NDLI: An econometric analysis of major Chinese food crops: An empirical study

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An econometric analysis of major Chinese food crops: An empirical study

Content Provider	Taylor & Francis Online
Author	Jingdong, Luan Rehman, Abdul Zhang, Xibin
Abstract	The basic objective of this study was to investigate and explore the relationship between major food crops of China and their relationship with agricultural gross domestic product (GDP) using an econometric analysis. Agriculture is considered an important sector of the Chinese economy as it accounted for about 10% of GDP. The total agricultural land of China covers 36% of the area of the world. In order to highlight the actual performance of the agricultural production and the output of major food crops, this study explored the relationship between agricultural GDP and the major crops output including wheat, cotton, rice, sugarcane, corn, and tubers in China over the period of 35 years from 1980 to 2015. The time series data were collected from the China Bureau of Statistics, Ministry of Agriculture China and various publications. Crop data were analyzed using the Ordinary Least Square Method and Augmented Dickey Fuller test and results were interpreted using the Johansen co-integration test. Our study found that output of wheat, cotton, sugarcane, corn, and tubers has positive and significant relation with the agricultural gross domestic product of China, while the output of rice crop has a negative but no significant relation with agricultural GDP of China. The study suggests that the Government of China should start new funding schemes for the development and better production of rice crops.
File Format	PDF HTM / HTML
ISSN	23322039
DOI	10.1080/23322039.2017.1323372
Journal	Cogent Economics & Finance
Volume Number	5
Issue Number	1
Language	English
Publisher	Cogent
Publisher Date	2017-05-01
Access Restriction	Open
Subject Keyword	Food crops Agricultural GDP Irrigation Crop production Food consumption OLS
Content Type	Text
Resource Type	Article
Subject	Finance Economics and Econometrics

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