Policy Targeting to Reduce Economic Damages From Land Subsidence

Abstract

Groundwater pumping contributes significantly to land subsidence, which generates economic costs as changes in the frequency of flooding affect property values. We evaluate these costs by estimating the marginal damages from pumping, which define the corrective policy incentive to address land subsidence externalities. In an application to the southern Chesapeake Bay region of Virginia, we find that land subsidence due to groundwater pumping is greatest in inland rural areas, but that the damages from pumping are greatest in coastal urban areas. Our results suggest that cost‐minimizing groundwater policy is spatially heterogeneous and targets the damages from land subsidence due to pumping in different locations, not simply physical land subsidence itself. These results are driven by differences in the spatial patterns of aquifer characteristics, which determine subsidence, and housing density, which determines the damages from subsidence.

Adaptive, Resilient Urban Underground Space (UUS)-Subsidence and Economic Impact Spatial Planning Model (USEM): The Extent Development Impact via Cause-Effect and Spatiotemporal Analyses Circa 1960-2020-2050 in Shanghai Megacity

“…Factors are selected based on various existing UUS-subsidence-economic impact (USEM) framework: subsidence-economic impact framework [28][29], digital land price model (DLPM) [30], property values [31], UUS evaluation database [31], infrastructure vulnerabilities [22,33] as well as modification and adaptation from the Shanghai Masterplan 2017-2035 (SM 2035) and Sustainable Development Goals (SDGs) 2030. The multi-factors for cause-effect analysis are derived and integrated into the USEM framework [31,33,[34][35][36][37]38]. The framework basically involves (refer Figure 4…”

Adaptive, Resilient Urban Underground Space (UUS)-Subsidence and Economic Impact Spatial Planning Model (USEM): The Extent Development Impact via Cause-Effect Analysis Circa 1980-2050 in Shanghai Megacity

“…The multifactor for cause-effect analysis are derived from the USEM framework [1][2][3][4][5][6][7][8]14,[16][17] and are secondarily synthesised and gathered for study period of 1980-2020-2030 and logical estimations for 2050 projections. The cause-effect analysis is being used to study the relation of multifactor involving causing or critical determinant factors (e.g.…”

Data, knowledge, and modeling challenges for science-informed management of river deltas

“…The relevant linkages between altered delta processes and human livelihoods are manifest in recent research on global land subsidence, its drivers and magnitude 8,68 and its socio-economic consequences 69,70 . Relative sea level rise (rSLR) is the sum of vertical land motion (VLM), with negative motion meaning land subsidence, which is often but not always accelerated by human activities, and sea level rise (SLR) 21,71 .…”