• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.433-446
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• 2021

This study aims to identify the elasticities and casualties of financial performance and determinants of the mining and extractive companies listed in Jordan's stock market over the 2005-2018 period. The conceptual framework is based on the Resource-Based View theory and Arbitrage Pricing theory is used to describe the relationship between the external environment and the financial performance of the companies. Profitability ratio (return on assets) is utilized as a proxy of financial performance measurement. Meantime, the company's characteristics, macroeconomic variables, and non-economic factors are utilized as independent factors. Data sources are panel data set for mining and extractive companies over the above period. Fully Modified Ordinary Least Square (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Pooled Mean Group (PMG) methods are applied. The empirical findings indicated that company size, sales growth, financial leverage, liquidity, and GDP growth were the critical determinants of mining and extractive companies' financial performance in the Amman Stock Exchange. Thus, the findings conclude that company characteristics and GDP growth mainly drive financial performance. Moreover, the findings reveal that a bidirectional causal elasticity exists between GDP and financial leverage and return on assets (ROA). Sound financial performance can be obtained by paying more attention to GDP growth and firms' characteristics.

• 자원ㆍ환경경제연구
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• 제29권2호
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• pp.195-217
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• 2020

지속가능한 발전을 달성하기 위한 방안으로 에너지 집약도 개선이 주목받고 있다. 에너지 가격과 기술 수준은 에너지 집약도에 영향을 미치는 주요한 요인으로 세 변수의 연관성에 관한 실증연구는 해외를 중심으로 진행되어왔다. 그러나 우리나라를 대상으로 한 연구는 드물다. 이에 본 연구에서는 우리나라를 대상으로 에너지 집약도, 에너지 가격, 총요소생산성 간 동태적 관계를 분석하였다. 분석 결과 세 변수는 장기균형관계를 형성하며, 총요소생산성의 증가는 장·단기에서 모두 에너지 집약도를 감소시키는 것으로 나타났다. 총요소생산성의 증가가 에너지 집약도 개선에 미치는 효과는 단기보다 장기에 더 큰 것으로 나타났다. 반면 에너지 가격은 에너지 집약도에 유의미한 영향을 미치지 못하였다. Granger 인과성 검정 결과, 에너지 집약도와 총요소생산성은 상호 Granger 인과하지만, 에너지 가격은 약외생적인 것으로 나타났다. 우리나라의 에너지 집약도 개선을 위해서는 전반적인 기술 수준의 개선이 필요하며, 단기적인 처방보다 장기적인 관점에서 정책적 방안을 마련하는 게 바람직하다는 것을 확인할 수 있었다.

• 한국시스템다이내믹스연구
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• 제8권1호
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• pp.211-227
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• 2007

Like the saying "You can't manage what you can't measure," performance measurement is considered as one of the most important management activities for the organizations in either private or public sector. Performance measurement, however, has thus far relied too much on financial statements. Realizing the importance of a more scientific and comprehensive performance measurement, many organizations have adopted several different systems in order to objectively estimate their balanced performance results. The Balanced Scorecard (BSC) has become a popular means to measure performance. But the BSC has also received some criticisms. In this paper four limitations in the use of the BSC are discussed : BSCs focus on unidirectional causality, are unable to distinguish delays between actions and their impacts on performance, integrate insufficiently strategy with operational measures, and lead to internal biases. We propose a system dynamics approach with causal loop diagram(CLD) to develop a Dynamic BSC in order to overcome these limitations. The results suggest that developing a BSC with system dynamics is a promising approach to supplement existing BSC frameworks.

• 한국경영과학회지
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• 제33권2호
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• pp.27-44
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• 2008

Owl-based ontology is useful to realize the context-aware services which are composed of the distributed and self-configuring modules. Many ontology-based inference engines are developed to infer useful information from ontology. Since these engines show the uniqueness in terms of speed and information richness, it's difficult to ensure stable operation in providing dynamic context-aware services, especially when they should deal with the complex and big-size ontology. To provide a best inference service, the purpose of this paper is to propose a novel methodology of context-aware engine selection in a contextually prompt manner Case-based reasoning is applied to identify the causality between context and inference engined to be selected. Finally, a series of experiments is performed with a novel evaluation methodology to what extent the methodology works better than competitive methods on an actual context-aware service.

• Earthquakes and Structures
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• 제4권2호
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• pp.181-202
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• 2013

It is well known that the properties of the soil deposits, especially the damping, depend on both frequency and strain amplitude. Therefore it is important to consider both dependencies to calculate the soil response against earthquakes in order to estimate input motions to buildings. However, it has been difficult to calculate the seismic response of the soil considering both dependencies directly. The author has studied the time domain evaluation of the frequency dependent dynamic stiffness, and proposed a simple hysteretic damping model that satisfies the causality condition. In this paper, this model was applied to nonlinear analyses considering the effects of the strain amplitude dependency of the soil. The basic characteristics of the proposed method were studied using a two layered soil model. The response behavior was compared with the conventional model e.g. the Ramberg-Osgood model and the SHAKE model. The characteristics of the proposed model were studied with regard to the effects of element divisions and the frequency dependency that is a key feature of the model. The efficiency of the model was confirmed by these studies.

• 지식경영연구
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• 제10권2호
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• pp.35-48
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• 2009

The paper proposes a quantitative causal ordering map (QCOM) to combine qualitative and quantitative methods in a framework. The procedures for developing QCOM consist of three phases. The first phase is to collect partially known causal dependencies from experts and to convert them into relations and causal nodes of a model graph. The second phase is to find the global causal structure by tracing causality among relation and causal nodes and to represent it in causal ordering graph with signed coefficient. Causal ordering graph is converted into QCOM by assigning regression coefficient estimated from path analysis in the third phase. Experiments with the prediction model of Korea stock price show results as following; First, the QCOM can support the design of qualitative and quantitative model by finding the global causal structure from partially known causal dependencies. Second, the QCOM can be used as an integration tool of qualitative and quantitative model to offerhigher explanatory capability and quantitative measurability. The QCOM with static and dynamic analysis is applied to investigate the changes in factors involved in the model at present as well discrete times in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권1호
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• pp.466-482
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• 2015

IT is the key enabler of digital economy. Appropriate usage of IT can provide a strategic competitive advantage to a firm in a dynamic competitive environment. However, there has been a continuing debate on whether IT can actually enhance the productivity of firms. This concept is called IT productivity paradox. In this study, we analyzed the causality among appropriate indicators to demonstrate the real impact of IT on productivity. The 12,100 sample data from 2011 were used for analysis. As expected, the results indicated that mobile device usage, website adoption, e-commerce, open source, cloud computing, and green computing positively influence IT productivity. This unprecedented large-scale analysis can provide clarification regarding the ambiguous causal mechanism between IT usage and productivity.

• East Asian Economic Review
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• 제20권3호
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• pp.339-363
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• 2016

This paper analyzes why the global financial crisis in 2008 severely affected Asia's trade. Asia has been suffering from the falls in export demand from developed countries. However the abrupt trade declines in Asia are not fully explained by reactions to this as in previous experiences. The question is why the financial crisis in 2008 brought about the abrupt and deep collapse in world trade, while other world-wide recessions had more moderate effects on world trade. This paper shows that the dynamic relationship between trade and trade finance is one important factor in explaining this question. This paper also applies the Granger (causality) test to uncover different relationships in the developed and developing economies and show different results for different countries in Asia. We employ a Markov-Switching FAVAR (Factor Augmented VAR) to show that global liquidity shocks are important factors in explaining the huge and abrupt trade drops in Asia.

• Asian Journal of Innovation and Policy
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• 제2권2호
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• pp.123-149
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• 2013

In the past three decades since the advent of market oriented reforms began in 1978, China has made rapid strides in catalyzing economic growth. The economic development coincides with the development of significant capabilities in several areas of science, technology, and innovation. China has recorded notable achievements in a number of emerging fields. This paper investigates the process that has catalyzed the developments in Science and Technology (S&T) and the key factors that have facilitated this process. The causality of dynamism of S&T in China points at targeted development, an emphasis on high growth industries and high technology, commensurate resource mobilization, ruthless restructuring of innovation actors, dynamic organization and management of R&D, continuously evolving policies with strict enforcement, and implementable instruments. This paper attempts to bring out the roadmap of the Chinese transformation process in S&T and derive policy lessons for India.

• 통상정보연구
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• 제9권3호
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• pp.23-32
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• 2007

The purpose of this study is to estimate and analyse the relationship between efficiency of bank industry and macroeconomic variables. We employ Johansen's multivariate cointegration methodology, since the model must be stationary to avoid the spurious results. The empirical results show that our model is stationary as well as mean-reverting. This paper also applies impulse-response functions to get additional information regarding the responses of the bank spread to the shocks economic variables such as long and short term interest rates differential, banking organ liquidity, business cycle index, and foreigner's net equity investment. The results indicate that while the bank spread respond positively to liquidity and equity investment shocks and then decay very quickly.