scholarly journals Effect of demographic factors and economic development on carbon intensity in nigeria: an insight into the environmental Kuznets curve hypothesis

2021 ◽  
Vol 1 (2) ◽  
pp. 16-33
Author(s):  
Supper Roland Okijie ◽  
◽  
Ubong Edem Effiong

This paper sought to examine the effect of urbanisation, population growth and economic development on carbon intensityin Nigeria from 1961 to 2014. The study utilised secondary data from the World Bank Development Indicators. The data were analysed using ordinary least squares regression, vector autoregressive model, and threshold regression. Findings from the study revealed that economic development had an inverse and significant effect on carbon intensity in line with the prediction of the Environmental Kuznets Curve. Meanwhile, population growth and urbanisation exerted a positive and significant effect on carbon intensity in Nigeria. The VAR regression result indicated that urbanisation, carbon intensity, and economic development were strongly endogenous in predicting themselves. The threshold regression revealed that the optimal urbanisation level that will not propelcarbon intensity in Nigeria is 14.444%. As such, rural development policies should be encouraged to curb massive rural-urban migration, which can drive up the degree of urbanisation in Nigeria

2019 ◽  
Vol 1 (3) ◽  
pp. 71
Author(s):  
Muhammad Fajri Setia Trianto ◽  
Evi Yulia Purwanti

The economy that continues to grow has the impact of environmental damage. This study aims to prove empirically the Environmental Kuznets Curve (EKC) hypothesis by analyzing the relationship of economic growth with environmental damage as measured by GDP per capita, and CO2 emissions. The data used are secondary data in the form of data on GDP per capita, CO2 emissions, population growth, inflation, and control of corruption in 10 countries in the ASEAN region in 2002-2016. Data analysis using the Fixed Effect model. The results show that there is a relationship between economic growth and environmental damage that forms an inverted U curve. Economic growth will initially have a positive effect on environmental damage so that at a point of economic growth negatively affects environmental damage. By adding control variables: population growth, inflation and corruption, inflation and corruption positively impact environmental damage, while population negatively affect environmental damage.


2018 ◽  
Vol 10 (10) ◽  
pp. 3657 ◽  
Author(s):  
Hongbo Liu ◽  
Hanho Kim ◽  
Shuanglu Liang ◽  
Oh-Sang Kwon

This study examines the Environmental Kuznets Curve (EKC) hypothesis by adopting a country’s ecological footprint as an indicator of environmental degradation in three East Asian countries: Japan, Korea, and China. During the development process, countries intend to balance between stabilizing export demand and maintaining sustainable economic improvement in the context of deteriorating global warming and climate change. The Environmental Kuznets Curve (henceforth, EKC) was originally developed to estimate the correlation between environment condition and economic development. In this paper, we started from the EKC model and adopted an Error Correction Methodology (henceforth, ECM) to estimate the EKC relationships in Japan, Korea (two developed countries), and China (a developing country) over the period of 1990 to 2013. Besides this, instead of only using Gross Domestic Product (henceforth, GDP), two subdivisions of trade diversification—export product diversification and export market diversification—are introduced as proxy variables for economic development in rectification of the EKC. The results demonstrate that both Korea and Japan satisfy the EKC theory by demonstrating an inverted U-shaped relationship between economic development and ecological footprint, while analysis based on data from China does not display the same tendency. For both export product diversification and market diversification, the more diversified the country’s export is, the bigger its ecological footprint. The policy implications of this econometric outcome are also discussed.


Author(s):  
Junran Ma

With the development of economy, environmental problems gradually outstanding in China. This article adopts the method of empirical study, have collected the data of China's industrial added value, per capita GDP and emissions of the three major pollutants from 2004 to 2015. The VAR model was established on the basis of the logarithm values of the three factors mentioned above, so as to conduct impulse- response analysis to discuss the relationship between industrialization level, economic development and environmental pollution. The conclusion is as follows: (1) At present, the increase of China's industrial added value can promote the decline of China's environmental pollution emissions to a certain extent; (2) China is now at the left of the turning point of the Environmental Kuznets Curve, and the increase of per capita GDP will aggravate environmental pollution.


2019 ◽  
Vol 38 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Simplice A Asongu ◽  
Nicholas M Odhiambo

This study investigates how increasing economic development affects the green economy in terms of CO2 emissions, using data from 44 countries in the sub-Saharan Africa for the period 2000–2012. The Generalized Method of Moments is used for the empirical analysis. The following main findings are established. First, relative to CO2 emissions, enhancing economic growth and population growth engenders a U-shaped pattern whereas increasing inclusive human development shows a Kuznets curve. Second, increasing gross domestic product growth beyond 25% of annual growth is unfavorable for a green economy. Third, a population growth rate of above 3.089% (i.e. annual %) has a positive effect of CO2 emissions. Fourth, an inequality-adjusted human development index of above 0.4969 is beneficial for a green economy because it is associated with a reduction in CO2 emissions. The established critical masses have policy relevance because they are situated within the policy ranges of adopted economic development dynamics.


Author(s):  
Jaehyeok Kim ◽  
Hyungwoo Lim ◽  
Ha-Hyun Jo

The purpose of this article is to empirically find the Environmental Kuznets Curve (EKC) relationship between income and carbon dioxide (CO2) emissions and to analyze the influence of population aging on such emissions. We utilize Korean regional panel data of 16 provinces during the period from 1998 to 2016. To account for the nonstationary time series in the panel, we employ a fully modified ordinary least squares (FMOLS) and estimate long-run elasticity. From the empirical results, we can find the nonlinear relationship between income and CO2 emissions. Additionally, we verify the fact that population aging reduces CO2 emissions. A 1% increase in the proportion of the elderly results in a 0.4% decrease in CO2 emissions. On the other hand, the younger population increases CO2 emissions. These results were in line with those of additional analysis on residential and transportation CO2 emissions, for the robustness check.


Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2411 ◽  
Author(s):  
Yu Hao ◽  
Zirui Huang ◽  
Haitao Wu

Global warming has emerged as a serious threat to humans and sustainable development. China is under increasing pressure to curb its carbon emissions as the world’s largest emitter of carbon dioxide. By combining the Tapio decoupling model and the environmental Kuznets curve (EKC) framework, this paper explores the relationship between China’s carbon emissions and economic growth. Based on panel data of 29 provinces from 2007 to 2016, this paper quantitatively estimates the nexus of carbon emissions and economic development for the whole nation and the decoupling status of individual provinces. There is empirical evidence for the conventional EKC hypothesis, showing that the relationship between carbon emissions and per capita gross domestic product (GDP) is an inverted U shape and that the inflection point will not be attained soon. Moreover, following the estimation results of the Tapio decoupling model, there were significant differences between individual provinces in decoupling status. As a result, differentiated and targeted environmental regulations and policies regarding energy consumption and carbon emissions should be reasonably formulated for different provinces and regions based on the corresponding level of economic development and decoupling status.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3302
Author(s):  
Mihaela Simionescu ◽  
Adam Wojciechowski ◽  
Arkadiusz Tomczyk ◽  
Marcin Rabe

Sustainable development can be achieved when economic development does not produce environmental deterioration. In this context, the aim of the paper is to evaluate the effects of economic development on GHG emissions in the Baltic States (Latvia, Letonia, and Lithuania), and in Hungary, the Czech Republic, Slovakia, and Poland (the Visegrád Group or V4 countries) in the period of 1996–2019. The study introduces dynamic ARDL panels in the context of the traditional environmental Kuznets curve (EKC) and renewable Kuznets curve (RKC). The results indicated an inverse-N-shaped and a U-shaped pattern. Energy consumption and labour productivity enhanced pollution, while domestic credit to the private sector, as a share of GDP, and renewable energy consumption supported environmental protection. The implications of these results might help these countries to achieve the targets of the European Green Deal related to the reduction of pollution and the attainment of net zero emissions by 2050. However, national regulations should further promote the use of renewable energy sources.


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