Quantifying the role of technical progress towards China’s 2030 carbon intensity target

Peng, Li; Ouyang, Yaofu

doi:10.1080/09640568.2020.1764343

Cited by 17 publications

(12 citation statements)

References 30 publications

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“…Li and Ouyang exerted efforts to figure out the effect of endogenous technical progress on Chinese carbon intensity goal reducing. 1 They found that the combination of carbon tax and technological progress makes the established goal come true, though it hinders economic growth ( Li and Ouyang, 2021 ). Obviously, scholars have done abundant work on exploring factors influencing carbon intensity, but what have been done more falls in cities and country level.…”

Section: Introductionmentioning

confidence: 99%

Preventing a rebound in carbon intensity post-COVID-19 – lessons learned from the change in carbon intensity before and after the 2008 financial crisis

Wang

Jiang

2021

Sustainable Production and Consumption

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Section: Introductionmentioning

confidence: 99%

Preventing a rebound in carbon intensity post-COVID-19 – lessons learned from the change in carbon intensity before and after the 2008 financial crisis

Wang

Jiang

2021

Sustainable Production and Consumption

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“…At present, achieving emission reduction targets while ensuring sustainable economic development is an important challenge for the government [34]. Technological progress is undoubtedly the most promising solution to the challenge [13]. Chen et al found that technological advances reduced carbon emissions during the study period in China [35].…”

Section: Research On Technological Progress and Carbon Emission Reduc...mentioning

confidence: 99%

“…Furthermore, as crucial factors of production, the efficiency and technology of energies are also effective measures that can be used to avoid the adverse effects of carbon taxes. Technological progress can curb carbon emission intensity while not reducing long-term economic growth [13]. Combined with the above analysis, both carbon tax recovery and technological progress are effective and important tools to maintain economic growth under carbon reduction targets.…”

Section: Introductionmentioning

confidence: 99%

Does a Recycling Carbon Tax with Technological Progress in Clean Electricity Drive the Green Economy?

Liu

et al. 2022

IJERPH

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The environmental issue is a significant challenge that China faces in leading the development of the green economy. In this context, reducing CO2 emissions is the key to combatting this problem. Taking the 2017 social accounting matrix (SAM) as the database and combing macroeconomic parameters from previous studies, this article constructed the environmentally computable general equilibrium (CGE) model as an analytical model to analyze the economic–environmental–energy impacts of recycling carbon tax with technological progress in clean electricity. We found that when the rate of clean electricity technological progress reaches 10%, the carbon recycling tax that reduces corporate income taxes will achieve a triple dividend of the carbon tax, namely, promoting economic development, reducing carbon emissions, and improving social welfare. In the meantime, on the basis of carbon tax policies that raise the price of fossil energy, clean electricity technological progress will help accelerate the transformation of electricity structure, reduce the proportion of thermal power generation, and better promote emission reduction. In addition, due to the high carbon emission coefficient, coal contributes significantly to carbon emission reduction. Therefore, China should implement a carbon tax recycling policy supplemented by the progress of clean power technology as soon as possible to better promote green economy development.

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“…Technological progress is considered to be one of the most important factors in reducing carbon intensity. Typical domestic and foreign technologies include the reduction of fuel combustion in the process, processing conversion, and end use, as well as technologies such as carbon recovery, low-carbon energy, and carbon sinks [ 37 , 38 , 39 ]. Scholars generally believe that the industrial structure and energy structure contribute most to China’s carbon intensity effect, and that structural adjustment is still the main direction of China’s future emission reduction [ 40 ].…”

Section: Literature Reviewmentioning

confidence: 99%

What Cause Large Spatiotemporal Differences in Carbon Intensity of Energy-Intensive Industries in China? Evidence from Provincial Data during 2000–2019

Shen²,

Liu³

2022

IJERPH

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China has been reported as the world’s largest carbon emitter, facing a tough challenge to meet its carbon peaking goal by 2030. Reducing the carbon intensity of energy-intensive industries (EIICI) is a significant starting point for China to achieve its emission reduction targets. To decompose the overall target into regions, understanding the spatiotemporal differences and drivers of carbon intensity is a solid basis for the scientific formulation of differentiated regional emission reduction policies. In this study, the spatiotemporal differences of EIICI are described using the panel data of 30 provinces in China from 2000 to 2019, and a spatial econometric model is further adopted to analyze its drivers. As indicated by the results: (1) from 2000 to 2019, China’s EIICI tended to be reduced continuously, and the spatial differences at the provincial and regional levels expanded continuously, thus revealing the coexistence of “high in the west and low in the east” and “high in the north and low in the south” spatial patterns. (2) There is a significant spatial autocorrelation in the EIICI, characterized by high and high agglomeration and low and low agglomeration types. Moreover, the spatial spillover effects are denoted by a 1% change in the local EIICI, and the adjacent areas will change by 0.484% in the same direction. (3) Technological innovation, energy structure, and industrial agglomeration have direct and indirect effects, thus affecting the local EIICI and the adjacent areas through spatial spillover effects. Economic levels and firm sizes only negatively affect the local EIICI. Environmental regulation merely has a positive effect on adjacent areas. However, the effect of urbanization level on EIICI has not been verified, and the effect of urbanization level on the EIICI has not been verified. The results presented in this study show a scientific insight into the reduction of EIICI in China. Furthermore, policymakers should formulate differentiated abatement policies based on dominant drivers, spatial effects, and regional differences, instead of implementing similar policies in all provinces.

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Quantifying the role of technical progress towards China’s 2030 carbon intensity target

Cited by 17 publications

References 30 publications

Preventing a rebound in carbon intensity post-COVID-19 – lessons learned from the change in carbon intensity before and after the 2008 financial crisis

Preventing a rebound in carbon intensity post-COVID-19 – lessons learned from the change in carbon intensity before and after the 2008 financial crisis

Does a Recycling Carbon Tax with Technological Progress in Clean Electricity Drive the Green Economy?

What Cause Large Spatiotemporal Differences in Carbon Intensity of Energy-Intensive Industries in China? Evidence from Provincial Data during 2000–2019

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