scholarly journals Operational Performance Evaluation of Korean Ship Parts Manufacturing Industry Using Dynamic Network SBM Model

2021 ◽  
Vol 13 (23) ◽  
pp. 13127
Author(s):  
Sungmin Park ◽  
Pansoo Kim

The purpose of this study is to analyze the efficiency and productivity of the Korean ship parts manufacturing industry. To this end, the manufacturing process was divided into two stages (operating activities, financial activities), and the Dynamic Network SBM model and Malmquist Productivity Index were used. We collected analysis data from KIS-VALUE, and analyzed 40 companies from 2014 to 2020. As a result of the analysis, from 2014 to 2017, the average operating efficiency was 0.7825, the average financial efficiency was 0.5208, and the average total efficiency was 0.4537. It was found that improving efficiency requires improving both activities simultaneously, rather than focusing on a specific activity. Operating activities DMI was 1.0025, financial activities DMI was 0.9236, and OMI was 0.9464. In order to improve OMI, it is necessary to improve the financial activities DMI, which is the cause of the decrease in productivity. In order to improve financial activities DMI, government policy or technology change to improve DFS was found to be necessary. Finally, the effect of environmental factors on efficiency was analyzed by tobit regression. It was found that Firm Size had a negative (−) effect on efficiency, and Firm Age had a positive (+) effect on efficiency. The analysis results of this study will help to understand the relationship between input and output, which has been treated as a black box in the manufacturing industry, in two stages; and this will serve as a guideline for those working in Korea’s ship parts manufacturing industry to establish policies.

2020 ◽  
Author(s):  
Lilik Andriyani ◽  
Nurodin Usman ◽  
Zulfikar Bagus Pambuko

Purpose: The study aims to analyse the social funds’ productivity of Islamic banks in Indonesia and the antecedents of it. The study will measure the social fund productivity followed by the investigation about the variable which can determine the Islamic bank productivity.Methodology: The study conducted at nine Islamic banks Indonesia. Two stages of the Malmquist productivity index were applied to annual data from 2012-2018. The variables which are tested its effect on social funds’ productivity return on asset, operational efficiency, inflation, OPEC oil price, and economic growth.Main Findings: social funds’ productivity of Islamic banks in Indonesia has experienced progress during the observation period. It is supported by the progress on technological change and efficiency change. The antecedents of social funds’ productivity return on asset and operational efficiency, while macroeconomics conditions have no significant effect on social funds’ productivity.Applications of this study: This study enriches the research on Islamic banks and gives the recommendation for policymakers to supervise better and for banks’ managers to improve the social funds’ productivity.Novelty/Originality of this study: This research is the preliminary study on the determinant of social funds’ productivity in Islamic banks.


2017 ◽  
Vol 18 (1) ◽  
pp. 19-44 ◽  
Author(s):  
Fadzlan Sufian ◽  
Fakarudin Kamarudin

The paper examines the impact of mergers and acquisitions on the productivity of the Malaysian banking sector. The analysis consists of two stages. Firstly, the semi-parametric Malmquist productivity index (MPI) method is applied to a [-5, +8] window to examine the efficiency and productivity of the acquiring and target banks during the pre- and post-merger periods. Secondly, as suggested by Banker and Natarajan (2008), we employ a battery of parametric and non-parametric univariate tests to examine the difference in the efficiency and productivity of the Malaysian banking sector during the pre- and post-merger periods. We find that the Malaysian banking sector has exhibited a higher total factor productivity level during the post-merger period attributed to technological progress. The empirical findings do not provide conclusive evidence on the less productive banks becoming the target for acquisitions.


Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 591 ◽  
Author(s):  
Liang-han Ma ◽  
Jin-chi Hsieh ◽  
Yung-ho Chiu

China’s economic development status continues to grow, but its environmental degradation issue is also becoming a global concern. This study uses dynamic network data envelopment analysis (DN-DEA) to evaluate the energy using efficiency and environmental efficiency in China over the period 2014–2017. The result shows that the former is greater than the latter for all years. This study utilizes a policy-oriented matrix to find the relationship between energy efficiency and Malmquist productivity index (MPI), showing that Chongqing and 13 other provinces have relatively poor energy efficiency, and they therefore must formulate a more effective energy policy to improve undesirable gas emissions. Shanghai and 6 other provinces exhibit relatively good energy efficiency, but are not progressing in MPI, and hence they must develop a stable energy strategy to avoid different efficiencies of catch-up and frontier-shift across time periods. High energy-consuming industries must also choose a low-carbon energy strategy so that they can promote economic development, while taking into account environmental protection in China’s provincial level.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255851
Author(s):  
Sufang Zheng ◽  
Rabnawaz Khan

As a new business form of international trade and electronic commerce, e-commerce has been a controversial topic that has attracted the attention of scholars and industry professionals. This study estimated the operating efficiency and total factor productivity (TFP) of listed e-commerce firms in China from 2015 to 2019. Three related methodologies were applied: data envelopment analysis (DEA), the Malmquist TFP index, and stochastic frontier analysis. The DEA analysis results showed that environmental variables exerted a substantial effect on technical efficiency. Most firms demonstrated effective technical efficiency after adjustment for input variables. Business-to-business firms had the highest operating efficiency, followed by business-to-consumer and production-to-consumer firms. Technical progress and scale were identified as two major factors affecting improvement in TFP. Hence, e-commerce firms should make full use of advanced technology and aim to achieve economies of scale.


2020 ◽  
Vol 8 (2) ◽  
pp. 488-496
Author(s):  
Lilik Andriyani ◽  
Nurodin Usman ◽  
Zulfikar Bagus Pambuko

Purpose: The study aims to analyse the social funds’ productivity of Islamic banks in Indonesia and the antecedents of it. The study will measure the social fund productivity followed by the investigation about the variable which can determine the Islamic bank productivity. Methodology: The study conducted at nine Islamic banks Indonesia. Two stages of the Malmquist productivity index were applied to annual data from 2012-2018. The variables which are tested its effect on social funds’ productivity return on asset, operational efficiency, inflation, OPEC oil price, and economic growth. Main Findings: social funds’ productivity of Islamic banks in Indonesia has experienced progress during the observation period. It is supported by the progress on technological change and efficiency change. The antecedents of social funds’ productivity return on asset and operational efficiency, while macroeconomics conditions have no significant effect on social funds’ productivity. Applications of this study: This study enriches the research on Islamic banks and gives the recommendation for policymakers to supervise better and for banks’ managers to improve the social funds’ productivity. Novelty/Originality of this study: This research is the preliminary study on the determinant of social funds’ productivity in Islamic banks.


1970 ◽  
Vol 5 (1) ◽  
pp. 77
Author(s):  
Mahadzir Ismail ◽  
Saliza Sulaiman ◽  
Hasni Abdul Rahim ◽  
Nordiana Nordin

The Financial Master Plan (2001- 2010) aims to enhance the capacity of banking industry so that higher effic iency and productivity can be reaped in the future. This study seeks to determine the impact of merger on the efficiency and productivity ofcommercial banks in Malaysia for the period 1995 until 2005. The study uses a non-parametric approach, nam ely DEA (data envelopment analysis?) to estimate the efficiency scores and to construct the Malmquist productivity index. To enable this estimation, three bank inputs and outputs are used. Amongst the findings are those banks exhibit higher efficiency score after the merger and thefo reign banks are more efficient than the local banks. Productivity of the banks is calculated in both periods, before and after the merger: The results show that, it is the local banks that have improved the most after the merger. The main source of productivity is technical change or innovation. The findings support the existing policy of having larger domestic banks in term of size.


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