ABSTRACT
Forecasts about the effects of new technologies on labor demand are generally pessimistic. However, little is known about the current level of technology adoption and its effect on labor demand, particularly in developing countries. This paper exploits a national representative employer survey and administrative data from Peru to offer empirical evidence in this regard. Our results show that the adoption of new technologies by firms is still incipient in the country. However, when adopted, they slightly reduce the demand for workers in the medium term, particularly those in high-skilled and non-routine occupations, with a temporary job contract, and during the COVID-19 pandemic.
ABSTRACT
Purpose>This study aims to develop a curriculum guide model to upgrade the construction supervision practices, considering evolving challenges and thereby the next normal of the industry.Design/methodology/approach>Both qualitative and quantitative research designs were adopted to identify productivity-related challenges that can be addressed through effective supervision in construction. Meetings, discussions, workshops and surveys were conducted among construction experts to systematically develop the competencies of construction supervision. The necessary mapping models were used to identify the level of outcomes for each competency element along with the learning domains and programme outcomes.Findings>A curriculum guide model consisting of 64 competency elements has been introduced with corresponding assessment weightages and mapping outcomes. Using this model, a new training programme has been designed and tested with weightage percentages on learning domains.Research limitations/implications>Although the scope of the study is limited to Sri Lanka, the findings can be interpreted for critical learning in other developing countries too.Practical implications>The study outcomes are expected to make a high impact on improving the standards of vocational training education in the country, thereby upgrading the current industry practices.Originality/value>The developed guide model is expected to be a valuable tool for training providers/organisations in upgrading their programmes/practices with the scope of productivity improvement. The obtained mapping outcomes are significant for the evolving next normal situations in teaching, learning and assessment methods with regard to construction supervision practices.
ABSTRACT
This contribution critically assesses the productivity puzzle and gives an outlook on the COVID-19 crisis. It offers two main conclusions. First, it posits that a large fraction of the productivity puzzle can be solved by incorporating intangible capital into the asset boundary of the national accounts. Thus, the productivity puzzle is largely explained as a consequence of fundamental structural changes that are underway, transforming industrial economies into knowledge economies. Secondly, the contribution foresees a post-COVID-19 scenario that is likely to lead to a pronounced increase in labor productivity growth. This depends, however, on whether the current push for digitization will be backed by actual investments in digitization and the necessary complementary investments in (business and public) intangible capital. © 2022, The Author(s).