Race to the Bottom (of the Well): Groundwater in an Agricultural Production Treadmill

Author:

Sanderson Matthew R1,Hughes Vivian2

Affiliation:

1. Kansas State University

2. Florida State University

Abstract

Abstract Groundwater from the Ogallala-High Plains Aquifer supports one of the most productive agriculture regions in the world. Yet, despite nearly 40 years of policies designed to conserve and sustain this vital resource, the Aquifer continues to be depleted at an unsustainable rate. We integrate propositions from treadmill of production theory and ecological modernization theory to develop a structural model, focusing especially on the role of technological modernization as a key mechanism motivating depletion. A time-sequenced path analysis of all counties in the Ogallala Aquifer region reveals that groundwater depletion has a strong internal momentum characteristic of an agricultural production treadmill. Technological modernization promotes depletion through Jevon’s Paradox. Increases in water efficiency—more crop per drop—are associated with less groundwater consumption, but more extensive deployments of irrigation infrastructures overwhelm the beneficial effects of increased water efficiency. An income-subsidy mechanism supports the treadmill dynamic. Agricultural production and increased water efficiency do not influence incomes. Instead, incomes are influenced mainly by expansions of irrigation technologies, which generates subsidies, and this dynamic puts further “spin” on the treadmill. The implications of the findings for theory and policy are discussed.

Funder

National Science Foundation

Department of Agriculture

Publisher

Oxford University Press (OUP)

Subject

Sociology and Political Science

Reference96 articles.

1. “Quality of Life on the Agricultural Treadmill: Individual and Community Determinants of Farm Family Well-Being.”;Arbuckle;Journal of Rural Social Sciences,2012

2. “The Future of Agriculture over the Ogallala Aquifer: Solutions to Grow Crops More Efficiently with Limited Water.”;Basso;Earth’s Future,2013

3. Structural Equations with Latent Variables

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