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I am a Masters student in Mechanical Engineering in De La Salle University, Philippines. My research interests include robotics, mechatronics, fluid mechanics, and renewable energy.
The Southeast Asian region is one of the most vulnerable to climate change given its geographical location and economic situation. This study aims to conduct a combination of spatial and temporal analyses in order to understand differences between member nations in terms of driving factors to changing emissions. The logarithmic mean Divisia index (LMDI) method was used in order to estimate carbon dioxide emissions due to population, economic activity, economic structure, and energy intensity effects from the year 1990 to 2018. In conducting the study, spatial analysis showed that Singapore was the only country to effectively lessen carbon emissions, due to population and energy intensity, in comparison to the others. Additionally, temporal analysis showed that the ASEAN initially developed at the same rate, before countries such as Singapore, Malaysia, and Thailand, started becoming more economically active, as shown by their economic activity. Finally, results have shown that some countries, especially the Philippines and Indonesia, have undergone significant changes in economic structure, which significantly affected carbon emissions. The results also highlight the increasing per capita emissions as income levels rise. The paper concludes by presenting a summary of the findings and some policy recommendations.
Edwin Lisaba; Neil Lopez. Spatiotemporal Comparison of Drivers to CO2 Emissions in ASEAN: A Decomposition Study. Sustainability 2021, 13, 6183 .
AMA StyleEdwin Lisaba, Neil Lopez. Spatiotemporal Comparison of Drivers to CO2 Emissions in ASEAN: A Decomposition Study. Sustainability. 2021; 13 (11):6183.
Chicago/Turabian StyleEdwin Lisaba; Neil Lopez. 2021. "Spatiotemporal Comparison of Drivers to CO2 Emissions in ASEAN: A Decomposition Study." Sustainability 13, no. 11: 6183.
The ASEAN is currently trying to mitigate the amount of CO2 emissions per country. This is not only to contribute to the worldwide goal of lessening greenhouse gases, but to also ensure the safety of its member states by combatting the effects of climate change. The effects as stated by the IPCC, such as rising water levels, rising ambient temperature, and an increase in the frequency of tropical storms, can greatly endanger members of the ASEAN. It must be noted that a majority of its members are archipelagic, have areas of extreme poverty, and rely on agriculture for production. Therefore, the temporal logarithmic mean Divisia index (LMDI) has been conducted in order to determine the possible drivers that cause the changes in CO2 emissions per year for all ASEAN member countries. The drivers of CO2 were divided into the population, economic activity, energy intensity, and energy structure effects. CO2 emissions per fuel type were calculated using their respective emission factors. Knowing which drivers constitute the most CO2 emissions in a country would help pinpoint which areas could be worked on. It was found that Indonesia, Brunei Darussalam, and Lao PDR had the most impressive decrease in CO2 emissions due to energy intensity and structure effects. A majority of the other countries have either stayed constant or even increased CO2 emission output per year from each effect. Therefore, general policies based on the success of these countries that could be applied for each member country are recommended in this study.
E B Lisaba; N S Lopez. Using Logarithmic Mean Divisia Index method (LMDI) to estimate drivers to final energy consumption and emissions in ASEAN. IOP Conference Series: Materials Science and Engineering 2021, 1109, 012070 .
AMA StyleE B Lisaba, N S Lopez. Using Logarithmic Mean Divisia Index method (LMDI) to estimate drivers to final energy consumption and emissions in ASEAN. IOP Conference Series: Materials Science and Engineering. 2021; 1109 (1):012070.
Chicago/Turabian StyleE B Lisaba; N S Lopez. 2021. "Using Logarithmic Mean Divisia Index method (LMDI) to estimate drivers to final energy consumption and emissions in ASEAN." IOP Conference Series: Materials Science and Engineering 1109, no. 1: 012070.