DETERMINANTS OF VIRTUAL WATER TRADE OF CEREAL CROPS IN SAUDI ARABIA

Y. Alamri; M. Reed; S. Saghaian

doi:10.36103/ijas.v51i4.1090

Article Details

DETERMINANTS OF VIRTUAL WATER TRADE OF CEREAL CROPS IN SAUDI ARABIA

Authors:

Y. Alamri | M. Reed | S. Saghaian

Publisher:

University of Baghdad

Journal:

IRAQI JOURNAL OF AGRICULTURAL SCIENCES Vol.51 Issue 4, pp.0-0

Document Type:

Article

Publication Date:

8/2020

Document Language:

English

Document ID (Org No.):

2001372592

pISSN:

2410-0862

DOI:

10.36103/ijas.v51i4.1090

Keywords:

Abstract:

 In this research, we used a gravity model to investigate whether water scarcity variables influence agricultural trade of cereal crops for Saudi Arabia. We compare the OLS, Fixed effects, Random effects, and Poisson Pseudo-Maximum Likelihood (PPML) estimators to determine the best model. The AIC, and multicollinearity, heteroskedasticity, and autocorrelation tests assist in determining estimation procedures and the final model. We cluster the errors by distance to improve the specific country effect variables, such as economic mass. We find that water-related variables influence virtual water imports of cereals, millet, corn, barely, and sesame.

Article Details

DETERMINANTS OF VIRTUAL WATER TRADE OF CEREAL CROPS IN SAUDI ARABIA

Authors:

Y. Alamri | M. Reed | S. Saghaian

Publisher:

University of Baghdad

Journal:

IRAQI JOURNAL OF AGRICULTURAL SCIENCES Vol.51 Issue 4, pp.0-0

Document Type:

Article

Publication Date:

8/2020

Document Language:

English

Document ID (Org No.):

2001372592

pISSN:

2410-0862

DOI:

10.36103/ijas.v51i4.1090

imports

gravity model

panel data

PPML

FE

RE

Issues

Article Details

DETERMINANTS OF VIRTUAL WATER TRADE OF CEREAL CROPS IN SAUDI ARABIA

Authors: Y. Alamri | M. Reed | S. Saghaian

Publisher: University of Baghdad

Journal: IRAQI JOURNAL OF AGRICULTURAL SCIENCES Vol.51 Issue 4, pp.0-0

Document Type: Article

Publication Date: 8/2020

Document Language: English

Document ID (Org No.): 2001372592

pISSN: 2410-0862

DOI: 10.36103/ijas.v51i4.1090

imports

gravity model

panel data

PPML

FE

RE

Issues

Authors:

Y. Alamri | M. Reed | S. Saghaian

Publisher:

University of Baghdad

Journal:

IRAQI JOURNAL OF AGRICULTURAL SCIENCES Vol.51 Issue 4, pp.0-0

Document Type:

Article

Publication Date:

8/2020

Document Language:

English

Document ID (Org No.):

2001372592

pISSN:

2410-0862

DOI:

10.36103/ijas.v51i4.1090