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Item Socio-Economic Factors of Homicide Crime: Panel Data Analysis(UMT, Lahore, 2015) Maryam AliThere always have existed individuals with deviant behaviors in society because of either social environment or economic conditions that have led to this chaos. This research has been conducted for selected Asian Countries that are not only geographically close to each other but also have been and still going through similar stages of development. These countries include Pakistan, China, India and Sri Lanka. Aim of this research is to analyze the effect of socio-economic factors that lead to Homicide Crime. The detailed estimated results highlighted that the basic pooled OLS model is not appropriate because of presence of heteroscedasticity and Fixed Effect is not appropriate because of presence of autocorrelation and henceforth this study has used Kao Residual based Test to check Co-integration among the selected model. Long Run estimates are extracted using FMOLS. The results of long run estimates of FMOLS suggest that Homicide Crime Rate has a negative relation with Household Consumption expenditure and Human Development Index but positive with Mobile Phone subscriptions, Urban Population and Unemployment in the long run. Hence development, welfare and employment opportunities are necessary to reduce this deviant behavior among mass individuals.Item Evaluating the Impact of Logistics Sector Development on Economic Growth of Pakistan: A Time Series Approach(UMT, Lahore, 2015) Arslan Arif UppalLogistic sector, which is considered as a significant role on countries economic growth and development. Developments in logistic sector facilitate the global trade; increase the competitiveness in countries and its show to be a main determinant of growth and development. Finally, this paper gives the recommendation for the growth of logistics industry and economic growth in Pakistan. This paper used ARDL test method to analyze the relation between GDP growth and logistic sector development in Pakistan .This study indicates many variables in logistic sector, 13 variables are used in factor index to make 4 indexes of transportation (road, sea, air, and rail). Long run results shows that one sector of Pakistan i.e. railways have negative effect to GDP and other sectors like Pakistan road, sea and air have positive effect to GDP the short run results shows that only one sector of Pakistan i.e. air port have positive effect to GDP.This research shows that the development of logistic sector is promoting the economic growth in Pakistan.Item Can Stock Market Development put chains on Inflation: A Panel Cointegration Analysis on SAARC Countries(UMT, Lahore, 2015) Ibrahim SuleimanItem Impact of Flow of Investment, terms of Trade and Human Capital on Economic Growth(UMT, Lahore, 2015) Faiza KalsoomEconomic growth is an increase in capacity of an economy to produce more goods and service over time that is necessary for the development of an economy. This study attempts to analyze the impact of lack of savings and investments, lack of goods and services and Human capital on economic growth of Pakistan during the period 1980-2013. These variables are regressed on GDP and OLS technique has been used. As in OLS all variables cannot be stationary at first difference so we applied Johansen Co-integration approach to get stationary at first difference and to check relationship among the variables. The results find out that foreign direct investment and human capital are positively related to the economic growth whereas volatility in terms of trade has a negative relationship with the economic growth of Pakistan. Government should focus on these factors to promote economic growth by spending on human capital and infrastructure should be improved to attract FDI.Item What Determines Unemployment? Time Series Evidence from Pakistan(UMT, Lahore, 2015) Bakhtawar IjazUnemployment is a standout amongst the most critical issues in macroeconomics. Unemployment makes numerous financial and social issues in the economy. This is predictable to address this issue by method for recognizing the reasons which impact the level of employment. This paper decides the variables that impact the employment level in Pakistan. Five critical autonomous variables are chosen as determinants which include urban population, Gini coefficient, GDP per capita, financial instability and trade. This study discovered the determinants of unemployment by concerning the ARDL (Autoregressive Distributed Lag) bound technique to manage investigate co-integration for long run and ECM (error correction method) for short run correlation using the time arrangement data from 1972 to 2013.The unit root issue has been handled by ADF (Augmented Dickey Fuller) and PP unit root test. The outcomes show that unemployment has positive relation with urban population, Gini coefficient and financial instability. While it has negative relation with GDP per capita. Also, trade indicating both the negative and positive relation with unemployment in different scenario. The urban populace as offer of total populace is essentially growing unemployment as time goes on, while, it diminishes unemployment in the short run. The subject of this study is to investigate the possible outcomes to avoid any further addition in unemployment level and if possible to diminish the pay income inequalities in Pakistan so that advantages of development are fairly circulated to all areas of the population.Item Factors Affecting the Public Debt: Time Series Analysis of Pakistan(UMT, Lahore, 2015) Hina RasoolThe modest level, debt recovers benefit and increases growth. A high level debt can be harmful. How does debt move in relation to its determinants will lecture this query using a new dataset that include the budget deficit, debt servicing, real effective exchange rate, and GDP per capita. Currently, Pakistan is suffering from a severe debt-trap. Pakistan has loaned out a bulky amount of debt from the external sources together with large amounts of borrowings from World Bank, IMF and some developed nations are still continued. Whereas, a huge quantity from the established borrowings has been used for repayment of debt and the interest on it. Debt servicing has enlarged the budget deficit that in turn generates the necessity of extra borrowing. The external debt of Pakistan seem to be the reason of all the calamities bothering the budget. Even the IMF and World Bank papers on Pakistan reflect the external debt liability is a main cause of all the troubles in the economy. The aim of the article is some important factor contributing to the nexus of debt in Pakistan from 1976 to 2013. The direct implicate is that countries with high debt must act quickly and decisively to address their fiscal problems. Budget Deficit, Debt servicing and GDP per capita have significant relation with Total Debt and Internal Debt in long run with a positive correlation. Whereas, Real External Debt Stock is reflecting a significant & positive correlation with Budget Deficit, Debt servicing, GDP per capita and Real Effective Exchange Rate except Budget Deficit.Item Economic Impact of Climate Change on the Major Agricultural Crops in Punjab(UMT, Lahore, 2015) Shukrillo AbdukayumovThe Economic Impact of Climate Change on the Major Agricultural Crops in Punjab is analyzed from 1970 to 2010, located in Punjab region of Pakistan. For data requisites used twelve districts of Punjab region. The study used panel data and preferred panel data over time series due to unavailability of data requisites. Temperature minimum deviations, temperature maximum deviations, precipitation deviations, number on tubewells, sale of fertilizers, agricultural prices and population density were used to measure the impact upon productivity of wheat and productivity of cotton. Study found significant impact of temperature maximum deviations, precipitation deviations, population density on wheat productivity in the long run while in short run only temperature maximum deviations has significant impact on wheat productivity. In case of cotton productivity model the study found significant impact of number of tubewells, cotton price, and population density on cotton productivity in the long run and in short run study found significant impact of precipitation on cotton productivity.