Environmental efficiency of ports: a Data Envelopment Analysis approach
Numerous studies have analyzed the productivity, efficiency, and competitiveness of ports. However, empirical studies on the environmental efficiency of ports have not yet been carried out, since all previous studies have not considered the undesirable outputs that ports generate, for instance, CO<sub>2</sub> emissions. To fill the gap in the literature, the objective of this study is to estimate environmental efficiency of ports. More specifically, this paper intends to analyze environmental efficiency of ports in Korea and to estimate the potential CO<sub>2</sub> emission reduction by ports in the country. The main methodology is a Slacks-Based Measure Data Envelopment Analysis (SBM-DEA) model. Data, on labor, capital, and energy used as major inputs of the port sector; on cargo tonnage and vessel tonnage handled as desirable outputs; and on CO<sub>2</sub> emissions as an undesirable output, were collected and estimated. The SBM-DEA model was able to provide us with a more comprehensive efficiency of combining economic performance and environmental performance and was also able to capture slack values of input excess and undesirable output excess (CO<sub>2</sub>) as well as desirable output shortage. Using the model and the data, it was found that Korean ports are deemed to be economically inefficient, but environmentally efficient when considering economic and environmental performances simultaneously.
