Recent economic research has unveiled that the labor market conditions in Morocco's territorial communities are not solely determined by administrative boundaries. Instead, factors such as unemployment rates, job opportunities, and economic activity are significantly influenced by the dynamics in neighboring communities. The analysis has led to the classification of these communities into five functional groups, each varying in terms of economic activity strength, job provision capacity, education levels, and presence of public institutions.
This study was recently published in the journal Networks and Spatial Economics and relied on official data from the High Commission for Planning. Notably, it utilized the General Population and Housing Census of 2024 and the National Map of Economic Institutions for the years 2023 and 2024. The research drew upon detailed community-level data, comparing them across indicators such as business density, shares of industrial and service activities, 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 resulted in the categorization of communities into five groups, each distinct in its economic and social composition, reflecting the diverse local labor market conditions that do not conform to a uniform pattern across all areas.
The first group consists of 586 communities characterized by a higher prevalence of service activities, displaying average levels in other indicators. These communities have service-related activities but do not reach the density levels seen in major economic centers. The second group includes 580 communities classified as “fragile margins,” marked by low business density, limited labor absorption capacity, and a decline in basic educational levels.
The third group comprises 252 communities that show relatively higher levels of basic education compared to moderate economic indicators, indicating that these communities possess a relatively better human resource base than what is reflected in local economic activity. The fourth group, which includes 82 communities termed as “integrated economic poles,” exhibited the highest levels of business density, stable jobs, and labor absorption capacity, alongside elevated education levels. Finally, the fifth group, consisting of 23 communities, is distinguished by a strong presence of public institutions and administrations, with an index measuring this presence being nearly six times the national average, contrasted by relatively weaker private sector activity.
Seventeen communities fell outside these five groups during the classification phase, primarily due to their isolation within the neighborhood network used for analysis.
Unemployment Influenced by Neighboring Areas
The study highlighted that unemployment rates are not distributed independently among communities; rather, areas with high unemployment are often adjacent to those facing similar challenges. This pattern also holds true for regions with lower unemployment rates. The impact index of unemployment in neighboring communities was found to be 0.548, indicating that a one-percentage-point increase in the average unemployment rate in surrounding areas is associated with an approximate 0.55-point rise in the unemployment rate of the concerned community, after accounting for other factors included in the analysis.
Researchers also noted correlations between education indicators and the labor market, cautioning that these statistical relationships do not imply that higher education levels lead to unemployment. Instead, they may reflect the nature of local job opportunities and their alignment with the qualifications of job seekers.
Additionally, effects extending from communities with industrial or administrative presence to neighboring areas were observed, reinforcing the understanding of the local labor market as a space that, in some cases, transcends the administrative boundaries of each community.
Given that the study relies on data from 2024, it provides a snapshot of the labor market during a specific period. However, the researchers lacked direct data on daily population movements between residential and work locations. Consequently, the five groups were established based on the similarities of communities in their economic and social characteristics and their neighborhood relationships, rather than tracking daily commuting patterns of workers and employees.
The study utilized low illiteracy rates as a simplified indicator of educational levels, offering a means to compare communities while not differentiating between various certificates, specialties, and professional skills. The findings suggest an approach to employment issues at the level of interconnected community groups, particularly when jobs are concentrated in one community while job seekers reside in adjacent ones. This emphasizes that transportation, training, housing, and infrastructure are interconnected elements influencing the functionality of the local labor market.
Furthermore, the study proposes that employment policies should vary according to the nature of each group, starting from enhancing infrastructure and training in the more fragile communities to developing transportation, housing, and creating job opportunities that align with qualifications in economic poles, while also strengthening economic links between neighboring communities.
As reported by hespress.com.
