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Can biomass energy curtail environmental pollution? A quantum model approach to Germany
- Source :
- Journal of Environmental Management. 287:112293
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- This paper aims to investigate the causal relationship amongrenewable energy technologies,biomass energyconsumption, per capita GDP, and CO2emissions for Germany. We constructed an innovative algorithm, the Quantum model, and applied it with Machine Learning experiments – through a software capable of emulating aquantum system– to data over the period of 1990–2018. This process is possible after eliminating the “irreversibility” of classical computations (unitary transformations) by making the process “reversible”. The empirical findings support the powerful role of biomass energy in reducingcarbon dioxide emissions, although the effect of renewable energy technology displays a much stronger magnitude. Moreover, income remains an important determinant of environmental pollution in Germany.
- Subjects :
- Environmental Engineering
Process (engineering)
0208 environmental biotechnology
Biomass
Environmental pollution
Carbon emission
02 engineering and technology
010501 environmental sciences
Management, Monitoring, Policy and Law
01 natural sciences
Gross domestic product
Germany
Machine learning
Quantum system
Renewable Energy
Waste Management and Disposal
Carbon emissions
0105 earth and related environmental sciences
business.industry
Biomass energy
General Medicine
Energy consumption
Carbon Dioxide
Environmental economics
020801 environmental engineering
Renewable energy
Greenhouse gas
Environmental science
Economic Development
Environmental Pollution
business
Subjects
Details
- ISSN :
- 03014797
- Volume :
- 287
- Database :
- OpenAIRE
- Journal :
- Journal of Environmental Management
- Accession number :
- edsair.doi.dedup.....0569fa7fd4004635ffacfe289115e36c