Department of Economics

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    Impact of cotton dust pollution on women workers’ health and absenteeism: A cross sectional study in textile industries, Pakistan
    (Library Information Services, CUI Lahore, 2018) Salman Abdullah; SP16-REC-002/; Dr. Muhammad Khan
    The textile sector is one of the largest sectors of world and it contributed a lot in the GDP of every country. In Pakistan it contributed 8.5% to the overall GDP of the economy. A large fraction of working women found in the textile sector of Pakistan. The textile industries are creating a lot of pollution which contributed a lot in both air and water pollution. In textile sector women workers’ wages are not satisfied and polluted work environment leads to serious health issues which cause negative impact on workers’ health. Worker also has to bear economic cost of bad health. So, the objective of the research is to find out the impact of cotton dust pollution on women workers’ health, the research also aims to estimate the health and economic burden which is faced by workers due to bad health. The data is collected from the 18 textile spinning mills of Faisalabad and Lahore districts in March to June in 2015. Total 541 women worker selected from these mills compared to 513 women those are non-textile workers. The survey found that only 9% women are permanent employee and the average wage of women is PKR. 9857 per month which is less than the minimum wage law of Pakistan. The survey also shows that women workers bear high diseases burden than the control group. The analysis have also provides relationship between exposure to cotton dust pollution and many diseases like byssinosis, wheezing, phlegm, blood phlegm and chronic cough etc. These diseases are high among those workers who use firewood for cooking. Work days lost of worker is also estimated with work characteristics and it is found that if a worker is permanent employee and workers who work over time in both cases their absenteeism rate is high. Workers performance is also estimated and half of the worker explains that their performance at work is worse than normal. It is found that many diseases have negative impact on worker performance. The research therefore suggested that government should take some strict action ad textile mills should pay compensation because workers are bearing diseases like byssinosis. Safety culture should be promoted by giving workers training and advisory services. Because most of the diseases can be
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    Impact of Foreign Aid in Education Sector of Pakistan
    (Library Information Services, CUI Lahore, 2018) Muhammad Ahsan; SP14-BECO-003; Ms. Zainab Naveed
    The role of foreign aid in education in Pakistan has shown mixed results. The present study intends to explore the relationship between foreign aid and education sector of Pakistan using time series date from the year 1975 – 2014. To estimate the model Autoregressive Distributive Lag Technique has been applied. Empirical results confirm the presence of inverse relation between foreign aid and education in long and short run in Pakistan.
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    The Impact of Globalization on Foreign Direct Investment of Pakistan.
    (Library Information Services, CUI Lahore, 2017) Sakina Fawad; SP14-BECO-030; Dr. Abdul Farooq Chaudhary
    The role of globalization on foreign direct investment in Pakistan has shown mixed results. The present study intends to explore the relationship between globalization and foreign direct investment in Pakistan using time series date from the year 1975 – 2014. To estimate the model Autoregressive Distributive Lag Technique has been applied. Empirical results confirm the presence of positive relation between globalization and foreign direct investment in long and short run in Pakistan.
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    3 Economic Analysis of Agroforestry Adoption Thal region of Pakistan
    (Library Information Services, CUI Lahore, 2018) MUHAMMAD MOHSAN; SP14-BECO-012; Muhammad Mohsan
    This Study is conducted in the district Bhakar, a Hybrid-Arid Zone of Thal, Pakistan. This study aims to examine, whether adoption of agroforestry on dune increases the utility of farmer or not? Also we find the effect of socioeconomic factors e.g. age, education and number of family members of farmer on the adoption decision. Also we attempt to determine that how the farm-size, availability of tube well,non-farm income and the distance from the market effect the behavior to adoption of agroforestry system. We illustrate the decision of farmer adoption by using household production theory. By running Logistic regression analysis, we estimated result which shows that the age, education, distance to market and the farm size have the significant effect on adoption. On the other hand the number of adult family member, availability of tube well in dunes are not have significant effect. When the age, education of farmer and distance from the market increases,it will increase the likelihood to adopt the agroforestry technology. On the other hand as the farm-size increases, the farmers are less likely to adopt. The availability of non-agricultural monthly income is also having a positive and significant effect on adoption of agroforestry. So, these are the main factor that will lead to adoption of agroforestry system in Bhakkar.
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    DOES PAKISTAN CHINA FREE TRADE AGREEMENT ENDED UP IN TRADE CREATION OR DIVERSION? AN EMPERICAL INVESTIGATION
    (Library Information Services, CUI Lahore, 2015) FA13-REC-006; Lubna Uzair; LHR TP 4322; Dr. Ahmad Nawaz
    This study investigates about Jacob Viner’s trade creation and diversion effect in “Pakistan-China Free Trade Agreement” Trade creation and diversion impacts are analyzed by constructing import demand equations both from China and rest of the world by using tariff concession as an independent variable in both equations. For estimation purpose “Harmonized System” data at two digit level is used for imports and tariffs from 2006 to 2012. Import demand equations have been estimated by employing panel data. Estimates of panel model suggest that Pakistan-China trade agreement is not trade diverting and imports from China increased significantly after one year of inception of agreement.