Influencing factors of the decoupling relationship between CO2 emission and economic development in China’s power industry

Xie, Pinjie; Yang, Fan; Mu, Zhuowen; Gao, Shuangshuang

doi:10.1016/j.energy.2020.118341

Cited by 59 publications

(26 citation statements)

References 53 publications

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“…China influences the stable environment, and its new industrial growth adequately representing a tremendous challenge for the devoted rest of the civilized world. An increasing effect on the energy resource demand and supply of the world resources market paid attention to China [ 5 ]. The massive volume of stimulated CO2 emission in China may naturally extend to economic growth because urbanization is still growing in urban communities and taking a turn of strengthening.…”

Section: Introductionmentioning

confidence: 99%

Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China

Khan

2021

PLoS ONE

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The credible sources of fossil energy efficiently are a vital cause of economic growth and considerable influence on adequate security. Whereas radiant energy positively enhances or ostensibly promotes socio-economic stability and the controlled environment. The fossil energy sources supply has become progressively stern in China and reconnoitering the beta decoupling relationships between CO2 emissions, GDP, energy consumption, electricity consumption, value-added industries, and population. The results will be favorable for illustrative the security of the valuable resources. This study adopts the extended stochastic model (STIRPAT) with Beta Decoupling Techniques (BDT). This modern technique merely employs the decoupling situation by the alpha and beta effects from 1989 to 2018 and calculates the % change in CO2 emissions by GDP growth and energy consumption. The estimated results represent negative and economic growth depends on coal and natural gas. First, CO2 emissions annually increasing cause of rapid growth, energy consumption, and electricity production, and the structural contradiction of energy remained static. Second, the Value-added industries estimated that CO2 emissions reduce by primary industries. Third, the decoupling states of CO2 emissions and population show an inverse relationship. This paper tentatively suggests China is sustainable, naturally strengthens energy output, transmutes the energy consumption structure, and advances development policies under environmental circumstances.

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Section: Introductionmentioning

confidence: 99%

Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China

Khan

2021

PLoS ONE

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“…Sources: Author's estimates. Probabilities selected by lag (11) and Criterion of Info Schwarz standard computed using asymptotic Chi-square distribution. *** stipulate at the level of 1%** stipulate at the level of 5% * stipulate at the level of 10%.…”

Section: Panel Regressionmentioning

confidence: 99%

“…Consequently, a production of 45% of agriculture production is a cause of 23% of C-LF. Also, Turkey has recorded the highest 6% production in AGR with 2% of C-LF and C-EM [9][10][11]. The EKC theory has been now investigated diverse thoughts in the carbon emanation.…”

Section: Introductionmentioning

confidence: 99%

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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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“…On the other hand, Bloch et al [7] employ the cointegration and error correction model to show how coal consumption and income are correlated both supply and demand side. Xie et al [8] identify the determinants of power industrial CO 2 emission with the autoregressive distributed lag model, showing that improved coal-fired power generation efficiency and decreasing terminal energy intensity reduce the decoupling index.…”

Section: Introductionmentioning

confidence: 99%

Nonlinearity between CO2 Emission and Economic Development: Evidence from a Functional Coefficient Panel Approach

Nam¹,

Lee

Jeon³

2020

Sustainability

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This paper investigates the nonlinear relationship between CO2 emission and economic development using a newly developed functional coefficient panel model. In contrast to the existing literature, which suggests that the income elasticity of CO2 emission is parametrically modeled as a function of income, the income coefficient of CO2 emission is set as a function of both income and time. Then, we estimate the income elasticity in a nonparametric way using the country panel data covering 1971–2017. By doing so, we impose richer dynamics to the income elasticity not only over income but also over time. Our empirical results indicate that the income elasticity has decreased over time for high-income countries, whereas it has increased over time for low-income countries.

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Influencing factors of the decoupling relationship between CO2 emission and economic development in China’s power industry

Cited by 59 publications

References 53 publications

Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China

Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China

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

Nonlinearity between CO2 Emission and Economic Development: Evidence from a Functional Coefficient Panel Approach

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