Energy resource melioration and CO2 emissions in China and Nigeria: Efficiency and trade perspectives

Li, Guo; Zakari, Abdulrasheed; Tawiah, Vincent

doi:10.1016/j.resourpol.2020.101769

Cited by 84 publications

(36 citation statements)

References 39 publications

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“…There is a strong positive correlation between the EIR and CO 2 emissions. This result is in line with the study of Guo Li, and he believes that energy efficiency in the mining and extraction-related sector has not translated into CO 2 emission reduction in China and Nigeria [2]. The greater the EIR is, the greater the net energy effect, which always means more CO 2 emissions, will be.…”

Section: Discussionsupporting

confidence: 83%

“…Guo Li introduces energy efficiency, economic growth, energy use (non-renewable energy), and clean energy substitution (renewable energy) as the indicators affecting CO 2 emissions, and believes that resource melioration for energy consumption and economic growth have indispensable roles in reducing CO 2 emissions. However, energy efficiency in the mining and extraction-related sector as well as the circular economy have not translated into CO 2 emission reduction in China and Nigeria [2]. G. Ortega-Ruiz introduces types of energy sources, sizes of the economic sectors, and value of the gross domestic product as the indicators affecting CO 2 emissions, and believes that India's CO 2 emissions increased due to the rapid economic growth and decreased due to the change in energy intensity [3].…”

Section: Introductionmentioning

confidence: 99%

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Implications of Energy Intensity Ratio for Carbon Dioxide Emissions in China

Chen

Wen

2020

Sustainability

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Industrial carbon dioxide (CO2) emissions are mainly derived from fossil energy use, which is composed of procedures involving extraction of energy from the natural system as well as its exchange and consumption in the social system. However, recent research on low-carbon transitions considers the cost of energy commodities from a separate perspective—a biophysical or monetary perspective. We introduce the energy intensity ratio (EIR), which is a novelty perspective combining biophysical and monetary metrics to estimate the cost of energy commodities in the low-carbon energy transitions. This combination is essential, since the feedback of energy into the biophysical system will influence the performance of energy in the economic system and vice versa. Based on the Logarithmic Mean Divisia Index (LMDI), we developed the EIR-LMDI method to explain the changes in CO2 emissions. The changes in CO2 emissions caused by the EIR are the net energy effect. In China, the net energy effect kept CO2 emissions at a compound annual growth rate of 6.15% during 2007–2018. Especially after 2014, the net energy effect has been the largest driver of the increase in CO2 emissions. During the study period, high net energy usually indicated high CO2 emissions. Coal is the most important energy commodity and dominates the net energy effect; the least volatile component is the EIR of natural gas. The EIR affects CO2 emissions by the price crowding-out effect and the scale expansion effect, which make the process of low-carbon transition uncertain. The results illuminate that policymakers should monitor the net energy effect to prevent it from offsetting efforts to reduce energy intensity.

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Section: Discussionsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Implications of Energy Intensity Ratio for Carbon Dioxide Emissions in China

Chen

Wen

2020

Sustainability

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“…And this may be why the Kuznets curve effect not observed for CEM, also indicated that the fact that environmental policy formation in the countries. The estimated value of Trade (TRD) indicated a negative impact on panels A and B. And intensive trade has an enervating influence on the energy obtained from industrial sectors from the developing countries [76, 77]. However, developing countries highly dependent on agricultural products and primary sector exports, it is estimated that agriculture and trade would track similar dynamics in developing and developed countries.…”

Section: Discussionmentioning

confidence: 99%

Agricultural production and CO2 emissions causes in the developing and developed countries: New insights from quantile regression and decomposition analysis

Khan

2020

Preprint

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Agriculture is the dominant economic activity of the economies. The developing and developed countries are responsible for the most greenhouse gasses emitted in the developing areas. Are there heterogeneous determinants of environmental degradation and CO2 emitters in developing and developed countries? and estimating the significance of agricultural production, renewable energy consumption, the industrial revolution, and economic growth. In this study, 22 countries’ environmental degradation analyze by two (per-capita and liquid) sources of CO2 emissions and using panel data from 1991 through 2016. This study adopts a panel regression (non-additive effects) and quantile regression techniques to explore the connection between agriculture and economic factors. And the extent of the CO2 emitter gap between developing and developed countries. The outcome of agriculture has a positive and significant influence on CO2 emission from liquid with a 36.75% increase in environmental degradation and a negative impact on CO2 emission in the total emissions by 19.12%. The agriculture-related activities negatively influence the environment, such as deforestation for feed cropping, burning of biomass, and deep soil cropping in the developing countries. Furthermore, the quantiles decomposition procedure in agriculture production is signifying heterogeneity of the determinants of environmental degradation, low and high CO2 emitters.

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“…Yang and Xie [16] concluded that environmental regulations within different ranges of intensity noticeably increased carbon emissions by restraining technological innovation. Li et al [17,18] found that energy efficiency, energy use, economic growth, and clean energy substitution exert a distorting influence on CO 2 emissions that contributes to increased CO 2 emissions in Nigeria. However, environmental diplomacy has been demonstrated to reduce CO 2 emissions for developing countries in the short term.…”

Section: Literature Review and Hypothesismentioning

confidence: 99%

The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China

Luo

Wang

et al. 2021

IJERPH

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This study examined the relationship between environmental regulations (ER) and green economic efficiency (GEE) based on the panel data of 30 provinces in China from 2008 to 2017. Firstly, GEE was calculated and evaluated using the super-efficiency SBM model with undesirable outputs. Secondly, the impact of ER on GEE was studied with the Tobit model. Finally, this article draws conclusions based on the above analysis and offers some suggestions for government and enterprise. The results show that the GEE of China is generally low. The GEE of the eastern region is much higher than that of the middle and western regions, with the western region performing slightly better than the middle. From west to east, there is a V shape, with high efficiency in the west and east and low efficiency in the middle. The impact of ER on GEE has the characteristics of nonlinearity and spatial heterogeneity. At the national level, as well as in the middle and western regions, the impact of ER on GEE shows an inverted U shape that first rises and then falls. ER are currently within the range conducive to the development of GEE. If the intensity of ER exceeds the critical value, they will have a negative impact on GEE. In the eastern region, the impact of ER on GEE is shown as a U shape that first falls and then rises. At present, the ER are not of sufficient intensity to contribute to the improvement of GEE. Only when the intensity of the ER exceeds the critical value will they have a positive influence on the GEE.

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Energy resource melioration and CO2 emissions in China and Nigeria: Efficiency and trade perspectives

Cited by 84 publications

References 39 publications

Implications of Energy Intensity Ratio for Carbon Dioxide Emissions in China

Implications of Energy Intensity Ratio for Carbon Dioxide Emissions in China

Agricultural production and CO2 emissions causes in the developing and developed countries: New insights from quantile regression and decomposition analysis

The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China

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