• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.167-176
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• 2022

By analyzing the impact of oil prices on economic growth, this study has shown a new insight into the link between oil price inflation and economic growth. The primary goal of this study is to determine if oil prices are pro-growth or anti-growth. To provide empirical proof, the series data for both the core and control variables from 1972 to 2020 was used to justify the association on empirical grounds. To account for the presence of a unit root, the Augmented Dickey-Fuller Test was used, and after making the series compatible for co-integration, the Autoregressive distributed lag model was used to determine the empirical estimate. Additionally, the empirical models were used to diagnose heteroscedasticity and autocorrelation. The reference point model reveals that in developing nations like Pakistan, economic growth is anti-growth with an increase in prices, and it responds negatively to economic growth in the long and short run. As a result, oil price inflation in Pakistan fails to have a significant beneficial impact on economic growth in both the long and short run, but it does raise the general price level in the economy.

• The Journal of Economics, Marketing and Management
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• v.6 no.3
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• pp.14-25
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• 2018

Purpose - Taxes cover all aspects of society, especially in terms of resource allocation and economic growth. In reality, the tax revenue is often used to measure the quality of a country's economy. The relationship between tax revenue and economic growth has been paid much attention by academic circles. Due to this background, this paper attempts to investigate the mutual effect between tax revenue and economic growth. Research design, data, and Methodology - The annual datum form 1980 to 2017 are employed to conduct an empirical analysis under the vector error correction model. In this paper, the GDP is treated as an independent variable. The tax revenue is treated as a dependent variable. Furthermore, a menu of statistic approaches will be used to testify the mutual effect between tax revenue and economic growth. Results - Via the co-integration test, the results report that the tax revenue has a positive effect on economic growth in the long run. Through the vector error correction estimation, the results also report that the tax revenue also has a positive effect on economic growth in the short run. Conclusions - This paper provides a view that the tax revenue is a kind of a determinant to promote economic growth. Therefore, the China's government should pay much attention to the improvement of tax revenue system so as to maintain a high-speed economic growth.

• Asian-Australasian Journal of Animal Sciences
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• v.1 no.3
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• pp.167-171
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• 1988

A comparative growth trial involving 12 Beetal and 12 Barbari kids was conducted for 120 days. The kids were allowed to suckle their dams and also offered ad libitum green fodder and concentrate at 2% of their liveweight. Beetal kids attained higher (P<.01) weight, consumed more (P<.01) milk, green fodder and concentrate, and utilized protein efficiently as compared to Barbari kids. However, variation due to sex was non-significant. Blood glucose, protein and cholesterol levels increased (P<.01) with increasing age irrespective of sex and breed.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.53 no.5
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• pp.790-793
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• 2020

Length-weight relationships (LWR) for 27 fish species inhabit Southern sea in Korea were investigated to describe several biological characters. Total 7,399 individuals were collected by R/V Tamgu-20 using bottom trawl between 2018 to 2019 and were identified as 19 families and 27 species. Parameter b ranged from 2.414 to 3.472. Thirteen species among 27 species showed isometric growth (b=3), six species showed negative allometry (b<3) and eight species showed positive allometry (b>3). The results of this study provide useful basic biological information about 27 fishes and are highly reliable due to use of data measured directly.

• Knowledge Management Research
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• v.21 no.2
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• pp.41-58
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• 2020

A plan to promote public technology-based start-ups as a way to enhance the use of public technology has been emphasized. However, the problem of creating commercial value has persisted due to the lack of reproducibility and readiness of public technology. Although gap exists in the linking process between the public and private sector, it is difficult to find objective empirical evidence as most of them are only qualitative research. Our empirical works examine the impact of subsequent support of the public research institute on the commercialization of public technologies. Then, we analyze how commercialization of public technologies affects the growth of technology-based startups using 2-stage least square (2SLS) model. We find that the linkage with the technology subject contribute to the successful commercialization of public technology, and further to the survival and growth of technology-based start-ups. Our finding suggests that knowledge management system, to facilitate interaction between technology developer and consumers, is needed for the success of public technology-based start-ups.

• Korean System Dynamics Review
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• v.11 no.4
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• pp.77-96
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• 2010

Since the mid-1990s, Korea has recorded low population growth rate. Based on the figures provided by the Statistical Korea, Korea may be even confronted with decreasing trends in the total population at the end of 2010s. In addition, Korea may experience the hyper-aged society in the mid-2020s. In the depopulation era, we have to devise alternative urban management policies reflecting low and reversed trends in the urban population. It is almost certain that urban policy-makers have to deal with a new series of urban problems, even jeopardizing the continuity of urban territories. In order to minimize the negative impact derived from depopulated phenomena, they have to develop sound and sustainable urban policy alternatives. This research adopts system dynamics approaches, revealing key factors exerting significant impact on the existing urban management policies. In specific, it pays attention to major causal loops, reinforcing or balancing behavioral.

• Advances in environmental research
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• v.9 no.4
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• pp.295-312
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• 2020

The earlier literature widely documented the role of natural resources in economic development and confined their findings either in support of resource blessing growth or resource curse hypothesis. The ample research on the stated theme has available in the relevant databases, supported with empirical data, while a few studies used a case study or mixed-method approach. The study identified plenty of room on a given topic by conducting a systematic literature review and synthesizing the literature in more meaningful inferences. After a thorough investigation of the literature review through systematic intervention, the study concludes that natural resource management is imperative for a country's sustained growth. Simultaneously, it is desirable to reduce resource conflicts, improve institutional performance, decrease corruption, and stabilize the political environment to get maximum natural resource management potential globally.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.4-5
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• 2015

Owning to rapid infrastructure development, Asia is experiencing dramatic economic growth. There are not a few cases in which, however, economic growth is achieved by increasing the external diseconomy. Pursuit of sustainable development is one of the most important issues for mankind. Under the post-industrial capitalism society, however, there seems a big risk of increase in the external diseconomy worldwide. The objectives of this manuscript are to discuss importance of risk management of construction practice in present and future. Regarding the latter, a particular attempt is made to discuss how project risk communication should be done to reduce the external diseconomy. Presently, one of the important issues in implementation of infrastructure projects is practice of risk management to properly manage time, cost, quality, and safety: mainly maximization of internal economy. Multi-party risk and uncertainty management process (MRUMP) is one of tolls to assist it. The idea on MRUMP can be used to reduce the external diseconomy through identifying, sharing, and tuning people's rhythms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.291-299
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• 2015

This study analyze empirically how the characteristics of a venture business' founder and company development stage will affect on B2B transactions and business management difficulties based on "2012 Survey of Korea Venture Firms". According to this study, there are different frequencies of difficulties in B2B transactions depending on the founder's age and educational background as well as different recognitions about business management difficulties with considering the founder's age, educational background, major and other factors. It is analyzed that in educational background factor, master's degree and in major factor, humanities and social science show comparatively frequent business management difficulties. On the other hand, it is analyzed that there is not meaningful difference in the recognition about the difficulty-frequency in B2B transactions in each company growth stage. It is considered that the difficulties occur frequently in every company growth stage but, these types of difficulties are solved routinely. At the Exit phase, however, there is high recognition about business management difficulties as the transaction with the companies in this stage is avoided.

• Journal of Korean Society for Quality Management
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• v.23 no.2
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• pp.53-67
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• 1995

The problem considered here is to find the optimal discriminant analysis method in growth curve model. It has been studied how to find correct prior probability for the effective classification in discriminant analysis. We use the balanced condition to calculate prior probability. From the informative simulation study, new classification rule for the growth curve model is suggested. The suggested classification rule has better classification result than the other previously suggested method in terms of error rate criterion.