An Exploration in to the Causal Relationship between Performance Inputs and Traffic of Major Ports in India: A Panel Data Analysis

T. Rajasekar; Malabika Deo; Rong Ke

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An Exploration in to the Causal Relationship between Performance Inputs and Traffic of Major Ports in India: A Panel Data Analysis

机译：印度主要港口的绩效投入与交通之间因果关系的探索：面板数据分析

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The present research work started with a very simple question: Is there a long run relationship and causality between port performance inputs and port traffic of major ports in India? The study is try to evaluate the long run relationship and causality between port performance inputs and port traffic with the sophisticated panel data models such as unit root, cointegration, error correction model, granger causality, impulse response function and variance decomposition tests of 12 major ports in India over the period of 1993 to 2012. Based on the analysis it is found that there exists long run relationship and causality between port performance inputs and port traffic. The study concluded that the evidence of long run relationship between performance inputs and total traffic, and causality of pre-berthing waiting time and operating expenses unidirectional with port traffic indicate that the major factors influencing port traffic. Over all the results imply that port performance variables that are having the co-integrating relationship with port traffic should be given priority for increasing the port traffic of major ports in India.

机译：当前的研究工作从一个非常简单的问题开始：印度主要港口的港口绩效输入与港口流量之间是否存在长期的关系和因果关系？该研究试图通过复杂的面板数据模型（如单位根，协整，纠错模型，格兰杰因果关系，冲激响应函数和12个主要港口的方差分解测试）评估港口性能输入与港口交通之间的长期关系和因果关系。在印度于1993年至2012年期间。根据分析发现，港口绩效输入与港口交通之间存在长期关系和因果关系。研究得出的结论是，性能输入与总流量之间存在长期关系的证据，以及泊位等待时间的因果关系和港口交通单向的运营费用，表明影响港口交通的主要因素。总体而言，与印度港口流量具有协整关系的港口性能变量应优先考虑增加印度主要港口的港口流量。

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《International Journal of Econometrics and Financial Management》 |2014年第2期|共10页
作者
T. Rajasekar; Malabika Deo; Rong Ke;
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An Exploration in to the Causal Relationship between Performance Inputs and Traffic of Major Ports in India: A Panel Data Analysis

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