Climate Change Policies and the Potential for Energy Efficiency in the Gulf Cooperation Council (GCC) Economy
Bibliographic record
Abstract
Climate change is a problem that many municipalities in the world are facing today. Due to the fragile ecosystem, and harsh climates that are experienced by the Gulf Cooperation Council (GCC) countries, the region has become vulnerable to a wide variety of ecosystem and climate change issues. Aside from the climate affecting the area severely, its dependence on hydrocarbons, also makes it vulnerable to climate changes. There are climate change policies adopted by the GCC region for prosperous future and sustainability. These include, policies to affect impacts of energy and carbon intensities, response measures being adopted for climate change, the mitigation potentials of the region, along with the suitability of the markets to harness potentials. This analysis focuses on utilizing Marginal Abatement Cost curves, along with econometric techniques that will assess the emissions of Green House Gases (GHGs), the potential for mitigation in the GCC region, and computable general equilibriums that invest the impacts of measures, exploring suitability of instruments that can help to harness the potential mitigation measures for the region. Main policy insights that can be concluded based on the analysis is the role that incentives play to help promote energy efficient mechanics, while reducing emissions of carbon emissions within the region, contributions made to climate policies for air quality, along with the roles that green tax reforms play to help improve the economics of welfare, while pursuing carbon policies for the domestic areas in the region. Globally, there are a lot of energy efficiency policies. The GCC has been witnessing a phenomenal amount of growth when it comes to meeting the needs of domestic households. The region is facing extreme demographic pressure, and as a result has decided to accelerate energy intensive drives. The requirements that the GCC has to meet is causing trade-offs and challenging implications regarding allocation and development of hydrocarbon resources to adhere to domestic and export demands. In conclusion, four issues that have arisen within the GCC in relations to climate change policies have been addressed in this paper. These issues include the rising amounts of energy and carbon intensities, the impacts that the response measures that are being implemented by developed countries have on developing countries, as well as the mitigation potentials that exist within the region, as a method to harness the potentials that are available. Energy efficiency is believed to be a primary candidate to deal with the challenges the GCC is facing. Detailed assessments regarding energy efficiency for the GCC economies is addressed, along with how these intensities relate to outside world economies. This analysis focuses on utilizing Marginal Abatement Cost curves, along with econometric techniques that will assess the emissions of Green House Gases, the potential for mitigation in the GCC region, and Computable General Equilibriums that invest the impacts of measures, exploring suitability of instruments that can help to harness the potential mitigation measures for the region. Main policy insights that can be concluded based on the analysis is the roles that incentives play to help promote energy efficient mechanics, while reducing emissions of carbon emissions within the region, contributions made to climate policies for air quality, along with the roles that green tax reforms play to help improve the economics of welfare, while pursuing carbon policies for the domestic areas in the region. Globally, there are a lot of energy efficiency policies and measures that are being taken. The GCC, which is an acronym for Gulf Cooperative Council, has been witnessing a phenomenal amount of growth when it comes to meeting the needs of domestic households. The region is facing extreme demographic pressure, and as a result have decided to accelerate energy intensive drives. The requirements that the GCC has to meet is causing trade-offs and challenging implications regarding allocation and development of hydrocarbon resources to adhere to domestic and export demands. Energy efficiency is believed to be a primary candidate to deal with the challenges the GCC is facing. Detailed assessments regarding energy efficiency for the GCC economies is addressed, along with how these intensities relate to outside world economies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".