An Assessment of Indonesia’s Intended Nationally Determined Contributions

2017 ◽  
pp. 125-142 ◽  
Author(s):  
Shinichiro Fujimori ◽  
Ucok W. R. Siagian ◽  
Tomoko Hasegawa ◽  
Bintang B. Yuwono ◽  
Rizaldi Boer ◽  
...  
Keyword(s):  
Nationally Determined Contributions

scholarly journals Climate Change: Reversing the Past and Advancing the Future

AJIL Unbound ◽  
2021 ◽  
Vol 115 ◽  
pp. 80-85
Author(s):  
Daniel Bodansky
Keyword(s):  
Climate Change ◽  
Climate Change Policy ◽  
The United States ◽  
Paris Agreement ◽  
Montreal Protocol ◽  
Global Institutions ◽  
Change Policy ◽  
Global Action ◽  
Nationally Determined Contributions ◽  
Executive Action

After four years of not simply inaction but significant retrogression in U.S. climate change policy, the Biden administration has its work cut out. As a start, it needs to undo what Trump did. The Biden administration took a step in that direction on Day 1 by rejoining the Paris Agreement. But simply restoring the pre-Trump status quo ante is not enough. The United States also needs to push for more ambitious global action. In part, this will require strengthening parties’ nationally determined contributions (NDCs) under the Paris Agreement; but it will also require actions by what Sue Biniaz, the former State Department climate change lawyer, likes to call the Greater Metropolitan Paris Agreement—that is, the array of other international actors that help advance the Paris Agreement's goals, including global institutions such as the International Maritime Organization (IMO), the Montreal Protocol, and the World Bank, as well as regional organizations and non-state actors. Although the Biden administration can pursue some of these international initiatives directly through executive action, new regulatory initiatives will face an uncertain fate in the Supreme Court. So how much the Biden Administration is able to achieve will likely depend significantly on how much a nearly evenly-divided Congress is willing to support.

scholarly journals Evolution of the Global Climate Governance System and Its Implications

2015 ◽  
Vol 01 (03) ◽  
pp. 423-446
Author(s):  
Hongyuan Yu
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Developmental Trend ◽  
Governance System ◽  
Early 21St Century ◽  
Security Challenges ◽  
New Energy ◽  
Nationally Determined Contributions ◽  
Two Sides ◽  
The Eu

Climate change has emerged as one of the top security challenges in the early 21st century. It is now widely acknowledged that international cooperation and collective action will be the key to addressing challenges caused by climate change. This article will give an explanation on the evolution of the global climate change governance system by linking history, governance, and diplomacy. The challenge of climate change involves not only international competition for new energy but also related adjustments in the global governance pattern. Specifically, the carbon emission reduction to be discussed at the 2015 UN Paris Climate Conference will still be problematic, and negotiations with regard to financing mechanisms between developed and developing countries will remain in doubt. Furthermore, the attitudes of the two sides toward common but differentiated responsibilities (CBDR) and the intended nationally determined contributions (INDCs) are disparate. In addition, negotiations among China, the UN, the U.S., and the EU are decisive in tackling this tricky matter. Finally, this article outlines some potential diplomatic options for China's future developmental trend.

EXPLORING FAIR AND AMBITIOUS MITIGATION CONTRIBUTIONS OF ASIAN ECONOMIES FOR THE GLOBAL WARMING LIMIT UNDER THE PARIS AGREEMENT

2021 ◽  
Author(s):  
XINRU LI ◽  
XUEMEI JIANG ◽  
YAN XIA
Keyword(s):  
Developing Economies ◽  
Paris Agreement ◽  
Low Carbon ◽  
Developed Economies ◽  
Asian Economies ◽  
Zero Carbon ◽  
Nationally Determined Contributions ◽  
Emission Quotas ◽  
Per Capita ◽  
The Ideal

Focusing on the mitigation responsibilities and efforts, this paper provides a unified estimation of allowable emission quotas for a number of Asian economies to limit the global temperature rise well below 2°C based on a range of effort-sharing approaches. The study also explores the inconsistency between their planned emission pathways under the Nationally Determined Contributions (NDCs) and the allowable emissions to achieve the 2°C target. The results show that most of the Asian developing economies would be in favor of the Equal-Per-Capita and Grandfather criteria, for which they would obtain more allowable emissions quota. However, even with the most favorable criterion, official mitigation pledges represented by NDCs are far less enough for these developing Asian economies such as China, India, Vietnam, Thailand and Pakistan, as their emission pathways under NDCs significantly exceed the ideal pathways under all effort-sharing approaches. In contrast, most of the Asian developed economies have already planned reductions of annual CO2 emissions under NDCs, in line with their ideal pathways under the most favorable effort-sharing approach. However, their reductions of emissions require deep strengthening of deployment in low-carbon, zero-carbon and negative-carbon techniques, given the current growing trend of emissions for these economies.

scholarly journals Tackling the Risk of Stranded Electricity Assets with Machine Learning and Artificial Intelligence

2021 ◽  
Author(s):  
Joseph Nyangon
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Carbon Budget ◽  
Energy Sector ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Legal Challenges ◽  
Nationally Determined Contributions ◽  
Implementation Level

The Paris Agreement on climate change requires nations to keep the global temperature within the 2°C carbon budget. Achieving this temperature target means stranding more than 80% of all proven fossil energy reserves as well as resulting in investments in such resources becoming stranded assets. At the implementation level, governments are experiencing technical, economic, and legal challenges in transitioning their economies to meet the 2°C temperature commitment through the nationally determined contributions (NDCs), let alone striving for the 1.5°C carbon budget, which translates into greenhouse gas emissions (GHG) gap. This chapter focuses on tackling the risks of stranded electricity assets using machine learning and artificial intelligence technologies. Stranded assets are not new in the energy sector; the physical impacts of climate change and the transition to a low-carbon economy have generally rendered redundant or obsolete electricity generation and storage assets. Low-carbon electricity systems, which come in variable and controllable forms, are essential to mitigating climate change. These systems present distinct opportunities for machine learning and artificial intelligence-powered techniques. This chapter considers the background to these issues. It discusses the asset stranding discourse and its implications to the energy sector and related infrastructure. The chapter concludes by outlining an interdisciplinary research agenda for mitigating the risks of stranded assets in electricity investments.

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