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Employment Effects Evaluation of Naver Shopping in 2018

The Journal of Industrial Distribution & Business / The Journal of Industrial Distribution & Business, (E)2233-5382
2019, v.10 no.5, pp.27-36
https://doi.org/https://doi.org/10.13106/ijidb.2019.vol10.no5.27.
KIM, Heung-Kyu
JUNG, Yeon-Sung
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Abstract

Purpose - Naver has emerged as a new leader in the open market. While existing open markets such as Gmarket, 11th Street, and so on are suffering from profitability deterioration, Naver is attracting sellers based on low commission and powerful search engine. We would like to analyze the impact of Naver shopping on the national economy, especially on employment, in a situation where the market reaction to Naver's strength as a leader in online shopping is mixed. Research Design, Data, and Methodology - Through the demand inducing inter-industry analysis, we estimate the employment inducement effect by Naver shopping from its shopping transaction. In turn, through the supply inducing inter-industry analysis, we estimate the employment inducement effect by Naver shopping from its low commission and powerful search engine. For the purpose of inter-industry analysis, as of 2018, the most recently announced 2014 inter-industry table (extension table) from the Bank of Korea is used. Results - The results of this study are as follows. First, Naver Shopping is expected to generate 7.8 trillion won's trade in 2018, resulting in 244,225 of job inducement, and 158,598 of employment inducement. In addition, Naver Shopping is estimated to benefit KRW 213 billion to its sellers due to low commission and powerful search function, resulting in 8,667 of job inducement, and 5,655 of employment inducement. Second, in terms of job inducement and employment inducement due to Naver Shopping's trade, transportation, business support service, information and communication, broadcasting, restaurants and lodging were ranked. Third, in terms of job inducement and employment inducement due to Naver Shopping's low commission and powerful search function, restaurants and hospitality, f/b and cigarette manufacturing, construction, and transportation equipment manufacturing were ranked. Conclusions - The number of job inducement resulting from low commission and powerful search engine of Naver shopping in 2018 was 8,667 (3.7% of 244,225, which was caused by transaction in Naver shopping in 2018), and employment inducement was 5,655 (3.7% of 158,598, which was caused by transaction in Naver shopping in 2018), which can be considered as additional employment impacts of Naver Shopping compared to the other online shopping operators.

keywords
Naver Shopping, Inter-Industry Analysis, Employment Effects

Reference

1.

Bank of Korea (2011). Input-Output Analysis. Seoul, Korea:Bank of Korea.

2.

Song, C. H. (2018, January 19). Naver Shopping caught up with the 11th Street, Eye of the Typhoon in Online Distribution. Dong-A Ilbo, Retrieved from http://news.donga.com

3.

Cheon, H. S., & Han, K. S. (2003), The Effect of the Food Service Industry up on the National Economy of Korea. Korean Journal of Community Nutrition, 8(5), 763-769.

4.

Min, J. Y. (2018, October 15). Naver Shopping... Online Shopping Mall Industry ‘Red Light’. Han-Kook Ilbo, Retrieved from http://www.hankookilbo.com

5.

Hong, D. P., & Jeong, S. Y. (1998). Analysis of Economic Contribution of Information and Communication Industry using Input-output Analysis. Information and Communication Policy ISSUE, 10(12), 1-53.

6.

Hong, D. P., & Park, S. J. (1997). Analysis of Information and Communication Industry using Input-output Analysis. Information and Communication Policy ISSUE, 9(10), 1-47.

7.

Hwang, H. J., & Lee, S. M. (2011). A study on transferring the effects of brand reputation and level of service satisfaction of an offline channel company when it is expanding to an online distribution channel. The Journal of Distribution Science, 9(2), 31-36.

8.

Im, M. J. (2017, July 17). Google·Facebook to Tencent ... IT dinosaurs, online distribution promotion. Jung-Ang Ilbo, Retrieved from http://news.joins.com

9.

Jang, W. Y. (2017). [Naver] Investment and performance, two rabbits. Shin Young Securities Research Center, Retrieved from http://r.shinyoung.com.

10.

Kim, B. C. (2003). A Study on the Structural Characteristics of Korean Advertising Industry. Journal of Communication Science, 3(2), 77-118.

11.

Kim, H. K., & Cho, H. J. (2013). The Effects of Consumption Value of Smartphone Users on Relational Factors and Repurchase Intention. The Journal of Distribution Science, 11(4), 73-80.

12.

Kim, S. H., & Yoo, E. D. (2006). Economic Impact Analysis of the Professional Soccer Industry in Korea-Estimating Expenditures Spent by Spectators and Teams. Korean Journal of Sport Management, 11(1), 237-250.

13.

Korea Chamber of Commerce and Industry (2018), Statistics for Distribution Logistics. Seoul, Korea: Korea Chamber of Commerce and Industry.

14.

Kwak, S. J., Yoo, S. H., & Jeong I. C. (2003). Role of the Marine Sector in the Korean National Economy Using Input-Output Analysis. Ocean Policy Research, 17(1), 1-31.

15.

Kwak, S. J., Yoo, S. H., & Yoo, T. H. (2002). The Economic Effects of Nuclear Power Generation: An Input-Output Analysis. The Korean Economic Review, 50(3), 83-109.

16.

Lee, K. W., & Choi, S. M. (2003). An Economic Impact Analysis of Regional Tourism Industry: The Case of Gangwon and Jeju Regions. Seoul, Korea: Korea Culture & Tourism Policy Institute.

17.

Lim, H. J., & Yoo J. A. (2018). The Effect of Online Shopping Growth on Courier Industry. Chung-cheong bukdo, Korea: Information and Communication Policy Institute.

18.

Park, C. H., & Jeong, Y. K. (2011). An Analysis for the Economic Effects of Airfreight Logistics Industry By Using the I/O Table Analysis- the Korean Case-. Korea Industrial Economics Association, 24(3), 1885-1908.

19.

Park, J. M., & Chon, J. Y. (2008). Employment Effects of the Korean ICT Sectors: An Input-Output Analysis of the Interindustrial Linkage Structures. Korean Telecommunications Policy Review, 15(1), 1-27.

20.

Park, M. O. (2002). Analysis of the Economic Effect on Environmental Industry using Input-output Analysis. (Master’s dissertation, Seoul National University).

21.

Statistics Korea (2017). 「Industry Input Table」 Periodic Statistical Quality Diagnosis Report for 2017. Daejeon, Korea: Statistics Korea.

22.

Yoon, M. G., & Seol, S. S. (1999). A study on Logistics and Home delivery service for Electronic Commerce in Korea. The Journal of Distribution Science, 1(1), 25-38.

The Journal of Industrial Distribution & Business