Entrepreneurship-based Optimal Inter-sectorial Allocation of Water Resources in Megacity-dominated Area
Location
Eccles Conference Center
Event Website
http://water.usu.edu
Start Date
4-1-2014 7:00 PM
End Date
4-1-2014 7:05 PM
Description
Unemployment is a significant problem in numerous megacities. Because new entrepreneurship and development requires water resources, addressing unemployment is particularly challenging in arid regions suffering from water shortage. For such regions, water allocation among user sectors can benefit from entrepreneurship-based optimization. This research, presents a novel optimization model for maximizing the numbers of jobs produced for the main economic sectors. The objective function includes a nonlinear job-production function for agriculture, a nonlinear job-production function for industry, and a linear job-production function for service. Reallocation is optimized for three employment-change scenarios: limited change, acceptable change and unlimited change. Scenario results show that total jobs can be increased 1.84, 7.27 and 12.94 times current employment, respectively. Implementing the optimal allocations will increase scenario net benefits as much as 1.33, 1.89 and 15.17 times, respectively. Assuming other social and economic impacts can be acceptable, results argue for the benefit of allowing unlimited change in megacity-dominated arid zone reallocation.
Entrepreneurship-based Optimal Inter-sectorial Allocation of Water Resources in Megacity-dominated Area
Eccles Conference Center
Unemployment is a significant problem in numerous megacities. Because new entrepreneurship and development requires water resources, addressing unemployment is particularly challenging in arid regions suffering from water shortage. For such regions, water allocation among user sectors can benefit from entrepreneurship-based optimization. This research, presents a novel optimization model for maximizing the numbers of jobs produced for the main economic sectors. The objective function includes a nonlinear job-production function for agriculture, a nonlinear job-production function for industry, and a linear job-production function for service. Reallocation is optimized for three employment-change scenarios: limited change, acceptable change and unlimited change. Scenario results show that total jobs can be increased 1.84, 7.27 and 12.94 times current employment, respectively. Implementing the optimal allocations will increase scenario net benefits as much as 1.33, 1.89 and 15.17 times, respectively. Assuming other social and economic impacts can be acceptable, results argue for the benefit of allowing unlimited change in megacity-dominated arid zone reallocation.
https://digitalcommons.usu.edu/runoff/2014/2014Posters/2