scholarly journals An analysis of foreign aid and environmental degradation in Pakistan using the ARDL bounds testing technique (1972-2013)

2016 ◽  
Vol 7 (1) ◽  
pp. 16-23 ◽  
Author(s):  
Abida Yousaf ◽  
Himayatullah Khan ◽  
Naila Erum ◽  
Saira Rasul
Keyword(s):  
Energy Consumption ◽  
Foreign Aid ◽  
Carbon Emissions ◽  
Annual Data ◽  
Bounds Testing ◽  
Testing Technique ◽  
Per Capita Gdp ◽  
Ardl Bounds Testing ◽  
Foreign Loans ◽  
Per Capita

The paper examines the relationship among foreign aid, per capita GDP, energy consumption, foreign direct investment and carbon emissions in Pakistan. Autoregressive distributed lag (ARDL) bounds testing technique is used for empirically testing using annual data from 1972 to 2013. The study uses carbon dioxide emission (CO2) as an indicator of environment quality. The two components of foreign aid (foreign loans and foreign grants) are used to measure the environmental impact of foreign assistance in Pakistan. The study finds that energy consumption, per capita GDP and FDI contribute positively to raise the carbon emissions in the country. Furthermore, foreign loans and grants are also found significant contributors to the degradation of environmental quality in case of Pakistan. Similarly, the short run results of the model indicate that the signs of the coefficients are consistent with the long run estimates. On the basis of its findings, the study suggests that effective policies be followed for reducing (CO2) emissions along with regulating FDI-environment and per capita GDP-environment relationship

scholarly journals Dynamic linkages between renewable energy, carbon emissions and economic growth through nonlinear ARDL approach: Evidence from Iran

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253464
Author(s):  
M. S. Karimi ◽  
S. Ahmad ◽  
H. Karamelikli ◽  
D. T. Dinç ◽  
Y. A. Khan ◽  
...  
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Gdp Per Capita ◽  
Bounds Testing ◽  
Renewable Energy Consumption ◽  
Economic Implications ◽  
Long Run ◽  
Per Capita

This study examines the relationship between economic growth, renewable energy consumption, and carbon emissions in Iran between 1975–2017, and the bounds testing approach to cointegration and the asymmetric method was used in this study. The results reveal that in the long run increase in renewable energy consumption and CO2 emissions causes an increase in real GDP per capita. Meanwhile, the decrease in renewable energy has the same effect, but GDP per capita reacts more strongly to the rise in renewable energy than the decline. Besides, in the long run, a reduction of CO2 emissions has an insignificant impact on GDP per capita. Furthermore, the results from asymmetric tests suggest that reducing CO2 emissions and renewable energy consumption do not have an essential role in decreasing growth in the short run. In contrast, an increase in renewable energy consumption and CO2 emissions do contribute to boosting the growth. These results may be attributable to the less renewable energy in the energy portfolio of Iran. Additionally, the coefficients on capital and labor are statistically significant, and we discuss the economic implications of the results and propose specific policy recommendations.

scholarly journals Study on Influencing Factors of Carbon Emissions from Energy Consumption of Shandong Province of China from 1995 to 2012

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Jiekun Song ◽  
Qing Song ◽  
Dong Zhang ◽  
Youyou Lu ◽  
Long Luan
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Shandong Province ◽  
Stirpat Model ◽  
Per Capita Gdp ◽  
Consumption Structure ◽  
Per Capita ◽  
The Impact ◽  
Consumption Intensity

Carbon emissions from energy consumption of Shandong province from 1995 to 2012 are calculated. Three zero-residual decomposition models (LMDI, MRCI and Shapley value models) are introduced for decomposing carbon emissions. Based on the results, Kendall coordination coefficient method is employed for testing their compatibility, and an optimal weighted combination decomposition model is constructed for improving the objectivity of decomposition. STIRPAT model is applied to evaluate the impact of each factor on carbon emissions. The results show that, using 1995 as the base year, the cumulative effects of population, per capita GDP, energy consumption intensity, and energy consumption structure of Shandong province in 2012 are positive, while the cumulative effect of industrial structure is negative. Per capita GDP is the largest driver of the increasing carbon emissions and has a great impact on carbon emissions; energy consumption intensity is a weak driver and has certain impact on carbon emissions; population plays a weak driving role, but it has the most significant impact on carbon emissions; energy consumption structure is a weak driver of the increasing carbon emissions and has a weak impact on carbon emissions; industrial structure has played a weak inhibitory role, and its impact on carbon emissions is great.

scholarly journals Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Bounds Testing ◽  
Mutual Cooperation ◽  
Long Run ◽  
Short Run ◽  
Danube Region ◽  
The Impact

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

Does Temperature Contribute to Environment Degradation? Pakistani Experience Based on Nonlinear Bounds Testing Approach

2020 ◽  
pp. 097215092091665 ◽  
Author(s):  
Muhammad Saeed Meo ◽  
Solomon Prince Nathaniel ◽  
Muhammad Murtaza Khan ◽  
Qasim Ali Nisar ◽  
Tehreem Fatima
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Use ◽  
Global Climate ◽  
Bounds Testing ◽  
Renewable Energy Consumption ◽  
Global Climate Changes ◽  
Long Run ◽  
Short Run

Many developing countries are acutely vulnerable to global climate changes. In Pakistan, carbon emissions are primarily contributed by the factor of energy production from oil, gas and coal. The objective of this study is to estimate the asymmetric impact of temperature, energy use, economic growth, water scarcity on CO2 emissions in Pakistan over their period of 1960–2016. Based on nonlinear bounds testing (NARDL) approach, it is confirmed that there is an asymmetric relationship between temperature and CO2 emission, while energy use, population growth and economic growth have a positive effect in the short run. In the long run, energy consumption and economic growth were found to increase emission, while a temperature decrease by 1 per cent leads to 5 per cent decrease in carbon emissions. Population and water availability also reduces emission in Pakistan. Further, the study also confirms the long-run relationship between the variables. The finding of the study noticeably supports the policy to increase renewable energy consumption.

scholarly journals The carbon emissions of Chinese cities

2012 ◽  
Vol 12 (14) ◽  
pp. 6197-6206 ◽  
Author(s):  
H. Wang ◽  
R. Zhang ◽  
M. Liu ◽  
J. Bi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
National Policy ◽  
Emission Inventories ◽  
Chinese Cities ◽  
Industrial Energy ◽  
Per Capita ◽  
Policy Priority

Abstract. As increasing urbanization has become a national policy priority for economic growth in China, cities have become important players in efforts to reduce carbon emissions. However, their efforts have been hampered by the lack of specific and comparable carbon emission inventories. Comprehensive carbon emission inventories for twelve Chinese cities, which present both a relatively current snapshot and also show how emissions have changed over the past several years, were developed using a bottom-up approach. Carbon emissions in most Chinese cities rose along with economic growth from 2004 to 2008. Yet per capita carbon emissions varied between the highest and lowest emitting cities by a factor of nearly 7. Average contributions of sectors to per capita emissions for all Chinese cities were 65.1% for industrial energy consumption, 10.1% for industrial processes, 10.4% for transportation, 7.7% for household energy consumption, 4.2% for commercial energy consumption and 2.5% for waste processing. However, these shares are characterized by considerable variability due to city-specific factors. The levels of per capita carbon emissions in China's cities were higher than we anticipated before comparing them with the average of ten cities in other parts of the world. This is mainly due to the major contribution of the industry sector in Chinese cities.

scholarly journals Effects of Economic Growth, Trade Openness, and Urbanization on Carbon Dioxide Emissions in Ghana, 1960 to 2014

2020 ◽  
Vol 7 (2) ◽  
pp. 9 ◽  
Author(s):  
Forster Kwame Boateng
Keyword(s):  
Carbon Dioxide ◽  
Low Income ◽  
Carbon Dioxide Emissions ◽  
Trade Openness ◽  
Economic Transformation ◽  
Total Carbon ◽  
Annual Data ◽  
Middle Income ◽  
Per Capita Gdp ◽  
Per Capita

This paper examines the effects of per capita gross domestic product (GDP), trade openness, and urbanization on the total carbon dioxide emissions of Ghana using time-series annual data from 1960 to 2014. The 55-year period, from 1960 to 2014, covered economic transformation of Ghana from a low-income agrarian country to a lower-middle income country. The analysis used the autoregressive distributed lag method of co-integration. The results showed that per capita GDP, trade openness, and urbanization all significantly influenced both long-run and short-run levels of carbon dioxide emissions in Ghana. However, increased trade openness led to reduced total emissions, while rising per capita GDP and increased urbanization both increased total emissions albeit at different intensity levels.

scholarly journals Economic Growth And Carbon Emissions In South Africa: An Empirical Investigation

2011 ◽  
Vol 10 (7) ◽  
pp. 75 ◽  
Author(s):  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Empirical Investigation ◽  
Output Growth ◽  
Bounds Testing ◽  
Conservation Policies ◽  
Long Run

In this paper we examine the causal relationship between CO2 emissions and economic growth in South Africa - using the newly developed ARDL-Bounds testing approach. We incorporate energy consumption in a bivariate causality setting between CO2 emissions and economic growth, thereby creating a simple trivariate model. Our empirical results show that there is a distinct unidirectional causal flow from economic growth to carbon emissions in South Africa. We also find that energy consumption Granger-causes both carbon emissions and economic growth. We recommend that energy conservation policies, as well as appropriate forms of renewable energy, should be explored in South Africa in order to enable the country to reduce its carbon emission footprint without necessarily sacrificing its output growth. The results apply irrespective of whether the causality is estimated in the short or in the long run.

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