Purpose – The purpose of this paper is to investigate ways to attract and retain knowledge workers in a globally successful knowledge city or a city aspiring to become one.Design/methodology/approach – The paper reviews the literature on knowledge work and workers and provides useful recommendations on the fundamentals of how to attract and retain knowledge workers.Findings – The paper sheds light on attracting and retaining knowledge workers that knowledge industries, knowledge‐based development and knowledge cities rely on.Originality/value – The paper provides an in‐depth discussion on the concepts of knowledge work, knowledge workers and what these workers want when they are not at work.
International literature has illustrated that the health impacts of heat waves vary according to differences in the spatial variability of high temperatures and the social and economic characteristics of populations and communities. However, to date there have been few studies that quantitatively assess the health vulnerability to heat waves in China. To assess the spatial distribution of health vulnerability to heat waves in Guangdong Province, China. A vulnerability framework including dimensions of exposure, sensitivity, and adaptive capacity was employed. The last two dimensions were called social vulnerability. An indicator pool was proposed with reference to relevant literatures, local context provided by relevant local stakeholder experts, and data availability. An analytic hierarchy process (AHP) and a principal component analysis were used to determine the weight of indicators. A multiplicative vulnerability index (VI) was constructed for each district/county of Guangdong province, China. A total of 13 items (two for exposure, six for sensitivity, and five for adaptive capacity) were proposed to assess vulnerability. The results of an AHP revealed that the average VI in Guangdong Province was 0.26 with the highest in the Lianzhou and Liannan counties of Qingyuan (VI=0.50) and the lowest in the Yantian district of Shenzhen (VI=0.08). Vulnerability was gradiently distributed with higher levels in northern inland regions and lower levels in southern coastal regions. In the principal component analysis, three components were isolated from the 11 social vulnerability indicators. The estimated vulnerability had a similar distribution pattern with that estimated by AHP (Intraclass correlation coefficient (ICC)=0.98, p<0.01). Health vulnerability to heat waves in Guangdong Province had a distinct spatial distribution, with higher levels in northern inland regions than that in the southern coastal regions.
It has been argued that the global city-social polarisation thesis put forward by scholars looking at North American cities cannot be easily transferred to global cities in other parts of the world. Recent research has illustrated that whilst there may be some change in levels of social polarisation in global cities outside the US, the form, structure and causes of social polarisation are different. This paper extends the debate by looking at Sydney, Australia. It is argued that whilst changes in occupational structure and income polarisation are partially explained by economic restructuring associated with globalisation, global processes alone cannot fully explain these changes. The paper points to the significance of the inclusion of factors such as the unemployed, the gendered structure of occupations and migration.