An Analysis of Exploring the Relationship between Foreign Inflows and Sectoral Output of Pakistan

The study aims at investigating the relationship between foreign inflows and sectoral output of Pakistan using time series annual data for the period from 1972 to 2013. Following Solow growth model, the results suggest positive relationship of employed labor force, investment, foreign direct investment, foreign aid and workers’ remittances with sectoral output of Pakistan while trade deficit is negatively correlated with sectoral output. According to some diagnostic statistics, the regression model is free from autocorrelation problem, residuals are normally distributed and there is no specification problem. Keywords: Agriculture Sector Output, Industrial Sector Output, Services Sector Output, Foreign Direct Investment, Trade Deficit, Foreign Aid, Workers’ Remittances. JEL Classification Codes: B13, C32, C82, E13, E22, E23, E24, F35.

A Time Series Analysis of Investigating the Influence of Sectoral Output on Employment in Pakistan

The present study aims at investigating the influence of Sectoral Output (agriculture, industrial and services sector output) on the employment in the Pakistan using annual data ranging from 1972 to 2014. Results are estimated using log-log forms of the equations. The study applies unit root test and has found order of integration as 1. The long run coefficients are estimated using Johansen co-integration test which suggests agriculture; Industrial & Services sectors output and exports as positively linked with employment. Consumer Price Index, Exchange rate and Population may have a positive as well as negative link with employment. Short run results show converges towards the long run equilibrium. Keywords: Sectoral Output, Employment, Exchange rate, Population, Johansen Co-integration test, Consumer Price Index, Exports JEL Classification: C13, C32, E24, E31, F18, O47, Q10, L60, P2

Elusive Partnerships: Gas extraction and CSR in Bangladesh

This paper examines Chevron's programme of CSR at a gas field in Bangladesh. Whilst apparently building partnerships in the villages that surround the Bibiyana Gas Field, we suggest that the corporation remains detached from the local population via their community development programmes and employment policies. This contradiction is submerged by ideas and practices within global development discourse which celebrate the disconnection and disengagement of donors via the rhetoric of sustainability. Chiming with development praxis and the neo-liberal values which underscore it by stressing self-reliance, entrepreneurship and ‘helping people to help themselves’, the corporation's Community Engagement Programme does little to meet the demands of local people who hoped for employment and long term investment, a form of connection that is discordant to discourses of self-reliance and sustainability

Rural-Urban Saving Differentials in Pakistan: Investigation from Primary Data

The present study examines rural-urban saving differentials in Multan district of Pakistan. For the purpose, primary cross sectional data were collected by the authors from district Multan. 113 respondents from urban areas and 180 from rural areas are randomly interviewed. Study interprets results at two stages, first at preliminary level using Mean and Standard deviation. At second stage, estimates are calculated using multivariate regression analysis. Results suggest that rural households are less likely to save due to children’s educational expenditures, family size, value of house and liabilities to be paid. While, spouse participation, total dependency rate, total income of households and size of landholdings are the factors that enhance saving level of rural households. The findings of this study indicate that urban household savings increase due to age of household heads, total income of households, and size of landholdings. Urban savings appeared to be negatively affected by children’s educational expenditures and liabilities to be paid by household head. Finally, study suggests that there is a need to lay more emphasis on industrial development and well-reputed educational institutions in rural areas

Saving behavior among different income groups in Pakistan: A micro study

Abstrac

Experimental study to optimize cold working, aging temperature, and time on the properties of AA6061 tubes: analysis using design of experiment

The purpose of this study is to examine the impact of various process parameters, such as cold work, aging temperature, and aging time, on the yield strength, ultimate tensile strength (UTS), and elongation of AA6061 tubes. The experimental plan is carried out, and the data is analyzed using Design Expert software. Main effects plots and interaction plots are generated to visually examine the effects of individual factors and the interaction between two factors on the output response variables. ANOVA analysis is conducted to assess the statistical significance of the model and individual model coefficients. The results reveal that all input factors had a significant impact on yield, whereas cold work and temperature and their interaction are significant for UTS. However, the model is not significant for elongation. The most notable finding is that the aging temperature’s effect is significant than the other two factors. These study findings can inform future experiments or process optimization efforts by considering the combined impact of these factors and their interactions. The study also found that the optimal temperature range is between 155°C to 170°C, along with a recommended cold work percentage of 10% or more and preferred time of above 10 h up to overage time. The model achieved an overall accuracy rate of over 90%, indicating its ability to predict the response variable with a high degree of precision

The global burden of cancer attributable to risk factors, 2010-19 : a systematic analysis for the Global Burden of Disease Study 2019

Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.Peer reviewe

The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

BACKGROUND: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk–outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01–4·94) deaths and 105 million (95·0–116) DALYs for both sexes combined, representing 44·4% (41·3–48·4) of all cancer deaths and 42·0% (39·1–45·6) of all DALYs. There were 2·88 million (2·60–3·18) risk-attributable cancer deaths in males (50·6% [47·8–54·1] of all male cancer deaths) and 1·58 million (1·36–1·84) risk-attributable cancer deaths in females (36·3% [32·5–41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6–28·4) and DALYs by 16·8% (8·8–25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9–42·8] and 33·3% [25·8–42·0]). INTERPRETATION: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden