EVALUATING WATER MANAGEMENT POLICY IN SAUDI ARABIA USING A BILEVEL, MULTI-OBJECTIVE, MULTI-FOLLOWER PROGRAMMING APPROACH

Over the past five decades, the Saudi government has adopted many agricultural policies aimed to: achieve self-sufficiency of food, increase the participation of the agricultural sector in the economy, and reduce the consumption of irrigation water. Due to conflicts among government objectives and t...

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Main Author: Alhashim, Jawad
Format: Others
Published: UKnowledge 2019
Subjects:
Online Access:https://uknowledge.uky.edu/agecon_etds/73
https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1080&context=agecon_etds
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spelling ndltd-uky.edu-oai-uknowledge.uky.edu-agecon_etds-10802019-10-16T04:26:39Z EVALUATING WATER MANAGEMENT POLICY IN SAUDI ARABIA USING A BILEVEL, MULTI-OBJECTIVE, MULTI-FOLLOWER PROGRAMMING APPROACH Alhashim, Jawad Over the past five decades, the Saudi government has adopted many agricultural policies aimed to: achieve self-sufficiency of food, increase the participation of the agricultural sector in the economy, and reduce the consumption of irrigation water. Due to conflicts among government objectives and the incompatibility of farmers' objectives with those of some agricultural policies, the government has not been able to fully achieve its objectives. To accomplish its goals the government, or decision maker needs to understand the farmer, or follower, reaction when s/he adopts a new decision. The dissertation aims to build a model that achieves government goals of minimizing the total irrigation water used while improving the total revenue from agricultural production, while incorporating farmers’ objective of maximizing their profit. To do this, linear programming and bi-level multi-objective multi-follower models are developed and applied to six regions of Saudi Arabia, which account for around 70 percent of cropland and consume about 13.131 BCM of irrigation water per year. The result of the linear programming model applied to the Riyadh region shows there is an unobserved factor effect on the farmers’ decisions, including irrigation water demand that comes from the presence of indirect subsidies. On the other hand, the bi-level multi-objective, multi-follower model shows there is the possibility to minimize irrigation water consumption while maintaining current total revenue from crop production through reallocating irrigation water among regions, while applying a variety of crop specific tax and subsidy policies among the regions to alter planting decisions. 2019-01-01T08:00:00Z text application/pdf https://uknowledge.uky.edu/agecon_etds/73 https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1080&context=agecon_etds Theses and Dissertations--Agricultural Economics UKnowledge Bi-level multi-objective multi-follower programming Saudi Government Follower Algorithm Irrigation water Agricultural policies Agricultural and Resource Economics Agricultural Economics
collection NDLTD
format Others
sources NDLTD
topic Bi-level multi-objective multi-follower programming
Saudi Government
Follower
Algorithm
Irrigation water
Agricultural policies
Agricultural and Resource Economics
Agricultural Economics
spellingShingle Bi-level multi-objective multi-follower programming
Saudi Government
Follower
Algorithm
Irrigation water
Agricultural policies
Agricultural and Resource Economics
Agricultural Economics
Alhashim, Jawad
EVALUATING WATER MANAGEMENT POLICY IN SAUDI ARABIA USING A BILEVEL, MULTI-OBJECTIVE, MULTI-FOLLOWER PROGRAMMING APPROACH
description Over the past five decades, the Saudi government has adopted many agricultural policies aimed to: achieve self-sufficiency of food, increase the participation of the agricultural sector in the economy, and reduce the consumption of irrigation water. Due to conflicts among government objectives and the incompatibility of farmers' objectives with those of some agricultural policies, the government has not been able to fully achieve its objectives. To accomplish its goals the government, or decision maker needs to understand the farmer, or follower, reaction when s/he adopts a new decision. The dissertation aims to build a model that achieves government goals of minimizing the total irrigation water used while improving the total revenue from agricultural production, while incorporating farmers’ objective of maximizing their profit. To do this, linear programming and bi-level multi-objective multi-follower models are developed and applied to six regions of Saudi Arabia, which account for around 70 percent of cropland and consume about 13.131 BCM of irrigation water per year. The result of the linear programming model applied to the Riyadh region shows there is an unobserved factor effect on the farmers’ decisions, including irrigation water demand that comes from the presence of indirect subsidies. On the other hand, the bi-level multi-objective, multi-follower model shows there is the possibility to minimize irrigation water consumption while maintaining current total revenue from crop production through reallocating irrigation water among regions, while applying a variety of crop specific tax and subsidy policies among the regions to alter planting decisions.
author Alhashim, Jawad
author_facet Alhashim, Jawad
author_sort Alhashim, Jawad
title EVALUATING WATER MANAGEMENT POLICY IN SAUDI ARABIA USING A BILEVEL, MULTI-OBJECTIVE, MULTI-FOLLOWER PROGRAMMING APPROACH
title_short EVALUATING WATER MANAGEMENT POLICY IN SAUDI ARABIA USING A BILEVEL, MULTI-OBJECTIVE, MULTI-FOLLOWER PROGRAMMING APPROACH
title_full EVALUATING WATER MANAGEMENT POLICY IN SAUDI ARABIA USING A BILEVEL, MULTI-OBJECTIVE, MULTI-FOLLOWER PROGRAMMING APPROACH
title_fullStr EVALUATING WATER MANAGEMENT POLICY IN SAUDI ARABIA USING A BILEVEL, MULTI-OBJECTIVE, MULTI-FOLLOWER PROGRAMMING APPROACH
title_full_unstemmed EVALUATING WATER MANAGEMENT POLICY IN SAUDI ARABIA USING A BILEVEL, MULTI-OBJECTIVE, MULTI-FOLLOWER PROGRAMMING APPROACH
title_sort evaluating water management policy in saudi arabia using a bilevel, multi-objective, multi-follower programming approach
publisher UKnowledge
publishDate 2019
url https://uknowledge.uky.edu/agecon_etds/73
https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1080&context=agecon_etds
work_keys_str_mv AT alhashimjawad evaluatingwatermanagementpolicyinsaudiarabiausingabilevelmultiobjectivemultifollowerprogrammingapproach
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