Effects of Air Pollution Control on Urban Development Quality in Chinese Cities Based on Spatial Durbin Model

Feng, Yanchao; Du, Wenchao; Liu, Jun

doi:10.3390/ijerph15122822

Cited by 19 publications

(16 citation statements)

References 37 publications

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“…ɛ is the disturbance vector of random errors from the regression model, which considers an autoregressive spatial process in the error term for the spatial model, where λ the autoregressive coefficient of the error terms; while u is a vector of independent and identically distributed error terms 78 – 80 . As ordinary least-squares regression (OLS) is unsuitable for spatial regression models because it assumes independence among observations 60 , 81 , the proposed SDEM relies on the maximum likelihood estimation 77 , suitable to estimate the significance and magnitude of spatial lags 59 , 81 . Therefore, spatial lags in the proposed model approach constitute the pericoupling effects of independent variables X of a given municipality j over the dependent variable y in the neighboring municipality i .…”

Section: Methodsmentioning

confidence: 99%

Socioeconomic and environmental effects of soybean production in metacoupled systems

Silva

Viña

Moran

et al. 2021

Sci Rep

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Human–environment interactions within and across borders are now more influential than ever, posing unprecedented sustainability challenges. The framework of metacoupling (interactions within and across adjacent and distant coupled human–environment systems) provides a useful tool to evaluate them at diverse temporal and spatial scales. While most metacoupling studies have so far addressed the impacts of distant interactions (telecouplings), few have addressed the complementary and interdependent effects of the interactions within coupled systems (intracouplings) and between adjacent systems (pericouplings). Using the production and trade of a major commodity (soybean) as a demonstration, this paper empirically evaluates the complex effects on deforestation and economic growth across a globally important soybean producing region (Mato Grosso in Brazil). Although this region is influenced by a strong telecoupling process (i.e., soybean trade with national and international markets), intracouplings pose significant effects on deforestation and economic growth within focal municipalities. Furthermore, it generates pericoupling effects (e.g., deforestation) on adjacent municipalities, which precede economic benefits on adjacent systems, and may occur during and after the soybean production takes place. These results show that while economic benefits of the production of agricultural commodities for global markets tend to be localized, their environmental costs tend to be spatially widespread. As deforestation also occurred in adjacent areas beyond focal areas with economic development, this study has significant implications for sustainability in an increasingly metacoupled world.

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Section: Methodsmentioning

confidence: 99%

Socioeconomic and environmental effects of soybean production in metacoupled systems

Silva

Viña

Moran

et al. 2021

Sci Rep

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“…The existing literature includes spatial analyses of urban air pollution and air pollution control. Based on a panel covering 285 cities, Feng et al [34] utilized the spatial Durbin model to examine the spatial spillover effect of air pollution control on urban development quality in China, providing evidence of heterogeneity within different spatial regions in China. Fang et al [35] later discovered the unintended spillover effects of regional air pollution policies on mitigating air pollution in urban areas.…”

Section: Spatial Spillover Effects Of Air Pollution In Chinamentioning

confidence: 99%

The Impact of Air Pollution on Domestic Tourism in China: A Spatial Econometric Analysis

Dong

et al. 2019

Sustainability

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This study utilizes a spatial econometric model to analyze the impact of air pollution on domestic tourism in China. Based on a panel dataset covering 337 cities from 2004–2013, this study derives the following findings. (1) Air pollution significantly reduces domestic tourist arrivals in the local city. On average, if the concentration of PM 2.5 (particulate matter equal to or less than 2.5 micrometers in width) in one city increases by 1 μ g/m 3 , the number of domestic tourists to the city declines by 0.7%. (2) Air pollution demonstrates significant spatial spillover effects. If the PM 2.5 in other cities simultaneously increases by 1 μ g/m 3 , the number of domestic tourists traveling to the local city rises by 4.1%. (3) The magnitude of the spillover effects of air pollution is larger than the negative direct effects on local cities. This study suggests that enhancing air quality in the local area will effectively promote the domestic tourism industry in the local city. In addition, it is implied that a simultaneous improvement in the air quality in all cities might not lead to an increase in the number of domestic tourist arrivals. Thus, in order to deal with the spillover effects of air pollution on the domestic tourism industry, local governments should make efforts to develop cross-city or cross-region tourism.

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“…With the rapid development of urbanization, industrialization, and motorization, Chinese cities have been heavily polluted (Feng et al 2018;Wang et al 2018;Liu et al 2018a). According to the report on the State of the Ecology and Environment in China (http:// english.mee.gov.cn/Resources/Reports/soe/), in 2015-2018, the average concentrations of PM 2.5 , PM 10 , O 3 , SO 2 , NO 2 and CO were 47 lg/m 3 , 81 lg/ m 3 , 151 lg/m 3 , 20 lg/m 3 , 35 lg/m 3 , and 1.8 mg/m 3 , respectively.…”

Section: Introductionmentioning

confidence: 99%

Short-term effect of NO2 on outpatient visits for dermatologic diseases in Xinxiang, China: a time-series study

Chao

et al. 2021

Environ Geochem Health

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Objectives As the largest organ of the human body, the skin is the major exposure route of NO 2. However, the evidence for a relationship between NO 2 exposure and dermatologic diseases (DMs) is limited. This time-series study was conducted to assess the shortterm effect of nitrogen dioxide (NO 2) exposure on DMs outpatient visits in Xinxiang, China. Methods Daily recordings of NO 2 concentrations, meteorological data, and the outpatient visits data for DMs were collected in Xinxiang from January 1st, 2015, to December 31st, 2018. The analysis method used was based on the generalized additive model (GAM) with quasi-Poisson regression to investigate the relationship between NO 2 exposure and DMs outpatient visits. Several covariates, such as long-term trends, seasonality, and weather conditions were controlled. Results A total of 164,270 DMs outpatients were recorded. A 10 lg/m 3 increase in NO 2 concentrations during the period was associated with a 1.86% increase in DMs outpatient visits (95% confidence intervals [Cl]: 1.06-2.66%). The effect was stronger (around 6 times) in the cool seasons than in warmer seasons and younger patients (\ 15 years of age) appeared to be more vulnerable. Conclusions The findings of this study indicate that short-term exposure to NO 2 increases the risk of DMs in Xinxiang, China, especially in the cool seasons. Policymakers should implement more stringent air quality standards to improve air quality.

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Effects of Air Pollution Control on Urban Development Quality in Chinese Cities Based on Spatial Durbin Model

Cited by 19 publications

References 37 publications

Socioeconomic and environmental effects of soybean production in metacoupled systems

Socioeconomic and environmental effects of soybean production in metacoupled systems

The Impact of Air Pollution on Domestic Tourism in China: A Spatial Econometric Analysis

Short-term effect of NO2 on outpatient visits for dermatologic diseases in Xinxiang, China: a time-series study

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