• Journal of the Economic Geographical Society of Korea
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• v.22 no.2
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• pp.196-213
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• 2019

This paper attempts to analyze the contribution of different socioeconomic factors such as income, age, gender, household composition, education and employment status etc. to the difference between the Capital and Non-Capital Regions in the net wealth inequality of household in Korea. To this end, a two-stage Oaxaca-Blinder type decomposition is employed regarding the regional gap in the inequality of net wealth based upon the Recentered Influence Function of the Gini index for 'the 2018 Household Finance and Living Conditions Survey.' Despite the shortcomings of the survey data on wealth, the findings reveal that regional differences in income, marriage status (divorce), job type (agriculture, forestry and fishery related, and technical and assembly), family type (multi-cultural) variables deepen the regional gap in the net-wealth inequality, but employment status (full-time), job type (administrative and specialized, and service sales), household size variables mitigate the gap, and that regional differences in life cycles play an offsetting role.

• The Optical Journal
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• s.173
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• pp.38-44
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• 2019

올해 국내 실물경기는 수출 증가세가 점차 둔화되고, 내수도 소비의 둔화와 투자의 감소 전환 등의 영 향으로 완연한 하락세를 보였다. 내수는 설비투자와 건설투자가 크게 감소하면서 급속한 조정 양상을 보이고 있으며, 소비도 연 2%대 증가율로 떨어지면서 둔화세를 기록하고 있다. 수출은 물량의 증가세가 유지되고 있으나, 단가는 기저효과로 인한 유가상승 폭의 축소 등의 영향으로 상승률이 떨어지면서 증가세가 둔화되었다. 2019년 세계경제는 선진권의 경기둔화와 개도권의 성장률 정체가 예상되는 가운데 하방 리스크 요인으로 인해 제한적 성장이 예상된다. 선진권은 미국경제의 성장률 하락이 예상되는 한편, 일본과 유로권도 전년보다는 약간 낮은 성장률이, 중국은 연 6%대 초반까지 성장률 하락이 예상된다. 국제유가는 글로벌 경기 둔화에 따른 원유의 수요 감소와 미 달러화의 가치 상승 등 금융 요인이 하방 압력으로 작용하나, OPEC의 감산 지속과 지정학적 불안정성이 상승 요인으로 작용하면서 연평균 보합이 예상된다. 환율은 미 달러화의 강세기조가 2019년 상반기까지 이어질 것으로 예상되지만, 하반기에는 유럽 등지의 통화긴축 전환과 미국경기 둔화 등의 영향으로 달러화가 약세로 전환하면서 연평균 기준 소폭 상승할 것으로 기대된다. 2019년 국내경제는 수출과 투자가 글로벌 경기 둔화 등의 영향으로 소폭 증가에 그치고, 소비가 전년대비 둔화세를 보이면서 2018년보다 약간 낮은 2.6%의 성장률이 예상된다. 소비는 실질소득 감소와 고용 부진 등이 예상되고, 대외 불확실성으로 인한 체감경기 약화로 증가세가 둔화되나, 보건 복지 고용의 지출 확대, 유류세 인하 등 정부 정책은 실질구매력 제고에 긍정적 요인으로 작용할 전망이다. 설비투자는 대외 불확실성과 대내 구조적 취약성 등의 영향으로 인해 제한적인 증가세가 예상되며, 건설투자도 정부의 부동산시장 안정화 대책과 SOC예산 감축 등의 영향으로 감소세가 이어질 전망이다. 수출은 세계경기의 성장세 둔화로 인해 수출물량이 소폭 증가에 그치고, 반도체의 가격 하락과 국제유가의 횡보 전망 등으로 수출단가도 하락 압력이 커지면서 2018년 보다 낮은 3.7%의 증가율이 예상된다.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.3
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• pp.237-245
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• 2019

The aim of this article is to introduce articles of the special issue on 'Revitalization Conditions on Crisis on Industrial Regions: Experience from Europe and the Republic of Korea, and to explore policy alternatives to crisis on industrial regions on the basis of policy diagnoses and prescriptions. In the existing research, diagnoses of such Korean regions are quantitatively focused upon industry, employment, plant, consumption, investment, real estate, and labour market, and are qualitatively based upon external environment and functional, structural and spatial characteristics. Prescriptions of such regions emphasize the establishment of a law and an institutional fix, financial supports, jobs' creation, industrial diversification, the intensification of urban foundation throughout the urban revitalizaion. In the policy development for these regions, it is required to link the industrial sector to social, educational, political and welfare sectors, and furthermore the collaboration of inter- and intra-ministry and the active participation of provincial and local governments are needed.

• International Area Studies Review
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• v.21 no.4
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• pp.159-172
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• 2017

In a typical trend-cycle decomposition of GDP, the trend component is usually assumed to follow a random walk process. This paper considers an ARIMA trend and assesses the validity of the ARIMA trend model. I construct univariate and bivariate unobserved-components(UC) models, allowing the ARIMA trend. Estimation results using U.S. data are favorable to the ARIMA trend models. I, also, compare the forecasting performance of the UC models. Dynamic pseudo-out-of-sample forecasting exercises are implemented with recursive estimations. I find that the bivariate model outperforms the univariate model, the smoothed estimates of trend and cycle components deliver smaller forecasting errors compared to the filtered estimates, and, most importantly, allowing for the ARIMA trend can lead to statistically significant gains in forecast accuracy, providing support for the ARIMA trend model. It is worthy of notice that trend shocks play the main source of the output fluctuation if the ARIMA trend is allowed in the UC model.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.375-389
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• 2021

Recent years have seen a rapid boom of the 4th industry and relevant policies in regions. However there are only a few studies about the impact of the 4th industry on the local economy. This study examines the agglomeration effects of the 4th industry on regional economy by using a spatial statistical models. As a result, it was found that the agglomeration of the 4th industry had a positive effect on the productivity of the local economy, while there is not good enough evidence to prove the relationship between the 4th industry and the income of the region. These findings indicate that the impact of the agglomeration of the fourth industry on the local economy is limited. In addition, the impact on the local economy was different by the type of the fourth industry, and the manufacturing industry and financial and insurance industries had a positive impact on the growth of the local economy.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.2
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• pp.51-58
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• 2022

Blockchain technology is a system in which data from users participating in blockchain networks is distributed and stored. Bitcoin and Ethereum are attracting global attention, and the utilization of blockchain is expected to be endless. However, the need for blockchain data privacy protection is emerging in various financial, medical, and real estate sectors that process personal information due to the transparency of disclosing all data in the blockchain to network participants. Although studies using smart contracts, homomorphic encryption, and cryptographic key methods have been mainly conducted to protect existing blockchain data privacy, this paper proposes data privacy using matrix character relocation techniques differentiated from existing papers. The approach proposed in this paper consists largely of two methods: how to relocate the original data to matrix characters, how to return the deployed data to the original. Through qualitative experiments, we evaluate the safety of the approach proposed in this paper, and demonstrate that matrix character relocation will be sufficiently applicable in private blockchain environments by measuring the time it takes to revert applied data to original data.

• Land and Housing Review
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• v.14 no.2
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• pp.73-82
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• 2023

This study empirically analyzes the policy demand for population inflow in Hongcheon-gun, a region that has experienced population decline over the past decade. The results of this study based on the multinominal logit model provide the policy implications as follows. First, due to the differing factors influencing the demand for population inflow policies among the young and the elderly, local governments should clearly define the policy targets for population inflow. Second, in the context of policy demand for population inflow through corporate attraction, we identify statistically significant and positive effects of the length of residence for both young and old people, and the level of formal education for the elderly. These results emphasize the importance of formulating population inflow policies distinctively targeted for the young and the elderly generations, respectively, thereby increasing population inflow in the population reduction area.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.119-131
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• 2024

In recent years, there has been a significant growth in loan comparson services offered by fintech platforms in South Korea. However, it has been reported that loan comparison platform users tend to have a higher risk of default compared to non-users. This paper investigates the difference in platform-specific credit risk factors using survival analysis models - Kaplan-Meier curves and Accelerated Failure Time (AFT) model. Our findings show that, relative to non-users, users of loan comparison platforms are characterized by elevated default rates, a greater propensity for home ownership, lower credit scores, and shorter loan durations. Furthermore, our AFT models elucidate the variance in default risk among the various loan comparison service platforms, highlighting the imperative for customized strategies that address the unique risk profiles of customers on each platform.

• Journal of Consumption Culture
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• v.15 no.2
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• pp.213-247
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• 2012

The purpose of this study was to analyze the economic structures of low-income households, and to provide the policy suggestions for their economic well-being. The data for this study was from the 2009 year of the Korea Welfare Panel Survey (KOWEPS). The results are as follows: As for income structure, the low-income households had lower amounts in earned income, business and side-work income, and property income, but a higher amount in transfer income. They had a lower amount in private transfer income, but a higher amount in public transfer income. They had the highest rate of transfer income, showing that the rate of public transfer income was higher than that of private transfer income, and the government assistance was the highest rate in public transfer income. The households in extreme poverty had the lowest amounts in earned income, financial income, private transfer income, but the highest amount in public transfer income. The households in poverty had the lowest amount in transfer income. The households in extreme poverty, poverty and near poverty showed the highest rate in transfer income. As for asset structure, the low-income households had a lower amount in every type of assets. They showed the highest rate in total debt, and had a higher rate in housing asset, but lower rates in real-estate asset, financial asset and other asset. The households in extreme poverty had a lower amount in every type of assets than the households in near poverty. Three types of the low-income households showed the highest rate in housing asset, but the households in extreme poverty was the highest among them. As for expenditure structure, the low-income households had lower amounts in all of the expenditure items. They showed the highest rate in food expenditure, the second highest in other consumption expenditure. The households in extreme poverty showed lower amounts in almost all of the expenditure items than the households in near poverty, but the households in extreme poverty showed a higher amount in monthly rent than the households in neat poverty. Three types of the low-income households showed the highest rate in food expenditure. The expenditure rates of food, monthly rent and light·heat·water for households in extreme poverty were higher than those for the households in near poverty.

• Korean Journal of Construction Engineering and Management
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• v.13 no.6
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• pp.153-164
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• 2012

Since the sub-prime mortgage crisis from the US in 2008, Korean housing market has plummeted. However, Korean local lease contract, Chonsei, price has been increasing. This increase of Chonsei price can be a threat to the low-income people because most of them prefer to live at the house with a Chonsei contract. In order to solve this problem, the Korean Government implemented several Chonsei policies to secure low-incomers' residence by decreasing the price of Chonsei; however, due to the lack of understanding on housing and Chonsei market, Korean government policy seemed to fail on getting effective results. In the housing and Chonsei market, there are many stakeholders with their own interest, hence, simple thoughts about housing and Chonsei market, such as more house supply will decrease house price, would not work in a real complex housing market. In this research, we suggests system dynamics conceptual model which consists of causal-loop-diagrams for the Chonsei market as well as the housing market. In addition, we tries to explain why the policy did not work effectively using the examples from the government's past measures. In results, Chonsei price has its own homeostasis characteristic and different price movement with housing price in the short and long term period. Unless government does not have a structural causation mind in implementing policies in the real estate market, the government may not attain intended effectiveness on both markets.