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Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
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R program for estimation of group efficiency and finding its gradient. Stochastic data envelopment analysis with a
1City University of New York, Hostos Community College, USA.
Data in Brief
|September 20, 2018
Summary
This study introduces an R program for optimizing global economic restructuring to enhance energy-environmental efficiency. It aids policy-making for climate change prevention and atmosphere preservation.
Area of Science:
- Environmental Economics
- Computational Economics
- Sustainable Development
Background:
- Global economic activities face increasing energy and environmental pressures.
- Policy decisions for climate change mitigation require robust analytical tools.
- Assessing and improving energy-environmental efficiency is crucial for sustainable growth.
Purpose of the Study:
- To present a computational tool for analyzing global economic restructuring.
- To implement a novel approach for enhancing energy-environmental efficiency.
- To support policy-making for atmosphere preservation and climate change prevention.
Main Methods:
- Utilizing stochastic data envelopment analysis with a perfect object (SDAEA PO).
- Calculating group efficiency, efficiency gradient, and projected gradient.
- Employing R language for program implementation with sample input/output files.
Main Results:
- The program assesses the energy-environmental efficiency of the global economy.
- It identifies pathways for maximizing efficiency through economic restructuring.
- Demonstrates the application of SDAEA PO for economic and environmental policy analysis.
Conclusions:
- The developed R program provides a practical tool for optimizing economic structures.
- The approach supports data-driven policy decisions for environmental sustainability.
- Economic restructuring can enhance efficiency while maintaining growth potential.
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