<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Liu, Hongxing</style></author><author><style face="normal" font="default" size="100%">Zhang, Wendong</style></author><author><style face="normal" font="default" size="100%">Irwin, Elena</style></author><author><style face="normal" font="default" size="100%">Kast, Jeffrey</style></author><author><style face="normal" font="default" size="100%">Aloysius, Noel</style></author><author><style face="normal" font="default" size="100%">Martin, Jay</style></author><author><style face="normal" font="default" size="100%">Kalcic, Margaret</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Best Management Practices and Nutrient Reduction: An Integrated Economic-Hydrologic Model of the Western Lake Erie Basin</style></title><secondary-title><style face="normal" font="default" size="100%">Land Economics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020-11-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">510-530</style></pages><doi><style  face="normal" font="default" size="100%">10.3368/wple.96.4.510</style></doi><volume><style face="normal" font="default" size="100%">96</style></volume><issue><style face="normal" font="default" size="100%">4</style></issue><abstract><style  face="normal" font="default" size="100%">We develop the first spatially integrated economic-hydrologic model of the western Lake Erie basin explicitly linking economic models of farmers’ field-level best management practice (BMP) adoption choices with the Soil and Water Assessment Tool to evaluate nutrient management policy cost-effectiveness. We quantify trade-offs among phosphorus reduction policies and find that a hybrid policy coupling a fertilizer tax with cost-share payments for subsurface placement is the most cost-effective and can achieve the policy goal of 40% reduction in nutrient loadings. We also find economic adoption models alone can overstate the potential for BMPs to reduce nutrient loadings by ignoring biophysical complexities. (JEL Q18, Q53)</style></abstract></record></records></xml>