The role of interaction effect between renewable energy consumption and real income in carbon emissions: Evidence from low-income countries

2022 ◽  
Vol 154 ◽  
pp. 111883
Author(s):  
Kizito Uyi Ehigiamusoe ◽  
Eyup Dogan
2019 ◽  
Vol 14 (3) ◽  
pp. 638-652 ◽  
Author(s):  
Javaid Ahmad Dar ◽  
Mohammad Asif

Purpose This study aims to fill the gap in income-environment literature by adding agricultural contribution to the nexus. The authors investigate the short-run and long-run impact of agricultural contribution, renewable energy consumption, real income, trade liberalisation and urbanisation on carbon emissions for a balanced panel of five South Asian Association for Regional Cooperation (SAARC) countries spanning the period 1990-2013. Design/methodology/approach Pedroni and Kao cointegration techniques have been used to test the existence of long-run relationship between the variables. The directions of causal relationships have been verified using Granger causality tests. Further, the long-run parameters of the baseline equation have been estimated by using the fully modified ordinary least squares, the technique developed by Pedroni, (2001a) for heterogeneous cointegrated panels. Findings The result reveals that agricultural contribution and renewable energy consumption improve environmental quality in the long run, while urbanisation and per capita real income degrade it. The study did not find any evidence of “pollution heaven hypothesis” in the selected countries. The Granger causality tests confirm bidirectional causality between carbon emissions and income and between carbon emissions and urbanisation. In addition, there is unidirectional causality running from agricultural contribution to renewable energy consumption. Originality/value This is the only study to investigate the role of agriculture sector in carbon mitigation from a panel of South Asian economies. To the best of the authors’ knowledge, it is also the first study to test the applicability of “pollution heaven hypothesis” for SAARC countries.


Forests ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 255
Author(s):  
Pablo Ponce ◽  
María de la Cruz Del Río-Rama ◽  
José Álvarez-García ◽  
Cristiana Oliveira

Deforestation shows the constant environmental degradation that occurs worldwide as a result of the growth of economic activity and the increase in population. This research examines the causal link between renewable energy consumption, GDP, GDP2, non-renewable energy price, population growth and forest area in high, middle- and low-income countries. Based on data obtained from World Development Indicators, the autoregressive distributed lag model, with a time series, is used to examine the long-term cointegration relationship between the variables. The results justify the existence of a joint long-term relationship between the variables analysed for the middle-income countries and low-income countries. When the forest area is not at its equilibrium level, the speed of adjustment is slow (0.44% and 8.7%), which is typical of the nature of this natural resource. An increase in the consumption of renewable energy is associated with an increase between 0.04 and 0.02 square kilometres of forest cover, respectively. The research does not show evidence about the equilibrium relationship in the short term. Growth in renewable energy consumption is one of the main drivers for preserving the forest area. Therefore, those responsible for making economic policies must aim their measures towards the use of clean energy.


2021 ◽  
Vol 13 (4) ◽  
pp. 1611
Author(s):  
Saima Mujeed ◽  
Shuangyan Li ◽  
Musarrat Jabeen ◽  
Abdelmohsen A. Nassani ◽  
Sameh E. Askar ◽  
...  

The role of women in economic development and the global environment is vital for progressing them towards the United Nations sustainable development goal (SDG-5) that emphasized the need to empower women in every walk of life. The study examines women’s autonomy in the sustainable development agenda under China’s open innovation system from 1975 to 2019. The study employed an autoregressive distributed lag (ARDL) model, vector autoregressive (VAR) Granger causality, and innovation accounting matrix to estimate parameters. The existing data are summarized and collated in the context of China to explain as a correlational study. The results show that women’s autonomy moderated with technology spills over to decrease greenhouse gas (GHG) emissions and substantiate the hump-shaped relationship between them. The increased spending on research and development (R&D) activities, patent publications, and renewable energy consumption empowers women to be equipped with the latest sustainable technologies to improve environmental quality. The pollution haven hypothesis verifies a given country, where trade liberalization policies tend to increase polluting industries to set up their plants that engaged in dirty production that exacerbate GHG emissions. The causality estimates confirmed that technological innovations and renewable energy consumption leads to women’s autonomy. In contrast, females’ share in the labor force participation rate leads to an increase in renewable energy consumption. Thus, it is evident that there is a positive role of women in the country’s sustainable development.


2020 ◽  
Vol 32 ◽  
pp. 100535 ◽  
Author(s):  
Hemachandra Padhan ◽  
Purna Chandra Padhang ◽  
Aviral Kumar Tiwari ◽  
Rizwan Ahmed ◽  
Shawkat Hammoudeh

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