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Simulation Dataset of the Governance Effects of Global Low Carbon Technology Financing under the Carbon Neutrality Constraints


GU Gaoxiang1
1 Population Research Institute,East China Normal University,Shanghai 200241,China

DOI:10.3974/geodb.2023.05.10.V1

Published:May 2023

Visitors:2577       Data Files Downloaded:42      
Data Downloaded:3.38 MB      Citations:

Key Words:

low carbon technology financing,carbon neutrality,integrated assessment model,technology sharing,carbon governance

Abstract:

In order to investigate the governance effects of global low carbon technology financing under the carbon neutrality constraints, the authors developed the CIECIA-TD-F model (climatic-economic-technological integrated assessment model) to comprehensively assessed the carbon governance effects of global low carbon technology financing on technological innovation promotion, climate change mitigation and economic adoption to the carbon neutrality pathways, the dataset created by the CIECIA-TD-F mode was developed covering 10 countries/regions and 12 sectors, including: (1) NDCs-carbon neutrality pathways of countries; (2) global low carbon technology financial collections and dispensations of countries in the global low carbon technology financing scenarios; (3) global warming in 2100 from the pre-industrial level for the baseline, the NDCs-carbon neutrality, the global low carbon technology financing and the policy mix scenarios; (4) changes of standard energy intensities for the countries in 2100 compared to the baseline for the global low carbon technology financing and the policy mix scenarios; (5) changes in cumulative utilities for the countries in 2100 compared to the baseline for the NDCs-carbon neutrality, the global low carbon technology financing and the policy mix scenarios; (6) average numbers of low carbon technology transfer to countries for the policy mix scenarios. The dataset is archived in .xlsx format, and consists of one data file with 82.3 KB. The analysis paper based on this dataset has been published in Geographical Research, Vol.42, No.3, 2023.

Foundation Item:

National Social Science Fund of China (21BGJ076)

Data Citation:

GU Gaoxiang. Simulation Dataset of the Governance Effects of Global Low Carbon Technology Financing under the Carbon Neutrality Constraints[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.05.10.V1.

References:

[1] UNFCCC. Copenhagen Accord [R]. Proposal by the President, Copenhagen, Denmark: United Nations, 2009: 3.
     [2] UNFCCC. Adoption of the Paris Agreement [R]. Proposal by the President. Geneva, Switzerland: United Nations Office, 2015.
     [3] Riahi, K., van Vuuren, D. P., Kriegler, E., et al. The shared socioeconomic pathways and their energy, land use, and greenhouse gas emissions implications: An overview [J]. Global Environmental Change, 2017, 42: 153-168. DOI: 10.1016/j.gloenvcha.2016.05.009.
     [4] Cui, L., Huang, Y. Exploring the schemes for green climate fund financing: International lessons [J]. World Development, 2018, 101: 173-187. DOI: 10.1016/j.worlddev.2017.08.009.
     [5] Gu, G. X., Wu, J. Study on the impacts of achieving carbon neutral targets on global economy and China's participation in international industrial division under global economic integration [J]. Environmental Protection, 2021, 49(Z2): 49-56. DOI: 10.14026/j.cnki.0253-9705.2021.z2.011.
     [6] Gu, G., Zhang, W., Cheng, C. Mitigation effects of global low carbon technology financing and its technological and economic impacts in the context of climate cooperation [J]. Journal of Cleaner Production, 2022, 381: 135182. DOI: 10.1016/j.jclepro.2022.135182.
     

Data Product:

ID Data Name Data Size Operation
1 GovtEffectsLowCarbonTechFinancing.xlsx 82.31KB
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