Choi Seok Kyu

Dr. Choi Seok Kyu


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 March 2021 in Sustainability
Verified
Journal Article
Open access
PDF file
JCJungseok Choi
Jungseok Choi
KWKim woohyoung
Kim woohyoung
CKChoi Seok Kyu
Choi Seok Kyu
This study contributes by analyzing the economic effects of China’s distribution industry based on China’s 2012 and 2017 input-output data. It analyzes changes in the forward and backward linkage effect over a five-year period in accordance with the Chinese government’s distribution industry policy. The coefficients of the effects of the Chinese distribution industry, using Input-Output Tables and a comparative analysis of the sensitivity of dispersion, were determined. In terms of the coefficient of influence, most of the sectors that ranked high in 2012 are related to manufacturing, except for lodging and catering. The sensitivity and influence coefficients indicate that the top-ranked sectors in 2012 were more affected by the raw materials and energy essential for manufacturing development than by the services sector.

30 March 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
JCJungseok Choi
Jungseok Choi
KWKim woohyoung
Kim woohyoung
CKChoi Seok Kyu
Choi Seok Kyu
The purpose of this study is to analyze the economic ripple effects caused by the supply-side reforms on China’s steel industry. To this end, using the 2012 and the 2017 China Input–Output Tables, this study analyzes the economic ripple effect of the Chinese steel industry caused by its supply-side reform. In this study, the influence coefficients (rear-linked effect) and the sensitivity coefficients (forward-linked effect), conceptualized by Leontief, are used as research tools to analyze the ripple effects of the Chinese steel industry. The analysis results are as follows. First, the fact that 2012 ranked high in professional equipment and meter manufacturing shows that the Chinese government’s supply-side reforms are effective and creating the required shift from traditional manufacturing to qualitative growth. Second, in terms of the sensitivity coefficient, in 2012, most of the top industries contributed significantly to the development of the Chinese economy. The originality of this study is as follows. The input production analysis used in this paper is a methodology mainly used in the steel, coal, automobile, and petrochemical industries, which clearly distinguishes the front and rear industries. Additionally, this study is a novel attempt at comparative research on the Chinese steel industry between 2012 and 2017.