Geographical Clusters

Author(s):  
Johannes Saal
2010 ◽  
Vol 42 (1) ◽  
pp. 143-159 ◽  
Author(s):  
Jeffrey L. Jordan ◽  
Bulent Anil ◽  
Abdul Munasib

While a substantial amount of research has been devoted to showing what social capital does, research explaining social capital itself lags behind. The literature has a long tradition of examining the effect of social capital on local economic growth and development. In this paper we examine whether local economic development can explain the variation in social capital across various geographical clusters in the state of Georgia. We begin by devising a measurement tool, a Human Development Index (HDI), to measure community development. Our social capital measure includes associational memberships, voluntary activities, and philanthropy obtained from the Georgia Social Capital Survey. The findings show that even after accounting for various demographic and economic characteristics, the HDI explains the variation in a number of social capital levels (especially those measured by associational involvement) across various geographical clusters in the state of Georgia.


Author(s):  
Nunzia Carbonara

According to the economic geography literature, firms tend to geographically cluster when agglomeration economies exist. These are positive externalities associated with the co-location of firms within a bounded geographic area. Traditionally, the agglomerative advantages have been expressed in terms of pecuniary externalities and they have been identified as one of the key sources of the geographical clusters' competitive advantage. However, in the last years the basics of competition are changed and the ability of firms to create new knowledge is more crucial for success rather than the efficiency in production. This has shifted the attention of scholars on the role of knowledge and learning for the competitiveness and success of geographical clusters. In line with these studies, the chapter suggests that agglomeration economies are related to both pecuniary externalities and knowledge-based externalities. The latter are benefits that co-located firms can gain in terms of development of knowledge. To investigate whether knowledge-based externalities affect geographical clustering of firms, an agent-based model is developed. By using this model, a simulation analysis is carried out.


2020 ◽  
Vol 66 (5) ◽  
pp. 460-468
Author(s):  
Daniel Hideki Bando ◽  
Ligia Vizeu Barrozo ◽  
Fernando Madalena Volpe

Background: To identify geographical clusters of suicide in São Paulo, Brazil (2006–2015) and to verify the associations of suicide with sociocultural characteristics of its 96 districts. Methods: Spatial scan test was used to detect the geographical clusters. Correlation and multiple regression techniques were used to estimate the association of socioeconomic and cultural variables with suicide. Results: The mean suicide rate was 4.8/100,000. Three clusters were identified which are as follows: one of increased risk in downtown and two of decreased risk in the South and in the Southeast. The mean suicide rate of the high-risk clustered districts (7.99/100,000) presented significantly higher average incomes per household, higher proportion of formally educated, of no religious affiliation, of recent migrants, of all-times migrants and lower proportion of married. The multiple model selected two independent risk factors – people with no religious affiliation (β = 0.182) and of recent migrants (β = 0.278) – and two protective factors – the proportion of married (β = –0.185) and of total migrants (β = –0.075), which jointly explained 58.4% of the variance. Conclusion: Durkheimian social and cultural risk factors for suicide were confirmed. Compared to a previous study period (1996–2005), suicide rates and geographical clusters remained relatively stable in the subsequent decade (2006–2015).


2015 ◽  
Vol 2 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Raid Amin ◽  
Nicole S. Nabors ◽  
Arlene M. Nelson ◽  
Murshid Saqlain ◽  
Martin Kulldorff

2020 ◽  
Author(s):  
Akim Tafadzwa Lukwa ◽  
Aggrey Siya ◽  
Karen Nelwin Zablon ◽  
James Azam ◽  
Olufunke A. Alaba

Abstract BackgroundGlobally nations are advocating for universal health coverage which argues for health access for all however, inequalities in child health remain a threat to this global initiative. Even though malnutrition and food insecurity are now dominating the global development agenda, there are substantial gaps on literature about patterns and trends of socioeconomic inequalities in food insecurity and malnutrition in many developing countries. Globally an estimated 3.1 million children die annually as a result of undernutrition, shockingly sub-Saharan Africa accounts for majority of the most nutritionally insecure and food insecure children in the world. In previous decades’ prevalence of stunting in Zimbabwe has been erratic. This paper assessed socioeconomic inequalities in child health focusing on malnutrition and food insecurity in Zimbabwe.MethodsThe study used Demographic Health Survey (DHS) data sets of 2010\11 and 2015. Food insecurity in children was determined based on the WHO dietary diversity score. The study adopted the WHO dietary diversity score informed by the Infant and Young Child Feeding (IYCF) practices. Minimum dietary diversity as an indicator for food security is defined by a cut- off point of >4, therefore for this study children with less than 3 of the 13 food groups were defined as food insecure. Malnutrition was assessed using weight-for-age Z-scores, with children whose weight-for-age Z-score below minus two standard deviations (-2 SD) from the median considered malnourished. Concentration indices were computed to understand if malnutrition was dominant among the poor or rich. The paper used the Theil index, which is a generalized entropy measure and decomposed the indices by population subgroups (geographical clusters and socioeconomic status) so as to separate total inequality in the distribution between the selected groups and remaining within-group inequalities.ResultsFor the period under review malnutrition prevalence increased by 1.03 percentage points (p.p) [2010/11(3.73%); 2015(4.76%)], while food insecurity prevalence decreased by 4.35p.p [2010/11(78.29%);2015(73.94)]. Prevalence of malnutrition and food insecurity increased by; 9.6p.p and 2p.p among poor children & 10.23p.p and 0.5p.p among rural children. Concentration indices showed that; children from wealthy households were more likely to be food secure (pro-rich) while, children from poor households were more likely to be nutritious (pro-poor). For nutrition status socioeconomic inequality gaps appear to be widening as the concentration indices between the two time periods increased, while for food security status socioeconomic inequality gaps appear to be contracting as the concentration indices between the two time periods reduced. Decomposed Theil indices by geographical clusters (urban & rural) for; food security status shows contracting socioeconomic inequality gaps in both geographical clusters (urban & rural), while for nutrition status the Theil indices reflect widening socioeconomic inequality gaps among urban children and contracting socioeconomic inequality gaps among rural children.ConclusionThe study concluded within-group inequalities to be driving most of the socioeconomic inequalities in nutritional status and food security status of children in Zimbabwe. Therefore, Zimbabwean government should design policies that focus on addressing within-group inequalities and direct food security interventions for food insecure children through availing food aid.


Sign in / Sign up

Export Citation Format

Share Document