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February 12, 2026Environment Development and Sustainability0 citationsOpen Access

Determinants of global green growth efficiency and productivity: a comprehensive three stages data envelopment analysis

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TNThanh NgoUniversity of Economics Ho Chi Minh CityTLTu LeVietnam National University Ho Chi Minh CityHTHai Hong TrinhVinUniversity

Key Points

  • To explore the determinants of green growth efficiency across 115 countries from 1996 to 2018 while accounting for undesirable outputs.
  • Conducted a three-stage data envelopment analysis (DEA).
  • Evaluated various methods for handling CO2 emissions and natural depletions as undesirable outputs.
  • Utilized a double bootstrap slack-based measure in the second stage.
  • Found higher explanatory power using reciprocal values for undesirable outputs.
  • Identified that improved governance quality positively affects green growth efficiency.
  • Examined changes in green growth efficiency and productivity over the specified time period.

Abstract

Abstract This is the first study on green growth (GG) efficiency from a global perspective (115 countries from 1996 to 2018) that considers natural depletions, alongside CO 2 emissions, as undesirable outputs of the GG efficiency estimation in the first stage. More importantly, by examining different ways to treat those undesirable outputs and in combination with the double bootstrap slack-based measure data envelopment analysis approach in the second stage, we found that the models that use the reciprocal values of the undesirable outputs have higher explanatory power than the others. Consequently, in the third stage, we examine the GG efficiency and productivity change over time of the sampled countries using the model with reciprocal values. The study finds that countries with better governance quality, among other factors, can positively improve their green growth efficiency.

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Cite This Study

Ngo et al. (2026) studied this question.

synapsesocial.com/papers/698d6e6e5be6419ac0d54147https://doi.org/10.1007/s10668-026-07315-3
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