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Related Experiment Videos

An ANN experiment on the Indian economy: can the change in pollution generate an increase or decrease in GDP

Marco Mele1, Luciano Nieddu2, Cristiana Abbafati3

  • 1University of Teramo, Teramo, Italy. mmele@unite.it.

Environmental Science and Pollution Research International
|March 7, 2021
PubMed
Summary

Economic growth and pollution have a bidirectional relationship. In India, changes in pollution predict economic growth acceleration 76% of the time, according to a deep neural network analysis.

Keywords:
Artificial neural networkGDPIndiaJapanPollution

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Area of Science:

  • Environmental Economics
  • Sustainable Development Studies
  • Econometrics

Background:

  • Sustainable development links economic growth with environmental concerns.
  • Econometric and statistical models reveal a two-way relationship between economic growth and pollution.
  • Previous research highlights the interconnectedness of economic progress and environmental impact.

Purpose of the Study:

  • To assess if changes in pollution levels in India influence Gross Domestic Product (GDP) acceleration.
  • To utilize Machine Learning for analyzing the economic-environmental relationship in India.
  • To compare findings with a developed nation, Japan, for novel insights.

Main Methods:

  • Employed Machine Learning, specifically artificial neural network analysis.
  • Utilized data from the World Bank database spanning 1971-2014 for India.
  • Developed a predictive model comparing India's economic-environmental dynamics with Japan's.

Main Results:

  • A deep neural network model successfully predicted the relationship between pollution and GDP acceleration.
  • Empirical findings indicate that 76% of the time, pollution changes in India correlate with changes in economic growth acceleration.
  • The study established a significant predictive link between environmental factors and economic performance in India.

Conclusions:

  • Pollution changes are a significant predictor of economic growth acceleration in India.
  • The Machine Learning approach provides a robust method for analyzing complex economic-environmental interactions.
  • Comparative analysis with Japan offers a unique perspective on India's development trajectory.