Reconciling Carbon Pricing and Energy Policies in Developing Countries

10.1596/33490 ◽  
2020 ◽  
Author(s):  
Christophe De Gouvello ◽  
Dominique Finon ◽  
Pierre Guigon
10.1596/31717 ◽  
2019 ◽  
Author(s):  
Andualem Telaye ◽  
Pablo Benitez ◽  
Seneshaw Tamru ◽  
Haileselassie Medhin ◽  
Michael Toman

Author(s):  
Ali Asghar Pourezzat ◽  
Ali Asghar Sadabadi ◽  
Mohammad Koohi Khor ◽  
Narges Salehi Shahrabi ◽  
Alireza Aslani ◽  
...  

2020 ◽  
Vol 12 (18) ◽  
pp. 7621
Author(s):  
Shuanghui Bao ◽  
Osamu Nishiura ◽  
Shinichiro Fujimori ◽  
Ken Oshiro ◽  
Runsen Zhang

Asian countries are major contributors to global air pollution and greenhouse gas emissions, with transportation demand and emissions expected to increase. However, few studies have been performed to evaluate policies that could reduce transport-related emissions in the region. This study explores transport-related CO2 and air pollutant emissions in major Asian nations along with the impacts of transport, climate, and emission control policies using the Asia-Pacific Integrated Model (AIM)/Transport model. Our results show that by 2050, CO2 emissions in developing countries will be 1.4–4.7-fold greater than the levels in 2005, while most air pollutant emissions will show large reductions (mean annual reduction rates of 0.2% to 6.1%). Notably, implementation of transport, emission control, and carbon pricing policies would reduce CO2 emissions by up to 33% and other air pollutants by 43% to 72%, depending on the emission species. An emission control policy represents the strongest approach for short-term and mid-term reduction of air pollutants. A carbon pricing policy would lead to a direct reduction in CO2 emissions; more importantly, air pollutant emissions would also be effectively reduced. Shifting to public transportation in developing countries can also greatly influence emissions reductions. An increase in traffic speed shows relatively small effects, but can be meaningful in Japan.


2017 ◽  
Vol 28 (5-6) ◽  
pp. 639-647
Author(s):  
Andjela Lazarević

Unlike developing countries, advanced economies combine top-down and bottom-up approach for strategic planning and consider energy policy in the wider scope of spatial planning. In order to better align planning policies in different sectors, the authorities have transferred decision making from the central government to the local communities. This paper provides a brief overview of the London’s strategic spatial and energy policies, examining how they fit within more general visions and objectives. Past and future approaches to the spatial and energy planning were also analysed, with respect to the legal documents that supported actions of different government levels. This paper presents decentralised energy planning and supply in London, highlighting the significance of experience and lessons learned in the development of decentralised energy options for developing countries, willing to engage their resources to contribute to a low carbon economy in accordance with their financial and other possibilities.


Author(s):  
Ali Ghofrani ◽  
Esmat Zaidan ◽  
Mohsen Jafari

AbstractWithout major structural changes, social sciences can potentially bolster economic diversification and strategic planning efforts in developing countries. This article presents an analysis of a set of human-oriented dimensions to enhance energy policies associated with the building sector in developing countries with similarities to the Gulf Cooperation Council union (GCC). A clear understanding of human dimensions in the GCC union’s energy policy is crucial due to social complexities and large numbers of expatriate communities and migrant workers with unknown cultural, behavioral, and financial diversities with respect to local communities. This study evaluates the correlations of demographic, socioeconomic, and behavioral dimensions with human–building interactions to identify the main contributors that create discrepancies in human habits, well-being, motivations, responsibilities, and energy use based on a sample of 2200 respondents in Qatar. Moreover, this study is extended to explore human indoor comfort perception dependencies with building features. Behavioral associations with financial drivers, including energy subsidies and demand response programs, are investigated. The patterns in the data are analyzed and attributed to applications in energy policy concerning awareness, social well-being, and interventions. The sample is clustered into various consumer classes, and a feature importance analysis is conducted via machine learning methods to find the key contributors to consumer behavior. The outcomes show profound insight into how human factors influence consumption, consequence awareness, self-responsibility, habits, norms, and comfort perception in residential and work environments. The findings of this study can assist decision-makers in creating targeted strategies to enhance the efficacy of energy policies and improve sustainability performance indicators.


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