南盟地区双边农业贸易的决定因素:重力模型方法

IF 0.3 Q4 ECONOMICS

Statistika-Statistics and Economy Journal Pub Date : 2023-06-16 DOI:10.54694/stat.2022.40

T. Nengroo, I. Shah, Md. Sarafraz Equbal

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引用次数: 0

摘要

南亚区域合作联盟（南盟）区域是世界农业贸易的重要参与者。由于该地区有机会增加农业生产，再加上全球需求的增长，它们在加强全球农业贸易中的地位方面具有巨大潜力。为了发现南盟农业贸易模式的潜力，本文考察了2000年至2019年双边农产品出口的决定因素。重力模型采用泊松伪极大似然（PMML）技术进行估计，包括面板数据的零贸易流。结果证实了出口国内生产总值（GDP）、进口国内生产总值、Broder、通用语言、南亚自由贸易区（SAFTA）和印度-斯里兰卡自由贸易协定（ISFTA）对南盟地区双边农业贸易的积极和显著影响。另一方面，距离和发展水平对双边农业贸易产生了重大负面影响。最后，研究表明，双边汇率的影响微乎其微。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Determinants of Bilateral Agricultural Trade of SAARC Region: a Gravity Model Approach

The South Asian Association for Regional Cooperation (SAARC) region is an important player in the world agriculture trade. They have vast potential to strengthen their position in global agricultural trade due to theregion's opportunities to increase agricultural production combined with growing global demand. To discover the SAARC potential of agricultural trade patterns, the present paper examines the determinants of bilateral agricultural exports from 2000 to 2019. The gravity model was estimated by employing the Poisson Pseudo Maximum Likelihood (PMML) technique, including zero trade flows for panel data. The results confirm the positive and significant impact of exporter gross domestic product (GDP), importer GDP, Broder, common language, South Asian Free Trade Area (SAFTA), and India-Sri Lanka Free Trade Agreement (ISFTA) on bilateral agricultural trade inthe SAARC region. On the other hand, distance and development levels significantly negatively impact bilateral agricultural trade. Lastly, the study showed an insignificant impact of the bilateral exchange rate.

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来源期刊

Statistika-Statistics and Economy Journal ECONOMICS-

CiteScore

0.60

自引率

0.00%

发文量

审稿时长

24 weeks