding regions. Over time, the spillover effects were relatively smaller during periods of housing price decline, and the influence of the Gangnam area has been gradually decreasing in recent years. Additionally, the spillover effects of rental prices were found to be at a similar level to those of housing sales prices. These findings were consistent across both the DCC-GARCH model and the TVP-VAR model, demonstrating the robustness of the results to the choice of model. The results suggest that when formulating housing and regional development policies for specific areas, it is crucial to consider not only the direct effects on the targeted area but also the spillover effects on neighboring regions.
    •    º» ¿¬±¸´Â ÁÖÅð¡°Ý º¯µ¿¿¡ Å« ¿µÇâÀ» ¹ÌÄ¡´Â Áö¿ª°£, ¸Å¸Å½ÃÀå°£ ÀüÀÌÈ¿°ú (spillover)ÀÇ ½Ã°£º¯È­¸¦ DCC-GARCH ¸ðÇü ¹× TVP-VAR ¸ðÇüÀ¸·Î °¢°¢ ÃßÁ¤ ÇÑ ÈÄ ÀüÀÌÈ¿°ú Áö¼ö¸¦ Ȱ¿ëÇÏ¿© ÃøÁ¤ÇÏ¿´´Ù. ÃøÁ¤ °á°ú, °­³² ¹× ¼öµµ±ÇÀÇ ÁÖŸЏŠ¹× Àü¼¼°¡°ÝÀÌ ÁÖº¯¿¡ °­ÇÑ ¿µÇâÀ» ¹ÌÄ¡°í ÀÖ´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù. ½Ã±âº°·Î´Â ÁÖÅð¡°Ý Ç϶ô±â¿¡ ÀüÀÌÈ¿°ú°¡ »ó´ëÀûÀ¸·Î ÀÛ°Ô ³ªÅ¸³µÀ¸¸ç, °­³²Áö¿ªÀÇ ¿µÇâÀº ÃÖ±Ù Ãß¼¼ÀûÀ¸·Î °¨¼ÒÇϰí ÀÖ´Â °ÍÀ¸·Î ºÐ¼®µÇ¾ú´Ù. ¾Æ¿ï·¯ Àü¼¼°¡°ÝÀÇ ÀüÀÌÈ¿°ú ´Â ¸Å¸Å°¡°ÝÀÇ ÀüÀÌÈ¿°ú¿Í ºñ½ÁÇÑ ¼öÁØÀ¸·Î ºÐ¼®µÇ¾ú´Ù. ¶ÇÇÑ µ¿ °á°ú´Â DCC-GARCH ¸ðÇü°ú TVP-VAR ¸ðÇü¿¡¼­ ºñ½ÁÇÑ ¼öÁØÀ¸·Î ³ªÅ¸³ª ÃßÁ¤ °á°ú°¡ ¸ðÇüÀÇ Æ¯¼º¿¡ ´ëÇØ °­°ÇÇÑ °ÍÀ¸·Î ³ªÅ¸³µ´Ù. ÀÌ·¯ÇÑ °á°ú´Â ƯÁ¤ Áö¿ªÀÇ ÁÖÅà ¹× Áö¿ª°³¹ß Á¤Ã¥ ¼ö¸³½Ã ÇØ´ç Áö¿ª¿¡ ¹ÌÄ¡´Â Á÷Á¢ È¿°ú´Â ¹°·Ð ÁÖº¯ Áö¿ª¿¡ ´ëÇÑ ÀüÀÌÈ¿°ú µî ¿ÜºÎÈ¿°úµµ ÇÔ²² °í·ÁÇÏ´Â °ÍÀÌ Áß¿äÇÔÀ» ³ªÅ¸³½´Ù.
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    Pages 77-97
  • Abstract ( Eng | Kor ) || PDF
    • An Analysis of China's Fertility Determinants: A Focus on Women's Labor Force Participation
      Jia Hui Li, Joo Yeon Sun


         This study investigates the determinants of China¡¯s fertility rate using multiple linear regression, with a particular focus on female labor force participation. The analysis reveals that higher female labor force participation is positively associated with fertility. Fertility rates in the four major municipalities?Beijing, Shanghai, Chongqing, and Tianjin?remain lower than in other regions. The results also highlight significant regional disparities, emphasizing the importance of tailored population policies that consider local demographic and socioeconomic contexts. These findings suggest that declining fertility poses a critical social and economic challenge for China, requiring comprehensive policy interventions to support sustainable development. By providing empirical evidence on the interplay between female labor participation and fertility, this study contributes to a deeper understanding of population dynamics in the context of contemporary socioeconomic transformations.
    •    º» ¿¬±¸´Â Áß±¹ÀÇ Ãâ»êÀ² °áÁ¤ ¿äÀÎÀ» ½ÇÁõÀûÀ¸·Î ºÐ¼®ÇÏ¿´´Ù. ´ÙÁß¼±Çüȸ±Í¸ðÇü ºÐ¼®°á°ú, ¿©¼ºÀÇ ³ëµ¿·Â Âü¿©À²Àº Ãâ»êÀ²°ú À¯ÀÇÇÑ Á¤(+)ÀÇ °ü°è¸¦ º¸ÀÌ´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù. ÀÌ´Â ¿©¼ºÀÇ °æÁ¦È°µ¿ Âü¿©°¡ Áõ°¡ÇÒ¼ö·ÏÃâ»êÀ² ¿ª½Ã »ó½ÂÇÏ´Â °æÇâÀÌ ÀÖÀ½À» ÀǹÌÇϸç, ¿©¼ºÀÇ °í¿ë »óŰ¡ Ãâ»ê°áÁ¤¿¡ Áß¿äÇÑ ¿µÇâÀ» ¹ÌħÀ» ½Ã»çÇÑ´Ù. ƯÈ÷ º£ÀÌ¡, »óÇÏÀÌ, ÃæÄª, ÅãÁøµî °æÁ¦ ¹ßÀü ¼Óµµ°¡ ºü¸¥ 4´ë Á÷Çҽô ´Ù¸¥ Áö¿ª¿¡ ºñÇØ ³·Àº Ãâ»êÀ²À»º¸¿´À¸¸ç, ÀÌ´Â Áö¿ª Ư¼ºÀ» °í·ÁÇÑ ¸ÂÃãÇü Àα¸Á¤Ã¥ÀÇ Çʿ伺À» Á¦±âÇÑ´Ù. º» ¿¬±¸´Â Áß±¹ÀÇ Ãâ»êÀ² °¨¼Ò¸¦ ±¸Á¶Àû ¹®Á¦·Î ±ÔÁ¤ÇÏ°í ±× °áÁ¤ ¿äÀÎÀ»ºÐ¼®ÇÔÀ¸·Î½á ÇâÈÄ Ãâ»êÁ¤Ã¥ ¼ö¸³°ú Àα¸ ¿¬±¸¿¡ À¯¿ëÇÑ ÇмúÀû ±Ù°Å¸¦ Á¦°øÇÑ´Ù.
  •    º» ¿¬±¸´Â Áß±¹ÀÇ Ãâ»êÀ² °áÁ¤ ¿äÀÎÀ» ½ÇÁõÀûÀ¸·Î ºÐ¼®ÇÏ¿´´Ù. ´ÙÁß¼±Çüȸ±Í¸ðÇü ºÐ¼®°á°ú, ¿©¼ºÀÇ ³ëµ¿·Â Âü¿©À²Àº Ãâ»êÀ²°ú À¯ÀÇÇÑ Á¤(+)ÀÇ °ü°è¸¦ º¸ÀÌ´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù. ÀÌ´Â ¿©¼ºÀÇ °æÁ¦È°µ¿ Âü¿©°¡ Áõ°¡ÇÒ¼ö·Ï Ãâ»êÀ² ¿ª½Ã »ó½ÂÇÏ´Â °æÇâÀÌ ÀÖÀ½À» ÀǹÌÇϸç, ¿©¼ºÀÇ °í¿ë »óŰ¡ Ãâ»ê °áÁ¤¿¡ Áß¿äÇÑ ¿µÇâÀ» ¹ÌħÀ» ½Ã»çÇÑ´Ù. ƯÈ÷ º£ÀÌ¡, »óÇÏÀÌ, ÃæÄª, ÅãÁø µî °æÁ¦ ¹ßÀü ¼Óµµ°¡ ºü¸¥ 4´ë Á÷Çҽô ´Ù¸¥ Áö¿ª¿¡ ºñÇØ ³·Àº Ãâ»êÀ²À» º¸¿´À¸¸ç, ÀÌ´Â Áö¿ª Ư¼ºÀ» °í·ÁÇÑ ¸ÂÃãÇü Àα¸Á¤Ã¥ÀÇ Çʿ伺À» Á¦±âÇÑ´Ù. º» ¿¬±¸´Â Áß±¹ÀÇ Ãâ»êÀ² °¨¼Ò¸¦ ±¸Á¶Àû ¹®Á¦·Î ±ÔÁ¤ÇÏ°í ±× °áÁ¤ ¿äÀÎÀ» ºÐ¼®ÇÔÀ¸·Î½á ÇâÈÄ Ãâ»êÁ¤Ã¥ ¼ö¸³°ú Àα¸ ¿¬±¸¿¡ À¯¿ëÇÑ ÇмúÀû ±Ù°Å¸¦ Á¦°øÇÑ´Ù.
    • °¡Â¥´º½º¿Í Á¤Ä¡Àû ¾ç±ØÈ­
      Á¤´ë¿µ, ¹ÚÀμö
      Pages 99-128
    • Abstract ( Eng | Kor ) || PDF
      • Fake News and Political Polarization
        Daeyoung Jeong, Insoo Park


           This paper presents a theoretical analysis of the impact of fake news on electoral campaigns within networked communication. The foundational model involves strategic candidate selection and campaign planning by two political parties, with voters categorized into partisan and independent groups. Partisan voters receive information directly from party campaigns, while independent voters rely on interactions with partisans, resulting in a nuanced learning process. Our findings demonstrate a positive association between intensified communication and an increased production of fake news, highlighting the role of misinformation in exacerbating political polarization. Specifically, heightened communication between independent and partisan voters correlates with a higher likelihood of selecting extreme candidates in elections, accompanied by an increased prevalence of misinformation in political campaigns.
      •    º» ³í¹®Àº ³×Æ®¿öÅ© ±â¹Ý ¼ÒÅë ȯ°æ¿¡¼­ °¡Â¥ ´º½º°¡ ¼±°Å Ä·ÆäÀο¡ ¹ÌÄ¡´Â ¿µÇâÀ» ÀÌ·ÐÀûÀ¸·Î ºÐ¼®ÇÑ´Ù. ±âº» ¸ðÇüÀº µÎ Á¤´çÀÇ Àü·«Àû Èĺ¸ ¼±Á¤°ú Ä·ÆäÀÎ °èȹÀ» Æ÷ÇÔÇϸç, À¯±ÇÀÚ¸¦ ´çÆÄÀû À¯±ÇÀÚ¿Í µ¶¸³Àû À¯±ÇÀÚ·Î ±¸ºÐÇÑ´Ù. ´çÆÄÀû À¯±ÇÀÚ´Â Á¤´ç Ä·ÆäÀο¡¼­ Á÷Á¢ Á¤º¸¸¦ ¹ÞÁö¸¸, µ¶¸³Àû À¯±ÇÀÚ´Â ´çÆÄÀû À¯±ÇÀÚ¿ÍÀÇ »óÈ£ÀÛ¿ëÀ» ÅëÇØ Á¤º¸¸¦ ȹµæÇϸç, ÀÌ¿¡ µû¶ó ¹Ì¹¦ÇÑ ÇнÀ °úÁ¤ÀÌ Çü¼ºµÈ´Ù. ¿ì¸®ÀÇ ºÐ¼® °á°ú, ¼ÒÅëÀÇ °­µµ°¡ ³ô¾ÆÁú¼ö·Ï °¡Â¥ ´º½º »ý»êÀÌ Áõ°¡ÇÏ´Â ¾çÀÇ »ó°ü°ü°è°¡ °üÂûµÇ¸ç, ÀÌ´Â À߸øµÈ Á¤º¸°¡ Á¤Ä¡Àû ¾ç±ØÈ­¸¦ ¾ÇÈ­½ÃŰ´Â ¿ªÇÒÀ» °­Á¶ÇÑ´Ù. ±¸Ã¼ÀûÀ¸·Î µ¶¸³Àû À¯±ÇÀÚ¿Í ´çÆÄÀû À¯±ÇÀÚ °£ÀÇ Åë½ÅÀÌ °­È­µÉ¼ö·Ï ¼±°Å¿¡¼­ ±Ø´ÜÀû Èĺ¸ ¼±Ãâ °¡´É¼ºÀÌ ³ô¾ÆÁö°í, Á¤Ä¡ Ä·ÆäÀο¡¼­ ¿ÀÁ¤º¸ÀÇ È®»êÀÌ ´õ¿í µÎµå·¯Áø´Ù.


    The Korean Journal of Economics, Vol. 32, No. 2 (Autumn 2025)