scholarly journals Environmental Kuznets Curve: Empirical Relationship between Energy Consumption and Economic Growth in Upper-Middle-Income Regions of China

2020 ◽  
Vol 17 (19) ◽  
pp. 6971 ◽  
Author(s):  
Shixiang Li ◽  
Jianru Shi ◽  
Qiaosheng Wu
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Population Density ◽  
Crude Oil ◽  
Total Energy ◽  
Environmental Kuznets Curve ◽  
Inflection Point ◽  
Kuznets Curve ◽  
Total Energy Consumption ◽  
Middle Income

This paper examines the environmental Kuznets curve (EKC) relationship between energy consumption and economic growth in upper-middle-income regions of China with the panel data of 21 provinces from 2000 to 2017. The influence mechanism of socio-economic factors on the EKC of these regions is also detected. The results show that the energy consumption EKC fitting map in these regions conforms to the classical environmental Kuznets curve, which is an inverted “N” type, and the inflection point is ahead and more accurate after adding spatial effects. The direct effect of energy consumption has delayed the inflection point, indicating that the level of industrialization, urbanization, and population density have a significant impact on EKC. At the same time, it is found that the level of industrialization and population density have a positive relationship with energy consumption, while the level of urbanization has a negative correlation with energy consumption. The spatial spillover effect of the indirect effects of total energy consumption, coal consumption, and crude oil consumption shows that the level of industrialization has a significant and negative link with EKC. The increase in the level of industrialization will affect the total energy consumption of neighboring areas and the consumption of coal and crude oil.

scholarly journals Testing the Environmental Kuznets Curve Hypothesis for Turkey: The Role of Clean Energy Consumption and Ecological Footprint

2020 ◽  
Author(s):  
Suleyman Yurtkuran
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Capita Income ◽  
Environmental Kuznets Curve ◽  
Ecological Footprint ◽  
Clean Energy ◽  
Kuznets Curve ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

Abstract This study aims to investigate the dynamic relationship between income, clean energy consumption, exports, imports, urbanization and ecological footprint for Turkey from 1973 to 2015 using the environmental Kuznets curve hypothesis. The long-term coefficients derived from the ARDL approach demonstrate that import increase the ecological footprint, whereas urbanization and clean energy consumption do not have an impact on environmental pollution in the long-term. In addition, the 2001 dummy variable is negative and statistically significant. The crisis in 2001 slowed down the economic growth rate. This situation also caused reduction of environmental pollution. Moreover, the long run estimates indicate that the EKC hypothesis is valid in Turkey. However, the turning point of per capita income was calculated as $16,045 that outside of the analyzed period. As economic activities increase, human pressure on nature continues to increase. Consequently, the only factor that reduces the ecological footprint has been determined as exports. In contrast, economic growth and clean energy consumption cannot be used as a tool to reduce the ecological footprint. Turkey needs a higher level of per capita income than the threshold level to improve environmental quality.

The Relationship between Economics Growth and Energy Consumption in China-A Empirical Analysis Based on Energy Kuznets Curve

2014 ◽  
Vol 1073-1076 ◽  
pp. 2457-2461
Author(s):  
Chang Sheng Li ◽  
Qing Ling Li ◽  
Zhong Min Lei ◽  
Han Yang ◽  
Hui Qing Qu
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Empirical Analysis ◽  
Energy Demand ◽  
Kuznets Curve ◽  
Total Energy Consumption ◽  
Energy Demands ◽  
High Level ◽  
The Relationship ◽  
Relative High Level

These paper investigated the relationship between economics development and energy demands based on Energy Kuznets Curve (EFC) in China. The results show that, the prospects of economics and energy demand in China in further will undergo three important stages to 2050.The peak of energy demand maybe around 2035 and the corresponding total energy demand maybe amount 5.7 billion tce. In 2035, the GDP per capital maybe about 17000 (2005 US$) and the urbanization will reach a relative high level. It is urgent for China to take actions to curb the increasing total energy consumption.

An Empirical Analysis of Time Window for Energy Consumption Inflection Point in China

2013 ◽  
Vol 291-294 ◽  
pp. 1195-1201
Author(s):  
Guang Yue Xu
Keyword(s):  
Energy Consumption ◽  
Unit Root ◽  
Environmental Kuznets Curve ◽  
Inflection Point ◽  
Energy Intensity ◽  
Time Window ◽  
Kuznets Curve ◽  
Western Region ◽  
Central Regions ◽  
Per Capita

Based on the environmental Kuznets curve theory, using of panel data of 27 provinces in China during 1990 -2008 and the panel unit root and cointegration methods, the time window for per capita energy consumption inflection point is empirically researched. The results are as follows: China and its eastern and central regions have the environmental Kuznets curve for per capita energy consumption, but it does not exist in the western region. On this basis, the paper studies the scenario analysis for achieving the inflection point of per capita energy consumption for provinces in the eastern and central regions and depicts their specific time path, and finds that China and its provinces in eastern and central regions can have the win-win and decoupling development between economic growth and energy consumption by reducing the energy intensity.

A comparative analysis of environmental quality and Kuznets curve between two newly industrialized economies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kanon Kumar Sen ◽  
Md. Thasinul Abedin
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Environmental Quality ◽  
Environmental Kuznets Curve ◽  
Carbon Dioxide Emission ◽  
Kuznets Curve ◽  
Per Capita Gdp ◽  
Content Type ◽  
China And India ◽  
Per Capita

PurposeDue to large amounts of coal burning, huge carbon dioxide emission and poor environmental quality, it is important to identify whether environmental Kuznets curve exists in China and India since in downward period of environmental Kuznets curve, economic growth in these countries will largely contribute to world environmental quality. Further, it helps to make a comparative analysis between China and India on how economic growth will contribute to the environmental quality in both upward and downward period of environmental Kuznets curve due to energy consumption.Design/methodology/approachThis study uses the data of carbon dioxide emission, per capita GDP and energy consumption from 1972 to 2017 to identify individual and panel-level environmental Kuznets curve of China and India. Before going to regression and causality analysis, unit root and cointegration tests are performed.FindingsThis study finds the existence of environmental Kuznets curve in China and India at both individual and panel level. Further, due to high energy consumption, environmental quality in China will deteriorate at a lower rate in the long run than that of India. Next, the increase in economic growth or per capita GDP in the long run will deteriorate environmental quality at a lower rate in China than that of India. Besides, with the zero level of energy consumption and per capita GDP, the environmental quality of China will be worse than that of India. However, increase in per capita GDP after threshold level will improve environmental quality in India at a higher rate than that of China.Research limitations/implicationsIt helps to formalize the comparative relationship between the two large Asian economies by knowing the influence of economic growth on environmental degradation due to energy consumption. However, this study cannot conclude exactly when China and India can avail the downturn in environmental Kuznets curve.Originality/valueIt firstly establishes a link among energy consumption, economic growth and environmental quality between China and India including comparative pace in both upward and downward period of environmental Kuznets curve.

scholarly journals The wealth of nations and sustainable development: energy intensity and the environmental Kuznets curve

2020 ◽  
Vol 11 (1) ◽  
pp. 110-123 ◽  
Author(s):  
Ola Honningdal Grytten ◽  
Magnus Lindmark ◽  
Kjell Bjørn Minde
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Energy Intensity ◽  
Polynomial Regression ◽  
Continuous Series ◽  
Kuznets Curve ◽  
Wealth Of Nations ◽  
The Relationship

Scholars warn that wealth leads to unsustainable environmental development. However, over the last decades, studies have shown an increase in environmental degradation at the initial stage of economic growth, and then a decline when economic growth reaches a certain level. This first acceleration and then deceleration create an inverted U-shaped curve between pollution and economic growth, called the environmental Kuznets curve (EKC). Environmental degradation can be measured by different factors. This paper deals with two of them, i.e. energy consumption and energy intensity (EI). The latter is measured as the ratio between energy consumption and GDP. The relationship of energy consumption and intensity to economic growth can serve as a tool for examining whether an EKC exists. The paper presents continuous series of energy consumption energy intensity and gross domestic product for the Norwegian mainland economy 1835–2019. The series are used to examine the possible existence of relative and absolute environmental Kuznets curves (EKC). Time series are established using available data and annual figures for 1835–2019, which are presented for the first time. They depict a development that, first, reflects an almost constant downward trend in EI, and, second, the existence of EKCs. The paper also proposes a polynomial regression model to discuss the relationship between environmental degradation as measured by energy consumption and intensity on the one hand, and economic growth on the other. It is concluded that there are both relative and absolute EKC-relations between environmental degradation and economic growth, with 1975 as relative and 2002 as absolute turning point.

scholarly journals Projecting Global and Regional Forest Area under the Shared Socioeconomic Pathways Using an Updated Environmental Kuznets Curve Model

Forests ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 387 ◽  
Author(s):  
Nepal ◽  
Korhonen ◽  
Prestemon ◽  
Cubbage
Keyword(s):  
Economic Growth ◽  
Population Density ◽  
Labor Force ◽  
Rural Population ◽  
Environmental Kuznets Curve ◽  
Forest Area ◽  
Kuznets Curve ◽  
Intergovernmental Panel ◽  
Total Forest Area ◽  
Regional Forest

Forest resources are critical to environmental, economic, and social development, and there is substantial interest in understanding how global forest area will evolve in the future. Using an Environmental Kuznets Curve (EKC) model of total forest area that we updated using more recent data sets, we projected forest area through 2100 in 168 countries using variables including income, rural population density, and the size of the labor force under different world visions drawn from alternative Intergovernmental Panel on Climate Change socioeconomic pathways (SSPs). Results provided support for the existence of an EKC for total forest area, with rural population density negatively affecting forest area and labor force size positively affecting forest area. The projections showed modest and continuous increases in global forest area in all the SSPs, but varying trends for major world regions, which is consistent with the projected trends from the explanatory variables in each country. Aggregate global forest area is projected to increase by 7% as of 2100 relative to 2015 levels in SSP3, which predicts a future with the lowest rate of economic growth, and by 36% in SSP5, which is a future with the highest rate of economic growth and greater economic equality across countries. The results show how projections driven only by income produce biased results compared to the projections made with an EKC that includes rural population density and labor force variables.

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