Predicted Impacts of Selected Variables

In a complex structural model, such as estimated in this study, a change in a particular causal factor may have impacts on outcomes of interest through many different channels, given the many intervening response variables that may be affected. For example, improvements in education may affect agricultural productivity and land degradation directly by affecting farmers’ awareness or ability to use technologies that affect these outcomes. But it may also influence these outcomes indirectly by affecting. Such indirect effects must be accounted for if we are to understand the full effect of causal factors on agricultural production and land degradation

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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