Per capita income, trade openness, urbanization, energy consumption, and CO2 emissions: an empirical study on the SAARC Region

2019 ◽  
Vol 26 (29) ◽  
pp. 29978-29990 ◽  
Author(s):  
Muhammad Asim Afridi ◽  
Sampath Kehelwalatenna ◽  
Imran Naseem ◽  
Muhammad Tahir
Author(s):  
​Cuma Bozkurt ◽  
İlyas Okumuş

The purposes of this study is to investigate the relationship between per capita CO2 emissions, per capita energy consumption, per capita real GDP, the squares of per capita real GDP, trade openness and Kyoto dummies in selected 20 EU countries over the periods from 1991 to 2013 in order to analyze the connection between environmental pollution and Kyoto Protocol using Environmental Kuznets Curve (EKC) framework. According to EKC hypothesis, there is an inverted-U shape relation between environmental pollution and economic growth. Generally, the relationship between environmental pollution, per capita GDP and energy consumption has been analyzed for testing EKC hypothesis. In this study, it is used dummy variable to analyze the effects of Kyoto protocol on environmental degradation in the context of EKC hypothesis model. The dummy variable indicates Kyoto Protocol agreement year 2005. The results show that there is long run cointegration relationship between CO2, energy consumption, GDP growth, and the squares of GDP growth, trade openness and Kyoto dummy variable. Energy consumption and GDP growth increase the level of CO2 emissions. On the contrary, Kyoto dummy variable de­creases CO2 emissions in EU countries. In addition, the results reveal that the squares of per capita real GDP and trade openness rate are statistically insignificant. As a result of analysis, the inverted-U shape EKC hypothesis is invalid in these EU countries over the periods from 1991 to 2013.


2013 ◽  
Vol 2 (2) ◽  
pp. 251-275 ◽  
Author(s):  
Waqas Ahmed ◽  
Khalid Zaman ◽  
Sadaf Taj ◽  
Rabiah Rustam ◽  
Muhammad Waseem ◽  
...  

PurposeThis study aims to examine the relationship between electricity consumption per capita (ELEC) and real per capita income (Y), as the direction of causation of this relationship remains controversial in the existing literature. It also seeks to explore the relationship between energy consumption per capita (ENC) and real per capita income, over a 34‐year period (between 1975 and 2009).Design/methodology/approachThe study uses Johansen cointegration technique to determine the short‐ and long‐run relationship between the variables. The authors also utilize Granger causality test to determine the causal relationship between the selected variables.FindingsThe study provides evidence of bi‐directional causality between the electricity consumption per capita and real per capita income on one hand; and energy consumption per capita and real per capita income on the other hand as the direction of causality has significant policy implications.Research limitations/implicationsThis study does not include all dimensions of the energy growth, but is limited to the three variables which the authors consider to be critical to economic development, including energy consumption, electricity consumption and economic growth.Originality/valueThe study uses a sophisticated econometric technique with additional tests of forecasting framework to examine the effect of energy demand on economic growth over a period of the next ten years, i.e. 2010‐2019, in the context of Pakistan. The impulse response describes the reaction of the system as a function of independent variable that parameterizes the dynamic behavior of the system.


2019 ◽  
Vol 5 ◽  
pp. 12 ◽  
Author(s):  
Nisreen Moosa ◽  

Environmental degradation (measured, for example) by CO2 emissions has an adverse effect on public health, leading to the need for a higher level of healthcare expenditure. The level of per capita income, which has been identified as a major determinant of healthcare expenditure, is associated with environmental degradation as represented by the environmental Kuznets curve. The results presented in this study show that when a country, like Australia, falls on the declining sector of the Environmental Kuznets Curve (EKC), healthcare expenditure is negatively related to environmental degradation. Although this proposition sounds counterintuitive, it is justified theoretically and supported empirically.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Van Cam Thi Nguyen ◽  
Hoi Quoc Le

PurposeThis study intended to analyze the impact of nonrenewable energy consumption, renewable energy consumption, CO2 emissions on per capita income growth in Vietnam in the period 1990–2019.Design/methodology/approachThe present study adopts the technique of the Autoregressive Distributed Lag (ARDL) cointegration for the annual data collection of Vietnam.FindingsThe results of the study show that in the long term, nonrenewable energy consumption increases per capita income, but CO2 emissions reduce per capita income. In the short run, changes in nonrenewable energy consumption and renewable energy consumption promote per capita income growth in Vietnam. However, changes in nonrenewable energy consumption in the past have had a negative impact on the current income growth of Vietnamese people.Originality/valueThe current study provides new insights into the growth effect of nonrenewable energy consumption, renewable energy consumption and CO2 emissions. The papers suggests important implications to Vietnam in setting the long-run policies to boost the effect of energy consumption and CO2 emissions on growth in Vietnam in the coming time.


2021 ◽  
Vol 2021 (68) ◽  
pp. 42-58
Author(s):  
Essa Alhannom ◽  
Ghaleb Mushabab

Abstract This study investigates the validity of the Environmental Kuznets Curve hypothesis in Yemen and the causal relationships between Carbon dioxide emissions, per capita income, energy consumption, trade openness, and industrial share to GDP. ARDL bounds testing approach to cointegration, Error Correction Model, and Toda-Yamamoto procedure to Granger causality techniques were employed on annual data covering the period from 1990 to 2010. long run relationship between CO2 emissions and its determinants with significant effects for per capita GDP and trade openness, whereas, energy consumption and trade openness appear to be important determinants of CO2 emissions in the short run. Besides, based on Narayan and Narayan (2010) approach, it is found that the EKC hypothesis does not hold in Yemen and therefore the effect of per capita income on CO2 emissions is monotonically increasing. Toda-Yamamoto causality test proved the existence of bidirectional causal relationships between economic growth and CO2 emissions, between energy consumption and economic growth, and between trade openness and energy consumption


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