• 제목/요약/키워드: Economic Indicators

검색결과 693건 처리시간 0.027초

정량적 분석에 의한 전남바다목장의 생태계 기반 어업평가 (A study on the ecosystem-based fisheries assessment by quality analysis in Jeonnam marine ranching ecosystem)

  • 박희원;최광호;장창익;서영일;김희용
    • 수산해양기술연구
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    • 제49권4호
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    • pp.459-468
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    • 2013
  • In the application of the ecosystem-based fisheries assessment Jeonnam marine ranching ecosystem, two fisheries, funnel fishery and trap fishery, were selected as target fisheries. Black seabream, Acanthopagru schlegelii, rock bream, Sebastes inermis, gray mullet, Mugil cephalus, were selected as target species for the funnel fishery, and conger eel, Conger myriaster, was target species for the trap fishery. For assessing indicators of four management objectives, that is the maintenance of sustainability, biodiversity, habitat quality and socio-economic benefits, indicators were selected considering the availability of data, which were 5 indicators for sustainability, 3 indicators for biodiversity, 4 indicators for habitat, 2 indicators for socio-economic benefit. The Objective risk indices for sustainability and biodiversity of two fisheries were estimated at yellow zone, medium risk level. The objective risk indices for habitat and socio-economic benefit were estimated at green zone, safe level. The species risk indices (SRI) were estimated at yellow zone. The fishery risk indices (FRIs) were estimated at 1.143 and 1.400 for funnel net fishery and trap fishery, respectively. Finally the ecosystem risk index estimated at 1.184.

시계열 데이터를 활용한 항공 화물 물동량 영향 요인에 관한 연구 : 인천-상하이, 광저우, 톈진, 베이징을 중심으로 (A Study on the Factors Affecting Air Cargo Volume Using Time Series Data : Focusing on Incheon-Shanghai, Guangzhou, Tianjin, and Beijing)

  • 신승연;문승진;박인무;안정민;한용희
    • 산업경영시스템학회지
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    • 제43권4호
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    • pp.15-22
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    • 2020
  • Economic indicators are a factor that affects air cargo volume. This study analyzes the different factors affecting air cargo volume by each Chinese cities according to the main characteristics. The purpose of this study is to help companies related to China, airlines, and other stakeholders predict and prepare for the fluctuations in air cargo volume and make optimal decisions. To this end, 20 economic data were used, and the entire data was reduced to 5 dimensions through factor analysis to build a dataset necessary and evaluated the influencing factors by multi regression. The result shows that Macro-Economic Indicators, Production/Service indicators are significant for every cities and Chinese manufacture/Customer indicators, Korean manufacture/Oil Price indicators, Trade/Current indicators are significant for each other city. All adjusted R2 values are high enough to explain our model and the result showed excellent performance in terms of analyzing the different factors which affects air cargo volume. If companies that are currently doing business with China can identify factors affecting China's cargo volume, they can be flexible in response to changes in plans such as plans to enter China, production plans and inventory management, and marketing strategies, which can be of great help in terms of corporate operations.

머신러닝을 이용한 정부통계지표가 소매업 매출액에 미치는 예측 변인 탐색: 약국을 중심으로 (Exploring the Predictive Variables of Government Statistical Indicators on Retail sales Using Machine Learning: Focusing on Pharmacy)

  • 이광수
    • 인터넷정보학회논문지
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    • 제23권3호
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    • pp.125-135
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    • 2022
  • 본 연구는 데이터, 네트워크, 인공지능을 기반으로 산업 생태계 조성을 위해 구축된 정부통계지표가 약국 매출액에 영향을 미치는지 머신러닝을 이용하여 변인을 탐색하고 약국 매출액 예측에 적합한 분석 기법을 제공하고자 한다. 이에, 본 연구는 28개 정부통계지표와 소매업종인 약국을 대상으로 2016년 1월부터 2021년 12월까지의 분석 데이터를 활용하여 머신러닝 기법인 랜덤 포레스트, XGBoost, LightGBM, CatBoost을 통해 예측 변인 및 성능을 탐색하였다. 분석결과 경기관련 지표인 경제심리지수, 경기동행지수순환변동치, 소비자심리지수는 약국 매출액에 영향을 미치는 중요한 변인으로 나타났고, 회귀성능은 지표 MAE, MSE, RMSE를 살펴본 결과 랜덤 포레스트가 XGBoost, LightGBM, CatBoost 보다 성능이 가장 우수하게 나타났다. 이에, 본 연구는 머신러닝 결과를 토대로 약국 매출액에 영향을 미치는 변인과 최적의 머신러닝 기법을 제시하였으며, 여러 시사점과 후속연구를 제안하였다.

Resetting the Evaluation Indicators for School Garden Education Service

  • Hong, In-Kyoung;Yun, Hyung-Kwon;Jung, Young-Bin;Lee, Sang-Mi;Lee, Choon-soo
    • 인간식물환경학회지
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    • 제24권3호
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    • pp.245-256
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    • 2021
  • Background and objective: The vitalization of urban agriculture has increased various forms of experience-based education using school gardens, which raised the importance of school gardens in terms of value as well as the need to develop an implementation system for education-based agricultural experience service using school gardens. Thus, we reset the evaluation indicators from the previous study to establish objective evaluation indicators that enable quantitative comparison of school garden education services. Methods: Analytic hierarchy process (AHP) and direct question (DQ) surveys were conducted on 20 experts from October 12 to 19, 2020 after establishing the purpose and subjects of evaluation, and then the weights were calculated using the Expert Choice 2010 program. Results: First, we analyzed the problems of the previous indicators by categorizing the performance indicators and comparing and verifying them with six requirements of valuation. Then, we added 'welfare values' and established sub-indicators accordingly. The importance of value indicator in AHP was in the order of education values (0.544), health values (0.182), welfare values (0.164), environmental values (0.062), and economic values (0.049). The importance of environmental and economic values was relatively low, less than 0.1. The importance of sub-indicators was highest in cultivating character (0.144), followed by enhancing ecological sensitivity (0.141) > promoting mental health (0.134) > cultivating agricultural literacy (0.120) > improving social skills (0.104). And mitigating climate change in environmental values was lowest (0.009). Increase in income was the lowest (0.036). This can be regarded as the expression of change to increase the educational effect based on collective life and the connotative meaning of 'school'. In the case of DQ, the AHP weight and order were the same, but the environmental and economic values were relatively low, and the result was different from AHP weight. For sub-indicators, the importance in DQ was highest in promoting mental health (0.136), followed by promoting physical health (0.085), ]cultivating character (0.082), social integration (0.072), and enhancing ecological sensitivity (0.071). After reviewing related experts, we came up with 5 evaluation indicators and 16 sub-indicators for school garden education service, which are objective evaluation indicators that enable quantitative comparison. Conclusion: In the future, we will validate the socioeconomic values of school garden education services and contribute to revitalizing school gardens by establishing policy alternatives for effective operation and management of school gardens.

농촌고령화 위기 대응을 위한 지역특성 변화 분석지표 개발 (Development of Indicators to Evaluate the Regional Preparedness Level for Rural Aging)

  • 이지민;이윤희;배연정;이정재;서교
    • 농촌계획
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    • 제18권4호
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    • pp.69-78
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    • 2012
  • Korean population has been rapidly aging. Most of people regard the aging population as future crisis due to the rate of change and agree to prepare for a soft-landing on aging society in South Korea. Particularly, the aging population growth in rural areas is much faster than urban areas. Also rural areas relatively have poorer social and economic conditions so the countermeasures for population aging considering related social and economic indices are required. Moreover, each rural region has the different preparedness level for rural aging based on regional socio-economic characteristics. In this study, we analyzed correlations of the rural aging rate and local characteristics and developed an evaluation index to show the regional preparedness status for rural aging. To test the applicability of developed indicators, we applied them to 161 rural regions and assessed regional preparedness level for rural aging. This study would provide basic data for establishing policies for rural aging.

Business Cycle and Occupational Accidents in Korea

  • Kim, Dong Koo;Park, Sunyoung
    • Safety and Health at Work
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    • 제11권3호
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    • pp.314-321
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    • 2020
  • Background: Occupational accidents occur for a variety of reasons, such as unsafe behaviors of workers and insufficient safety equipment at the workplace, but there are also various economic and social factors that can impact working conditions and working environment. This study analyzed the relationship between changes in economic factors and the occurrence of occupational accidents in Korea. Methods: Multilinear regression analysis was used as the analysis model. The general to specific method was also used, which consecutively removes statistically insignificant variables from a general model that includes dependent variables and lagged variables of dependent variables. Results: The frequency of occupational accidents was found to have a statistically significant relationship to economic indicators. The monthly number of cases of occupational injury and disease and fatal occupational injuries were found to be closely related to manufacturing capacity utilization, differences in the production index in the services sector, and commencements of building construction. The increase in equipment investment indicators was found to reduce fatal occupational injuries. Conclusion: The results of this study may be used to develop occupational accident trends or leading indicators, which in turn can be used by organizations that manage and monitor occupational accidents toward taking administrative action designed to reduce occupational accidents. The results also imply that short-term and mid- to long-term economic and social changes that can impact workers, workplaces and working conditions, and workplace organizations must be taken into account if more effective government policies are to be established and implemented toward further prevention of occupational accidents.

Regulatory Sentiment and Economic Performance

  • JUNGWOOK KIM;JINKYEONG KIM
    • KDI Journal of Economic Policy
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    • 제45권1호
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    • pp.69-86
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    • 2023
  • Regulatory sentiment refers to the market's subjective evaluation of regulatory reform and is one of the most widely adopted indicators to those charged with implementing and diagnosing regulatory policies. The use of regulatory sentiment in advanced analysis has become universal, albeit it is often limited due to difficulties in articulating consistent and objective quantitative indicators that can meticulously reflect market sentiment overall. Thus, despite ample effort by scholars to read the economic impact of regulatory sentiment in the real economy, causal links are difficult to spot. To fill this gap in the literature, this study analyzes a regulatory sentiment index and economic performance indicators through a text analysis approach and by inspecting diverse tones in media articles. Using different stages of tests, the paper identifies a causal relationship between regulatory sentiment and actual economic activities as measured by private consumption, facility investment, construction investment, gross domestic investment, and employment. Additionally, as a result of analyzing one-unit impulse of regulatory perception, the initial impact on economic growth and private investment was found to be negligible; this was followed by a positive (+) response, after which it converged to zero. Construction investment showed a positive (+) response initially, which then rapidly changed to a negative (-) response and then converged to zero. Gross domestic investment as the initial effect was negligible after showing a positive (+) reaction. Unfortunately, the facility investment outcome was found to be insignificant in the impulse response test. Nevertheless, it can be concluded that it is necessary and important to increase the sensitivity to regulations to promote the economic effectiveness of regulatory reforms. Thus, instead of dealing with policies with the vague goal of merely improving regulatory sentiment, using regulatory sentiment as an indicator of major policies could be an effective approach.

생물지표를 이용한 통합연안관리 방법 (The Method of integrated coastal management using biological indicators)

  • 박민서;박종화;신용희
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2003년도 학술발표논문집
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    • pp.319-322
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    • 2003
  • Integrated coastal management (ICM) requires robust indicators that gauge the 'health' of the coast in relation to environmental, social and economic activities. Biological indicators(bio-indicators) offer a signal of the biological condition in an ecosystem. Using bio-indicators as an early warning of pollution or degradation in an ecosystem can help sustain critical resources. This review examines the rationale and value of selecting species as bio-indicators of human induced changes within estuaries, using examples from both the western and southern coast. It include a range of biological parameters relating to particular species, groups of species and biological processes. The use of these indicators is critically reviewed and the presence or absence of a relevant framework for their use in Korean ICM programs is discussed.

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환경친화적인 농촌개발을 위한 평가지표의 개발과 그 적용에 관한 연구 (Development and Adaptation of Indicators for the Environmentally Friendly Rural Community Planning)

  • 권정아;이동근;최재용
    • 한국환경복원기술학회지
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    • 제3권3호
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    • pp.29-36
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    • 2000
  • The purpose of this study is to develop and adapt indicators for the rural community assessment. Bearing in mind, indicators are derived from the various theoretical literature review and the efficiency of the indicators has been tested through comparing and evaluating 3 different rural communities which was selected based on their distance from Seoul. In order to assess a rural development project, the assessment indicators should include at least 5 domains of natural environment, socio-economic, quality of living environment, community characteristics, public participation, which are the basic formation of indicators of this study. Furthermore, this approach could be a ground for the environmentally friendly rural development planning.

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뉴스기사를 이용한 소비자의 경기심리지수 생성 (Construction of Consumer Confidence index based on Sentiment analysis using News articles)

  • 송민채;신경식
    • 지능정보연구
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    • 제23권3호
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    • pp.1-27
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    • 2017
  • 경제주체들의 경기상황에 대한 판단 및 전망은 경기변동에 영향을 미치므로 경기심리지수와 거시경제지표들 간에는 밀접한 관련성을 나타내는 것으로 알려져 있다. 경기선행지표로 국내에서 많이 사용되는 경기심리지수에는 소비자동향조사, 기업경기조사, 경제심리지수가 있다. 그러나 설문조사를 통해 생성된 지수는 자료의 성격상 속보성이 떨어지는 문제가 있다. 본 연구에서는 이러한 정형데이터의 한계를 보완할 수 있도록 비정형데이터에서 정보를 추출해 경기심리지수를 생성하고, 경제분석에서의 활용 가능성을 검토하였다. 민간소비와 관련된 실물지표에는 소매판매업지수와 서비스업생산지수를 사용하였고, 고용지표에는 고용률과 실업률을, 가격지표에는 소비자물가상승률과 가계의 대출금리를 사용하여 지표들 간의 추이 분석 및 시차구조 파악을 위한 교차상관분석을 수행하였다. 마지막으로 이들 지표들에 대한 예측 가능성을 점검하였다. 분석결과, 다른 지표들의 선행지수로 많이 사용되는 소비자심리지수와 비교해 선택 지표들과 높은 상관관계를 보이며, 1~2개월 선행한 것으로 나타났다. 예측력 또한 향상되어 텍스트데이터에서 생성한 소비자 경기심리지수의 유용성이 확인되었다. 온라인에서 생성되는 뉴스기사나 소셜 SNS 등의 텍스트 데이터는 속보성이 뛰어나고, 커버리지가 넓어 특정 경제적 이슈가 발생할 경우 이것이 경제에 미치는 영향을 빠르게 파악할 수 있다는 점에서 경기판단지표로써의 잠재적 가능성이 클 것으로 보인다. 경제분석에서 비정형데이터를 활용한 국내연구는 초기 단계지만 데이터의 유용성이 확인되면 그 활용도가 크게 높아질 것으로 기대한다.