Sustainable energy and CO 2 reduction policy in Thailand: An input–output approach from production- and consumption-based perspectives

Supasa, Tharinya; Hsiau, Shu San; Lin, Shih Mo; Wongsapai, Wongkot; Chang, Kuei Feng; Wu, Jiunn Chi

doi:10.1016/j.esd.2017.08.006

Cited by 16 publications

(8 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar findings also find by Supasa et al (2017). They studied using the consumption-based approach finds that the manufacturing, commercial, construction and road transport sectors were leading of CO2 emitters in Thailand.…”

Section: Literature Reviewsupporting

confidence: 70%

Sectoral Energy-CO2 Emissions Using an Environmental Input-Output Framework

Harun

Ahmad

Sulaiman

et al. 2021

IJBS

View full text Add to dashboard Cite

Global climate change is an alarming problem nowadays. Weather temperatures have been uncertain because of what many scientists claim is the effect of greenhouse gases, contributed mainly by the energy industry. In Malaysia, the energy industry provides a significant contribution to it economy making up about 20 percent of the GDP. Malaysia is the third largest natural gas exporter in the Asia-Pacific region in 2011 and eleventh in the world (British Petroleum Statistical Review of World Energy, 2014). Malaysia's CO2 emission recorded at 185 million tonnes in 2010 (International Energy Agency, 2012). Mohd Safaai et al. (2011) projected that without any mitigation measures 285.73 million tonnes of CO2 will be released in 2020. In the Copenhagen forum 2009, Malaysia has pledged to reduce 40% of carbon emissions by 2020 compared to the 2005 levels. Motivated by the government efforts, this study will construct environmentally extended input-output framework for Malaysia to obtain the energy-related CO2 emission intensities by sectors. The study is responded to the inadequate of reliable data on Malaysia’s sectoral CO2 emissions and to the growing awareness of the effectiveness of Malaysia climate change policies. This study expanding the current understanding of interactions among economic activities, energy intensities, and CO2 emissions. Results of this study found that Transportation recorded the second highest contributor to CO2 emission, and these findings were different to many other existing studies that found transportation sector as a main contributor to CO2 emission. In addition, results suggest that it is necessary to control environmental problems and encourage the energy use efficiency in the production process, particularly in the Building and construction sector, Transportation, Electricity, gas and water and Agriculture sector in Malaysia The findings will help the policy-makers particularly in Malaysia to develop a strategic plan and tools to manage CO2 emission with respect to climate change in these four sectors.

show abstract

Section: Literature Reviewsupporting

confidence: 70%

Sectoral Energy-CO2 Emissions Using an Environmental Input-Output Framework

Harun

Ahmad

Sulaiman

et al. 2021

IJBS

View full text Add to dashboard Cite

show abstract

“…Wang et al [7] employed IO analysis to investigate the embodied energy in the sub-process order of supply chains. Supasa et al [8] applied an energy IO model using data for Thailand in 2000 and 2010, which permitted the identification of the nation's embodied energy and CO 2 inventory and an analysis of structural changes over a 10-year period. Using China's interregional IO tables and the corresponding carbon emission data for 2007 and 2010, Xie et al [9] proposed an interregional Ghosh IO model and estimated the amount of interprovincial carbon emission transfer from the supply-side perspective.…”

Section: The Measurement Of Carbon Emissionmentioning

confidence: 99%

Provincial Carbon Emissions Efficiency and Its Influencing Factors in China

et al. 2019

View full text Add to dashboard Cite

We calculated provincial carbon emissions efficiency and related influencing factors in China with the purpose of providing a reference for other developing countries to develop a green economy. Using panel data covering the period from 2004–2016 from 30 provinces in China, we calculated the carbon emission performance (CEP) and the technology gap ratio of carbon emission (TGR) with the data envelopment analysis (DEA) method and the meta-frontier model separately to analyze provincial carbon emissions efficiency in China. No matter which indicator was employed, we found that distinct differences exist in the eastern, the central, and the western regions of China, and the eastern region has the highest carbon emission performance, followed by the central and the western regions. Then, the panel data Tobit regression model was employed to analyze the influencing factors of carbon emissions efficiency, and we found that scale economy, industrial structure, degree of opening up, foreign direct investment (FDI), energy intensity, government interference, ownership structure, and capital-labor ratio have different impacts on the carbon emission efficiency in different regions of China, which indicates different policies should be implemented in different regions.

show abstract

“…Desire to meet the carbon neutrality goal has resulted in unprecedented international collaboration from citizens, academicians, industry leaders, and government officials. Ideally, all sources of electricity would be stable, economical, and environmentally friendly [3]. In recent years, researchers worldwide have developed or refined breakthrough technologies that may make it possible to meet the world's energy needs; some examples of these technologies include solar photovoltaic energy, wind energy, ocean thermal energy [4][5][6][7][8], hydrogen fuel cells, and energy storage [ES] technologies.…”

Section: ⅰ Introductionmentioning

confidence: 99%

Practical Model for Optimal Carbon Control With Distributed Energy Resources

Jin³

2021

IEEE Access

View full text Add to dashboard Cite

The generation, consumption, and transmission of distributed energy produced by a microgrid are becoming increasingly important topics in scientific research. As a power source that partly relies on renewable energy, microgrids play a vital role in the global energy network. In this study, the underlying principles and management techniques of microgrids are introduced. Microgrids can reduce the carbon footprint of the energy production process. This study also provides insight into how decision-makers can confidently mitigate the uncertainties inherent in this kind of renewable energy system by proposing an optimization algorithm for microgrid energy management. By investigating several commercial microgrid cases, a mathematical model that allows the user to arrive at the optimal trade-off between energy generation and carbon production in a given scenario is created. Careful analysis of energy transactions and distributed energy sources indicates that energy blockchain technology is a valuable asset for expanding the use of clean energies, reducing carbon emissions in power and optimizing microgrid power management. Finally, the challenges of microgrid energy management and potential transaction models for the energy blockchain are discussed.

show abstract

Sustainable energy and CO 2 reduction policy in Thailand: An input–output approach from production- and consumption-based perspectives

Cited by 16 publications

References 22 publications

Sectoral Energy-CO2 Emissions Using an Environmental Input-Output Framework

Sectoral Energy-CO2 Emissions Using an Environmental Input-Output Framework

Provincial Carbon Emissions Efficiency and Its Influencing Factors in China

Practical Model for Optimal Carbon Control With Distributed Energy Resources

Contact Info

Product

Resources

About