1,721,021 research outputs found
Trade, Poverty and Employment: EmpiricalEvidence from Pakistan: Muhammad Tariq Majeed
This study investigates the development effects of trade liberalization in Pakistan. The results show that the effect of trade liberalization on per capita GDP is insignificant, though the sign is positive. However its effect on employment is negative. Although trade theory predicts that trade openness is the potential source of economic growth that in turn spills over its positive effects on labor market but this study reveals jobless-openness phenomenon in Pakistan. It is also found that trade liberalization has increased income inequalities because it creates winners and losers simultaneously that results in negative welfare impact. As far as eradication of poverty is concerned, it has been found that trade accentuates, not ameliorates, and that it intensifies, not diminishes, poverty in the case of Pakistan. The role of human capital emerged as a favorable factor in enhancing per capita GDP and eradication of poverty. The conclusion of this study is that trade liberalization is not pro-development in the case of Pakistan and investment in human capital is the effective tool for development and fighting against poverty
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Women Empowerment and Globalization Evidence from the Organisation of Islamic Cooperation (OIC) Countries
Do digital governments foster economic growth in the developing world? An empirical analysis
Is Press Freedom an Effective Tool to Empower Women? Empirical Evidence from Organisation of Islamic Cooperation (OIC) Countries
Migrant Remittances and Corruption: An Empirical Analysis
This study revisits the sources of corruption using a panel data for 122 countries. It contributes to the literature by analyzing the relationship between remittance and corruption with particular focus on analysis of distribution of dependent variable (corruption). In cross sectional and panel settings, it is found that ‘one standard deviation’ increases the remittance variable in association with an increase in corruption of 0.33 points, or 25 per cent of a standard deviation in the corruption index. It is also investigated whether greater remittances consistently increase corruption, among the most and least corrupt countries. Result of this shows that among the least corrupt countries, remittances do not appear to increase corruption but, among most corrupt countries, it significantly promotes corruption. Findings of this study are robust to different samples specifications, to regional effects and to the alternative econometric techniques
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