scholarly journals The Nonlinear Links Between Urbanization And CO2: Evidence From Unconditional Quantile And Threshold Regression

2021 ◽  
Author(s):  
Mustafa Kocoglu ◽  
Ashar Awan ◽  
Ahmet Tunc ◽  
Alper Aslan
Keyword(s):  
Carbon Dioxide ◽  
Quantile Regression ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Regression Method ◽  
Marginal Effect ◽  
Threshold Regression ◽  
Impact Of Urbanization ◽  
Quantile Regression Method ◽  
The Relationship

Abstract The extant literature has provided empirical evidences about the relationship between urbanization and environment, however, a little attention has been paid to non-linear relationship among them. This study aims to measure the effects of urbanization on carbon dioxide emission using quantile and threshold regression method. To this end, the study employed threshold analysis and quantile regression method and analyzed the variation of such non-linearity for different levels of carbon dioxide using quantile regression. The results illustrate that a single threshold and two regimes exist and the threshold for urbanization is 29.56%. Across both regimes, the elasticity estimates form an inverted U-shape impact of urbanization on the carbon dioxide emission. The increase in the marginal effect of urbanization on carbon dioxide emissions up to the median level and a declining trend after this level implies that environmental quality significantly improves for emerging country.

scholarly journals Is Carbon Dioxide (CO2) Emission an Important Factor Affecting Healthcare Expenditure? Evidence from China, 2005–2016

2019 ◽  
Vol 16 (20) ◽  
pp. 3995 ◽  
Author(s):  
Chen ◽  
Zhuo ◽  
Xu ◽  
Xu ◽  
Gao
Keyword(s):  
Carbon Dioxide ◽  
Air Pollution ◽  
Quantile Regression ◽  
Co2 Emission ◽  
Healthcare Expenditure ◽  
Carbon Dioxide Emission ◽  
Ordinary Least Squares ◽  
Bayesian Quantile Regression ◽  
Carbon Dioxide Co2 ◽  
The Relationship

As a result of China’s economic growth, air pollution, including carbon dioxide (CO2) emission, has caused serious health problems and accompanying heavy economic burdens on healthcare. Therefore, the effect of carbon dioxide emission on healthcare expenditure (HCE) has attracted the interest of many researchers, most of which have adopted traditional empirical methods, such as ordinary least squares (OLS) or quantile regression (QR), to analyze the issue. This paper, however, attempts to introduce Bayesian quantile regression (BQR) to discuss the relationship between carbon dioxide emission and HCE, based on the longitudinal data of 30 provinces in China (2005–2016). It was found that carbon dioxide emission is, indeed, an important factor affecting healthcare expenditure in China, although its influence is not as great as the income variable. It was also revealed that the effect of carbon dioxide emission on HCE at a higher quantile was much smaller, which indicates that most people are not paying sufficient attention to the correlation between air pollution and healthcare. This study also proves the applicability of Bayesian quantile regression and its ability to offer more valuable information, as compared to traditional empirical tools, thus expanding and deepening research capabilities on the topic.

scholarly journals The analysis of the relationship between CO2 level and economic growth

2021 ◽  
pp. 17-23
Author(s):  
Szira Zoltán ◽  
Bárdos Kinga Ilona ◽  
Alghamdi Hani ◽  
Enkhjav Tumentsetseg ◽  
Erika Varga
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Global Warming ◽  
Human Activities ◽  
Carbon Dioxide Emissions ◽  
Industrial Revolution ◽  
Carbon Dioxide Emission ◽  
The Impact ◽  
The Relationship

2019 was Earth's second warmest year since 1850. In 2019 the global mean temperature was cooler than in 2016, but warmer than any other year explicitly measured. Consequently, 2016 is still the warmest year in historical observation history. Year-to-year rankings are likely to reflect natural fluctuations in the short term, but the overall pattern remains consistent with a long-term global warming trend. This would be predicted from global warming caused by greenhouse gases, temperature increase across the globe is broadly spread, impacting almost all areas of land and oceans. Climate change" and "global warming" are often used interchangeably but are of distinct significance. Global warming is the long-term heating of the Earth's climate system observed since the pre-industrial period as a result of human activities, mainly the combustion of fossil fuel, which raises the heat-trapping greenhouse gas levels in the Earth's air. The term is often used interchangeably with the term climate change, as the latter applies to warming caused both humanly and naturally, and the impact it has on our planet. This is most generally calculated as the average increase in global surface temperature on Earth. Carbon dioxide emission is one of the main reasons for global warming. Since the Industrial Revolution, human sources of carbon dioxide emissions have been growing. Human activities such as the burning of oil, coal and gas, as well as deforestation are the primary cause of the increased carbon dioxide concentrations in the atmosphere. In our research, let’s examine the relationship between the amount of carbon dioxide emissions and the GDP/capita in developed and developing countries.

scholarly journals The relationship of economic growth and carbon-dioxide emissions: an application on member countries of Organization of Islamic Cooperation

2021 ◽  
Vol 20 (4) ◽  
pp. 813-833
Author(s):  
Muhammed Veysel Kaya ◽  
Suat Serhat Yilmaz ◽  
Mehmet Gökhan Özdemir
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Natural Resources ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Environmental Damage ◽  
Homogeneity Test ◽  
Annual Data ◽  
Causality Analysis ◽  
The Relationship

Motivation: Humanity has benefited from natural resources in production activities throughout history and this pressure on natural resources has increased even more with the efforts of industrialization. In this process, people benefited heavily from fossil fuels in their production and distribution activities, thereby damaging the environment and the atmosphere to a large extent. With the destruction of the environment, it has become important for the countries and the academic circles to measure environmental damage with the increase of economic activities in order to take various measures. Aim: At this point, in this study, the relationship between economic growth and carbon-dioxide emissions was examined within the scope of 50 countries that are members of the Organization of Islamic Cooperation (OIC). In this process, annual data of the countries concerned between 1995 and 2017 were used; Pedroni Cointegration Analysis, Granger Causality Analysis, Pooled Mean Group Estimator (PMGE) and Mean Group Estimator (MGE) methods were used to measure and estimate the relationship between these two variables. The causality analysis shows that the economic growth is the Granger cause of carbon-dioxide emissions in the country group studied. In addition, the coefficients obtained in PMGE and MGE analyzes were found as 0.43 and 0.33 and were statistically significant and positive. Then, with the help of Hausman Homogeneity Test, it was decided between the two estimators, and it concluded that PMGE Estimator is the more reliable estimator. Results: The results obtained with the PMGE estimator indicate that the 1% increase in economic growth increased carbon dioxide emission by 0.43%.

Urbanization and carbon dioxide (CO2) emission nexus in the CEMAC countries

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chi Aloysius Ngong ◽  
Dimna Bih ◽  
Chinyere Onyejiaku ◽  
Josaphat Uchechukwu Joe Onwumere
Keyword(s):  
Carbon Dioxide ◽  
Rural Areas ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Ordinary Least Squares ◽  
Environmental Conservation ◽  
Tree Planting ◽  
Content Type ◽  
Causality Tests ◽  
The Relationship

PurposeThis study investigates the relationship between urbanization and carbon dioxide emission in the Central African Economic and Monetary Community from 1990 to 2019. The literature reveals that the relationship between urbanization and carbon dioxide emissions is still debatable and the existing findings are inconclusive.Design/methodology/approachCarbon dioxide is the regressand; while, urbanization, gross domestic product (GDP) and financial development (FD), rule of law (ROL) and government effectiveness (GEF) are the regressors. Johansen Fisher and Kao residual co-integration tests alongside the fully modified and dynamic ordinary least squares.FindingsThe results show a significant positive relationship between urbanization and carbon dioxide emissions. The causality tests results show that carbon dioxide granger causes urbanization, GDP and FD unit directionally.Research limitations/implicationsThe countries' governments should effectively improve their legal systems to regulate carbon dioxide emissions. Urbanization laws should be implemented to limit urbanization environmental deteriorating effects on carbon dioxide emissions. This occurs as the countries practiced unregulated urbanization which increases population's environmental impacts. The study recommends sustainable green urbanization policies for environmental conservation through tree planting and horticulture. Balance development in urban and rural areas is vital to decongest the urban cities' pressure in the states. The governments should motivate the private sector with rural investments captivating policies to limit rural urban migration.Originality/valueThe findings contribute value by supporting a positive link between urbanization and carbon dioxide emissions in the CEMAC zone. The causality tests findings confirm the view that carbon dioxide granger causes urbanization, GDP and FD unit directionally. This value addition is essential to the governments and policy makers to mitigate urbanization and carbon dioxide emissions in the CEMAC region.

A quantile regression analysis on corporate governance and the cost of bank loans: a research note

2015 ◽  
Vol 14 (1) ◽  
pp. 2-19 ◽  
Author(s):  
Wuchun Chi ◽  
Huichi Huang ◽  
Hong Xie
Keyword(s):  
Interest Rate ◽  
Quantile Regression ◽  
Ordinary Least Squares ◽  
Regression Method ◽  
Bank Loan ◽  
Content Type ◽  
Loan Rate ◽  
Prior Literature ◽  
Quantile Regression Method ◽  
The Relationship

Purpose – This paper aims to investigate whether there is heterogeneity in the relationship between the bank loan interest rate and its determinants using the quantile regression method and to reconcile some conflicting findings in prior literature. Design/methodology/approach – First, the effects of 18 determinants were examined on the bank loan interest rate using the ordinary least squares method (OLS). Second, it was investigated whether the relationship between the loan rate and its determinants is heterogeneous across quantiles of loan rates using the quantile regression method. Findings – Considerable heterogeneity was found in the relationship between the loan rate and its determinants. Specifically, a determinant that is beneficial for the bank loan rate, on average, as revealed by the OLS method may become unimportant or even detrimental for firms located at extremely high or low loan rate quantiles. By revealing extreme heterogeneity in the relationship between the loan rate and some of its determinants, the authors potentially explain two conflicting findings in prior literature. Originality/value – The conventional OLS method masks the heterogeneity in the relationship between the bank loan interest rate and its determinants. Quantile regression can be used to supplement the OLS estimates to gain a more detailed and complete picture of the relationship between the dependent variable and explanatory variables.

Causality between Energy Conservation and Economic Growth in China

2013 ◽  
Vol 291-294 ◽  
pp. 1251-1254
Author(s):  
Yun Bing Hou ◽  
Jian Min Wang ◽  
Sen Sen Shi ◽  
Xiao Zhang ◽  
Chun Lin Liu ◽  
...  
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Conservation ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Emissions Reduction ◽  
Causality Analysis ◽  
Long Run ◽  
Equilibrium Relationship ◽  
The Relationship

The relationship between carbon dioxide emissions and economic growth is analyzed and the results show that there exists a long-run equilibrium relationship between carbon dioxide emissions and economic growth to clear some people’s mind of doubts that energy conservation and carbon dioxide emissions reduction policy will hamper the economic development. When GDP increases, the carbon dioxide emission will increase too. Causality analysis shows that the unidirectional causal relationship exists and the direction is from GDP to carbon dioxide emission. The result implies that when a certain technique of carbon dioxide emissions reduction is used, it can not only reduce the carbon dioxide amount but promote the growth of GDP. Energy conservation and carbon dioxide reduction can form a new economic growth industry. To fulfill the promise of carbon dioxide emissions reduction to the world, China should make policies based on the relationship between carbon emissions and economic growth.

scholarly journals The Problem of Carbon Dioxide Emissions from Closed Coal Mine Shafts – The Overview and the Case Study

2016 ◽  
Vol 61 (3) ◽  
pp. 587-600
Author(s):  
Paweł Wrona ◽  
Józef Sułkowski ◽  
Zenon Różański ◽  
Grzegorz Pach
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Mining Area ◽  
Emission Point ◽  
Water Pumping ◽  
Gas Hazard ◽  
Flow Through ◽  
Reporting Procedures

Abstract Greenhouse gas emissions are a common problem noticed in every mining area just after mine closures. However, there could be a significant local gas hazard for people with continuous (but variable) emission of these gases into the atmosphere. In the Upper Silesia area, there are 24 shafts left for water pumping purposes and gases can flow through them hydraulically. One of them – Gliwice II shaft – was selected for inspection. Carbon dioxide emission with no methane was detected here. Changes in emission and concentration of carbon dioxide around the shaft was the aim of research carried out. It was stated that a selected shaft can create two kinds of gas problems. The first relates to CO2 emission into the atmosphere. Possible emission of that gas during one minute was estimated at 5,11 kg CO2/min. The second problem refers to the local hazard at the surface. The emission was detected within a radius of 8m from the emission point at the level 1m above the ground. These kinds of matters should be subject to regular gas monitoring and reporting procedures.

Driving Factors Analysis of Carbon Dioxide Emissions in China Based on STIRPAT Model

2013 ◽  
Vol 734-737 ◽  
pp. 1910-1914 ◽  
Author(s):  
Qiao Zhi Zhao ◽  
Qing You Yan
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
High Speed ◽  
Carbon Dioxide Emission ◽  
Urbanization Process ◽  
Stirpat Model ◽  
Factors Analysis ◽  
Secondary Industry

China is developing at relatively high speed, not only the regional development speed should be focused upon, but also the environmental impact of economic growth should be paid attention to, especially the level change of carbon dioxide emission. To some degree, quantity of carbon dioxide emission has become one of the most important indexes for measuring quality of a nations economic growth. Thus, this thesis is trying to analyze the driving relations between economic growth and carbon dioxide. Upon STIRPAT model, ridge regression method and elasticity theory are applied to analyze the influencing factors of carbon dioxide quantity such as the population quantity, Chinas urbanization process, per capita GDP, energy density and the percentage of the secondary industry. Correspondingly, based on the different influencing variables to carbon dioxide emission quantity, needy measures are brought out to control and decrease emissions. Feasible suggestions are trying to improve Chinas economic development quality.

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