The relationship between manufacturing growth and CO2 emissions: Does renewable energy consumption matter?

Yang, Mian; Wang, Enze; Hou, Yaru

doi:10.1016/j.energy.2021.121032

Cited by 59 publications

(14 citation statements)

References 62 publications

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“…They suggested prioritizing energy conservation policy to mitigate environmental degradation and spur economic growth. Using data from 25 manufacturing subsectors in 38 countries from 2000 to 2014 and using an endogenous finite mixture model, Yang et al [30] probed the effect of renewable energy in the EKC relationship. They found that with the growing impact of renewable energy consumption, nearly half of the sample countries and two-thirds of the subsectors have experienced the transformation of the nexus between manufacturing growth and emissions.…”

Section: Introductionmentioning

confidence: 99%

Forecasting the CO2 Emissions at the Global Level: A Multilayer Artificial Neural Network Modelling

2021

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Better accuracy in short-term forecasting is required for intermediate planning for the national target to reduce CO2 emissions. High stake climate change conventions need accurate predictions of the future emission growth path of the participating countries to make informed decisions. The current study forecasts the CO2 emissions of the 17 key emitting countries. Unlike previous studies where linear statistical modeling is used to forecast the emissions, we develop a multilayer artificial neural network model to forecast the emissions. This model is a dynamic nonlinear model that helps to obtain optimal weights for the predictors with a high level of prediction accuracy. The model uses the gross domestic product (GDP), urban population ratio, and trade openness, as predictors for CO2 emissions. We observe an average of 96% prediction accuracy among the 17 countries which is much higher than the accuracy of the previous models. Using the optimal weights and available input data the forecasting of CO2 emissions is undertaken. The results show that high emitting countries, such as China, India, Iran, Indonesia, and Saudi Arabia are expected to increase their emissions in the near future. Currently, low emitting countries, such as Brazil, South Africa, Turkey, and South Korea will also tread on a high emission growth path. On the other hand, the USA, Japan, UK, France, Italy, Australia, and Canada will continuously reduce their emissions. These findings will help the countries to engage in climate mitigation and adaptation negotiations.

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Section: Introductionmentioning

confidence: 99%

Forecasting the CO2 Emissions at the Global Level: A Multilayer Artificial Neural Network Modelling

2021

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“…According to the Sun, a carbon emissions EKC peak occurred due to abnormal economic and development growth only in developing countries (Mardani et al, 2019;Mian Yang et al, 2021;Yirong, 2022).…”

Section: Figurementioning

confidence: 99%

Comparing the effects of agricultural intensification on CO2 emissions and energy consumption in developing and developed countries

Khan

Alabsi

Muda

2023

Front. Environ. Sci.

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Energy consumption has become a requirement in the modern world, and without it, the economies of developing nations cannot prosper. Consistent economic growth is a challenge for countries of all economic levels, not just the less developed ones. We test the EKC hypothesis by analyzing the relationships between GDP growth, energy consumption, agricultural output, and the consequences of carbon dioxide (CO2) emissions. From 1991 to 2016, we used panel and quantile regression analysis to compare emissions in nine developing countries with those in 13 developed countries. There is the beginning of a reverse U-shaped relationship between agricultural energy use and greenhouse gas emissions. As a result, the verified EKC hypothesis paves the way for a watershed moment in the progress of industrialized nations’ economies. As an added bonus, agricultural results have a positive impact on CO2 emissions from using liquid fuels. It has a negative impact on CO2 emissions by 19.12% and causes a 4.802 percent increase in environmental degradation. Feed cropping, deforestation, biomass burning, and deep soil and cropping also have negative effects on the environment, especially in developing countries. There is a negative correlation between CO2 emissions and economic growth in developing countries and their energy consumption. Although the EKC hypothesis for CO2 emissions was rejected at lower quantiles, it was validated for Qatar, Canada, China, and other high-emitting economies according to the empirical estimation of quantile regression. The findings of this study have important policy implications for reducing carbon dioxide emissions, suggesting that policymakers account for the stage of economic growth currently being experienced when formulating measures to cut energy use and protect the environment. In particular, policies aimed at reducing energy consumption could.

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“…The peak energy of intensity theory states that energy rises during industrialization, reaches a peak, and then declines, as borne out by CO 2 emissions and the EKC. According to the Sun, a carbon emission EKC peak occurred due to abnormal economic and development growth only in developing countries (Mardani et al, 2019;Yang et al, 2021a;Yirong, 2022).…”

Section: Figurementioning

confidence: 99%

The impact of agricultural intensification on carbon dioxide emissions and energy consumption: A comparative study of developing and developed nations

Khan

Zhuang

Najumddin

et al. 2022

Front. Environ. Sci.

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Energy consumption has become a necessity in today’s world, and economies in developing nations cannot thrive without it. Countries with less developed economies face the same challenges of achieving sustained economic growth as those with more advanced economies. Herein, we examine the environmental Kuznets curve (EKC) hypothesis by looking at the interplay between GDP growth, energy use, agricultural output, and the effects of carbon dioxide (CO2) emissions. From 1991 to 2016, we used panel and quantile regression analyses to compare emissions in nine developing countries with those in 13 developed countries. There is the beginning of a reverse U-shaped relationship between agricultural energy use and greenhouse gas emissions. As a result, the verified EKC hypothesis paves the way for a watershed moment in the progress of industrialized nations’ economies. The estimated results of agriculture have a favorable impact on CO2 emissions by 15.16 percent but a negative influence of 2.92 percent on CO2 emissions from using liquid fuels, leading to more severe environmental deterioration. Additionally, in developing countries, feed cropping, deforestation, biomass burning, and deep soil and cropping all have detrimental consequences on the ecosystem. There is a negative correlation between CO2 emissions and economic growth in developing countries and their energy consumption. Although the EKC hypothesis for CO2 emissions was rejected at lower quantiles, it was validated for Qatar, Canada, China, and other high-emitting economies according to the empirical estimation of quantile regression. The findings of this study have important policy implications for reducing carbon dioxide emissions, suggesting that policymakers account for the stage of economic growth currently being experienced when formulating measures to cut energy use and protect the environment. Possible solutions to mitigate environmental degradation include enactment of policies to reduce energy consumption.

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The relationship between manufacturing growth and CO2 emissions: Does renewable energy consumption matter?

Cited by 59 publications

References 62 publications

Forecasting the CO2 Emissions at the Global Level: A Multilayer Artificial Neural Network Modelling

Forecasting the CO2 Emissions at the Global Level: A Multilayer Artificial Neural Network Modelling

Comparing the effects of agricultural intensification on CO2 emissions and energy consumption in developing and developed countries

The impact of agricultural intensification on carbon dioxide emissions and energy consumption: A comparative study of developing and developed nations

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