The driving factors of energy-related CO2 emission growth in Malaysia: The LMDI decomposition method based on energy allocation analysis

Chong, Chinhao; Tan, Wenan; Ting, Zhao; Liu, Pei; Ma, Linwei; Li, Zheng; Ni, Weidou

doi:10.1016/j.rser.2019.109356

Cited by 113 publications

(39 citation statements)

References 54 publications

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“…Chong et al . (2019) find that population, GDP per capita, energy intensity, the electricity ratio of the end‐use sector, and the fuel‐mix of electricity generation are factors influencing the changes of energy‐related CO 2 emissions in Malaysia. The government passed a renewable energy act and sustainable energy development authority act in 2011 to help achieve a 20% renewable energy capacity mix by 2025 (Sustainable Energy Development Authority, 2016).…”

Section: Empirical Results and Discussionmentioning

confidence: 99%

Total‐Factor Energy and Emission Efficiencies of ASEAN and Other Asian Economies

Honma

Chen

2020

Asian Economic Policy Review

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This research uses the slack‐based measure data envelopment analysis to compute the energy and emission efficiencies of Association of Southeast Asian Nations (ASEAN) and other Asian economies during the 2001–2017 period, employs the Malmquist productivity index to check for the main source of efficiency score changes due to technical changes, and then applies panel Tobit regressions to determine the factors explaining the efficiencies. Our empirical results show that the energy efficiency scores of ASEAN economies had been catching up to other Asian economies after the Global Financial Crisis, whereas the emission efficiency scores of various ASEAN economies had been falling behind other Asian economies over the same period. The main source of efficiency score changes over time is efficiency changes and not technical changes. Decreases in the fossil fuel ratio of net electricity generation and the secondary industry ratio within total industry improve both lead to improvements in energy and emission efficiencies.

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Section: Empirical Results and Discussionmentioning

confidence: 99%

Total‐Factor Energy and Emission Efficiencies of ASEAN and Other Asian Economies

Honma

Chen

2020

Asian Economic Policy Review

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“…Studies on the sources of the change in the amount of CO 2 emissions for developing countries are scarce. There are, for example, Chong et al [29] for Malaysia; Qi et al [30], Lv et al [31], Xu et al [32], Ning et al [33] and Wang et al [34] for China; Sheinbaum et al [35] for Latin American countries; and Charlita de Freitas and Kaneko [36] for Brazil. Most of these studies conclude that both economic activity and structural change play a dominant role in the change of CO 2 emissions at the economy-wide level.…”

Section: Literature Review and Contributionmentioning

confidence: 99%

Decomposition Analysis of the Carbon Emissions of the Manufacturing and Industrial Sector in Thailand

2020

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Since the 1990s, CO2 emissions have increased steadily in line with the growth of production and the use of energy in the manufacturing sector in Thailand. The Logarithmic Mean Divisia Index Method is used for analysing the sources of changes in CO2 emissions as well as the CO2 emission intensity of the sector in 2000–2018. On average throughout the period, both the amount of CO2 emissions and the CO2 emission intensity increased each year relative to the baseline. The structural change effect (effect of changes of manufacturing production composition) reduced, but the intensity effect (effect of changes of CO2 emissions of individual industries) increased the amount of CO2 emissions and the CO2 emission intensity. The unfavourable CO2 emission intensity change came from the increased energy intensity of individual industries. The increased use of coal and electricity raised the CO2 emissions, whereas the insignificant change in emission factors showed little impact. Therefore, the study calls for policies that decrease the energy intensity of each industry by limiting the use of coal and reducing the electricity used by the manufacturing sector so that Thailand can make a positive contribution to the international community’s effort to achieve the goal of CO2 emissions reduction.

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“…The GLM yield sturdy and useful tool to estimate in a regression and estimated variables are not sternly exogenous, autocorrelation and heteroscedasticity within exist. (Chong et al 2019, Hosseini et al 2019. The GLM is applied on individual group to analyze the impact of explanatory variable in each group on CO2 emission.…”

Section: Generalized Liner Models (Glms)mentioning

confidence: 99%

Effects of Energy Consumption of Top 24 Polluted Countries on their GDP: New Evidence Based on Natural Resources and Production of Electricity

Khan¹,

Kong²

2019

Preprint

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Results of rapid economic growth, China, USA, and India have become the largest energy stealer and the greatest emitter of CO2 in the world and burn over 45% of global fuels in 2016. Meanwhile, the developing strategies of 24 polluted countries to decrease the energy consumption without additional economic output. This paper is exploring the effect of world top polluted countries C02 emission and their GDP and the production of electricity by energy indicators. The GLM model is not predict logistic and probit analysis directly; instead, it is mainly used for instinct to response of CO2 emission, using data for the period 1968-2017. The huge production of electricity will cause of abnormal CO2; this study offers true indication of exploring consumption of energy issues from the perspective of Granger casual and a positive unidirectional causality is detected between energy consumption to economic growth, while short-run bidirectional casualty exists among energy indicators.

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The driving factors of energy-related CO2 emission growth in Malaysia: The LMDI decomposition method based on energy allocation analysis

Cited by 113 publications

References 54 publications

Total‐Factor Energy and Emission Efficiencies of ASEAN and Other Asian Economies

Total‐Factor Energy and Emission Efficiencies of ASEAN and Other Asian Economies

Decomposition Analysis of the Carbon Emissions of the Manufacturing and Industrial Sector in Thailand

Effects of Energy Consumption of Top 24 Polluted Countries on their GDP: New Evidence Based on Natural Resources and Production of Electricity

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