IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v91y2020ics0264837719307550.html
   My bibliography  Save this article

Smallholder farms’ adaptation to the impacts of climate change: Evidence from China’s Loess Plateau

Author

Listed:
  • Tang, Kai
  • Hailu, Atakelty

Abstract

The impacts of climate change on agriculture in developing countries will depend on the extent to which agricultural production in those regions adapts to climate change’s influences. This study uses a whole-farm land use optimisation approach to explore climate change impacts, when including adaptation, on farm profitability, production and associated greenhouse gas (GHG) emissions in the Loess Plateau of northern China. The results show that with adaptation activities, the losses in smallholder farm profitability caused by the climate change could be moderate. Declining rainfall results in land use changes that generate higher on-farm GHG emissions with the most economically beneficial adaptations. With 5 % or 10 % decline in annual rainfall, the introduction of agricultural carbon tax would generate substantial reduction in on-farm GHG emissions. With 30 % rainfall reduction, agricultural carbon tax is not likely to bring about considerable emission reduction. The economically optimised land uses are generally sensitive to potential changes. When rainfall reductions appear, there is a clear trend toward reducing cropping area and transiting to pasture. With 5–10% rainfall reductions, increasing agricultural carbon tax with same rainfall reduction leads to the expansion in cropping enterprises. However, with 30 % rainfall reduction, land allocations are not sensitive to agricultural carbon tax. When with declining annual rainfall, in the optimal enterprises more oats-pasture rotations are employed to reduce wheat dominated rotations. Besides land use patterns, adaptations through altering farm management practices are also necessary. The economically optimised sheep flock would be increased considerably with declining rainfall. Overall, policymakers are suggested to initial more educational schemes to tell smallholder farmers how to make the best use of available adaptation strategies and consider changes in climate when design and implement agricultural policy.

Suggested Citation

  • Tang, Kai & Hailu, Atakelty, 2020. "Smallholder farms’ adaptation to the impacts of climate change: Evidence from China’s Loess Plateau," Land Use Policy, Elsevier, vol. 91(C).
  • Handle: RePEc:eee:lauspo:v:91:y:2020:i:c:s0264837719307550
    DOI: 10.1016/j.landusepol.2019.104353
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837719307550
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2019.104353?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kragt, Marit E. & Pannell, David J. & Robertson, Michael J. & Thamo, Tas, 2012. "Assessing costs of soil carbon sequestration by crop-livestock farmers in Western Australia," Agricultural Systems, Elsevier, vol. 112(C), pages 27-37.
    2. Tang, Kai & Hailu, Atakelty & Kragt, Marit E. & Ma, Chunbo, 2016. "Marginal abatement costs of greenhouse gas emissions: broadacre farming in the Great Southern Region of Western Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 60(3), July.
    3. Morrison, David A. & Kingwell, Ross S. & Pannell, David J. & Ewing, Michael A., 1986. "A mathematical programming model of a crop-livestock farm system," Agricultural Systems, Elsevier, vol. 20(4), pages 243-268.
    4. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    5. Salazar-Espinoza, César & Jones, Sam & Tarp, Finn, 2015. "Weather shocks and cropland decisions in rural Mozambique," Food Policy, Elsevier, vol. 53(C), pages 9-21.
    6. Arslan, Aslihan & Belotti, Federico & Lipper, Leslie, 2017. "Smallholder productivity and weather shocks: Adoption and impact of widely promoted agricultural practices in Tanzania," Food Policy, Elsevier, vol. 69(C), pages 68-81.
    7. Sudarshan Chalise & Dr Athula Naranpanawa, 2016. "Climate change adaptation in agriculture: A general equilibrium analysis of land re-allocation in Nepal," EcoMod2016 9272, EcoMod.
    8. Jianping Huang & Haipeng Yu & Xiaodan Guan & Guoyin Wang & Ruixia Guo, 2016. "Accelerated dryland expansion under climate change," Nature Climate Change, Nature, vol. 6(2), pages 166-171, February.
    9. Zhan-Ming Chen & Stephanie Ohshita & Manfred Lenzen & Thomas Wiedmann & Magnus Jiborn & Bin Chen & Leo Lester & Dabo Guan & Jing Meng & Shiyun Xu & Guoqian Chen & Xinye Zheng & JinJun Xue & Ahmed Alsa, 2018. "Consumption-based greenhouse gas emissions accounting with capital stock change highlights dynamics of fast-developing countries," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    10. Trinh, Thoai Quang & Rañola, Roberto F. & Camacho, Leni D. & Simelton, Elisabeth, 2018. "Determinants of farmers’ adaptation to climate change in agricultural production in the central region of Vietnam," Land Use Policy, Elsevier, vol. 70(C), pages 224-231.
    11. Stefan Wirsenius & Fredrik Hedenus & Kristina Mohlin, 2011. "Greenhouse gas taxes on animal food products: rationale, tax scheme and climate mitigation effects," Climatic Change, Springer, vol. 108(1), pages 159-184, September.
    12. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    13. Tang, Kai & Hailu, Atakelty & Kragt, Marit E. & Ma, Chunbo, 2018. "The response of broadacre mixed crop-livestock farmers to agricultural greenhouse gas abatement incentives," Agricultural Systems, Elsevier, vol. 160(C), pages 11-20.
    14. Kai Tang & Chuantian He & Chunbo Ma & Dong Wang, 2019. "Does carbon farming provide a cost‐effective option to mitigate GHG emissions? Evidence from China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(3), pages 575-592, July.
    15. Thamo, Tas & Addai, Donkor & Pannell, David J. & Robertson, Michael J. & Thomas, Dean T. & Young, John M., 2017. "Climate change impacts and farm-level adaptation: Economic analysis of a mixed cropping–livestock system," Agricultural Systems, Elsevier, vol. 150(C), pages 99-108.
    16. Ke Wang & Linan Che & Chunbo Ma & Yi-Ming Wei, 2017. "The Shadow Price of CO2 Emissions in China's Iron and Steel Industry," CEEP-BIT Working Papers 105, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    17. Fahad, Shah & Wang, Jianling, 2018. "Farmers’ risk perception, vulnerability, and adaptation to climate change in rural Pakistan," Land Use Policy, Elsevier, vol. 79(C), pages 301-309.
    18. Birthal, Pratap S. & Negi, Digvijay S. & Khan, Md. Tajuddin & Agarwal, Shaily, 2015. "Is Indian agriculture becoming resilient to droughts? Evidence from rice production systems," Food Policy, Elsevier, vol. 56(C), pages 1-12.
    19. A. J. Challinor & J. Watson & D. B. Lobell & S. M. Howden & D. R. Smith & N. Chhetri, 2014. "A meta-analysis of crop yield under climate change and adaptation," Nature Climate Change, Nature, vol. 4(4), pages 287-291, April.
    20. Anne M. van Valkengoed & Linda Steg, 2019. "Meta-analyses of factors motivating climate change adaptation behaviour," Nature Climate Change, Nature, vol. 9(2), pages 158-163, February.
    21. Albers, Hakon & Gornott, Christoph & Hüttel, Silke, 2017. "How do inputs and weather drive wheat yield volatility? The example of Germany," Food Policy, Elsevier, vol. 70(C), pages 50-61.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Suresh, Kanesh & Khanal, Uttam & Wilson, Clevo & Managi, Shunsuke & Quayle, Annette & Santhirakumar, Samithamby, 2021. "An economic analysis of agricultural adaptation to climate change impacts in Sri Lanka: An endogenous switching regression analysis," Land Use Policy, Elsevier, vol. 109(C).
    2. Opeyemi Obafemi Adelesi & Yean-Uk Kim & Heidi Webber & Peter Zander & Johannes Schuler & Seyed-Ali Hosseini-Yekani & Dilys Sefakor MacCarthy & Alhassan Lansah Abdulai & Karin van der Wiel & Pierre C. , 2023. "Accounting for Weather Variability in Farm Management Resource Allocation in Northern Ghana: An Integrated Modeling Approach," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
    3. Nawab Khan & Ram L. Ray & Hazem S. Kassem & Muhammad Ihtisham & Abdullah & Simplice A. Asongu & Stephen Ansah & Shemei Zhang, 2021. "Toward Cleaner Production: Can Mobile Phone Technology Help Reduce Inorganic Fertilizer Application? Evidence Using a National Level Dataset," Land, MDPI, vol. 10(10), pages 1-19, September.
    4. Twecan, Dalson & Wang, Weiguang & Xu, Junzeng & Mohmmed, Alnail, 2022. "Climate change vulnerability, adaptation measures, and risk perceptions at households level in Acholi sub-region, Northern Uganda," Land Use Policy, Elsevier, vol. 115(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Twecan, Dalson & Wang, Weiguang & Xu, Junzeng & Mohmmed, Alnail, 2022. "Climate change vulnerability, adaptation measures, and risk perceptions at households level in Acholi sub-region, Northern Uganda," Land Use Policy, Elsevier, vol. 115(C).
    2. Tas Thamo & Donkor Addai & Marit E. Kragt & Ross S. Kingwell & David J. Pannell & Michael J. Robertson, 2019. "Climate change reduces the mitigation obtainable from sequestration in an Australian farming system," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), pages 841-865, October.
    3. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    4. Wu, Jianxin & Xu, Hui & Tang, Kai, 2021. "Industrial agglomeration, CO2 emissions and regional development programs: A decomposition analysis based on 286 Chinese cities," Energy, Elsevier, vol. 225(C).
    5. Nawab Khan & Ram L. Ray & Hazem S. Kassem & Muhammad Ihtisham & Abdullah & Simplice A. Asongu & Stephen Ansah & Shemei Zhang, 2021. "Toward Cleaner Production: Can Mobile Phone Technology Help Reduce Inorganic Fertilizer Application? Evidence Using a National Level Dataset," Land, MDPI, vol. 10(10), pages 1-19, September.
    6. Tang, Kai, 2024. "Agricultural adaptation to the environmental and social consequences of climate change in mixed farming systems: Evidence from North Xinjiang, China," Agricultural Systems, Elsevier, vol. 217(C).
    7. Kai Tang, 2022. "The Effect of Left-Behind Women on Fertilizer Use: Evidence from China’s Rural Households Engaging in Rural-Urban Migration," IJERPH, MDPI, vol. 20(1), pages 1-12, December.
    8. Di Zhou & Xiaoyu Liang & Ye Zhou & Kai Tang, 2020. "Does Emission Trading Boost Carbon Productivity? Evidence from China’s Pilot Emission Trading Scheme," IJERPH, MDPI, vol. 17(15), pages 1-16, July.
    9. Du, Huibin & Li, Qun & Liu, Xi & Peng, Binbin & Southworth, Frank, 2021. "Costs and potentials of reducing CO2 emissions in China's transport sector: Findings from an energy system analysis," Energy, Elsevier, vol. 234(C).
    10. Tang, Kai & Hailu, Atakelty & Kragt, Marit E. & Ma, Chunbo, 2018. "The response of broadacre mixed crop-livestock farmers to agricultural greenhouse gas abatement incentives," Agricultural Systems, Elsevier, vol. 160(C), pages 11-20.
    11. Gil-Clavel, Sofia & Wagenblast, Thorid & Filatova, Tatiana, 2023. "Farmers’ Incremental and Transformational Climate Change Adaptation in Different Regions: A Natural Language Processing Comparative Literature Review," SocArXiv 3dp5e, Center for Open Science.
    12. Tang, Kai & He, Chuantian & Ma, Chunbo & Wang, Dong, 2019. "Does carbon farming provide a cost-effective option to mitigate GHG emissions? Evidence from China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(3), July.
    13. Yong Liu & Jorge Ruiz-Menjivar & Junbiao Zhang, 2023. "Do soil nutrient management practices improve climate resilience? Empirical evidence from rice farmers in central China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10029-10054, September.
    14. Hasibuan, Abdul Muis & Gregg, Daniel & Stringer, Randy, 2020. "Accounting for diverse risk attitudes in measures of risk perceptions: A case study of climate change risk for small-scale citrus farmers in Indonesia," Land Use Policy, Elsevier, vol. 95(C).
    15. Zhaoxia Ye & Aihong Fu & Shuhua Zhang & Yuhai Yang, 2020. "Suitable Scale of an Oasis in Different Scenarios in an Arid Region of China: A Case Study of the Ejina Oasis," Sustainability, MDPI, vol. 12(7), pages 1-14, March.
    16. Yang, Jun & Cheng, Jixin & Zou, Ran & Geng, Zhifei, 2021. "Industrial SO2 technical efficiency, reduction potential and technology heterogeneities of China's prefecture-level cities: A multi-hierarchy meta-frontier parametric approach," Energy Economics, Elsevier, vol. 104(C).
    17. Heleene Tambet & Yaniv Stopnitzky, 2021. "Climate Adaptation and Conservation Agriculture among Peruvian Farmers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 900-922, May.
    18. Yang, Lin & Yang, Yuantao & Zhang, Xian & Tang, Kai, 2018. "Whether China's industrial sectors make efforts to reduce CO2 emissions from production? - A decomposed decoupling analysis," Energy, Elsevier, vol. 160(C), pages 796-809.
    19. Islam, Masanori Matsuura Yir-Huieh Luh Abu Hayat Md. Saiful, 2021. "Climate Variability, Livelihood Diversification, and Household Food Security in Bangladesh," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329402, Asian Society of Agricultural Economists (ASAE).
    20. Birthal, Pratap S. & Hazrana, Jaweriah & Negi, Digvijay S. & Pandey, Ghanshyam, 2021. "Benefits of irrigation against heat stress in agriculture: Evidence from wheat crop in India," Agricultural Water Management, Elsevier, vol. 255(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:lauspo:v:91:y:2020:i:c:s0264837719307550. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.