Measuring the Green Efficiency of Ocean Economy in China: An Improved Three - Stage DEA Model

Lili Ding, Haihong Zheng and Wanglin Kang ()
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Lili Ding: School of Economics, Ocean University of China, China.
Haihong Zheng: College of Economics and Management, Shandong University of Science and Technology, China.
Wanglin Kang: College of Economics and Management, Shandong University of Science and Technology, China.

Journal for Economic Forecasting, 2017, issue 1, 5-22

Abstract: This paper aims to explore the true green efficiency of ocean economy in 11 coastal regions of China over 2004–2014. An extended three-stage DEA is proposed to improve the efficiency assessment of ocean economy. Malmquist–Luenberger productivity indexes are introduced into three-stage DEA model, which can simultaneously account for the impacts of undesirable outputs, environmental variables, and statistical noise. The results show that the environmental variables have significant impacts on regional ocean efficiency. Comparing with Malmquist productivity indexes, the average Malmquist–Luenberger productivity indexes of ocean economy have deteriorated over the past ten years. After eliminating the influences of environmental variables and statistical noise, the efficiency change and technical change of regional ocean economy are lower than the unadjusted case and technology inefficiency is the major cause of the inefficiency in China. Finally, a clustering matrix of the green efficiency of the regional ocean economy is presented to illustrate spatial refraction among 11coastal regions.

Keywords: ocean economy; three-stage DEA model; Malmquist-Luenberger index (search for similar items in EconPapers)
JEL-codes: C67 O47 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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