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Non-renewable resource

About: Non-renewable resource is a research topic. Over the lifetime, 1205 publications have been published within this topic receiving 30271 citations. The topic is also known as: finite resource.


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01 Nov 2002
TL;DR: In this article, the authors define the concept of sustainable development as "the allocation of Depletable, Non-recyclable Energy Resources: Oil, Gas, Coal and Uranium".
Abstract: 1. Visions of the Future. 2. Valuing the Environment: Concepts. 3. Valuing the Environment: Methods. 4. Property Rights, Externalities, and Environmental Problems. 5. Sustainable Development: Defining the Concept. 6. The Population Problem. 7. The Allocation of Depletable and Renewable Resources. 8. Depletable, Non-recyclable Energy Resources: Oil, Gas, Coal and Uranium. 9. Recyclable Resources: Minerals, Paper, Glass, etc. 10. Replenishable but Depletable Resources: Water. 11. Reproducible Private-Property Resources: Agriculture. 12. Storable, Renewable Resources: Forests. 13. Renewable Common-Property Resources: Fisheries and Other Species. 14. Generalized Resource Scarcity. 15. Economics of Pollution Control: An Overview. 16. Stationary-Source Local Air Pollution. 17. Regional and Global Air Pollutants: Acid Rain and Atmospheric Modification. 18. Mobile -Source Air Pollution. 19. Water Pollution. 20. Toxic Substances. 21. Environmental Justice. 22. Development, Poverty, and the Environment. 23. The Quest for Sustainable Development. 24. Visions of the Future Revisited.

1,607 citations

Journal ArticleDOI
TL;DR: It is affirmed that nonrenewable energy consumption and economic growth increase carbon emission flaring while renewable energy consumption declines CO2 emissions, and effective policy implications could be drawn toward modern and environmentally friendly energy sources, especially in attaining the Sustainable Development Goals.

806 citations

Journal ArticleDOI
TL;DR: The area with the greatest potential for yielding biomass energy that reduces net warming and avoids competition with food production is land that was previously used for agriculture or pasture but that has been abandoned and not converted to forest or urban areas.
Abstract: Increased production of biomass for energy has the potential to offset substantial use of fossil fuels, but it also has the potential to threaten conservation areas, pollute water resources and decrease food security. The net effect of biomass energy agriculture on climate could be eithercoolingor warming, depending on the crop,the technology for converting biomass into useable energy, and the difference in carbon stocks and reflectance of solar radiation between the biomass crop and the preexisting vegetation. The area with the greatest potential for yielding biomass energy that reduces net warming andavoidscompetitionwithfoodproduction islandthat was previously used for agriculture or pasture but that has been abandoned and not converted to forest or urban areas. At the global scale, potential above-ground plant growth on these abandoned lands has an energy content representing � 5% of world primary energy consumption in 2006. The global potential for biomass energy production is large in absolute terms, but it is notenoughtoreplacemore thana fewpercentof current fossil fuel usage. Increasing biomass energy production beyond this level would probably reduce food security and exacerbate forcing of climate change. Biomass energy in context Biomass energy sources are among the most promising, most hyped and most heavily subsidized renewable energy sources. They have real potential to heighten energy security in regions without abundant fossil fuel reserves, to increase supplies of liquid transportation fuels and to decrease net emissions of carbon into the atmosphere per unit of energy delivered. However, increased exploitation of biomass energy also risks sacrificing natural areas to managed monocultures, contaminating waterways with agricultural pollutants, threatening food supplies or farm lifestyles through competition for land and increasing net emissions of carbon to the atmosphere, as a consequence of increased deforestation or energy-demanding manufacturing technologies. The opportunities are real, but the concerns are also justified. As investments in biomass energy increase, there needs to be an active, continuing discussion on strategies for balancing the pros and cons of biomass energy. The future of biomass energy in the global energy system is dependent on the complex interplay of four major factors. The first is conversion technology and the prospects for using new plant and microbe varieties as well as novel biomass-to-fuel conversion processes for increasing the yield of usable energy from each unit of available land or water. The second is the intrinsic productive capacity of the land and ocean ecosystems that can be used for biomass energy production. The third is alternative uses for the land and water resources that are candidate sites for biomass energy production. The fourth is offsite implications of biomass energy technologies for invasive species [1] and for levels of air and water pollution. These factors must be effectively integrated to maximize the benefits and minimize the ecosystem and societal costs of biomass energy production. In particular, constraints owing to ecosystem characteristics, competition from alternative land uses and offsite impacts can lead to practical or desirable levels of biomass energy production that are much smaller than theoretical potential levels. A clear picture of these constraints can be an important asset in encouraging rational development of the biomass energy industry. In this article we briefly review all four of these factors, with an emphasis on their integration. We first discuss the main types of biomass energy production systems, their relative efficiencies, and their environmental impacts. Next, we consider the role of existing vegetation in the distinction between energy and climate security, arguing that biomass energy production on current forest or crop lands is unlikely to result in significant climate benefits relative to fossil fuel use. Finally, we assess the potential total production of biomass on land other than forests or croplands.

708 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the impacts of renewable and non-renewable energy, real income and trade openness on CO2 emissions in the Environmental Kuznets Curve (EKC) model for the European Union over the period 1980-2012 by employing panel estimation techniques robust to cross-sectional dependence.

679 citations

Journal ArticleDOI
TL;DR: In this paper, the influence of real income, renewable energy consumption, non-renewable energy consumption and trade openness and financial development on CO2 emissions in the EKC model for the top countries listed in the Renewable Energy country Attractiveness Index by employing heterogeneous panel estimation techniques with cross-section dependence.
Abstract: Due to tremendous increase in the level of carbon dioxide (CO2) emissions in the last several decades, a number of studies in the energy-growth-environment literature have attempted to identify the determinants of CO2 emissions. A major criticism related to the existing studies, we realize, is the selection of panel estimation techniques. Almost all studies use panel methods that ignore the issue of cross-sectional dependence even though countries in the panel are most likely heterogeneous and cross-sectionally dependent. In addition, the majority of existing studies use aggregate energy consumption, and thus fail to identify the impacts of energy consumption by sources on the environment. In order to fulfill the mentioned gaps in the literature, this empirical study analyzes the influence of the real income, renewable energy consumption, non-renewable energy consumption, trade openness and financial development on CO2 emissions in the EKC model for the top countries listed in the Renewable Energy Country Attractiveness Index by employing heterogeneous panel estimation techniques with cross-section dependence. We find that the analyzed variables become stationary at their first-differences by using the CADF and the CIPS unit root tests, and the analyzed variables are cointegrated by employing the LM bootstrap cointegration test. By using the FMOLS and the DOLS, we also find that increases in renewable energy consumption, trade openness and financial development decrease carbon emissions while increases in non-renewable energy consumption contribute to the level of emissions, and the EKC hypothesis is supported for the top renewable energy countries.

674 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202355
2022106
2021102
202083
201971
201854