• Title/Summary/Keyword: TECI

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Analysis on Output Efficiency of Chinese Listed Port Companies Based on DEA Model

  • XU, Yan;KIM, Hyung-Ho
    • East Asian Journal of Business Economics (EAJBE)
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    • v.9 no.1
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    • pp.41-51
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    • 2021
  • Purpose - The purpose of this study is to propose strategies of improving efficiency of 20 listed port companies in China based on analysis of their input-output indexes from 2014 to 2018. Research design, data, and methodology - In this paper, the relevant input-output indicators of 20 listed port companies in China from 2014 to 2018 were adopted. Data derived from the company annual reports announced by Shanghai stock exchange and Shenzhen stock exchange. Comprehensive efficiency and pure technical efficiency were measured from output perspective by DEA and Malmquist index, and efficiency changes and regional efficiency were analyzed. Result - The results showed that the efficiency value of 20 listed port companies in China fluctuated and increased during 2014-2018, regional efficiency was unbalanced, and change of MPI was influenced by internal factors and external factors. Listed port companies affected by internal and external factors needed to make appropriate response to internal and external factors. Conclusion - The research conclusion can provide important reference information about management and planning for port companies in China and related areas. However, this paper is limited to the availability of data. So the improvement scheme for listed companies in inefficient regional ports needs further study, such as using AHP method.

An Efficiency Analysis of Science and Technology Budget in Provinces and Autonomous Regions in China (중국 성시 및 자치구 과학기술 예산활용 효율성 분석에 관한 연구)

  • Chao, Na;Jeon, Jun-Woo;Kim, Hyung-Ho
    • Journal of Digital Convergence
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    • v.17 no.12
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    • pp.129-137
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    • 2019
  • The purpose of this study is to analyze the efficiency of budget utilization of science and technology by the Chinese autonomous province and to present the direction of improvement. Data were obtained from the 2013-2017 statistical yearbook of higher education published by the Ministry of Education of China, and efficiency was analyzed using the malmquist analysis method. The analysis found that the low technological progress caused changes in the productivity MPI index, and that cities affected by technological efficiency needed to improve internal factors such as internal coordination and restructuring of universities in the region to increase efficiency. And it was found that areas affected by technological change needed proper response to external factors such as government policy, economic environment, social environment or technological development. This study is meaningful in that it presented reference data in enhancing efficiency of budget utilization of science and technology by autonomy of China, and it is necessary to establish strategies and study essential factors to increase efficiency of inefficient areas in the future.

Analysis on Productivity and Efficiency of Greenhouse Rose Farming (시설장미 재배농가의 효율성 및 생산성분석)

  • Yun, Jin-Woo;Lee, Dong-Su;Kim, Seong-Sup
    • 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.