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The dynamics effect of green technology innovation on economic growth and CO2 emission in Singapore: new evidence from bootstrap ARDL approach

Abstract

For an economy to excel in growth, there is usually a trade-off between financial development and environment deterioration. For a country like Singapore, which has shown a radical growth and is known for its population density, it is important to explore the role of green technology innovation in the pursuit of economic excellence with the least possible cost to the environment. By employing the novel bootstrap autoregressive-distributed lag (BARDL) technique using a time series data from 1990 to 2018, the results reported a positive and significant relationship of green technology innovation with economic growth and negative and significant relationship with carbon emissions in both long run and short run. Based on the findings, several managerial implications were discussed, whereas based on the limitations, directions for future researchers are also given.

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Funding

This study was funded by “Guizhou University introduction of talent research project” No: guida renji (2019) 018 (humanities and social sciences). Project tile: Research on the internal incentive mechanism of green innovation in traditional industries based on new normal of economy.

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Tang Meirun: conceptualization, writing—original draft

Leonardus WW Mihardjo: writing methodology and data analysis

Muhammad Haseeb: writing—original draft

Syed Abdul Rehman Khan: supervision, formal analysis

Kittisak Jermsittiparsert: writing—review and editing

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Correspondence to Kittisak Jermsittiparsert.

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Meirun, T., Mihardjo, L.W., Haseeb, M. et al. The dynamics effect of green technology innovation on economic growth and CO2 emission in Singapore: new evidence from bootstrap ARDL approach. Environ Sci Pollut Res 28, 4184–4194 (2021). https://doi.org/10.1007/s11356-020-10760-w

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  • DOI: https://doi.org/10.1007/s11356-020-10760-w

Keywords

  • Green technology
  • Economic growth
  • CO2 emission
  • Singapore
  • Bootstrap ARDL
  • STIRPAT