On the accuracy of official Chinese crop production data: Evidence from biophysical indexes of net

doi:10.1073/pnas.1919850117

	On the accuracy of official Chinese crop production data: Evidence from biophysical indexes of net
	Liu, Gengyuan 1,2; Wang, Xueqi 1; Baiocchi, Giovanni 3,4; Casazza, Marco 5; Meng, Fanxin 1,6; Cai, Yanpeng 7; Hao, Yan 1,2; Wu, Feng 8; Yang, Zhifeng 1,7
刊名	PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
	2020-10-13
卷号	117 期号:41 页码:25434-25444
关键词	HANPP China statistical data misreporting crop production
ISSN号	0027-8424
DOI	10.1073/pnas.1919850117
通讯作者	Liu, Gengyuan(liugengyuan@bnu.edu.cn) ; Baiocchi, Giovanni(baiocchi@umd.edu) ; Yang, Zhifeng(zfyang@bnu.edu.cn)
英文摘要	With rapid economic growth and urbanization, self-sufficiency in crop production has become central to China's agriculture policy. Accurate crop production statistics are essential for research, monitoring, and planning. Although researchers agree that China's statistical authority has considerably modernized over time, China's economic statistics have still been viewed as unreliable and often overstated to meet growth targets at different administrative levels. Recent increases in crop production reported by national statistics have also come under increasing scrutiny. This paper investigates crop production data quality from a planetary boundary perspective-comparing net primary production (NPP) harvested obtained from national statistics with satellite-driven NPP estimates that are supported by detailed observation of land cover, combined with observations on physical factors that limit plant growth. This approach provides a powerful means to check the plausibility of China's grain production statistics at different administrative levels that can generate insights about their discrepancies and can contribute to improved crop production measurements. We find some evidence of potential misreporting problems from the lower administration level where the risk of manipulation of statistics is higher. We also find problems from provincial-level major grain producers. These values can also affect the national totals. Although the numbers are affected by large uncertainties, we find that improving the spatial resolution of key agricultural parameters can greatly improve the reliability of the indicator that in turn can help improve data quality. More reliable production data will be vital for relevant research and provide better insights into food security problems, the carbon cycle, and sustainable development.
资助项目	Innovative Research Group of the China National Natural Science Foundation[51721093] ; Fund for Sino-Italian Cooperation of the China Natural Science Foundation[71861137001] ; National Key R&D Program of China[2016YFC0502800] ; 111 Project[B17005]
WOS关键词	GROSS PRIMARY PRODUCTION ; HUMAN APPROPRIATION ; QUANTITATIVE ASSESSMENT ; BIOMASS ACCUMULATION ; ECONOMIC-GROWTH ; PADDY RICE ; QUALITY ; YIELD ; SUGARCANE ; PATTERNS
WOS研究方向	Science & Technology - Other Topics
语种	英语
出版者	NATL ACAD SCIENCES
WOS记录号	WOS:000642213900001
资助机构	Innovative Research Group of the China National Natural Science Foundation ; Fund for Sino-Italian Cooperation of the China Natural Science Foundation ; National Key R&D Program of China ; 111 Project
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/162664]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu, Gengyuan; Baiocchi, Giovanni; Yang, Zhifeng
作者单位	1.Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100875, Peoples R China 2.Beijing Engn Res Ctr Watershed Environm Restorat, Beijing 100875, Peoples R China 3.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA 4.Univ Maryland, Dept Econ, College Pk, MD 20742 USA 5.Univ Naples Parthenope, Dept Engn, I-80143 Naples, Italy 6.Yale Univ, Sch Forestry & Environm Studies, New Haven, CT 06511 USA 7.Guangdong Univ Technol, Inst Environm & Ecol Engn, Guangzhou 510006, Peoples R China 8.Chinese Acad Sci, Ctr Chinese Agr Policy, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Liu, Gengyuan,Wang, Xueqi,Baiocchi, Giovanni,et al. On the accuracy of official Chinese crop production data: Evidence from biophysical indexes of net[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2020,117(41):25434-25444.
APA	Liu, Gengyuan.,Wang, Xueqi.,Baiocchi, Giovanni.,Casazza, Marco.,Meng, Fanxin.,...&Yang, Zhifeng.(2020).On the accuracy of official Chinese crop production data: Evidence from biophysical indexes of net.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,117(41),25434-25444.
MLA	Liu, Gengyuan,et al."On the accuracy of official Chinese crop production data: Evidence from biophysical indexes of net".PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 117.41(2020):25434-25444.