• Journal of the Korean Regional Science Association
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• v.15 no.1
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• pp.23-43
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• 1999

The strategy of regional industrial specialization is empirically evaluated by examining the relationship between regional industrial structures and economic performances. The regional industrial structure is measured by three industrial diversity indices such as ogive approach, entropy maximizing approach, and economic growth and employment instability in 12 regions is analyzed. According to the time series analysis, we found that the region with more diversified industrial structure experiences more stable in employment. Otherwise, the growth rate of the region with more simplified industrial structure is higher. Therefore, the strategy of industrial specialization is implemented in order to pursuit a rapid economic growth in the short run.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.249-257
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• 2021

Industrial agglomeration policy is a strategy that is expected to accelerate economic growth to transform an impoverished region into a prosperous one. However, industrial agglomeration also has the potential to exacerbate development inequality due to the concentration of economic development activities in certain areas. Therefore, this study aims to investigate what strategies are best to minimize the adverse effects of industrial agglomeration. This study uses econometric analysis with panel data covering 38 districts/cities in East Java during the 2011-2019 period. The results showed that the combination of industrial agglomeration policies coupled with accelerated sectoral growth, hard infrastructure development, and soft infrastructure provided the best policy outcome, improving regional inequality and accelerating economic growth in East Java. Based on the analysis, we find that East Java's economic growth characteristics are convergent but relatively long. Therefore, the East Java economic development policy during 2010-2019 should be reviewed due to the relatively long convergence period. Furthermore, this study also found that industrial agglomeration slows down the convergence and economic growth of East Java. In the future, the deployment of Industrial Development Centers (PPI) outside the existing eight districts/cities is needed to accelerate the spread of economic activity in East Java.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.4
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• pp.184-191
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• 2009

In a technological driven environment, a depreciation estimate which is based on traditional life analysis results in a decelerated rate of capital recovery. This time pattern of technological growths models needs to be incorporated into life analysis framework especially in those industries experiencing fast technological changes. The approximation technique for calculating the variance can be applied to the six growth models that were selected by the degree of skewness and the transformation of the functions. For the Pearl growth model, the Gompertz growth model, and the Weibull growth model, the errors have zero mean and a constant variance over time. However, transformed models like the linearized Fisher-Pry model, the linearized Gompertz growth model, and the linearized Weibull growth model have increasing variance from zero to that point at which inflection occurs. It can be recommended that if the variance of error over time is increasing, then a transformation of observed data is appropriate.

• Journal of Korean Society for Quality Management
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• v.23 no.1
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• pp.95-105
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• 1995

The error structure of nonlinearized technological growth models, such as, the Pearl curve, the Gompertz curve and the Wei bull growth curve, has zero mean and a constant variance over time. Transformed models, however, like the linearized Fisher-Pry model. the linearized Gompertz growth curve, and the linearized Weibull growth curve have increasing variance from t = 0 to the inflection point.

• Journal of Korea Society of Industrial Information Systems
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• v.18 no.4
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• pp.61-72
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• 2013

The relationship between export growth and economic growth in developing countries has been one of the main issues in the growth theory field. Many of empirical studies have been done during the last three decades in order to investigate the export-led growth hypothesis using either time-series or cross-sectional data mainly in developing countries. This paper applies cointegration and error correction models to test causal relationship between export growth and economic growth in the Korean 8 manufacturing industries using the industrial time-series quarterly data over 1975-2010. The export-output relationship is tested by including industrial capital stock and the industrial labor force as exogenous variables. The cointegration and error-correction modelling technique with industrial export and output data have showed the strong evidence that there is a bi-directional causality between industrial export and industrial output in 6 manufacturing industries except wood & pulp and nonmetallic industries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2085-2092
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• 2014

This study aims at finding the effects, problems and implication of the regional economic growth led by regional strategic industries in the Chungnam Province. It identifies the contribution of regional strategic industries in the regional economic growth even though there is somewhat difference between the sub-sectors of the industries. It also finds out some problems with the selection and implementation processes. In order to improve the regional industrial policy, it need to apply portfolio type of regional industrial development strategy on according to the typology of the industrial growth stages.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.4
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• pp.167-177
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• 2010

Recent competitive and technological changes during the past decade have accelerated the need for better capital recovery methods. Competition and technology have together shortened the expected lives of property which could not have been forecasted several years ago. Since the usage of technological growth models has been prevalent in various technological forecasting environments, the various forms of growth models have become numerous. Of six such models studied, some models do significantly better than others, especially at low penetration levels in predicting future levels of growth. A set of criteria for choosing an appropriate model for technological growth models was developed. Two major characteristics of an S-shaped curve were elected which differentiate the various models; they are the skewness of the curve and underlying assumptions regarding the variance of error structure of the model.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.201-210
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• 2020

This study aimed to analyze the influence of the industrial growth and the effect on government tax potential of the South Sulawesi Province. The growth of the tax object affects government tax potential of South Sulawesi Province. Environmental resources affect government tax potential of the province. The study used multiple linear regressions on primary data. The population consisted of all officers and staff involved in regional work units. Revenue Service area in South Sulawesi Province counts 630 employees. The sampling method is purposive sampling random carried out based on specific objectives. The respondent qualifications are taken from the Technical Implementation Unit Office and the Department of Revenue. The number of respondents is 96 from the Head of UPTD and three of them are related with tax Section Chief Officer. The results showed that industrial growth has a significant and positive effect on the potential increase in tax of South Sulawesi. Growth in tax object significantly affects the potential increasing tax of South Sulawesi. Environmental resources significantly affect the potential Increase in tax. Practical recommendations for local government is to enhance tax potential, reduce bureaucracy in industrial licensing, and facilitate local farmers to get involved in economic contributions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2821-2830
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• 2014

This study was carried out to define gazelle industry through preceded research for gazelle firm & gazelle region, in order to discover high-growth industries. Gazelle industry is 'employees per company is more than ten people, and over the past five years, within top 10% by Birch employment growth index'. According to the definition of gazelle industry, Chungnam gazelle 105 industries were chosen. Then, analyzed whether Chungnam gazelle industries has competitiveness compared with nation and each city of Chungnam. In addition, typology to industrial development stage was devised by developing of business scale quotient(BQ) and industrial growth rate(IG). And development strategies of Chungnam gazelle industries was proposed case by industrial development stage.

• Preventive Nutrition and Food Science
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• v.6 no.3
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• pp.192-196
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• 2001

Ethanol extracts from 36 vegetable samples were assayed for their growth-promoting effects on Bifidobacterium bifidum, B. longum, and Lactobacillus casei The growth-promoting effects varied according to bacterial strain and vegetable species. In modified Gy rgy broth, extracts of Lactuca sativa, Lycopersicon esculentum and L escutentum var. cerasiforme exhibited strong growth-promoting responses toward B. longum, and significant and strong growth- promoting response toward B. bifidum was observed in extracts of Actinidia arguta, Allium cepa, A. sativum, Brassica campestris subsp. napus vats. pekinensis, Capsicum frutescens, Daucus carota var. sativa, L sativa, 1. esculentum and L. esculentum var. cerasforme, Nelumbo nucifera, Cucurbita moschata, Lackca sativa var. capitata, and Rubus coreanus. For L casei, extracts of A. fshlosum, A. hberosum, Cichorium intbus, Cucurbita moschat\ulcorner Ipomoea batatas, 1. sativa var. capitata, L. esculentum, P. brachycarpa, Raphanus sativus, R. coreanus, and S. melongena strongly enhanced the growth of this bacteria. In modified Gy rgy broth, the promoting effect was most pronounced with B. bifidum and L. casei among lactic acid bacteria used. In MRS broth, A. arguta, A. cepa, A. sativum, B. campestris subsp. napus var. pekinensis, C. frutescens, and D. carota var. sativa L. satiw var. capitata, and R. coreanus strongly enhanced the growth of B. bifidum, Growth of B. longum was strongly affected by the addition of extracts from L. sativa var. capitata. For L casei, moderate growth-promoting responses were observed in 9 vegetable extracts. The promoting effect in MRS broth was most pronounced with B. bifidum among lactic acid bacteria used.