Has the emissions intensity of industrial sulphur dioxide converged? New evidence from China’s prefectural cities with dynamic spatial panel models

Nan, Yongqing; Li, Qin; Yu, Jinxiang; Cai, Haiya; Zhou, Qin

doi:10.1007/s10668-019-00427-z

Cited by 13 publications

(2 citation statements)

References 101 publications

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“…The global Moran's I illustrates the overall distribution characteristics, but cannot reflect the local spatial autocorrelation (Nan et al., 2020). To explain further the local spatial characteristics of various cities in China, this study uses the local Moran's I to conduct local spatial autocorrelation analysis by the Moran scatter plot.…”

Section: Resultsmentioning

confidence: 99%

How does industrial agglomeration affect regional innovation? A spatial econometric analysis

Yang

Liu

2023

Growth and Change

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This study empirically investigates the direct and indirect (spillover) effects of three types of industrial agglomeration with different cognitive distances, namely, industrial specialization, industrial related variety, and industrial unrelated variety, on regional innovation. Accordingly, we applied the concepts of related and unrelated variety and used spatial econometric analysis. Based on panel data of 283 Chinese cities from 2004 to 2016, the empirical results reveal that both industrial specialization and industrial related variety significantly improve regional innovation and produce positive spatial spillover effects on the surrounding regions. However, industrial unrelated variety has a significant negative impact on regional innovation and produces a negative spatial spillover effect on the surrounding regions. Moreover, the direct and indirect effects of the three types of industrial agglomeration on regional innovation between China's coastal and inland cities. The findings have important theoretical and policy implications.

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Section: Resultsmentioning

confidence: 99%

How does industrial agglomeration affect regional innovation? A spatial econometric analysis

Yang

Liu

2023

Growth and Change

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“…Among them, the mediating effect of directing investment toward green assets is the strongest [ 46 ]. Because of the spatial spillover effect of the harm caused by the accelerated SO 2 emissions [ 47 ], Du Gang et al (2021) showed that ETS significantly stimulated green utility innovation in and around the pilot areas and that there was a masking effect of government intervention in the process [ 48 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Sulfur dioxide emissions curbing effects and influencing mechanisms of China’s emission trading system

Yao

Li²,

Zhong³

2022

PLoS ONE

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The emissions trading system, a crucial and fundamental system reform in the environmental resources field of China, was established to promote the continuous and effective reduction of total emissions of major pollutants. In this context, based on the panel data of 285 Chinese cities (except Tibet) from 2004 to 2018, this paper uses the quasi-experimental method of Difference in Difference to assess the effect of the emissions trading system introduced on sulfur dioxide emissions of China and the transmission mechanism. The article generates several intriguing findings. (1) The emissions trading system has a significant suppressive effect on sulfur dioxide emissions. (2) Mechanistic tests show that the emissions trading system can effectively suppress sulfur dioxide emissions by reducing government intervention, stimulating green patent innovation, and improving resource use efficiency, in which green utility patents have a masking effect. (3) From the east, central and west divisions, the emissions trading system has a significant suppression effect on sulfur dioxide emission in the eastern and central regions, and the eastern region is better than the central region. (4) In terms of factor endowment, the emissions trading system has a significant suppression effect on sulfur dioxide emissions in both resource-based and non-resource-based cities, with non-resource-based cities outperforming resource-based cities; while within resource-based effect exists only in regenerative cities. (5) The emissions trading system has a significant suppression effect on sulfur dioxide emissions in old and non-old industrial base cities in industrial base zoning. The suppression effect in non-old industrial base cities is better than that in old industrial base cities. This paper provides empirical evidence for evaluating the emissions trading system at the provincial level in China and suggests policy recommendations for selecting government tools to effectively curb sulfur dioxide emissions. Although the emissions trading system has made an outstanding contribution to sulfur dioxide emissions reduction, there is still much space for further development of potential emission reductions.

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Identifying resource and environmental carrying capacity in the Yangtze River Economic Belt, China: the perspectives of spatial differences and sustainable development

Zou

2021

Environ Dev Sustain

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Has the emissions intensity of industrial sulphur dioxide converged? New evidence from China’s prefectural cities with dynamic spatial panel models

Cited by 13 publications

References 101 publications

How does industrial agglomeration affect regional innovation? A spatial econometric analysis

How does industrial agglomeration affect regional innovation? A spatial econometric analysis

Sulfur dioxide emissions curbing effects and influencing mechanisms of China’s emission trading system

Identifying resource and environmental carrying capacity in the Yangtze River Economic Belt, China: the perspectives of spatial differences and sustainable development

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