A threshold approach to sustainable development: Nonlinear relationship between renewable energy consumption, natural resource rent, and ecological footprint

2021 ◽  
Vol 295 ◽  
pp. 113073
Author(s):  
Asad Ullah ◽  
Mansoora Ahmed ◽  
Syed Ali Raza ◽  
Sajid Ali
2021 ◽  
Vol 9 ◽  
Author(s):  
Zeeshan Fareed ◽  
Sultan Salem ◽  
Tomiwa Sunday Adebayo ◽  
Ugur Korkut Pata ◽  
Farrukh Shahzad

Sustainable development and reducing environmental pressure are major issues that concern developed as well as developing countries. Although researchers widely use carbon dioxide emissions and ecological footprint within the scope of environmental degradation, a more comprehensive ecological indicator is needed to assess environmental sustainability. In this context, the load capacity factor enables a comprehensive environmental sustainability assessment through the simultaneous analysis of biocapacity and ecological footprint. However, there are few studies analyzing the determinants of load capacity factor and this study aims to fill this gap for Indonesia. Using the recently developed Fourier quantile causality test, this study investigates the impact of income, export diversification, non-renewable and renewable energy consumption on the load capacity factor for Indonesia during 1965Q1–2014Q4. The results show unidirectional causality from non-renewable energy consumption to the load capacity factor at all quantiles, while income, export diversification, and renewable energy are the causes of environmental quality at middle and higher quantiles (within 0.5, 0.7, and 0.9). Most importantly, renewable energy and export diversification increase the load capacity factor and thus support environmental quality. In contrast, an increase in income and consumption of non-renewable energy reduces the load capacity factor. These results highlight the importance of renewable energy and export diversification for the sustainable development of Indonesia.


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.


Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3289 ◽  
Author(s):  
Vasylieva ◽  
Lyulyov ◽  
Bilan ◽  
Streimikiene

The paper investigates the relationships between economic, social, and environmental dimensions of sustainable development. GDP growth represents the main economic dimension, greenhouse gas (GHG) emissions and renewable energy consumption the environmental dimension, and corruption the social dimension of sustainable development. The investigation of these relationships is based on the concept of the Environmental Kuznets Curve hypothesis about the non-linear relationship between economic growth and environmental pollution. The authors used the panel data of EU countries and Ukraine for 2000–2016 years from the Eurostat database. The obtained results confirmed the Environmental Kuznets curve hypothesis for the EU and Ukraine. All the indicators were statistically significant at 1% and 5% levels. The findings proved that increasing renewable energy (RE) by 1% led to a decline of GHG in the interval (0.166103, 0.220551), and аn increase of the Control of Corruption Index by 1% provoked a decline of GHG by 0.88%. The conducted study enabled the authors to conclude that Ukraine needs to increase the GDP level per capita given the economy diversification and via the introduction of more effective and “clean” production technologies.


2021 ◽  
Vol 13 (18) ◽  
pp. 10327
Author(s):  
Anca Mehedintu ◽  
Georgeta Soava ◽  
Mihaela Sterpu ◽  
Eugenia Grecu

This article is part of the concerns generated by the need to increase the consumption of renewable energy, so that in the European Union (EU) countries, its share in the final energy consumption, to reach 32% by 2030, increases. In the context in which, in the specialized literature, the analysis of renewable energy consumption by activity sectors is approached very little, such an analysis has high utility. The variables of interest are the share of renewable energy in the final energy consumption, and the share of renewable energy sources in the final energy consumption in transport, electricity, and heating and cooling. The study performs a comparative analysis of the evolution of these indicators for the period 2004–2019 for Romania and the EU, an empirical estimate of the evolution of indicators using time regression and autoregressive models, a forecast of the share of renewable energy consumption in the final energy consumption and by the main sectors (transport, electricity, and heating and cooling) for the 2030 horizon, providing appropriate scenarios for achieving the EU established goals, as well as an analysis of the interdependence between the indicators. Through the results obtained, the paper can contribute to improving the framework for the sustainable development of energy consumption.


2022 ◽  
Vol 9 ◽  
Author(s):  
Xiaowen Wan ◽  
Atif Jahanger ◽  
Muhammad Usman ◽  
Magdalena Radulescu ◽  
Daniel Balsalobre-Lorente ◽  
...  

The study explores the association between economic complexity, globalization, renewable and non-renewable energy consumption on the ecological footprint in the case of India from 1990–2018. The autoregressive distributed lag (ARDL) is applied to measure the long-run elasticity, while the vector error correction model (VECM) is applied to classify the causal path. The empirical findings demonstrate that economic complexity, globalization process, and renewable energy consumption play a dominant role in minimizing environmental degradation. In contrast, economic growth and non-renewable energy consumption are more responsible for increasing the pollution level in both the short and long run. Furthermore, the VECM outcomes disclose that there is long-run causality between ecological footprint and economic complexity. Moreover, the empirical outcomes are robust to various robustness checks performed for analysis to the consistency of our main results. The Indian government/policymakers should encourage a more environmentally friendly production process and eco-friendly technologies in exports to minimize environmental degradation.


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