A recent economic study has revealed that the job market conditions in Morocco's territorial communities are not solely influenced by administrative boundaries. Instead, factors such as unemployment rates, employment opportunities, and economic activity are significantly affected by circumstances in neighboring communities. The analysis led to the classification of communities into five functional groups, each varying in terms of economic activity strength, job provision capacity, educational levels, and the presence of public institutions.
This study, published in the journal Networks and Spatial Economics, utilized official data from the High Commission for Planning, particularly the General Population and Housing Census of 2024 and the National Map of Economic Institutions for 2023 and 2024. The research relied on detailed community-level data and compared various communities based on indicators such as business density, the proportion of industrial and service activities, the number of stable jobs, labor absorption capacity, basic education levels, and the presence of public institutions and administrations.
Five Functional Groups of Communities
The analysis categorized communities into five distinct groups characterized by their economic and social compositions, reflecting the diverse conditions of the local job market and indicating that not all areas adhere to the same patterns. The first group includes 586 communities that showcase a higher prevalence of service activities, with average levels for other indicators. These communities have service presence but do not reach the activity density observed in major economic centers.
The second group comprises 580 communities classified as “vulnerable margins,” characterized by low business density, limited labor absorption capacity, and a declining basic education level indicator. The third group consists of 252 communities that exhibit a relatively higher level of basic education against a backdrop of average economic indicators, suggesting a presence of better human resources compared to the available economic activity within these areas.
The fourth group includes 82 communities identified as “integrated economic hubs,” recording the highest levels in business density, stable job provision, and labor absorption capacity, alongside elevated education indicators. Finally, the fifth group consists of 23 communities with a strong presence of public institutions and administrations, where the indicator measuring this presence is nearly six times the national average, contrasted by relatively weaker activity in the private sector. Additionally, 17 communities were excluded from the classification due to their isolation within the neighborhood network analyzed.
The Impact of Proximity on Unemployment Rates
The study highlighted that unemployment rates are not distributed entirely independently among communities; those experiencing high unemployment tend to be located adjacent to other areas facing similar challenges. A notable correlation was observed, with a neighborhood effect index for unemployment in surrounding communities recorded at 0.548. This suggests that a one-percentage-point increase in the average unemployment rate in neighboring areas corresponds to an approximate 0.55-point rise in unemployment for the concerned community, after accounting for other factors considered in the analysis.
Researchers also identified links between education indicators and the job market; however, they cautioned that these statistical relationships do not imply that increased education levels lead directly to unemployment. Instead, they may reflect the nature of available job opportunities locally and their alignment with the qualifications of job seekers. Furthermore, influences extend from communities with industrial or administrative presence to surrounding areas, reinforcing the view of the local job market as a space that transcends the administrative boundaries of each community.
Based on the data from 2024, the study offers a snapshot of the job market during a specific temporal context and acknowledges the lack of direct data regarding daily population movements between residential and work locations. Consequently, the five groups were formed based on similarities in economic, social characteristics, and neighborhood relations, rather than tracking daily movements of workers and employees between residence and work sites.
The study employed a reduction in illiteracy as a simplified measure of educational level, allowing for comparisons between communities, although it does not differentiate between various certifications, specialties, or professional skills. The findings encourage a consideration of employment issues at the level of interconnected community groups, particularly when jobs are concentrated in one community while job seekers reside in adjacent areas. This necessitates that transport, training, housing, and infrastructure become interlinked factors in the operation of the local job market. The study advocates for differentiated employment policies tailored to the nature of each group, ranging from infrastructure improvements and training in the more vulnerable communities to the development of transport, housing, and job creation that aligns with qualifications in economic hubs, while also strengthening economic links between adjacent communities.
As reported by hespress.com.
