Çѱ¹°æÁ¦Çк¸ Á¦ 28±Ç, Á¦ 1È£ (2021³â º½)
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Pages 3-38
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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 ÇüÅÂ
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.
¹Ú ¹« ȯ
Pages 39-80
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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.
¿ì´ëÇü
Pages 81-136
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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.
Àμҿµ, ¹Ú±â¿µ
Pages 137-199
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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)