The spatial spillover effect of China's carbon emissions trading policy on industrial carbon intensity: Evidence from a spatial difference-in-difference method

Dai, Shaotao; Qian, Yawen; He, Wenjun; Wang, Chen; Shi, Tianyu

doi:10.1016/j.strueco.2022.09.010

Cited by 53 publications

(27 citation statements)

References 34 publications

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“…Most existing research, including the studies mentioned above, employ the DID model for policy evaluation of LCCP. Because spatial spillover effects are overlooked, such results may be biased [ 19 , 20 ]. The SDID model can address these deficiencies, which combines spatial econometric methods with the DID model [ 21 , 22 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Referring to Dai et al [ 20 ], this study constructs an SDID model that is derived from the Stochastic Impacts by Regression on Population, Affluence, and Technology model (STIRPAT). The STIRPAT model has been frequently utilized to examine environmental influences on socioeconomic factors [ 36 ] and to identify factors that affect the indicators associated with the environment [ 37 , 38 ].…”

Section: Models and Datamentioning

confidence: 99%

“…In this regard, such estimation becomes less reliable and accurate. Similar to the methods in Dai et al [ 20 ], this study applies the SDID model to evaluate the comprehensive effects of this program on the GTFEE by incorporating both the direct effects on pilot cities and the spillover effects on neighboring areas. The corresponding SDID model is formulated as follows:

where

is the GTFEE of sample city i in year t , and

represents the i th control variable with the total number of k .…”

Section: Models and Datamentioning

confidence: 99%

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The Low-Carbon Policy and Urban Green Total Factor Energy Efficiency: Evidence from a Spatial Difference-in-Difference Method

Gao

Cao

Liu

2023

IJERPH

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In the post-epidemic background of the low-carbon economy and sustainable development, the low-carbon city pilot program (LCCP) is viewed as a practical method of improving energy efficiency. This study explores the spatial spillover effects of LCCP on green total factor energy efficiency (GTFEE) by developing a spatial difference-in-difference (SDID) model. Furthermore, we apply the mediating effects model to verify whether the rational allocation of resources is an influential channel for the spillover effect of LCCP policies. The results indicate that the LCCP policy has not only improved the local GTFEE by approximately 1.8%, but it also has a profound impact on the surrounding regions as well, which is about 76.5% that of the pilot cities. Additionally, the estimated results of the mediating effect model indicate that optimizing labor force and capital allocations are two essential channels through which the LCCP policy may contribute to improving regional cities’ GTFEE. Accordingly, the pilot cities should establish specific measures for rational resource allocation and promote the spatial spillover model of sustainable development.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Models and Datamentioning

confidence: 99%

where

is the GTFEE of sample city i in year t , and

represents the i th control variable with the total number of k .…”

Section: Models and Datamentioning

confidence: 99%

See 1 more Smart Citation

The Low-Carbon Policy and Urban Green Total Factor Energy Efficiency: Evidence from a Spatial Difference-in-Difference Method

Gao

Cao

Liu

2023

IJERPH

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“…There remains uncertainty regarding the extent to which the effectiveness of the CETS policy in developed countries can be replicated in developing nations marked by incomplete market mechanisms. Some studies have proved that China's CETS has effectively played a role in reducing emissions [ [10] , [11] , [12] , [13] ], and elaborated its mechanism from the following aspects such as green innovation [ 14 , 15 ], energy consumption [ 12 , 16 ], and industrial structure [ 12 , 15 ]. However, it is still difficult to determine whether these effects entirely come from market incentives.…”

Section: Introductionmentioning

confidence: 99%

Political incentives in market-based environmental regulation: Evidence from China’s carbon emissions trading scheme

Bai,

Ma,

Wang

et al. 2024

Heliyon

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“…Section 5 presents the key nding and the policy implications. Similarly, other research has employed a spatial regression analysis to reveal a strong correlation between GDP and carbon emissions from energy usage (Dai et al 2022). Using a correlation model, another study has demonstrated that economic progress was a signi cant in uencing driver impacting carbon emissions (Lin et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Does economic growth the cause of climate change or the cure? A spatial mediation-moderation model of foreign investment and eco-innovation orientation

AMARA,

Qiao

2023

Preprint

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Economic growth is frequently held responsible for environmental problems. Some believe the relationship between ecological damage and economic growth is more complicated than others. Some even contend that economic growth might help the environment. Therefore, moving toward a greener economy depends heavily on environmental advancements. However, despite increased eco-innovation activities and attracting foreign investments, the ecological situation is not improving. In this respect, re-evaluating the problem from a different perspective is critical. Can the mediation-moderation effect of foreign investment and eco-innovation orientation develop and support economic growth to cure the environment? Therefore, this paper first uses the geographic Durbin model to examine the effects of economic growth on carbon emissions for nine countries in the MENA region for 20 years. Second, the present research investigates the mediation effect of eco-innovation. Third, this article uses the spatial stepwise regression model to explore the moderating function of FDI on the mediation model. The outcomes of this research are that: (i) Economic growth positively impacts carbon emissions. (ii) Eco-innovation mediates the relationship between economic growth and carbon emissions. (iii) FDI has a dual moderating effect on the mediation model. This paper depicts an indispensable move towards grasping the current climate change risk and supporting the sustainability transition. Finally, several policy implications were presented based on this study's research findings.

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The spatial spillover effect of China's carbon emissions trading policy on industrial carbon intensity: Evidence from a spatial difference-in-difference method

Cited by 53 publications

References 34 publications

The Low-Carbon Policy and Urban Green Total Factor Energy Efficiency: Evidence from a Spatial Difference-in-Difference Method

The Low-Carbon Policy and Urban Green Total Factor Energy Efficiency: Evidence from a Spatial Difference-in-Difference Method

Political incentives in market-based environmental regulation: Evidence from China’s carbon emissions trading scheme

Does economic growth the cause of climate change or the cure? A spatial mediation-moderation model of foreign investment and eco-innovation orientation

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