Leadership in the community sector: promoting collaboration and social change in Belfast

Community development is centrally concerned with people in communities working together to achieve a common goal, that is, to collaborate, whether within local geographical communities, in communities of shared interests or among groups sharing a common identity. Its overarching goal is one of progressive transformational social change. As Belfast transitions from a conflict to a post-conflict society, there is a need for greater, more effective work at local community level in order to address a range of ongoing social and economic issues facing communities, including high levels of disadvantage and division. Given the significance of leadership in building effective collaboration and the centrality of collaboration for community development, it is important to understand how leadership is currently enacted and what kinds of leadership are required to support communities to collaborate effectively to bring about social change. This thesis thus centers on the kind of leadership practised and required to support collaboration for social change within the community sector in Belfast, a city that contains an estimated 28% of the total number of community and voluntary sector (CVS) organisations in Northern Ireland (Northern Ireland Council for Voluntary Action, 2012). Through a series of qualitative, in-depth interviews with people playing leadership roles in local communities, the study critically explores and analyses their experiences and perceptions in relation to leadership and collaboration. Community development in Belfast today is practised within a wider context of neoliberal policies, characterised by austerity and public spending cuts. Whilst not the only influencing factor, this context has had a particular and profound impact on the nature and role of community development practised, and on the kind of leadership enacted within it. The space for reflection and transformative action appears to be shrinking as the contraction of resources to support community development in local communities continues unabated. Those playing leadership roles increasingly find themselves compelled to spend time seeking resources and managing complex funding arrangements rather than focusing on the social change dimensions of their work. Collaboration as promoted by the state seems to have become an instrumental tactic used to implement its austerity measures and curtail the potential of the community sector. Despite this, local leaders are driving initiatives that attempt to push back, helping the sector refocus on its transformational goals of social change. To do this requires support. Those playing leadership roles require resources, including time, to encourage and enable communities to reconnect with the purpose and underpinning values of community development. Leaders also need support to develop and promote new, progressive narratives and visions and pursue these through building collaboration and solidarity.

Bottom-up modelling of energy demand and technical energy savings potential in the Irish residential sector

The International Energy Agency has repeatedly identified increased end-use energy efficiency as the quickest, least costly method of green house gas mitigation, most recently in the 2012 World Energy Outlook, and urges all governing bodies to increase efforts to promote energy efficiency policies and technologies. The residential sector is recognised as a major potential source of cost effective energy efficiency gains. Within the EU this relative importance can be seen from a review of the National Energy Efficiency Action Plans (NEEAP) submitted by member states, which in all cases place a large emphasis on the residential sector. This is particularly true for Ireland whose residential sector has historically had higher energy consumption and CO2 emissions than the EU average and whose first NEEAP targeted 44% of the energy savings to be achieved in 2020 from this sector. This thesis develops a bottom-up engineering archetype modelling approach to analyse the Irish residential sector and to estimate the technical energy savings potential of a number of policy measures. First, a model of space and water heating energy demand for new dwellings is built and used to estimate the technical energy savings potential due to the introduction of the 2008 and 2010 changes to part L of the building regulations governing energy efficiency in new dwellings. Next, the author makes use of a valuable new dataset of Building Energy Rating (BER) survey results to first characterise the highly heterogeneous stock of existing dwellings, and then to estimate the technical energy savings potential of an ambitious national retrofit programme targeting up to 1 million residential dwellings. This thesis also presents work carried out by the author as part of a collaboration to produce a bottom-up, multi-sector LEAP model for Ireland. Overall this work highlights the challenges faced in successfully implementing both sets of policy measures. It points to the wide potential range of final savings possible from particular policy measures and the resulting high degree of uncertainty as to whether particular targets will be met and identifies the key factors on which the success of these policies will depend. It makes recommendations on further modelling work and on the improvements necessary in the data available to researchers and policy makers alike in order to develop increasingly sophisticated residential energy demand models and better inform policy.

Cross-sectoral differences in the drivers of innovation: evidence from the Irish Community Innovation Survey

Purpose: The purpose of this paper is to analyse differences in the drivers of firm innovation performance across sectors. The literature often makes the assumption that firms in different sectors differ in their propensity to innovate but not in the drivers of innovation. The authors empirically assess whether this assumption is accurate through a series of econometric estimations and tests. Design/methodology/approach: The data used are derived from the Irish Community Innovation Survey 2004-2006. A series of multivariate probit models are estimated and the resulting coefficients are tested for parameter stability across sectors using likelihood ratio tests. Findings: The results indicate that there is a strong degree of heterogeneity in the drivers of innovation across sectors. The determinants of process, organisational, new to firm and new to market innovation varies across sectors suggesting that the pooling of sectors in an innovation production function may lead to biased inferences. Research limitations/implications: The implications of the results are that innovation policies targeted at stimulating innovation need to be tailored to particular industries. One size fits all policies would seem inappropriate given the large degree of heterogeneity observed across the drivers of innovation in different sectors. Originality/value: The value of this paper is that it provides an empirical test as to whether it is suitable to group sectoral data when estimating innovation production functions. Most papers simply include sectoral dummies, implying that only the propensity to innovate differs across sectors and that the slope of the coefficient estimates are in fact consistent across sectors.