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The Great Chinese Famine (1959–1961) and farm households’ adoption of technology: evidence from China

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  • Xinyan Hu
  • Xiangpo Chen
  • Siqi Yao
  • Gaiqing Zhang

Abstract

The diffusion of new technology is an important driver of agricultural development, especially in the developing world. In this research, we follow the persistence of major historical events, employing a difference‐in‐differences method to carefully examine the long‐term effect of China’s 1959–1961 famine on farm households’ current decisions to adopt technology. Further, we combine a mediating regression procedure with a bootstrap method to explore the mechanism of impact in this relationship. Overall, this study provides strong empirical evidence that the Great Famine attenuated technology adoption; moreover, a 1% increase in exposure to famine in childhood and adolescence resulted in a 0.137% decrease in the probability of technology adoption when controlling for village dummies. An analysis of mediating effects reveals that risk preferences account for the channel of famine persistence.

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  • Xinyan Hu & Xiangpo Chen & Siqi Yao & Gaiqing Zhang, 2022. "The Great Chinese Famine (1959–1961) and farm households’ adoption of technology: evidence from China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 93-117, January.
    • Handle: RePEc:bla:ajarec:v:66:y:2022:i:1:p:93-117
    DOI: 10.1111/1467-8489.12444
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    1. Remi Jedwab & Noel D. Johnson & Mark Koyama, 2019. "Negative shocks and mass persecutions: evidence from the Black Death," Journal of Economic Growth, Springer, vol. 24(4), pages 345-395, December.
    2. Esther Duflo & Michael Kremer & Jonathan Robinson, 2011. "Nudging Farmers to Use Fertilizer: Theory and Experimental Evidence from Kenya," American Economic Review, American Economic Association, vol. 101(6), pages 2350-2390, October.
    3. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 631-645.
    4. Gollin, Douglas, 2010. "Agricultural Productivity and Economic Growth," Handbook of Agricultural Economics, in: Robert Evenson & Prabhu Pingali (ed.), Handbook of Agricultural Economics, edition 1, volume 4, chapter 73, pages 3825-3866, Elsevier.
    5. Stefan Dercon, 0. "Fate and Fear: Risk and Its Consequences in Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 17(suppl_2), pages -127.
    6. Mao, Hui & Zhou, Li & Ifft, Jennifer & Ying, RuiYao, 2019. "Risk preferences, production contracts and technology adoption by broiler farmers in China," China Economic Review, Elsevier, vol. 54(C), pages 147-159.
    7. Fafchamps, Marcel, 2010. "Vulnerability, risk management and agricultural development," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 5(1), pages 1-18, September.
    8. Whatley, Warren C., 2018. "The gun-slave hypothesis and the 18th century British slave trade," Explorations in Economic History, Elsevier, vol. 67(C), pages 80-104.
    9. Yonas Alem & Mintewab Bezabih & Menale Kassie & Precious Zikhali, 2010. "Does fertilizer use respond to rainfall variability? Panel data evidence from Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 41(2), pages 165-175, March.
    10. GlennW. Harrison & StevenJ. Humphrey & Arjan Verschoor, 2010. "Choice under Uncertainty: Evidence from Ethiopia, India and Uganda," Economic Journal, Royal Economic Society, vol. 120(543), pages 80-104, March.
    11. Ulrike Malmendier & Stefan Nagel, 2011. "Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 373-416.
    12. Bhattamishra, Ruchira & Barrett, Christopher B., 2010. "Community-Based Risk Management Arrangements: A Review," World Development, Elsevier, vol. 38(7), pages 923-932, July.
    13. Adnan, Nadia & Nordin, Shahrina Md & Ali, Murad, 2018. "A solution for the sunset industry: Adoption of Green Fertiliser Technology amongst Malaysian paddy farmers," Land Use Policy, Elsevier, vol. 79(C), pages 575-584.
    14. Feng, Xunan & Johansson, Anders C., 2018. "Living through the Great Chinese Famine: Early-life experiences and managerial decisions," Journal of Corporate Finance, Elsevier, vol. 48(C), pages 638-657.
    15. Jason R.V. Franken & Joost M.E. Pennings & Philip Garcia, 2014. "Measuring the effect of risk attitude on marketing behavior," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 525-535, September.
    16. Kibrom A. Abay & Guush Berhane & Alemayehu Seyoum Taffesse & Kibrewossen Abay & Bethelhem Koru, 2018. "Estimating Input Complementarities with Unobserved Heterogeneity: Evidence from Ethiopia," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 495-517, June.
    17. Steven J. Humphrey & Arjan Verschoor, 2004. "Decision-making Under Risk among Small Farmers in East Uganda," Journal of African Economies, Centre for the Study of African Economies, vol. 13(1), pages 44-101, March.
    18. Christine M. Moser & Christopher B. Barrett, 2006. "The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 373-388, November.
    19. Spiegel, A. & Britz, W. & Finger, R., 2018. "Risk, risk aversion and agricultural technology adoption a combination of real options and stochastic dominance," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277421, International Association of Agricultural Economists.
    20. Liu, Elaine M. & Huang, JiKun, 2013. "Risk preferences and pesticide use by cotton farmers in China," Journal of Development Economics, Elsevier, vol. 103(C), pages 202-215.
    21. Liu, Elaine M. & Huang, JiKun, 2013. "Risk preferences and pesticide use by cotton farmers in China," Journal of Development Economics, Elsevier, vol. 103(C), pages 202-215.
    22. Xin Meng & Nancy Qian, 2009. "The Long Term Consequences of Famine on Survivors: Evidence from a Unique Natural Experiment using China's Great Famine," NBER Working Papers 14917, National Bureau of Economic Research, Inc.
    23. Attila Ambrus & Erica Field & Robert Gonzalez, 2020. "Loss in the Time of Cholera: Long-Run Impact of a Disease Epidemic on the Urban Landscape," American Economic Review, American Economic Association, vol. 110(2), pages 475-525, February.
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