IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i9p859-d76946.html
   My bibliography  Save this article

The Use of Oral Histories to Identify Criteria for Future Scenarios of Sustainable Farming in the South Yangtze River, China

Author

Listed:
  • Pingyang Liu

    (Department of Environmental Science and Engineering, Fudan University, Shanghai 20433, China
    Fudan University, Shanghai, China)

  • Juan M. Moreno

    (Department of Environmental Science and Engineering, Fudan University, Shanghai 20433, China
    Values and Sustainability Group, School of Computing, Engineering and Mathematics, University of Brighton, Brighton BN2 4GJ, UK
    Fudan University, Shanghai, China)

  • Peiying Song

    (Department of Environmental Science and Engineering, Fudan University, Shanghai 20433, China
    Fudan University, Shanghai, China)

  • Elona Hoover

    (Department of Environmental Science and Engineering, Fudan University, Shanghai 20433, China
    Values and Sustainability Group, School of Computing, Engineering and Mathematics, University of Brighton, Brighton BN2 4GJ, UK
    Fudan University, Shanghai, China)

  • Marie K. Harder

    (Values and Sustainability Group, School of Computing, Engineering and Mathematics, University of Brighton, Brighton BN2 4GJ, UK
    Department of Environmental Science and Engineering, Fudan Tyndall Centre, Fudan University, Shanghai 20433, China)

Abstract

Agricultural practices in Jiangnan water towns have historically been identified as maintaining a balance between human activity and the local environment, but are now a significant local source of water pollution. Using a multi-methods approach, this study deduces the environmental impact of traditional practices, and the socially desired conditions for successfully reintroducing critical ones. Oral histories from 31 farmers in Tianshanzhuang village, South Yangtze River were in order to chart changes in farming practices over four historic periods, and used to estimate the nitrogen and phosphorus burdens per acre. Findings show that the use of Lan River Mud—dredged mud for fertilizer—was key in producing a positive impact, but abandoned after the 1980s. Four criteria hindering reintroduction of traditional practices were identified, and potentially useful but fragmented emerging local candidate practices are considered against these, as are recent practices in Japan. We propose that the cooperation of several stakeholders with various related government departments in China could lead to a portfolio of effective policy changes and should be studied further: to include new methods and uses of Lan River Mud; the integration of aquaculture, leisure and tourism industries with agriculture; and the production of organic produce with well-planned internet-linked sales, delivery and coordination mechanisms.

Suggested Citation

  • Pingyang Liu & Juan M. Moreno & Peiying Song & Elona Hoover & Marie K. Harder, 2016. "The Use of Oral Histories to Identify Criteria for Future Scenarios of Sustainable Farming in the South Yangtze River, China," Sustainability, MDPI, vol. 8(9), pages 1-24, August.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:9:p:859-:d:76946
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/9/859/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/8/9/859/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guanghua Wan & Zhangyue Zhou, 2005. "Income Inequality in Rural China: Regression‐based Decomposition Using Household Data," Review of Development Economics, Wiley Blackwell, vol. 9(1), pages 107-120, February.
    2. Ding, Shijun & Meriluoto, Laura & Reed, W. Robert & Tao, Dayun & Wu, Haitao, 2011. "The impact of agricultural technology adoption on income inequality in rural China: Evidence from southern Yunnan Province," China Economic Review, Elsevier, vol. 22(3), pages 344-356, September.
    3. Paul J. A. Withers & Colin Neal & Helen P. Jarvie & Donnacha G. Doody, 2014. "Agriculture and Eutrophication: Where Do We Go from Here?," Sustainability, MDPI, vol. 6(9), pages 1-23, September.
    4. Jiabo Chen & Jun Lu, 2014. "Effects of Land Use, Topography and Socio-Economic Factors on River Water Quality in a Mountainous Watershed with Intensive Agricultural Production in East China," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-12, August.
    5. Lv, Yao & Gu, Shu-zhong & Guo, Dong-mei, 2010. "Valuing environmental externalities from rice-wheat farming in the lower reaches of the Yangtze River," Ecological Economics, Elsevier, vol. 69(7), pages 1436-1442, May.
    6. Haynes, Kathryn, 2010. "Other lives in accounting: Critical reflections on oral history methodology in action," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 21(3), pages 221-231.
    7. Shijun Ding & Laura Meriluoto & W. Robert Reed & Daoyun Tao & Haitao Wu, 2010. "The Impact of Agricultural Technology Adoption of Income Inequality in Rural China," Working Papers in Economics 10/41, University of Canterbury, Department of Economics and Finance.
    8. Steven McGreevy, 2012. "Lost in translation: incomer organic farmers, local knowledge, and the revitalization of upland Japanese hamlets," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 29(3), pages 393-412, September.
    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. Ashton W. Merck & Khara D. Grieger & Alison Deviney & Anna-Maria Marshall, 2023. "Using a Phosphorus Flow Diagram as a Boundary Object to Inform Stakeholder Engagement," Sustainability, MDPI, vol. 15(15), pages 1-10, July.

    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. Jabłoński Łukasz, 2019. "Inequality in Economics: The Concept, Perception, Types, and Driving Forces," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 27(1), pages 17-43, March.
    2. Thanos Fragkandreas, 2022. "Three Decades of Research on Innovation and Inequality: Causal Scenarios, Explanatory Factors, and Suggestions," Working Papers 60, Birkbeck Centre for Innovation Management Research, revised Feb 2022.
    3. Hua, Ye, 2015. "Influential factors of farmers' demands for agricultural science and technology in China," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 249-254.
    4. Marcelo Santos & Tiago Neves Sequeira & Alexandra Ferreira-Lopes, 2017. "Income Inequality and Technological Adoption," Journal of Economic Issues, Taylor & Francis Journals, vol. 51(4), pages 979-1000, October.
    5. Nguyen, Canh Phuc & Doytch, Nadia, 2022. "The impact of ICT patents on economic growth: An international evidence," Telecommunications Policy, Elsevier, vol. 46(5).
    6. Tiago Neves Sequeira & Marcelo Santos & Alexandra Ferreira-Lopes, 2017. "Income Inequality, TFP, and Human Capital," The Economic Record, The Economic Society of Australia, vol. 93(300), pages 89-111, March.
    7. F. Vidogbéna & A. Adégbidi & R. Tossou & F. Assogba-Komlan & T. Martin & M. Ngouajio & S. Simon & L. Parrot & S. T. Garnett & K. K. Zander, 2016. "Exploring factors that shape small-scale farmers’ opinions on the adoption of eco-friendly nets for vegetable production," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 18(6), pages 1749-1770, December.
    8. Huang, Wu & Zeng, Di & Zhou, Shudong, 2015. "Welfare Impacts of Modern Peanut Varieties in China," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 54(3), pages 1-18, September.
    9. The Dung Bui & Dung Mau Nguyen, 2022. "Sustainable land managements in Vietnam: adoption determinants and income effects at farm household level," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9687-9703, July.
    10. Tingting Li & Hualou Long & Shuangshuang Tu & Yanfei Wang, 2015. "Analysis of Income Inequality Based on Income Mobility for Poverty Alleviation in Rural China," Sustainability, MDPI, vol. 7(12), pages 1-17, December.
    11. Lahiri, Radhika & Ding, Juhong & Chinzara, Zivanemoyo, 2018. "Technology adoption, adaptation and growth," Economic Modelling, Elsevier, vol. 70(C), pages 469-483.
    12. Manuela Magalhães & Tiago Sequeira & Óscar Afonso, 2019. "Industry Concentration and Wage Inequality: a Directed Technical Change Approach," Open Economies Review, Springer, vol. 30(3), pages 457-481, July.
    13. Ahmad Romadhoni Surya Putra, R. & Liu, Zhen & Lund, Mogens, 2017. "The impact of biogas technology adoption for farm households – Empirical evidence from mixed crop and livestock farming systems in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1371-1378.
    14. Yun Shen & Jinmin Wang & Luyao Wang & Bin Wu & Xuelan Ye & Yang Han & Rui Wang & Abbas Ali Chandio, 2022. "How Do Cooperatives Alleviate Poverty of Farmers? Evidence from Rural China," Land, MDPI, vol. 11(10), pages 1-23, October.
    15. Tao Tang & Lizeth Cuesta & Brayan Tillaguango & Rafael Alvarado & Abdul Rehman & Diana Bravo-Benavides & Natalia Zárate, 2022. "Causal Link between Technological Innovation and Inequality Moderated by Public Spending, Manufacturing, Agricultural Employment, and Export Diversification," Sustainability, MDPI, vol. 14(14), pages 1-25, July.
    16. Aynalem Shita & Nand Kumar & Seema Singh, 2021. "Technology, poverty and income distribution nexus: The case of fertilizer adoption in Ethiopia," African Development Review, African Development Bank, vol. 33(4), pages 742-755, December.
    17. Muhammad Khan & Muhammad Khan & Khalid Zaman & Muhammad Khan, 2014. "The evolving role of agricultural technology indicators and economic growth in rural poverty: has the ideas machine broken down?," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2007-2022, July.
    18. Shukun Wang & Changquan Liu & Lei Han & Tingting Li & Guolei Yang & Taofeng Chen, 2022. "Corn Grain or Corn Silage: Effects of the Grain-to-Fodder Crop Conversion Program on Farmers’ Income in China," Agriculture, MDPI, vol. 12(7), pages 1-16, July.
    19. Wang, Zheng-Xin & Jv, Yue-Qi, 2023. "Revisiting income inequality among households: New evidence from the Chinese Household Income Project," China Economic Review, Elsevier, vol. 81(C).
    20. Donatella, Baiardi & Claudio, Morana, 2015. "Financial deepening and income distribution inequality in the euro area," Working Papers 316, University of Milano-Bicocca, Department of Economics, revised 04 Dec 2015.

    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:gam:jsusta:v:8:y:2016:i:9:p:859-:d:76946. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.