scholarly journals The Effects of Environmental Tax On Ecological Footprint and Carbon Dioxide Emissions: a Nonlinear Cointegration Analysis On Turkey

2021 ◽  
Author(s):  
Osman Murat Telatar ◽  
Nagihan Birinci
Keyword(s):  
Carbon Dioxide ◽  
Nonlinear Analysis ◽  
Carbon Dioxide Emissions ◽  
Ecological Footprint ◽  
Cointegration Analysis ◽  
Environmental Taxes ◽  
Annual Data ◽  
Environmental Tax ◽  
Nonlinear Methods ◽  
Long Run

Abstract This article presents a nonlinear analysis in Turkey on the effect of an environmental tax (ET) on the ecological footprint (EF) and carbon dioxide (CO2) emissions. In the literature, most of the studies examining the effects of Environmental Taxes (ETs) on Environmental Degradation (ED) have used linear methods. The number of studies examining this relationship with nonlinear methods is few. However, there is no study examining the long-run effects of ETs on the EF, which is one of the most important indicators of ED, using nonlinear analysis. This study contributes to the literature by investigating the long-run effects of ETs on EF and CO2 emissions in Turkey by nonlinear analysis. Therefore, the model consisting of annual data for the period 1994–2019 was estimated by Dufrénot et al. (2006) nonlinear cointegration test. According to the estimation results obtained, ETs do not have any long-run effects on EF and CO2 emissions. Accordingly, it can be concluded that ETs in Turkey do not affect preventing ED.

scholarly journals THE LONG-RUN IMPACT OF ENERGY USE, INCOME AND TRADE ON CARBON DIOXIDE EMISSIONS IN MERCOSUR MEMBER STATES

2019 ◽  
Vol 17 (2) ◽  
pp. 151-170
Author(s):  
Alejandro Dellachiesa ◽  
Tunhsiang Edward Yu
Keyword(s):  
Carbon Dioxide ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Energy Use ◽  
Panel Cointegration ◽  
Trade Agreement ◽  
Cointegration Analysis ◽  
Positive Effects ◽  
Long Run ◽  
Reduction Of Co2

Using a heterogeneous panel cointegration analysis, this study examines the long-run impacts of income, trade, and energy use on carbon dioxide emissions (CO2), in Argentina, Brazil, Paraguay and Uruguay between 1970 − 2008. Results show that the long-run impact of those factors on CO2 emissions; particularly trade, changed following the establishment of the Mercosur regional free trade agreement in 1991. The results also suggest that increasing the level of openness, after removing barriers to trade and encouraging investments in transportation infrastructure, created positive effects in the reduction of CO2 emissions post-Mercosur. Our findings indicate that the enhancement and increase in utilization of the region’s inland waterway system could shift the Mercosur’s transport matrix towards more economical transportation modes that generates positive effects on the environment.

Impact of Environmental Tax on Comparative Advantage of Food and Food Products: A Study of G20 Countries in Light of Environmentally Sensitive Goods

2021 ◽  
pp. 001946622110352
Author(s):  
Alisha Mahajan ◽  
Kakali Majumdar
Keyword(s):  
Comparative Advantage ◽  
Food Products ◽  
Environmental Taxes ◽  
Environmental Tax ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Environmentally Sensitive ◽  
The Relationship

Many countries are under constant fear that environmental policies might negatively influence the international competitiveness of polluting industries. In this study, we aim to evaluate the relationship and impact of the environmental tax on comparative advantage of trade in food and food products industry, considered to be one of the highly environmentally sensitive industries. This study also investigates, whether this relationship differs among countries covered in G20, with the help of correlation analysis. We select panel autoregressive distributed lag approach for this study as it can analyse long-run as well as short-run association even when the variables are stationary at different orders of integration. Using panel data from G20 countries over the period of 21 years that is from 1994 to 2015, it is concluded that when we allow environmental taxes to interact with the revealed comparative advantage (RCA) of G20 nations, the overall impact of the environmental tax on the RCA is negative in the long period. It is therefore suggested that countries should follow Porter hypothesis to stimulate innovations resulting from strict environmental regulations that affect the environment in least possible manner. JEL Codes: C01, C23, C33, F18, O57, Q5

scholarly journals ESTIMATING ATMOSPHERIC CARBON DIOXIDE EMISSIONS THRESHOLD FOR NIGERIA: A GUIDE FOR ENVIRONMENTAL POLICY

2018 ◽  
Vol 6 (9) ◽  
pp. 178-195
Author(s):  
Aliyu Alhaji Jibrilla
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Atmospheric Carbon Dioxide ◽  
Population Change ◽  
Distributed Lag ◽  
Long Run ◽  
Long Term Effect ◽  
Short Run ◽  
Pollution Emissions

This study empirically evaluates whether Green House Gases (GHGs) significantly increase with the rising population and urban growth in Nigeria. In addition, the study examine whether the energy demand also influences Nigerian contribution of global pollution emissions. The results of the Autoregressive Distributed Lag (ARDL) cointegration test indicated long-run and stable relationships among the variables. For affluence, we find evidence that, in the long run, domestic per capita income significantly increases carbon dioxide emissions and then falls after a certain extreme point, providing evidence of an inverted EKC hypothesis in Nigeria. The EKC finding was further supported by appropriate inverted U test. The results also demonstrated that both urbanisation and population change do not have a long term effect on emissions; although urbanisation seems to significantly raise emissions in the short-run.  Energy demand has been found to have a significantly positive elasticity effect on carbon dioxide emissions both in the long- and short-run. The short-run Granger causality results indicate that, all variables make a short-run adjustment to correct any deviation from the long-run equilibrium. In addition, analysis of the error correction models reveals that all of the variables contribute to their stable long-run relationship.

Population Growth and Urbanization in Africa

2016 ◽  
pp. 282-297 ◽  
Author(s):  
Samuel Adams ◽  
Eric Evans Osei Opoku
Keyword(s):  
Carbon Dioxide ◽  
Population Growth ◽  
Carbon Dioxide Emissions ◽  
Age Groups ◽  
African Countries ◽  
Pooled Mean Group ◽  
Long Run ◽  
Negative Effect ◽  
Short Run ◽  
Sub Saharan

This study examined the effect of population growth and urbanization on the environment (carbon dioxide emissions) for 37 sub Saharan African countries based on 1980-2010 annual data. Using the Pooled Mean Group estimation technique, the findings of the study show that affluence and industrialization have negative effect on the environment (increases carbon dioxide emissions) while urbanization does not have a significant effect on carbon dioxide emissions. The population variable is significant only in the long run but insignificant in the short run. Also, after controlling for the different age groups, the results show that the more active age group (15-59) is positive and significantly related to carbon dioxide emissions.

scholarly journals The Causal Connection between CO2 Emissions and Agricultural Productivity in Pakistan: Empirical Evidence from an Autoregressive Distributed Lag Bounds Testing Approach

2019 ◽  
Vol 9 (8) ◽  
pp. 1692 ◽  
Author(s):  
Abdul Rehman ◽  
Ilhan Ozturk ◽  
Deyuan Zhang
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Food Grains ◽  
Long Run ◽  
Total Food ◽  
Short Run ◽  
Seed Distribution

The rapid agricultural development and mechanization of agronomic diligence has led to a significant growth in energy consumption and CO2 emission. Agriculture has a dominant contribution to boosting the economy of any country. In this paper, we demonstrate carbon dioxide emissions’ association with cropped area, energy use, fertilizer offtake, gross domestic product per capita, improved seed distribution, total food grains and water availability in Pakistan for the period of 1987-2017. We employed Augmented Dickey-Fuller and Phillips-Perron unit root tests to examine the variables’ stationarity. An autoregressive distributed lag (ARDL) bounds testing technique to cointegration was applied to demonstrate the causality linkage among study variables from the evidence of long-run and short-run analyses. The long-run evidence reveals that cropped area, energy usage, fertilizer offtake, gross domestic product per capita and water availability have a positive and significant association with carbon dioxide emissions, while the analysis results of improved seed distribution and total food grains have a negative association with carbon dioxide emissions in Pakistan. Overall, the long-run effects are stronger than the short-run dynamics, in terms of the impact of explanatory variables on carbon dioxide emission, thus making the findings heterogeneous. Possible initiatives should be taken by the government of Pakistan to improve the agriculture sector and also introduce new policies to reduce the emissions of carbon dioxide.

Research Note: Tourism as a Factor of Growth – the Case of Brazil

2011 ◽  
Vol 17 (6) ◽  
pp. 1375-1386 ◽  
Author(s):  
Juan Gabriel Brida ◽  
Lionello F. Punzo ◽  
Wiston Adrián Risso
Keyword(s):  
Dynamic Panel Data ◽  
Cointegration Analysis ◽  
Quality Data ◽  
International Tourism ◽  
Annual Data ◽  
Data Sets ◽  
Real Rate ◽  
Specific Test ◽  
The Real ◽  
Long Run

International tourism is recognized to contribute to long-run growth through a whole list of diverse channels. This belief that tourism can cause long-run growth is known in the literature as the ‘tourism-led growth hypothesis’. This case study of Brazil can be taken as a specific test for such a hypothesis. In the paper, two different econometric methodologies are applied to two distinct data sets, showing that the results are independent of either data or methodology. On the one hand, annual data from 1965 to 2007 for Brazil as a whole are used for a cointegration analysis to look for the existence of a long-run relationship among variables of economic growth, international tourism earnings and the real exchange rate. On the other hand, high-quality data for the 27 Brazilian states, though for a shorter period (from 1990 to 2005), enable the use of the dynamic panel data model proposed by Arellano and Bond (1991). The authors show that the long-run elasticities between real per capita GDP with respect to tourism receipts and the real rate of exchange are 0.13 and 0.30, respectively. Finally, they compare their results with those of similar studies.

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 The Effect of Higher Education on Growth: A Cointegration Analysis

2013 ◽  
Author(s):  
Murat Mustafa Kutlutürk ◽  
Hakan Kasım Akmaz ◽  
Ahmet Çetin
Keyword(s):  
Higher Education ◽  
Granger Causality ◽  
Cointegration Analysis ◽  
Annual Data ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

In this study the relationship between higher education and economic growth was investigated using annual data between 1988 and 2012 for Turkey. To see short and long run effects of higher education on growth the Autoregressive Distributed Lag (ARDL) testing approach was used. In this investigation ratio of higher education graduates in employment was used as an explanatory variable. Zivot and Andrews test was implemented for the variables. The long and short run effects of higher education on growth was found significant. Granger causality test was implemented and one way Granger causality from higher education to growth was determined.

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