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Emissions Trading - DOAJ

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Last Updated: 15 January 2023

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How the carbon emissions trading system affects green total factor productivity? A quasi-natural experiment from 281 Chinese cities

The findings reveal that the carbon emissions trading scheme has a positive contribution to GTFP, as well as industrial upgrading to raise GTFP, so as to get rid of the cost constraints imposed by carbon emission control; the carbon emissions trading scheme's legislative impact varies greatly in different countries. Further analysis shows that the incentive structure for the carbon trading system depends on a unified market framework, which requires a perfect market system.

Source link: https://doi.org/10.3389/fenrg.2022.895539


Does the Emissions Trading System Promote Clean Development? A Re-Examination based on Micro-Enterprise Data

The evaluation of the impact of this policy on the industrial enterprise environment is expected to be a key element in the industrial economy's growth. Using information obtained from the China Industrial Enterprise Database and China Industrial Enterprise Pollution Discharge Database from 1998 to 2012, our paper sought to investigate the operation and mechanisms of emissions trading schemes using information obtained from the China Industrial Enterprise Database and the China Industrial Enterprise Pollution Discharge Database from 1998 to 2012. The results of the intermediate effect test revealed that the emissions trading system positively impacts the climate, as shown by the u201c innovation compensationu201d result and u201c resource allocationu201d results.

Source link: https://doi.org/10.3390/su142417023


Carbon Emissions Trading and Green Technology Innovation—A Quasi-natural Experiment Based on a Carbon Trading Market Pilot

Scholars are increasingly concerned about the carbon reduction initiative, which has been viewed as a key policy tool to minimize carbon emissions. This paper examines the impact of carbon pollution reduction policies on green technology innovation using a differences-in-differences approach based on provincial panel results from 2005 to 2013, using a carbon emissions trading pilot as a quasi-natural experiment. Although most scholars have previously concentrated on the carbon reduction effect, this paper examines the effects of carbon pollution reduction policies on green technology innovation using a differences-in-differences procedure based on provincial panel results from 2005 to 2020.

Source link: https://doi.org/10.3390/ijerph192416700


The Impact of SO 2 Emissions Trading Scheme on Firm’s Environmental Performance: A Channel from Robot Application

This paper explores the causal consequences of China's SO 2 emissions trading program, a market-based environmental regulation, on the company's environmental results. We examine the microstructure of both emission reduction and efficiency gains of enterprises from the perspective of robot application based on Chinese firm-level results from 2000 to 2013. After a string of robustness tests and using instrumental variables to solve the endogeneity problem, the paper found that SO 2 ETS significantly reduces the emission intensity of Chinese enterprises, and the results are still important. Mechanism analysis shows that the reduction of pollutant emissions reduction and the productivity enhancement of robot automation are two key ways for SO 2 ETS to raise the firm's environmental results.

Source link: https://doi.org/10.3390/ijerph192416471


Evaluating the Causal Effects of Emissions Trading Policy on Emission Reductions Based on Nonlinear Difference-In-Difference Model

The empirical findings show that the emissions trading program has a substantial effect on industrial S O 2 emissions reduction in China, where the reduction effect in non-pilot areas is larger than in pilot areas; the regional S O 2 pollution intensity is not proportional to the increase of industrial S O 2 emissions intensity; and the pollution control strategy is not more effective in regions with higher industrial S O 2 emissions intensities. The use of nonlinear D I D to determine the emissions reduction effect eliminates the bias inherent by the classical D I D method's tight linearity assumption.

Source link: https://doi.org/10.3390/su142315726


Low Carbon Technology Innovation, Carbon Emissions Trading and Relevant Policy Support for China's Low Carbon Economy Development

This paper expands on this cone model to concentrate on the investigation of these key characteristics of low carbon technology innovation, carbon emission right trading, carbon finance, and low carbon policies in China's LCE practices. The findings show that low carbon technology innovation is the driving factor behind the LCE growth, while carbon dioxide right trading is the primary ingredient to LCE growth. Low Carbon Economy, Low Carbon Technology Innovation, Carbon Emissions, Carbon Emissions Right Trading, Carbon Finance, Low Carbon Emissions, Low Carbon Finance, Low Carbon Emissions JEL Classifications: Q38, Q54, Q56 Keywords: Low Carbon Economy, Low Carbon Economy, Low Carbon Technology Innovation, Low Carbon Emissions Low Carbon Emissions, Low Carbon Emissions Low Carbon Emissions, Low Carbon Emissions, Low Carbon Emissions, Low Carbon Emissions Low Carbon Emissions: Low Carbon Emissions Low Carbon Emissions, Low Carbon Emissions, Low Carbon Emission, Carbon Emission, Low Carbon Emissions, Low Carbon Emissions, Low Carbon Emissions, JEL Classification, Q38, Q56, Q36, Q56, Low Carbon Emissions, JEL Classification, JEL Classification, Q38, Q56, Low Carbon Emissions, Low Carbon Emissions, Low Carbon Emissions, Low Carbon Emissions, Low Carbon Emissions, Low Carbon Emission.

Source link: https://doaj.org/article/707f169165d94fed8806512f7a0c4e1c


The Impact of Carbon Emissions Trading on the Profitability and Debt Burden of Listed Companies

The high-quality development of China's green finance is fueled by the goals of achieving peak carbon and carbon freeness, leading to a major effect of emissions trading initiatives on China's profitable and debt burdens. In seven carbon emissions trading pilots from 2010 to 2019, this paper uses propensity score matching and the difference in difference analysis to investigate the effect of carbon emissions trading regulations on the profitability and debt burden of listed businesses in seven carbon emissions trading pilots. The implementation of carbon trading policies has improved the efficiency and reduced the debt burden of listed companies by increasing innovation investment, according to the mechanism test. The empirical evidence shows that this strategy has raised the cost of operating and reduced the debt burden of state-owned listed companies has increased the stability and debt reduction of state-owned listed companies by raising innovation spending. Lastly, this paper recommends that publicly owned companies' participation in the carbon emissions trading scheme be extended and that monopoly restrictions among listed companies be reduced.

Source link: https://doi.org/10.3390/su142013429


The Impact of Carbon Emissions Trading Pilot Policy on Industrial Structure Upgrading

The carbon emissions trading pilot program supports industry structure upgrading largely through green innovation, according to further investigation of the impact mechanism.

Source link: https://doi.org/10.3390/su141710818


A prediction on the impacts of China’s national emissions trading scheme on CO2 emissions from electricity generation

The Emissions Trading Scheme, which was introduced in the Chinese economy on July 2021, is one of the government's CO2 reduction efforts that can reduce CO2 emissions. Using annual records from 1985 to 2019, this report seeks to predict the effects of the emissions trading scheme on CO2 emissions from the burning of coal, oil, and natural gas in electricity generation. Employing the ARDL method, it then calculates the short- and long-run effects of the ETS initiative on CO2 emissions from the burning of coal, oil, and natural gas in power plants over the predicted period. The findings reveal that the ETS program has been very effective in lowering the CO2 emissions from all fuel combustion in electricity generation over the long run. They also encourage China's energy policymakers to update the ETS policy in the forthcoming phases.

Source link: https://doi.org/10.3389/fenrg.2022.956280


A Scientometric Analysis and Review of the Emissions Trading System

The emissions trading system has important research and practice value as a key market mechanism to combat global warming. According to research from Web of Science's core collection, quantitative estimates are used to analyze the ETS, including data on the number of papers, time and location, journals and industries, academic publishing, and hot topics. The findings indicate that to combat climate change safely and minimize emissions at a low price, it is vital to introduce ETS. Scholars are generally opposed to this. In allowance allocation, investigating the possibility of assigning the future allowable carbon emissions quickly and efficiently is vital, but scholars are still struggling to accept this. In addition, researchers have investigated the effect of various allowance allocation plans from macro and micro perspectives, including the largest emitter, as an example, by linear programming, equilibrium modeling, and multi-agent modeling.

Source link: https://doi.org/10.3390/en15124423

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions