Comparison of Greenhouse Gas (GHG) Emission Abatement Cost of Clean Development Mechanism (CDM) Activities in Four Countries Chile, Peru, Vietnam, and Malaysia

2021 ◽  
Vol 12 (5-2) ◽  
pp. 613-643
Author(s):  
Dong-Woon Noh ◽  
Insung Son ◽  
Jungmin Lim ◽  
Sooin Kim
Keyword(s):  
Greenhouse Gas ◽  
Clean Development Mechanism ◽  
Abatement Cost ◽  
Ghg Emission ◽  
Emission Abatement ◽  
Development Mechanism

scholarly journals COSTS OF GREENHOUSE GAS EMISSIONS ABATEMENT UNDER THE CLEAN DEVELOPMENT MECHANISM

2015 ◽  
Vol 06 (01) ◽  
pp. 1550005 ◽  
Author(s):  
SHAIKH M. RAHMAN ◽  
DONALD F. LARSON ◽  
ARIEL DINAR
Keyword(s):  
Greenhouse Gas ◽  
Clean Development Mechanism ◽  
Economies Of Scale ◽  
Abatement Cost ◽  
Fixed Costs ◽  
Functional Forms ◽  
Greenhouse Gas Abatement ◽  
Project Location ◽  
Project Data ◽  
Development Mechanism

This paper examines the costs of emissions abatement through various types of projects financed under the Clean Development Mechanism (CDM) of the Kyoto Protocol. Using project data, cost functions are estimated applying alternative functional forms. Results show that the average cost of abatement decreases with the volume of abatement, showing economies of scale and suggesting that reducing emissions through small projects is relatively expensive. Results also show significant variation in the costs of abatement by project type and location. Nevertheless, the observed distribution of project investments does not closely match the relative cost structure, either by location or project type. Renewable energy projects accounted for 62% of the projects even though they had the second highest cost. Most of the CDM projects are located in emerging economies, principally China, India, and Brazil, even though the fixed costs of establishing CDM projects in these countries are higher than in many other developing countries. Significantly, while much of the conceptual and applied numerical literature concerning greenhouse gas abatement policies relies on presumptions about the structure of abatement cost curves, these findings suggest that comparative advantage is only one of several factors driving CDM investments and that investors hold additional preferences about project location and project type. Finally, results indicate a general, though noncontinuous, downward trend in the costs of abatement for new CDM projects.

MECANISMO DE DESENVOLVIMENTO LIMPO (MDL) NO ESTADO DO MARANHÃO: POTENCIAL DA MATRIZ ELÉTRICA PARA NEGÓCIOS NO MERCADO DE CARBONO

2020 ◽  
Vol 8 (1) ◽  
pp. 118
Author(s):  
Carlos Alberto Lima Melo Junior ◽  
Teresa Cristina Rodrigues Dos Santos Franco ◽  
Jaiver Efren Jaimes Figueroa
Keyword(s):  
Climate Change ◽  
United Nations ◽  
Clean Development Mechanism ◽  
Wind Farms ◽  
Paris Agreement ◽  
The State ◽  
Ghg Emission ◽  
Carbon Dioxide Equivalent ◽  
Development Mechanism

<p>As Nações Unidas, desde 1972, vêm buscando solucionar o problema da mudança climática no planeta. Mais recentemente, em 2015, durante o “Acordo de Paris”, foram definidos objetivos de longo prazo para limitar as emissões de Gases do Efeito Estufa (GEEs). Para auxiliar os países integrantes da Convenção Quadro das Nações Unidas sobre Mudança do Clima (UNFCCC) no cumprimento dessas metas, foi criado o Mecanismo de Desenvolvimento Limpo (MDL). No trabalho apresentado, utilizou-se a chamada ACM0002, ferramenta do MDL, para estimar as reduções de  emissões de GEEs oportunizados por usinas eólicas que fazem parte da matriz elétrica Maranhense, bem como o potencial ainda a ser explorado com o crecimento da matriz até 2027. O valor estimado dessas reduções de emissões foi de 6,20 milhões de toneladas de dióxido de carbono equivalente. O estudo contribuiu com dados relevantes para o setor energético renovável, bem como para a gestão ambiental regional. Poderá, ainda,  auxiliar na implementação de novos projetos MDL no Estado do Maranhão.</p><p> </p><p><em>CLEAN DEVELOPMENT MECHANISM (CDM) IN THE STATE OF MARANHÃO: POTENTIAL OF THE ELECTRIC MATRIX FOR BUSINESS IN THE CARBON MARKET</em></p><p>ABSTRACT</p><p>As a United Nations since 1972, it has been seeking to solve the problem of climate change on the planet. More recently, in 2015, during the “Paris Agreement”, long-term goals to limit green house gas (GHG) restrictions were considered. To assist the member countries of the United Nations Framework Convention on Climate Change (UNFCCC) without meeting these goals, the Clean Development Mechanism (CDM) was created. In the work presented, the so-called ACM0002, a CDM tool, was used to estimate the GHG emission reductions provided by wind farms that are part of the Maranhense electrical matrix, as well as the potential yet to be explored with the matrix's growth until 2027. The estimated value of these use reductions was 6.20 million tons of carbon dioxide equivalent. The study contributed relevant data for the renewable energy sector as well as for regional environmental management. It also assisted in the implementation of new CDM projects in the state of Maranhão.</p><p> </p>

Applying Remotely Sensed Data to Reduction of Greenhouse Gas Emission and Clean Development Mechanism (CDM)

2014 ◽  
Vol 1010-1012 ◽  
pp. 1258-1261
Author(s):  
Lu Zhang ◽  
Run He Shi ◽  
Jing Wang
Keyword(s):  
Developing Countries ◽  
Greenhouse Gas ◽  
Kyoto Protocol ◽  
Clean Development Mechanism ◽  
High Speed ◽  
Greenhouse Gas Emission ◽  
Remotely Sensed ◽  
Remotely Sensed Data ◽  
Gas Emission ◽  
Development Mechanism

"Kyoto Protocol" came into force on the February 16th, 2005. It introduced rules on the responsibilities of reducing greenhouse gas emission so as to alleviate and deal with problems caused by climate change. Among the three fulfillment mechanisms in "Kyoto Protocol", the Clean Development Mechanism (CDM) is the only one related to developing countries. As one of the most important developing countries in the world, it is urgent for China to make rational use of the CDM to support its high-speed economic development. At this point, nation-scale carbon related data are critical. This paper introduced the acquisition of soil, vegetation and land use/land cover data at a large scale using remotely sensed data and the simulation of carbon sink/source by means of ecosystem models. Remotely sensed data play an important role in the extraction of qualitative and quantitative information for CDM related researches and activities.

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