2017
DOI: 10.3390/su9122278
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Measuring Water Transport Efficiency in the Yangtze River Economic Zone, China

Abstract: Abstract:Water transport, a component of integrated transport systems, is a key strategic resource for achieving sustainable economic and social development, particularly in the Yangtze River Economic Zone (YREZ). Unfortunately, systematic studies on water transport efficiency are not forthcoming. Using Data Envelopment Analysis (DEA) and the Malmquist index as a model framework, this paper measures water transport efficiency in YREZ, conducts spatial analysis to identify the leading factors influencing effici… Show more

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Cited by 13 publications
(10 citation statements)
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“…In a pioneering work, Hu et al [25] incorporated water input into the total-factor production framework to construct an index of total-factor water efficiency (TFWE) which was defined as the ratio of optimal-to-actual water use. Data envelopment analysis (DEA) as a multi-factor efficiency assessment technique has been widely applied to deal with water efficiency evaluation issues [26][27][28][29][30][31][32][33][34][35][36]. For example, Wang et al [28] employed a slacks-based measure approach to examine water use efficiency of regional industrial systems in China.…”
Section: Introductionmentioning
confidence: 99%
“…In a pioneering work, Hu et al [25] incorporated water input into the total-factor production framework to construct an index of total-factor water efficiency (TFWE) which was defined as the ratio of optimal-to-actual water use. Data envelopment analysis (DEA) as a multi-factor efficiency assessment technique has been widely applied to deal with water efficiency evaluation issues [26][27][28][29][30][31][32][33][34][35][36]. For example, Wang et al [28] employed a slacks-based measure approach to examine water use efficiency of regional industrial systems in China.…”
Section: Introductionmentioning
confidence: 99%
“…In general terms, the port hinterland comprises the geographical sphere of influence where the port draws the majority of its business (Notteboom, ). However, it must be borne in mind that the concept of hinterland is dynamic, with Wilmsmeier, Monios, and Lambert () defining it as “the area that can be reached at a cheaper cost or shorter time than from another port.” Travel time is thus a better proxy than distance to depict the hinterland scope since it efficiently reflects the various frictions of distance resulting from technology and infrastructure improvements (He, Gao, Sun, & Lau, ; Kerkman, Martens, & Meurs, ). Models of spatial interaction (e.g., the gravity model, Huff model, and field model) based on travel time and masses (attractiveness) can simultaneously analyze the influence of both spatial and transport network characteristics.…”
Section: Theorizing On Port–hinterland Developmentmentioning
confidence: 99%
“…Data envelopment analysis (DEA) was developed by [63] and is based on linear programming, enabling the comparative analysis of multiple productive units with similar productive processes, which are characterized by the consumption of the same type of inputs to produce the same type of outputs, known as decision-making units (DMU) [64].…”
Section: Data Envelopment Analysis (Dea)mentioning
confidence: 99%