A Nonparametric Economic Analysis of the US Natural Gas Transmission Infrastructure: Efficiency, Trade-Offs and Emerging Industry Configurations

Corrado lo Storto

Energies, 2018, vol. 11, issue 3, 1-24

Abstract: This paper presents a study aimed at measuring the efficiency of the transmission segment of the US natural gas industry from an economic perspective. The gas transmission infrastructure is modeled as an economic production function and a multi-stage modeling approach based on the implementation of Data Envelopment Analysis is employed to obtain an efficiency measure in a two-dimension performance space, i.e., cost and revenue-efficiency. This approach allows taking into account conflicting business goals. The study also performs cluster analysis to uncover homogeneous efficiency profiles relative to the gas transmission systems to explore determinants of efficiency rates, and trade-off situations. A sample containing 80 US gas transmission systems is used in the analysis. Results indicate that the transmission segment of the US gas industry has considerable inefficiencies, while average cost and revenue-efficiency scores are 0.324 and 0.301, and only three transmission systems achieve high scores on both efficiency dimensions. Cluster analysis identified seven configurations. In three of them there are no trade-off situations between cost and revenue efficiencies. However, only in one of them gas transmission systems have high efficiencies. The remaining four configurations exhibit trade-off situations having different intensity. Such trade-offs can be determined by the gas transmission infrastructure size.

Keywords: natural gas industry; United States; transmission systems; Data Envelopment Analysis; efficiency; trade-offs; configurations (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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