• Title/Summary/Keyword: Economic recession

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A Study on the Survival Characteristics of the Restaurant Business in Major and Side-Street Trade Areas, Seoul (서울시 발달상권과 골목상권의 일반음식점 생존특성 연구)

  • Kim, Dongjun;Yi, Changhyo;Lee, Seungil
    • Journal of Korea Planning Association
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    • v.54 no.5
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    • pp.76-90
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    • 2019
  • The purpose of this study is to analyze the survival characteristics of the restaurant business by trade area type (major and side street). By the increase of the unemployment rate, the new foundation of selt-employment type is increasing. However, due to high competition and economic recession, the sustainability of new foundation is not high. Therefore, in this study, survival analysis was performed considering the individual and commercial characteristics focused on the ordinary restaurants. The major findings are as follow. First, the characteristics of parcel unit and adjacent area have a significant effect on the survival. This means the micro-scopic spatial characteristics should be considered for survival in the location choice. Second, the regional economic characteristics in trade area have a significant effect on survival. Furthermore, these characteristics are different by the trade area type. Third. the development characteristics have a different effect on survival by the building usage and trade area type. Finally, regional economic characteristics have a significant effect on survival. These results are expected to be used as basic data for commercial location selection and trade area analysis system in the private and public sectors.

An analysis of changes in the influence of GDP gap on inflation (GDP갭의 물가영향력 변화 분석)

  • Chang, Youngjae
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.6
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    • pp.1377-1386
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    • 2015
  • GDP gap is closely related with economic activity of a country as a whole, especially with the economic fluctuations which is called business cycle. GDP gap is regarded as an important variable for the monetary policy of the central bank because it provides information on the excess demand pressures and employment matters. However, GDP gap may not provide enough information of the effect of recent economic structural change or the environmental change of domestic and external economic condition. In this paper, the GDP is decomposed by statistical filtering techniques and various models are fitted to estimate the influence of GDP gap on Inflation and see if it has been changed. Analysis results show that the influence of GDP gap on inflation decreased in the 2000s while that of global GDP gap increased. These results also support that recent low inflation rate is due to the change of overseas economic condition, such as a slowdown in exports resulting from the global recession, as well as domestic factors.

The Term Structure and Predicting the Domestic Recessions (금리의 기간구조와 경기후퇴의 예측)

  • Kim, Tae-Ho;Song, Dae-Sub
    • The Korean Journal of Applied Statistics
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    • v.22 no.2
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    • pp.249-260
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    • 2009
  • Various methods have been suggested in developing the useful leading indicators to predict the actual realizations when time laps exist between policy plannings and future events. The recent economic crisis could have been relived if the information necessary to respond to the future evolutionary process is provided in advance. As the relations between the financial variables and the real economic activity become unstable because of the changes in the financial environment, this study attempts to estimate the capabilities of various internal and external term spreads in predicting the future business trend, followed by comparison and evaluation.

The Smart City Evolution in South Korea: Findings from Big Data Analytics

  • CHOI, Choongik;CHOI, Junho;KIM, Chulmin;LEE, Dongkwan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.1
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    • pp.301-311
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    • 2020
  • With the recent global urban issues such as climate change, urbanization, and energy problems, the smart city was proposed as one of the solutions in urban planning. This study introduces the smart city initiatives of South Korea by examining the recent history of smart city policies and their limitations. This case study reflects the experience of one of the countries which thrived to building smart cities as their national key industries to drive economic growth. It also analyzes the trends of the smart city using big data analysis techniques. Although there are obstacles such as economic recession, failing to differentiate from the U-city, low service level than expected smart functionality, We could recognize the current status of the smart city policies in South Korea such as 1) Korean smart city development projects are actively implemented, 2) public consensus suggests that applying advanced technology and the active role of government need, 3) a comprehensive and strategic approach with the integration and application of advanced technologies is required as well, 4) investment by both private and public sectors need to deliver social improvements. This study suggests future direction of smart city polity in South Korea in the conclusion.

Bayesian VAR Analysis of Dynamic Relationships among Shipping Industry, Foreign Exchange Rate and Industrial Production (Bayesian VAR를 이용한 해운경기, 환율 그리고 산업생산 간의 동태적 상관분석)

  • Kim, Hyunsok;Chang, Myunghee
    • Journal of Korea Port Economic Association
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    • v.30 no.2
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    • pp.77-92
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    • 2014
  • The focus of this study is to analyse dynamic relationship among BDI(Baltic Dry-bulk Index, hereafter BDI), forex market and industrial production using monthly data from 2003-2013. Specifically, we have focused on the investigations how monetary and real variable affect shipping industry during recession period. To compare performance between general VAR and Bayesian VAR we first examine DAG(Directed Acyclic Graph) to clarify causality among the variables and then employ MSFE(mean squared forecast error). The overall estimated results from impulse-response analysis imply that BDI has been strongly affected by other shock, such as forex market and industrial production in Bayesian VAR. In particular, Bayesian VAR show better performance than general VAR in forecasting.

The Use of Feed-forward and Feedback Learning in Firm-University Knowledge Development: The Case of Japan

  • Oh, In-Gyu
    • Asian Journal of Innovation and Policy
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    • v.1 no.1
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    • pp.92-115
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    • 2012
  • The problem Japanese universities face is exactly the same as that of German universities: no international recognition in world rankings of universities despite their high levels of postwar economic and technological developments. This was indeed one reason why world-class Japanese firms, such as Toyota and Sony, have avoided working closely with Japanese universities for R&D partnership and new technology commercialization. To resolve this problem, the Japanese government has continuously implemented aggressive policies of the internationalization, privatization, liberalization, and privatization of universities since the onset of the economic recession in 1989 in order to revitalize the Japanese economy through radical innovation projects between universities and firms. National projects of developing medical robots for Japan's ageing society are some of the ambitious examples that emphasize feed-forward learning in innovation. However, this paper argues that none of these programs of fostering university-firm alliances toward feed-forward learning has been successful in promoting the world ranking of Japanese universities, although they showed potentials of reinforcing their conventional strength of introducing $kaizen$ through feedback learning of tacit knowledge. It is therefore argued in this paper that Japanese universities and firms should focus on feedback learning as a way to motivate firm-university R&D alliances.

A Study on Regional Revitalization by Creating a Landmark of Ulsanbawi in Goseong-gun, Gangwon-do (울산바위 랜드마크 조성을 통한 지역활성화 방안 연구)

  • Suhr, Myong-Suk
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.2
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    • pp.313-319
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    • 2020
  • The Misiryeong East-West road opened in July 2006, after the opening of the Expressway between Seoul and Yangyang in June 2017, has led to a recession caused by a decrease in the number of visitors to nearby region, leading to the emergence of economic crisis in the surrounding region. Against this background, in order to revitalize the Healing Road in Misiryeong, we study to find a way to revitalize the region by creating a landmark in Ulsanbawi Rock. In order to create a landmark of Ulsanbawi Rock, an observation cafe, exhibition facilities, and convenience facilities were built, and a monorail was used to view Ulsanbawi Rock, and a healing plaza, resting area, and outdoor performance hall were installed to promote the local economy.

Development of Feasibility Analysis Model for Developer-requested Housing Projects (공동주택 개발사업 참여결정을 위한 사업타당성 분석모델 개발)

  • Kim, Ki-Shin;Lee, Joong-Seok;Huh, Young-Ki
    • Journal of the Korea Institute of Building Construction
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    • v.9 no.3
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    • pp.117-125
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    • 2009
  • With construction industry recession, many construction companies are increasingly conducting the development projects by themselves. However, housing projects requested by developers still stand large portion. Although many studies on feasibility analysis were released, they mainly focused on economic feasibility and lacked research on factors and criterions of overall project. Also, because previous studies overly break downed factors related to project, they rarely used in practice. Therefore, this study developed the feasibility analysis model of housing development projects to help main contractors to easily and effectively decide if it is feasible enough to promote the projects requested by developers, and verified the reliability of the model. In this study, thirty one driving factors were identified under seven different categories and the criterion of each factor was also developed. The survey on important index of each factor found 'salability', 'economic feasibility', 'site location' and 'method of raising fund' significant. 12 projects were tested by the model and its results showed resonable reliability.

Qualitative Content Analysis: Solutions for Tourism Industry to Overcome the Crisis in a Post-Covid 19 era

  • LEE, Soo-Hee
    • The Journal of Industrial Distribution & Business
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    • v.13 no.9
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    • pp.27-36
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    • 2022
  • Purpose: The coronavirus pandemic has affected the tourism industry in a big way. The travel industry suffered intense damage from the pandemic and procedures acquainted to containing its spread because the pandemic outbreak has led to a decline in the number of tourists and a change in their behavior. At this point, this research is to investigate adequate solutions for tourism industry to overcome the crisis in a post-Covid 19 era. Research design, data and methodology: The current author gathered data from each included study to analyze and summarize the evidence when conducting a literature analysis. This stage involves gathering and reviewing intricate texts databases for the meta-analysis. Results: The current author found total five solutions from numerous literature contents, suggesting how to overcome the crisis in a post-Covid era for tourism industry. Solutions as follows, (1) Drawing beginning illustrations, (2) Introducing Government Backing Programs, (3) Increasing Promotion of Tourism Destinations, (4) Enhancing Safety and Security Measures, and (5) Improving Infrastructure and Facilities. Conclusions: This research suggests that although the global economic recession leads to reduced demand and intense competition from other sectors, the tourism industry will be well positioned to weather these challenges if practitioners of tourism organizations follow five solutions of this research.

Analysis of Spatiotemporal Changes in Groundwater Recharge and Baseflow using SWAT and BFlow Models (SWAT 모형과 BFlow를 이용한 지하수 함양, 기저유출의 시공간적 변화 분석)

  • Lee, Ji Min;Park, Youn Shik;Jung, Younghun;Cho, Jaepil;Yang, Jae Eui;Lee, Gwanjae;Kim, Ki-Sung;Lim, Kyoung Jae
    • Journal of Korean Society on Water Environment
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    • v.30 no.5
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    • pp.549-558
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    • 2014
  • Occurrence frequency of flood and drought tends to increase in last a few decades, leading to social and economic damage since the abnormality of climate changes is one of the causes for hydrologic facilities by exceedance its designed tolerance. Soil and Water Assessment Tool (SWAT) model was used in the study to estimate temporal variance of groundwater recharge and baseflow. It was limited to consider recession curve coefficients in SWAT model calibration process, thus the recession curve coefficient was estimated by the Baseflow Filter Program (BFLOW) before SWAT model calibration. Precipitation data were estimated for 2014 to 2100 using three models which are GFDL-ESM2G, IPSL-CM5A-LR, and MIROC-ESM with Representative Concentration Pathways (RCP) scenario. SWAT model was calibrated for the Soyang watershed with NSE of 0.83, and $R^2$ of 0.89. The percentage to precipitation of groundwater recharge and baseflow were 27.6% and 17.1% respectively in 2009. Streamflow, groundwater recharge, and baseflow were estimated to be increased with the estimated precipitation data. GFDL-ESM2g model provided the most large precipitation data in the 2025s, and IPSL-CM5A-LR provided the most large precipitation data in the 2055s and 2085s. Overall, groundwater recharge and baseflow displayed similar trend to the estimated precipitation data.