Impact of financial development and energy consumption on environmental degradation in 184 countries using a dynamic panel model

Author(s):  
Sher Khan ◽  
Muhammad Kamran Khan ◽  
Bashir Muhammad
2021 ◽  
Vol 15 (1) ◽  
pp. 35-48
Author(s):  
Yogeeswari Subramaniam

Logistic performance has been improved tremendously in many parts of the world. Nonetheless, its improvement does not necessarily guarantee that environmental quality can be preserved. Hence, it is the objective of this study to examine the effect of logistic improvement on environmental degradation in developing countries. Applying dynamic panel model estimator for a panel of 50 developing countries for the period between 2010 and 2016, this study observes that the level of pollution tends to be higher with a higher level of logistic performance. The findings show that developing countries that did not adopt green practices on logistic performance pose negative effects in terms of air pollution, climate change, and global warming. Thus, the efforts to reduce environmental degradation must be comprehensive enough and the priority of environmental policies should be in the first place, targeting logistic performance. In other words, performance measure of logistic should also take into account its contribution to environmental quality.


Author(s):  
Jia Yu Xie ◽  
Dong Hee Suh ◽  
Sung-Kwan Joo

This paper examines how economic growth and renewable energy consumption are associated with air pollution using a dynamic panel approach. Focusing on several major air pollutants, namely, particulate matter, sulfur dioxide, nitrogen oxide, and carbon monoxide, this paper tests the environmental Kuznets hypothesis and determines whether the use of renewable energy sources contributes to a reduction in air pollution. Data from a balanced panel of 145 countries for the period between 2000 and 2014 was used for the estimation of the dynamic panel model. The results of the dynamic panel model showed inverted U-shaped curves for the relationship between economic development and particulate matter and sulfur dioxide emissions. The results also revealed that increasing renewable energy consumption contributes to an improvement in air quality. Moreover, it was found that urbanization tends to decrease sulfur dioxide and nitrogen oxide emissions, while trade openness reduces particulate matter and carbon monoxide emissions but increases sulfur dioxide emissions.


Author(s):  
Klaus Salhofer ◽  
Paul Feichtinger

Abstract Nearly 80 per cent of Common Agricultural Policy (CAP) expenditures are spent on three different measures: first pillar payments (FPPs), agri-environmental payments (AEPs) and less favoured area payments (LFAPs). Based on a dynamic panel model and farm accounting data for Bavaria, we find that, on average, 30 per cent of FPPs, 40–50 per cent of LFAPs, but no relevant share of AEPs are capitalised into land rental prices. The capitalisation ratio varies considerably across regions. Above average capitalisation ratios for FPPs are observed in more favourable areas with high yields, a low grassland share and large farms. The same is true for LFAPs for areas with high yields, large farms and a greater share of part-time farmers.


Author(s):  
Chirok Han ◽  
Peter C. B. Phillips ◽  
Donggyu Sul

2014 ◽  
Vol 2 (3) ◽  
pp. 217-225
Author(s):  
Yufeng Wang ◽  
Shulin Liu

AbstractFiscal behavior of local governments has great volatility in China, especially in the period of economic transition. This paper estimates fiscal behavior volatility by making regression analysis of panel data of 30 provinces from 1994 to 2011. Then we establish a dynamic panel model to study the direct and indirect impact of the fiscal behavior volatility on the urban-rural income disparity. Empirical results show that urban-rural income disparity has nonlinear relationship with economic growth and financial development and that fiscal behavior volatility expands the urban-rural income disparity directly and indirectly. The larger fiscal behavior volatility comes greater urban-rural income disparity. We also find that the urban-rural income disparity is further enlarged through dual economic structure. If one of the economic growth and financial development is fixed, the other one has an inverted U-shaped relationship with urban-rural income disparity.


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