China’s Nationally Determined Contributions (NDC) aim to reach peak CO2 emissions in 2030, reduce the emission intensity of its economy (CO2 emissions per unit of GDP) by 60 to 65% compared to 2005-levels, and increase the share of non-fossil fuels in primary energy consumption to around 20% in the same time frame. On its path towards these goals, China needs ambitious action from provinces like Jiangsu, which is fast-becoming a role model in driving low carbon development forward by aspiring to reach its carbon peak 5-10 years earlier.
The project supports its Chinese partners in enabling the transformation towards a low carbon economy, which is in line with the 2030 Agenda for Sustainable Development and advances the goals of the 13th / 14th Five-Year Plan (FYP) (2016-2020 / 2021-2025) of Jiangsu province, as well as the early peaking of its CO2 emissions. At the local level, activities will build on lessons learned during the previous project phases I and II. Supported by the provincial government, a sustainable network that persists beyond the duration of the project will be established and facilitate a long-term exchange between German and Chinese actors from industry, academia, and politics, as well as enhance the discourse on a coal phase-out. The project and the network will strengthen sustainable capacity development through the introduction of methodological knowledge on how to build and manage knowledge networks and how to ensure financing. Furthermore, necessary technical expertise will be provided to stakeholders. Results, best practices, and proven impacts will contribute to the national and international dialogue on climate change.
On December 23, 2022, the Disaster Risk and Insurance Academic Lecture of Nankai University and the Disaster Reduction Lecture of Beijing Normal University jointly organized the first virtual academic workshop on the topic ‘Addressing Climate Change and Carbon Transition Risk.’
On November 21, 2022, GIZ Jiangsu Project held the second series forum on Low Carbon Networking in Nanjing.