The green paradox puzzle: fiscal decentralisation, environmental regulation, and agricultural carbon intensity in China

Deng, Xin; Li, Chuan; Yan, Zhongcheng; Kong, Fangxia; Qi, Yanbin

doi:10.1007/s11356-022-21149-2

Cited by 23 publications

(7 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, another view, represented by the "green paradox", points out that the PH does not necessarily hold all the time (Sinn, 2008). For example, He et al (2022) used the ratio of investment in environmental pollution control to GDP to represent environmental regulation, and found that environmental regulation was not conducive to reducing the agricultural carbon intensity under the influence of fiscal decentralization. In addition, several studies have suggested that the impact of environmental regulations on CEE could be non-linear and spatially correlated.…”

Section: Literature Reviewmentioning

confidence: 99%

How does environmental regulation impact low-carbon transition? Evidence from China’s iron and steel industry

Wang¹,

Chen²,

Dong³

et al. 2023

Ann Oper Res

View full text Add to dashboard Cite

Comprehensive evaluation and identification of the critical regulatory determinants of carbon emission efficiency (CEE) are very important for China's low-carbon transition. Accordingly, this paper first employs an undesirable global super-hybrid measure approach to calculate the CEE of China's iron and steel industry (ISI). We then further use spatial error and threshold regression models to examine the spatial and non-linear effects of heterogeneous environmental regulations on CEE, respectively. Our empirical results show that (1) CEE varies significantly across China's regions, with the eastern region having the highest CEE score, followed by the western and central regions, with the northeast region ranking the lowest; (2) command-and-control and market-incentive regulations both promote CEE, whereas the public participation approach does not significantly contribute to performance gains; (3) all three types of environmental regulations exhibit a non-linear threshold effect on CEE; (4) openness level, technological progress, and industrial concentration enhance efficiency gains, while urbanization level exerts a negative impact on CEE. Our findings have important implications for the design of environmental regulations.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

How does environmental regulation impact low-carbon transition? Evidence from China’s iron and steel industry

Wang¹,

Chen²,

Dong³

et al. 2023

Ann Oper Res

View full text Add to dashboard Cite

show abstract

“…We used the method of replacing variables to regress Equations ( 1) and (2) again for testing the robustness of the above benchmark regression results. According to previous research methods, we replaced formal environmental regulations with the proportion of total investment in environmental governance in GDP [78]. Since only the data from 2005 to 2017 can be obtained in the 'China Environmental Statistics Yearbook,' we selected the above available data for regression, and also expanded the sample size.…”

Section: Robustness Testmentioning

confidence: 99%

The Effect of Heterogeneous Environmental Regulations on Carbon Emission Efficiency of the Grain Production Industry: Evidence from China’s Inter-Provincial Panel Data

Fan

2022

Sustainability

View full text Add to dashboard Cite

Examining the impact of heterogeneous environmental regulations on the carbon emission efficiency of the grain production industry will help to provide a theoretical basis and decision-making reference for achieving the goal of carbon peaking and sustainable agricultural development. Based on the panel data of 30 provinces in China, the DEA-SBM method was used to measure the grain production industry’s carbon emission efficiency from 2011 to 2019. Separating environmental regulations into formal environmental regulations and informal environmental regulations in two parts, then the two-way fixed effect model, threshold effect model, and intermediary effect model are used to test the influence of heterogeneous environmental regulations on the grain production industry’s carbon emission efficiency. The results show that: (1) the grain production industry’s carbon emission efficiency continues to improve but still has space for improvement. (2) the relationship between formal environmental regulations and the grain production industry’s carbon emission efficiency exhibits a “U-shaped” curve; informal environmental regulations have a significantly positive effect on improving the grain production industry’s carbon emission efficiency. The conclusion is still valid after the robustness test. (3) A threshold mechanism test found that there is a single threshold effect between the formal environmental regulations and the grain production industry’s carbon emission efficiency, but it does not cross the “U” inflection point. (4) there is a “U” shaped non-linear mediating effect in the influence of formal environmental regulations on the grain production industry’s carbon emission efficiency; informal environmental regulations also have an intermediary transmission path of production agglomeration of the grain production industry. This study supplies a new perspective for promoting the grain production industry’s carbon emission efficiency.

show abstract

“…33 Zhang and Chen (2022) showed that environmental regulation intensity has the highest variance contribution to carbon stress level, which is 28.1% in China mainland. 34 He et al (2022) showed that both fiscal decentralization and environmental regulation can reduce agricultural carbon intensity, and environmental regulation has a negative spatial spillover effect in Mainland China. 35 Liu et al (2022) showed that environmental regulation suppresses local manufacturing carbon emissions in China.…”

Section: Literature Review and Theoretical Hypothesismentioning

confidence: 99%

“…34 He et al (2022) showed that both fiscal decentralization and environmental regulation can reduce agricultural carbon intensity, and environmental regulation has a negative spatial spillover effect in Mainland China. 35 Liu et al (2022) showed that environmental regulation suppresses local manufacturing carbon emissions in China. 36 In contrast, some studies have found that environmental regulations produce "innovation compensation" and "compliance cost" effects, which regularly fluctuate back and forth.…”

Section: Literature Review and Theoretical Hypothesismentioning

confidence: 99%

The effects of oxygen index on soot formation of ethylene, propane and their mixtures in coflow diffusion flames

Zheng

Hui

Xue

et al. 2022

Energy & Environment

View full text Add to dashboard Cite

Oxygen index (OI) effects on soot formation and oxidation of ethylene, propane and their mixtures were investigated in coflow diffusion flames. Experimental results show that the peak soot volume fraction (SVF) firstly increases and then reaches the plateau region as OI increases from 0.21 to 0.42 in ethylene and 90%ethylene/10%propane mixture flames. However, the peak SVF firstly increases and then decreases with the increase of OI in propane flame. All these three cases present a consistent trend in terms of maximum soot yield which increases first and then decreases as OI increases. Synergistic effect was captured in ethylene/propane mixtures while it was firstly enhanced and then mitigated when OI increases in the investigated OI range. Numerical simulations were also conducted. A significant relationship was found among flame temperature, O2 mole fraction and SVF in terms of their spatial gradients. The non-linear trends of SVF and soot yield with OI can be attributed to the competition between soot formation and oxidation. Such competition was also indicated from polycyclic aromatic hydrocarbons (PAHs) growth. Numerical analyses revealed that small radicals including O, CH2 and C6H5 contribute to the non-linear changes of PAHs in the synergistic effect.

show abstract

The green paradox puzzle: fiscal decentralisation, environmental regulation, and agricultural carbon intensity in China

Cited by 23 publications

References 69 publications

How does environmental regulation impact low-carbon transition? Evidence from China’s iron and steel industry

How does environmental regulation impact low-carbon transition? Evidence from China’s iron and steel industry

The Effect of Heterogeneous Environmental Regulations on Carbon Emission Efficiency of the Grain Production Industry: Evidence from China’s Inter-Provincial Panel Data

The effects of oxygen index on soot formation of ethylene, propane and their mixtures in coflow diffusion flames

Contact Info

Product

Resources

About