• Title/Summary/Keyword: Financial Indicators

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Regional Development Plan Based on the Characteristics of Demographic Structure in Farming Areas - Focusing on the Farming Areas in Gyeongnam Province - (농촌지역 인구구조 특성에 따른 지역발전 방안 - 경상남도 농촌지역을 중심으로 -)

  • Kim, Dong-Hwan;Ahn, Jung-Geun
    • Journal of Korean Society of Rural Planning
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    • v.22 no.4
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    • pp.159-169
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    • 2016
  • In recent years, the population structure has been changed by the progresses of 6th-industrialization and transportation in farming areas. This study aims to suggest a regional development plan of farming areas in accordance with the demographic changes. Population structure indicators were derived from previous studies and literature review in order to identify the types of farming areas. Demographic indicators separated to depopulation and population growth in farming areas through a standardized scoring method. This research found that the division of economy is not only the most important division in any other regional development divisions but also necessary to develop new sources of non-farm income through traditional culture, natural environment. In the social division, it is necessary to secure the facilities for the formation of a sense of community to multicultural families and existing residents in farming areas. In the environmental division, it is desirable to improve the quality and satisfaction of life for residents such as the sidewalk and park that utilize ecological environment, culture, history for both depopulation and population region. In the physical division, there is a need for improvement of the facilities of basic living infrastructure service such as roads, water supply and sewerage systems. In the institution division, sustainable financial support of the central government policy for farming areas is crucial for the improvement of residential environment in the farming areas of depopulation and population region.

A Comparative Study on the Management Performance of General Retail Companies in Korea: For Department store, TV home­shopping, Internet & Mobile shopping (우리나라 종합소매업의 경영성과에 관한 비교 연구 - 백화점, TV홈쇼핑, 온라인쇼핑몰 업태를 대상으로 -)

  • Koo, Kyoungmo
    • Journal of Korea Port Economic Association
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    • v.35 no.4
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    • pp.31-50
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    • 2019
  • The retail industry has been coping with changes in the retail market environment for the past decade or so. Using a total of 14 companies, this study aims to reveal the effect of differences in sales channels and retail business styles on the management performance of retail companies. The financial statements of these companies were used to analyze the five key indicators of their management performance. As research variables, sales channels, retail business style and business period were used as factors affecting their management performance. ANOVA or MANOVA was performed to test differences in management performance between groups according to the number of factors. The effect of three factors on the management performance of retail companies was found to be significant. The multi-comparison test revealed significant differences among retail business styles in terms of the five key indicators. TV home-shopping performed better than others in terms of stability and profitability. Internet and mobile shopping companies performed poorly in terms of profitability compared to others and performed higher than department stores in terms of growth, activity, and productivity.

Correlation between Value Strategies and Financial Performance in Leading Industries (주력산업에서 가치전략과 재무성과의 상관관계)

  • Hong, Kichul;Park, Kwangho
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.1
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    • pp.70-83
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    • 2018
  • Korea's five leading industries-chemical, automobile, shipbuilding, metal and electronics-have been the growth engines of the Korean economy for the last 30 years. However, with their performance weakening in the past few years, Korea's annual growth rate has dropped to less than 2%. Just as the Japanese economy struggled through the lost decades, Korea's leading industries have been facing signals of arriving at a Strategic Inflection Point ("SIP") since the mid-2000s. The objective of this study is to present an appropriate value strategy for Korean firms in leading industries to gain sustainable competitive advantages. This paper examines the following issues : First, it diagnoses the signs and timing of SIP for the five leading industries. Second, this study examines 78 Korean and Japanese firms in order to understand the adaptation strategies of the highest and lowest performing firms from a value strategy point of view. Third, it empirically analyzes the correlation between the indicators of value strategy and the accounting performances of the Korean and Japanese firms. The data set used in the cluster analysis were collected from KISLINE database of NICE Information Service and annual reports. The findings in the case analyses of high and low performing companies show that high value-added specialty chemical materials and electronic component manufacturers that had a strong focus on value creation were defined as high performing companies. And in the cosmetic and automobile industries, companies with a strong emphasis on value appropriation gained high performance. Furthermore, the study conducted a cluster analysis based on two indicators R&D and advertisement expense. The analysis shows that a significant gap exists in the operating incomes among three groups classified under the value strategy. The study recommends that Korean firms are requested to increase R&D expenditure, conduct M&A and collaborate with companies that own source technologies to narrow the technology gap and improve their segment portfolio from commodity to value-added products.

A proposal and analysis of finance evaluation indicators for actuarial review of the national pension (국민연금 재정평가지표의 제안 및 분석)

  • Lee, Hangsuck;Shin, Seunghee
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.1
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    • pp.75-89
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    • 2016
  • This study suggests both modification reserve ratio and cover rate for expenditure as new finance evaluation indicators. Firstly, modification reserve ratio is an evaluation indicator which shows how long can the accumulated reserves at the beginning of the year afford future benefit expenditure. Modification reserve ratio has an advantage both to present what the scale of annual accumulated reserves means and to know the exhaustion speed of accumulated fund through analyzing the trend of modification fund ratio. Secondly, this research classifies resources for expenditures as premium income and reserves, thereafter, presents cover rate for expenditure as finance evaluation indicator. We can know how premium income and reserves can cover future expenditure during the evaluation period, and how deficient are resources through these indices. The researcher anticipates this research to contribute to policy researches for financial stabilization of the national pension scheme.

The Express-Assessment of Main Monetary Indicators of Russia and the Countries of CIS

  • Vyborova, Elena Nikolaevna
    • East Asian Journal of Business Economics (EAJBE)
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    • v.6 no.1
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    • pp.1-31
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    • 2018
  • Purpose - This study is to analyze indicators characterizing the monetary turnover and its determining factors. Also this paper looked at the evolution of monetary aggregates of the Russian Federation, Australian, Sweden, Denmark, countries of CIS at the present stage of development and in the historical context. Research design, data, and methodology - The scale of research on Russia: to be analyzed the amount of data from the 2011 by 2016. In the historical context of the estimated data in the 1900-2011. On Belarus - the 2007-2017, on Tajikistan - the 2000 - 2017, on Kazakhstan - the 2000-2017, on Kyrgyzstan - the 2000-2017, on Australian - the 1959-2017, on Sweden - the 2009-2017, on Denmark - the 1999-2017. Results - Hypothesis 1. In Russian Federation the monetary stock has the steady tendency to growth. The dynamics of money supply in Russia is largely determined by historical events. Hypothesis 2. The dynamics of money supply the leading countries-partners has the tendency to grow. The monetary amount of countries-partners are analyzed is largely determined by external debt, GDP, the exports, the imports, the international reserves. Conclusions - The dynamics of monetary stock of Russia is determined by the historical events in many respects. The Russian Federation maintains a steady and the liquid economic position in the case of considerable amount of monetary stock and the high degree of its surplus. In most of the countries studied, the monetary supply has a significant volume exceeding the needs of the economy. If the distribution of monetary mass is adequate and there is a vertical of financial control, this will not have a negative impact on the country's economic stability and the development.

Determination of Pattern Models using a Convergence of Time-Series Data Conversion Technique for the Prediction of Financial Markets (금융시장 예측을 위한 시계열자료의 변환기법 융합을 이용한 패턴 모델 결정)

  • Jeon, Jin-Ho;Kim, Min-Soo
    • Journal of Digital Convergence
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    • v.13 no.5
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    • pp.237-244
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    • 2015
  • Export-led policies, FTA signed and economics of scale through a variety of market-oriented policies, such as regulations to improve market grew constantly. Accordingly, the correct decision making accurately analyze the economics market for decision, a problem has been an important issue in predicting. For accurate analysis and decision-making of the most common indicators of the stock market by proposing a number of indicators of economic transformation techniques were applied to the convergence model combining estimation and forecasts problem confirmed its effectiveness. Experimental result, gave the model estimation method to apply a transform to show the valid combinations proposed model state estimation result was confirmed in a very similar exercise aspect of the physical problem and the KOSPI index prediction.

Effects of Incentive System of the District Unit Plan on the Apartment Housing Market in MetropolitanCitiesandRuralCities (대도시와 중소지방도시에서 공동주택시장에 적용가능한 지구단위 계획의 인센티브 적용에 환한 인구)

  • Kim, Jee-Hoon;Han, Kyu-Hwan;Kim, Kwang-Kuk;Hwang, Jee-Wook
    • Journal of The Korean Digital Architecture Interior Association
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    • v.8 no.1
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    • pp.15-21
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    • 2008
  • The district unit planning (DUP) in Korea is a planning instrument. One of the key methods is the incentive system focused on the mitigation of the financial charge of business proprietors with use of various planning deregulation. Here in this paper, it is examined whether the incentive system is indiscriminately applied not only in the metropolitan cities but also in the rural cities. The analysis is carried out with six indicators in relation to the effect on the incentive system on the market of Apartment Housing Development. The indicators are a. the building-to-land ratio(BLR), b. the floor area ratio(FAR) c. the publicly assessed value of land(PAVL), d. the sale price of land(SPL), e. the sale/lease price of apartment house(SLPH) and f. the ratio of housing subscription(RHS). The final result is that the incentive system has different effects between metropolitan cities and rural cities. One of reasons lies on the too high FAR in rural cities to be given basically. Another reason lies on the difference between the cost for purchasing public installation and the profit of the sale & lease price of apartment house. In rural cities their difference becomes much narrow. Finally, the low ratio of housing subscription(RHS) in rural cities makes the effect of the incentive system nearby meaningless.

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Development of Regional Balanced Index for Administrative Districts and Dongs in Seoul using Factor Analysis (요인분석을 활용한 서울시 자치구/행정동의 지역균형지수 개발)

  • Kim, Dong-geun;Park, Kwiwon;Ha, Somi;Kim, Dohyun
    • Journal of Korean Society for Quality Management
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    • v.49 no.3
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    • pp.375-392
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    • 2021
  • Purpose: Regional gaps and conflicts between regions due to Korea's economic development and industrialization have become important issues, and the issue of balanced regional development at regional level has been discussed as the size of the region has increased recently. Although evaluation of regional balance was attempted through various regional balanced development indexes, it is inappropriate as a standard for determining regional balance in Seoul. Therefore, this study aims to develop objective evaluation methodologies and evaluation indicators for balanced development of administrative districts in Seoul, not existing city and national units. Methods: We looked at existing regional balanced development indexes, and suggested a new regional balanced index reflecting regional development, backwardness, and spatial characteristics in Seoul using factor analysis. Results: As a result of factor analysis, the regional balanced development index for administrative districts and administrative dongs consists of two factors (regional revitalization, financial power) and three factors (commercial density, social security demand, regional retardness), respectively. Then the regional balanced development index scores for 116 administrative districts and 423 administrative dongs are calculated by multiplying each factor by a weight obtained through experts' survey. Conclusion: The proposed regional balanced development index can be used as an objective and quantitative basis for regional balanced development within a city. Further research may include continuously adding new indicators that reflect the direction and scale of development.

Empirical Analysis on Labor Market Slackness and Monetary Policy Implications in Korea (우리나라 노동시장의 유휴생산능력 추정 및 통화정책에 대한 시사점 분석)

  • Kim, Tae Bong;Lee, Hangyu
    • Journal of Labour Economics
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    • v.43 no.4
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    • pp.1-34
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    • 2020
  • After the global financial crisis, doubts have been raised about the usefulness of traditional unemployment rate for the labor market slackness, hence, this study provides alternative indicators that can help estimate the labor market slackness in Korea, and investigates the degree of biasness of traditional indices of Korean labor market. In particular, this study intends to focus on the possibility of employing the labor underutilization index officially announced by Statistics Korea (KOSIS) from 2015. To do this, we first define the labor underutilization indices from 2003 to 2014 by applying current definitions of labor underutilization indices retrospectively to these periods. Based on these indices, the empirical analysis shows that the employment gap using labor underutilization indices is highly correlated with total output gap, and has significantly improved the performance of forecasting inflation rate compared to other labor market slackness indicators.

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A study on stock price prediction through analysis of sales growth performance and macro-indicators using artificial intelligence (인공지능을 이용하여 매출성장성과 거시지표 분석을 통한 주가 예측 연구)

  • Hong, Sunghyuck
    • Journal of Convergence for Information Technology
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    • v.11 no.1
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    • pp.28-33
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    • 2021
  • Since the stock price is a measure of the future value of the company, when analyzing the stock price, the company's growth potential, such as sales and profits, is considered and invested in stocks. In order to set the criteria for selecting stocks, institutional investors look at current industry trends and macroeconomic indicators, first select relevant fields that can grow, then select related companies, analyze them, set a target price, then buy, and sell when the target price is reached. Stock trading is carried out in the same way. However, general individual investors do not have any knowledge of investment, and invest in items recommended by experts or acquaintances without analysis of financial statements or growth potential of the company, which is lower in terms of return than institutional investors and foreign investors. Therefore, in this study, we propose a research method to select undervalued stocks by analyzing ROE, an indicator that considers the growth potential of a company, such as sales and profits, and predict the stock price flow of the selected stock through deep learning algorithms. This study is conducted to help with investment.