CO2 emissions, energy consumption and economic growth in China: A panel data analysis

Energy Policy ◽  
2011 ◽  
Vol 39 (9) ◽  
pp. 4870-4875 ◽  
Author(s):  
S.S. Wang ◽  
D.Q. Zhou ◽  
P. Zhou ◽  
Q.W. Wang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Data Analysis ◽  
Panel Data ◽  
Co2 Emissions ◽  
Panel Data Analysis

scholarly journals Greening the Financial System in USA, Canada and Brazil: A Panel Data Analysis

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2217
Author(s):  
Ioan Batrancea ◽  
Larissa Batrancea ◽  
Malar Maran Rathnaswamy ◽  
Horia Tulai ◽  
Gheorghe Fatacean ◽  
...  
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Global Warming ◽  
Data Analysis ◽  
Panel Data ◽  
Co2 Emissions ◽  
Panel Data Analysis ◽  
Financial Sector ◽  
Financial Systems ◽  
Domestic Credit

Each country designs its own scheme to achieve green financing and, in general, credit is considered to be a fundamental source of greening financial systems. The novelty of this study resides in that we examined green financing initiatives in USA, Canada and Brazil by focusing on major components of the financial systems before, during and after the 2008 world financial crisis. By means of panel data analysis conducted on observations ranging across the period 1970–2018, we investigated variables such as domestic credit from banks, domestic credit from the financial sector, GDP, N2O emissions, CO2 emissions and the value added from agriculture, forest and fishing activities. According to our findings, domestic credit from banks was insufficient to achieve green financing. Namely, in order to increase economic growth while reducing global warming and climate change, the financial sector should assume a bigger role in funding green investments. Moreover, our results showed that domestic credit from the financial sector contributed to green financing, while CO2 emissions remained a challenge in capping global warming at the 1.5 °C level. Our empirical study supports the idea that economic growth together with policies targeting climate change and global warming can contribute to green financing. Over and above that, governments should strive to design sustainable fiscal and monetary policies that promote green financing.

scholarly journals DO ECONOMIC GROWTH AND ENVIRONMENT QUALITY CONTRIBUTE TO TOURISM DEVELOPMENT IN EU COUNTRIES? A PANEL DATA ANALYSIS

2021 ◽  
Vol 27 (6) ◽  
pp. 1509-1538
Author(s):  
Daniel Badulescu ◽  
Ramona Simut ◽  
Ioana Mester ◽  
Simona Dzitac ◽  
Mariana Sehleanu ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Panel Data ◽  
Co2 Emissions ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Tourism Development ◽  
Tourism Industry ◽  
Long Run ◽  
Tourism Sector

The positive impact of the tourism industry on economic growth, revenues, infrastructure, employment, social inclusion and poverty reduction, although widely recognised, has been lately weighted against the appearance and exacerbation of several problems, such as: environmental footprint, increase of income inequality, cost increases related to solid waste collection, energy consumption, increased global CO2 emissions. On the other hand, the tourism sector is not just an active economic, societal, or environmental change agent; in turn, the tourism sector supports or is highly influenced by various factors, such as climate change, economic, political, or social factors. More recently, this industry has been highly impacted by the pandemic, technological developments and cultural trends. In this article we examined both the short and long-run relationship between tourism development and economic growth, CO2 emissions and energy consumption in European Union member states (EU27), by using the Principal Component Analysis (PCA) technique and autoregressive distributed lag (ARDL) model for panel data. The findings suggest that economic growth and energy consumption have a statistically significant impact on the tourism index both in the short and long-run, whereas CO2 emissions only have a significant impact upon the tourism index on the long run.

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