Benchmarking Environmental Efficiency of Ports Using Data Mining and RDEA: The Case of a U.S. Container Ports

This study provides step-wise benchmarking practices of each port to enhance the environmental performance using a joint application of the data-mining technique referred to as Kohonen’s self-organizing map (KSOM) and recursive data envelopment analysis (RDEA) to address the limitation of the conventional data envelopment analysis. A sample of 20 container ports in the U.S.A. were selected, and data on input variables (number of quay crane, acres, berth and depth) and output variables (number of calls, throughput and deadweight tonnage, and CO2 emissions) are used for data analysis. Among the selected samples, eight container ports are found to be environmentally inefficient. However, there appears to be a high potential to become environmentally efficient ports. In conclusion, it can be inferred that the step-wise benchmarking process using two combined methodologies substantiates that a more applicable benchmarking target set of decision-making units is be projected, which consider the similarity of the physical and operational characteristics of homogenous ports for improving environmental efficiency

Comparative analysis of port efficiency in Yangtze River Delta and Pearl River Delta: a meta Dynamic D.D.F. approach

The Yangtze River Delta and Pearl River Delta are two regions with the highest level of economic development in China, and their port development is at the forefront of the country. This study measures the efficiency of 23 major ports in the two deltas from 2010 to 2018 using the meta Dynamic Directional Distance Function (D.D.F.) model and discusses the technology gap and the reasons for inefficiency of the ports. The research results show that 80% of the ports in these two deltas are inefficient. The Yangtze River Delta’s port efficiency is higher than that of the Pearl River Delta, but the internal efficiency difference of the Yangtze River Delta port cluster is more significant. The efficiency ranking of most ports is inconsistent under the meta-frontier (M.F.) and group frontier (G.F.), and the average technology gap ratio (T.G.R.) of ports in the Pearl River Delta gradually exceeds that in the Yangtze River Delta. The inefficiency of ports in the Pearl River Delta is caused by input factors, and the inefficiency of ports in the Yangtze River Delta is also related to the containerisation level

Environmental efficiency of ports under the dual carbon goals: Taking China’s Bohai-rim ports as an example

In 2020, China proposed the country’s dual carbon goals of peaking carbon emissions by 2030 and achieving carbon neutrality by 2060. Under the dual carbon goals, the low-carbon transformation has become an important development direction for Chinese ports. Taking eight ports in China’s Bohai-rim port group as an example, this study adopts the Slacks-Based Measure (SBM) model to evaluate the port efficiency considering the environmental factor of carbon dioxide (CO2) emissions. The results show that the average scale environmental efficiency of the eight ports during 2005-2020 is the highest, followed by local pure technical environmental efficiency and global technical environmental efficiency. The efficiency values of each port under different environmental efficiency categories vary greatly. Overall, each port is in a state of environmental inefficiency. From port technology, input-output optimization, supervision, and management of relevant departments, recommendations for improving the environmental efficiency of ports under the dual carbon goals are put forward

Performance assessment of major European ports: an empirical investigation

In the recent literature, the strategic relevance of ports has improved, and this paper provides a comparative analysis of 24 European ports. The port performance has been evaluated considering data envelopment analysis and Shephard’s distance function. This latter approach offers an alternative method to address a significant restraint of the standard Stochastic Frontier when the model needs to consider multiple outputs. From a policy point of view, the conclusion could offer valuable insights to support policy measures targeted to expand port efficiency. The findings obtained from the analysis reveal that several contextual indicators must be included in benchmark analysis

Fishing for solutions. Environmental and operational assessment of selected Galician fisheries and their products

Fishing is the only hunting activity which is still maintained on an industrial level to sustain worldwide food demand. Currently, worldwide fisheries are suffering a series of hazards linked to overexploitation and increasing human demand for protein, causing a wide range of environmental impacts on marine ecosystems, such as stock depletion or ecosystem disruption. Moreover, the fishing industry has grown to an extent where the environmental burdens associated with on board and on land operational activities, such as fuel consumption by vessels or wastewater generated by canning factories, are also becoming important environmental concerns. From a regional perspective, Galicia (NW Spain), the main fishing region in the European Union (EU) in terms of landed fish and economic turnover, does not escape these global threats. Additionally, Galicia supplies the rest of Spain and other EU countries with important amounts of fresh and processed seafood

Benchmarking Sustainability Performance of Ports

Sustainable development agendas are challenging the world and ports, in particular, to find ways to become more efficient while meeting economic, social and environmental objectives. Although there has been a considerable body of documentation on green port practices and performance in Europe and America, there is limited synthesis about evaluation of sustainable practices in the Canadian ports context. This research aims to provide a modeling framework for benchmarking the sustainability performance of ports and to identify targets for improvement. A two-step approach is proposed. First, a review of literature and initiatives employed by global port authorities is conducted to identify major sustainability performance indicators. Second, data envelopment analysis (DEA) is applied to evaluate port performance while taking into account the dimensions of sustainable development. The DEA models evaluate both undesirable and desirable outputs for ports. Three categories of models are proposed namely; ignoring undesirable output, treating undesirable output as input, and directional distance function under variable and constant returns to scale. A case study for 13 North American ports is conducted. The results indicate that performance evaluations vary with economic and social criteria. The indicators and methodology undertaken can be used by ports and other industrial service sectors for improving green performance

Planning and evaluation parameters for offshore complexes

Issues are presented for consideration in the planning and design of offshore artificial complexes. The construction of such complexes, their social, economic, and ecological impacts, and the legal-political-institutional environments within which their development could occur, are discussed. Planning, design, and construction of near-shore complexes located off the Mid-Atlantic coast of the United States is emphasized