Social impact assessment:A case study of a sewerage project in Barbados

The purpose of this paper is to investigate the reasons of social impacts of projects in developing countries despite of thorough impact assessment in appraisal phase of projects. A case study approach on a sewerage project in Barbados was undertaken using primary and secondary information. The study reveals that although the impact assessment report suggested appropriate mitigation measures, but they were not implemented by the contractors. The study suggests fostering an interconnected and symbiotic relationship between appraisal and implementation phases of a project in order to manage project environment. Additionally, a more vigilant and proactive supervisory role should be instituted and strengthened over time and adapted within the dictates of environmental needs. Copyright © 2005 Inderscience Enterprises Ltd.

Social impact assessment of a sewerage project in Barbados

This report investigates why a nationally important and internationally funded infrastructural project within the Caribbean island of Barbados — The South Coast Sewerage Project — spurned a substantial level of negative socio-economic externalities. Primary and secondary research evaluated the presence or effectiveness of social impact assessment as a mitigation tool. The mitigation measures suggested within the appraisal report appear to have been considered by the Project Execution Unit (PEU) of Government of Barbados. The primary obstacle seems to have been the implementation of the mitigation process by the contractor. This highlights the need to foster an interconnected and symbiotic relationship between appraisal and implementation, if an initiative is to be conducted efficiently and effectively. Additionally, the South Coast Sewerage Project exemplifies the importance of establishing and sustaining a monitoring/control mechanism as an integral part of project construction.

Computational modelling of the impact of particle size to the heat transfer coefficient between biomass particles and a fluidised bed

The fluid–particle interaction and the impact of different heat transfer conditions on pyrolysis of biomass inside a 150 g/h fluidised bed reactor are modelled. Two different size biomass particles (350 µm and 550 µm in diameter) are injected into the fluidised bed. The different biomass particle sizes result in different heat transfer conditions. This is due to the fact that the 350 µm diameter particle is smaller than the sand particles of the reactor (440 µm), while the 550 µm one is larger. The bed-to-particle heat transfer for both cases is calculated according to the literature. Conductive heat transfer is assumed for the larger biomass particle (550 µm) inside the bed, while biomass–sand contacts for the smaller biomass particle (350 µm) were considered unimportant. The Eulerian approach is used to model the bubbling behaviour of the sand, which is treated as a continuum. Biomass reaction kinetics is modelled according to the literature using a two-stage, semi-global model which takes into account secondary reactions. The particle motion inside the reactor is computed using drag laws, dependent on the local volume fraction of each phase. FLUENT 6.2 has been used as the modelling framework of the simulations with the whole pyrolysis model incorporated in the form of User Defined Function (UDF).

Ingroup and outgroup minorities:differential impact upon public and private responses

The experiment which is presented in this paper was designed to overcome some of the problems associated with previous research investigating the effects of social categorization and minority influence. Sixty-eight fourteen-year-old British Secondary School pupils indicated their attitudes towards a 'grant for pupils' before and after reading a text which advocated a minority position. The text was attributed as being the work of either pupils from their own school (ingroup minority) or from a school they discriminated against (outgroup minority). Responses were either made in ‘public’ (by telling subjects that other pupils would see their responses) or in ‘private’ (by subjects putting their responses into a ‘ballot box’). The results showed that on public responses ingroup minorities had more influence than outgroup minorities while there was no difference on private responses. Also, greater change occurred when responses were made in private than in public. These results are compatible with the intergroup analysis of minority influence.

Directly unproductive schooling:how country characteristics affect the impact of schooling on growth

The rapid rise in schooling in developing countries in recent decades has been dramatic. However, many cross-country regression analyses of the impact of schooling on economic growth find low and insignificant coefficients. This empirical 'puzzle' contrasts with theoretical arguments that schooling, through raising human capital, should raise income levels. This paper argues that poor results are to be expected when regression samples include countries that vary greatly in their ability to use schooling productively. Data on corruption, the black market premium on foreign exchange and the extent of the brain drain for developing countries are used as indicators of an economy's productive use of schooling. Regression analysis shows that the impact of secondary schooling on economic growth is substantially higher in countries that are adjudged to use schooling productivity.

The Long-Term impact of Business Support? - Exploring the Role of Evaluation Timing using Micro Data

The original contribution of this work is threefold. Firstly, this thesis develops a critical perspective on current evaluation practice of business support, with focus on the timing of evaluation. The general time frame applied for business support policy evaluation is limited to one to two, seldom three years post intervention. This is despite calls for long-term impact studies by various authors, concerned about time lags before effects are fully realised. This desire for long-term evaluation opposes the requirements by policy-makers and funders, seeking quick results. Also, current ‘best practice’ frameworks do not refer to timing or its implications, and data availability affects the ability to undertake long-term evaluation. Secondly, this thesis provides methodological value for follow-up and similar studies by using data linking of scheme-beneficiary data with official performance datasets. Thus data availability problems are avoided through the use of secondary data. Thirdly, this thesis builds the evidence, through the application of a longitudinal impact study of small business support in England, covering seven years of post intervention data. This illustrates the variability of results for different evaluation periods, and the value in using multiple years of data for a robust understanding of support impact. For survival, impact of assistance is found to be immediate, but limited. Concerning growth, significant impact centres on a two to three year period post intervention for the linear selection and quantile regression models – positive for employment and turnover, negative for productivity. Attribution of impact may present a problem for subsequent periods. The results clearly support the argument for the use of longitudinal data and analysis, and a greater appreciation by evaluators of the factor time. This analysis recommends a time frame of four to five years post intervention for soft business support evaluation.

The long-term impact of business support? - Exploring the role of evaluation timing using micro data

The original contribution of this work is threefold. Firstly, this thesis develops a critical perspective on current evaluation practice of business support, with focus on the timing of evaluation. The general time frame applied for business support policy evaluation is limited to one to two, seldom three years post intervention. This is despite calls for long-term impact studies by various authors, concerned about time lags before effects are fully realised. This desire for long-term evaluation opposes the requirements by policy-makers and funders, seeking quick results. Also, current ‘best practice’ frameworks do not refer to timing or its implications, and data availability affects the ability to undertake long-term evaluation. Secondly, this thesis provides methodological value for follow-up and similar studies by using data linking of scheme-beneficiary data with official performance datasets. Thus data availability problems are avoided through the use of secondary data. Thirdly, this thesis builds the evidence, through the application of a longitudinal impact study of small business support in England, covering seven years of post intervention data. This illustrates the variability of results for different evaluation periods, and the value in using multiple years of data for a robust understanding of support impact. For survival, impact of assistance is found to be immediate, but limited. Concerning growth, significant impact centres on a two to three year period post intervention for the linear selection and quantile regression models – positive for employment and turnover, negative for productivity. Attribution of impact may present a problem for subsequent periods. The results clearly support the argument for the use of longitudinal data and analysis, and a greater appreciation by evaluators of the factor time. This analysis recommends a time frame of four to five years post intervention for soft business support evaluation.

The impact of bariatric surgery on estimated glomerular filtration rate in patients with type 2 diabetes:a retrospective cohort study

Background: Diabetes mellitus is the most common cause of end-stage renal disease, which is associated with increased morbidity and mortality. The impact of bariatric surgery on chronic kidney disease is unclear. Objectives: Our primary aim was to assess the impact of bariatric surgery on estimated glomerular filtration rate (eGFR) in type 2 diabetes (T2D) patients. Our secondary aim was to compare the impact of bariatric surgery versus routine care on eGFR in patients with T2D. Setting: University Hospital, United Kingdom. Methods: A retrospective cohort analysis of adults with T2D who underwent bariatric surgery at a single center between January 2005 and December 2012. Data regarding eGFR were obtained from electronic patients records. eGFR was calculated using the Modification of Diet in Renal Disease formula. Data regarding patients with T2D who did not undergo bariatric surgery ("routine care") were obtained from patients attending the diabetes clinic at the same center from 2009 to 2011. Results: One hundred sixty-three patients were included (mean age 48.5±8.8 yr; baseline body mass index 50.8±9.1 kg/m2) and were followed for 3.0±2.3 years. Bariatric surgery resulted in an improvement in eGFR (median [interquartile range] 86.0 [73.0-100.0] versus 92.0 [77.0-101.0] mL/min/1.73 m2 for baseline versus follow-up, respectively; P = .003), particularly in patients with baseline eGFR≤60 mL/min/1.73 m2 (48.0 [42.0-57.0] versus 61.0 [55.0-63.0] mL/min/1.73 m2; P = .004). After adjusting for baseline eGFR, glycated hemoglobin (HbA1C), body mass index, age, and gender, bariatric surgery was associated with higher study-end eGFR compared with routine care (B = 7.787; P< .001). Conclusion: Bariatric surgery results in significant improvements in eGFR in T2D patients, particularly those with an eGFR≤60 mL/min/1.73 m2, while routine care was associated with a decline in eGFR.