A Tiered Framework for Classifying and Measuring Water-Dependent Economic Activity: Evidence from the Greater Everglades

Abstract

This study develops a reproducible, place-adaptable classification of industries dependent on water security and implements an input-output approach to measure their regional economic significance. We apply this framework to the Greater Everglades region in South Florida, a 16-county area where historic ecosystem alteration and ongoing restoration efforts make water management central to regional prosperity. Our classification combines literature-based and input-output data-driven to identify waterdependent industries, the Clean Water Economy. Results show the Clean Water Economy accounts for approximately 27% of total output, 26% of value added, and 20% of employee compensation in the region. This framework provides an economic baseline for tracking water-economy trends, recognizing stakeholders beyond traditional water users, and guiding investment decisions in regional water management.

Keywords: water security, input-output analysis, water dependent economy, Greater Everglades