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    Çѱ¹ ¿©¼ºÀÇ °æÁ¦È°µ¿ Âü°¡¿Í °æÁ¦¹ßÀü »çÀÌÀÇ UÀÚ °ü°è °¡¼³¿¡ ´ëÇÑ ½ÇÁõºÐ¼®
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    Pages 3-38
  • Abstract ( Eng | Kor ) || PDF
    • An Empirical Analysis on the U-Shape Hypothesis about the Relationship between Female Labor Force Participation and Economic Development in Korea
      Hyunji Kim, Seungmoon Choi, Junho Bae


         We have conducted an empirical analysis to test the hypothesis that female labor force participation rate has a U-shaped relationship with economic development in Korea. We made a panel data of GRDP per capita, female labor force participation rate and other control variables for 15 provinces or metropolitan cities using data from Population Census, Regional Income and Economically Active Population Survey of Statistics Korea and Seo (2018). There was no evidence that the U-shaped hypothesis holds in Korea. This study is meaningful in that it is the first paper to examine whether the U-shaped hypothesis can be applied to Korea.
    •    º» ¿¬±¸¿¡¼­´Â °æÁ¦¹ßÀü ´Ü°è¿¡ µû¶ó ¿©¼ºÀÇ ³ëµ¿½ÃÀå Âü°¡À²ÀÌ UÀÚ ÇüÅ ÀÇ ¸ð½ÀÀ» º¸Àδٴ °¡¼³ÀÌ ¿ì¸®³ª¶ó¿¡µµ Àû¿ëµÇ´ÂÁö ½ÇÁõ ºÐ¼®ÇÏ¿´´Ù. ÀÌ ¸¦ À§ÇØ, Åë°èûÀÇ Àα¸ ÃÑÁ¶»ç, Áö¿ª ¼Òµæ ±×¸®°í °æÁ¦È°µ¿Àα¸Á¶»ç ±×¸® °í ¼­¹Îö(2018)ÀÇ ÀÚ·áµéÀ» ÀÌ¿ëÇØ °æÁ¦¹ßÀü Á¤µµ¸¦ ³ªÅ¸³»´Â 1Àδç Áö ¿ª³»ÃÑ»ý»ê, ¿©¼ºÀÇ °æÁ¦È°µ¿ Âü°¡À²°ú ÀÌ¿¡ ¿µÇâÀ» ÁÖ´Â ´Ù¸¥ ÅëÁ¦ º¯¼ö µé¿¡ ´ëÇØ, ¿ì¸®³ª¶óÀÇ 15°³ ½Ã?µµ Áö¿ª ´ÜÀ§ ÆгΠÀڷḦ ±¸ÃàÇß´Ù. ºÐ ¼® °á°ú ¿ì¸®³ª¶ó¿¡¼­´Â UÀÚ °¡¼³ÀÌ ¼º¸³ÇÑ´Ù´Â Áõ°Å¸¦ ãÁö ¸øÇß´Ù. º» ¿¬±¸´Â ¿©¼ºÀÇ ³ëµ¿½ÃÀå Âü°¡¿¡ °üÇÑ UÀÚ °¡¼³ÀÌ Çѱ¹¿¡¼­µµ Àû¿ëµÇ´ÂÁö óÀ½À¸·Î °íÂûÇغ¸¾Ò´Ù´Â Á¡¿¡¼­ ÀÇÀǸ¦ °¡Áø´Ù.
    ÆгÎȸ±Í¸ðÇü¿¡ ÀÇÇÑ ±¹³»°æÁ¦ÀÇ ÃÑ¿ä¼Ò»ý»ê¼º ÃßÁ¤ ¹× Àü¸Á
    ¹Ú ¹« ȯ
    Pages 39-80
  • Abstract ( Eng | Kor ) || PDF
    • A Study of the Estimation and Projection of the Total Factor Productivity for the Korean Economy using Panel Regression Model
      Muhwan Park


         This study examines determinants of the total factor productivity growth (TFPG), focusing on panel regression analysis using the panel data of OECD countries and attempts to predict the TFPG in the Korean economy for the period of 2019-2067. To do that, we construct various panel regression models using an unbalanced panel data of 23 OECD countries including Korea over the 1985-2018 period in accordance with the availability of time series data. The panel regression analysis is conducted using the reduced form of TFPG over the estimation period. The approach is to estimate the TFPG in a function of determinant variables such as per capita income, degree of external openness, R&D, and old age population ratio etc., using panel regression methods. The major findings, based on the panel regression models, are as follows. First, the effects of the control variables on the TFPG has the signs that are expected such that the estimated coefficients for per capita income, external openness, R&D, are positive and that for old age population ratio is negative. Second, the average TFPG for the 2019-2067 period is predicted to be about 0.8% by following a continuous path of decline, under the National Statistics Office¡®s intermediate assumption for the future population. Third, the results of Monte Carlo simulation shows that the confidence interval of predicted mean value of the TFPG over the forecast period is 0.6¡­1.0% with a 95 percent probability.
    •    º» ¿¬±¸´Â OECD ±¹°¡µéÀÇ ÆгÎÀڷḦ ÀÌ¿ëÇÑ ÆгÎȸ±ÍºÐ¼®¿¡ ÃÊÁ¡À» µÎ °í ³»»ýÀû ¼ºÀåÀ̷п¡ µû¶ó ÃÑ¿ä¼Ò»ý»ê¼º Áõ°¡(TFPG)ÀÇ °áÁ¤¿äÀÎÀ» »ìÆì º¸°í, 2019¡­2067³â ±â°£¿¡ ´ëÇÏ¿© ±¹³» TFPG¿¡ ´ëÇÑ Àü¸ÁÀ» ½ÃµµÇÑ ´Ù. À̸¦ À§ÇØ ½Ã°è¿­ ÀÚ·áÀÇ °¡¿ë¼º¿¡ µû¶ó 1985¡­2018³â ±â°£¿¡ °ÉÃÄ ¿ì¸®³ª¶ó¸¦ ºñ·ÔÇÑ OECD 23 °³±¹ÀÇ ºÒ±ÕÇü ÆгÎÀڷḦ ÀÌ¿ëÇÏ¿© ´Ù¾çÇÑ ÆгÎȸ±Í¸ðÇüÀ» ±¸ÃàÇÑ´Ù. ÆгΠȸ±ÍºÐ¼®Àº ÃßÁ¤±â°£ µ¿¾È TFPGÀÇ Ãà¾à Çü ÆгÎȸ±Í¸ðÇüÀ» ÀÌ¿ëÇÏ¿© 1ÀÎ´ç ¼Òµæ, ´ë¿Ü°³¹æµµ, R&D, Àα¸³ë·ÉÈ­ µî °áÁ¤ÀÎÀÚµéÀÇ ÇÔ¼ö·Î TFPG¸¦ ÃßÁ¤ÇÑ´Ù. ÆгÎȸ±Í¸ðÇü¿¡ ÀÇÇÑ ÁÖ¿ä ¿¬ ±¸ °á°ú´Â ´ÙÀ½°ú °°´Ù. ù°, TFPG¿¡ ´ëÇÑ ÅëÁ¦º¯¼öµéÀÇ È¿°ú´Â ±â´ëÇÑ ¹Ù¿Í °°ÀÌ 1ÀÎ´ç ¼Òµæ, ´ë¿Ü°³¹æµµ, R&DÀÇ ÃßÁ¤°è¼ö´Â ¾ç(+), Àα¸³ë·É È­ÀÇ ÃßÁ¤°è¼ö´Â À½(-)À¸·Î ³ªÅ¸³µ´Ù. µÑ°, 2019¡­2067³â ±â°£ µ¿¾È Åë°èûÀÇ ¹Ì·¡ Àα¸¿¡ ´ëÇÑ ÁßÀ§ °¡Á¤ÇÏ¿¡ Áö¼ÓÀûÀÎ Ç϶ôÃß¼¼¿¡ ÀÇÇØ Æò±Õ TFPG´Â ¾à 0.8% ¼öÁØÀ¸·Î Àü¸ÁµÇ¾ú´Ù. ¼Â°, ¸óÅ×Ä®·Î(Monte Carlo) ½Ã¹Ä·¹ÀÌ¼Ç °á°ú, Àü¸Á ±â°£ µ¿¾È TFPGÀÇ Àü¸ÁÄ¡ Æò±ÕÀÇ 95% ½Å·Ú±¸°£ Àº 0.6¡­1.0%·Î ³ªÅ¸³µ´Ù.
    Çѱ¹ÀÇ ³óÁö°³ÇõÀÌ ÀÎÀûÀÚº»ÀÇ ÃàÀû¿¡ ¹ÌÄ£ È¿°ú: °æ»óµµ Áö¹æÀ» Áß½ÉÀ¸·Î
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    Pages 81-136
  • Abstract ( Eng | Kor ) || PDF
    • The Effect of the Land Reform on the Accumulation of Human Capital in South Korea
      Dae Hyung Woo


         It is generally known that inequality in landownership is an obstacle to the accumulation of human capital. This is due to the fact that high rates of rent hinders the ability of tenant farmers to invest in human capital, while large landowners hinder investment into public education. In accordance with this hypothesis, land reform that resolves the issue of inequality in land ownership can have a positive effect on the accumulation of human capital through the two channels of income effect and the elimination of the landlord class. This article uses data from elementary school enrollment in forty counties in Gyeongsang Province to see if the 1950 land reform in Korea had a positive effect on the accumulation of human capital. If there was a positive effect, then the article examines the channel by which the land reform had an effect. The presumptive result is that the Korean land reform sizably contributed to raising the elementary school enrollment rate through the channel of the income effect. However, there was no discernable effect of the land reform through the political economy channel on the elimination of the landlord class.
    •    ÀϹÝÀûÀ¸·Î ÅäÁö¼ÒÀ¯ÀÇ ºÒÆòµîÀº ÀÎÀûÀÚº»ÀÇ ÃàÀûÀ» ¹æÇØÇÏ´Â °ÍÀ¸·Î ¾Ë·Á Á® ÀÖ´Ù. °íÀ²ÀÇ ¼ÒÀÛ·á°¡ ¼ÒÀÛ³óÀÇ ÀÎÀûÀÚº»¿¡ ÅõÀÚÇÒ ¿©·ÂÀ» »©¾ÑÀ¸¸ç, ¶ÇÇÑ ´ëÅäÁö¼ÒÀ¯ÀÚ°¡ °ø±³À°ÀÇ È®»êÀ» ¹Ý´ëÇϱ⠶§¹®À̶ó´Â °ÍÀÌ´Ù. µû¶ó¼­ ÀÌ °¡¼³¿¡ µû¸£¸é, ÅäÁö¼ÒÀ¯ÀÇ ºÒÆòµîÀ» ÇؼÒÇÏ´Â ³óÁö°³ÇõÀº ¼ÒµæÈ¿°ú¿Í ÁöÁÖ°è±ÞÀÇ Á¦°Å¶ó´Â µÎ °¡Áö °æ·Î¸¦ ÅëÇØ ÀÎÀûÀÚº»ÀÇ ÃàÀû¿¡ ±àÁ¤ÀûÀÎ ¿µ ÇâÀ» ¹ÌÄ¥ ¼ö ÀÖ´Ù. º» ³í¹®Àº °æ»óµµ 40°³ ±ºÀÇ ÃʵîÇб³ ÃëÇÐ °ü·Ã µ¥ ÀÌÅ͸¦ ÀÌ¿ëÇÏ¿©, 1950³â ½Ç½ÃµÈ Çѱ¹ÀÇ ³óÁö°³ÇõÀÌ ½ÇÁ¦ ÀÎÀûÀÚº»ÀÇ Ãà Àû¿¡ ±àÁ¤ÀûÀÎ ¿µÇâÀ» ¹ÌÃÆ´ÂÁö, ±×¸®°í ¹ÌÃÆ´Ù¸é ¾î´À °æ·Î¸¦ ÅëÇØ ¿µÇâ À» ¹ÌÃÆ´ÂÁö¸¦ »ìÆ캻´Ù. ÃßÁ¤ °á°ú, Çѱ¹ÀÇ ³óÁö°³ÇõÀº ¼ÒµæÈ¿°ú¸¦ ÅëÇØ ÃʵîÇб³ ÃëÇзüÀ» ³ôÀ̴µ¥ ÀÇ¹Ì ÀÖ´Â ±â¿©¸¦ ÇÏ¿´À¸¸ç, ÁöÁÖ°è±ÞÀÇ Á¦°Å ¶ó´Â Á¤Ä¡°æÁ¦ÇÐÀû °æ·Î¸¦ ÅëÇØ ¹ÌÄ£ È¿°ú´Â ¹ß°ßÇÏÁö ¸øÇß´Ù.
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    Pages 137-199
  • Abstract ( Eng | Kor ) || PDF
    • The Economics of Climate Change
      Soh Young In, Soh Young In


         This study aims to provide a comprehensive review of key issues related to climate change to economists. For this purpose, we first discuss the established scientific facts of climate change and then discuss their implications to the economy and the field of economics. We start with explaining scientific consensus on climate change, types of climate risks and measures to mitigate them, need for international cooperation and the current state of South Korea. We then elaborate on economic perspectives of climate change and highlights the critical roles of economic research in this subject. In particular, we cover key discussions on economic modeling such as integrated assessment model (IAM), carbon pricing of carbon tax and cap & trade, climate finance, climate stress test, and green new deal. After reviewing key issues, we call for prompt attention from economists and policymakers to address since South Korea is facing relatively higher transition risks to low carbon economy.
    •    º» ³í¹®Àº °æÁ¦ÇÐ Àü°øÀÚ¸¦ ´ë»óÀ¸·Î ±âÈĺ¯È­¿¡ ´ëÇÑ °ü½ÉÀ» ȯ±âÇÏ°í, ÇöÀç ³íÀǵǰí ÀÖ´Â ÁÖ¿ä ÀÇÁ¦¿¡ ´ëÇÑ Á¤º¸¸¦ Á¦°øÇÏ°íÀÚ ±âÈĺ¯È­¿¡ ´ëÇØ È®¸³µÈ °úÇÐÀû »ç½Ç°ú °æÁ¦ ¹× °æÁ¦Çаú ¿¬°üµÈ ºÐ¾ß¿¡ ´ëÇؼ­ °³°ýÀûÀ¸·Î ¼Ò°³ÇÑ´Ù. ¸ÕÀú ¹®´äÀÇ Çü½ÄÀ¸·Î ±âÈĺ¯È­¿¡ ´ëÇÑ °úÇÐÀû ÇÕÀÇ, ±âÈĺ¯È­ °ü·Ã ¸®½ºÅ©¿Í ´ëÃ¥µé, ±¹Á¦°£ °øÁ¶ÀÇ Çʿ伺, ¿ì¸®³ª¶óÀÇ »óȲ¿¡ ´ëÇØ ³í ÀÇÇÑ´Ù. ÈĹݺδ ±âÈĺ¯È­¿Í °ü·ÃµÈ °æÁ¦ÇÐÀÇ ¿ªÇÒ¿¡ ´ëÇؼ­ ³íÀÇÇÑ µÚ ±âÈĺ¯È­ ºÐ¾ß¿¡¼­ ³Î¸® ¾²ÀÌ´Â ÅëÇÕÆò°¡¸ðÇü(IAM), ź¼Ò °¡°ÝÁ¦¿Í °ü·Ã Çؼ­ ź¼Ò¼¼¿Í ¹èÃâ±Ç Á¦µµ, ±âÈıÝÀ¶, ÃÖ±Ù ³íÀÇ°¡ ´Ã°í ÀÖ´Â ±âÈÄ ½ºÆ®·¹ ½º Å×½ºÆ®¿Í ±×¸°´ºµô¿¡ ´ëÇØ »ìÆì º»´Ù. ¿ì¸®³ª¶óÀÇ °æ¿ì ±âÈÄÀ§Çè °ü·Ã Çؼ­ ¹°¸®Àû ¸®½ºÅ©´Â ÀÛÀ¸³ª ÁÂÃÊÀÚ»êÀÇ ¹®Á¦, ±¹°æ°£ ź¼Ò Á¶Á¤ÀÇ °¡´É ¼º µîÀ¸·Î ÀÎÇØ ÀÌÇà ¸®½ºÅ©°¡ Å©¹Ç·Î ±âÈÄ ¸®½ºÅ©¿¡ ´ëÇÑ ½Å¼ÓÇÑ ´ëó¿Í °ü·Ã ºÐ¾ßÀÇ °æÁ¦ÇÐ ¿¬±¸°¡ ÇÊ¿äÇÑ ½ÇÁ¤ÀÌ´Ù.


The Korean Journal of Economics, Vol. 28, No. 1 (Spring 2021)