Benchmarking the operating efficiency of Asia container ports

Hung, Shiu Wan; Lu, Wen Min; Wang, Tung Pao

doi:10.1016/j.ejor.2009.09.005

Cited by 137 publications

(52 citation statements)

References 29 publications

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“…This is consistent with the finding ofHung, Lu, and Wang (2010), who reported a change in productivity in East Asian countries between 1985 and 2003. Their analysis showed that the scale elasticity was only 0.7933 on average, indicating that many countries in Asia Pacific have been experiencing diminishing scale efficiency levels.…”

Section: Resultssupporting

confidence: 82%

Financial crisis and the relative productivity dynamics of the biotechnology industry: Evidence from the Asia-Pacific countries

Lü¹,

Shun-Ching²,

Yuan³

2017

AGR ECON-CZECH

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Th e dynamics of the corporate-level performance growth can refl ect the pattern of the fi rms' reaction at the fi nancial crisis moment. We employed the generalized metafrontier Malmquist productivity index to measure the impact of the fi nancial crisis on the productivity of the biotechnology industry by using 68 biotechnology fi rms in the Asia-Pacifi c countries during [2001][2002][2003][2004][2005][2006][2007][2008][2009]. Th e empirical results showed that the fi nancial crisis did not signifi cantly impact productivity changes in the biotechnology industry in the Asia-Pacifi c region. Th is was primarily due to the improvements in effi ciencies of scale and factor inputs reducing the overall impact. We observed a signifi cant decreasing trend for technical changes in developed countries after the fi nancial crisis. Th erefore, how corporations enhance their technical innovation ability is relatively critical. Th e technological catch-up, the potential technological relative change, and the change in technical effi ciency in less-developed countries were poor after the fi nancial crisis. Th is suggests that less-developed countries should improve their technical and effi ciency levels to enhance productivity.

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Section: Resultssupporting

confidence: 82%

Financial crisis and the relative productivity dynamics of the biotechnology industry: Evidence from the Asia-Pacific countries

Lü¹,

Shun-Ching²,

Yuan³

2017

AGR ECON-CZECH

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“…Cullinane et al (2006) compared the results from DEA and SFA on port efficiencies and found high correlations between the results from the two approaches. In port literature, Hung, Lu, and Wang (2010) introduced scale efficiency into DEA analysis, and Sharma and Yu (2010) studied container terminals using the DEA model. Dowd and Leschine (1990) (1994) introduced the cross efficiency evaluation method to address the heterogeneity of DMUs.…”

Section: Literature Reviewmentioning

confidence: 99%

Group and individual heterogeneity in a stochastic frontier model: Container terminal operators

Yip

Sun

Liu

2011

European Journal of Operational Research

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Container ports are a major component of international trade and the global supply chain. Hence, the improvement of port efficiency can have a significant impact on the wider maritime economy. This paper deconstructs a representation in the existing literature that neglects the heterogeneity of individual and group-specific terminal operators. In its place, we present a hierarchical model to make a connection between efficiency and terminal operator group characteristics. The paper develops a stochastic frontier model that controls not only individual heterogeneity but also group-specific variations. The model decomposes the total stochastic derivation from the frontier into inefficiency, individual heterogeneity, group-specific variations, and noise components, with the estimation being performed using Markov chain Monte Highlights• We decompose individual and group-specific variations in frontier analysis.• This study is at the terminal level rather than port level.• Inefficiency is overestimated by a homogeneous frontier analysis.• Terminal operator groups generate more terminal throughput.• Terminal operator groups are more efficient than individual operators.

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“…Moreover, various techniques have been developed to permit the analysis of the influence of different factors contributing to the efficiency ranking, e.g. the Tobit model, or its special case, the recently created Simar-Wilson procedure with a truncated bootstrap regression [22], [23], [24].…”

Section: Use Of Non-parametric Methodsmentioning

confidence: 99%

Review and Systematization of Efficiency Measurement Methods Used in the Transport Sector

Markovits-Somogyi¹

2012

PROMET

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Benchmarking the operating efficiency of Asia container ports

Cited by 137 publications

References 29 publications

Financial crisis and the relative productivity dynamics of the biotechnology industry: Evidence from the Asia-Pacific countries

Financial crisis and the relative productivity dynamics of the biotechnology industry: Evidence from the Asia-Pacific countries

Group and individual heterogeneity in a stochastic frontier model: Container terminal operators

Review and Systematization of Efficiency Measurement Methods Used in the Transport Sector

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