Please login to be able to save your searches and receive alerts for new content matching your search criteria.
Using a micro-economic perspective, this study explores the type, scale and impact of innovation activities that small and medium-sized enterprises (SMEs) undertake with focus on the sub-national level. Based on a representative sample of 250 independent SMEs, based in the Leeds City Region (LCR) and using quantitative methods, this study provides evidence of the types of innovation that are most likely to result in achieving policy aims associated with for example the development of international markets or growth of employment opportunities. The findings show that there is a need for aligning business support for innovation with human capital (education/training) interventions. Furthermore, the findings provide a strong evidence base, at the local level, to inform the development of innovation policy and illustrate the connections between different types of innovation SMEs’ growth at regional level.
This research paper aims to study the impact of COVID-19 on the economy, where we have extended the standard epidemiological model, the Susceptible–Infected–Recovered (SIR) model. In the economy’s dynamics, we have incorporated aggregate demand and aggregate supply and further set up a system of three-dimensional nonlinear differential equations, which is more likely the Labor–Infected–Quarantine (LIQ) model, an extension of the SIR model. Here, we have derived the steady-state condition and analyzed the model’s stability. In addition, we have done a comparative static analysis of parameters with some policy implications. We aim to achieve the twin objective, i.e., controlling the pandemic and reviving the economy under the set of the policy mix.
Using a micro-economic perspective, this study explores the type, scale and impact of innovation activities that small and medium-sized enterprises (SMEs) undertake with focus on the sub-national level. Based on a representative sample of 250 independent SMEs, based in the Leeds City Region (LCR) and using quantitative methods, this study provides evidence of the types of innovation that are most likely to result in achieving policy aims associated with for example the development of international markets or growth of employment opportunities. The findings show that there is a need for aligning business support for innovation with human capital (education/training) interventions. Furthermore, the findings provide a strong evidence base, at the local level, to inform the development of innovation policy and illustrate the connections between different types of innovation SMEs’ growth at regional level.
This paper is devoted to nonlinear phenomena in economics which arise in a monopoly.