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An Empirical Analysis of the Impact of Agricultural Product Price Fluctuations on China’s Grain Yield

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 29 May 2017Publisher:MDPI AGJournal:Sustainability, volume 9, page 906 (eissn: 2071-1050,

Authors: Hualin Xie; Bohao Wang;

doi: 10.3390/su9060906

An Empirical Analysis of the Impact of Agricultural Product Price Fluctuations on China’s Grain Yield

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Abstract

In recent years, food security, especially supply, has been an important issue in China’s agricultural production. The stability of grain prices is related to the stability and development of the grain market. Based on agricultural production data from 1970 to 2015, this paper explores the influence of agricultural product price fluctuation on grain production by using the cobweb theory and vector error correction (VEC) model. The results show that changes in grain production in China are affected by fluctuations in agricultural product prices, that the production change lags behind the price change, and that there is a long-term equilibrium relationship between grain yield and agricultural product price. A Granger causality test shows that the change in agricultural product price is the Granger cause of grain yield change.

Related Organizations

Jiangxi University of Finance and Economics
China (People's Republic of)
Jiangxi University of Finance and Economics
China (People's Republic of)

Keywords

China, Environmental effects of industries and plants, grain yield, VEC model, cobweb theory, TJ807-830, food security, TD194-195, Renewable energy sources, agricultural product price; grain yield; cobweb theory; VEC model; food security; China, Environmental sciences, GE1-350, agricultural product price

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	33
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%