• Journal of the Korea Safety Management & Science
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• v.12 no.4
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• pp.183-190
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• 2010

This paper selects length of berth, area of yard, unloading capacity and number of berth as the input indexes, and cargo turnover as output index to research the source of TFP(Total Factor Productivity) growth of 23 main ports in Korea. The major conclusions are as follows. The TFP of the trade ports in Korea is at the fluctuating stage, but it generally displays a rising trend, and it’s growth originate from the growth of technical efficiency. The Growth rates of TFP of trade ports in the different areas are different, and the sources of growth are also different, but the changing trends are basically the same. Four major factors to the increase of TFP are following: competition between ports, reform of property system, harbor-hinterland economic and international trade, modeling, imitation and innovation in management, technology and system.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.355-364
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• 2022

The effect of technological innovation on the high-quality development of the producer services industry depends on whether or not technical innovation efficiency plays a key role. This study looks at the impact of technological innovation and financial technology (fintech) on the development of high-quality producer services in Fujian Province from 2010 to 2019. The efficiency of technological innovation is measured using Data Envelopment Analysis (DEA) and the Malmquist productivity index. The mean overall innovation efficiency score is 0.639, meaning that Fujian accounts for 36.1% of resource utilization inefficiencies and that there are significant differences in technological innovation efficiency between cities. The findings show that high-quality producer services industries benefited from innovation efficiency, but that the influence of technological innovation efficiency is insignificant. This demonstrates that financial innovation has not been able to completely enhance the development level of the producer services industry. This may be due to the unreasonable output structure of technological innovation and the low industrial transformation rate of technological achievements. This study advocates that the R&D fund allocation structure be optimized. That technological innovation can improve the high-quality development of the producer services industry is a consensus within the academic community.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.2
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• pp.181-196
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• 2006

This study analyzed the inter-regional productivity performance of Southeast region of Korea, namely, Busan, Daegu, Ulsan, Gyeongbuk, and Gyeongnam for 16 service sectors, which are categorized by two groups, knowledge based service (5 sectors) and non-knowledge based one (11 sectors) for the period of 1997-2004. This study applied the method of Malmquist productivity change index(MPI) to the estimation of spatial productivity. According to the estimation results, firstly, the MPI of service sector has been deteriorated by annually 0.1% on average. However, when we divided the period into 1997-2000 and 2001-2004, the productivity performances of the second period was better than that of the first period, which are the same trend in knowledge based and non-knowledge based service sectors. Secondly, comparing productivity performances by region and sector during the whole period, Daegu has seven sectors which are relatively comparative advantage. and Ulsan and Busan have six and five sectors, respectively, which are relatively comparative advantage.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.403-412
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• 2011

The execution of capital market law causes severe competition by promoting restructuring of financial industry. This study analyze efficiency and productivity change of the Korean Non-Life Insurance industry between pre-execution and pre-execution of capital market law using DEA model and Malmquist Index. Additionally, this study finds determinants of efficiency using tobit regression. The main results of this study can by summarized as follows. First, the efficiency with post-execution was increased comparing with pre-execution of capital market law significantly. Second, the productivity with post-execution was increased comparing with pre-execution of capital market law significantly. Third, significant determinants of technical efficiency and pure technical efficiency are weight of life planner. operation rate of assets respectively. And significant determinant of scale efficiency are firm size, operation rate of assets, weight of life planner.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.532-542
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• 2020

Due to abnormal weather conditions such as high temperature, the management of greenhouse rose farms is getting worse. In order to enhance the competitiveness of these farms, new measures are needed to improve their management performance. Therefore, this study suggests alternatives to improve the efficiency and productivity by identifying the causes of inefficiency of greenhouse rose farms in terms of management performance analysis through DEA analysis and MPI analysis. As a result of DEA analysis, the average TE of farmers increased from 0.867('16) to 0.905('17), but decreased to 0.850 in 2018, indicating that it was inefficient. In order to increase the management efficiency of farmers, efforts to preferentially reduce the costs (equipment, employment labor, fertilizer, facilities, seeds) that cause inefficiencies are needed. As a result of MPI analysis, TECI decreased from 1.044(T2) to 0.939(T3), which was the cause of the MPI decrease, and the TCI was rather increased from 0.958(T2) to 0.969(T3). In other words, it means that the decrease in productivity is due to insufficient utilization of potential production technology rather than the slowing of technological progress. This implies that it is important to provide technical guidance on utilization after technology dissemination.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.771-784
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• 2016

Purpose: The purpose of this study is to analyze the efficiency and productivity of the quality by integrating the product quality and service quality of global automobile brands from the customer's perspective. Methods: In this study, the data from JD Power and GoodCarBadCar.net were used to analyze the efficiency and productivity of a total of 24 automobile brands (10 luxury brands and 14 mainstream brands) between 2009 and 2013. For this, DEA (Data Envelopment Analysis) and MPI (Malmquist Productivity Index) were used. Results: The mean efficiency of the quality of global automobile brands were 0.725 for luxury brands and 0.587 for mainstream brands, which suggests generally higher efficiency for luxury brands. The productivity of the quality of global automobile brands increased by 16.1% for luxury brands while it decreased by 3.1% for mainstream brands. Conclusion: The study provides a theoretical implication in that it emphasized the efficiency of the quality viewed from the customer's perspective, and investigated the quality of the product and that of service in an integrative manner. In addition, this study provides also a practical implication in that it suggests how to set the sales goal by the brand and how to manage according to the characteristics of the brand to the managers of automobile manufacturers.