Suchergebnisse

AbstractThe global garment industry is currently being reshaped in dramatic ways through processes of trade liberalization, delocalization and interfirm and interregional competition. There has been much speculation about the increasing importance of factor (especially labour) costs in fuelling further rounds of de‐localization of garment production towards low‐cost production locations, such as China and India. However, the extent to which these processes mean the end to garment production in higher factor‐cost locations, including those neighbouring the major clothing markets of the USA and the EU, is open to question. In this article we interrogate the interregional shifts in garment sourcing taking place in Europe and its surrounding regions. While factor costs (including labour) are important determinants of the geography of sourcing, a range of other costs (logistical and policy costs) are important in structuring the geographies of global and regional production. Firms in the Slovak Republic are responding to increasing competitive pressures and we assess how trans‐border sourcing, subcontracting and FDI are being integrated into strategies to sustain European production networks. We highlight the emergence of cross‐border production relocation to Ukraine as one specific strategy. We examine the product specificity of these changes and the ways in which they are embedded within already existing production networks, forms of cross‐border contracting and central European trade regimes. In other words, we explore some of the forces that shape the somewhat tentative continuation of garment production for export to EU markets in central Europe despite the 'spectre of China'.

Abstract Background European countries are increasingly adopting systems of self –care support (SMS) for long term conditions which focus on enhancing individual, competencies, skills, behaviour and lifestyle changes. To date the focus of policy for engendering greater self- management in the population has been focused in the main on the actions and motivations of individuals. Less attention has been paid to how the broader influences relevant to SMS policy and practice such as those related to food production, distribution and consumption and the structural aspects and economics relating to physical exercise and governance of health care delivery systems might be implicated in the populations ability to self- manage. This study aimed to identify key informants operating with knowledge of both policy and practice related to SMS in order to explore how these influences are seen to impact on the self-management support environment for diabetes type 2. Methods Ninety semi-structured interviews were conducted with key stakeholder informants in Bulgaria, Spain, Greece, Norway, Netherlands and UK. Interviews were transcribed and analysed using thematic and textual analysis. Results Stakeholders in the six countries identified a range of influences which shaped diabetes self-management (SM). The infrastructure and culture for supporting self- management practice is viewed as driven by political decision-makers, the socio-economic and policy environment, and the ethos and delivery of chronic illness management in formal health care systems. Three key themes emerged during the analysis of data. These were 1) social environmental influences on diabetes self-management 2) reluctance or inability of policy makers to regulate processes and environments related to chronic illness management 3) the focus of healthcare system governance and gaps in provision of self-management support (SMS). Nuances in the salience and content of these themes between partner countries related to the presence and articulation ofdedicated prevention and self- management policies, behavioural interventions in primary care, drug company involvement and the impact of measures resulting .

Background European countries are increasingly adopting systems of self –care support (SMS) for long term conditions which focus on enhancing individual, competencies, skills, behaviour and lifestyle changes. To date the focus of policy for engendering greater self- management in the population has been focused in the main on the actions and motivations of individuals. Less attention has been paid to how the broader influences relevant to SMS policy and practice such as those related to food production, distribution and consumption and the structural aspects and economics relating to physical exercise and governance of health care delivery systems might be implicated in the populations ability to self- manage. This study aimed to identify key informants operating with knowledge of both policy and practice related to SMS in order to explore how these influences are seen to impact on the self-management support environment for diabetes type 2. Methods Ninety semi-structured interviews were conducted with key stakeholder informants in Bulgaria, Spain, Greece, Norway, Netherlands and UK. Interviews were transcribed and analysed using thematic and textual analysis. Results Stakeholders in the six countries identified a range of influences which shaped diabetes self-management (SM). The infrastructure and culture for supporting self- management practice is viewed as driven by political decision-makers, the socio-economic and policy environment, and the ethos and delivery of chronic illness management in formal health care systems. Three key themes emerged during the analysis of data. These were 1) social environmental influences on diabetes self-management 2) reluctance or inability of policy makers to regulate processes and environments related to chronic illness management 3) the focus of healthcare system governance and gaps in provision of self-management support (SMS). Nuances in the salience and content of these themes between partner countries related to the presence and articulation ofdedicated prevention and self- management policies, behavioural interventions in primary care, drug company involvement and the impact of measures resulting from economic crises, and differences between countries with higher versus lower social welfare support and public spending on shaping illness management. Conclusions The results suggest reasons for giving increasing prominence to meso level influences as a means of rebalancing and improving the effectiveness of implementing an agenda for SMS. There is a need to acknowledge the greater economic and policy challenging environment operating in some countries which act as a source of inequality between countries in addressing SMS for chronic illness management and impacts on people's capacity to undertake self-care activities.

Background European countries are increasingly adopting systems of self –care support (SMS) for long term conditions which focus on enhancing individual, competencies, skills, behaviour and lifestyle changes. To date the focus of policy for engendering greater self- management in the population has been focused in the main on the actions and motivations of individuals. Less attention has been paid to how the broader influences relevant to SMS policy and practice such as those related to food production, distribution and consumption and the structural aspects and economics relating to physical exercise and governance of health care delivery systems might be implicated in the populations ability to self- manage. This study aimed to identify key informants operating with knowledge of both policy and practice related to SMS in order to explore how these influences are seen to impact on the self-management support environment for diabetes type 2. Methods Ninety semi-structured interviews were conducted with key stakeholder informants in Bulgaria, Spain, Greece, Norway, Netherlands and UK. Interviews were transcribed and analysed using thematic and textual analysis. Results Stakeholders in the six countries identified a range of influences which shaped diabetes self-management (SM). The infrastructure and culture for supporting self- management practice is viewed as driven by political decision-makers, the socio-economic and policy environment, and the ethos and delivery of chronic illness management in formal health care systems. Three key themes emerged during the analysis of data. These were 1) social environmental influences on diabetes self-management 2) reluctance or inability of policy makers to regulate processes and environments related to chronic illness management 3) the focus of healthcare system governance and gaps in provision of self-management support (SMS). Nuances in the salience and content of these themes between partner countries related to the presence and articulation ofdedicated prevention and self- management policies, behavioural interventions in primary care, drug company involvement and the impact of measures resulting from economic crises, and differences between countries with higher versus lower social welfare support and public spending on shaping illness management. Conclusions The results suggest reasons for giving increasing prominence to meso level influences as a means of rebalancing and improving the effectiveness of implementing an agenda for SMS. There is a need to acknowledge the greater economic and policy challenging environment operating in some countries which act as a source of inequality between countries in addressing SMS for chronic illness management and impacts on people's capacity to undertake self-care activities.