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Journal of Integrative Agriculture  2020, Vol. 19 Issue (12): 2877-2890    DOI: 10.1016/S2095-3119(20)63390-1
Section 1: Crop production and marketing Advanced Online Publication | Current Issue | Archive | Adv Search |
The short- and long-term impacts of the COVID-19 pandemic on family farms in China-Evidence from a survey of 2 324 farms
DU Zhi-xiong1, LAI Xiao-dong2, LONG Wen-jin3, GAO Liang-liang1
1 Rural Development Institute, Chinese Academy of Social Sciences, Beijing 100732, P.R.China
2 Graduate School, University of Chinese Academy of Social Sciences, Beijing 102488, P.R.China
3 College of Economics and Management, China Agricultural University, Beijing 100083, P.R.China
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Abstract  
Family farms are considered the most desirable form of Chinese agriculture.  Studies on the risk management of family farms are rare, while the COVID-19 pandemic provides an opportunity to explore how family farms respond to risks.  Based on an online survey of 2 324 family crop farms, we examine for the first time the short-term impact (immediate impact or short-term fluctuation, and farms’ instantaneous response) and long-term impact (on farms’ future or long-term production) of the COVID-19 pandemic on family farms’ production and operation in rural China.  By using factor analysis and dummy variable regression, we find that the severity of the pandemic, the lockdown of the village, and farmers’ knowledge of the pandemic contribute significantly to the short-term impact, but not on the long-term impact.  Farmers’ characteristics such as gender, age, and education are not related to the short-term impact, but family farms with male owners or owners with high school education or below are more likely to be diversified and large-scale.  The number of years the farm has existed for and agricultural insurance affect both short-term and long-term impacts.  We suggest that the government needs to pay more attention to stability-enhancing policies, the market environment, vocational training and the agricultural insurance market.
Keywords:  family farms        COVID-19        agricultural risk        China  
Received: 26 May 2020   Accepted:
Fund: This study received supports from the Cultural Celebrities of “Four Batches” Talents Project, China, the National Social Science Fund of China (17BJY010, 17CJY032 and 18CJY032) and the National Natural Science Foundation of China (71803045).
Corresponding Authors:  Correspondence GAO Liang-liang, E-mail: gaoll@cass.org.cn   

Cite this article: 

DU Zhi-xiong, LAI Xiao-dong, LONG Wen-jin, GAO Liang-liang. 2020. The short- and long-term impacts of the COVID-19 pandemic on family farms in China-Evidence from a survey of 2 324 farms. Journal of Integrative Agriculture, 19(12): 2877-2890.

Bai J, Ng S. 2002. Determining the number of factors in approximate factor models. Econometrica, 70, 191–221.
Barrett N S, Geraldine G, Hart T P. 1974. A factor analysis of quarterly price and wage behavior for U. S. manufacturing. Quarterly Journal of Economics, 88, 385–408.
Cai Y P, Du Z X. 2016. Analysis on the ecological consciousness of the production behavior of family farm and its influencing factors: Based on the national family farm monitoring data. Chinese Rural Economy, (12), 33–45. (in Chinese)
Cattell R B. 1978. The Scientific Use of Factor Analysis in Behavior and Life Sciences. Plenum, New York. pp. 273–320.
Dercon S. 1996. Risk, crop choice, and savings: Evidence from Tanzania. Economic Development and Cultural Change, 44, 485–513.
Du Z X. 2018a. Family farm is at the core of agricultural industry revitalization. Management and Administration on Rural Cooperative, (5), 22–23. (in Chinese)
Du Z X. 2018b. The development of family farm and the construction of agricultural production and management system in China. China Development Observation, Z1, 43–46. (in Chinese)
Du Z X, Liu W X. 2017. Study on the dual subject status of operation and service of family farm. Theoretical Investigation, (2), 78–83. (in Chinese)
Gao L L. 2020. Characteristics of land composition and usage of the crop family farms: Based on a unique 5-year consecutive family farm monitoring dataset (2014–2018). Management World, 36, 181–195. (in Chinese)
Gao L L, Du Z X, Tan H Y. 2020. Employment behavior and characteristics of family farms: Based on national monitoring data. Reform, (4), 148–158. (in Chinese)
He N. 2018. The external impact of household decision-making and adjustment of the system. Journal of Guizhou University of Finance and Economics, (4), 80–89. (in Chinese)
Ingram B F, Neumann G R. 2006. The returns to skill. Labour Economics, 13, 35–59.
Liu C, Deng M, Ma G W. 2019. Study on the risk identification and prevention of family farm management. Journal of Soochow University (Philosophy & Social Science Edition), 40, 102–110. (in Chinese)
Liu W X, Du Z X, Gao L L. 2018. The Impact of the corn purchasing and storage system reform on the participation of family farms in cooperatives: An empirical study based on the monitoring data on national family farms. Chinese Rural Economy, (4), 13–27. (in Chinese)
NBSC (National Bureau of Statistics of China). 2020. China Statistic Yearbook 2019. China Statistics Press, Beijing. (in Chinese)
Pukthuanthong K, Roll R. 2009. Global market integration: An alternative measure and its application. Journal of Financial Economics, 94, 214–232.
StataCorp. 2019. Stata Multivariate Statistics Reference Manual Release 16. Stata Press, Texas.
Valdivia C, Dunn E, Jetté C. 1996. Diversification as a risk management strategy in an Andean agropastoral community. American Journal of Agricultural Economics, 78, 1329–1334.
Wooldridge J M. 2016. Introductory Econometrics: A Modern Approach. 6th ed. Cengage Learning, Boston. pp. 205–243.
Xia W W, Du Z X, Gao L L. 2019. Study on the impact of land operational scale on the application of formula fertilization technology by soil testing: Based on the observation from family farm monitoring data. China Land Science, 33, 70–78. (in Chinese)
Zhang Y, Liu W Y. 2016. Analysis of production efficiency and risks of family farm. Issues in Agricultural Economy, 37, 16–21. (in Chinese)
Zou Y Y, Ma G W, Li B H, Tian G S. 2019. Research on influencing factors of management risk cognition of grain family farm in northeastern China. Chinese Journal of Agricultural Resources and Regional Planning, 40, 85–92. (in Chinese)
 
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