How do trade and economic growth impact environmental degradation? New evidence and policy implications from the ARDL approach

Author(s):  
Benjamin Ampomah Asiedu ◽  
Bright A. Gyamfi ◽  
Evans Oteng
2021 ◽  
Vol 9 ◽  
Author(s):  
Salim Khan ◽  
Wang Yahong

Several researchers have studied the relationship between poverty and environmental degradation, as these concerns are remained at top priority in achieving Sustainable Development Goals (SDGs). However, the symmetric and asymmetric impact of poverty and income inequality along with population and economic growth on carbon emissions (CO2e) has not been studied in the case of Pakistan. For this purpose, the short and long-run impact of poverty, income inequality, population, and GDP per capita on CO2e investigated by applying the Autoregressive Distributive Lag (ARDL) along with Non-linear Autoregressive Distributive Lag (NARDL) co-integration approach in the context of Pakistan for period 1971–2015. The symmetric results of the current study show poverty and population density along with GDP per capita increase carbon emissions in both the short and long-run, while income inequality has no impact on carbon emissions in the short-run. While in the long-run the symmetric results show that income inequality weakens environmental degradation in terms of carbon emissions. The analysis of NARDL also supports the results obtained from ARDL and suggests a positive effect of poverty, population, and economic growth on carbon emission in Pakistan. The empirical findings of the current study provide policy implications in light of the United Nation's SDGs for the development of Pakistan.


2020 ◽  
Vol 8 (3) ◽  
pp. 171-184
Author(s):  
Anthony Orji ◽  
Jonathan E. Ogbuabor ◽  
Kenneth Kama ◽  
Onyinye I. Anthony-Orjic

The question of whether institutional quality is an important driver of growth has been the subject of a growing literature in both developed and developing economies across the globe. This study revisits this relationship in Nigeria from 1981Q1 to 2016Q4 and discusses the relevant policy implications for post Covid-19 Nigeria. The study adopted the ARDL approach which uses a bounds test approach based on unrestricted error correction model (UECM) to test for a long run relationship among the relevant variables. The findings indicate that institutional quality impacts negatively but insignificantly on growth in Nigeria, both at the aggregate and sectoral levels. However, initial output growth levels, capital and labour were found to be important drivers of growth in the country, while trade is growth-retarding. The study concludes that in this post Covid-19 era in Nigeria, there is need to improve the quality of socio-economic and political institutions in the country so that a more robust impact of these institutions can be felt in the economic performance of the country both at the aggregate and sectoral levels.


2021 ◽  
Author(s):  
Khuda Bakhsh ◽  
Tanzila Akmal ◽  
Tauqeer Ahmad ◽  
Qasir Abbas

Abstract Developing countries like Pakistan majorly depends on fossil fuels for achieving higher economic growth but have sloppy environmental rules and regulations in order to attract foreign direct investment (FDI). As a result, energy consumption is considered as the primary cause of environmental degradation. Besides CO2 emission, environmental degradation is also associated with emission of sulfur dioxide (SO2). The purpose of this study was to investigate the relationship among SO2 emissions, energy consumption, economic growth and FDI in Pakistan. By applying the 3SLS method study has estimated the scale effect, composition effect and technique effect. The scale effect and technique effect findings indicated that capital stock, FDI, and SO2 emissions all had a significant impact on GDP. When the capital accumulation effects of FDI were considered, the relationship between FDI and stock of capital was found to be positive. According to the technique effect results, FDI, population density, and energy consumption were all significantly related to SO2 emissions. The study came to a conclusion with significant policy implications.


Author(s):  
Miyun Zhao ◽  
Rui Yang ◽  
Yi Li

This study seeks to investigate the endogenous relationship between financial leverage, economic growth and environmental degradation in China by employing a the generalized moments method (GMM) panel vector autoregressive (PVAR) approach with a panel of data from China’s 30 provinces over the period 1997–2016. Three key results arise. First, financial leverage can significantly lessen economic growth, while economic growth decreases financial leverage. Second, economic growth provides an important impetus to boost carbon emissions. Finally, carbon emissions have inversely pushed up financial leverage. These results reflect to some extent China’s impressive rate of economic growth, which has been attained via continuously supporting inefficient state-owned enterprises and heavy and polluting industries through bank loans. The results are further supported by the variance decomposition. The findings provide valuable policy implications for deepening financial supply-side structure reform to transform and upgrade China’s real economy. These policy implications are conductive to developing a low-carbon economy.


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