• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.555-569
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• 2020

This study examines the impact of corporate tax, a fiscal measure along with trade liberalization and research and development on total factor productivity for a panel of 153 industrial firms listed on the Pakistan Stock Exchange over the period 1997-2017. For empirical analysis, we employ the system generalized method of moment estimator. In the first step, we estimate industrial production function and the results reveal that raw material, industrial labour force and energy play vital role in enhancing industrial production. Whereas, industrial capital exerts negative impact on industrial output. We also measured total factor productivity using the production elasticities. In the second step, we examine the impact of corporate tax, trade liberalization and research and development on total factor productivity. The results indicate that higher level of corporate tax exerts negative impact on total factor productivity. The findings reveal that higher corporate taxation discourages industrial firms to undertake research and development thereby exerting adverse impact on total factor productivity of firms. The impact of trade liberalization proxied by average tariff is positive while customs duty and sales tax negatively impact firm-level total factor productivity. These findings provide useful insights for managers, investors and policy makers in Pakistan.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2007년도 춘계학술대회
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• pp.205-214
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• 2007

This paper aimed to exam the influence factor of purchasing decision making of industrial buyer and analyze their effects on success. To accomplish this purpose, this study examined previous studies and summarized influence factors of purchasing decision making of industrial buyer. From previous studies, we drew influence factor. influence factor is buying center, character of industrial goods provider, perceive risk.

• 부동산연구
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• 제27권4호
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• pp.7-20
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• 2017

본 연구는 노후산업단지의 쇠퇴영향요인을 진단하고 그 특성을 바탕으로 노후산업단지를 유형화하였으며 연구 결과를 노후산업단지의 재생방안으로 연계하고자 하였다. 이를 위해 전국 산업단지를 대상으로 착공시점을 기준으로 20년이 경과한 94개소 노후산업단지에 대해 17개 지표를 측정 및 분석하였으며, 그 중 장치산업단지 5개소를 제외한 89개소 노후산업단지의 15개 지표에 대해 요인분석을 실시하였다. 요인분석 결과, 15개 지표는 5개 요인으로 분류되었으며 요인1은 '시가화 가능성', 요인2는 '생산 효율성', 요인3은 '기반시설 쾌적성', 요인4는 '입지 잠재성', 요인5는 '지원시설 충족성'으로 구분할 수 있었다. 이를 이용하여 5개 요인점수의 하위 25%에 해당하는 산업단지를 추출하고 어떠한 쇠퇴영향요인이 잠재하고 있는지를 살펴보았다. 요인분석 결과 시사점은 '시가화 가능성'은 산업단지내 입주 기업업종과 토지이용과의 관련성을 내포하고 있다. '생산효율성'분야는 기업들의 생산성을 높일 수 있는 효율적인 지원방안이 모색될 필요가 있다. '기반시설 쾌적성'요인은 자생적인 재생유도보다는 정부 및 지자체가 직접 관여하여 물리적 정비가 이루어져야 할 것이다. '입지잠재성' 요인은 광역급 인프라 구축, 산단내 기반시설의 개선 및 정비, 지가상승 등을 복합적으로 고려하여 고부가가치 산업 유치를 고려하거나 산업구조고도화를 위한 업종변경 등 장기적이고 전략적인 접근이 필요할 것이다. 마지막으로 '지원시설 충족성'은 필요한 지원시설 공급을 위해 노후산업단지의 정확한 쇠퇴진단을 통해서 유휴부지를 발굴하거나 국 공유지를 활용할 수 있는 방안이 모색될 필요가 있겠다.

• 대한산업공학회지
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• 제29권2호
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• pp.145-149
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• 2003

We consider the estimation of failure rate and acceleration factor under type-I censoring without using acceleration model when testing is conducted in only one highly accelerated condition. Failure times of an item are assumed to be exponentially distributed. It is also assumed that the uncertainty about the acceleration factor, the failure time contraction ratio between accelerated condition and use condition, can be modeled by the uniform or gamma prior distribution of appropriate parameters. We respectively use Bayes and maximum likelihood approaches to estimate acceleration factor and failure rate in the use condition. An example is given to show how the method can be applied.

• 산업공학
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• 제21권3호
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• pp.312-321
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• 2008

The productivity increase by technological advance is the biggest driving force of economic growth. In this paper, we investigate the inputs and outputs of the manufacturing and service industries in Korea. We also estimate the total and partial factor productivities of both industries using the Solow model and the Kendrick model. Finally, we analyze the contribution of each input factor to industrial growth.

• 산업경영시스템학회지
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• 제37권4호
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• pp.54-62
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• 2014

This paper is present the Technology Orientation affects to Enterprise Management Performance. In order to carry out this research, we obtained 212 survey sheets and inspected ten assumptions based on the reliability, validity of the questionnaires. The results of regression analysis are summarized as follows; First, the factor of Technology Orientation, research development activity, affects to all factor of Enterprise Management Performance significantly. Second, the factor of Technology Orientation, research development environment, only effect on the technology performance. Third, research development ability is affect to technology performance and new product performance that factor of Enterprise Management Performance. Finally, technology industrialization ability isn't affects to Enterprise Management Performance significantly. Based on the results, we are recommendations for small and medium-sized manufacturing enterprises.

• 산업경영시스템학회지
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• 제35권1호
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• pp.24-31
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• 2012

This study is designed to predict the overall electric power load, to apply the method of time sharing and to reduce simultaneous load factor of electric power when authorized by user entering demand plans and using schedules into the user's interface for a certain period of time. This is about smart grid, which reduces electric power load through simultaneous load factor of electric power reduction system supervision agent. Also, this study has the following characteristics. First, it is the user interface which enables authorized users to enter and send/receive such data as demand plan and using schedule for a certain period of time. Second, it is the database server, which collects, classifies, analyzes, saves and manages demand forecast data for a certain period of time. Third, is the simultaneous load factor of electric power control agent, which controls usage of electric power by getting control signal, which is intended to reduce the simultaneous load factor of electric power by the use of the time sharing control system, form the user interface, which also integrate and compare the data which were gained from the interface and the demand forecast data of the certain period of time.

• 한국환경과학회지
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• 제5권1호
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• pp.15-23
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• 1996

During the last two decades, many industrial complexes for heavy and chemical industries have been established along the Korean coastline, thereby increasing the pollution materials burden on the coastal environment of seawater. Masan Bay is one of the most polluted coastal areas in Korea and the main soures of pollutants are domestic and industrial wastewater from Masan, Changwon. This study was aimed to evaluate relationships among the physicochemical parameters in the bottom water of Masan bay and to examine environmental factors affecting to pollutions of seawater by factor analysis. 'rife factor loading, 1 is showed higher increasing inclination after 1989 year in station 1. The variance of pollutant materials is showed 43.7% in which the coastal inflow water is indicated external loadings(factor 1 : NO3--N, TN, factor 4 : SiO2-Si) corresponded to domestic sewage, industrial wastewater, and earth-sands in the bottom water of Masan bay And the internal loadings(factor 2 : SS, salinity, factor 3 . W.T., DO) are explained 33.8%'corresponded the phenomena of sedimentary layer and oxygen concentration. Therefore, The external loadings are explained by the higher factor pollutantal variance in Masan bay.

• 품질경영학회지
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• 제46권2호
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• pp.301-310
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• 2018

Purpose: The purpose of this study is to investigate the effect of work intensity on fit factor and affective quality of the dustproof Background: Among the victims who suffer pneumoconiosis due to the inhalation of toxic substances or the lack of oxygen during the work, the proportion of the victims is larger than the other causes. Wearing a respirator may prevent pneumoconiosis, but it can be hazardous to workers because of the leakage through filters, cartridges, exhaust valves, broken parts, and face-to-face contact. Despite leakage through the contact area between the mask and the face has various causes such as the wearer's activity, sweat accumulation, facial shape, etc., There is a lack of relevant research and regulation compared to developed countries that have already institutionalized the law 30 years ago and give the right to sell through a test Method: The work intensity was adjusted by walking or running at 6km/h and 11km/h on the treadmill, and tasks were defined with reference to the test procedure and the exercise sequence applied in the face leakage test of the dustproof mask. And fit factor was measured objectively using 'Respirator Fit Tester 8038' which measures fit factor calculated by dividing the number of dust present outside the mask by inside the mask. In addition, affective quality was classified by the ease of use, ease of breathing, and ease of wearing, and was measured using the 5-point likert scale questionnaire. Results: There was a significant difference in fit factor, ease of breathing, and wearing convenience according to work intensity and no significant difference in ease of use(${\alpha}=0.01$). And when the work intensity was high, fit factor, ease of breathing, and wearing convenience were all lower than when the work intensity was low. Conclusion: In Korea, it is necessary to consider consideration of the work intensity when testing the leakage rate of the face part for safety certification of the respiratory protective equipment, When developing a mask, it should be possible to maintain high adhesion even under intense, active situation and high temperature conditions by selecting materials, improving the wearing style, and expanding the adjustable range.

• 산업경영시스템학회지
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• 제46권1호
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• pp.42-47
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• 2023

With rapid urbanization, the importance of urban warfare is increasing, and it is also required to reflect the characteristics of cities in wargame models. However, in the military's wargame models, the urbanization factor was calculated and used without theoretical basis. In this study, we investigate techniques for estimating the urbanization factor using Fractal dimension theory. The urbanization factor we propose can suggest a logical and valid representative value when used in conjunction with Agent Based Model and other methodologies.