Abstract
It is vital to determine the changing spatiotemporal patterns and driving factors of green total factor energy efficiency (GTFEE) in order to design scientific policies to promote energy efficiency in the Regional Comprehensive Economic Partnership (RCEP) region. From 2010 to 2019, the super-efficient SBM model and the global Malmquist-Luenberger index provide an appropriate framework for measuring the spatiotemporal evolution of GTFEE and the dynamics of energy productivity in RCEP countries. With the coefficient of variation and the Thiel index, an extensive view of the spatiotemporal variance in GTFEE is offered, taking regional heterogeneity into account. Furthermore, the Tobit model is introduced to investigate the factors influencing the GTFEE of RCEP members, which may address the restricted values of the dependent variable when compared to the least squares regression model. Findings suggest that (1) The GTFEE of RCEP members tends to be low and unevenly distributed spatially and temporally, with much room for improvement. (2) The energy productivity index fluctuates strongly, and the improvement primarily comes from technological progress. (3) The Non-ASEAN region possesses higher GTFEE than the ASEAN region, albeit regional variations are diminishing. (4) In terms of the major factors influencing the regional GTFEE, the non-ASEAN region looks to be distinct from the ASEAN region. The findings shed light on the trends and influencing factors of GTFEE in RCEP and serve as a resource for international energy cooperation and sustainable development.
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Caiqing Zhang: conceptualization, methodology, validation, investigation, project administration, funding acquisition, supervision. Zixuan Wang: formal analysis, investigation, data curation, software, validation, writing—original draft, writing—review & editing.
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Highlights
(1) From 2010 to 2019, the GTFEE of 15 RCEP members is quantified.
(2) The super-efficiency undesirable SBM model yields more accurate GTFEE.
(3) The GML index allows for dynamic evaluation of energy productivity.
(4) By combining the Theil index and CV, the spatiotemporal variations were confirmed.
(5) The Tobit model was used to investigate the drivers in light of regional heterogeneity.
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Zhang, C., Wang, Z. Analysis of spatiotemporal difference and driving factors of green total factor energy efficiency in RCEP members: insights from SBM-GML and Tobit models. Environ Sci Pollut Res 30, 15623–15640 (2023). https://doi.org/10.1007/s11356-022-23270-8
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DOI: https://doi.org/10.1007/s11356-022-23270-8