Beta This website is in development — content and design are still changing
IAMC

Publication

Endogenous Economic Structure, Climate Change, and the Optimal Abatement Path by Hua Liao, Huiying Ye

Professors Hua Liao and Huiying Ye from Beijing Institute of technology (CEEP-BIT) published the paper “Endogenous Economic Structure, Climate Change, and the Optimal Abatement Path” sharing focuses on the development of CCEDS (Coupled Climate and Economic Dynamics Model with Endogenous Structure) to determine long-term climate policy, which incorporates the economic

Professors Hua Liao and Huiying Ye from Beijing Institute of technology (CEEP-BIT) published the paper “Endogenous Economic Structure, Climate Change, and the Optimal Abatement Path” sharing focuses on the development of CCEDS (Coupled Climate and Economic Dynamics Model with Endogenous Structure) to determine long-term climate policy, which incorporates the economic structure into Nordhaus’s standard DICE model.

Abstract: “Economic structure determines climate change through striking different carbon emissions across sectors, while climate change impacts economic structure by the various level of sectoral damage. Therefore, it is essential to uncover and understand this inherent dynamic mutual feedback within IAM. CCEDS (Coupled Climate and Economic Dynamics model with Endogenous Structure) endogenizes economic structure in Nordhaus’s standard DICE model. Two basic macroeconomic sectors that vary in carbon intensity and suffer different damage from climate change are incorporated: one producing consumer goods, and another producing capital goods. Results show that mitigation efforts can become more effective for the economy as economic structure evolves and evokes future investment response, which will be determined not only by the normal intertemporal trade-off between present-day and future consumption, but also by another trade-off between high and low carbon-intensive goods.

Read full article

More publications

A harmonised dataset for Earth system foundation models

Foundation models for Earth systems have so far been trained primarily on physical climate and weather data, with limited representation of the human systems that both drive and respond to environmental change. The lack of a unified global training resource that combines climate, land, ocean, cryosphere, infrastructure, hazards, and socioeconomic