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Time discounting and implications for Chinese farmer responses to an upward trend in precipitation

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  • Ding, Yihong
  • Balcombe, Kelvin
  • Robinson, Elizabeth

Abstract

This paper studies Chinese grape growers’ time discounting and its implications for the adoption of technology that can reduce the negative effects of increasing precipitation. Using primary data collected in Xinjiang Province, we undertook a contingent valuation of rain covers that protect fruit from rain and estimated a discounted utility model using these data. Using a hierarchical Bayesian approach, we find that local grape growers discount the future very heavily, with a discount rate of 0.17 per year, which is almost four times higher than the Chinese market interest rate. Farmers also tend to underestimate the benefits of adopting covers, with their purchase decisions appearing to largely depend on their past actual losses rather than future anticipated losses. These findings have broader implications for policies promoting proactive adaptation in response to likely increased rainfall in the region. Targeting farmers who give lower weight to events far off in the future and understanding that many farmers may tend only to make adoption decisions that have strong short-term benefits could improve the efficacy of climate policies that target agricultural technologies.

Suggested Citation

  • Ding, Yihong & Balcombe, Kelvin & Robinson, Elizabeth, 2021. "Time discounting and implications for Chinese farmer responses to an upward trend in precipitation," LSE Research Online Documents on Economics 113546, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:113546
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    1. Richard G. Newell & Juha Siikamäki, 2015. "Individual Time Preferences and Energy Efficiency," American Economic Review, American Economic Association, vol. 105(5), pages 196-200, May.
    2. Jerrod M Penn & Wuyang Hu, 2018. "Understanding Hypothetical Bias: An Enhanced Meta-Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1186-1206.
    3. Weber, Bethany J. & Chapman, Gretchen B., 2005. "The combined effects of risk and time on choice: Does uncertainty eliminate the immediacy effect? Does delay eliminate the certainty effect?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 96(2), pages 104-118, March.
    4. Ashley Langer & Derek Lemoine, 2022. "Designing Dynamic Subsidies to Spur Adoption of New Technologies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 9(6), pages 1197-1234.
    5. W. Neil Adger, 2003. "Social Capital, Collective Action, and Adaptation to Climate Change," Economic Geography, Taylor & Francis Journals, vol. 79(4), pages 387-404, October.
    6. Min Gong & David Krantz & Elke Weber, 2014. "Why Chinese discount future financial and environmental gains but not losses more than Americans," Journal of Risk and Uncertainty, Springer, vol. 49(2), pages 103-124, October.
    7. Haizheng Li & Yunling Liang & Barbara M. Fraumeni & Zhiqiang Liu & Xiaojun Wang, 2013. "Human Capital In China, 1985–2008," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(2), pages 212-234, June.
    8. Olivier De Groote & Frank Verboven, 2019. "Subsidies and Time Discounting in New Technology Adoption: Evidence from Solar Photovoltaic Systems," American Economic Review, American Economic Association, vol. 109(6), pages 2137-2172, June.
    9. Glenn W. Harrison & Morten I. Lau & Melonie B. Williams, 2002. "Estimating Individual Discount Rates in Denmark: A Field Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1606-1617, December.
    10. Quang Nguyen & Colin Camerer & Tomomi Tanaka, 2010. "Risk and Time Preferences Linking Experimental and Household Data from Vietnam," Post-Print halshs-00547090, HAL.
    11. Mintewab Bezabih, 2009. "Heterogeneous Risk Preferences, Discount Rates and Land Contract Choice in Ethiopia," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 402-418, June.
    12. Maribeth Coller & Melonie Williams, 1999. "Eliciting Individual Discount Rates," Experimental Economics, Springer;Economic Science Association, vol. 2(2), pages 107-127, December.
    13. Eric Duquette & Nathaniel Higgins & John Horowitz, 2012. "Farmer Discount Rates: Experimental Evidence," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(2), pages 451-456.
    14. Oecd, 2009. "Climate Change and Africa," OECD Journal: General Papers, OECD Publishing, vol. 2009(1), pages 5-35.
    15. Michal Bauer & Julie Chytilová, 2013. "Women, Children and Patience: Experimental Evidence from Indian Villages," Review of Development Economics, Wiley Blackwell, vol. 17(4), pages 662-675, November.
    16. Alpizar, Francisco & Carlsson, Fredrik & Naranjo, Maria A., 2011. "The effect of ambiguous risk, and coordination on farmers' adaptation to climate change — A framed field experiment," Ecological Economics, Elsevier, vol. 70(12), pages 2317-2326.
    17. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    18. Ngoma, Hambulo & Mason-Wardell, Nicole M. & Samboko, Paul C. & Hangoma, Peter, 2019. "Switching Up Climate-Smart Agriculture Adoption: Do 'Green' Subsidies, Insurance, Risk Aversion and Impatience Matter," Feed the Future Innovation Lab for Food Security Policy Research Papers 303524, Michigan State University, Department of Agricultural, Food, and Resource Economics, Feed the Future Innovation Lab for Food Security (FSP).
    19. B. Fosu-Mensah & P. Vlek & D. MacCarthy, 2012. "Farmers’ perception and adaptation to climate change: a case study of Sekyedumase district in Ghana," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 14(4), pages 495-505, August.
    20. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    21. Salvatore Di Falco & Felice Adinolfi & Martina Bozzola & Fabian Capitanio, 2014. "Crop Insurance as a Strategy for Adapting to Climate Change," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 485-504, June.
    22. Marcel Boumans & Matthias Klaes, 2013. "Introduction," Chapters, in: Marcel Boumans & Matthias Klaes (ed.), Mark Blaug: Rebel with Many Causes, chapter 1, pages 1-8, Edward Elgar Publishing.
    23. Hallegatte, Stephane & Shah, Ankur & Lempert, Robert & Brown, Casey & Gill, Stuart, 2012. "Investment decision making under deep uncertainty -- application to climate change," Policy Research Working Paper Series 6193, The World Bank.
    24. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
    25. Ngoma, Hambulo & Mason-Wardell, Nicole M. & Samboko, Paul C. & Hangoma, Peter, 2019. "Switching Up Climate-Smart Agriculture Adoption: Do 'Green' Subsidies, Insurance, Risk Aversion and Impatience Matter?," Feed the Future Innovation Lab for Food Security Policy Research Papers 303060, Michigan State University, Department of Agricultural, Food, and Resource Economics, Feed the Future Innovation Lab for Food Security (FSP).
    26. Brian Roach & Kevin J. Boyle & Michael Welsh, 2002. "Testing Bid Design Effects in Multiple-Bounded, Contingent-Valuation Questions," Land Economics, University of Wisconsin Press, vol. 78(1), pages 121-131.
    27. Sabine Liebenehm & Hermann Waibel, 2014. "Simultaneous Estimation of Risk and Time Preferences among Small-scale Cattle Farmers in West Africa," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1420-1438.
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    More about this item

    Keywords

    China; contingent valuation; grape; hierarchical Bayesian approach; increased rainfall; technology adoption; time discounting;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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