Cointegration between Economic, Ecological and Tourism Development

2021 ◽  
Vol 12 (23) ◽  
pp. 169-180
Author(s):  
Tetyana Pimonenko ◽  
Oleksii Lyulyov ◽  
Yana Us
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Tourism Development ◽  
Panel Cointegration ◽  
Ecological Indicators ◽  
Ordinary Least Squares ◽  
Gas Emissions ◽  
The Eu

The well-developed countries have more options to attract tourists and generate profit from the tourism development. At the same time, the high volume of CO2 emissions, ecological risks, polluted nature restrict the tourism development in the country. The reorientation of global development to green growth provokes transformations in all policies of the country’s development. It allows green countries to attract more tourists. In this case, the paper aims to analyze the relationships between economic growth, ecological indicators, and tourism development. Ukraine has chosen the EU vector of development. In this case, it is necessary to identify the targets for synchronizing the Ukrainian policies (economic, ecological, social, tourism, etc.) with the EU.  The objects of the investigation were Ukraine and Visegrad countries for 2000-2020 years. The panel data was generated from World Data Bank, Eurostat, European Environmental Agency, and Ukrstat. The dependent variable – GDP (as an indicator of economic growth), independent – greenhouse gas emissions and share of renewable energy in the total energy consumption (ecological indicators), the volume of tourists (indicators of tourism development). At the first stage, the study used bibliometric analysis to identify publication activities’ general tendency on the analyzed issues. The following methods were applied to check the hypothesis on cointegration between variables: panel unit root test, Pedroni panel cointegration tests, and the fully modified ordinary least squares and dynamic ordinary least squares panel cointegration techniques. The findings confirmed the relationships between economic, ecological, and tourism development. Thus, the decline of greenhouse gas emissions leads to increasing tourists, and as a consequence, it provokes GDP growth.

scholarly journals Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries

2021 ◽  
Vol 13 (24) ◽  
pp. 13611
Author(s):  
José Alberto Fuinhas ◽  
Matheus Koengkan ◽  
Nuno Carlos Leitão ◽  
Chinazaekpere Nwani ◽  
Gizem Uzuner ◽  
...  
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Electric Vehicles ◽  
Ordinary Least Squares ◽  
Gas Emissions ◽  
Battery Electric Vehicles ◽  
The Eu

This analysis explored the effect of battery electric vehicles (BEVs) on greenhouse gas emissions (GHGs) in a panel of twenty-nine countries from the European Union (EU) from 2010 to 2020. The method of moments quantile regression (MM-QR) was used, and the ordinary least squares with fixed effects (OLSfe) was used to verify the robustness of the results. The MM-QR support that in all three quantiles, economic growth causes a positive impact on GHGs. In the 50th and 75th quantiles, energy consumption causes a positive effect on GHGs. BEVs in the 25th, 50th, and 75th quantiles have a negative impact on GHGs. The OLSfe reveals that economic growth has a negative effect on GHGs, which contradicts the results from MM-QR. Energy consumption positively impacts GHGs. BEVs negatively impacts GHGs. Although the EU has supported a more sustainable transport system, accelerating the adoption of BEVs still requires effective political planning to achieve net-zero emissions. Thus, BEVs are an important technology to reduce GHGs to achieve the EU targets of decarbonising the energy sector. This research topic can open policy discussion between industry, government, and researchers, towards ensuring that BEVs provide a climate change mitigation pathway in the EU region.

scholarly journals Connecting Blue Economy and Economic Growth to Climate Change: Evidence from European Union Countries

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4600
Author(s):  
Roxana Maria Bădîrcea ◽  
Alina Georgiana Manta ◽  
Nicoleta Mihaela Florea ◽  
Silvia Puiu ◽  
Liviu Florin Manta ◽  
...  
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Ordinary Least Squares ◽  
Annual Data ◽  
Gas Emissions ◽  
Cointegration Tests ◽  
Blue Economy

Blue Economy represents a new and interesting concept on a global level, both from the economic potential but also by the fact that it can be used to reduce environmental degradation. The main goal of this research is to identify the causality relations between the greenhouse gas emissions, the Blue Economy and economic growth based on a panel of annual data from the 28 countries that are members of the European Union (EU) over the 2009–2018 period. After applying stationarity and cointegration tests, the long term cointegration coefficients shall be determined with the help of the fully modified ordinary least squares (FMOLS) estimator. Granger causality estimation based on the vector error correction model (VECM) was applied to identify the causality relationship between the variables and to detect the direction of causality. Based on the identified causality relations, the Blue Economy has a significant influence on greenhouse gas emissions in the long run. Unidirectional causality relations were identified from the economic growth of greenhouse gas emissions in the long term, as well as from the greenhouse gas emissions on economic growth in the short term.

Low-Carbon Russia: Prospects after the Crisis

2009 ◽  
pp. 107-120 ◽  
Author(s):  
I. Bashmakov
Keyword(s):  
Economic Growth ◽  
Potential Energy ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Low Carbon ◽  
Modeling Tools ◽  
Gas Emissions ◽  
Scenario Approach

On the eve of the worldwide negotiations of a new climate agreement in December 2009 in Copenhagen it is important to clearly understand what Russia can do to mitigate energy-related greenhouse gas emissions in the medium (until 2020) and in the long term (until 2050). The paper investigates this issue using modeling tools and scenario approach. It concludes that transition to the "Low-Carbon Russia" scenarios must be accomplished in 2020—2030 or sooner, not only to mitigate emissions, but to block potential energy shortages and its costliness which can hinder economic growth.

Analysing Nexus between Economic Growth, GHG Emissions, and Energy Consumption for India

2021 ◽  
Vol 17 (1) ◽  
pp. 1-16
Author(s):  
Asim Hasan ◽  
Rahil Akhtar Usmani
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Carbon Emissions ◽  
Series Data ◽  
Gas Emissions ◽  
Current Time ◽  
Causal Influence ◽  
Integration Test

Rising greenhouse gas emissions is an important issue of the current time. India’s massive greenhouse gas emissions is ranked third globally. The escalating energy demand in the country has opened the gateway for further increase in emissions. Recent studies suggest strong nexus between energy consumption, economic growth, and carbon emissions. This study has the objective to empirically test the aforementioned interdependencies. The co-integration test and multivariate vector error correction model (VECM) are used for the analysis and the Granger Causality test is used to establish the direction of causality. The time-series data for the period of 1971–2011 is used for the analysis. The results of the study confirm strong co-integration between variables. The causality results show that economic growth exerts a causal influence on carbon emissions, energy consumption exerts a causal influence on economic growth, and carbon emissions exert a causal influence on economic growth. Based on the results, the study suggests a policy that focuses on energy conservation and gradual replacement of fossil fuels with renewable energy sources, which would be beneficial for the environment and the society.

scholarly journals The impact of agriculture and renewable energy on climate change in Central and East European Countries

2020 ◽  
Vol 66 (No. 10) ◽  
pp. 447-457
Author(s):  
Nicoleta Mihaela Florea ◽  
Roxana Maria Badircea ◽  
Ramona Costina Pirvu ◽  
Alina Georgiana Manta ◽  
Marius Dalian Doran ◽  
...  
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Causality Test ◽  
Gas Emissions ◽  
The Impact

According to the objectives of the European Union concerning the climate changes, Member States should take all the necessary measures in order to reduce the greenhouse gas emissions. The aim of this study is to identify the causality relations between greenhouse gases emissions, added value from agriculture, renewable energy consumption, and economic growth based on a panel consisting of 11 states from the Central and Eastern Europe (CEECs) in the period between 2000 and 2017. The Autoregressive Distributed Lag (ARDL) method was used to estimate the long-term relationships among the variables. Also a Granger causality test based on the ARDL – Error Correction Model (ECM) and a Pairwise Granger causality test were used to identify the causality relationship and to detect the direction of causality among the variables. The results obtained reveal, in the long term, two bidirectional relationships between agriculture and economic growth and two unidirectional relationships from agriculture to greenhouse gas emissions and renewable energy. In the short term, four unidirectional relationships were found from agriculture to all the variables in the model and one unidirectional relationship from renewable energy to greenhouse gas emissions.

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