Version 1
: Received: 29 October 2024 / Approved: 29 October 2024 / Online: 29 October 2024 (16:25:41 CET)
How to cite:
Lai, L.; Qiao, Y. Effects of Primary Energy Consumption and Alternative Energy Patents on CO2 Emissions in China using Canonical Correlation Analysis. Preprints2024, 2024102343. https://doi.org/10.20944/preprints202410.2343.v1
Lai, L.; Qiao, Y. Effects of Primary Energy Consumption and Alternative Energy Patents on CO2 Emissions in China using Canonical Correlation Analysis. Preprints 2024, 2024102343. https://doi.org/10.20944/preprints202410.2343.v1
Lai, L.; Qiao, Y. Effects of Primary Energy Consumption and Alternative Energy Patents on CO2 Emissions in China using Canonical Correlation Analysis. Preprints2024, 2024102343. https://doi.org/10.20944/preprints202410.2343.v1
APA Style
Lai, L., & Qiao, Y. (2024). Effects of Primary Energy Consumption and Alternative Energy Patents on CO2 Emissions in China using Canonical Correlation Analysis. Preprints. https://doi.org/10.20944/preprints202410.2343.v1
Chicago/Turabian Style
Lai, L. and Yongzhong Qiao. 2024 "Effects of Primary Energy Consumption and Alternative Energy Patents on CO2 Emissions in China using Canonical Correlation Analysis" Preprints. https://doi.org/10.20944/preprints202410.2343.v1
Abstract
This study analyzes the effects of primary energy consumption and alternative energy patents on CO2 emission intensity and CO2 emissions per capita, and their relationship using canonical correlation analysis. Our results are as follows. First, CO2 emissions from natural gas and liquefied petroleum gas have positive effects, while CO2 emissions from gasoline, fuel oil, diesel, and kerosene have negative effects on CO2 emission intensity. Second, patents for devices for producing mechanical power from muscle energy have large positive effects. Finally, the more the patents use waste heat, geothermal energy, hydro energy, and wind energy, the higher the CO2 emissions from liquefied petroleum gas, gasoline, and crude oil and the lower the CO2 emissions from diesel, which are conducive to controlling CO2 emissions. Therefore, energy policies will be more effective based on the CO2 “emissions” level from primary energy consumption and the “control” degree of CO2 emissions by alternative energy.
Keywords
CO2 emissions; Primary energy consumption; Alternative energy patent; Multiple linear regression; Canonical correlation analysis
Subject
Environmental and Earth Sciences, Sustainable Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
