scholarly journals Economic Impacts of Adoption of Best Management Practices by Crawfish Producers: The Role of the Environmental Quality Incentives Program

2012 ◽  
Vol 41 (2) ◽  
pp. 247-259 ◽  
Author(s):  
Narayan P. Nyaupane ◽  
Jeffrey M. Gillespie ◽  
Krishna P. Paudel

This study investigates reasons for adoption of best management practices (BMP), crawfish farmers' participation in the Environmental Quality Incentives Program (EQIP), and economic impacts of BMP adoption using data from a 2008 survey of crawfish producers. Most-cited reasons for BMP adoption are farmers' perceptions of increases in profit and long-run productivity. Land tenancy, education, double-cropping or crop rotation, and proximity to a stream influence EQIP participation. Perceptions of economic profits depend on the practices used. Participation in EQIP negatively impacts farmers' perceptions of profitability from adopting BMPs. The results underscore the importance of economic incentives in promoting BMP adoption.

2006 ◽  
Vol 36 (7) ◽  
pp. 1674-1683 ◽  
Author(s):  
Changyou Sun

State forestry best management practice (BMP) programs have been widely developed and implemented to prevent nonpoint source water pollution in the past three decades. The unanswered question is how forestry BMPs have affected the welfare positions of consumers, mills, loggers, and forest landowners. A Muth-type equilibrium displacement model was constructed to examine welfare changes of these stakeholders. The model considered a two-stage vertical production system with variable proportion production technology and imperfect market structure. Industrial mills experienced little welfare loss from forestry BMP regulation. Consumers had the largest absolute welfare loss, and loggers had the largest relative welfare loss in the base scenario. The supply elasticity of harvesting services had the greatest impact on the relative incidence of welfare losses between landowners and loggers, and in the long run their welfare losses were comparable. These results may help to improve future state forestry BMP guidelines and design incentive systems for increasing implementation rates.


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