Intergovernmental competition, industrial spatial distribution, and air quality in China

Tan, Guangrong; Cao, Yanmin; Xie, Rui; Fang, Jiayu

doi:10.1016/j.jenvman.2022.114721

Cited by 20 publications

(4 citation statements)

References 37 publications

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“…The increase of high-emission enterprises in the area and the reduction of investment related to scienti c research and innovation will cause a rise in carbon emissions under the same economic output. On the other hand, local governments could be more likely to participate in a "race to the bottom" to achieve a greater competitive edge (Tan et al 2022). Local governments worry that neighboring areas may decrease their emissions regulations in order to draw in industrial transfer, so they will further lower environmental standards in their jurisdictions (Konisky 2009) or collude with companies (Fan and Tian 2016;…”

Section: )mentioning

confidence: 99%

the Impact of vertical fiscal asymmetry on carbon emissions in China

Zhao

Liu

Jin-guang

2023

Preprint

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Facing the double pressure of promoting economic growth and achieving the goal of "emission peak" by 2030, China must cut down the carbon emission intensity. Focusing on the typical characteristics of China's financial system arrangement, we theoretically analyze the mechanism of vertical fiscal asymmetry affecting carbon emission intensity through environmental regulation, land finance and local government competition, and use a panel data from 30 Chinese provinces to conduct an empirical examination. The results show: (1) Vertical fiscal asymmetry significantly increases the local carbon emission intensity. After a series of robust tests, such as replacement variables and sample data, the conclusion is still valid. (2) The analysis of regional heterogeneity shows that the influence of vertical fiscal asymmetry in carbon emission intensity is the largest in the central area of China, followed by the eastern provinces, and not evident in the western area. The rise in carbon emission intensity brought on by vertical fiscal asymmetry can be successfully reduced by the central transfer payment. The impact of vertical fiscal asymmetry on carbon emission intensity will be greatly lessened when the central transfer payment surpasses the threshold. (3) The mechanism test shows that vertical fiscal asymmetry increases the carbon emissions intensity by three paths: reducing the intensity of environmental regulation, strengthening local governments' dependence on land finance and local government competition.

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Section: )mentioning

confidence: 99%

the Impact of vertical fiscal asymmetry on carbon emissions in China

Zhao

Liu

Jin-guang

2023

Preprint

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“…Among them, the Beijing-Tianjin-Hebei region is not only a representative area of China's economic development but also a typical area with serious air pollution [41]. Due to the high population density in the region, the proportion of heavy industry [42], industrial transfer [43], and other factors, the air environment problem has become increasingly prominent. While the Beijing-Tianjin-Hebei region has coordinated economic development [44], air quality be- China's major urban agglomerations with high levels of economic development are Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta.…”

Section: Study Area and Data Descriptionmentioning

confidence: 99%

Spatiotemporal Hybrid Air Pollution Early Warning System of Urban Agglomeration Based on Adaptive Feature Extraction and Hesitant Fuzzy Cognitive Maps

Fan

2023

Systems

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Long-term exposure to air pollution will pose a serious threat to human health. Accurate prediction can help people reduce exposure risks and promote environmental pollution control. However, most previous studies have ignored the spatial spillover of air pollution, i.e., that the current region’s air quality is also correlated with that of geographically adjacent areas. Therefore, this paper proposes an innovative spatiotemporal hybrid early warning system based on adaptive feature extraction and improved fuzzy cognition maps. Firstly, a spatial spillover analysis model based on the Moran index and local gravitational clustering was proposed to capture the diffusion and concentration characteristics of air pollution between regions. Then, an adaptive feature extraction model based on an optimized Hampel filter was put forward to process and correct the outliers in the original series. Finally, a hesitant fuzzy information optimized fuzzy cognitive maps model was proposed to forecast the air quality of urban agglomeration. The experimental results show that the air quality forecasting accuracy of urban agglomerations can be significantly improved when the geographical conditions and other interactions among cities are comprehensively considered, and the proposed model outperformed other benchmarks and can be used as a powerful analytical tool during urban agglomeration air quality management.

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“…Scholars began to focus on inter-regional industrial transfers and conducted many useful explorations in terms of scale measurement, spatial characteristics, and realization paths [ 5 , 6 , 7 ]. Tan G. et al conducted a two-dimensional analysis of the driving mechanism and preferred areas of industrial transfers [ 8 ]. Their team refined the evolution path of China’s industrial transfer and the interaction between the symbiotic system and the symbiotic environment of the industrial transfer.…”

Section: Literature Review and Theoretical Mechanismmentioning

confidence: 99%

Booster or Killer? Research on Undertaking Transferred Industries and Residents’ Well-Being Improvements

Ding

Chen

et al. 2022

IJERPH

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Inter-regional industrial transfers would change the economic, societal, and ecological environment of the undertaking area profoundly. Some experts have recognized the ecological and environmental problems caused by industrial transfers. However, there are few studies on whether undertaking an industrial transfer will ultimately improve the well-being of residents. There is a strong application value for exploring this issue under the domestic cycle in China. This paper uses the shift-share analysis method to measure China’s inter-provincial industrial transfer from 2004 to 2019. According to the subjective and objective indicators, the article measures the level of residents’ well-being. A spatial econometric model is used to empirically test the impact of undertaking transferred industries on residents’ well-being and its mechanism. The results show that: 1. There is a significant spatial positive correlation between the well-being of residents at the national level. The empirical results also indicated significant spatial correlations at the level of the three major economic belts in the east, central, west, and northeast; 2. From the perspective of China as a whole, the inter-regional industrial transfer improved the well-being of the residents significantly, but the indirect negative effect reduced the total effect; 3. From the regional perspective, undertaking a transferred industry could significantly improve the well-being of residents in the central and eastern regions. However, in the northeast and western regions, it showed a serious negative effect. We should enhance the orderly transfer of industries deeply, considering the ecological and environmental capacities of the undertaking area fully and strictly limiting the inter-regional transfer of polluting industries. Only in this way could the government improve the well-being of residents in the industrial transfer-out areas and undertake areas effectively.

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Intergovernmental competition, industrial spatial distribution, and air quality in China

Cited by 20 publications

References 37 publications

the Impact of vertical fiscal asymmetry on carbon emissions in China

the Impact of vertical fiscal asymmetry on carbon emissions in China

Spatiotemporal Hybrid Air Pollution Early Warning System of Urban Agglomeration Based on Adaptive Feature Extraction and Hesitant Fuzzy Cognitive Maps

Booster or Killer? Research on Undertaking Transferred Industries and Residents’ Well-Being Improvements

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