• Title/Summary/Keyword: Input-output table

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An Analysis of Marketing and Industrial Structure in Meat Processing Products (육가공품(肉加工品)의 유통(流通) 및 산업구조(産業構造) 분석(分析))

  • Kim, Chul Ho;Cho, Gyeong Ran
    • Korean Journal of Agricultural Science
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    • v.15 no.2
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    • pp.164-173
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    • 1988
  • This study is to analyse marketing and industrial structure of meat processing industry and to examine it's current situation related to agriculture. For this purpose 1. This paper surveys the history of meat processing industry, and analyses current situation of meat processing industry, based upon economic statistic data. 2. For the research of marketing structure of meat processing products, this paper not only ciassifies into three catagories; the supply of raw meat, main marketing organization, and path, but measures magnitude of Marketing Bill and Farmer's Share practically through statistic data and an on-the-spot survey. 3. This study also attempt to explain the relation of meat processing industry and the other industry and role of meat processing industry is Korean economy by the use of input-output table. The results of the study are as follows; 1. The meat processing industry in Korea produces low quality, and expensive raw meat with limited quality, inefficiency of marketing structure, and unrelated livestock and meat processing industry. 2. Korea market structure of meat processing products has been changed into oligopoly from monopoly by a new corporation entered into monopoly and the size of meat processing market firms has been normalized. 3. Meat processing industry is very important considering with its high back-linkage-effect. In order to develop meat processing industry and marketing, it is essential that operation of intergrated meat market center, meat market center should be efficiently operated. The efficient utilization of domestic resource for raw meat and development of processing technique have to be required, by means of the governmental support.

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Technological Obsolescence in the Korean Industries: The Measurement by Embodiment Hypothesis and Its Relationship with Labor Productivity (우리나라 산업에서의 기술진부화: 체화가설에 의한 측정 및 노동생산성과의 연관성)

  • Sung, Tae Kyung
    • Journal of Korea Technology Innovation Society
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    • v.16 no.2
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    • pp.391-407
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    • 2013
  • The paper tests the embodiment hypothesis by measuring the technological obsolescence of a specific year (1990)'s technology and investigating the relationship between labor productivity and technological obsolescence. This approach is based on Salter (1969) that emphasizes the economic aspect of technology. We use the rate of economic surplus as the proxy of technological obsolescence for 10 main industries, including food processing, textiles, chemicals, non-steel metals, steels, metal products, machinery, electronics, precision machinery, and transportation equipments. The result shows that the embodiment hypothesis is not accepted for the overall manufacturing sector. However, we found the vintage effect - a positive relationship between technological obsolescence and labor productivity over time - in textiles, chemicals, non-steel metals, metal products, electronics, and transportation equipments. Therefore, the government should support R&D investment as well as capital equipments investment for the industries with large vintage effect.

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Economic Effects of Sewage and Wastewater Treatment Service Sector: An Inter-industry Analysis (산업연관분석을 활용한 하수처리 부문의 경제적 파급효과 분석)

  • Park, So-Yeon;Lim, Seul-Ye;Yoo, Seung-Hoon
    • Journal of Korean Society of Water and Wastewater
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    • v.29 no.2
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    • pp.171-182
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    • 2015
  • The economic effects of sewage and wastewater treatment service (SWTS) sector on other sectors have been rarely investigated in the literature. This paper attempts to apply an inter-industry analysis to looking into the economic effects of the SWTS sector. To this end, the most recently published 2012 input-output table is used here. In particular, the SWTS sector is specified as exogeneous to identify the economic effects of the SWTS sector on other sectors. Production-inducing effect, value-added creation effect, and employment-inducing effect are quantified based on demand-driven model. Supply shortage effect and price pervasive effect are also analyzed employing supply-driven model and Leontief price model, respectively. The results show that production-inducing effect and value-added creation effect of a unit of investment or production in SWTS sector are estimated to be 1.7076 and 0.7392, respectively. The employment-inducing effect of one billion of investment or production in the SWTS sector is computed to be 11.0498 persons. The shortage effect of the SWTS sector amounts to 0.8417 won. The overall price effect of the 10% increase in the price of SWTS sector is calculated to be 0.0115%. This quantitative information can be utilized in predicting the economic effects of the SWTS sector-related activities or policy-making.

Application of Numerical Weather Prediction Data to Estimate Infection Risk of Bacterial Grain Rot of Rice in Korea

  • Kim, Hyo-suk;Do, Ki Seok;Park, Joo Hyeon;Kang, Wee Soo;Lee, Yong Hwan;Park, Eun Woo
    • The Plant Pathology Journal
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    • v.36 no.1
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    • pp.54-66
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    • 2020
  • This study was conducted to evaluate usefulness of numerical weather prediction data generated by the Unified Model (UM) for plant disease forecast. Using the UM06- and UM18-predicted weather data, which were released at 0600 and 1800 Universal Time Coordinated (UTC), respectively, by the Korea Meteorological Administration (KMA), disease forecast on bacterial grain rot (BGR) of rice was examined as compared with the model output based on the automated weather stations (AWS)-observed weather data. We analyzed performance of BGRcast based on the UM-predicted and the AWS-observed daily minimum temperature and average relative humidity in 2014 and 2015 from 29 locations representing major rice growing areas in Korea using regression analysis and two-way contingency table analysis. Temporal changes in weather conduciveness at two locations in 2014 were also analyzed with regard to daily weather conduciveness (Ci) and the 20-day and 7-day moving averages of Ci for the inoculum build-up phase (Cinc) prior to the panicle emergence of rice plants and the infection phase (Cinf) during the heading stage of rice plants, respectively. Based on Cinc and Cinf, we were able to obtain the same disease warnings at all locations regardless of the sources of weather data. In conclusion, the numerical weather prediction data from KMA could be reliable to apply as input data for plant disease forecast models. Weather prediction data would facilitate applications of weather-driven disease models for better disease management. Crop growers would have better options for disease control including both protective and curative measures when weather prediction data are used for disease warning.

Development of Railroad Rockfall and Landslide Information System using GIS (GIS를 이용한 철도 연변 낙석, 산사태 정보시스템 개발)

  • 이사로;송원경;박종휘
    • Tunnel and Underground Space
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    • v.11 no.1
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    • pp.64-71
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    • 2001
  • The purpose of this study is to develop rail rockfall and landslide information system to manage spatial database using GIS. For this, a spatial database containing information such as railroad, map, topographic analysis, meteorological data, and rockfall has been constructed for 2.5 km or 5 km buffer zone from the Kyungchun, Youngdong, Jungang, Taebak and Jungsun Rairoad where risk of landslide occurrence potential is high. For management of the spatial database, railroad rockfall and landslide information system has been developed. The information system consists of view, table, chart, layout and project environment. The functions provided in the system are data conversion, editing, labeling, zoom in and out, map making, graphic editing, text DB management, charting, on-line help as well as input, retrieve and output of spatial database. The system was developed using ArcView script language Avenue, and consisted of pull-down menus and icons for easy use. The spatial database and the information system can be used to rockfall and landslide management and analysis near the railroad as basic data and tool.

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Calculation of Virtual Water Trading Between Countries (국가 간 가상수 거래 산정)

  • Park, Sung Je;Kang, In Hye;Park, Jui;Ryu, Si Saeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.210-210
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    • 2018
  • 효과적인 물 사용과 물 관리 정책을 수립하기 위해서는 산업적 차원에서의 물 발자국 연구를 통해 산업 전반적인 수자원 활용 상황을 비교 분석할 필요가 있다. 또한 앞으로 국가 차원의 물 안보 정책을 수립하기 위해서는 기후변화와 국제환경 변화로 인해 우리나라의 물발자국 변화를 예측하는 것이 필수적이다. 국외에서는 일찍이 물과 환경전문 교육기관인 UNESCO-IHE를 중심으로 물발자국 산정방식의 이론적 연구와 함께 가상수 무역에 대한 연구를 진행해왔으며, 국제표준화기구(International Organization for Standardization, 이하 ISO)는 2014년 물발자국에 대한 가이드라인을 국제표준으로 지정하였다. 국내에서는 2009년 가상수와 물발자국에 대한 이론이 소개되어 공공기관의 주도로 가상수 및 물발자국과 관련된 연구가 진행되어 왔다. 이러한 연구결과를 바탕으로 데이터베이스를 구축하기도 하였으나 1차 산업 위주로 구성되어 있어 2차, 3차 산업 등 다른 산업에 대한 정보는 부족한 상태이다. 따라서 앞으로는 2차, 3차 산업 등에 대한 연구가 필요하다. 국제 가상수 거래의 도출을 위한 기초자료로서 WIOD의 input-output tables와 environmental accounts 등을 활용하였다. 본 연구에서는 생산량, 물사용량과 관련된 지표를 결합하여 가상수량을 도출하는 과정을 제시하고, 가상수 이동흐름 및 추이를 분석하였다. 이를 위해 주요 16개국(아르헨티나, 호주, 브라질, 캐나다, 중국, 프랑스, 독일, 인도, 일본, 한국, 러시아, 사우디아라비아, 태국, 미국, 베트남)의 농축산물 주요 10개 품목(쌀, 보리, 옥수수, 밀, 콩, 감자, 채소, 소고기, 돼지고기, 계란)을 대상으로 분석을 실시했다. 또한 국가별 가상수 교역량, 국가 간 가상수 교역량에 대한 1989년부터 2014년까지의 데이터셋을 구축하고 이에 대해 분석을 수행하였다. 가상수 교역의 품목별 분석결과 주요 16개국의 주요 가상수 수입 품목은 콩, 옥수수, 밀, 보리 순이며, 주요 가상수 수출 품목은 밀, 콩, 옥수수, 쌀 순으로 파악되었다. 가상수의 종류별로 분석한 결과 가상수 교역량은 지난 25년간 녹색 가상수가 94%의 압도적으로 많은 비중을 차지하고 있었다. 국가별로 가상수 수출입량을 분석한 결과 1989년에서 2013년까지 미국, 브라질, 아르헨티나, 호주 등 주요 농업 국가들이 전 세계 가상수 수출에서 우위를 점하고 있는 것으로 분석되었다.

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Industrial Competitiveness of the Value-Added Exports in the Major Trading Countries (세계산업연관표를 활용한 주요국가의 산업경쟁력 분석)

  • Lee, Chang-Soo;Cheong, A-rion;Chung, Yu-Ri
    • Korea Trade Review
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    • v.41 no.2
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    • pp.97-121
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    • 2016
  • This study evaluates industrial competitiveness of 34 industries in the 41 countries in terms of several trade indices such as value-added RCA(VRCA) and value added intra-industry trade(VIIT). Conclusions are as follows: First, China is still showing week evidence to replace or overtake Korea in terms of VRCA. Second, it is not supportive of the assertion that the gap between Japan and South Korea had widened in the 1995-2011 period. Third, Korea's exports pattern in the manufacturing sector has shifted from the one featured by developing countries(re-exportation of final goods produced using imported intermediate inputs) to that of the developed (exportation of intermediate goods). According to dynamic panel analysis regressing the RCA gap on the IIT gap, intermediate-goods RCA and the market share gap, the estimated coefficient of the gap between value-added IIT and gross IIT is 0.253 and statistically significant at the 2% level. This implies that increases in IIT or intermediate-goods trade to sustain the global competitiveness are the main reasons for the gap between value-added RCA and gross RCA.

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Performance Evaluation of Smart Accelerometers for Structural Health Monitoring (구조 건전성 감시를 위한 스마트 가속도계의 성능 평가)

  • Yi, Jin-Hak;O, Hye-Sun;Yun, Chung-Bang
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.4A
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    • pp.605-609
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    • 2006
  • In this study, two kinds of smart accelerometers are investigated for the application of smart sensors to the structural health monitoring of infrastructures. Smart optical Fiber Bragg Grating (FBG) type and Micro-Electo-Mechanical System (MEMS) type accelerometers are selected for this study and the high sensitive ICP type accelerometer is used for the reference sensor. Small size shaking table tests were performed with 3-story shear building model using random input ground motions. The output only modal identification was carried out using stochastic subspace identification and the performances of sensors are compared in modal domain indirectly. The modal sensitivity method was applied to update the story stiffness of numerical model and the updated results were verified using the additional experiments for the same structure with additional mass.

An Analysis on the National Economic Contribution of the Chinese Textile Industry (중국 섬유산업의 국민경제적 기여도 분석)

  • Wang, Si-Yi;Meng, Hai-Yang;Bae, Ki-Hyung
    • The Journal of the Korea Contents Association
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    • v.16 no.8
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    • pp.651-660
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    • 2016
  • This study analyzed the contribution of the national economy, China's textile industry by 2010 I-O Table issued by the Chinese Bureau of Statistics 2013. The results shows that the production inducement coefficient of China's textile industry is the column total 3.6228 and in line total 3.5452, is a key industry that leads the industry in China. Second, the index of the power of dispersion of the Chinese textile industry is 1.1982, index of the sensitivity of dispersion is 1.1725. Third, income inducement coefficient of China's textile industry 0.5228, tax inducement coefficient 0.1522, a value-added inducement coefficient 1. Especially China's textile industry induce 2993.6 trillion yuan(textile industry of 8.6 trillion yuan, up 3.0%) in the national production, value-added inducement 97.1 trillion yuan (textile industry 1.7 trillion yuan, up 2.0%), income inducement 42.8 trillion yuan (textile industry 0.9 one trillion yuan, 2.0%), also tax inducement 15.4 trillion yuan (textile industry 0.3 one trillion yuan, 2.0%).

The Supply Shortage Effects of Oil Refinery Industry in Korea (국내 정유산업의 공급지장효과 분석)

  • Cho, Yong-Cheol;Lee, Yong-Hwan;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.24 no.3
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    • pp.164-172
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    • 2015
  • As the petroleum products produced from the Oil refinery industry (ORI), a national key industry in Korea, are supplied to other industries as an intermediate goods, the supply shortage of ORI has a large impact on the national economy. This paper attempts to analyze the supply shortage effects which are defined as the negative impact of one won of supply failure in the ORI on the production of other industries. To this end, an inter-industry analysis using an input-output (I-O) table describing inter-industry flow of intermediate goods is applied. More concretely, the supply-driven model is employed over the period 1990-2012. In addition, the results are compared with those for shipbuilding, semiconductor, and steel industries. The results show that the supply shortage effects are computed to be 0.9205 won when using 2012 I-O table. More specifically, the supply shortage effects on chemical products and transportation industries are computed to be 0.2113 and 0.1140, which are relatively large, The supply shortage effect of ORI is smaller than that of steel industry (1.4131 won), but larger than that of shipbuilding industry (0.0586 won) and that of semiconductor industry (0.1111 won).