scholarly journals A Neural Network Evidence of the Nexus Among Air Pollution, Economic Growth, and COVID-19 Deaths in the Hubei Area

2021 ◽  
Vol 02 (02) ◽  
pp. 1-1
Author(s):  
Cosimo Magazzino ◽  
◽  
Marco Mele ◽  
Keyword(s):  
Neural Network ◽  
Economic Growth ◽  
Air Pollution ◽  
Fine Particles ◽  
Hubei Province ◽  
Daily Data ◽  
Neural Connection ◽  
The Relationship ◽  
Predictive Relationship ◽  
And Diffusion

In this study, we used an image neural network model to assess the relationship between economic growth, pollution (PM2.5, PM10, and CO2), and deaths from COVID-19 in the Hubei area (China). Data analysis, neural network analysis, and deep learning experiments were carried out to assess the relationship among COVID-19 deaths, air pollution, and economic growth in China (Hubei province, the epicenter of the COVID-19 pandemic). We collected daily data at a city level from January 20 to July 31, 2020. We used main cities in the Hubei province, with data on confirmed COVID-19 deaths, air pollution (expressed in µg/m3 as PM2.5, PM10, and CO2), and per capita economic growth. Following the most recent contributions on the relationship among air pollution, GDP, and diffusion of COVID-19, we generated an algorithm capable of identifying a neural connection among these variables. The results confirmed a strong predictive relationship for the Hubei area between changes in the economic growth, fine particles, and deaths from COVID-19. These results would recommend adequate environmental reforms to policymakers to contain the spread and adverse effects of the virus. Therefore, there is a requirement to reconsider the system of transport and return to production by combining it with economic growth to protect the planet.

scholarly journals Decoupling Analysis between Economic Growth and Air Pollution in Key Regions of Air Pollution Control in China

2021 ◽  
Vol 13 (12) ◽  
pp. 6600
Author(s):  
Jing Li ◽  
Lipeng Hou ◽  
Lin Wang ◽  
Lina Tang
Keyword(s):  
Economic Growth ◽  
Air Pollution ◽  
Economic Development ◽  
Pollution Control ◽  
Environmental Policies ◽  
River Delta ◽  
Chinese Government ◽  
Air Pollution Control ◽  
The Relationship ◽  
No2 Pollution

The Chinese government has implemented a number of environmental policies to promote the continuous improvement of air quality while considering economic development. Scientific assessment of the impact of environmental policies on the relationship between air pollution and economic growth can provide a scientific basis for promoting the coordinated development of these two factors. This paper uses the Tapio decoupling theory to analyze the relationship between regional economic growth and air pollution in key regions of air pollution control in China—namely, the Beijing–Tianjin–Hebei region and surrounding areas (BTHS), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD)—based on data of GDP and the concentrations of SO2, PM10, and NO2 for 31 provinces in China from 2000 to 2019. The results show that the SO2, PM10, and NO2 pollution in the key regions show strong and weak decoupling. The findings additionally indicate that government policies have played a significant role in improving the decoupling between air pollution and economic development. The decoupling between economic growth and SO2 and PM10 pollution in the BTHS, YRD, and PRD is better than that in other regions, while the decoupling between economic growth and NO2 pollution has not improved significantly in these regions. To improve the relationship between economic growth and air pollution, we suggest that the governments of China and other developing countries should further optimize and adjust the structure of industry, energy, and transportation; apply more stringent targets and measures in areas of serious air pollution; and strengthen mobile vehicle pollution control.

scholarly journals The use of a neural network for studying the relationship between air pollution and asthma-related emergency room visits

1998 ◽  
Vol 92 (10) ◽  
pp. 1199-1202 ◽  
Author(s):  
A. Nutman ◽  
Y. Solomon ◽  
S. Mendel ◽  
J. Nutman ◽  
E. Hines ◽  
...  
Keyword(s):  
Neural Network ◽  
Air Pollution ◽  
Emergency Room ◽  
Emergency Room Visits ◽  
The Relationship

scholarly journals Growth, Pollution, and Life Expectancy: China from 1991–2012

2015 ◽  
Vol 105 (5) ◽  
pp. 226-231 ◽  
Author(s):  
Avraham Ebenstein ◽  
Maoyong Fan ◽  
Michael Greenstone ◽  
Guojun He ◽  
Peng Yin ◽  
...  
Keyword(s):  
Economic Growth ◽  
Air Pollution ◽  
Life Expectancy ◽  
Positive Association ◽  
Mortality Rates ◽  
Negative Association ◽  
Particulate Air Pollution ◽  
Air Pollution Exposure ◽  
Pollution Exposure ◽  
The Relationship

This paper examines the relationship between income, pollution, and mortality in China from 1991-2012. Using first-difference models, we document a robust positive association between city-level GDP and life expectancy. We also find a negative association between city-level particulate air pollution exposure and life expectancy that is driven by elevated cardiorespiratory mortality rates. The results suggest that while China's unprecedented economic growth over the last two decades is associated with health improvements, pollution has served as a countervailing force.

scholarly journals The Relationship Between the Actual Level of Air Pollution and Residents’ Concern about Air Pollution: Evidence from Shanghai, China

2019 ◽  
Vol 16 (23) ◽  
pp. 4784 ◽  
Author(s):  
Daxin Dong ◽  
Xiaowei Xu ◽  
Wen Xu ◽  
Junye Xie
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Index ◽  
Air Quality Index ◽  
Pollution Level ◽  
Daily Data ◽  
Internet Search Engine ◽  
Beneficial Impact ◽  
Local Residents ◽  
The Relationship

This study explored the relationship between the actual level of air pollution and residents’ concern about air pollution. The actual air pollution level was measured by the air quality index (AQI) reported by environmental monitoring stations, while residents’ concern about air pollution was reflected by the Baidu index using the Internet search engine keywords “Shanghai air quality”. On the basis of the daily data of 2068 days for the city of Shanghai in China over the period between 2 December 2013 and 31 July 2019, a vector autoregression (VAR) model was built for empirical analysis. Estimation results provided three interesting findings. (1) Local residents perceived the deprivation of air quality and expressed their concern on air pollution quickly, within the day on which the air quality index rose. (2) A decline in air quality in another major city, such as Beijing, also raised the concern of Shanghai residents about local air quality. (3) A rise in Shanghai residents’ concern had a beneficial impact on air quality improvement. This study implied that people really cared much about local air quality, and it was beneficial to inform more residents about the situation of local air quality and the risks associated with air pollution.

scholarly journals TRADE-OFF ANALYSIS OF ECONOMIC GROWTH AND AIR POLLUTION EFFECTING DECREASE OF POOR ENVIRONMENTAL QUALITY IN SUMATERA UTARA PROVINCE

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Benni Sinaga
Keyword(s):  
Water Pollution ◽  
Economic Growth ◽  
Air Pollution ◽  
Soil Contamination ◽  
Environmental Quality ◽  
Negative Impact ◽  
Positive Impact ◽  
Series Data ◽  
The Relationship

The development of economic activities will certainly have a positive impact on increasing economic growth and also have a negative impact on pollution each year, will certainly affect the quality of the environment in the province of North Sumatera . This study aims to analyze the relationship and influence of the GDP, water pollution, air pollution and soil contamination on environmental quality in North Sumatera  province both simultaneously and partially. The data used are secondary data from BPS Sumatera  and North Sumatera  Environmental Agency in the form of time series data from 2004 to 2014. Correlation analysis using correlation with SPSS version 20. Results of correlation coefficient analysis in this study explains that economic growth (0.945), water pollution (0.969), air pollution (0.903) have the relationship is very strong, while soil contamination ( 0.803) have a strong closeness with the quality of the environment in the province of North Sumatera . The results also showed that the variables of economic growth, pollution of water, air and soil are able to explain a model of environmental quality in North Sumatera  province at 96.8 percent.

scholarly journals Impact of Air Pollution (PM2.5) on Child Mortality: Evidence from Sixteen Asian Countries

2021 ◽  
Vol 18 (12) ◽  
pp. 6375
Author(s):  
Asim Anwar ◽  
Inayat Ullah ◽  
Mustafa Younis ◽  
Antoine Flahault
Keyword(s):  
Economic Growth ◽  
Air Pollution ◽  
Child Mortality ◽  
Policy Implications ◽  
Asian Countries ◽  
Environment Friendly ◽  
Number Of Children ◽  
Policy Interventions ◽  
The Relationship ◽  
Least Squares Approach

Air pollution in Asian countries represents one of the biggest health threats given the varied levels of economic and population growth in the recent past. The quantification of air pollution (PM2.5) vis à vis health problems has important policy implications in tackling its health effects. This paper investigates the relationship between air pollution (PM2.5) and child mortality in sixteen Asian countries using panel data from 2000 to 2017. We adopt a two-stage least squares approach that exploits variations in PM2.5 attributable to economic growth in estimating the effect on child mortality. We find that a one-unit annual increase in PM2.5 leads to a nearly 14.5% increase in the number of children dying before the age of five, suggesting the severity of the effects of particulate matter (PM2.5) on health outcomes in sixteen Asian countries considered in this study. The results of this study suggest the need for strict policy interventions by governments in Asian countries to reduce PM2.5 concentration alongside environment-friendly policies for economic growth.

scholarly journals TRADE-OFF ANALYSIS OF ECONOMIC GROWTH AND AIR POLLUTION EFFECTING DECREASE OF POOR ENVIRONMENTAL QUALITY IN SUMATERA UTARA PROVINCE

2019 ◽  
Vol 8 (1) ◽  
pp. 19
Author(s):  
Benni Sinaga ◽  
Zahari Zein
Keyword(s):  
Water Pollution ◽  
Economic Growth ◽  
Air Pollution ◽  
Soil Contamination ◽  
Environmental Quality ◽  
Negative Impact ◽  
Positive Impact ◽  
Series Data ◽  
The Relationship

The development of economic activities will certainly have a positive impact on increasing economic growth and also have a negative impact on pollution each year, will certainly affect the quality of the environment in the province of North Sumatera . This study aims to analyze the relationship and influence of the GDP, water pollution, air pollution and soil contamination on environmental quality in North Sumatera  province both simultaneously and partially. The data used are secondary data from BPS Sumatera  and North Sumatera  Environmental Agency in the form of time series data from 2004 to 2014. Correlation analysis using correlation with SPSS version 20. Results of correlation coefficient analysis in this study explains that economic growth (0.945), water pollution (0.969), air pollution (0.903) have the relationship is very strong, while soil contamination ( 0.803) have a strong closeness with the quality of the environment in the province of North Sumatera . The results also showed that the variables of economic growth, pollution of water, air and soil are able to explain a model of environmental quality in North Sumatera  province at 96.8 percent.

scholarly journals The Relationship between Economic Growth and Air Pollution—A Regional Comparison between China and South Korea

2020 ◽  
Vol 17 (8) ◽  
pp. 2761 ◽  
Author(s):  
Min Jiang ◽  
Euijune Kim ◽  
Youngjin Woo
Keyword(s):  
Economic Growth ◽  
Air Pollution ◽  
South Korea ◽  
Metropolitan Areas ◽  
Simultaneous Equation ◽  
Pollutant Emissions ◽  
Regional Product ◽  
Northwest Region ◽  
The Relationship ◽  
Shaped Pattern

This paper analyzes the interaction between regional economic growth and air pollution in China and Korea. The relationship between gross regional product per capita and industrial emission of sulfur dioxide emission is examined at the regional level using simultaneous equation models covering 286 cities in China and 228 cities and counties in South Korea of the period 2006–2016. The results find that regional differences existed in the relationship between air pollution and economic growth in two countries. In both countries, an inverted U-shaped pattern was found in metropolitan areas while a U-shaped pattern of non-metropolitan areas. Although the emissions of pollutants in metropolitan areas of both countries have shown a downward trend in recent years, there is still a large gap between the overall emission levels of China and South Korea. Moreover, the level of pollutant emissions of China’s metropolitan areas is much higher than in non-metropolitan areas, while the opposite result has occurred in Korea. In China, there was an inverted U-shaped relationship of the eastern and northwest region, while U-shaped relationships existed in the southwest, central and northeast regions.

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