A Study of India’s Trade Flows with the ASEAN: Gravity Model Analysis

S. Bharti, Syeedun Nisa
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引用次数: 1

Abstract

This research aims to see how the Association of Southeast Asian Nations Free Trade Agreement (ASEAN FTA) affects the merchandise trade of India. As a research approach, this work employed the gravity model with panel data estimation. The data has been derived from 27 trade partner nations with three key economic blocs for the period 2011 to 2020. Under diagnostic testing, panel data regression was estimated with Ordinary Least Square (OLS), fixed effects and random effect models. The white test applied for heteroskedasticity bias encountered as usual in the OLS method. The random effect model significantly outperforms the fixed effect model in the Hausman Specification test. The result of the Generalized Least Squares (GLS) Random Effect revealed that India’s Gross Domestic Product (GDP) and the GDP of destination countries have a significant impact on overall trade, whereas geographical distance, common official language, common border, landlocked variables show an insignificant result. ASEAN-India FTA (AIFTA) has negative coefficients and an insignificant impact on India’s trade.
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印度与东盟贸易流动研究:重力模型分析
本研究旨在了解东南亚国家联盟自由贸易协定(ASEAN FTA)如何影响印度的商品贸易。本文采用了面板数据估计的重力模型作为研究方法。这些数据来自27个贸易伙伴国,涵盖三个主要经济集团,涵盖2011年至2020年。在诊断检验下,面板数据回归采用普通最小二乘法(OLS)、固定效应和随机效应模型进行估计。白色检验适用于异方差性偏差,通常在OLS方法中遇到。在Hausman规格检验中,随机效应模型显著优于固定效应模型。广义最小二乘(GLS)随机效应的结果显示,印度的国内生产总值(GDP)和目的地国的GDP对整体贸易有显著影响,而地理距离,共同官方语言,共同边界,内陆变量显示不显著的结果。东盟-印度自由贸易协定(AIFTA)对印度贸易的影响为负,且不显著。
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