{"title":"南盟地区双边农业贸易的决定因素:重力模型方法","authors":"T. Nengroo, I. Shah, Md. Sarafraz Equbal","doi":"10.54694/stat.2022.40","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":43106,"journal":{"name":"Statistika-Statistics and Economy Journal","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determinants of Bilateral Agricultural Trade of SAARC Region: a Gravity Model Approach\",\"authors\":\"T. Nengroo, I. Shah, Md. Sarafraz Equbal\",\"doi\":\"10.54694/stat.2022.40\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":43106,\"journal\":{\"name\":\"Statistika-Statistics and Economy Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2023-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistika-Statistics and Economy Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54694/stat.2022.40\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistika-Statistics and Economy Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54694/stat.2022.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
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.