• 서비스연구
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• 제6권1호
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• pp.83-95
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• 2016

본 논문은 한국은행 경제통계시스템에서 제공한 서비스업생산지수와 서비스업도소매지수를 가지고 상호간의 연관성을 분석하였다. 분석을 위한 통계분석 기간은 2000년 1월부터 2015년 9월까지 15년 9개월간의 월별자료 189개를 사용하였고, 분석도구로는 E-Views 6을 이용하여 VAR 모형을 통한 그랜저 인과관계분석(Granger Causality test)과 충격반응분석(Impulse Response Function) 및 분산분해(Variance Decomposition)를 실시하였다. 주요 분석결과는 다음과 같다. 첫째, 그랜저 인과관계 분석결과(Granger Causality test) 상승률과 변동성에 있어서 서비스업생산지수와 서비스업도소매지수 상호간에 예측력이 있음을 알 수 있었다. 둘째, 충격반응함수(Impulse Response Function)분석결과 서비스업생산지수와 서비스업도도소매지수에 사이에 충격이 존재하여 일정시차까지 영향을 미치다가 사라짐을 알 수 있었다. 이는 다른 산업뿐만 아니라 서비스업산업에 있어서도 생산량은 어느 정도 도소매업체의 판매량을 예측할 수 있다는 것으로 해석할 수 있다. 마지막으로 분산분해(Variance Decomposition) 분석결과 서비스업도소매지수는 일정시차동안 73.65%~65.59%의 서비스업생산지수에 의하여 영향을 받는 것으로 나타났다. 하지만 서비스업생산지수는 일정시차동안 0.97%~1.92%의 서비스업도소매지수에 영향을 받는 것으로 나타나 영향력이 미미함을 알 수 있었다. 본 연구는 다양한 지수를 대상으로한 상호간의 가격발견을 통한 상호연관성을 분석한 기존의 연구방법을 확장하여 서비스업생산지수와 서비스업도소매지수와의 가격발견 기능을 파악하는데 기여하였다고 사료된다. 이와 같은 연구결과는 물가지수를 관리하고 있는 정부에게 물가정책을 수립하는데 의미를 부여하고, 각종 지수를 관리하고 있는 한국은행 및 통계청에게 의미 있는 시사점을 제공할 것으로 판단된다. 본 연구에 대한 한계점으로는 물가지수를 이용한 선행연구가 많지 않아서 좀 더 체계적인 분석이 부족하다는 점과 구조변화 시점을 구분하여 분석하지 못했다는 점이다. 따라서 다양한 물가지수를 활용한 후속연구와 구조변화를 전후를 대상으로 한 추가연구가 필요하다고 사료된다.

• 토지주택연구
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• 제11권3호
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• pp.33-37
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• 2020

The aim of this paper is to scrutinize the relation between Business Survey Index and Industrial Production Index in construction industry, stated in another way, the relation between CEO's expectations of future business status and real business activity in construction industry. Previous papers on this research area have been examined the relation between released BSI and released IPI. However, this paper focuses 'the relation between released BSI and the long-run component of IPI' and 'the relation between released BSI and the short-run component of IPI'. The first step is to decompose released IPI by unobserved component model. The long-run component of IPI is set up as a random walk process. And short-run component is set up as a stationary AR(1) process. The findings are as follows. First, released BSI Granger causes unidirectionally released IPI. Second, there exists one-way Granger causality from released BSI to long-run component of IPI. Third, Granger causality does not exist between released BSI and 'short-run component of IPI'. BSI increases IPI in the second or third month. These findings of this paper mean that CEO's expectations may influence industrial production in construction industry.

• 융합경영연구
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• 제9권3호
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• pp.11-21
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• 2021

Purpose: The purpose of this study is to understand the status quo of production efficiency in private industrial enterprises above designated scale in China's 31 provinces (including municipalities directly under the central government, autonomous regions) (hereinafter referred to as China's 31 provinces). Research design, data and methodology: Find out the factors affecting the development of production efficiency in private industrial enterprises, using DEA, Data Envelopment Analysis and Malmquist index analysis, build the evaluation model of production efficiency in private industrial enterprises, and analyze the data of China's 31 provinces private industrial enterprises in 2015-2019. Results: The research results show that the production efficiency of private industrial enterprises in China is improving on the whole. Although the total factor productivity has decreased slightly, the overall efficiency and pure technical efficiency have increased significantly. Conclusions: The conclusion of this study can provide reference for Chinese private industrial enterprises to improve production efficiency and make development plan. The limitation of this paper lies in the fact that the private industrial enterprises in inefficient provinces have not been given specific improvement plans.

• 유통과학연구
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• 제15권3호
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• pp.17-25
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• 2017

Purpose - The study is to examine the impact of the US Purchasing Managers' Index (PMI) on Korea and the US industrial economy including the distribution industry. We analyze its effect on the industrial economy centered on the distribution industry using economy indices in Korea and the US. Research design, data, and methodology - The variables are used to analyze the dynamic relationship which occurs among the US PMI, the industrial production index, producer price index, unemployment rate, and manufacturing Inventories Index in Korea and the US from January 1990 to July 2016 using Vector Error Correction Model. Results - As a main result, the impact of the US PMI on all the economy indices both Korea and the US has the same cyclical movement. The US PMI is positively related to the producer price and the industrial production index of Korea and the US, while it is negatively related to unemployment rate, and the manufacturing inventories index in Korea and the US. Conclusions - The US PMI as an advanced index has a power to predict the economies on Korea and the US. In the end, we find that the US PMI has a great impact on Korea and the US industrial economy.

• 한국경영과학회지
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• 제41권3호
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• pp.59-74
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• 2016

Electricity sales are directly measured from individual consumers, which could minimize the time gap between data collection and public announcement. Furthermore, industrial electricity sales are highly linked with production and output. Therefore, industrial electricity consumption can be used to track production and output in real time. By using the high-frequency data of industrial electricity sales, this study develops the daily electricity business index (DEBI) to capture the daily economic status. The steps used to formulate DEBI are as follows: (1)selection of the explanatory variables and period, (2) amendment of the seasonal adjustment to eliminate daily temperature and effective day effects, (3) estimation of the weighted value via variables by using PCA, (4) calculation of DEBI and commencement of validation tests. Our empirical analysis and the Hodrick-Prescott filter analysis show that DEBI is highly related to existing economic indices.

• The Journal of Asian Finance, Economics and Business
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• 제4권4호
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• pp.61-66
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• 2017

Environmental awareness and its relation to the development of economy has garnered increased attention in recent years. Researchers, over the years, have argued that sustainable development warrants for minimizing environmental degradation since one depends on the other. This study analyzes the relationship between environmental degradation (carbon emission taken as proxy for degradation), economic growth, total energy consumption and industrial production index growth in Bangladesh from year 1998 to 2013. This study uses Vector Autoregression (VAR) Model and variance decomposition of VAR to analyze the effect of these variables on carbon emission and vice-versa. The findings of VAR model suggest that industrial production and GDP per capita has significant relationship with carbon emission. Further analysis through variance decomposition shows carbon emission has consistent impact on industrial production over time, whereas, industrial production has high impact on emission in the short run which fades in the long run which is consistent with Environmental Kuznets Curve (EKC) hypothesis. Carbon emission rising along with GDP per capita and at the same time having low impact in the long run on industrial index indicates there may be other sources of pollution introduced with the rise in income of the economy over time.

• 품질경영학회지
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• 제50권3호
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• pp.473-490
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• 2022

Purpose: The purpose of this study is to propose a new useful suggestion to monitor the stability of process by developing a stability ratio or index related to investigating how well the process is controlled or operated to the specified target. Methods: The proposed method to monitor the stability of process is building up a new measure index which is making up for the weakness of the existing index in terms of short or long term period of production. This new index is a combined one considering both stability and capability of process to the specification limits. We suppose that both process mean and process variation(or deviation) are changing on time period. Results: The results of this study are as follows: regarding the stability of process as well as capability of process, it was shown that two indices, called SI(stability index) and PI(performance index), can be expressed in two-dimensional X-Y graph simultaneously. This graph is categorized as 4 separated partitions, which are characterized by its numerical value intervals of SI and PI which are evaluated by test statistics. Conclusion: The new revised index is more robust than the existing one in investigating the stability of process in terms of short and long period of production, even in case both process mean and variation are changing.

• 대한안전경영과학회지
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• 제11권2호
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• pp.117-126
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• 2009

We develop methods for propagating and analyzing EPCI(Extended Process Capability Index) by using the error type that classifies into accuracy and precision. EPCI developed in this study can be applied to the three combined processes that consist of production, measurement and calibration. Little calibration work discusses while a great deal has been studied about SPC(Statistical Process Contol) and MSA(Measurement System Analysis). EPCI can be decomposed into three indexes such as PPCI(Production Process Capability Index), PPPI(Production Process Performance Index), MPCI(Measurement PCD, and CPCI(Calibration PCI). These indexs based on the type of error classification can be used with various statistical techniques and principles such as SPC control charts, ANOVA(Analysis of Variance), MSA Gage R&R, Additivity-of-Variance, and RSSM(Root Sum of Square Method). As the method proposed is simple, any engineer in charge of SPC. MSA and calibration can use efficientily in industries. Numerical examples are presentsed. We recommed that the indexes can be used in conjunction with evaluation criteria.

• 아태비즈니스연구
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• 제11권2호
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• pp.159-172
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• 2020

Purpose - The purpose of this study is to investigate economic variables which have impact on the prices and returns of preferred stocks and to provide investors, underwriters, and policy makers with information regarding correlations and causal relations between them. Design/methodology/approach - This study collected 98 monthly data from Korea Exchange and Bank of Korea. The Granger causal relation analysis, unit-root test and the multiple regression analysis were hired in order to analyze the data. Findings - First, our study derives the economic variables affecting the prices and returns of preferred stocks and their implications, while previous studies focused mainly on the differential characteristics and related economic factors between common and preferred stocks. Empirical results show that the significant variables influencing the prices and returns of preffered stocks are consumer sentiment index, consumer price index, industrial production index, KOSPI volatility index, and exchange rate between Korean won and US dollar. Second, consumer sentiment index, consumer price index, and industrial production index have significant casual relations with the returns of preferred stocks, providing market participants with important information regarding investment in preferred stocks. Research implications or Originality - This study is different from previous studies in that preferred stocks themselves are investigated rather than the gap between common stocks and preferred stocks. In addition, we derive the major macro variables affecting the prices and returns of preferred stocks and find some useful causal relations between the macro variables and returns of preferred stocks. These findings give important implications to market participants, including stock investors, underwriters, and policy makers.

• 한국산학기술학회논문지
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• 제9권2호
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• pp.550-555
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• 2008

세포벽 분해 효소와 단백질 분해 효소를 이용하여 스피루리나 추출물을 효율적으로 생산할 수 있는 방법을 조사하였다. 특히 단백질 분해 효소의 처리 조건을 최적화하여 효율적인 스피루리나 추출물의 제조공정을 제시하였다. 세포벽 분해 효소인 Tunicase는 스피루리나의 중량 기준으로 2%를 사용하였고 2시간 동안 반응시켰다. 상업용 단백질 분해 효소로는 Alcalase를 사용하였다. 이때, Alcalase의 최적 사용량은 1%이었으며, 효소 반응 시간은 2시간이 적절하였다. Tunicase와 Alcalase의 처리 방법에서 Tunicase를 먼저 사용한 후 Alcalase를 사용하는 순차적으로 처리하는 것이 고형분 회수율과 spirulina extraction (SE) index를 최대로 증가시킬 수 있는 효과적인 방법이었다. 두 효소를 순차적으로 반응시키면 단순 열수 추출보다 고형분 회수율은 약 56%($45.2%\;{\rightarrow}\;70.7%$), SE index는 약 100%($11.4%\;{\rightarrow}\;22.8%$) 증가하였다.