[논문]우리나라 도소매기업의 운영효율성에 대한 실증분석: 코로나19 기간(2020년 1~2분기)을 중심으로

김길환

doi:10.9723/jksiis.2020.25.6.095

우리나라 도소매기업의 운영효율성에 대한 실증분석: 코로나19 기간(2020년 1~2분기)을 중심으로
Analyzing the Operational Efficiency of South Korea Wholesalers and Retailers during COVID-19 period (Q1 to Q2 2020) 원문보기

한국산업정보학회논문지 = Journal of the Korea Industrial Information Systems Research, v.25 no.6, 2020년, pp.95 - 107

초록
AI-Helper

본 연구의 목적은 코로나19가 국내에 유입되고 확산되는 기간 동안 국내 도소매기업의 성과를 분석하는 것이다. 기업성과에 대한 변수로는 운영효율성 (Operational efficiency)을 선택하였으며, 확률변경분석 (Stochastic frontier analysis)을 통해 운영효율성을 추정하였다. 이후 운영효율성에 미치는 코로나19 기간 (2020년1~2분기)의 효과를 살펴보기 위해 해당 기간의 분기별 고정효과 (Quarterly fixed effect)를 회귀분석을 통해 검토하였다. 본 연구의 주요 결과는 다음과 같다. 첫째, 분석 기간 (2019년 1분기~2020년 2분기) 동안 운영효율성의 평균적 수준은 대략 0.7138이었다. 둘째, 운영효율성에 대한 코로나 19 기간 (2020년 1분기~2분기)의 고정효과는 유의미하지 않았다. 셋째, 운영효율성과 기업규모 사이의 정의 결과를 확인하였다. 한편 본 연구는 운영효율성이라는 기업차원의 성과변수와 코로나19 기간이라는 거시경제적 변수의 관련성을 검토하였다는 점에서 의미가 있다고 볼 수 있다.

Abstract ▼ AI-Helper

We analyze the performance of South Korea wholesalers and retailers during the period when COVID-19 emerged and began to spread in South Korea. Specifically, we choose operational efficiency as a proxy variable for reflecting corporate performance and apply stochastic frontier analysis for estimating operational efficiency. Importantly, in order to examine the impact of the COVID-19 period (Q1 to Q2 2020) on operational efficiency, we consider the quarterly fixed effect corresponding to the COVID-19 period. Our findings include: (ⅰ) the average level of operational ffficiency is approximately 0.7138 during the analysis period (Q1 2019 to Q2 2020); (ⅱ) the fixed effect of the COVID-19 period on operational efficiency is not significant; and (ⅲ) operational efficiency is positively correlated with the scale of the company. Moreover, from an academic perspective, we make a contribution by examining the relationship between the operational efficiency as a firm-level variable and the COVID-19 period as a macroeconomic variable.

주제어

표/그림 (8)

표 Table 1 Sub-industry and Number of Firms
표 Table 2 Summary Statistics of the Variable
표 Table 3 Coefficients' Estimates for Model 1
표 Table 4 Test of Significance of Firm-specific Effect(f_i) in Model 1 (Wald-test result)
표 Table 5 Result of Operational Efficiency(OE_it)
표 Table 6 Results of Quarterly OE_it
표 Table 7 Coefficients' Estimates for Model 2
표 Table 8 Test of Significance of Firm-specific Effect (f_i) in Model 2 (F-test result)

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