An Analysis on Determinants of Energy Intensity in ASEAN Countries

Fitriyanto, Fajar; Iskandar, Deden Dinar

doi:10.17977/um002v11i12019p090

Cited by 13 publications

(8 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, Wang and Han (2017) found the energy-intensity reducing effect of income on China's energy intensity, and Filipovic et al (2015) found the same for EU countries. The works of Belloumi and Alshehry (2018), Salim et al (2017), Fitriyanto and Iskandar (2019) and Chan et al (2019) obtained similar outcomes. However, Jones (1989Jones ( , 1991 reported income has a positive effect on energy intensity.…”

Section: Brief Literature Reviewmentioning

confidence: 54%

See 1 more Smart Citation

Energy intensity among European Union countries: the role of renewable energy, income and trade

Gyamfi

Kwakwa²,

Adebayo³

2022

IJESM

View full text Add to dashboard Cite

Purpose The International Energy Agency states that the global energy intensity must reduce by 2.9% yearly before attaining Sustainable Development Goal 7.3 by 2030. However, the European Union (EU) seeking to attain a climate-neutral EU by 2050 shall require a substantial rate of reducing energy intensity. Consequently, this study aims to investigate how (clean) renewable energy, income, trade openness, technological innovation and nonrenewable energy consumption impact energy intensity for the EU countries. Design/methodology/approach The quantile regression, augmented mean group and causality techniques were used for analyses. Panel data for 26 EU nations over the 1990 and 2019 period was used. Findings The empirical evidence indicates that the variables have long-run equilibrium relationships. However, the analysis revealed that clean energy and income reduce energy intensity whiles trade, technological innovation and nonrenewable energy consumption increase energy intensity. An interactive term analysis shows that renewable energy and trade interact to reduce further, the negative effect of income on energy intensity. Causality results revealed a feedback connection between energy intensity and clean energy, income, trade liberalization as well as the interaction between income and trade liberalization. A one-way causality was obtained between energy intensity and technological innovation, nonrenewable energy consumption and the interaction between clean energy and income. Practical implications The results imply that EU countries stand to gain if more resources are committed to encouraging the production and consumption of cleaner/renewable energy. Advancement in policies that support renewable energy and facilitate green growth will help reduce energy intensity for the region. Trade policies that promote lower energy consumption should be strengthened. Originality/value The effect of renewable energy on energy intensity is assessed. The moderating impact of renewable energy and trade openness on the income–energy intensity relationship for the EU countries is examined. Moreover, this study uses the quantile estimation technique to assess the nonlinear effect of the explanatory variables on energy intensity.

show abstract

Section: Brief Literature Reviewmentioning

confidence: 54%

“…A threshold analysis by Yu et al (2022) provided mixed evidence regarding the effect of trade openness. For a group of ASEAN countries, Fitriyanto and Iskandar (2019) found trade openness increases energy intensity. Kwakwa and Adusah-Poku (2019) found trade openness reduces energy intensity in the South.…”

Section: Brief Literature Reviewmentioning

confidence: 99%

Energy intensity among European Union countries: the role of renewable energy, income and trade

Gyamfi

Kwakwa²,

Adebayo³

2022

IJESM

View full text Add to dashboard Cite

show abstract

“…Based on research [6] stating that GDP has a negative relationship with energy intensity according to the Kuznets curve hypothesis, there is a non-linear (quadratic) relationship between energy intensity and GDP per capita. These results are supported by findings from various countries such as in the European Union in the study [7] that GDP has a significant negative impact on energy intensity.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Factors Influencing Energy Intensity in G20 Countries

Sari,

Gunarto,

Nirmala

et al. 2023

AJEBA

View full text Add to dashboard Cite

Aims: The purpose of this study is to analyze the impact of Gross Domestic Product (GDP), Industry Value Added (IVA), Urban Population (UP), Trade, and Foreign Direct Investment (FDI) on Energy Intensity in G20 countries. Study Design: This research used a quantitative descriptive method using panel data analysis. Place and Duration of Study: The scope of this research extends to G20 member countries such as Argentina, Brazil, Canada, China, Germany, European Union, France, United Kingdom, Indonesia, India, Italy, Japan, Korea, Mexico, Rusia, Saudi Arabia, Turki, United States, and South Africa, between 1990-2021. Methodology: This research uses descriptive method combined with panel data analysis, analyze determine of GDP, IVA, UP, Trade, and FDI on Energy Intensity in G20 countries. Furthermore, the data uses is secondary data that has a regression model on panel data from 1990-2021. Results: The result of this research show that IVA has a positive relationship and has a significant effect on increasing energy intensity in G20 countries. GDP, Trade and UP variables have a negative relationship and have a significant effect on Energy Intensity in G20 countries. Meanwhile, the FDI variable has no significant effect on Energy Intensity in G20 countries. Conclusion: Based on research result, Energy Intensity in G20 countries is influenced by various factors, The IVA factor has a positive and significant relationship with energy intensity, can be utilized to increase productivity and economic growth, but need to be balanced with effort to increase energy efficiency. While the GDP, Trade and Urban Population factors have a negative and significant relationship to energy intensity. However, FDI does not have a significant effect on energy intensity in G20 countries. The government should consider policies to reduce dependence on intensive energy, especially in sector that have a negative relation with energy intensity such as GDP, trade and urban population.

show abstract

“…These regulations and other forcing factors, such as energy price increases, have decreased energy intensity, as shown in Figure 3. Final energy intensity decreased, on average, by 2.8% per year from 2010 to 2017, exceeding the target of 1% per year (GOI 2014); as a result, Indonesia is ranked as having the third-lowest energy intensity among ASEAN members (Fitriyanto and Iskandar 2019). Successful pilot projects were then adapted to other municipalities, so the average electricity consumption of a streetlight system reduced from 20,589 kWh/year to 14,549 kWh/year, as shown in Figure 4.…”

Section: Policy Challenges In Indonesiamentioning

confidence: 93%

Financing of Energy Efficiency in Public Goods: The Case of Street Lighting Systems in Indonesia

Irsyad

Anggono

Nepal

et al. 2021

Economics, Law, and Institutions in Asia Pacific

View full text Add to dashboard Cite

The views expressed in this paper are the views of the author and do not necessarily reflect the views or policies of ADBI, ADB, its Board of Directors, or the governments they represent. ADBI does not guarantee the accuracy of the data included in this paper and accepts no responsibility for any consequences of their use. Terminology used may not necessarily be consistent with ADB official terms.Working papers are subject to formal revision and correction before they are finalized and considered published.

show abstract

An Analysis on Determinants of Energy Intensity in ASEAN Countries

Cited by 13 publications

References 16 publications

Energy intensity among European Union countries: the role of renewable energy, income and trade

Energy intensity among European Union countries: the role of renewable energy, income and trade

Analysis of Factors Influencing Energy Intensity in G20 Countries

Financing of Energy Efficiency in Public Goods: The Case of Street Lighting Systems in Indonesia

Contact Info

Product

Resources

About