• 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.

• 무역학회지
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• 제41권4호
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• pp.61-90
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• 2016

본 연구는 수출제조기업을 대상으로 기업의 생산성변화에 영향을 미치는 요인을 분석하는데 목적이 있다. 기존 실증연구에 기초하여 수출제조기업의 생산성변화에 영향을 미치는 변수를 선정하고, 이러한 변수들과 수출제조기업의 생산성변화간의 관계를 분석하였으며, 그 결과는 다음과 같다. 첫째, 수출제조기업 355개 대상으로 생산성변화에 영향을 미치는 요인을 분석한 결과에서 수출제조기업의 혁신활동과 총자산은 생산성변화에 긍정적인 영향을 미치는 반면, 인건비비율, 자기자본비율 및 유동비율은 생산성변화에 부의 영향을 미치는 것으로 나타났다. 둘째, 수출제조대기업에서 혁신활동과 무형자산은 생산성변화에 긍정적인 영향을 미치는 반면, 인건비비율, 판매비비율 및 자기자본비율은 생산성변화에 부의 영향을 미치는 것으로 나타났다. 셋째, 수출제조중소기업에서 혁신활동은 생산성변화에 긍정적인 영향을 미치는 반면, 인건비비율 및 자기자본비율은 생산성변화에 부의 영향을 미치는 것으로 나타났다. 넷째, KOSIP 상장 수출제조기업에서 무형자산은 생산성변화에 긍정적인 영향을 미치는 반면, 인건비비율, 판매비비율 및 유동비율은 생산성변화에 부의 영향을 미치는 것으로 나타났다. 다섯째, KOSDAQ 상장 수출제조기업에서 혁신활동 및 총자산은 생산성변화에 긍정적인 영향을 미치는 반면, 인건비비율 및 자기자본비율은 생산성변화에 부의 영향을 미치는 것으로 나타났다.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2003년도 학술대회지
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• pp.311-314
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• 2003

작업중단이 다음날의 현장 생산성에 미치는 영향을 정량화하기 위해 본 연구는 통계적 방법을 제안한다. 따라서 본 연구는 다음 영가설을 검정하는 절차를 거쳤다. '건설현장에서의 작업중단은 다음날의 현장 생산성과 생산성달성율에 아무런 영향을 미치지 않는다'. 이를 검정하기 위해 본 연구는 작업중단을 생산성에 영향을 미치는 더미 변수로 가정하고, 사례 데이터를 바탕으로 회귀분석을 실시, 작업중단이 생산성에 미치는 영향을 정량화하였다. 또한, 이론 바탕으로 작업중단이 다음날의 생산성달성율에 미치는 영향을 검토하였다. 이러한 연구를 바탕으로, 현장에서 작업연속성을 확보하기 위한 노력이 생산성 확보 차원에서 유효함을 알 수 있었다.

• 아태비즈니스연구
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• 제15권1호
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• pp.113-129
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• 2024

Purpose - This study aims to empirically identify the quantitative effects of work from home (WFH) on employee productivity using field data. Design/methodology/approach - Based on large-scale field data from a South Korean company which introduced the WFH arrangement in 2020, we conducted fixed effect and moderating effect analyses using individual-level panel data over sixty-three weeks. Findings - The empirical analysis generated several findings. It was found that overall, WFH has a positive effect on productivity. However, the productivity impact of WFH was found to vary depending on task characteristics. Specifically, WFH led to over 20% increase in productivity for simple and repetitive tasks. On the other hand, no significant productivity impact was observed for professional and knowledge-based tasks. Research implications or Originality - As the first study based on field data from South Korea, this study offers convincing causal evidence of the moderating impact of task characteristics on the relationship between WFH and productivity. Further, the above findings provide managers with practical insights concerning their work arrangement decisions.

• 한국건축시공학회지
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• 제11권2호
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• pp.100-107
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• 2011

건설공사의 공사기간은 건설프로젝트의 성공적인 완수를 위하여 중요한 부분을 차지하기 때문에 공사기간에 영향을 미치는 요인들을 체계적으로 관리하는 것이 필요하다. 최근에는 건설 제도적 변화로 건설공사의 공사기간에 대한 관심이 증대되고 있다. 그러나 건설 프로젝트의 공사기간에 미치는 영향요인은 매우 다양하며, 각 요인들 중 어떤 요인이 어느 정도 작업의 생산성에 영향을 미치는지에 대한 데이터의 체계적인 활용이 부족하다. 또한 특정 프로젝트, 특정 작업, 특정 협력업체 등에 영향을 미치는 요인이 무엇인지 또는 전체 프로젝트에 공통적으로 영향을 미치는 요인이 무엇인지를 인식하는 것조차 어려운 경우가 많다. 그러나 데이터 웨어하우스 기술의 다차원 분석을 활용함으로써 다양한 각도에서의 공사기간 영향요인이 미치는 생산성을 파악할 수 있다. 이에 본 연구는 건설공사에서 발생하는 다양한 영향요인에 따른 작업 생산성 데이터를 다차원적으로 분석하고 의사결정에 활용할 수 있는 데이터 마이닝 기술을 적용하여 기존 생산성 데이터들을 효과적으로 활용하는 방법을 제시한다.

• 한국건설관리학회논문집
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• 제6권5호
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• pp.69-77
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• 2005

Change is inevitable and is a reality of construction projects. Most construction contracts include change clauses and allowing contractors an equitable adjustment to the contract price and duration caused by change. However, the actions of a contractor can cause a loss of productivity and furthermore can result in disruption of the whole project because of a cumulative or ripple effect. Because of its complicated nature, it becomes a complex issue to determine the cumulative impact (ripple effect) caused by single or multiple change orders. Furthermore, owners and contractors do not always agree on the adjusted contract price for the cumulative Impact of the changes. A number of studies have attempted to quantify the impact of change orders on project costs and schedule. Many of these attempted to develop regression models to quantify the loss. However, regression analysis has shortcomings in dealing with many qualitative or noisy input data. This study develops ANN models to classify and quantify the labor productivity losses that are caused by the cumulative impact of change orders. The results skew that ANN models give significantly improved performance compared to traditional statistical models.

• Journal of Korea Trade
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• 제25권3호
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• pp.48-64
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• 2021

Purpose - This study examined the effect of tariff cuts on productivity in Korea's manufacturing industries and the effect of initial productivity level before tariff cuts on productivity improvement after tariff cuts. We also attempted to identify whether import-driven or export-driven factors are more important for productivity improvement, especially in low productivity industries. Design/methodology - Since tariff reduction is a policy decision that can affect cross-industry, its impact is spread across all industries beyond the scope of a single firm through the input and output network of industry structure. Accordingly, we proposed a new method to measure the change in productivity to reflect the impact of tariff cuts across industries. Through an Armington CGE analysis, changes in endogenous variables can be directly measured after the exogenous shock of tariff reduction, and the amount of movements in productivity triggered by tariff cuts can also be calculated. We can thus assess the effectiveness of exogenous policy, such as tariff cuts, through the difference between the benchmark and counterfactual values of endogenous variables. Findings - This study confirmed that tariff reduction positively affected productivity improvement in Korea's manufacturing industries. It also confirmed that productivity gains occur in Korea's leading export industries. Finally, greater productivity gains were recorded in the group with additional high-export-share or high-import-share conditions for low productivity industries. These results are, in a limited sense, consistent with the existing studies that emphasize the importance of exports and imports on productivity improvement, especially for low productivity industries. Originality/value - The results of our experiments are different from those of non-CGE studies, which measure the industry-level change in productivity with dummy coefficients, in terms of directly calculating the amount of change in productivity. In addition, we propose that the Armington CGE model is more appropriate than the Melitz CGE model to directly measure the productivity after tariff cuts. This is because the Melitz CGE model assumes the given specific productivity density, which does not change after an overall drop of tariffs. To the best of our knowledge, this approach to directly calculating productivity by reflecting the impact of tariff reduction across industries through CGE analysis, is unprecedented in this literature.

• 무역학회지
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• 제46권3호
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• pp.25-44
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• 2021

This paper analyzes the impact of the recent change in global value chain on the productivity of manufacturing sectors and firms in Chungnam area using ADB MRIO. Forward participation significantly increases sector productivity in Chungnam area and backward participation affects the sector productivity after 2015. In the analysis for firm productivity in Chungnam area, GVC participation does not enhance the productivity of firms in Chungnam area. However, firms in the top 25% of productivity in 2007 improved their productivity with higher GVC participation and the productivity of firms in the top 25% of asset in 2007 was positively affected by forward pariticipation and negatively affected by backward participation. The productivity of firms that were in international market in 2007 was significantly worsened by GVC participation.

• 산경연구논집
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• 제11권4호
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• pp.7-18
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• 2020

Purpose: This research investigates the impact of technology adoption on organisation productivity. The framework has three independent variables viz. technological change, information technology (IT) infrastructure, and IT knowledge management and one dependent variable as organisational productivity. Research design, data and methodology: An explanatory research design with a quantitative research method was employed, and data was collected using a self-administered questionnaire using online as well as an offline survey. The sample consisted of 300 IT managers and senior-level executives (production as well as service team) in leading IT companies in Malaysia selected using snowball sampling. Normality and reliability assessment was performed in the first stage utilising SPSS 22, and Confirmatory Factory Analysis (CFA) was performed with maximum likelihood estimation to assess the internal consistency, convergent validity, and discriminant validity. Finally, Structural Equation Model (SEM) and path analysis are conducted using AMOS 22. Results: The research findings demonstrated that technological change and IT infrastructure positively and significantly impact the organisation's productivity while IT knowledge management has significant but negative impact on organizational productivity of IT companies in Malaysia. Conclusion: The research concludes that all three factors plays important role in deciding organizational producvity. Recommendations, implications, limitations and future research avenues are discussed.

• 정보기술응용연구
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• 제3권2호
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• pp.25-48
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• 2001

최근 기업차원뿐 만 아니라 국가적 차원에서도 정보기술에 대한 투자 및 활용에 많은 노력을 기울이고 있다. 본 연구는 이러한 노력이 과연 가시적인 경제적 효과를 가져오는가를, 정보화수준과 생산성의 관계를 통해 알아보고자 한다. 특히, 거시적 차원에서 국가의 정보화수준이 국가경제생산성에 미치는 영향을 분석하기 위해, 주요 국가들의 정보화와 생산성에 관한 제반 통계자료를 수집하여 정보화지수 성장률과 총요소생산성(TFP : Total Factor Productivity) 및 노동생산성 성장률 등을 측정하고, 이들 개념간의 관계를 실증적으로 분석하였다.