Performance Evaluation and Investment Analysis for Container Port Sustainable Development in China: An Inverse DEA Approach

Yang Lin, Longzhong Yan and Ying-Ming Wang
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Yang Lin: School of Economics, Fujian Normal University, Fuzhou 350117, China
Longzhong Yan: School of Economics, Fujian Normal University, Fuzhou 350117, China
Ying-Ming Wang: Decision Sciences Institute, Fuzhou University, Fuzhou 350108, China

Sustainability, 2019, vol. 11, issue 17, 1-13

Abstract: Container ports play an important role in international maritime trade. However, the rapid growth of the port and terminal industry has caused many environmental pollution problems. This paper intends to develop an inverse data envelopment analysis (IDEA) model for measuring container ports’ efficiency and analyzing their resource consumption by considering undesirable outputs. Statistical data from 16 main ports are empirically examined using the proposed method in accordance with the 13th Five-Year Plan in China. The results indicate that the proposed IDEA is a feasible approach for performance evaluation, and provides policymakers with insights into resource optimization of container ports. A comparative study with another DEA model is also discussed.

Keywords: Inverse DEA; container ports; efficiency evaluation; investment analysis; undesirable output (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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