The impact of renewable energy and agriculture on carbon dioxide emissions: Investigating the environmental Kuznets curve in four selected ASEAN countries

Liu, Xuyi; Zhang, Shun; Bae, Jung-Han

doi:10.1016/j.jclepro.2017.07.086

Cited by 472 publications

(250 citation statements)

References 39 publications

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“…Thus, primary coal usage adds more emissions than secondary coal use in South Africa in the long-term. The general findings of coal consumption on emissions agree with one study on India [14], along with another survey on the ASEAN-4 (Indonesia, Malaysia, Philippines, and Thailand) [22]. For electricity consumption, a 1% increase in usage heightens emissions by 0.64% which contradicts with survey findings in both China and India [23], whiles a 1% increase in hydrocarbon gas generates 0.02% increase in carbon emissions in the long-term thereby agreeing with one empirical study implemented in Peru [24].…”

Section: Resultssupporting

confidence: 87%

Carbon emissions, diverse energy usage and economic growth in south africa: Investigating existence of the environmental kuznets curve (EKC)

Ganda

2018

Env Prog and Sustain Energy

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This article examined the relationships involving carbon emissions, economic growth and energy consumption by employing the environmental Kuznets curve (EKC) in South Africa from 1980 to 2014. The auto regressive distributed lag approach and Johansen cointegration tests proved that the variables are cointegrated. The article findings show that combined (total energy consumption) and hydrocarbon gas and petroleum consumption demonstrates evidence of EKC in the long‐run. Other separated data (primary coal, secondary coal, and electricity consumption) show no evidence of the EKC in the long‐run. Primary coal, secondary coal, electricity and hydrocarbon gas consumption develop positive and statistically significant relationships with carbon emissions in the long‐run but the case of total energy and petroleum consumption was negative and statistically significant. The short‐run results illustrate that combined (total energy consumption) and hydrocarbon gas consumption indicate evidence of EKC. Other separated data (primary coal, secondary coal, electricity, and petroleum consumption) show no evidence of the EKC in the short‐run. Short‐run results also indicated that total energy, primary coal, secondary coal, and electricity consumption report positive and statistically significant relationship with carbon emissions but hydrocarbon gas and petroleum consumption indicate positive but insignificant associations. Granger causality test based on vector error correction method (VECM) are also presented to ascertain causality. © 2018 American Institute of Chemical Engineers Environ Prog, 38: 30–46, 2019 Highlights The EKC hypothesis was examined in South Africa by employing energy combined and separated data. The EKC is supported in energy combined data in both short and long‐run but varies in separated data. Primary coal, secondary coal, electricity and hydrocarbon gas consumption develop positive and statistically significant relationships with carbon emissions in the long‐run. Total energy and petroleum consumption generate negative and statistically significant associations with carbon emissions in the long‐run. Total energy, primary coal, secondary coal and electricity show positive and statistically significant relationship with carbon emissions in the short‐run. Hydrocarbon gas and petroleum consumption indicate positive but insignificant association with carbon emissions in the short‐run. Granger causality tests based on VECM are also discussed.

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Section: Resultssupporting

confidence: 87%

Carbon emissions, diverse energy usage and economic growth in south africa: Investigating existence of the environmental kuznets curve (EKC)

Ganda

2018

Env Prog and Sustain Energy

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“…In this vein, a percentage increase in green energy investments leads to a 1.351, 0.73, 3.579, 1.493, and 1.214% drop in carbon emissions, greenhouse gases, carbon monoxide, sulfur oxides, and nitrogen oxides, respectively. This finding concurs with recent surveys by Dong, Sun, Jiang, and Zeng (), Liu, Zhang, and Bae (), Zoundi (), and Sinha and Shahbaz (), although it conflicts with Apergis, Payne, Menyah, and Wolde‐Rufael () and Menyah and Wolde‐Rufael ().…”

Section: Resultssupporting

confidence: 92%

The influence of green energy investments on environmental quality in OECD countries

Ganda

2018

Environmental Quality Mgmt

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This empirical study analyzes the relationship between green energy investments on environmental quality in Organisation for Economic Co‐operation and Development (OECD) countries from 2000 to 2014. Environmental quality was disaggregated into five widely known proxies: carbon emissions, greenhouse gases, carbon monoxide, sulfur oxides, and nitrogen oxides. On one hand, using the system‐Generalized Method of Moments estimator, the results of this paper demonstrate that renewable energy investments, primary energy supply, and economic growth produces negative and significant relationships with the growth of carbon emissions, greenhouse gases, carbon monoxide, sulfur oxides, and nitrogen oxides. On the other hand, the interaction term between renewable energy and primary energy supply shows positive and significant associations with all environmental quality indicators. Furthermore, the present study finds a U‐shaped relationship between environmental quality and income for carbon emissions, greenhouse gases, carbon monoxide, sulfur oxides, and nitrogen oxides, which did not completely confirm existence of the environmental Kuznets curve. Therefore, the overall findings of the paper suggest that renewable energy adoption is of prime importance in lowering the growth in the emission of harmful gases and combatting climate change, although energy patterns and processes in OECD countries must be revised to ensure that they are environmentally friendly.

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“…CO 2 emissions also do not cause renewable energy consumption. This empirical result contradicts the finding of Dong et al [66] and Liu et al [63] who proposed that renewable energy consumption has a negative impact on CO 2 emissions, and that there is a feedback causalities between CO 2 emissions and renewable energy consumption in four selected countries of the Association of Southeast Asian Nations.…”

Section: System-gmm Pvar Causality Resultscontrasting

confidence: 79%

“…Since in this paper we examined the case of countries at global and regional levels, previous research with cross-country data is discussed in detail below. A majority of studies have found evidence for a bidirectional causal relationship between CO 2 emissions and renewable energy (see Salim and Rafiq [62] for six emerging countries, Liu et al [63] for ASEAN-4 countries, Jebli et al [64] for 25 OECD countries, Dogan and Seker [65] for 15 EU countries and Dong et al [66,67] for BRICS countries and 14 Asia-Pacific countries). Some previous studies have shown evidence for a unidirectional causal relationship between CO 2 emissions and renewable energy, such as Al-mulali and Ozturk [68], who examined this for 27 advanced economies, and Balsalobre-Lorente et al [69], who studied this for 5 EU countries.…”

Section: Relationship Between Co 2 Emissions and Renewable Energymentioning

confidence: 99%

The Causality between Participation in GVCs, Renewable Energy Consumption and CO2 Emissions

2020

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Using the panel vector autoregressive (PVAR) model accompanied by the system-generalized method of moment (System-GMM) approach, this paper investigates the dynamic causality between participation in global value chains (GVCs), renewable energy consumption and carbon dioxide (CO2) emissions throughout 1990–2015 for 172 countries. The results show that participation in GVCs negatively causes renewable energy consumption except for the Middle East and North America (MENA) and sub-Saharan Africa. Second, except for the Asia–Pacific region and globally, participation in GVCs has no causal impact on CO2 emissions, and participation in GVCs has a positive effect on CO2 emissions in the Asia–Pacific region and globally. Third, except for globally and sub-Saharan Africa, CO2 emissions have no causal impact on participation in GVCs; however, CO2 emissions hurt participation in GVCs globally and in the sub-Saharan African region. Forth, renewable energy consumption positively causes participation in GVCs in MENA, while renewable energy consumption does not cause participation in GVCs globally and in other regions. Fifth, there is no causality between CO2 emissions and renewable energy consumption both at the global and regional levels. Several policy implications are proposed and discussed for promoting participation in GVCs and improving the environment.

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The impact of renewable energy and agriculture on carbon dioxide emissions: Investigating the environmental Kuznets curve in four selected ASEAN countries

Cited by 472 publications

References 39 publications

Carbon emissions, diverse energy usage and economic growth in south africa: Investigating existence of the environmental kuznets curve (EKC)

Carbon emissions, diverse energy usage and economic growth in south africa: Investigating existence of the environmental kuznets curve (EKC)

The influence of green energy investments on environmental quality in OECD countries

The Causality between Participation in GVCs, Renewable Energy Consumption and CO2 Emissions

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