This paper explores the (de-)routinisation of employment structure in developing countries, through the case of Morocco. We investigate employment (de-)routinisation from an often-overlooked perspective, aiming to elucidate the interplay between the dynamics of occupational employment composition by the level of routine tasks intensity and two structural aspects: premature deindustrialisation and the prevalence of informal labour.

Our findings, based on tertile analysis and regressions, do not fully support the hypothesis of employment structure de-routinisation. At the same time, we could not identify a clear process of routinisation similar to that observed in developing countries undergoing the first stage of the traditional structural transformation process. Rather, we identified an inverted U-shaped pattern in the dynamics of occupational employment, indicative of a rise in intermediate routine-intensive occupations.

We emphasise two key factors, with opposite effects that have contributed to this atypical pattern: The first aspect is premature deindustrialisation, which according to our shift-share decomposition, has adversely affected highly routine-intensive jobs, contrasting with the routinisation trend observed in countries that have experienced a more traditional process of structural transformation. The influence of premature deindustrialisation in terms of de-routinisation is somewhat mitigated by the increasing prevalence of occupations demanding intermediate routine tasks, particularly within the services and construction sector. Regarding the second structural aspect – the prevalence of informal labour – our three-way interaction model indicates a lower susceptibility of informal jobs to de-routinisation compared to their formal counterparts within the same industry. Consequently, the prevalence of informal employment has slowed down the process of de-routinisation of employment structure.

This article addresses the unresolved question of whether recent technological change causes job instability in a non-western context. China is now the world’s largest user of industrial robots. A Lewis turning point has been predicted, involving a transition from a plentiful supply of rural low-cost workers to a labour shortage economy in which rising labour costs drive labour-technology substitution. The routine-biased technological change hypothesis suggests that technology-induced routinisation in job task content has a profound impact on employment structure. This study captures the extent of routinisation of jobs in the transitional context of China and examines the incidence and impact of routinisation on labour turnover in the labour market. Using rotating panel data from the China Labour-force Dynamics Survey 2012, 2014 and 2016, this study, based on individual information with regard to flexibility in work schedules and degree of autonomy in workload and task content on the job, follows a recently developed measure to construct a routine intensity index and indicates a division into three routine intensity groups. The empirical findings show that the probability of job mobility is significantly increased with the magnitude of routine task intensity, suggesting that the process of technology-induced routinisation is strongly associated with labour turnover.