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Environmental protection via optimal global economic restructuring.

MethodsXยท2019
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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.

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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.