Header image

Terceira-G18-R Climate Adaptive and Resilient Regions and Cities

Tracks
Ordinary/Refereed
Friday, August 30, 2024
14:30 - 16:15
S05

Details

Chair: David Castells-quintana


Speaker

Agenda Item Image
Prof. Aliza Fleischer
Full Professor
Hebrew University of Jerusalem

Accounting for recreational freshwater ecosystem services: The case of Israel’s water economy

Author(s) - Presenters are indicated with (p)

Aliza Fleischer (p), Yacov Tsur, Yadin Gindin

Discussant for this paper

David Castells-quintana

Abstract

We study the impact of freshwater ecosystem services (FESS) on water allocation policies within a comprehensive water economy model. The FESS generated by flows and stocks are distinguished and their effects on water allocation and pricing are analyzed. The inverse demand for recreational FESS in Israel is estimated based on household visitation data and freshwater flow and stock information. The estimated willingness to pay per unit of water is incorporated into a reduced form of Israel's water economy model. The results of numerical simulations indicate that changes in the demand for FESS have significant effects on optimal water diversion decisions from all freshwater sources. For instance, a 20 % increase in the demand for recreational ESS generated by stream flows leads to a 24 % reduction in water diversion from this source, a 13 % increase in water diversion from Lake Kineret, and a 29 % increase in diversion (extraction) from groundwater aquifers. These findings emphasize the importance of incorporating FESS within economywide water allocation policies.
Agenda Item Image
Dr. David Castells-quintana
Associate Professor
Universidad Autónoma de Barcelona

The geography of energy transitions: a network approach for post-Fukushima Japan

Author(s) - Presenters are indicated with (p)

David Castells-quintana (p), Felipe Santos-Marquez, Alvaro Domínguez

Discussant for this paper

Aliza Fleischer

Abstract

Given the increasing threat of climate change, energy transitions from traditional sources to greener and renewable ones has become a major need and goal worldwide. However, energy transitions are costly and
usually slow. In this paper, we empirically study the adoption and spatial spread of energy transitions from nuclear to wind triggered by the Fukushima incident in Japan in 2011. We build a novel panel dataset for 1741 municipalities combining detailed gridded data on the location of wind farms and nuclear plants, merged with data on lights, population, vegetation greenness, and pollution, from 2001 to 2020. Using panel-data econometric techniques, we explore the connection between the proximity to nuclear power plants and the adoption of Wind Energy Technology (WET). We then rely on a network diffusion model to analyze the direction, speed, and order in which municipalities adopted WET. Finally, we perform a counterfactual analysis by targeting key spreaders to alter the diffusion process, allowing us to propose policies to overcome ”bottlenecks” in the network.
loading