scholarly journals Curva de Kuznets Ambiental y determinantes de las emisiones de C02 en Ecuador: un enfoque de cointegración

2021 ◽  
Vol 2 (5) ◽  
pp. 6453-6474
Author(s):  
Leobaldo Enrique Molero Oliva ◽  
Tanya Shyrna Andino Chancay ◽  
Mayra Iveth Párraga Mogrovejo ◽  
Holger Esteban Álava Martínez ◽  
Holger Fabrizzio Bejarano Copo
Keyword(s):  
Carbon Dioxide ◽  
Economic Activity ◽  
Carbon Dioxide Emissions ◽  
Primary Energy ◽  
Environmental Crisis ◽  
Kuznets Curve ◽  
Environmental Deterioration ◽  
The Face ◽  
Per Capita ◽  
The Impact

La hipótesis de la Curva de Kuznets Ambiental es de gran importancia para comprender la relación entre la actividad económica y la degradación ambiental. Dada la situación actual de cambio climático y crisis ambiental, se ha vuelto importante investigar el impacto de la expansión económica en el medio ambiente.  El presente estudio tiene como objetivo comprobar la hipótesis de una CKA para Ecuador, para lo cual se estima un modelo empírico que permite identificar los principales determinantes de corto y largo plazo de las emisiones de dióxido de carbono per cápita como medida del deterioro ambiental para el período 1965-2019. La metodología propuesta está sustentada en el enfoque de cointegración de Pesaran y Shin (1999) en el marco de un modelo autorregresivo de rezagos distribuidos (ARDL). Los resultados confirman la relevancia del impacto del nivel de desarrollo o ingreso, apertura económica, precio del petróleo y consumo de energía primaria en relación con las emisiones per cápita de dióxido de carbono; asimismo, se verifica la CKA, lo que implica que el deterioro ambiental es una función creciente del nivel de actividad económica hasta un determinado nivel crítico de renta, que se ubicó en 3.688,6 USD a precios constante. Despues de ese nivel, el crecimiento se asocia con niveles progresivamente mayores de calidad ambiental. Sin embargo, las emisiones pueden incrementarse ante variaciones en el precio del petróleo y el consumo de emergería primaria. De este modo, se concluye que un crecimiento más elevado a corto plazo puede acelerar la transición del país hacia niveles de ingreso compatibles con menores emisiones.   The Environmental Kuznets Curve hypothesis is of great importance for understanding the relationship between economic activity and environmental degradation. Given the current situation of climate change and environmental crisis, it has become important to investigate the impact of economic expansion on the environment. The present study aims to test the hypothesis of a CKA for Ecuador, for which an empirical model is estimated that allows identifying the main short and long-term determinants of per capita carbon dioxide emissions as a measure of environmental deterioration for the period 1965-2019. The proposed methodology is based on the cointegration approach of Pesaran and Shin (1999) within the framework of an autoregressive model of distributed lags (ARDL). The results confirm the relevance of the impact of the level of development or income, economic openness, oil price and primary energy consumption in relation to per capita emissions of carbon dioxide; Likewise, the CKA is verified, which implies that environmental deterioration is a growing function of the level of economic activity up to a certain critical income level, which was located at USD 3,688.6 at constant prices. After that level, growth is associated with progressively higher levels of environmental quality. However, emissions may increase in the face of variations in the price of oil and consumption of primary emergencies. In this way, it is concluded that higher growth in the short term can accelerate the country's transition towards income levels compatible with lower emissions.

scholarly journals Drivers of CO2-Emissions in Fossil Fuel Abundant Settings: (Pooled) Mean Group and Nonparametric Panel Analyses

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3956 ◽  
Author(s):  
Elkhan Richard Sadik-Zada ◽  
Wilhelm Loewenstein
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Fixed Effects ◽  
Fossil Fuel ◽  
Substantial Reduction ◽  
Resource Curse ◽  
Time Interval ◽  
Kuznets Curve ◽  
Per Capita

The present inquiry addresses the income-environment relationship in oil-producing countries and scrutinizes the further drivers of atmospheric pollution in the respective settings. The existing literature that tests the environmental Kuznets curve hypothesis within the framework of the black-box approaches provides only a bird’s-eye perspective on the long-run income-environment relationship. The aspiration behind this study is making the first step toward the disentanglement of the sources of carbon dioxide emissions, which could be employed in the pollution mitigation policies of this group of countries. Based on the combination of two strands of literature, the environmental Kuznets curve conjecture and the resource curse, the paper at hand proposes an augmented theoretical framework of this inquiry. To approach the research questions empirically, the study employs advanced panel cointegration techniques. To avoid econometric misspecification, the study also employs for the first time a nonparametric time-varying coefficient panel data estimator with fixed effects (NPFE) for the dataset of 37 oil-producing countries in the time interval spanning between 1989 and 2019. The empirical analysis identifies the level of per capita income, the magnitude of oil rents, the share of fossil fuel-based electricity generation in the energy mix, and the share of the manufacturing sector in GDP as essential drivers of carbon dioxide emissions in the oil-rich countries. Tertiarization, on the contrary, leads to a substantial reduction of emissions. Another striking result of this study is that level of political rights and civil liberties are negatively associated with per capita carbon emissions in this group of countries. Furthermore, the study decisively rejects an inverted U-shaped income-emission relationship and validates the monotonically or exponentially increasing impact of average income on carbon dioxide emissions.

scholarly journals The Development of Electromobility in Poland and EU States as a Tool for Management of CO2 Emissions

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2942 ◽  
Author(s):  
Karol Tucki ◽  
Olga Orynycz ◽  
Antoni Świć ◽  
Mateusz Mitoraj-Wojtanek
Keyword(s):  
Carbon Dioxide ◽  
European Union ◽  
Carbon Dioxide Emissions ◽  
Power Plants ◽  
Primary Energy ◽  
Original Method ◽  
Pollutant Emissions ◽  
The European Union ◽  
Car Market ◽  
The Impact

The article analyzes the dynamics of the development of the electromobility sector in Poland in the context of the European Union and due to the economic situation and development of the electromobility sector in the contexts of Switzerland and Norway. On the basis of obtained data, a forecast was made which foresees the most likely outlook of the electric car market in the coming years. The forecast was made using the creeping trend method, and extended up to 2030. As part of the analysis of the effect of the impact of electromobility, an original method was proposed for calculating the primary energy factor (PEF) primary energy ratio in the European Union and in its individual countries, which illustrates the conversion efficiency of primary energy into electricity and the overall efficiency of the power system. The original method was also verified, referring to the methods proposed by the Fraunhofer-Institut. On the basis of all previous actions and analyses, an assessment was made of the impact of the development of the electromobility sector on air quality in the countries studied. Carbon dioxide tank-to-wheels emission reductions which result from the conversion of the car fleet from conventional vehicles to electric motors were then calculated. In addition to reducing carbon dioxide emissions, other pollutant emissions were also calculated, such as carbon monoxide (CO), nitrogen oxides (NOx) and particulate matter (PM). The increase in the demand for electricity resulting from the needs of electric vehicles was also estimated. On this basis, and also on the basis of previously calculated primary energy coefficients, the emission reduction values have been adjusted for additional emissions resulting from the generation of electricity in power plants.

scholarly journals The Role of Energy in Development

2017 ◽  
Vol 28 (1) ◽  
pp. 54 ◽  
Author(s):  
Philip J. Lloyd
Keyword(s):  
Energy Consumption ◽  
Life Expectancy ◽  
World Bank ◽  
Carbon Dioxide Emissions ◽  
Developing Nations ◽  
Kuznets Curve ◽  
Development Indicators ◽  
Average Value ◽  
Per Capita ◽  
The Impact

AbstractUsing World Bank Development Indicators, it is shown that the use of energy is strongly related to almost every conceivable aspect of development. Wealth, health, nutrition, water, infrastructure, education, even life expectancy itself, are strongly and significantly related to the consumption of energy per capita. In general, the approach taken was to break the consumption of energy into three or more classes, to calculate the average value of the relevant indicator in each class, and to demonstrate that the average value in one class was statistically different, at above the 95% confidence level, from the average in adjacent classes. In the case of life expectancy, the change in expectancy was tracked against energy consumption over 40 or more years, in India, China, Indonesia and Brazil. It is concluded that energy is such a necessary element in development that it should be seen as a basic right. The impact of energy on development is felt strongly up to about 2 000 kg oil equivalent per capita, and is essentially saturated above that level. The data are qualitatively assessed using the environmental Kuznets curve. The OECD nations appear to have peaked, and emissions may continue to drop for the foreseeable future. However, emissions from the non-OECD nations have surged in this millennium, and are likely to exceed 40 000 Mt CO2 per annum before slowing. In this light, the intent of the Paris Agreement to constrain global temperature rise to less than 1.5 °C, seems unrealistic. Any hopes of reducing carbon dioxide emissions significantly, in the face of development by the developing nations, seems doomed to failure. Keywords: development, World Bank Indicators, life expectancy, future emissionsHighlights•    Many development indicators are strongly related to the per-capita energy consumption.•    The impacts of increasing energy on development continues up to about 2000 kg oil equivalent per capita per year.•    Over the past 50 years, increases in per-capita energy consumption correlate strongly with increases in life expectancy. •    If all developing nations strive for 2000 kg per capita per year energy consumption, CO2 emissions will continue to rise.

The Impact of Trade Openness on Environmental Pollution

2015 ◽  
pp. 221-232 ◽  
Author(s):  
Murat Cetin ◽  
Fahri Seker ◽  
Hakan Cavlak
Keyword(s):  
Carbon Dioxide ◽  
Environmental Pollution ◽  
Carbon Dioxide Emissions ◽  
Trade Openness ◽  
Kuznets Curve ◽  
Industrialized Countries ◽  
Newly Industrialized Countries ◽  
Long Run ◽  
Causality Tests ◽  
The Impact

This chapter analyzes the impact of trade openness on environmental pollution in the newly industrialized countries that have focused on trade over the period 1971-2010 by using recently developed panel unit root, cointegration, and causality tests. The results indicate a cointegration relationship between the variables. The results also show that trade openness increases carbon dioxide emissions with the elasticity of 0.53 and there is a Granger causality running from trade openness to carbon dioxide emissions in the long run. These findings may provide some policy implications. Without taking into account impact of trade on pollutions, optimistic environmental Kuznets curve hypothesis would be invalid. Therefore, policymakers who decide on environment policies should pay attention to not only growth effects but also trade effects on pollutions. Future empirical analysis would expose the new evidences for governmental policies and environmental regulations to change these effects positively.

scholarly journals CO2 Emissions, Financial Development, Trade, and Income in North America: A Spatial Panel Data Approach

SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402096808
Author(s):  
Haider Mahmood
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Capita Income ◽  
Positive Impact ◽  
Spillover Effects ◽  
Kuznets Curve ◽  
Spatial Effects ◽  
Per Capita Income ◽  
Spatial Panel Data ◽  
Per Capita

The current study attempts to explore the determinants of CO2 emissions per capita considering spatial effects for a panel of 21 North American countries. The results corroborate the existence of spatial dependence in per capita carbon dioxide emissions and its determinants. Adverse environmental spillover effects are found for all hypothesized determinants while per capita income showed a positive impact. Furthermore, the existence of environmental Kuznets curve hypothesis is proven with a turning point of 15,665 constant U.S. dollar per capita income, and 6 of the 21 investigated countries are found at the second stage of an inverted U-shaped relationship. An inverted U-shaped relationship between trade openness and carbon dioxide emissions per capita has also been found. Financial market development (foreign direct investment) seems to have monotonic positive (negative) effects.

Economic Growth And Carbon Dioxide Emissions: The Environmental Kuznets Curve Hypothesis In Yemen

2021 ◽  
Vol 2021 (68) ◽  
pp. 42-58
Author(s):  
Essa Alhannom ◽  
Ghaleb Mushabab
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Trade Openness ◽  
Kuznets Curve ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

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

scholarly journals Assessment of the impact of COVID-restrictions on the economy of Ukraine and the world

2021 ◽  
Vol 3 (4(59)) ◽  
pp. 46-50
Author(s):  
Serhii Voitko ◽  
Tetiana Mazanko
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Co2 Emissions ◽  
Economic Activity ◽  
Carbon Dioxide Emissions ◽  
Negative Impact ◽  
Economic Research ◽  
Transport Sector ◽  
The World ◽  
The Impact

The object of research is the processes of reducing economic activity in Ukraine and the world during COVID-restrictions, reducing the amount of carbon dioxide emissions in 2020 compared to 2019 by country and in various sectors of the economy. The most topical researches and publications in which the given questions are covered are analyzed. Based on statistical data, the paper shows a slight decline in Ukraine's GDP in 2020. Based on the consideration of the negative impact of quarantine restrictions, it was noted that the type of economic activity (EA) such as passenger transport suffered the most. At the same time, as the production of foreign trade, the performance of retail trade and construction has improved its dynamics. Elsewhere in the world, there has also been a slight economic downturn, while China has been able to maintain a slight increase in GDP. For 2021, there is a positive outlook for economic growth. The introduction of lockdowns and quarantine restrictions has led to a simultaneous reduction in CO2 emissions worldwide and reduced the negative impact on the environment. Thanks to the data of carbon dioxide emissions monitoring, it is possible to see a significant reduction in emissions since the beginning of COVID-restrictions in 2020. At the end of the year, the level of emissions reached almost the same level as before the restrictions, but the total volume for the year decreased significantly. If to look at the sectors, the largest amount of carbon dioxide emissions decreased in the aviation sector. This also applies to the land transport sector. Peaks of falling CO2 emissions occur in April 2020. The study showed that the reduction in economic activity due to «lockdowns» and quarantine restrictions affected the fall in energy consumption, especially in the aviation and land transport sectors, and this, in turn, led to a reduction carbon dioxide. This duly explains the relationship between declining economic growth and reducing CO2 emissions. The conducted research will be of interest to relevant ministries and departments in terms of their areas of responsibility, relevant organizations dealing with environmental and economic research, specialists who study and use in practice research on socio-economic problems of society.

scholarly journals The Impact of Energy, Agriculture, Macroeconomic and Human-Induced Indicators on Environmental Pollution from 1971 to 2011

2016 ◽  
Author(s):  
Samuel Asumadu-Sarkodie ◽  
Phebe Asantewaa Owusu
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Environmental Pollution ◽  
Carbon Dioxide Emissions ◽  
Crop Production ◽  
Renewable Energy Sources ◽  
Electricity Production ◽  
Kuznets Curve ◽  
Reduce Carbon Dioxide ◽  
The Impact

In this study, the impact of energy, agriculture, macroeconomic and human-induced indicators on environmental pollution from 1971 to 2011 is investigated using the statistically inspired modification of partial least squares (SIMPLS) regression model. There was evidence of a linear relationship between energy, agriculture, macroeconomic and human-induced indicators and carbon dioxide emissions. Evidence from the SIMPLS regression shows that a 1% increase in crop production index will reduce carbon dioxide emissions by 0.71%. Economic growth increased by 1% will reduce carbon dioxide emissions by 0.46%, thus supports the environmental Kuznets curve hypothesis that an increase in a country’s economic growth leads to a reduction in environmental pollution. An increase in electricity production from hydroelectric sources by 1% will reduce carbon dioxide emissions by 0.30%, thus increasing renewable energy sources in Ghana’s energy portfolio will help mitigate carbon dioxide emissions. Increasing Enteric Emissions by 1% will increase carbon dioxide emissions by 4.22% and a 1% increase in the Nitrogen content of Manure Management will increase carbon dioxide emissions by 6.69%. The SIMPLS regression forecasting exhibited a 5% MAPE from the prediction of carbon dioxide emissions.

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