Global Trade Network Analysis to Strategies Pakistan Trade Policy
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Date
2019-12-21
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UMT.Lahore
Abstract
In global trade market competitiveness is a superlative game. Eloquent comparison, peer countries
concert identification, making meaningful insights, identification of competitive challenges,
performance gaps and challenges identification is important for policy makers to stay and drive in
the main trade stream. Understanding the competitiveness is a vibrant and relative process. What
drives competitiveness and how key players evolve over time in a metric and performs in the global
trade market is important to identify the resilience of any country’s trading network. For Pakistan,
paper scrutinizes in detail that the Pakistan’s trade concert in the light of evolving global challenges
and recognizes the key structural issues. Primary objective of this study is to explore the robustness
of Pakistan trade network by using the network analysis methodologies and to familiarize the
readers with the methods incorporate for calculation, Visualization and exploration of the network
and trade statistics. A verity of visualization are presented to descript the topological properties of
trade networks, fabricating and conversing frequently used network statistics and imparting some
precise topics. Network analysis approaches are used as a compelling toll to delineate Bilateral Trade relation among the countries where interdependences matters and trading is considered with
robust heterogeneity and high dimensionality. For the purpose, UN Comtrade Database is explored
along with network analysis methodologies for visualizing the world trade networks to define and
elaborate the topologies of the networks and discussing both binary and weighted versions.
Defining the clusters to identify the countries shares common statistics and to see how the countries
are positioned in relation to others along with understanding the relative size of competitiveness
gaps is the primary implication of this study. In this research work, world trade network is explored
with a combination of network analysis techniques and also familiarizing the reader to some of the
methods used to evaluate, visualize and represent the world trade network data. Different
conception of trade network are presented to describe the topological properties along with
commonly used statistics. We have observed that network analysis techniques are suitable to
describe the trade relations among the countries described by high diversification and the position
of each trading country in the network rendering to its comparative centrality.