• Economic Analysis
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• v.26 no.4
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• pp.65-97
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• 2020

The purpose of this paper is to analyze the effects of exports on Korea's employment and to decompose driving factors of change in Korea's employment embodied in exports (EEX). This study uses a multi-regional input-output (MRIO) and structural decomposition analysis (SDA) for empirical analysis, and uses a dataset of World Input-Output Tables (WIOTs) and Socio-Economic Accounts (SEAs) from the World Input-Output Database (WIOD). The main findings of the empirical results are summarized as follows. First, Korea's EEX continues to increase and Korea's share of EEX compared to total employment shows an upward trend. However, Korea's employment inducement coefficient of value-added exports showed a downward trend during the 2000-2014 period. Second, final demand from three countries (China, the United States, and the Rest of the World (RoW)) has affected a significant portion of Korea's EEX. Finally, from the results of the SDA, the effect of changes in final demand was the most important driving factor for the increase in Korea's EEX. Based on the results of this empirical analysis, this study discusses useful policy implications that could increase domestic employment in Korea.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.2
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• pp.137-151
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• 2015

The EXPO 2012 Yeosu Korea is a leading special event held in Yeosu city, Jeonnam Province from May to August 2012. It is a general expectation to encounter many research papers on the analyses of economic impacts of special event after the event was held. As far as we found, however, there is no related research. With based on these issues, the aim of this article is to identify and examine the economic impacts of the EXPO 2012 Yeosu Korea in hosting area, Yeosu area. The economic impacts of EXPO 2012 Yeosu Korea in Yeosu area are as follows; increase of total number of business, increase of total amount of global income tax, in particular, tourism related business such as food and hospitality sectors, production inducement effect about 8 trillion and 5,783 billion won in the entire industrial sector, and production inducement effect about 3 trillion and 8,097 billion won in the tourism related industrial sector.

• Journal of the Korean Society of Hazard Mitigation
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• v.7 no.4
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• pp.41-49
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• 2007

This study aims to examine the ripple effect of the '119 Integrated Information System' for city disaster management on the local economy. The study was conducted in the area of Gyeongnam province, and the study method is the interdependence analysis based on the Input Coefficient drawn from Input-Output Tables in which Intermediary Transaction Tables drawn through RAS was taken advantage of to grasp the correlation among industries and regions in terms of the local economy, and the ripple effect of the changes of political exogenous variables on the local economy was divided to such elements as production, added value, and employment so as to attempt empirical analysis on the local economy system. To estimate the ripple effect on the local economy, three different amounts of the expected input were applied to the study respectively and the results are as follows: Some $28.7{\sim}42.4$ billion won for the production induction effect, some $7.5{\sim}11.4$ billion won for the added-value induction effect, some $103{\sim}157$ job openings for the employment induction effect, and some $3.8{\sim}5.7$ billion won for the income induction effect are expected to take place as the ripple effect on the local economy.

• Journal of Wetlands Research
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• v.15 no.2
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• pp.159-164
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• 2013

The 4 major rivers restoration project (4RRP) requires the government to invest a lot of money. Regional economic effect is one of the main purposes of implementing the 4RRP. This paper attempts to measure the regional economic effects, focusing on regional employment-inducing effect and regional income-inducing effect. Regional employment-inducing effect is computed by excluding indirect effect and directly investigating the amount of employment. To this end, marginal propensity to consume, household consumption, household income should be derived. We used working day data and government expenditure multiplier to measure local employment creation and income generation. As a result, the project creates 46,628 employments from 2009 to 25 August 2011 and generates 25 trillion won regional income for three years.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.266-273
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• 2015

We studied the financial performance of ammunition stockpile reliability program on the Defense Management. We proposed the direct effect analysis, the indirect effect analysis and the combat power reinforcement effect as the financial performance analysis methodology. And, we estimated the financial performance using the proposed methods and the data of 2013 ASRP's data The financial performance by direct effect and indirect effect analysis was 99.96billion won and 303.7billion won. Also, The financial performance by reinforced Combat power reinforcement was 12.06 billion won. Therefore, the total financial performance of Ammunition Stockpile Reliability Program was 52.43 billion won.

• Journal of Agricultural Extension & Community Development
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• v.21 no.3
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• pp.155-179
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• 2014

Input-output(I-O) analysis is now widely used to examine the economic impact of tourism. The study aims to demonstrate the impact of agri-tourism development project on local development in terms of income and employment. Based on the I-O transactions tables developed by Bank of Korea (2011), rural tourism related sectoral multipliers were derived with respect to output, income, employment, and value-added tax. The results of the I-O model indicate that in 2011, rural tourism development generated 1,387 billion Won of output impact, 287 billion Won of income impact, 275 billion Won of value-added impact, and 41,127 full-time jobs, respectively throughout direct, indirect, and induced effects. In particular, the restaurant sector had relative higher output and employment multipliers as compared to other industries, whereas they had lower multipliers of income and value-added than any other industries. The findings imply that the restaurant sector was relatively labor-intensive industry, generating high impact of employment effects.

• Journal of Korean Society of Forest Science
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• v.102 no.4
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• pp.506-514
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• 2013

This study examined the feasibility on the construction of a wood industrialization service center for a wood industry cluster establishment in Jeollanam-do. Construction of the wood industrialization service center is based on a discount rate of 3.5%, an investment period of 4 years, a business operations period of 16 years and an investment cost of 24600 million won; the total amount of the net present value, the cost-benefit ratio and the internal rate of return were assumed to be 2.579 million won, 2.51%, and 10.1%, respectively. In addition, the production inducement coefficient, the induced production effect, the income-induced coefficient, the income inducement effect, the employment inducement coefficient, and the employment inducement effect were estimated 1.4345, 35287 million won, 0.1655, 4000.7 million won, and 0.4665, 1,145 people, in the effects of the wood related industries using the multi-regional input-output model, respectively. Financial independence of operating income to cover its own costs incurred in accordance with the operating project might be practicable.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.360-375
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• 2019

This paper tries to study the ecosystem after constructing the network of the continuing transactions associated with distribution industry with the data of more than 50 thousands firms provided by the Korean enterprise data (KED) for 2015. After applying the clustering method, one of social network analysis tools, we find the firms in the network grouped into 732 clusters occupying about 80% of whole distribution industry sales in KED data. The firms in a cluster have most of their transactions with other firms in the cluster. But the clusters have smaller firm numbers in the cluster and sales portion of the biggest firms in the industry than the case of the manufacturing industry. The Input-output analysis for the biggest distribution firms show that the small and medium size enterprise(SME)s have very high sale dependency on a main firm in some clusters. This fact implies more efficient fair transaction policies within the clusters. And small number of big distribution firms have very high rear production linkage effects on SMEs or on the 10th or 31th group with high portion of SME employment. They should be considered important in the SME growth and employment policies.

• International Area Studies Review
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• v.13 no.3
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• pp.213-238
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• 2009

This paper empirically examines effects of exporting on employment over the period 2000-2007 for Korean listed and non-listed manufacturing firms. The paper employs the dynamic panel model of labor demand and controls for simultaneity of the exports and real wages using a two step random effect Tobit-DPD (Dynamic Panel Data) procedure. Our empirical results suggest that surprisingly, there is no robust evidence for employment effects of exporting of Korea's large firms and small-medium sized firms during the sample period after Korean financial crisis. This implies that Korean exporting patterns have been changed in a way that exporting highly capital intensive goods leads to importing more intermediate goods and thus to countervailing the employment effects of exporting. This suggests that expansion of exporting by lowering exporting prices through the bilateral FTA might not be helpful to enhancing employment in Korea.

• Journal of Satellite, Information and Communications
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• v.7 no.1
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• pp.13-20
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• 2012

Despite of growing concern for developing meteorological satellites, poor investment has been realized to acquire effective and efficient satellite image processing technologies. In this study, not only qualitative exploration on mapping each elementary technology into related industries but quantitative inter-industry analysis induced from Total Cost of Ownership (TCO) of the Korean satellite image processing system were performed. Furthermore, economic assessment has been made by estimating internal rate of return(IRR) for the benefits returned versus TCO of the system. The results showed that agriculture and fisheries industry, tourist and leisure industry, and transportation industry were highly related with the acquisition of the system, and that 9.1 billion won of production-induced effects, 3.3 billion won of value-added-induced effects, and 54 individuals of employment-induced effects were anticipated except for those of directly relevant industries. Even in the pessimistic scenario, 7% of IRR exceeding 5.5% assumed as current public rate was postulated, consequently, the investment was fairly justified.