• Title/Summary/Keyword: Economic Indicators

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Business Performance Indicators and Determinants Analysis of Small and Medium Sized Shipping Logistics Companies in Korea - Using 2015 Economic Census Data (국내 중소 해운물류기업의 경영성과지표 산정 및 결정요인 분석 - 2015년 경제총조사 자료를 이용하여)

  • Han, Sang-Yong;Lee, Joo-Suk
    • Journal of Korea Port Economic Association
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    • v.34 no.4
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    • pp.53-68
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    • 2018
  • This paper analyzes comparatively business performance indicators and determinants of small and medium sized shipping logistics companies in Korea, using 2015 economic census data. For this purpose, this study estimates various business performance indicators according to 2015 small and medium sized companies classification standards, including operating income to sales and gross value-added to sales. In addition, this study analyzes determinants of business performance using generalized least squares models. The results indicate that average sales, operating income and value-added, sales and operating income per worker, operating income to sales, and material cost to sales of large sized companies are higher than those of small and medium sized companies. The business performance indicators differ by industry and size. Moreover, the determinants of business performance are analyzed in terms of the unemployment rate (-), number of employees (-), sales (+), labor cost ratio (+), and labor cost per employee (-) and the impacts of the individual explanatory variables based on elasticity are different. Finally, this quantitative information could be used to improve the business performance of domestic shipping logistics companies.

An Exploratory Study on Management Performance of Logistics Companies in Japan (일본 물류기업의 경영성과에 관한 탐색적 연구)

  • Koo, Kyoung-Mo
    • Journal of Korea Port Economic Association
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    • v.33 no.4
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    • pp.99-116
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    • 2017
  • This paper analyzes the characteristics of change in economic indicators logistics business performance indicators in Japan over the past decade. We compare the differences in management performance of groups related to logistics business strategy. This is because we want to show that the logistics business strategy is reflected in the management performance. Research methods include correlation analysis, crossover analysis, and variance analysis. The main results are as follows. First, logistic companies' sales are highly correlated with economic indicators such as GDP, trade value, and stock price. Second, there is a correlation between the business sectors and the proportion of tangible assets. It is understood that different business strategies are appropriate for each industry and each period. Third, the effects of business strategy variables on business performance variables were significant. In particular, the interaction effect of three variables showed a difference in the effect on the yield. The results of this study provide a better understanding of how logistics companies achieve a high performance in the changing economic environment over the past decade.

Measurement of Unemployment and Extended Unemployment Indicators in Korea (실업률 측정의 문제점과 보완적 실업지표 연구)

  • Hwang, Soo Kyeong
    • Journal of Labour Economics
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    • v.33 no.3
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    • pp.89-127
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    • 2010
  • This paper explores the causes and solutions of the problem that the official unemployment rate does not adequately represent the reality of the employment situation in Korea. First, compared to ILO's international standards, there are several differences in the measurement of unemployment in Korea, for example, the treatment of unpaid family workers working less than 18 hours per week, the classification of persons who are waiting for a new job or temporarily laid-off, and the criteria of job search activities. The questionnaire structure of the Labor Force Survey in Korea also misleads the judgment of economic activity state. Comparing the responses of the basic survey to those of the supplementing survey, approximately 90% of the responses show discrepancies and this indicates the possibility of misclassification. Next, this paper suggests the extended unemployment indicators as alternative, based on the current survey. The extended unemployment indicators support the presence of significant amounts of hidden unemployed and underemployed. And, it is found that the analyses using those indicators are very useful for the investigation of many aspects of employment dynamics.

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Evaluation of the Less Development Indicator Based on Transportation Connectivity (교통연계성을 고려한 지역낙후도 지수 산정방안 연구)

  • Park, Shin Hyoung;Kim, Dongsun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.3
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    • pp.671-678
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    • 2015
  • When evaluating the feasibility of construction projects of large-scaled transportation facilities such as roads or railways based solely on the result of the economic analysis, less development indicators are politically reflected on the investment decision-making because regions whose socio-economic indicators are poor may be disadvantaged or underserved for the projects. Existing less development indicators, however, does not consider the transportation connectivity which indicates how effective the transportation networks are established for the transport of people and goods. In this study, travel time contour maps, travel distance and travel time between regions, and a route curvature were utilized to define new indices which reflect transportation connectivity on the less development indicators. When the new indices are applied, the existing rankings of under-developedness were changed, which means that transportation connectivity could effect on the political decision. In this study, we also suggested the necessity of considering the transportation connectivity when evaluating less development indicators, developed measures of inter-regional linkages, and performed the whole procedures of combining existing and new indices to evaluate the less development indicators.

A Study on Estimation of Input Criteria for ESG Performance Index : The Country Level of ESG Index Perspective (국가별 ESG 이행성과지표 투입기준 산정에 관한 연구)

  • Lee, Kyong-Han
    • Journal of Korea Port Economic Association
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    • v.38 no.2
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    • pp.31-47
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    • 2022
  • The purpose of this study is to develop a reliable tool that can classify and measure detailed indicators related to the performance of ESG implementation in the country and verify their applicability. Based on World Bank's data as input data, 67 types of ESG-related detailed indicators measured in a total of 239 countries were tested to derive an optimal model that could group detailed indicators into three categories: environment, society, and governance. As a result of the analysis, it was confirmed that a total of 10 detailed indicators had a statistically significant relationship with the country's ESG performance. In addition, the detailed indicators showed a positive correlation with the primary latent variables E, S, and G, and showed a high overall index in the suitability of the model to secure the validity and reliability of variable input. As a result, this study confirmed that several detailed performance indicators constituting ESG can be classified as latent variables, and it can be said that clear criteria for the selection method and input validity of variables were presented.

Analysis of Financial Structure and Managerial Performance of Profit/Loss-Making Hospitals under the IMF (IMF 초기 2년간 흑자/적자병원의 재무구조와 경영성과분석)

  • Lee, Chang-Eun;Jung, Key-Sun;Hwang, In-Kyung
    • Korea Journal of Hospital Management
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    • v.6 no.2
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    • pp.156-172
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    • 2001
  • Financial ratio indicators of the 73 sample hospitals provided by the Korea Hospital Association in 1998-1999, together with the data by the Korea Health Industry Development Institute in 1007, were analysed to identify the financial structure and managerial performance of the profit/loss-making hospitals under the IMF. The major findings of this study were as belows. 1. Among the general characteristics, there was a statistical significance in the hospital location and the number of operating beds between profit-making hospitals and loss-making hospitals. 2. Financial ratio indicators of the profit-making hospitals were better than those of the loss-making hospitals. 3. Financial ratio indicators, including Liquidity, Performance Indicators and Growth Rate Indicators of profit-making hospitals, were better than those of loss-making hospitals except for Turnover Ratios under the IMF economic impasse.

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New Indicators of Global Integration Using Input-Output Analysis

  • DONGSEOK KIM
    • KDI Journal of Economic Policy
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    • v.46 no.2
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    • pp.45-74
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    • 2024
  • The import content of export (ICE) has served as an indicator of global integration for several decades. It is defined as the share of imported products embodied in exports and can be interpreted as the relative degree of the utilization of global production network (GPN) over the domestic supply chain (DSC) in terms of 'value-added.' This paper proposes two new indicators of global integration. They are defined as the ratios of imports (foreign products) to gross output (domestic products) generated by exports and can be interpreted as the relative degrees of the utilization of GPN over DSC in terms of 'production.' Both indicators are easy to compute and can be compared between years, between countries, between industries, and between groups of industries. The paper applies the new indicators to the recent edition of the OECD's Input-Output Database. Finally, the paper shows that the recent slowdown in international trade is mostly due to the decrease in the international trade of intermediate goods, with significant implications regarding the future of global integration.

An Exploratory Study on the Prediction of Business Survey Index Using Data Mining (기업경기실사지수 예측에 대한 탐색적 연구: 데이터 마이닝을 이용하여)

  • Kyungbo Park;Mi Ryang Kim
    • Journal of Information Technology Services
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    • v.22 no.4
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    • pp.123-140
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    • 2023
  • In recent times, the global economy has been subject to increasing volatility, which has made it considerably more difficult to accurately predict economic indicators compared to previous periods. In response to this challenge, the present study conducts an exploratory investigation that aims to predict the Business Survey Index (BSI) by leveraging data mining techniques on both structured and unstructured data sources. For the structured data, we have collected information regarding foreign, domestic, and industrial conditions, while the unstructured data consists of content extracted from newspaper articles. By employing an extensive set of 44 distinct data mining techniques, our research strives to enhance the BSI prediction accuracy and provide valuable insights. The results of our analysis demonstrate that the highest predictive power was attained when using data exclusively from the t-1 period. Interestingly, this suggests that previous timeframes play a vital role in forecasting the BSI effectively. The findings of this study hold significant implications for economic decision-makers, as they will not only facilitate better-informed decisions but also serve as a robust foundation for predicting a wide range of other economic indicators. By improving the prediction of crucial economic metrics, this study ultimately aims to contribute to the overall efficacy of economic policy-making and decision processes.

The Economic Evaluation of the Forest Biodiversity in South Korea (산림생물다양성의 경제적 가치 평가)

  • Kim, Jung-Taek;Lee, Gwan-Gyu;Kim, Joon-Soon
    • Journal of agriculture & life science
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    • v.46 no.4
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    • pp.31-39
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    • 2012
  • In this study, biodiversity was classified as 4 sectors (genes, species, ecosystems, and cultures) and overall 14 indicators were subdivided by the classification criterion of 4 sectors. Among those 14 indicators, monetary evaluation was conducted for 11 indicators that can be quantified in economic perspectives. Results show that negative economy effects (forest degradation, forest fire, forest damage caused by diseases and insects, deforestation, and cost under the assumption with the adoption of the Nagoya Protocol to be compensated for traditional knowledge) by reducing forest biodiversity were evaluated as 254.5 billion won annually. Also, Bioindustry, indigenous species, forest production, protection area, and income associated with mountain village were considered as positive economy effects and their annual economic value was 6.72 trillion won. Net annual benefit by maintaining forest biodiversity was about 6.5 trillion won.

The Construction of the Domains and Indicators Measuring and Monitoring Children's Well-Being in Korea (한국의 아동 웰빙 지표 구축을 위한 기초 연구 : 아동 웰빙 지표의 영역과 세부 지표를 중심으로)

  • Kong, In-Sook;Kim, Sun-Young
    • Korean Journal of Child Studies
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    • v.33 no.1
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    • pp.183-203
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    • 2012
  • While efforts to measure and monitor children's well-being have gained increasing recognition across the OECD, there has been relatively little research on the subject of indicators of children's well-being in Korea. This study was undertaken in order to develop the domains and indicators which can be used to measure the quality of life of Korean children from birth to age 17 and to put forward a possible well-being index for Korean children. The 35 indicators of well-being were grouped into eight domains and were designed for this study, using previous research on key child indicators for Korea and the child well-being index in foreign countries, such as the FCD-Land Index, Kids Count, the index of child well-bing in the European Union and OECD area. These domains are composed of the following : economic well-being, health, education, spiritual/emotional well-being, children's relationships, civic participation, safety/risk behavior, and housing and environment. The establishment of a Korean children's well-being index requires access to and use of national statistical data analyzed annually by the government as well as a general consensus regarding such issues as scope and its indicators.