• Journal of Digital Convergence
• /
• v.16 no.12
• /
• pp.185-195
• /
• 2018

This study aims to explore the development of FinTech industry in Korea by comparing and analyzing the effect of job creation in the FinTech industry in Korea and the US. The industry Input-Output table used in the analysis used WIOD, which is composed of the same industrial classification and monetary unit in both Korea and the US. For the analysis, the FinTech industry is composed of ICT sector and financial sector as one industry. This study also compares the employment creation effect in the ICT sector and the financial sector, in addition to the FinTech industry, in order to distinguish the FinTech industry characteristics of the two countries. As a result of the analysis, when the investment or production of 1 million US dollars was made in the FinTech industry in Korea, the employment inducement effect was 11.33 and the employment inducement effect was 9.47, indicating a total employment creation effect of 20.8 persons. In the United States, the Direct employment effect was 8.07 and the indirect employment effect was 7.72, indicating that the employment creation effect was 15.79. However, as a result of classification by the average employment creation effect of the national economy, Korea 's FinTech industry is classified as indirect employment advantage with a high indirect employment inducement effect and the United States is classified as an employment creation advantage with high both direct and indirect employment inducement effect.

• Journal of Korean Society of Forest Science
• /
• v.96 no.3
• /
• pp.338-347
• /
• 2007

The purpose of this study was to analyze a ripple effect of the regions, Samcheok city, Goseong county and Donghae city, in Gangwon province by government aid for forest fire restoration through the input-output analysis. These regions were devastated by forest fire in 2000. Direct production inducement effect was higher than indirect production inducement effect except for construction industry. Income inducement effect similarly showed production inducement effect Indirect employment inducement effect was higher than direct employment inducement effect. The efficiency of government aid took a side view of three effects. Production inducement effect and income inducement effect in Donghae were more efficient than these in Samcheok and Goseong. Employment inducement effect in Samcheok was more efficient than it in Goseong and Donghae.

• Journal of Korea Port Economic Association
• /
• v.38 no.3
• /
• pp.53-68
• /
• 2022

In this study, the economic value and economic ripple effect of the Jeju Inland Port redevelopment project were estimated. The economic value was estimated from the viewpoint of amenity, the value of non-market goods such as landscape improvement, environmental improvement, and recreation effects. As a result of the estimation, the population was divided into Jeju Island and other regions and the individual's willingness to pay was estimated to be 2,952.9 won in Jeju Island and 4,722.8 won in other regions. On the other hand, the economic ripple effect of the Jeju Inland Port redevelopment project was estimated during the project period and after the completion of the economic ripple effect was estimated. As a result of the estimation, the production inducement value was KRW 84,387 million, the value-added inducement effect was KRW 37,292 million, and the employment inducement value was 5,846 employment when the (direct employment + indirect employment) effect was combined. After the end of the project period, as of 2022, there were 518,000 foreign tourists, and the value-added inducing effect was estimated to be about 149,885 million won.

• Journal of Forest and Environmental Science
• /
• v.30 no.1
• /
• pp.145-151
• /
• 2014

The study examines the feasibility of hosting the International Wood Industry EXPO as a part of the effort to establish Wood Industry Cluster in Jeollanam-do. The provisional EXPO period suggested by the study is 30 days between July 23 (Saturday) and August 21 (Sunday) 2016 and the proposed venues are Namdo International Education Center, Woodland, and Woodcraft Center, Jangheung-gun, Jeollanam-do, and so on. According to the study, it is calculated that the expected investment cost amounts to around 4.5 billion won and the number of total potential visitors reaches 1,627,478. The study also predicts that the EXPO generates various economic effects and outputs that can be quantified as following; a production inducement effect equivalent of 344.5 billion won, an income inducement effect of 77 billion won, an employment inducement effect corresponding to 3,899 jobs, a value-added inducement effect equivalent of 143 billion won, and an indirect tax inductive effect of 32 billion won. Then, emphasizing the need for the organizing committee that can play an important role in managing the overall EXPO events, the study, based on the figures, concludes that the International Wood Industry EXPO 2016 is to be promoted at the regional and national level.

• Journal of Digital Convergence
• /
• v.13 no.4
• /
• pp.61-68
• /
• 2015

This study aims to estimate the economic effects of the simulation golf industry. Two steps are taken. Step 1 is to calculate the direct effect which includes input required to install the facility and consumer's fee to pay for the simulation golf, and the indirect effect which includes the introduction of the field golf course derived from simulation golf. Step 2 is to calculate the production, value added and employment inducement effect. As a result of this calculation, total production inducement effect is 3.6 trillion won, value-added inducement effect is calculated at about 1.66 trillion won, while employment inducement effect is 34.6 thousand people in 2011. This study is expected to contribute to providing a basis for the policy to support the simulation industry and for estimation of the economic effect in the different simulation industry such as the simulation baseball.

• The Journal of Fisheries Business Administration
• /
• v.53 no.3
• /
• pp.17-26
• /
• 2022

This study attempted to estimate the amount of expenditure per capita of visitors to the Mongsanpo fishing village tourism festival, and quantitatively measure how much the festival contributes to the local and national economy through input-output model. The analysis data used 302 questionnaires, excluding missing questionnaires, surveyed on festival visitors from April 21 to May 7, 2018, during the 9th Mongsanpo port webfoot octopus and seafood festival. The main results of this study can be summarized as follows. First, analyzing the average expenditure per person of festival visitors, it shows that the average one-person festival visitor consumes KRW 129,519: entertainment costs KRW 5,672 (4.4%), accommodation costs KRW 16,860 (13.0%), food costs KRW 74,791 (57.7%), transportation costs KRW 21,646 (16.7%), shopping costs KRW 6,788 (5.2%), and other costs KRW 3,762 (2.9%). Among the expenditures of festival visitors, the proportion of food expenses was the highest, and transportation costs and accommodation costs were in order. Second, based on the actual expenses spent by visitors at the fishing village tourism festival, the direct economic effect of the Mongsanpo fishing village festival was estimated be approximately KRW 14.8 billion. Third, as a direct and indirect economic impact effect of the Mongsanpo fishing village tourism festival in 2018, the amount of production induced in the local and national economies was estimated at KRW 33.3 billion, and the amount of value-added inducement was estimated at 11.3 billion won, and employment inducement reached 272 people, which is considered to contribute greatly to the national economy. This study quantitatively analyzes and provides the extent to which the fishing village tourism festival using local specialized fisheries directly or indirectly contribute to the local and national economy. Thus, it is expected to serve as useful information by providing basic information on business feasibility required for budgeting for local fishing tourism festivals.

• Journal of Korean Society of Rural Planning
• /
• v.21 no.2
• /
• pp.23-32
• /
• 2015

The objective of this study is to analyze how much economic impact is changed before and after the designation as biosphere reserve area by tourism. The subject region of this study is Hajun mud village which is the famous place to experience eco-tourism located in Gochang-gun. This region has been designated as a UNESCO biosphere reserve in 2013. In order to estimate the regional economic effects, we employ a regional input-output model which is derived by a RAS method. Using regional input-output model analysis, this study estimates direct and indirect effects of tourist's expenditure on experience of Hajun mud village in Gochang-gun across associated industries between 2011 and 2013. Also, we tried to calculate a net increase in number of visitors in 2013 with considering the trend of tourist in this region and estimate a net regional economic effect after the designation as a biosphere reserve area by tourism. The empirical result could be summarized as follows : (1) the change of production inducement effect shows that regional outputs is approximately increased by 386 million won between 2011 and 2013, (2) regional value-added is increased by 223 million won during the same period, (3) regional employment is approximately increased by 20 according to the labor inducement effects of expanding tourist's expenditure in biosphere reserve area. (4) social service industry has highly been benefited by increase in experience tourist after Gochang-gun was designated as the biosphere reserve area. (5) estimated net increase in number of visitors after the designation as biosphere reserve area is about 37,364 which is 93.4% of the absolute increase in number of visitors amounting 40,011 between 2011 and 2013.