IDEAS home Printed from https://ideas.repec.org/p/ags/eaa120/109429.html
   My bibliography  Save this paper

The capability of personal values and guanxi to reduce negative external effects of Chinese agriculture

Author

Listed:
  • Weber, Daniela
  • Bergmann, Holger

Abstract

China is the world’s largest producer and consumer of agricultural products, but the intensive agriculture contributes in a remarkable manner to environmental problems. Since environmental protection has recently become a popular issue in China, the government attaches great importance to the formulation of laws and regulations. Accordingly, China faces serious challenges inter alia in the accomplishment of effective agricultural trainings, environmentally sensitive farming and especially in the farmers’ willingness to adopt optimized farming approaches. In order to promote a sustainable adaption of reduced input techniques, farmers’ behaviour and their production decisions are crucial. Based on a social-psychological approach of individual behaviour, this contribution likes to close a considerable gap in analysing the Chinese farmers’ personal value positions and their social fallback system, namely personal relationship networks called guānxi. Next to the theoretical framework, this paper reports key results from a farmer survey in two intensive agricultural counties of Shandong Province on the capability of guānxi and personal values to reduce negative effects of agricultural inputs.

Suggested Citation

  • Weber, Daniela & Bergmann, Holger, 2010. "The capability of personal values and guanxi to reduce negative external effects of Chinese agriculture," 120th Seminar, September 2-4, 2010, Chania, Crete 109429, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa120:109429
    DOI: 10.22004/ag.econ.109429
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/109429/files/Weber_Bergmann.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.109429?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
    ---><---

    References listed on IDEAS

    as
    1. Potter, Simon M, 1995. "A Nonlinear Approach to US GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 109-125, April-Jun.
    2. H. M. G. Herath & J. Brian Hardaker & Jock R. Anderson, 1982. "Choice of Varieties by Sri Lanka Rice Farmers: Comparing Alternative Decision Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(1), pages 87-93.
    3. Alston, Jon P., 1989. "Wa, Guanxi, and Inhwa: Managerial principles in Japan, China, and Korea," Business Horizons, Elsevier, vol. 32(2), pages 26-31.
    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. Geir Inge ORDERUD & Rolf D. VOGT & Hongze TAN & Jing LUO, 2017. "The Role of Information and Knowledge in Achieving Environmentally Sound Farming: A Chinese Case," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 1-26, June.

    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. van Dijk, Dick & Hans Franses, Philip & Peter Boswijk, H., 2007. "Absorption of shocks in nonlinear autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4206-4226, May.
    2. Caner,M. & Hansen,B.E., 1998. "Threshold autoregression with a near unit root," Working papers 27, Wisconsin Madison - Social Systems.
    3. Von Glinow, Mary Ann & Huo, Y. Paul & Lowe, Kevin, 1999. "Leadership across the Pacific Ocean: a tri-national comparison," International Business Review, Elsevier, vol. 8(1), pages 1-15, January.
    4. Anne Morrison Piehl & Suzanne J. Cooper & Anthony A. Braga & David M. Kennedy, 2003. "Testing for Structural Breaks in the Evaluation of Programs," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 550-558, August.
    5. Pitarakis Jean-Yves, 2006. "Model Selection Uncertainty and Detection of Threshold Effects," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(1), pages 1-30, March.
    6. Balcilar, Mehmet & Hammoudeh, Shawkat & Toparli, Elif Akay, 2018. "On the risk spillover across the oil market, stock market, and the oil related CDS sectors: A volatility impulse response approach," Energy Economics, Elsevier, vol. 74(C), pages 813-827.
    7. Sugu M.M. Zuhair & Daniel B. Taylor & Randall A. Kramer, 1992. "Choice of utility function form: its effect on classification of risk preferences and the prediction of farmer decisions," Agricultural Economics, International Association of Agricultural Economists, vol. 6(4), pages 333-344, April.
    8. Kapetanios, G. & Weeks, M., 2003. "Non-nested Models and the likelihood Ratio Statistic: A Comparison of Simulation and Bootstrap-based Tests," Cambridge Working Papers in Economics 0308, Faculty of Economics, University of Cambridge.
    9. Bahar Araz-Takay & K. Peren Arin & Tolga Omay, 2009. "The Endogenous And Non-Linear Relationship Between Terrorism And Economic Performance: Turkish Evidence," Defence and Peace Economics, Taylor & Francis Journals, vol. 20(1), pages 1-10.
    10. Elvio Accinelli & Juan Gabriel Brida, 2007. "Modelos económicos con múltiples regímenes," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, vol. 1(2), pages 96-115.
    11. Jin, Xiaoye, 2015. "Volatility transmission and volatility impulse response functions among the Greater China stock markets," Journal of Asian Economics, Elsevier, vol. 39(C), pages 43-58.
    12. Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016. "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, vol. 32(2), pages 283-292.
    13. Chih-Ting Shih & Cheng-Chen Lin, 2014. "From good friends to good soldiers: A psychological contract perspective," Asia Pacific Journal of Management, Springer, vol. 31(1), pages 309-326, March.
    14. Ólan T. Henry & Peter M. Summers, 2000. "Australian Economic Growth: Nonlinearities and International Influences," The Economic Record, The Economic Society of Australia, vol. 76(235), pages 365-373, December.
    15. Alejandro López-Vera & Andrés D. Pinchao-Rosero & Norberto Rodríguez-Niño, 2018. "Non-Linear Fiscal Multipliers for Public Expenditure and Tax Revenue in Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 36(85), pages 48-64, April.
    16. Khurshid M. KIANI & Terry L. KASTENS, 2006. "Using Macro-Financial Variables To Forecast Recessions. An Analysis Of Canada, 1957-2002," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 6(3).
    17. Jaehee Kim & Sooyoung Cheon, 2010. "A Bayesian regime‐switching time‐series model," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(5), pages 365-378, September.
    18. Tan, Justin & Yang, Jun & Veliyath, Rajaram, 2009. "Particularistic and system trust among small and medium enterprises: A comparative study in China's transition economy," Journal of Business Venturing, Elsevier, vol. 24(6), pages 544-557, November.
    19. Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2008. "Are output growth-rate distributions fat-tailed? some evidence from OECD countries," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 639-669.
    20. Chitsaz, Ehsan & Liang, Dapeng & Khoshsoroor, Somayeh, 2017. "The impact of resource configuration on Iranian technology venture performance," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 186-195.

    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:ags:eaa120:109429. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.html .

    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.