Economic inclusion and quality of life: Assessing the impact of integrating people with disabilities into Saudi Arabia's labor market.
Disability hiring quotas boost GDP most in jobs that are hard to automate or swap out.
01Research in Context
What this study did
Ahmed et al. (2025) ran computer models of Saudi Arabia's economy. They tested what happens when firms must hire more people with disabilities.
The models looked at two kinds of firms. Some can easily swap workers around. Others need specific people with special skills.
What they found
When firms cannot easily replace workers, hiring quotas boost the whole country's money and jobs. The gains shrink when firms can swap staff freely.
This means disability hiring works best in jobs that need unique skills. Think data entry that needs exact steps, not simple tasks anyone can do.
How this fits with other research
Iwanaga et al. (2025) tracked real young adults with IDD. Their large data set shows Supported Employment plus job placement help lands competitive jobs. The computer model and the real-world data both say inclusion pays off.
Green et al. (1987) found each dollar in supported employment returns about $1.90. Irfan's model now scales this up, showing whole-country gains when labor substitution is low.
Wehman et al. (2014) showed 23,298 transition-age youth with IDD gained competitive work through supported employment. This real-world success feeds the assumption in Irfan's model that people with disabilities can be productive workers.
Why it matters
You can use these findings to pick job targets. Push for placements in roles that need specific, hard-to-replace skills. Pair that with the tactics from Kanako and Paul: add placement help, search help, and follow-up support. You get both personal success and bigger economic gains.
Want CEUs on This Topic?
The ABA Clubhouse has 60+ free CEUs — live every Wednesday. Ethics, supervision & clinical topics.
Join Free →Pitch a data-entry or quality-check job that needs exact steps—hard for firms to replace.
02At a glance
03Original abstract
The objective of this study is to examine the macroeconomic effects of disability-inclusive labor regulations in Saudi Arabia. A dynamic Computable General Equilibrium (CGE) model is calibrated to a commodity-disaggregated Social Accounting Matrix (SAM). The study simulates two policy scenarios: a general employment quota and a service-sector-specific quota for persons with disabilities (PWDs). Each scenario is evaluated under different elasticity of substitution parameters (σ = 0.8, 1.0, 1.5) to capture the sensitivity of the economy to production flexibility. The findings indicate that both regulatory policies produce positive macroeconomic impacts, particularly in scenarios of low substitution elasticity, reflecting limited capacity of firms to replace PWD labor with alternative inputs. Under such conditions, increased PWD employment enhances real GDP, amplifies household consumption, stimulates investment, and yields GDP multipliers exceeding 2.0. Nevertheless, when production flexibility rises (σ = 1.5), the beneficial economic impacts diminish, resulting in GDP multipliers falling below 1.0, indicating less responsiveness and constrained supplementary employment or investment. The study highlights the importance of labor market structure in determining the effectiveness of inclusive employment policies. In less flexible production systems, disability inclusion fosters robust and sustainable economic benefits. In contrast, adaptable systems may necessitate supplementary measures to sustain the progress of labor inclusion and its impact on economic inclusion and quality of life.
Research in developmental disabilities, 2025 · doi:10.1016/j.ridd.2025.105153