Governance and Dynamic Efficiency with Network Structure in the Brazilian Natural Gas Utilities
Source abstract
Abstract
The objective of this work is to analyze the relevance of governance (corporate and ownership concentration) for the divisional inter-temporal dynamic efficiency in piped natural gas utilities in Brazil. The main innovative contribution of this work is the application of inter-temporal (dynamic) efficiency analysis with network structure in the first stage, in this case, the ‘Dynamic DEA (Data Envelopment Analysis) with network structure: A slacks-based–DNSBM (Dynamic Network Slacks-Based Measure)’, in which two divisional interactions δok∗ (technical–operational and economic–financial division) between τot∗ periods and divisional ρokt∗ periods are reflected in the overall efficiency scores θo∗, representing an approach not yet explored by the previous literature on the sector and subject investigated. The database used corresponds to 21 Brazilian natural gas utilities in the form of a balanced data panel, which were collected for the period 2014–2019. The second stage (explanatory) was estimated through the panel with random effects to identify the relationship between governance and efficiency, considering certain context factors. The results show that the average general efficiency was 74.96%, resulting from the interactions between the average efficiency rates of 72.21% of the technical–operational division and 82.03% of the economic–financial division, and suggest that the corporate governance index and ownership (public or private) are not relevant factors for the efficiency results studied.
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Research context
OpenAlex topics: Efficiency Analysis Using DEA · Electric Power System Optimization · Energy, Environment, Economic Growth
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
HALLIBURTON PRODUTOS LTDA, Federal Rural University of the Semi-Árido (UFERSA), Mossoró 59625-900, RN, Brazil
Department of Accounting Sciences (DCC), Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, RN, Brazil
RCM2+, Universidade Lusófona, Campo Grande 376, 1749-024 Lisbon, Portugal
Department of Applied Social Sciences (DCSA), Federal Rural University of the Semi-Árido (UFERSA), Campus Mossoró, Mossoró 59625-900, RN, Brazil
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