Causes of Urban Migration in Bangladesh: Evidence from the Urban Health Survey

Mass migration is increasing urban populations globally. One country where urban migration is significantly increasing is Bangladesh, where systematic research will explore the reasons for urban migration in order to devise policies in this area, including maintaining the balance of urban–rural developments. This study used the Urban Health Survey (UHS) 2013 to ascertain the reasons for urban migration in large divisional cities in Bangladesh. The 2013 survey examined the differences between male and female migration, alongside any significant sociodemographic factors that might contribute to their motivation for moving to the city. The survey revealed that a majority of women (64.8%) migrated for family purposes, for example, joining husbands or in-laws, or parents/children. However, in recent years, female migrants have been involved in income-generating activities mostly due to a recent garment-making boom in Dhaka and its suburbs. A higher proportion of men (85.3%) moved to urban areas for work-related reasons: searching for new jobs, better income, or transfer in services. Among the sample in this study, 77% of the respondents (79.3% female and 73.5% male) migrated from villages. This migration mostly centered on Dhaka, the capital city of Bangladesh, where 68.1% of the total study sample migrated followed by 15.7% who went to Chittagong. The results indicate that the contemporary urban-centered economic policy in Bangladesh might require revision to accommodate the increased migrants from rural areas.

     

Construction of circular partially balanced-Repeated measurement designs using cyclic shifts

Repeated measurement designs are widely used in medicine, pharmacology, animal sciences and psychology. These designs balance out the residual effects. The situations where balanced repeated measurements designs require a large number of the subjects, partially-balanced repeated measurements designs should be used. In this paper some infinite series are developed which provide circular partially-balanced repeated measurement designs for p (periods) even. Catalogues of circular partially-balanced repeated measurement designs are also presented for v (treatments) ≤ 100 with p = 5, 7 & 9.     

Analysing local perceptions of post‐conflict and post‐floods livelihood interventions in Swat,Pakistan

The Swat valley in Pakistan’s Khyber Pakhtunkhwa (KP) province was affected by a protracted conflict and super flood between 2007 and 2010. This article explores local perceptions of the Swat response, which presented complex challenges for rehabilitation and livelihood recovery of affected communities. This study examines local perceptions of how non‐governmental organizations (NGOs) and government response addressed livelihood revival needs, considers questions relating to the nature and dynamics of the conflict and floods and reflects on the issues and lessons of post‐disaster relief and development. The qualitative case study was conducted between September 2010 and February 2011. Primary data were collected in 11 villages and localities from beneficiaries and non‐beneficiaries, government representatives, community leaders and programme officials involved in livelihood interventions. This article identifies the shortcomings associated with the targeted response, as well as the types of response offered in the form of beneficiary selection and elite co‐opting of aid. The response was affected by a lack of relief, recovery and development programme co‐ordination, weak institutional support and non‐prioritization of local needs. The article recommends that for effective development policy and practice, local ownership of response and recovery programmes needs to be promoted.     

Managerial Responses to Online Reviews: A Text Analytics Approach

This study tests the effects of online managerial responses and returning customers’ future satisfaction (measured as review ratings) by performing social media text analytics on a hotel sample. Essentially, this paper provides insight into meaningful differences in future ratings between responding and non‐responding hotels, as well as differences in response styles between ratings improvement and non‐improvement. The results indicate that: (1) subsequent ratings are higher if customers receive responses to their previous online reviews; (2) increase in ratings is more significant among low‐satisfaction customers, and a decrease in ratings is mitigated if responses are provided; (3) responding to loyal customers – those who have visited and rated the same hotel more than three times – has a limited impact on ratings; (4) responses are longer and sentiment is slightly lower in scenarios where subsequent ratings are improved, but there is no significant difference in the effect of response speed between the two groups; (5) changes in ratings also affect styles of responding to current reviews – if customer satisfaction has improved, response length tends to be shorter and sentiment level tends to be higher. The findings offer both theoretical and managerial implications by demonstrating the utility of social media text analytics.     

Why bother to ‘downshift’? The characteristics and satisfaction of downshifters in the Brisbane-South East Queensland region,Australia

Using the data collected as part of a Quality of Life (QoL) survey in the Brisbane-South East Queensland region (SEQ) of Australia, this paper examines differences in satisfaction levels between downshifters and non-downshifters, and identifies socio-economic predictors of the downshifting phenomenon. Almost 30% of survey respondents are classified as downshifters. Multivariate Analysis of Covariance reveals significant differences between downshifters and non-downshifters in a number of life-satisfaction domains, although the degree to which they were satisfied with their life before downshifting is unknown. Analysis of Covariance shows that downshifters reported a significantly lower level of satisfaction than non-downshifters, especially with respect to satisfaction with the amount of money available to them, independence or freedom, and employment. Multivariate logistic regression analysis reveals that post-secondary education and employment were positively associated with downshifting, while age was significantly associated with downshifting. It is argued that if downshifting is associated with lower levels of satisfaction, intervention may be required to initiate programs to engage downshifters more fully in the workforce by facilitating more flexible work arrangements and an improved working environment.     

A study of subjective visual disturbances in jewellery manufacturing

Subjective Visual Disturbances are silent adversaries that appear over a period of continued exposure and arise when the visual demands of the tasks exceed the visual abilities of the user. Jewellery manufacturing activity involves precision designs, setting the metal and stones, polishing and filing which requires higher visual demand. Therefore, it is expected that the jewellery manufacturing workers may experience subjective visual disturbances. This study was taken up with the following objectives 1) To study the presence of subjective visual disturbances among jewellery manufacturing workers and compare the same with VDT operators 2) To study the effect of work exposures on subjective visual disturbances and 3) to ascertain whether subjective visual disturbances have any permanent vision related problems. The study was carried out on jewellery manufacturing workers, VDT operators and on graduate students. The symptoms of subjective visual disturbances were identified using a questionnaire developed by Sheedy (2003). Viewing distances were measured and visual angles were calculated. The eye check--ups were also carried out. The subjective visual disturbances were higher in jewellery manufacturing workers. The findings suggest that work exposure has an impact on the causation of subjective visual disturbances. No pathological conditions of the eyes were observed.     

Designing of a control chart using belief statistic for exponential distribution

A new control chart is proposed by using the belief statistic for the exponential distribution. The structure of the proposed control chart is given to measure the average run length for the shifted process. The comparison of the proposed chart is given with the existing charts in terms of the average run lengths, which shows the outperformance of the proposed chart. The performance of the proposed control chart is also discussed with the help of simulated data.     

Testing equality of two intercepts for the parallel regression model with non sample prior information

This paper proposes tests for equality of intercepts of two simple regression models when non sample prior information is available on the equality of two slopes. For three different scenarios on the values of the slope, namely (i) unknown (unspecified), (ii) known (specified), and (iii) suspected, we derive the unrestricted test (UT), restricted test (RT), and pre-test test (PTT) for testing the equality of intercepts. The test statistics, their sampling distributions, and power functions of the tests are obtained. Comparison of power function and size of the tests reveals that the PTT has a reasonable dominance over the UT and RT.     

Perturbed robust linear estimating equations for confidentiality protection in remote analysis

National statistical agencies and other data custodians collect and hold a vast amount of survey and census data, containing information vital for research and policy analysis. However, the problem of allowing analysis of these data, while protecting respondent confidentiality, has proved challenging to address. In this paper we will focus on the remote analysis approach, under which a confidential dataset is held in a secure environment under the direct control of the data custodian agency. A computer system within the secure environment accepts a query from an analyst, runs it on the data, then returns the results to the analyst. In particular, the analyst does not have direct access to the data at all, and cannot view any microdata records. We further focus on the fitting of linear regression models to confidential data in the presence of outliers and influential points, such as are often present in business data. We propose a new method for protecting confidentiality in linear regression via a remote analysis system, that provides additional confidentiality protection for outliers and influential points in the data. The method we describe in this paper was designed for the prototype DataAnalyser system developed by the Australian Bureau of Statistics, however the method would be suitable for similar remote analysis systems.