3896. Determinants of Energy Efficiency in Developing Regions: An Empirical Analysis using MARS and CMARS
Invited abstract in session OR for Societal Development, stream OR for Development.
Authors (first author is the speaker)
| 1. | Jinal Parikh
|
| Technology, Operations & Decision Sciences, Amrut Mody School of Management, Ahmedabad University | |
| 2. | Gerhard-Wilhelm Weber
|
| Faculty of Engineering Management, Poznan University of Technology | |
| 3. | YAVUZ YILMAZ
|
| Technical Solutions, SOLASTRON |
Abstract
This study investigates the determinants of energy efficiency, reveals nonlinear responses and critical thresholds, and uncovers regional patterns across states by applying Multivariate Adaptive Regression Splines (MARS) to explain the TFEE scores obtained from SBM-DEA. TFEE serves as the dependent variable, while a set of economic, environmental, structural, and exogenous factors, including energy consumption, capital, labour, GSDP, GHG emissions, industrial structure indicators, energy system characteristics, climate variables, spatial coordinates and time effects are independent variables.
Keywords
- Developing Countries
- Applications, Energy
- Data Science
Status: accepted
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