Testing environmental Kuznets curve hypothesis in Peru: The role of renewable electricity, petroleum and dry natural gas

Zambrano-Monserrate, Manuel A.; Silva, Carlos A.; Davalos-Penafiel, Jose L.; Zambrano-Monserrate, Andrea; Ruano, María Alejandra

doi:10.1016/j.rser.2017.11.005

Cited by 124 publications

(60 citation statements)

References 72 publications

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“…Table highlights the short‐run estimates using the ARDL approach. The findings indicate that the results that is combined (total energy consumption) and separated model (hydrocarbon gas) demonstrate evidence of EKC in the short‐run which is congruent with research on Romania and India but conflicts with Pakistan, selected Western African countries and Peru studies respectively . In this study, the distinct significance levels of total energy consumption and hydrocarbon gas in relation to log Y along with (log Y ) 2 were strong to create an inverted relationship between income and carbon emissions and in the process confirming the EKC hypothesis.…”

Section: Resultssupporting

confidence: 84%

“…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]. Conversely, total energy and petroleum consumption produce negative and statistically significant associations with carbon emissions in the long-run.…”

Section: Resultssupporting

confidence: 81%

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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: 84%

Section: Resultssupporting

confidence: 81%

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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“…First, this paper employs diverse indicators of environmental quality (carbon emissions, greenhouse gases, carbon monoxide, sulfur oxides, and nitrogen oxides) to ascertain how renewable energy affects the influence such emissions have on environmental quality. This approach is unlike most prior studies by Bilgili, Koçak, and Bulut (2016), Pata (2018), Solarin, Al-Mulali, and Ozturk (2017), Zambrano-Monserrate et al (2017), Zhang, Wang, and Wang (2017), and Sinha and Shahbaz (2018), which have focused solely on carbon emissions as the proxy for environmental quality.…”

Section: Introductionmentioning

confidence: 97%

“…This approach is unlike most prior studies by Bilgili, Koçak, and Bulut (), Pata (), Solarin, Al‐Mulali, and Ozturk (), Zambrano‐Monserrate et al. (), Zhang, Wang, and Wang (), and Sinha and Shahbaz (), which have focused solely on carbon emissions as the proxy for environmental quality. Thus, this paper will provide an extended and comprehensive view of the effects of renewable energy investments on measurements of environmental degradation as provided by the five environmental quality indicators.…”

Section: Introductionmentioning

confidence: 98%

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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“…Este escenario ambiental no presenta la misma intensidad en todos los países. Según Zambrano-Monserrate et al (2018), las economías desarrolladas son las más afectadas por la contaminación debido a su alto grado de industrialización; sin embargo, las economías en desarrollo son más vulnerables a los efectos del cambio climático, el mismo que encuentra muchas de sus causas en las actividades humanas que generan gases de efecto invernadero (GEI), los que, de acuerdo con Ozturk y Acaravci (2010), están constituidos en un 60% por dióxido de carbono.…”

Section: Introductionunclassified

Efecto de la Segregación de Energías en la Hipótesis de la Curva Ambiental de Kuznets. Un Estudio para el Caso Ecuatoriano.

Rojas

Tacuri

Monsalve

et al. 2019

IRJ

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El presente estudio examina el impacto de variables económicas relacionadas con la energía, sobre la degradación ambiental en Ecuador, bajo el enfoque de la Curva Medioambiental de Kuznets (EKC). Este modelo utilizó el enfoque de cointegración basado en el modelo autorregresivo de rezagos distribuidos (ARDL), durante el periodo 1980-2014, analizándose el impacto del consumo de electricidad de fuentes renovables, del gas natural seco y del de petróleo en términos per cápita, en relación con las emisiones de CO2 por consumo de energía. Los resultados no verifican la hipótesis EKC; sin embargo, se constató que el consumo de energía de fuentes renovables no es significativo para el modelo. Los pronósticos para el 2025 indican un aumento de las emisiones de CO2 por el consumo de energía en el Ecuador.

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Testing environmental Kuznets curve hypothesis in Peru: The role of renewable electricity, petroleum and dry natural gas

Cited by 124 publications

References 72 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

Efecto de la Segregación de Energías en la Hipótesis de la Curva Ambiental de Kuznets. Un Estudio para el Caso Ecuatoriano.

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