Foreign assistance and economic growth: evidence from Pakistan 1972 - 2010

This paper examines the relationship between foreign assistance and economic growth for the period 1972 to 2010. Past literature indicates that due to low domestic resource mobilization Pakistan had to resort to various forms of foreign assistance on a regular basis. Using time series data since 1972 and employing Johansen maximum likelihood procedure we show that foreign assistance in the absence of macroeconomic stabilization and structural reforms has a negative relationship with real per capita GDP. However national savings as percentage of GDP show a positive relationship with real per capita GDP. Pakistan has a long history of dependence on multilateral and bilateral development partners. Over the decades the share of grants as percentage of total foreign assistance has declined forcing the country to procure loans at harsh conditionalties. Given the positive impact of national savings on economic growth there is an urgent need for improving the tax base, promoting instruments that encourage savings culture in the private sector and attracting remittances from abroad. These increased savings would then have to be channelized towards productive investments which in turn require pro market reforms.Foreign assistance, Economic Growth, National Savings

Simulating Vehicle Movement and Multi-Hop Connectivity from Basic Safety Messages

The Basic Safety Message (BSM) is a standardized communication packet that is sent every tenth of a second between connected vehicles using Dedicated Short Range Communication (DSRC). BSMs contain data about the sending vehicle's state, such as speed, location, and the status of the turn signal. Currently, many BSM datasets are available through the connected vehicle testbeds of U.S. Department of Transportation from all over the country. However, without a proper visualization tool, it is not possible to analyze or visually get an overview of the spatio-temporal distribution of the data. With this goal, a web application has been developed which can ingest a raw BSM dataset and display a time-based simulation of vehicle movement. The simulation also displays multi-hop vehicular network connectivity over DSRC. This paper gives details about the application, including an explanation of the multi-hop partitioning algorithm used to classify the vehicles into separate network partitions. A performance analysis for the simulation is included, in which it is suggested that calculating a connectivity matrix with the multi-hop partitioning algorithm is computationally expensive for large number of vehicles