印度主要港口绩效投入与交通流量因果关系的探讨:面板数据分析

T. Rajasekar, Malabika Deo, Rongzhe Ke
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引用次数: 6

摘要

目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投入与港口交通之间是否存在长期关系和因果关系?本文采用单位根、协整、误差修正模型、格兰杰因果关系、脉冲响应函数和方差分解检验等复杂的面板数据模型,对1993 - 2012年印度12个主要港口的港口绩效输入与港口流量之间的长期关系和因果关系进行了评价。通过分析发现,港口绩效投入与港口流量之间存在着长期的因果关系。研究表明,绩效投入与总运量之间存在长期关系,靠泊前等待时间和运营费用与港口交通量单向存在因果关系,表明影响港口交通量的主要因素。总体而言,研究结果表明,要增加印度主要港口的港口交通量,应优先考虑与港口交通量协整关系的港口绩效变量。
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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
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.
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