Influence and spillover effect of industrial eco-efficiency on PM2.5 pollution

Li, Zaijun; Hu, Meijuan; Zhang, Aiping; Zhou, Nina

doi:10.31497/zrzyxb.20210315

Cited by 7 publications

(1 citation statement)

References 16 publications

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“…The five major dimensional indicators are based on the comprehensive evaluation model [32] to obtain the comprehensive index of high-quality development of each city as the expected output. The non-expected output is expressed as the emission of environmental pollution, which has been studied mainly in three dimensions: solid waste emission, wastewater emission, and exhaust gas emission, while PM2.5 has been shown to be more related to industrial eco-efficiency [33], so this study adds PM2.5 to characterize air quality, with a total of four non-expected output indicators. With reference to the relevant literature [34] and model applicability, non-desired outputs such as PM2.5, industrial wastewater, SO 2 , and soot (dust) emissions are integrated as a composite index of industrial pollution as an environmental cost to measure the negative externalities of the input process.…”

Section: High Quality Welfare Levelmentioning

confidence: 99%

Temporal and Spatial Evolution and Driving Mechanism of Urban Ecological Welfare Performance from the Perspective of High-Quality Development: A Case Study of Jiangsu Province, China

Fang

Xie

2022

Land

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Based on the concept of high-quality development, this paper constructs an urban ecological welfare evaluation framework, measures the urban ecological welfare performance in Jiangsu Province from 2005 to 2019 using a stochastic frontier production function model, and conducts a spatial and temporal divergence feature analysis, combining a spatial panel econometric model and a threshold panel regression model to explore the spatial effects and mechanisms of urban ecological welfare performance. The results show that: (1) The urban ecological welfare performance in Jiangsu province has been increasing every year, and the spatial divergence between north and south is significant, with the overall trend of southern Jiangsu > central Jiangsu > northern Jiangsu. (2) The differences in urban ecological welfare performance among the three regions are gradually decreasing, with the high values expanding and the low values decreasing, and the urban ecological welfare performance in northern Jiangsu Province is gradually approaching that in southern Jiangsu Province, and the urban ecological welfare performance level tends to be balanced. (3) There are significant negative spillover effects of industrial structure, city scale, and economic development level on urban ecological welfare performance, as well as significant threshold effects of innovation level, industrial structure, foreign trade dependence, and economic development, and significant differences in the degree of influence of urbanization on urban ecological welfare performance under different threshold variables. (4) The urbanization and economic development levels are the fundamental factors driving urban ecological welfare performance improvement. Industrial structure optimization, city scale, technological innovation, and foreign trade dependence positively contribute to urban welfare performance, and government financial pressure constrains the performance level improvement. In the future, a long-term mechanism for high-quality green development should be constructed, spatial spillover channels should be continuously improved, welfare thresholds should be effectively circumvented, and urban ecological welfare performance should be promoted in a concerted manner.

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Section: High Quality Welfare Levelmentioning

confidence: 99%