Abstract:This research is motivated by the high level of carbon emission due to the dominance of non-renewable energy consumption in the use of the energy mix. This study aims to fill the gaps in previous research to support global programs in reducing carbon emission by designing scenario through a shift in consumption of non-renewable energy (fuel oil) to renewable energy (biofuel oil) in the Asia Pacific for future periods, including 2023-2030. The basic foundation of this research is the result of panel regression … Show more
“…This study's results are further confirmed by the findings of Mukhtarov et al (2023), who provide empirical evidence of a significantly negative long-term impact of renewable energy consumption on CO 2 emissions. Similar results can be found in earlier studies for different regions, such as (Rahman et al, 2022) in advanced economies, (Bhattacharya et al, 2017) in both advanced and developing nations, (Aimon et al, 2023)in the Asia-Pacific region, (Aziz et al, 2021) in MINT countries, and (Leitão et al, 2021) in BRICS nations. Additionally, the findings of Shaari et al (2020) strengthen the argument that the use of renewable energy can effectively reduce CO 2 emissions, especially in lower-middleincome countries.…”
Section: Renewable Energy Consumption and Co 2 Emissionssupporting
confidence: 90%
“…Employing the pooled mean group method, their study found that renewable energy consumption generally leads to reductions in CO2 emissions in the short and long term. These findings are also corroborated by the study conducted by (Aimon et al, 2023) in the Asia-Pacific context. The key takeaway from their research is that renewable energy consumption and green economic growth can mitigate CO2 emissions, while non-renewable energy consumption tends to increase CO2 emissions.…”
This study aims to identify the relationship between economic growth, renewable energy, and industrial value added to CO2 emissions in ASEAN. The data used is panel data of 10 ASEAN countries from 2001-2020. This study uses the vector error correction model (VECM) for analysis. The estimation results show that CO2 emissions are only influenced by the CO2 variable itself in the previous period in the short term. In addition, economic growth and renewable energy significantly negatively affect CO2 emissions in the long term. Economic growth has the largest contribution to reducing CO2 emissions. The empirical findings also support the existence of the environmental Kuznets curve (EKC) in ASEAN. However, industrial value added has no significant effect on CO2 emissions. This study has several policy implications. The government needs to 1) strengthen energy transition regulations to encourage the use of renewable energy, 2) increase investment in RD to stimulate green technology innovation, and 3) protect the environment to mitigate negative externalities of economic activity.
“…This study's results are further confirmed by the findings of Mukhtarov et al (2023), who provide empirical evidence of a significantly negative long-term impact of renewable energy consumption on CO 2 emissions. Similar results can be found in earlier studies for different regions, such as (Rahman et al, 2022) in advanced economies, (Bhattacharya et al, 2017) in both advanced and developing nations, (Aimon et al, 2023)in the Asia-Pacific region, (Aziz et al, 2021) in MINT countries, and (Leitão et al, 2021) in BRICS nations. Additionally, the findings of Shaari et al (2020) strengthen the argument that the use of renewable energy can effectively reduce CO 2 emissions, especially in lower-middleincome countries.…”
Section: Renewable Energy Consumption and Co 2 Emissionssupporting
confidence: 90%
“…Employing the pooled mean group method, their study found that renewable energy consumption generally leads to reductions in CO2 emissions in the short and long term. These findings are also corroborated by the study conducted by (Aimon et al, 2023) in the Asia-Pacific context. The key takeaway from their research is that renewable energy consumption and green economic growth can mitigate CO2 emissions, while non-renewable energy consumption tends to increase CO2 emissions.…”
This study aims to identify the relationship between economic growth, renewable energy, and industrial value added to CO2 emissions in ASEAN. The data used is panel data of 10 ASEAN countries from 2001-2020. This study uses the vector error correction model (VECM) for analysis. The estimation results show that CO2 emissions are only influenced by the CO2 variable itself in the previous period in the short term. In addition, economic growth and renewable energy significantly negatively affect CO2 emissions in the long term. Economic growth has the largest contribution to reducing CO2 emissions. The empirical findings also support the existence of the environmental Kuznets curve (EKC) in ASEAN. However, industrial value added has no significant effect on CO2 emissions. This study has several policy implications. The government needs to 1) strengthen energy transition regulations to encourage the use of renewable energy, 2) increase investment in RD to stimulate green technology innovation, and 3) protect the environment to mitigate negative externalities of economic activity.
“…Moreover, reliance on renewable energy prevented resource depletion, mitigating the need for extraction and mining activities. This result was in line with [9,63,64], showing the crucial role of renewable energy consumption in mitigating environmental degradation.…”
Section: Analysis Of Environmental Degradationsupporting
This study aimed to foster sustainable prosperity in lower middle-income economies in ASEAN, comprising Indonesia, Cambodia, Vietnam, the Philippines, and Laos. It also investigated the relationship between income inequality and environmental degradation from 2010 to 2022. A simultaneous equation approach was applied in the study, with consideration given to two endogenous variables (income inequality and environmental degradation) and several exogenous variables (unemployment, corruption, human capital, industry, renewable energy consumption, and poverty). The results showed that environmental degradation significantly impacted income inequality by 0.53%, while income inequality influenced environmental degradation by 0.16%. Income inequality was enhanced by unemployment and alleviated by human capital. In addition, environmental degradation was enhanced by industry and poverty, but mitigated by renewable energy consumption. This study recommended that the government address environmental degradation and unemployment while improving human capital to mitigate income inequality. It was also crucial to control industrial activities, promote renewable energy usage, and reduce poverty to enhance environmental sustainability and resilience.
“…On the other hand, the empirical phenomenon regarding this study, if traced from previous literature, shows that there are several main gaps in previous research, including Aimon et al (2023) conducted a literature review on the topic of modeling ecological relationships and POV from 4335 publications for the period 1981-2017, which found that ecological degradation and POV are interrelated and must be addressed simultaneously. In addition, Saputri & Pratama (2021) investigated financial inclusion, EG, and POV in eastern Indonesia during the 2010-2016 period by using bivariate vector autoregression, which found a strong relationship between these three variables.…”
This study explores the interrelations among environmental quality (EQ), poverty (POV), and green growth (GG) across 34 provinces in Indonesia from 2015 to 2023, employing a simultaneous equation model (SEM) to address the gap in prior research which often overlooked the concurrent analysis of these variables. It was found that POV exerts a significant negative impact on EQ, quantified at a reduction of 0.235 percent. Conversely, GG contributes positively to EQ, enhancing it by 0.197 percent. The findings underscore the necessity for policies that integrate environmental, social, and economic considerations, advocating for inclusive and sustainable development strategies. These strategies are pivotal for fostering economic opportunities that enhance community welfare while ensuring environmental sustainability. The study concludes that a nuanced understanding of the relationships between these endogenous factors is crucial for effective policy formulation, highlighting the need for a balanced approach that harmonizes developmental objectives with environmental stewardship.
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