Does emission trading scheme have spillover effect on industrial structure upgrading? Evidence from the EU based on a PSM-DID approach

Zang, Jianing; Wan, Liang; Li, Zejun; Wang, Chengyuan; Wang, Shanyong

doi:10.1007/s11356-020-07818-0

Cited by 87 publications

(46 citation statements)

References 39 publications

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“…Our study employs the difference-in-differences (DID) method to explore the impact of CN-ETS participation on the quality of carbon emission disclosures. The DID is the most appropriate method for evaluating the impact of CN-ETS implementation on the quality of carbon emission disclosures as suggested by the prior literature [45][46][47][48].…”

Section: Data Sample and Research Methodologymentioning

confidence: 99%

Impact of Carbon Emission Trading System Participation and Level of Internal Control on Quality of Carbon Emission Disclosures: Insights from Chinese State-Owned Electricity Companies

et al. 2020

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In recent years, the quality of carbon emission disclosures has become a central area of concern for different stakeholders of companies. Specifically, stakeholders of state-owned enterprises (SOEs) want these companies to legitimize their actions regarding carbon emissions reductions reporting. The current study aims to explore the impact of carbon emission trading system participation and the level of internal control on the quality of carbon emission disclosures. Using a sample of Chinese state-owned electricity companies from 2012 to 2018 and employing the difference-in-differences (DID) method, we find a positive impact of the carbon emission trading system participation on the quality of carbon emission disclosures, which suggests that the state-owned electricity companies' participation in the carbon emission trading system leads to the higher quality of carbon emission disclosures. Likewise, we find a positive relationship between the level of internal control and the quality of carbon emission disclosures, which suggests that the state-owned electricity companies with stronger internal control provide the higher quality of carbon emission disclosures. In addition, we find that the findings are only significant in the case of central SOEs as compared to local SOEs. Our findings contribute to the practical, policy, and research implications as the quality of carbon disclosures is the primary concern from a variety of stakeholders.

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Section: Data Sample and Research Methodologymentioning

confidence: 99%

Impact of Carbon Emission Trading System Participation and Level of Internal Control on Quality of Carbon Emission Disclosures: Insights from Chinese State-Owned Electricity Companies

et al. 2020

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“…As shown in this table, all absolute values of normalized bias value are less than 10 after matching. Meanwhile, the t-statistics after matching were not significant, implying there is no systematic difference between the experimental group and the control group, and that our matching estimation results are suitable and reliable [ 76 ].…”

Section: Resultsmentioning

confidence: 99%

“…However, a concern with the DID approach is that the estimation results can be biased if the treatment group and control group are not stochastically selected. Accordingly, scholars suggest using the propensity score matching (PSM, hereafter) method, which has been widely used in studies on policy effects since its introduction, to handle the endogenous problems caused by selection bias [ 75 , 76 , 77 ]. The main steps of this method involve: (1) Estimating a logit or other discrete choice model of program participation; (2) Defining the region of common support and balancing tests; (3) Matching pairs; and (4) Calculating the average treatment impact.…”

Section: Methodsmentioning

confidence: 99%

Does Environmental Policy Help Green Industry? Evidence from China’s Promotion of Municipal Solid Waste Sorting

Chen

Wang

Wen

et al. 2021

IJERPH

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As municipal solid waste severely threatens human health and the ecological environment, since 2019, China has started to fully practice MSW sorting in all prefecture-level cities. In this paper, we apply the event study and difference-in-difference methods to investigate how China’s green policy of promoting MSW sorting influences listed waste sorting companies from the perspective of investors’ short-term and long-term reactions. This paper finds that investors are not sensitive to the introduction of MSW sorting in the short term, the new environmental policy does not relieve the financing constraints of related enterprises in the long run, and the financing constraints of private enterprises are stricter than those of state-owned enterprises. These findings indicate that China’s current encouragement of garbage sorting is not efficient enough as it has not brought benefits to the waste classification industry yet. More measures need to be taken to eliminate uncertainties in urban waste sorting. Our paper enriches the research on China’s waste sorting practices and provides new evidence of the effects of environmental policy on related firms from the perspective of green industry.

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“…is may lead to bias. We employed the method which integrates propensity score matching with difference-in-differences method (PSM-DID) to test the robustness of the results obtained by the difference-in-differences method [78,79]. e main idea of propensity score matching (PSM) is to find city j in the control group and make it as similar as possible to city i in the experimental group, that is, x i � x j .…”

Section: Robustness Test Based On Psm-didmentioning

confidence: 99%

The Impact of Ride-Hailing Services on Private Car Use in Urban Areas: An Examination in Chinese Cities

Zhong

Lin

Yang

2020

Journal of Advanced Transportation

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The rapid development of internet-based ride-hailing services has contributed to transportation in cities and, at the same time, has significantly impacted existing travel modes in cities. A question has emerged as to whether and to what extent ride-hailing services replace private car use. Although the private car is convenient, comfortable, and flexible, it has low utilization rate and high maintenance and parking costs. Better understanding of the relationship between ride-hailing services and the use of private cars has been brought to the forefront for auto dealers and urban transportation policymakers. However, controversies remain regarding how ride-hailing services will impact the use of private cars in cities. Given this setting, our study applied a difference-in-differences method to analyze the impact of ride-hailing services on the use of private cars with balanced panel data from 109 prefecture-level cities in China from 2010 to 2016. Moreover, we employed some methods to verify the robustness of the preliminary results. The empirical results show that ride-hailing services had a negative impact on the use of private cars in urban areas. Over time, the negative impact initially strengthened and then weakened. Further studies showed that ride-hailing services had a more significant negative impact on private car use in eastern cities than in western cities. The results showed that the influence of ride-hailing services on private car use in urban areas is heterogeneous across time and cities.

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Does emission trading scheme have spillover effect on industrial structure upgrading? Evidence from the EU based on a PSM-DID approach

Cited by 87 publications

References 39 publications

Impact of Carbon Emission Trading System Participation and Level of Internal Control on Quality of Carbon Emission Disclosures: Insights from Chinese State-Owned Electricity Companies

Impact of Carbon Emission Trading System Participation and Level of Internal Control on Quality of Carbon Emission Disclosures: Insights from Chinese State-Owned Electricity Companies

Does Environmental Policy Help Green Industry? Evidence from China’s Promotion of Municipal Solid Waste Sorting

The Impact of Ride-Hailing Services on Private Car Use in Urban Areas: An Examination in Chinese Cities

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