A Machine Learning analysis of the relationship among iron and steel industries, air pollution, and economic growth in China

2020 ◽  
Vol 277 ◽  
pp. 123293 ◽  
Author(s):  
Marco Mele ◽  
Cosimo Magazzino
Keyword(s):  
Machine Learning ◽  
Economic Growth ◽  
Air Pollution ◽  
Iron And Steel ◽  
Steel Industries ◽  
The Relationship ◽  
Learning Analysis

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 Relationship between Renewable Energy and Economic Growth in a Time of Covid-19: A Machine Learning Experiment on the Brazilian Economy

2021 ◽  
Vol 13 (3) ◽  
pp. 1285
Author(s):  
Cosimo Magazzino ◽  
Marco Mele ◽  
Giovanna Morelli
Keyword(s):  
Machine Learning ◽  
Economic Growth ◽  
Renewable Energy ◽  
Growth Process ◽  
Renewable Energies ◽  
Renewable Energy Consumption ◽  
Global Pandemic ◽  
Intensive Use ◽  
The Relationship ◽  
Harmful Effects

This paper examines the relationship between renewable energy consumption and economic growth in Brazil, in the Covid-19 pandemic. Using an Artificial Neural Networks (ANNs) experiment in Machine Learning, we tried to verify if a more intensive use of renewable energy could generate a positive GDP acceleration in Brazil. This acceleration could offset the harmful effects of the Covid-19 global pandemic. Empirical findings show that an ever-greater use of renewable energies may sustain the economic growth process. In fact, through a model of ANNs, we highlighted how an increasing consumption of renewable energies triggers an acceleration of the GDP compared to other energy variables considered in the model.

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 Study of the Relationship between Urban Expansion and PM10 Concentration Using Multi-Temporal Spatial Datasets and the Machine Learning Technique: Case Study for Daegu, South Korea

2019 ◽  
Vol 9 (6) ◽  
pp. 1098 ◽  
Author(s):  
Yun-Jae Choung ◽  
Jin-Man Kim
Keyword(s):  
Machine Learning ◽  
Air Pollution ◽  
South Korea ◽  
Urban Areas ◽  
Urban Expansion ◽  
Landsat Images ◽  
Machine Learning Technique ◽  
Learning Technique ◽  
Multi Temporal ◽  
The Relationship

To protect the population from respiratory diseases and to prevent the damages due to air pollution, the main cause of air pollution should be identified. This research assessed the relationship between the airborne particulate concentrations (PM10) and the urban expansion in Daegu City in South Korea from 2007 to 2017 using multi-temporal spatial datasets (Landsat images, measured PM10 data) and the machine learning technique in the following steps. First, the expanded urban areas were detected from the multiple Landsat images using support vector machine (SVM), a widely used machine learning technique. Next, the annual PM10 concentrations were calculated using the long-term measured PM10 data. Finally, the degrees of increase of the expanded urban areas and of the PM10 concentrations in Daegu from 2007 to 2017 were calculated by counting the pixels representing the expanded urban areas and computing variation of the annual PM10 concentrations, respectively. The experiment results showed that there is a minimal or even no relationship at all between the urban expansion and the PM10 concentrations because the urban areas expanded by 55.27 km2 but the annual PM10 concentrations decreased by 17.37 μg/m³ in Daegu from 2007 to 2017.

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.

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