Technical efficiency comparison of container ports in Asian and Middle East region using DEA

Mustafa, Faluk Shair; Khan, Rafi Ullah; Mustafa, Tariq

doi:10.1016/j.ajsl.2020.04.004

Cited by 42 publications

(25 citation statements)

References 32 publications

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“…DEA analysis also does not require prior assumptions related to the data as in the standard regression analysis (Banker et al, 1984;Cooper et al, 2001). Moreover, no assumptions of a functional form relating to the inputs to outputs are required to build DEA models (Mustafa et al, 2020). DEA enables the modeler to calculate the efficiency scores of DMUs based on their performance on output generation or input utilization.…”

Section: Methodsmentioning

confidence: 99%

Assessing the Performance of the Developing Countries for the Utilization of the Green Climate Fund

Ari¹,

Işık²

2022

Front. Clim.

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Emission mitigation actions are being undertaken at the global level to combat climate change and address potential climate risks. The Green Climate Fund (GCF) is a major source of finance to catalyze the transformation toward a low emission future in developing countries. While the importance of the GCF is widely acknowledged, quantitative evaluation of its utilization is limited. Using data envelopment analysis (DEA), the aim of this study was to perform an empirical analysis of the differences in the relative efficiency of countries regarding the implementation of the GCF on emission mitigation projects. In line with the structure of green climate funding, three performance indicators were identified as input parameters, monetary leverage effect of GCF, political environment and Research and Development (R&D) spending. Data were collected for 30 countries that received GCF. Those countries were clustered as the least developed countries (LDC), small island developing states (SIDS) and other developing countries. The findings of this study indicated that Mauritius, Lao, and Congo fully utilized the funding they received and showed satisfactory performance within the LDC and SIDS countries. Vietnam, Pakistan, Nigeria and Ecuador were also found to be the efficient frontiers among other developing countries. These results presented that decision making tools and processes should be considered to increase the efficiency level of utilization of the GCF for emissions reduction in developing countries.

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Section: Methodsmentioning

confidence: 99%

Assessing the Performance of the Developing Countries for the Utilization of the Green Climate Fund

Ari¹,

Işık²

2022

Front. Clim.

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“…This literature strand is related to economic efficiency, previous studies measured the economic efficiency and evaluated the performance of the countries with respect to different aspects. For instance, Mustafa et al ( 18 ) analyzed the economic efficiency of South Asian and Middle Eastern countries that participants in the BRI projects. They measured the technical efficiency by using the DEA-CCR and DEA-BCC approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

Nexus Between Economic Efficiency, Healthcare, and Environmental Expenditures: A Perspective of BRI Countries

Hussain

Miao

Zhao

et al. 2022

Front. Public Health

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Public health and the environment are the most essential pillars, and play a vital role in the economy. In order to better public health, the economic and environmental atmosphere must be stable and clean, respectively. Thus, this paper emphasizes on nexus between economic, public health, and the environment. Therefore, the objective of this paper is whether healthcare and environmental expenditures affect economic efficiency and vice versa. So, this study evaluates the performance of the country's economic efficiency and investigates the effect of healthcare and environmental expenditures for 62 Belt and Road Initiative countries for the period from 1996 to 2020. Suitable input-output variables are employed under the framework of DEA-window and Malmquist Index Productivity, and Stochastic Frontier Analysis (SFA). In addition, this study estimates the relationship between economic efficiency, healthcare, and environmental expenditures by fixed and random effects models. Therefore, the analytical outcomes reveal that countries are economically efficient. On the contrary, SFA estimation concludes that countries are found to be inefficient, because higher variation is exists in efficiency change compared to technological efficiency change and total factor productivity change on average. In addition, it is worth notable that healthcare and environmental expenditures improve the country's economic efficiency. Furthermore, public health is also influenced by economic efficiency. Thus, this study suggests that countries should better utilize given resources and invest a specific portion of national income in order to improve economic efficiency.

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“…Tahun 2018 penggunaan petikemas meningkat dari 710 juta TEUs menjadi 752 juta TEUs di tahun 2019, di mana Asia memiliki perkembangan paling tinggi yaitu sekitar 60% (Nguyen et al, 2020). Meskipun terjadi peningkatan tren penggunaan petikemas tahun 2012 hingga 2019, dalam pengiriman muatan petikemas belum ada standar penggunaan kapal berdasarkan rentang muatan yang akan yang dikirim (Mustafa et al, 2021). Industri pelayaran memegang peranan penting dalam kegiatan perdagangan antar wilayah (Zhao et al, 2019).…”

Section: Pendahuluanunclassified

Analisis dan Model Standard Angkutan Laut: Studi Kasus Muatan Petikemas

Achmadi¹,

Hanif²,

Khaqiqi³

2021

Rekayasa

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The increase in container rates, which tends to be unstable, has an impact on the price of cargo per unit to increase. The uncertainty of the amount of cargo carried makes the tariffs imposed also unstable. The purpose of this research is to make a standard model of the cost of each unit and the size of the capacity of container transport services based on changes in cargo and distance of shipping routes. In addition, it analyzes the relationship between load factor and frequency on the gross income of a shipping company. The optimization method is used to get the size and cost per unit under certain conditions. The results of the analysis explain that the current tariff is not yet optimal, proven by the current cost equation y=2E+06x (-0,342) (R 2 = 0,238). Then to create a standard model of transportation, the equation for the cost line per container ship freight unit y=1E+09x (-0,759) (R 2 = 0,8634) while SPCB y=6E+07x (-0,59) (R 2 = 0,8234). This study also produces an equation model for the size of the container ship transport capacity y=3E-05x+57,662 (R 2 =0,943) while SPCB y=2E-05x+94,446 (R 2 =0,997). The conclusion is using a sensitivity analysis of the carrying capacity with the current condition of ship operation patterns for the minimum load factor for the Surabaya-Ambon route 76% and Surabaya-Serui 48%. For a 100% load factor condition, it can reduce the cost per unit for the Surabaya-Ambon route by 50% and for the Surabaya-Serui route by 63%.

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Technical efficiency comparison of container ports in Asian and Middle East region using DEA

Cited by 42 publications

References 32 publications

Assessing the Performance of the Developing Countries for the Utilization of the Green Climate Fund

Assessing the Performance of the Developing Countries for the Utilization of the Green Climate Fund

Nexus Between Economic Efficiency, Healthcare, and Environmental Expenditures: A Perspective of BRI Countries

Analisis dan Model Standard Angkutan Laut: Studi Kasus Muatan Petikemas

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